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Poster Session I (PI 1-106)Displayed 8:00 am – 3:00 ... - Nature

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nature publishing group<br />

METHODS: 16 adult males participated in this open-label, SD,<br />

parallel-group PET study to evaluate the magnitude and duration of<br />

NK 1 -RO. Subjects received IV 150-mg fosaprepitant (n=8) or oral<br />

165-mg aprepitant (n=8), and dex<strong>am</strong>ethasone and ondansetron. Subjects<br />

had 3 PET scans (baseline and 2 postdose scans at T max , 24, 48, or<br />

120 hrs postdose). Blood was collected for plasma aprepitant assay at<br />

selected time points over 120 hrs postdose.<br />

RESULTS: After a 20-min IV infusion of 150 mg fosaprepitant,<br />

NK 1 -RO at T max (~30 min) and 24 hrs postdose was 1<strong>00</strong>%, at<br />

48 hrs postdose it was ≥ 97%, and at 120 hrs postdose it was 41% to<br />

75%. After oral 165 mg aprepitant, NK 1 -RO at T max (~4 hrs) and 24<br />

hrs postdose was ≥ 99%, at 48 hrs postdose it was ≥ 97%, and at 120<br />

hrs postdose it was 37% to 76%. Mean aprepitant plasma concentrations<br />

at C 24hr , C 48hr , and C 72hr after 150 mg fosaprepitant were 761,<br />

225, and 92.5 ng/mL, respectively; after 165 mg aprepitant, they were<br />

<strong>106</strong>5, 380, and 142 ng/mL, respectively. At 24 and 48 hrs postdose,<br />

the GMR [oral/IV] and 90% CI was 1.<strong>00</strong> (0.99, 1.01) and 1.<strong>00</strong> (0.98,<br />

1.02), respectively. The NK 1 -RO levels at T max and 120 hrs postdose<br />

are comparable as the GMR [oral/IV] and 90% CI were 1.<strong>00</strong> (0.97,<br />

1.03) at T max and 0.91 (0.50, 1.66) at 120 hrs postdose. NK 1 -RO by<br />

aprepitant correlates with plasma concentration with clinically relevant<br />

NK 1 -ROs of ≥97% at 24 and 48 hrs postdose.<br />

CONCLUSION: SD 165 mg oral aprepitant and 150 mg IV fosaprepitant<br />

result in equivalent brain NK 1 -RO.<br />

OI-A-2<br />

BNA REVEALS FM-THETA NETWORK IN A WORKING<br />

MEMORY TASK PERFORMED UNDER DONEPEZIL AND<br />

PLACEBO CONDITIONS. A. Reches, 1 K. Ziv, 1 I. Laufer, 1 A. B. Geva, 1<br />

A. Gazzaley 2 ; 1 ElMindA LTD, Herzliya, Israel, 2 UCSF, San-Francisco,<br />

CA A. Reches: 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug;<br />

Elminda. K. Ziv: 2. I <strong>am</strong> a paid consultant/employee for; Company/<br />

Drug; Elminda. I. Laufer: 2. I <strong>am</strong> a paid consultant/employee for;<br />

Company/ Drug; Elminda. A.B. Geva: 2. I <strong>am</strong> a paid consultant/<br />

employee for; Company/Drug; Elminda. 5. I <strong>am</strong> a significant stockholder<br />

for; Company/Drug; Elminda. A. Gazzaley: 1. This research<br />

was sponsored by; Company/Drug; NIH K award. 6. I will be discussing<br />

the following product, which is not labeled for the use under<br />

discussion, or the product is still investigational; Company/Drug;<br />

Donepezil.<br />

BACKGROUND: Donepezil (DPZ) has proven effective in treating<br />

mild to moderate Alzheimer’s disease. However, reports on the positive<br />

effects of DPZ on healthy individuals are scarce. The objective of<br />

the current study was to test the effect of DPZ on healthy volunteers<br />

while performing a working memory task.<br />

METHODS: The electroencephalogr<strong>am</strong> (EEG) was recorded in<br />

14 healthy adult participants while they performed a selective face/<br />

scene working memory task. Participants were asked to remember<br />

faces (ignore scenes), remember scenes (ignore faces) or passively<br />

view all stimuli. Each subject received both placebo and DPZ (5 mg,<br />

orally) on two different visits in a double blinded study. To differentiate<br />

between conditions we used a network-oriented analysis method<br />

(Brain Network Analysis [BNA] algorithm) that seeks spatio-temporal<br />

interrelations <strong>am</strong>ong multi-sited ERP activity peaks in a group of<br />

subjects.<br />

RESULTS: The BNA algorithm revealed a distinguishing network<br />

(P


aBsTraCTs nature publishing group<br />

BACKGROUND: Most methods for measuring drug effects on<br />

the CNS rely on subjective assessments. The present research project<br />

focused on objective measures to assess the stimulant effect of armodafinil.<br />

The hypothesis was that the drug-related effects on alertness,<br />

EEG and drug concentrations are correlated.<br />

METHODS: In a double-blind, placebo-controlled, cross-over<br />

design, this study involved six healthy adults who participated were in<br />

three sessions. In each session, the subjects underwent 24-hour sleep<br />

deprivation after which a single oral dose of the test drug was administered<br />

(placebo, armodafinil 150 mg or 250 mg). The subjects underwent<br />

12-hour sleep deprivation post-dose during which psychomotor<br />

vigilance task, go/no-go task, EEG recording and blood s<strong>am</strong>pling were<br />

simultaneously performed. Event-related potential (ERP) analysis was<br />

conducted in BESA ® . A simultaneous PK/PD fitting was performed<br />

using a non-linear mixed-effects approach in NONMEM 7.<br />

RESULTS: Armodafinil effect on alertness was correlated with<br />

the effect compartment drug concentrations by an E max model. The<br />

population estimates of ke0, E max (fraction of baseline) and EC50<br />

were 0.568 (± 0.219) h -1 , 0.345 (±0.031) and 2.77 (±1.82) μg mL -1 ,<br />

respectively. The time-varying baseline was described by a quadratic<br />

function. Armodafinil pharmacokinetics was best described by a onecompartment<br />

model with first-order elimination and absorption with<br />

lag-time. Overall, the increase in alertness was accompanied by an<br />

increase in the <strong>am</strong>plitude of the positive ERP peak at around 380 ms<br />

(Pearson’s correlation, r=-0.74, p=1.62.10 -7 ).<br />

CONCLUSION: Armodafinil increased the alertness of sleep<br />

deprived adults which showed to be correlated with the effect compartment<br />

drug concentrations. A significant correlation between alertness<br />

and event-related changes on EEG brings the possibility of utilizing<br />

EEG to describe the armodafinil response.<br />

<strong>PI</strong>-1<br />

MIRTAZA<strong>PI</strong>NE SUPPRESSES THE INCREASES IN PLASMA<br />

LEVELS OF ADRENOCORTICOTRO<strong>PI</strong>C HORMONE AND NEU-<br />

ROPEPTIDE Y UNDER CONTINUAL STRESS EXPOSURE.<br />

K. Arao, Y. Makihara, Y. Suzuki, T. Abe, Y. Sato, M. Takey<strong>am</strong>a; Oita<br />

University Hospital, Oita, Japan. K. Arao: None. Y. Makihara:<br />

None. Y. Suzuki: None. T. Abe: None. Y. Sato: None. M. Takey<strong>am</strong>a:<br />

None.<br />

BACKGROUND: Some depressions are presumed to result<br />

from changes in levels of stress-related hormones released from the<br />

hypothal<strong>am</strong>ic-pituitary-adrenal (HPA) axis and sympathetic nervous<br />

system (SNS), represented by adrenocorticotropic hormone<br />

(ACTH) and neuropeptide Y (NPY), respectively. Venipuncture for<br />

blood s<strong>am</strong>pling has been proposed to be a stress factor that increases<br />

circulating ACTH and NPY levels. We ex<strong>am</strong>ined the effects of mirtazapine<br />

on plasma levels of ACTH- and NPY-like immunoreactive<br />

substances (IS) in healthy subjects under continual stress induced by<br />

repetitive venipunctures for blood s<strong>am</strong>pling.<br />

METHODS: An open-labeled crossover study was conducted<br />

on eight healthy volunteers. Each subject was administered a single<br />

oral dose of mirtazapine (15 mg, Reflex Tablet, Meiji Seika Co. Ltd.,<br />

Osaka) or placebo at an interval of one month. Venous blood s<strong>am</strong>ples<br />

were collected repetitively before and after each administration.<br />

Plasma levels of ACTH- and NPY-IS were measured using a highly<br />

sensitive enzyme immunoassay.<br />

RESULTS: In the placebo group, plasma ACTH-IS levels at<br />

240 min and NPY-IS levels at 40 min increased significantly compared<br />

with the levels before administration, presumably due to stress.<br />

Oral administration of mirtazapine resulted in significant decreases in<br />

plasma ACTH-IS level at 60 and 240 min and NPY-IS level at 20 and<br />

40 min compared with placebo administration.<br />

CONCLUSION: A single oral dose of mirtazapine modulated<br />

plasma levels of ACTH- and NPY-IS under stress conditions. These<br />

findings suggest that the antidepressant activity of mirtazapine may<br />

involve the suppression of not only the HPA axis but also the SNS.<br />

<strong>PI</strong>-2<br />

BOTH CYP2C19 AND PON1 GENOTYPES ARE ASSOCI-<br />

ATED WITH THE CLINICAL OUTCOME OF CLO<strong>PI</strong>DOGREL<br />

IN PATIENTS WITH ACUTE MYOCARDIAL INFARCTION BUT<br />

NOT ANGINA.H. Kim, 1 K. Chang, 2 Y. Koh, 3 M. Park, 4 Y. Choi, 5<br />

C. Park, 5 S. Lee, 6 M. Oh, 6 S. Lee, 6 E. Kim, 1 J. Shon, 1 E. Chu, 2<br />

H. Park, 2 P. Kim, 2 S. Her, 4 D. Kim, 7 J. Lee, 3 H. Kim, 8 K. Yoo, 9<br />

D. Jeon, 10 W. Chung, 2 K. Seung, 2 J. Shin 1 ; 1 Department of Pharmacology<br />

and Clinical Pharmacology, Inje University College of Medicine<br />

and Busan Paik Hospital, Busan, Korea, Republic of, 2 Cardiovascular<br />

Center and Cardiology Division, Seoul St. Mary’s Hospital and College<br />

of Medicine, The Catholic University of Korea, Seoul, Korea, Republic<br />

of, 3 Department of Cardiology, Catholic University Uijeongbu<br />

St. Mary’s Hospital, Uijeongbu, Korea, Republic of, 4 Department of<br />

Cardiology, Catholic University Daejeon St. Mary’s Hospital, Daejeon,<br />

Korea, Republic of, 5 Department of Cardiology, Catholic University<br />

Yeouido St. Mary’s Hospital, Seoul, Korea, Republic of, 6 Department<br />

of Pharmacology and PharmacoGenomics Research Center, Inje University<br />

College of Medicine, Busan, Korea, Republic of, 7 Department<br />

of Cardiology, Catholic University St. Paul’s Hospital, Seoul, Korea,<br />

Republic of, 8 Department of Cardiology, Catholic University Bucheon<br />

St. Mary’s Hospital, Bucheon, Korea, Republic of, 9 Department of<br />

Cardiology, Catholic University St. Vincent’s Hospital, Suwon, Korea,<br />

Republic of, 10 Department of Cardiology, Catholic University Incheon<br />

St. Mary’s Hospital, Incheon, Korea, Republic of. H. Kim: None.<br />

K. Chang: None. Y. Koh: None. M. Park: None. Y. Choi: None.<br />

C. Park: None. S. Lee: None. M. Oh: None. S. Lee: None. E. Kim:<br />

None. J. Shon: None. E. Chu: None. H. Park: None. P. Kim: None.<br />

S. Her: None. D. Kim: None. J. Lee: None. H. Kim: None. K. Yoo:<br />

None. D. Jeon: None. W. Chung: None. K. Seung: None. J. Shin:<br />

None.<br />

BACKGROUND: The effect of CYP2C19 and PON1 genotypes<br />

on the clinical outcome of clopidogrel therapy are different in patients<br />

with PCI from stable angina and from AMI, especially in Asian populations<br />

whose genetic profiles of CYP2C19 PM and PON1 Q192R are<br />

different from other ethnic populations. This study was addressed to<br />

evaluate the effects of CYP2C19 and paraoxonase-1 (PON1) genotypes<br />

on the clinical outcome of clopidogrel in the patients with angina<br />

and acute myocardial infarction (AMI) after undergoing percutaneous<br />

coronary intervention (PCI).<br />

METHODS: From the genetic association study, the functional<br />

variants of 7 candidate genes were evaluated for the clinical outcome<br />

of clopidogrel therapy in 2188 patients (532 AMI and 1656 angina)<br />

undergoing PCI. The primary clinical outcome was measured for<br />

major cardiac and cerebrovascular event (MACCE) during 1 year<br />

follow-up.<br />

RESULTS: Both CYP2C19 poor metabolizer (PM) and PON1<br />

QQ192 genotype were significantly associated with higher risk of<br />

MACCE in patients who received emergency PCI from AMI, not an<br />

elective PCI from angina. However, the effect on platelet P2Y12 reactivity<br />

unit was only associated with CYP2C19 PM genotype, not by<br />

PON1 QQ192 genotype. The risk of MACCE was highest when both<br />

genotypes of CYP2C19 PM and PON1 QQ192 were combined in AMI<br />

subpopulation (adjusted hazard ratio [HR] (95% confidence interval<br />

[CI]), 10.16 (2.84-36.40), p


nature publishing group<br />

self-reports are often unreliable, a biomarker of alcohol use during<br />

pregnancy is needed to accurately determine fetal exposure. Ethyl glucuronide<br />

(EtG) is a direct metabolite of ethanol that has been detected<br />

in the meconium, or first stool of life, of infants born to mothers who<br />

consumed alcohol during pregnancy. The purpose of this study was<br />

therefore to determine to what extent EtG crosses the human placenta.<br />

METHODS: Placentae (n=4) from consenting women undergoing<br />

elective Caesarian section at St. Michael’s Hospital in Toronto,<br />

Ontario were taken to the on-site perfusion laboratory. After cannulation<br />

and establishment of dual circulation, 1 μg/mL EtG was added<br />

to the maternal reservoir and s<strong>am</strong>ples were taken throughout the 3 h<br />

experiment. Measurements of placental viability were oxygen transfer,<br />

pH, glucose consumption, hCG production, fetal reservoir volume, and<br />

fetal arterial inflow pressure. EtG was analyzed by GC-MS after solid<br />

phase extraction.<br />

RESULTS: After 3 h, a fetal-to-maternal ratio of 0.29 was reached,<br />

however EtG had not reached steady state between the 2 circulations<br />

as net maternal-to-fetal transfer was still occurring at the end of the<br />

experiment (Figure). Placental validation markers were within normal<br />

ranges for all perfusions.<br />

CONCLUSION: EtG appears to cross the human placenta and,<br />

hence, represent both maternal and fetal load of alcohol.<br />

EtG Concentration (ng/mL)<br />

14<strong>00</strong><br />

12<strong>00</strong><br />

1<strong>00</strong>0<br />

8<strong>00</strong><br />

6<strong>00</strong><br />

4<strong>00</strong><br />

2<strong>00</strong><br />

0<br />

0 20 40 60 801<strong>00</strong> 120 140 160 180 2<strong>00</strong><br />

<strong>–</strong>2<strong>00</strong><br />

Time (minutes)<br />

Maternal<br />

Fetal<br />

<strong>PI</strong>-4<br />

HAIR COCAETHYLENE AS A BIOMARKER OF ALCOHOL<br />

AND COCAINE CO-EXPOSURE. A. Natekar, K. Aleksa, G. Koren;<br />

The Hospital for Sick Children, Toronto, ON, Canada. A. Natekar:<br />

None. K. Aleksa: None. G. Koren: None.<br />

BACKGROUND: Cocaethlyene (CE) is a metabolite formed during<br />

cocaine and alcohol co-consumption. CE is pharmacologically<br />

active, prolonging cocaine-related effects, and is found in human hair.<br />

Currently, there are no studies that have clinically validated its use in<br />

drug testing.<br />

METHODS: Participants were referred to the Motherisk Laboratory<br />

for hair testing by social workers, lawyers, and other professionals.<br />

Since September 1, 2010, 588 participants were tested.<br />

We used liquid-liquid extraction and solid-phase microextraction<br />

to isolate cocaine, CE, benzoylecgonine (>=5% of cocaine indicates<br />

use), and fatty acid ethyl esters (FAEE), a biomarker of alcohol<br />

consumption. Analysis was performed using GC-MS. Logistic<br />

Regression, Mann-Whitney Test, and a Chi-Square Test was performed<br />

on the data.<br />

RESULTS: Out of 588 individuals tested for cocaine and chronic<br />

alcohol abuse, 202 individuals were confirmed cocaine users. Of these,<br />

99 individuals were positive for both cocaine use and FAEE, representing<br />

42.1% of FAEE positive results. There was difficulty identifying<br />

CE compared to BZE, as the two metabolites have similar retention<br />

times on GC-MS. The Chi-Square Test found a P


aBsTraCTs nature publishing group<br />

CONCLUSION: Single dose add-on of SAR to <strong>am</strong>lodipine on Day<br />

1 or on Day 10 resulted in an additional SBP / DBP drop compared to<br />

<strong>am</strong>lodipine alone, suggesting a synergistic effect on smooth muscle cell<br />

constriction. This additive effect is no longer seen when parallel doses of<br />

SAR + <strong>am</strong>lodipine were continued for 9 days since no additional decrease<br />

in SBP / DBP was observed on Day 9 compared to <strong>am</strong>lodipine alone.<br />

<strong>PI</strong>-6<br />

IDENTIFYING DIGOXIN DRUG INTERACTION POTENTIAL<br />

BY RECEIVER OPERATING CHARACTERISTIC ANALYSIS. H.<br />

Ellens, 1 C. A. Lee, 2 J. Bentz, 3 J. Palm, 4 K. Herdi-Szab, 5 M. E. Taub, 6<br />

D. Bednarczyk, 7 E. Perloff, 8 C. Funk, 9 P. Balimane, 10 L. Salphati, 11<br />

A. Guo, 12 I. Hanna, 13 C. Xia, 14 L. Li, 15 G. Xiao, 16 H. Wortelboer, 17<br />

D. Weitz, 18 A. Pak, 19 E. Reyner, 2 J. Taur, 20 X. Chu, 21 T. Y<strong>am</strong>agata, 22<br />

S. Deng, 23 G. Rajar<strong>am</strong>an 24 ; 1 GlaxoSmithKline, Philadelphia, PA, 2 Consultant,<br />

Carlsbad, CA, 3 Drexel University, Philadelphia, PA, 4 Astra-<br />

Zeneca, Molndal, Sweden, 5 Solvo, Szeged, Hungary, 6 Boehringer<br />

Ingelheim, Ridgefield, CT, 7 Novartis, Boston, MA, 8 BD Biosciences,<br />

Boston, MA, 9 Roche, Basel, Switzerland, 10 Bristol Meyers Squibb,<br />

Princeton, NJ, 11 Genentech, San Francisco, CA, 12 Roche, Nutley, NJ,<br />

13 Novartis, East Hanover, NJ, 14 Millenium, Boston, MA, 15 Absorption<br />

Systems, Exton, PA, 16 BiogenIdec, Boston, MA, 17 TNO Quality of Life,<br />

Utrecht Area, Netherlands, 18 Sanofi-Aventis, Frankfurt, Germany, 19 Eli<br />

Lilly, Indianapolis, IN, 20 Eisai, Boston, MA, 21 Merck, Rahway, NJ,<br />

22 Merck Serono, Grafing, Germany, 23 Pfizer, La Jolla, CA, 24 CellzDirect,<br />

Austin, TX. H. Ellens: None. C.A. Lee: None. J. Bentz: None. J. Palm:<br />

None. K. Herdi-Szab: None. M.E. Taub: None. D. Bednarczyk: None.<br />

E. Perloff: None. C. Funk: None. P. Balimane: None. L. Salphati:<br />

None. A. Guo: None. I. Hanna: None. C. Xia: None. L. Li: None.<br />

G. Xiao: None. H. Wortelboer: None. D. Weitz: None. A. Pak: None.<br />

E. Reyner: None. J. Taur: None. X. Chu: None. T. Y<strong>am</strong>agata: None.<br />

S. Deng: None. G. Rajar<strong>am</strong>an: None.<br />

BACKGROUND: Digoxin, an orally administered cardiac glycoside,<br />

has a narrow therapeutic window and is susceptible to transporter-mediated<br />

drug interactions (DDI). Recent in vitro methods to<br />

predict potential clinical digoxin DDIs of new candidate drugs have<br />

centered on the ability to inhibit P-glycoprotein (P-gp). The objectives<br />

of this study were to apply statistical Receiver Operating Characteristic<br />

(ROC) analysis to define new in vitro cut-off values to anticipate<br />

potential digoxin DDIs using Pgp expressing cell lines and vesicles.<br />

METHODS: Twenty-four commercial laboratories collaborated to<br />

generate IC 50 data in three cell systems, plus vesicles, using four equations<br />

and multiple commercial nonlinear regression progr<strong>am</strong>s. P-gp<br />

inhibition data were fitted to several logistic and nonlinear regression<br />

equations, and statistics were applied to identify robust data for variability<br />

analysis. ROC analysis was conducted utilizing all in vitro IC 50<br />

values generated by all companies and for individual laboratories.<br />

RESULTS: Principal component analysis indicated that the cells/vesicles<br />

utilized were the primary source of variability whereas the different<br />

equations used to calculate the cell line IC 50 values were a secondary<br />

source. The in vitro cut-off values of inhibitor maximum concentration<br />

at steady state (I) divided by P-gp inhibitory potency (IC 50 ) of > 0.1 or<br />

the nominal gut concentration (I 2 ) divided by IC 50 of > 10 were less predictive<br />

of clinical digoxin DDI when all companies data were utilized<br />

(ROC area under the curve [AUC’] < 0.7) than individual laboratory<br />

ROC analyses, which define unique in vitro cut-off values, AUC’ > 0.8.<br />

CONCLUSION: We propose that digoxin DDI potential is better<br />

predicted using individual laboratory defined in vitro I/IC 50 and I 2 /IC 50<br />

cut off values based on ROC analysis and advocate this methodology<br />

to anticipate DDIs with digoxin.<br />

<strong>PI</strong>-7<br />

NO EFFECT OF PAR-1 RECEPTOR ANTAGONIST VORAPAXAR<br />

ON QT/QTC INTERVAL IN HEALTHY VOLUNTEERS.T. Kosoglou, 1<br />

T. L. Hunt, 2 F. Xuan, 1 B. Kumar, 1 P. Statkevich, 1 S. Young, 1 R. Hoffman, 1<br />

A. G. Meehan, 1 D. L. Cutler 1 ; 1 Merck Sharp & Dohme Corp., Whitehouse<br />

Station, NJ, 2 PPD Development LP, Austin, TX. T. Kosoglou: 1. This<br />

research was sponsored by; Company/Drug; Merck. 2. I <strong>am</strong> a paid<br />

consultant/employee for; Company/Drug; Merck. 5. I <strong>am</strong> a significant<br />

stockholder for; Company/Drug; Merck. T.L. Hunt: 1. This research<br />

was sponsored by; Company/Drug; Merck. F. Xuan: 1. This research<br />

was sponsored by; Company/Drug; Merck. 2. I <strong>am</strong> a paid consultant/<br />

employee for; Company/Drug; Merck. 5. I <strong>am</strong> a significant stockholder<br />

for; Company/Drug; Merck. B. Kumar: 1. This research was sponsored<br />

by; Company/Drug; Merck. 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Merck. 5. I <strong>am</strong> a significant stockholder for;<br />

Company/Drug; Merck. P. Statkevich: 1. This research was sponsored<br />

by; Company/Drug; Merck. 2. I <strong>am</strong> a paid consultant/employee for;<br />

Company/ Drug; Merck. 5. I <strong>am</strong> a significant stockholder for; Company/<br />

Drug; Merck. S. Young: 1. This research was sponsored by; Company/<br />

Drug; Merck. 2. I <strong>am</strong> a paid consultant/employee for; Company/ Drug;<br />

Merck. 5. I <strong>am</strong> a significant stockholder for; Company/Drug; Merck.<br />

R. Hoffman: 1. This research was sponsored by; Company/Drug;<br />

Merck. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; Merck.<br />

5. I <strong>am</strong> a significant stockholder for; Company/Drug; Merck. A.G. Meehan:<br />

1. This research was sponsored by; Company/Drug; Merck. 2.<br />

I <strong>am</strong> a paid consultant/employee for; Company/Drug; Merck. 5. I <strong>am</strong> a<br />

significant stockholder for; Company/Drug; Merck. D.L. Cutler: 1. This<br />

research was sponsored by; Company/Drug; Merck. 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Merck. 5. I <strong>am</strong> a significant stockholder<br />

for; Company/Drug; Merck.<br />

BACKGROUND: We evaluated the QT/QTc prolongation and<br />

proarrhythmic potential of the PAR-1 receptor antagonist vorapaxar<br />

(VOR) as per ICH E14 Guidance.<br />

METHODS: This was a randomized, double-blind (for VOR &<br />

placebo [PBO]), PBO- and positive-controlled (moxifloxacin [MOX]<br />

4<strong>00</strong> mg) parallel group study assessing the effect of a single VOR<br />

120 mg dose on QT/QTc interval in 120 men and women ages 18-50<br />

yrs (n=40/group). This VOR dose achieves ~3 x the exposure (based<br />

on C max and AUC 0-24 ) of the 40-mg loading dose and ~9 x and 5 x,<br />

respectively, the SS exposure of the 2.5-mg QD maintenance dose.<br />

12-lead ECGs were obtained in triplicate at 9 timepoints over 24 hrs<br />

using Mortara H12+ Holters. If the largest upper bound of the 95%<br />

one-sided CI for the mean difference in QTcF (primary endpoint)<br />

between VOR and PBO was 10 msec at 1,<br />

1.5 and 2 hrs postdose relative to PBO validating the study sensitivity.<br />

VOR 120 mg had no significant effect on QTcF over the 23-hr postdose<br />

evaluation period (figure); at all timepoints the upper 95% CI for<br />

the mean difference between PBO and VOR was ≤3.8 msec and the<br />

mean difference was ≤1.0 msec. Results of the QTcB, QTcI and uncorrected<br />

QT analyses were concordant with the QTcF analysis.<br />

CONCLUSION: VOR was well tolerated and had no effect on QT/<br />

QTc interval in healthy subjects.<br />

s10 volume 91 supplemenT 1 | marCh 2012 | www.nature.com/cpt<br />

Mean (upper bound of 95% Cl)<br />

difference between treatment vs. placebo<br />

20<br />

15<br />

10<br />

5<br />

0<br />

<strong>–</strong>5<br />

0 1 2 4 6 12<br />

Hour<br />

MOX vs. PBO<br />

VOR vs. PBO<br />

23


nature publishing group<br />

<strong>PI</strong>-8<br />

PHARMACOKINETICS AND PHARMACODYNAMICS OF<br />

MDCO-216 (APOA-I MILANO/POPC COMPLEX), A REVERSE<br />

CHOLESTEROL TRANSPORT (RCT) INDUCER IN CYNOMOL-<br />

GUS MONKEYS AFTER SINGLE DOSE AND 6 WEEKS OF<br />

TREATMENT. S. E. Bellibas, B. Zerler, H. Kempen, D. Goundis,<br />

P. Wijngaard; The Medicines Company, Parsippany, NJ. S.E. Bellibas:<br />

1. This research was sponsored by; Company/Drug; The Medicines<br />

Company. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; The<br />

Medicines Company. B. Zerler: 2. I <strong>am</strong> a paid consultant/employee for;<br />

Company/Drug; The Medicines Company. H. Kempen: 2. I <strong>am</strong> a paid<br />

consultant/employee for; Company/Drug; The Medicines Company.<br />

D. Goundis: 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug;<br />

The Medicines Company. P. Wijngaard: 2. I <strong>am</strong> a paid consultant/<br />

employee for; Company/Drug; The Medicines Company.<br />

BACKGROUND: MDCO-216 is a complex of recombinant<br />

dimeric apolipoprotein A-I Milano (ApoA-IM, a genetic variant of natural<br />

ApoA-I) and POPC, a naturally occurring phospholipid. MDCO-<br />

216 mimics pre-beta HDL in both structure and function, and in earlier<br />

studies was shown to reduce atherosclerotic plaque size and volume<br />

in animals and patients with ACS. The objective of this study was to<br />

investigate the PK and PD of MDCO-216 in cynomolgus monkeys.<br />

METHODS: Animals were randomly divided into 4 groups (3 M<br />

and 3 F per group) and treated with vehicle or MDCO-216 at 30, 1<strong>00</strong><br />

and 3<strong>00</strong> mg/kg dose as 60 min IV infusion every 2 days over a period<br />

of 41 days. PK s<strong>am</strong>ples were taken at the end of infusion and 1, 2, 4,<br />

8, 24 and 48 hour post-infusion. Serum lipids and apoproteins were<br />

determined as PD par<strong>am</strong>eters at baseline and on days 15 and 41 with<br />

s<strong>am</strong>ples taken just prior to the next dosing.<br />

RESULTS: MDCO-216 mean serum concentrations for M and F<br />

monkeys were similar and increased in a dose proportional manner.<br />

C max levels obtained at the end of infusion were 691±50 and 709±95,<br />

2330±191 and 2020±99, 6470±975 and 6180±502 μg/mL (mean±SD)<br />

for M and F monkeys in 30, 1<strong>00</strong> and 3<strong>00</strong> mg/kg dose groups, respectively.<br />

PK levels appeared to decline in a bi-phasic manner with t 1/2 values<br />

ranging from 28.4 to 42 hours. Total CL was independent of gender<br />

and appeared to increase with escalating doses ranging from 0.0131<br />

to 0.0207 mL/min/kg in low dose and 0.0318 to 0.0641 mL/min/kg in<br />

high dose groups. Mean volume of distribution (Vz) values per dose<br />

group ranged from 0.0599 to 0.192 L/kg.<br />

CONCLUSION: MDCO-216 induced RCT with pronounced<br />

increases in the serum levels of free cholesterol (>10-fold with the<br />

highest dose) and phospholipids (up to 5-fold). Similar to what<br />

was observed in individuals with the ApoA-IM mutation, levels of<br />

ApoA-I and ApoA-II decreased by 50 and 80%, respectively. These<br />

findings support the potential use of ApoA-IM for atherosclerotic<br />

plaque regression as previously shown in a small study with ACS<br />

patients.<br />

<strong>PI</strong>-9<br />

DRUG INTERACTION STUDY OF IPRAGLIFLOZIN AND MIGI-<br />

TOL IN HEALTHY JAPANESE SUBJECTS. I. Nakajo, 1 Y. Taniuchi, 1<br />

S. Yoshida, 1 T. Kadokura, 1 S. Kagey<strong>am</strong>a 2 ; 1 Astellas Pharma Inc, Tokyo,<br />

Japan, 2 Jikei University School of Medicine, Tokyo, Japan.<br />

I. Nakajo: 1. This research was sponsored by; Company/Drug;<br />

Astellas Pharma Inc. 2. I <strong>am</strong> a paid consultant/employee for; Company/<br />

Drug; Astellas Pharma Inc. Y. Taniuchi: 1. This research was sponsored<br />

by; Company/Drug; Astellas Pharma Inc. 2. I <strong>am</strong> a paid consultant/<br />

employee for; Company/Drug; Astellas Pharma Inc. S. Yoshida:<br />

1. This research was sponsored by; Company/Drug; Astellas Pharma<br />

Inc. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; Astellas<br />

Pharma Inc. T. Kadokura: 1. This research was sponsored by;<br />

Company/Drug; Astellas Pharma Inc. 2. I <strong>am</strong> a paid consultant/<br />

employee for; Company/Drug; Astellas Pharma Inc. S. Kagey<strong>am</strong>a:<br />

1. This research was sponsored by; Company/Drug; Astellas Pharma<br />

Inc. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; Astellas<br />

Pharma Inc.<br />

aBsTraCTs<br />

BACKGROUND: Ipragliflozin (ASP 1941) is a novel selective<br />

sodium glucose co-transporter (SGLT) 2 inhibitor in development for<br />

the treatment of type 2 diabetes mellitus (T2DM). This novel drug is<br />

likely to be used concomitantly with other glucose-lowering drugs<br />

like miglitol. Miglitol can be absorbed via SGLT1; ipragliflozin has a<br />

very weak inhibitory effect on SGLT1. The aim of this drug interaction<br />

study was to evaluate the pharmacokinetics (PK) and safety of both<br />

drugs after dosing alone and in co-administration.<br />

METHODS: This was a 6 sequence single-dose, 3-way crossover<br />

study in 30 healthy Japanese male subjects. Each subject received 1<strong>00</strong><br />

mg ipragliflozin alone, 75 mg miglitol alone or both drugs in combination<br />

(under fasting conditions) on the administration day of each<br />

period with at least a 6 day wash-out between each period. Primary PK<br />

variables were C max and AUC inf . Secondary variables were t ½ , AUC last ,<br />

CL/F and t max . Safety par<strong>am</strong>eters were also assessed.<br />

RESULTS: The geometric mean ratios (GMRs) [90% CIs] for C max<br />

and AUC inf of ipragliflozin after co-administration with miglitol versus<br />

ipragliflozin alone were 1.034 [0.944-1.132] and 1.015 [0.988-1.043],<br />

respectively. The GMRs [90% CIs] for C max and AUC inf of miglitol<br />

after co-administration with ipragliflozin versus miglitol alone were<br />

0.761 [0.672-0.861] and 0.796 [0.719-0.881], respectively. No clinically<br />

significant concerns were identified for ipragliflozin administered<br />

alone or in combination with miglitol in healthy male subjects.<br />

CONCLUSION: The PK of ipragliflozin was similar whether dosing<br />

alone or in co-administration with miglitol, indicating no drugdrug<br />

interactions. The C max and AUC inf of miglitol were lower after<br />

co-administration with ipragliflozin, suggesting a decrease in absorption<br />

and exposure to miglitol when both drugs are co-administrated,<br />

but the effect was not considered clinically relevant.<br />

<strong>PI</strong>-10<br />

LACK OF PHARMACOKINETIC AND PHARMACODYNAMIC<br />

INTERACTION BETWEEN IPRAGLIFLOZIN, A SELECTIVE<br />

SODIUM GLUCOSE CO-TRANSPORTER 2 (SGLT2) INHIBITOR,<br />

AND GLIME<strong>PI</strong>RIDE IN HEALTHY SUBJECTS. S. A. Veltk<strong>am</strong>p,<br />

J. van Dijk, W. J. Krauwinkel, R. A. Smulders; Astellas Pharma Europe<br />

BV, Leiderdorp, Netherlands. S.A. Veltk<strong>am</strong>p: 1. This research was<br />

sponsored by; Company/Drug; Astellas Pharma Europe BV. 2. I <strong>am</strong><br />

a paid consultant/employee for; Company/Drug; Astellas Pharma<br />

Europe BV. 6. I will be discussing the following product, which is not<br />

labeled for the use under discussion, or the product is still investigational;<br />

Company/Drug; Ipragliflozin. J. van Dijk: 1. This research<br />

was sponsored by; Company/Drug; Astellas Pharma Europe BV.<br />

2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; Astellas<br />

Pharma Europe BV. 6. I will be discussing the following product,<br />

which is not labeled for the use under discussion, or the product is still<br />

investigational; Company/Drug; Ipragliflozin. W.J. Krauwinkel:<br />

1. This research was sponsored by; Company/Drug; Astellas Pharma<br />

Europe BV. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug;<br />

Astellas Pharma Europe BV. 6. I will be discussing the following product,<br />

which is not labeled for the use under discussion, or the product<br />

is still investigational; Company/Drug; Ipragliflozin. R.A. Smulders:<br />

1. This research was sponsored by; Company/Drug; Astellas Pharma<br />

Europe BV. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug;<br />

Astellas Pharma Europe BV. 6. I will be discussing the following product,<br />

which is not labeled for the use under discussion, or the product is<br />

still investigational; Company/Drug; Ipragliflozin.<br />

BACKGROUND: Ipragliflozin (ASP 1941) is a novel SGLT2<br />

inhibitor in development for the treatment of type 2 diabetes mellitus<br />

(T2DM). It inhibits SGLT2-mediated glucose reuptake in the kidneys,<br />

thereby increasing urinary glucose excretion (UGE), leading to a reduction<br />

in plasma glucose levels in T2DM patients. The main objective<br />

was to assess the pharmacokinetic (PK) and pharmacodyn<strong>am</strong>ic (PD)<br />

interactions between ipragliflozin and glimepiride in healthy subjects.<br />

METHODS: This was an open-label, randomized, crossover twoarm<br />

study. Arm A (n = 26) assessed the effects of multiple oral doses of<br />

ipragliflozin (150 mg/day for 7 days) on the PK (AUC inf and C max ) of<br />

a single oral dose of glimepiride (2 mg). Arm B (n = 26) evaluated the<br />

CliniCal pharmaCology & TherapeuTiCs | volume 91 supplemenT 1 | marCh 2012 s11


aBsTraCTs nature publishing group<br />

effects of multiple oral doses of glimepiride (1 mg/day for 5 days) on<br />

the PK and PD of a single dose of ipragliflozin (150 mg). The plasma<br />

PK par<strong>am</strong>eters of ipragliflozin, glimepiride, and its active metabolite<br />

5-hydroxy-glimepiride were determined throughout the study.<br />

RESULTS: The PK par<strong>am</strong>eters of glimepiride obtained in the presence<br />

and absence of ipragliflozin were similar. Geometric mean ratios<br />

(GMRs) [90% CI] for AUC inf (ipragliflozin + glimepiride/glimepiride)<br />

were 1.051 [1.013-1.090] for glimepiride and 0.998 [0.966-1.031]<br />

for 5-hydroxy-glimepiride. GMRs for C max (ipragliflozin + glimepiride/glimepiride)<br />

were 1.1<strong>00</strong> [1.019-1.188] for glimepiride and 1.<strong>00</strong>8<br />

[0.941-1.079] for 5-hydroxy-glimepiride. The PK par<strong>am</strong>eters of<br />

ipragliflozin were comparable between ipragliflozin + glimepiride<br />

versus ipragliflozin alone: GMRs [90% CI] of AUC inf and C max were<br />

0.991 [0.966-1.016] and 0.973 [0.892-1.062], respectively. No difference<br />

was observed in the PD of ipragliflozin after ipragliflozin +<br />

glimepiride versus ipragliflozin alone: GMR [90% CI] of UGE was<br />

0.919 [0.876-0.963].<br />

CONCLUSION: Concomitant administration of ipragliflozin and<br />

glimepiride to healthy subjects did not result in a PK or PD interaction<br />

between these two drugs.<br />

<strong>PI</strong>-11<br />

ETHNIC SENSITIVITY ASSESSMENT DURING DRUG<br />

DEVELOPMENT: PAST, PRESENT AND FUTURE IN A LARGE<br />

PHARMACEUTICAL COMPANY.C. S. Weber, 1 Y. Fukushima, 1<br />

A. Guenther, 1 Q. Jiang, 2 S. Kim, 3 R. Li, 2 Y. Lim, 3 P. Lu, 4 R. Peck, 5<br />

C. Rayner, 6 S. Zhai, 2 J. Zhi 4 ; 1 Fa. Hoffmann-La Roche Ltd, Basel,<br />

Switzerland, 2 Roche R&D Center, Shanghai, China, 3 Roche Korea<br />

Company Ltd, Seoul, Korea, Republic of, 4 Hoffmann-La Roche Inc,<br />

Nutley, NJ, 5 Roche Products Ltd, Welwyn Garden City, United Kingdom,<br />

6 Roche Products Pty. Ltd, Dee Why, Australia. C.S. Weber: 2.<br />

I <strong>am</strong> a paid consultant/employee for; Company/Drug; F. Hoffmann-La<br />

Roche Ltd, Switzerland. Y. Fukushima: 2. I <strong>am</strong> a paid consultant/<br />

employee for; Company/Drug; F. Hoffmann-La Roche Ltd, Switzerland.<br />

A. Guenther: 2. I <strong>am</strong> a paid consultant/employee for; Company/<br />

Drug; F. Hoffmann-La Roche Ltd, Switzerland. Q. Jiang: 2. I <strong>am</strong> a<br />

paid consultant/employee for; Company/Drug; Roche R&D Center<br />

Shanghai. S. Kim: 2. I <strong>am</strong> a paid consultant/employee for; Company/<br />

Drug; Roche Korea Company Ltd, Seoul. R. Li: 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Hoffmann-La Roche Inc, Nutley.<br />

Y. Lim: 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug;<br />

Roche Korea Company Ltd, Seoul. P. Lu: 2. I <strong>am</strong> a paid consultant/<br />

employee for; Company/Drug; Hoffmann-La Roche Inc, Nutley. R.<br />

Peck: 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; Roche<br />

Products Ltd, Welwyn Garden City. C. Rayner: 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Roche Products Pty. Ltd, Dee<br />

Why. S. Zhai: 2. I <strong>am</strong> a paid consultant/employee for; Company/<br />

Drug; Roche R&D Center, Shanghai. J. Zhi: 2. I <strong>am</strong> a paid consultant/<br />

employee for; Company/Drug; F. Hoffmann-La Roche Inc, Nutley.<br />

BACKGROUND: The question on ethnic differences in drug<br />

response has received more attention in recent years, likely because<br />

more clinical trials are performed and included for registration in<br />

emerging markets. We investigated how this has been addressed during<br />

drug development in Roche/Genentech in the past. Having identified<br />

changes over time and lessons learned, the objective was to propose<br />

improved future strategies.<br />

METHODS: US labels of Roche/Genentech marketed drugs<br />

since 1995 and corresponding labels in selected Asian countries were<br />

reviewed for information on ethnic sensitivity. Clinical development<br />

plans of all Roche projects in Phases 1-3 were analyzed for activities<br />

assessing ethnic sensitivity. The more recent activities were evaluated<br />

for their value and impact on later development phases.<br />

RESULTS: >50% of Roche/Genentech drugs registered in the US<br />

don’t contain any label statement in relation to findings on ethnic/racial<br />

differences or similarities. This is true even in cases where a large data<br />

base in Asian subjects exists. For those drugs registered more recently,<br />

ethnicity label statements are found more frequently but are mostly limited<br />

to differences/similarities in PK. Of the drugs in late-phase develop-<br />

ment ≥50% generated some early PK data in Asians and Caucasians that<br />

enabled global studies including US/EU and Asian countries. Exploratory<br />

PK data and, in few cases PD, in Asians and Caucasians are available<br />

for 90% of drugs currently in Phase 2. For most drug candidates in Phase<br />

1 no concrete plans exist for studying ethnic sensitivity until proof of concept<br />

is established. Case studies are presented to exemplify the limitations/risks<br />

of past strategies and their impact on drug development.<br />

CONCLUSION: Today, more and earlier ethnic sensitivity assessments<br />

are being performed. The assessment could be improved in the<br />

future taking into account innovative methods, the growing science in<br />

this field and the clinical trial opportunities in Asia.<br />

<strong>PI</strong>-12<br />

APPLICATIONS OF EXPLORATORY CLINICAL TRIALS<br />

IN DRUG DEVELOPMENT- REVIEW OF EXPLORATORY<br />

TRIAL USER GROUP MEETING, WASHINGTON, JUNE 2011. I.<br />

Shaw, 1 L. Stevens, 1 P. Mudd, 2 M. Young, 2 P. Y. Muller, 3 D. Boulton, 4<br />

D. Spracklin, 5 C. L<strong>am</strong>bert, 6 E. Helmer, 7 M. Rizk 8 ; 1 Quotient Clinical<br />

Ltd, Ruddington, United Kingdom, 2 Glaxo SmithKline, Research<br />

Triangle Park, NC, 3 Novartis Institutes for BioMedical Research,<br />

C<strong>am</strong>bridge, MA, 4 Bristol-Myers Squibb Co, Princeton, NJ, 5 Pfizer,<br />

Groton, CT, 6 Astra Zeneca R&D, Alderley Park, United Kingdom,<br />

7 Takeda Global Research & Development Centre (Europe), London,<br />

United Kingdom, 8 Merck Research Laboratories, West Point, PA.<br />

I. Shaw: None. L. Stevens: None. P. Mudd: None. M. Young:<br />

None. P.Y. Muller: None. D. Boulton: None. D. Spracklin: None.<br />

C. L<strong>am</strong>bert: None. E. Helmer: None. M. Rizk: None.<br />

BACKGROUND: Requirements for exploratory trials are defined<br />

by ICH M3 R2 and clinical data derived from such studies is recognized<br />

by regulatory authorities worldwide. Ex<strong>am</strong>ples in current drug<br />

development were reviewed at a meeting in June 2011.<br />

METHODS: 16 case studies highlighted by the following ex<strong>am</strong>ples<br />

were discussed at the meeting. IV microtracer use was described by a<br />

study to generate absolute bioavailability data. The study with a DPP-4<br />

inhibitor resulted in regulatory approval and the abbreviated approach<br />

to IV formulation development brought the product to the market<br />

quicker than traditional approaches would have enabled. Exploratory<br />

FIH (eFIH) studies were exemplified by a study with a drug targeting<br />

an anti-infl<strong>am</strong>matory receptor. The study established human PK of the<br />

drug prior to phase IIa to justify progression of development. Microdose<br />

utility was demonstrated through a study screening a lead candidate for<br />

DDI liability with and without the presence of a potent CYP3A4 inhibitor.<br />

Increases in AUC at both micro and therapeutic dose were confirmed<br />

supporting progression/termination decisions for back-ups and<br />

informing concomitant medication advice for subsequent studies.<br />

RESULTS: IV tracer applications deliver cost and time savings<br />

over conventional methods for generating IV data. ‘Piggybacking’<br />

tracer doses onto other studies in the development portfolio limits<br />

the impact on progr<strong>am</strong> budgets. eFIH studies at pharmacologic dose<br />

have significant utility, particularly given the ability to add other study<br />

objectives such as food effect, and IV tracer to the design. Microdosing<br />

applications are viewed as a ‘fit for purpose’ rather than as a routine<br />

development strategy.<br />

CONCLUSION: Exploratory trials are challenging conventional<br />

drug development paradigms by generating data earlier to inform key<br />

development decisions with the potential to bring new medicines to<br />

market quicker.<br />

<strong>PI</strong>-13<br />

LACK OF EFFECT OF IPRAGLIFLOZIN, A SELECTIVE<br />

SODIUM GLUCOSE CO-TRANSPORTER 2 (SGLT2) INHIBI-<br />

TOR, ON CARDIAC REPOLARIZATION IN HEALTHY MALE<br />

AND FEMALE SUBJECTS. W. Zhang, 1 R. Smulders, 2 A. Abeyratne, 1<br />

A. Dietz, 3 J. Keirns 1 ; 1 Astellas Pharma Global Development, Inc, Deerfield,<br />

IL, 2 Astellas Pharma Global Development, Leiderdorp, Netherlands,<br />

3 Spaulding Clinical Research, West Bend, WI. W. Zhang: 1. This<br />

research was sponsored by; Company/Drug; Astellas Pharma. 2. I <strong>am</strong><br />

s12 volume 91 supplemenT 1 | marCh 2012 | www.nature.com/cpt


nature publishing group<br />

a paid consultant/employee for; Company/Drug; Astellas Pharma. 6.<br />

I will be discussing the following product, which is not labeled for the<br />

use under discussion, or the product is still investigational; Company/<br />

Drug; Ipragliflozin. R. Smulders: 1. This research was sponsored by;<br />

Company/Drug; Astellas Pharma. 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Astellas Pharma. 6. I will be discussing the following<br />

product, which is not labeled for the use under discussion, or<br />

the product is still investigational; Company/Drug; Ipragliflozin. A.<br />

Abeyratne: 1. This research was sponsored by; Company/Drug; Astellas<br />

Pharma. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug;<br />

Astellas Pharma. A. Dietz: 1. This research was sponsored by; Company/Drug;<br />

Astellas Pharma. 2. I <strong>am</strong> a paid consultant/employee for;<br />

Company/Drug; Astellas Pharma. 6. I will be discussing the following<br />

product, which is not labeled for the use under discussion, or the product<br />

is still investigational; Company/Drug; Ipragliflozin. J. Keirns: 1.<br />

This research was sponsored by; Company/ Drug; Astellas Pharma. 2. I<br />

<strong>am</strong> a paid consultant/employee for; Company/Drug; Astellas Pharma.<br />

BACKGROUND: Ipragliflozin (ASP1941), a novel, potent selective<br />

SGLT2 inhibitor, is under development by Astellas Pharma for the<br />

treatment of type 2 diabetes mellitus. This study assessed the effects of<br />

repeated, oral single-dosing of ipragliflozin (1<strong>00</strong> mg and 6<strong>00</strong> mg) on cardiac<br />

repolarization as measured by QTcF interval in healthy subjects.<br />

METHODS: This was a randomized, double-blind, placebo and<br />

active controlled, four-way crossover study. Eighty-eight subjects were<br />

randomized into one of four sequences, with 22 subjects (10 male and 12<br />

female) in each sequence. Each sequence included: Treatment A, placebo<br />

for 7 days; Treatment B, ipragliflozin 1<strong>00</strong> mg/day for 7 days (therapeutic<br />

dose); Treatment C, ipragliflozin 6<strong>00</strong> mg/day for 7 days (supratherapeutic<br />

dose); and Treatment D, moxifloxacin 4<strong>00</strong> mg on day 7 only. The<br />

washout period was at least 7 days. An analysis of covariance (ANCOVA)<br />

was used to assess the effect of ipragliflozin on QTcF interval with<br />

sequence, period, treatment, and treatment by time as fixed effects; subject<br />

(sequence) as a random effect; and baseline QTcF as a covariate.<br />

RESULTS: The upper bound of the one-sided 95% confidence<br />

interval (CI) for the mean QTcF treatment difference from placebo,<br />

between ipragliflozin 6<strong>00</strong> mg and placebo at each time point, was less<br />

than 10 msec in all subjects and also by sex. The largest upper bounds<br />

of the 95% CIs of mean treatment differences from placebo were 4.44<br />

msec and 2.88 msec for ipragliflozin 6<strong>00</strong> mg and 1<strong>00</strong> mg in all subjects,<br />

respectively. No subjects showed QTcF intervals > 480 msec, nor<br />

time-matched change from baseline > 60 msec. No significant ipragliflozin-related<br />

electrocardiogr<strong>am</strong> changes were noted. Moxifloxacin<br />

demonstrated assay sensitivity for QTcF prolongation with the lower<br />

bound of the one-sided 95% CI > 5 msec.<br />

CONCLUSION: Ipragliflozin did not show clinically meaningful<br />

or statistically significant effects on cardiac repolarization in healthy<br />

subjects at doses up to 6<strong>00</strong> mg/day.<br />

<strong>PI</strong>-14<br />

EFFECT OF HEPATIC IMPAIRMENT ON THE PHARMACOK-<br />

INETICS OF IPRAGLIFLOZIN, A NOVEL SODIUM GLUCOSE<br />

CO-TRANSPORTER 2 (SGLT2) INHIBITOR. W. Zhang, 1 W. Krauwinkel,<br />

2 J. Keirns, 1 R. Townsend, 1 K. C. Lasseter, 3 L. Plumb, 1 R.<br />

Smulders 2 ; 1 Astellas Pharma Global Development, Inc, Deerfield,<br />

IL, 2 Astellas Pharma Europe BV, Leiderdorp, Netherlands, 3 Clinical<br />

Pharmacology of Mi<strong>am</strong>i, Inc., Mi<strong>am</strong>i, FL. W. Zhang: 1. This<br />

research was sponsored by; Company/Drug; Astellas Pharma.<br />

2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; Astellas<br />

Pharma. 6. I will be discussing the following product, which is not<br />

labeled for the use under discussion, or the product is still investigational;<br />

Company/Drug; Ipragliflozin. W. Krauwinkel: 1. This<br />

research was sponsored by; Company/ Drug; Astellas Pharma.<br />

2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; Astellas<br />

Pharma. J. Keirns: 1. This research was sponsored by; Company/<br />

Drug; Astellas Pharma. 2. I <strong>am</strong> a paid consultant/employee for;<br />

Company/Drug; Astellas Pharma. R. Townsend: 1. This research<br />

was sponsored by; Company/Drug; Astellas Pharma. 2. I <strong>am</strong> a paid<br />

aBsTraCTs<br />

consultant/employee for; Company/Drug; Astellas Pharma. K.C.<br />

Lasseter: 1. This research was sponsored by; Company/Drug;<br />

Astellas Pharma. 2. I <strong>am</strong> a paid consultant/employee for; Company/<br />

Drug; Astellas Pharma. L. Plumb: 1. This research was sponsored<br />

by; Company/Drug; Astellas Pharma. 2. I <strong>am</strong> a paid consultant/<br />

employee for; Company/Drug; Astellas Pharma. R. Smulders:<br />

1. This research was sponsored by; Company/ Drug; Astellas<br />

Pharma. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug;<br />

Astellas Pharma. 6. I will be discussing the following product,<br />

which is not labeled for the use under discussion, or the product is<br />

still investigational; Company/Drug; Ipragliflozin.<br />

BACKGROUND: Ipragliflozin (ASP1941), a novel potent selective<br />

SGLT2 inhibitor, is undergoing development by Astellas Pharma for<br />

the treatment of type 2 diabetes mellitus. It is mainly metabolized by<br />

the liver primarily via glucuronidation. This study evaluated the effect<br />

of moderate hepatic impairment (HI) on the pharmacokinetics (PK) of<br />

ipragliflozin and its metabolites (M1, M2, M3, M4 and M6).<br />

METHODS: This was an open-label, single dose study. Sixteen<br />

subjects were enrolled (n = 8 healthy subjects and n = 8 with moderate<br />

HI [Child-Pugh score 7-9]; groups were gender, age and body<br />

weight matched) and received a single oral dose of ipragliflozin 1<strong>00</strong><br />

mg. Serial blood s<strong>am</strong>ples were collected for up to 144 h to determine<br />

plasma concentrations of ipragliflozin and its metabolites. Adverse<br />

events (AEs) were monitored during the study.<br />

RESULTS: All subjects completed the study. Mean C max and<br />

AUC inf values of ipragliflozin were 27% and 25% higher, respectively,<br />

in those with moderate HI versus healthy subjects (Table). No changes<br />

in half-life and protein binding of ipragliflozin were observed in moderate<br />

HI subjects. Mean C max and AUC inf values of M2, the major<br />

metabolite, were similar in both populations. AEs were mild in severity<br />

and their incidence similar in both populations.<br />

CONCLUSION: Moderate HI had no clinically meaningful effects<br />

on the single-dose PK of ipragliflozin and its major metabolite M2.<br />

A single oral dose of ipragliflozin 1<strong>00</strong> mg was well tolerated both in<br />

healthy subjects and those with moderate HI.<br />

Ipragliflozi<br />

n<br />

AUC inf = area under the plasma concentration-time curve from time<br />

of dosing to infinity; C max = maximum plasma concentration; CI =<br />

confidence interval.<br />

CliniCal pharmaCology & TherapeuTiCs | volume 91 supplemenT 1 | marCh 2012 s13<br />

Analyte<br />

M1<br />

M2<br />

M3<br />

M4<br />

M6<br />

Table: Summary of statistical comparisons for ipragliflozin and its metabolites.<br />

Par<strong>am</strong>eters<br />

(unit)<br />

AUCinf<br />

(ng.h/mL)<br />

Cmax (ng/mL)<br />

AUCinf<br />

(ng.h/mL)<br />

Cmax (ng/mL)<br />

AUCinf (ng.h/mL)<br />

Cmax (ng/mL)<br />

AUCinf (ng.h/mL)<br />

Cmax (ng/mL)<br />

AUCinf (ng.h/mL)<br />

Cmax (ng/mL)<br />

AUCinf (ng.h/mL)<br />

Cmax (ng/mL)<br />

Least squares geometric<br />

means<br />

Healthy<br />

subjects<br />

8950.95<br />

1334.69<br />

616.11<br />

77.95<br />

6186.58<br />

904.48<br />

1453.66<br />

149.01<br />

1361.70<br />

180.36<br />

781.90<br />

53.91<br />

Moderate HI<br />

subjects<br />

11,178.27<br />

1691.91<br />

455.73<br />

45.36<br />

6177.15<br />

858.63<br />

1812.78<br />

165.60<br />

2584.40<br />

312.95<br />

1251.11<br />

75.38<br />

Ratio<br />

124.8<br />

8<br />

126.7<br />

6<br />

73.97<br />

58.19<br />

99.85<br />

94.93<br />

124.7<br />

0<br />

111.1<br />

3<br />

189.7<br />

9<br />

90% CI for<br />

ratio<br />

93.84<strong>–</strong>166.19<br />

92.79<strong>–</strong>173.17<br />

35.23<strong>–</strong>155.30<br />

25.50<strong>–</strong>132.81<br />

76.82<strong>–</strong>129.78<br />

67.53<strong>–</strong>133.44<br />

92.80<strong>–</strong>167.58<br />

77.83<strong>–</strong>158.67<br />

122.72<strong>–</strong>293.53<br />

173.5<br />

114.77<strong>–</strong>262.33<br />

2<br />

160.0<br />

1<br />

139.8<br />

4<br />

101.14<strong>–</strong>253.14<br />

87.97<strong>–</strong>222.28


aBsTraCTs nature publishing group<br />

<strong>PI</strong>-15<br />

FOLIC ACID AND COLORECTAL ADENOMA RECURRENCE:<br />

A SYSTEMATIC REVIEW OF RANDOMIZED CONTROL TRI-<br />

ALS. D. A. Kennedy, S. J. Stern, I. Matok, M. Moretti, M. Sarkar,<br />

T. Ad<strong>am</strong>s-Webber, G. Koren; The Hospital for Sick Children, Toronto,<br />

ON, Canada. D.A. Kennedy: None. S.J. Stern: None. I. Matok:<br />

None. M. Moretti: None. M. Sarkar: None. T. Ad<strong>am</strong>s-Webber:<br />

None. G. Koren: None.<br />

BACKGROUND: The theory of ‘‘dual effect of folate’’ in cancer<br />

postulates that in healthy persons folate supplementation decreases<br />

the rates of cancer, while heightened folate exposure may increase the<br />

rate of malignant transformation of precancerous cells. Our aim was to<br />

ex<strong>am</strong>ine the risk of colorectal adenoma recurrence under a high intake<br />

of folic acid in the context of folic acid supplementation.<br />

METHODS: MEDLINE, Embase, and SCOPUS were searched<br />

from inception to April, 2011: using the following ‘‘folic acid,’’ ‘‘folate,”<br />

‘‘colorectal adenomas,’’ ‘‘recurrence.’’ Randomized control studies<br />

reporting on colorectal adenoma recurrence and folic acid supplementation<br />

of at least 1 mg/day were selected. Studies were excluded if supplementation<br />

was combined with other vit<strong>am</strong>ins or pharmaceutical drugs.<br />

RESULTS: Out of the 4013 records retrieved, 4 articles met the<br />

inclusion criteria. Three of the studies were conducted in the United<br />

States either during, or overlapping with, mandatory folate fortification.<br />

Three of the studies supplemented with 1 mg/day for up to 6 years.<br />

The remaining study used 5 mg/day for three years. The reported risk<br />

ratio of colorectal adenoma recurrence with 1 mg/day after one year<br />

was 0.60 (CI 95% 0.27-1.33), after 3 years, 1.20 (CI 95% 0.95-1.51)<br />

and 0.82 (CI 95% 0.59-1.13). A risk ratio was not reported after 5 mg/<br />

day for 3 years, rather the risk was described as “twice as high in the<br />

placebo group versus the folic acid group.”<br />

CONCLUSION: Supplementation of folic acid at either 1 mg/day<br />

or 5 mg/day for a period of three years in an environment of mandatory<br />

folate fortification did not increase nor decrease the risk of colorectal<br />

adenoma recurrence in those individuals with a previous history of<br />

colorectal adenomas. Pregnant women, at higher risk for neural tube<br />

defects or other folate-dependent malformations, who may need a high<br />

daily dose of folate (up to 5 mg/day) can use these doses safely for the<br />

short period of first trimester of pregnancy.<br />

<strong>PI</strong>-16<br />

HIGH RISK PRESCRIBING AND INCIDENCE OF FRAILTY<br />

AMONG OLDER COMMUNITY-DWELLING MEN. D. Gnjidic, 1 S.<br />

N. Hilmer, 1 D. G. Le Couteur, 2 D. R. Abernethy 3 ; 1 Royal North Shore<br />

Hospital and University of Sydney, Sydney, Australia, 2 Centre for Education<br />

and Research on Ageing (CERA) and University of Sydney,<br />

Sydney, Australia, 3 Food and Drug Administration, Silver Spring, MD.<br />

D. Gnjidic: None. S.N. Hilmer: 4. I hold a patent for; Company/<br />

Drug; Drug Burden Index. D.G. Le Couteur: None. D.R. Abernethy:<br />

4. I hold a patent for; Company/Drug; Drug Burden Index.<br />

BACKGROUND: Evidence on the association between treatment<br />

with high risk medicines and frailty in older adults is limited. We aimed<br />

to investigate the relationship between high risk prescribing and frailty<br />

at baseline, and 2-year incident frailty in older adults.<br />

METHODS: A total of 1662 community-dwelling males, aged ≥70<br />

years enrolled in the Concord Health and Ageing in Men Project were<br />

studied. Measurements were obtained at baseline (2<strong>00</strong>5-2<strong>00</strong>7) and<br />

2-year follow-up (2<strong>00</strong>7-2<strong>00</strong>9). High risk prescribing was defined as<br />

polypharmacy (use of ≥ 5 medicines), hyperpolypharmacy (use of ≥ 10<br />

medicines) and by the Drug Burden Index (DBI), a dose-normalized<br />

measure of anticholinergic and sedative medicines. Frailty was defined<br />

according to validated criteria. Odds ratios of frailty were modeled<br />

using logistic regression, and adjusted for age, education, marital status<br />

and multiple comorbidities.<br />

RESULTS: There were 9.4% participants who were identified as<br />

frail at baseline. At baseline, frail participants had adjusted odds ratios<br />

(ORs) of 2.55 (95% confidence interval, CI: 1.69-3.84) for polypharmacy,<br />

5.80 (95% CI: 2.90-11.61) for hyperpolypharmacy and<br />

2.33 (95%CI: 1.58-3.45) for DBI exposure, compared with non-frail.<br />

Among the 1242 men who were non-frail at baseline, 6.2% developed<br />

frailty over two years. Adjusted ORs of incident frailty were 2.45<br />

(95%CI: 1.42-4.23) for polypharmacy, 2.50 (95%CI: 0.76-8.26) for<br />

hyperpolypharmacy, and 2.14 (95%CI: 1.25-3.64) for DBI exposure.<br />

CONCLUSION: Older frail men were significantly more likely to<br />

be exposed to high risk prescribing than non-frail older men at baseline,<br />

and exposure to high risk medicines was significantly related to<br />

the development of frailty over two years.<br />

<strong>PI</strong>-17<br />

POLYPHARMACY AND ADVERSE OUTCOMES: DETER-<br />

MINING THE BEST CUT-OFF FOR POLYPHARMACY<br />

ASSOCIATED WITH GERIATRIC SYNDROMES, FUNC-<br />

TIONAL OUTCOMES AND MORTALITY IN OLDER ADULTS.<br />

D. Gnjidic, 1 D. G. Le Couteur, 2 S. N. Hilmer 1 ; 1 Royal North Shore<br />

Hospital and University of Sydney, Sydney, Australia, 2 Centre<br />

for Education and Research on Ageing (CERA) and University of<br />

Sydney, Sydney, Australia. D. Gnjidic: None. D.G. Le Couteur:<br />

None. S.N. Hilmer: None.<br />

BACKGROUND: There is lack of agreement about the best cut-off<br />

value for the number of concomitant medications that should be used<br />

to define polypharmacy. We aimed to determine an optimal discriminating<br />

number of concomitant medications for the associations with<br />

adverse outcomes in older adults.<br />

METHODS: Males aged ≥ 70 years (n=1705), participating in<br />

the Concord Health and Ageing in Men Project were studied. Measurements<br />

were obtained at baseline (2<strong>00</strong>5-2<strong>00</strong>7) and follow-up<br />

assessments. Frailty was ascertained according to the validated criteria.<br />

Disability was assessed using the Activities of Daily Living<br />

scale. Participants were categorized as cognitively impaired (mildcognitive-impairment<br />

or dementia) using clinical diagnostic criteria.<br />

Prospective data on mortality and incident falls were collected<br />

by 4-monthly telephone calls. Receiver operating characteristics<br />

curve analysis using the Youden Index and the area under curve was<br />

performed to determine discriminating number of medications in<br />

relation to each outcome. Odds ratios were calculated for the association<br />

of the number of concomitant medications with each of the<br />

outcomes.<br />

RESULTS: The highest value of the Youden Index for frailty was<br />

obtained for a cut-off point of 6.5 medications, compared to a cut-off<br />

of 5.5 for disability and 3.5 for cognitive impairment. For mortality<br />

and falls, the highest value of Youden Index was obtained for a cut-off<br />

of 4.5 medications. For every one increase in number of medications,<br />

the adjusted odds ratios for age and multiple comorbidities, were 1.13<br />

(95% confidence interval (CI): 1.06-1.21) for frailty, 1.08 (95%CI:<br />

1.<strong>00</strong>-1.15) for disability, 1.02 (95%CI: 0.96-1.09) for cognitive impairment,<br />

1.09 (95%CI: 1.04-1.15) for mortality and 1.07 (95%CI: 1.03-<br />

1.12) for falls.<br />

CONCLUSION: This study justifies the widespread definition of<br />

polypharmacy, which is linked to adverse outcomes, as five or more<br />

medications.<br />

<strong>PI</strong>-18<br />

A REVIEW OF FOOD AND DRUG ADMINISTRATION (FDA)<br />

LABELING FOR OVERDOSE TREATMENT AND TOXICITY<br />

DATA. M. E. Mazer, 1 G. Sokol, 2 L. Cantilena 2 ; 1 George Washington<br />

University, Washington, DC, 2 Uniformed Services University of the<br />

Health Sciences, Division of Clinical Pharmacology, Bethesda, MD.<br />

M.E. Mazer: None. G. Sokol: None. L. Cantilena: None.<br />

BACKGROUND: Adverse drug reactions, including overdose, are<br />

a major cause of morbidity and mortality. The goal of the FDA is to<br />

ensure approved pharmaceuticals are safe and effective yet clinical<br />

toxicology data is often limited at the time of approval. There may also<br />

be a lag time until toxicology data is available and incorporated into<br />

labeling revisions. In order to determine the type and quality of clini-<br />

s14 volume 91 supplemenT 1 | marCh 2012 | www.nature.com/cpt


nature publishing group<br />

cal toxicology data available for newly approved pharmaceuticals and<br />

time to labeling revisions, we reviewed the labeling data of 1<strong>00</strong> new<br />

molecular entities (NMEs).<br />

METHODS: Labeling information from the FDA database (www.<br />

fda.gov) for 1<strong>00</strong> NMEs was ex<strong>am</strong>ined, from December 2<strong>00</strong>5 to July<br />

2011. Initial approval data and subsequent labeling revisions were<br />

reviewed. Data extracted included clinical toxicology data at initial<br />

approval, labeling revisions with updated toxicology data, time to<br />

update, and type of data added. Risk Evaluation and Mitigation Strategies<br />

(REMS) labeling and black box warnings were noted.<br />

RESULTS: Of the 1<strong>00</strong> NMEs reviewed, 27 had agent-specific<br />

toxicology data in the labeling at the time of approval. General recommendations<br />

for overdose management were made in 45 cases. Eight<br />

pharmaceuticals reviewed had toxicology updates during the study<br />

period. The average time to labeling revision was 27.4 months (range<br />

12-52, median 32). Expanded adverse effects from case reports comprised<br />

7/8 of the updates and animal data was added in 1 case. There<br />

were 12 agents approved with REMS status and 29 with black box<br />

warnings.<br />

CONCLUSION: Our study suggests there is a paucity of clinical<br />

toxicology data at the time of drug approval. Over a third of the NMEs<br />

had a black box warning or REMS status, suggesting potential for<br />

significant human toxicity. A notable lag time between initial approval<br />

and labeling revisions was seen. This essential lack of toxicology data<br />

limits the ability of providers to optimally care for poisoned patients<br />

and warrants further investigation.<br />

<strong>PI</strong>-19<br />

AN IN VIVO HUMAN TIME-EXPOSURE INVESTIGATION OF<br />

A COMMERCIAL SILVER NANO-PARTICLE SOLUTION. M. A.<br />

Munger, P. Radwanski, G. J. Stoddard, A. Shaaban, D. Grainger, G.<br />

Yost; Univ of Utah, SLC, UT. M.A. Munger: None. P. Radwanski:<br />

None. G.J. Stoddard: None. A. Shaaban: None. D. Grainger: None.<br />

G. Yost: None.<br />

BACKGROUND: The biodistribution, bioprocessing and possible<br />

toxicity of silver nanoparticles is receiving increasing attention in<br />

human health through greater exposures.<br />

METHODS: To understand whether these concerns are justified,<br />

we prospectively studied 3-, 7-, and 14-day exposures to an American<br />

Biotech Laboratory 10-ppm (15 ml/day) silver solution in a doubleblind,<br />

controlled, cross-over phase design. Healthy volunteer subjects<br />

(36, 12 each time-exposure), underwent complete metabolic, blood<br />

and platelet count, urinalysis tests, sputum hyperresponsiveness and<br />

infl<strong>am</strong>mation evaluation, physical ex<strong>am</strong>inations, vital sign measurements,<br />

and magnetic resonance imaging of the chest and abdomen at<br />

baseline and end of each phase. Diet was not controlled. Silver serum<br />

and urine quantization was determined by inductively coupled plasma<br />

mass spectrometry (NMS Labs). Significance in individual laboratory<br />

values was determined by any value being 2 x ULN or 4 SD from<br />

the mean and by clinical judgment. Mixed effects linear and logistic<br />

regression models compared the mean effect to the normal reference<br />

range control limits. MRI morphology changes were qualitatively<br />

described.<br />

RESULTS: No clinically important changes in any metabolic,<br />

hematologic, or urinalysis measure identified were determined. No<br />

morphological (or structural) changes were detected in the lungs, heart<br />

(cardiac function) or abdominal organs. No changes were noted in sputum<br />

reactive oxygen species or in pro-infl<strong>am</strong>matory cytokines.<br />

CONCLUSION: In-vivo oral exposure of a commercial 10-ppm<br />

silver nano-particle solution over 3-, 7-, and 14-day exposures does<br />

not exhibit clinically important changes in metabolic, hematologic,<br />

urine, vital sign changes, physical findings or imaging changes visualized<br />

by MRI. Further study of increasing time-exposure, dose, and<br />

additional organ systems, including cytochrome P-450 enzymes, is<br />

warranted.<br />

aBsTraCTs<br />

<strong>PI</strong>-20<br />

CA<strong>PI</strong>LLARY ELECTROPHORESIS-LASER INDUCED FLU-<br />

ORESCENCE (CE-LIF) ASSAY FOR MEASUREMENT OF<br />

INTRA-CELLULAR D-SERINE AND SERINE RACEMASE<br />

ACTIVITY. N. S. Singh, R. K. Paul, M. Sichler, R. Moaddel,<br />

M. Bernier, I. W. Wainer, A. R<strong>am</strong><strong>am</strong>oorthy; National Institute<br />

on Aging/NIH, Baltimore, MD. N.S. Singh: None. R.K. Paul:<br />

None. M. Sichler: None. R. Moaddel: None. M. Bernier: None.<br />

I.W. Wainer: None. A. R<strong>am</strong><strong>am</strong>oorthy: None.<br />

BACKGROUND: D-Serine (D-Ser) is an NMDAR co-agonist generated<br />

by serine racemase (SR). Changes in endogenous D-Ser levels<br />

have been associated with CNS disorders; decreased levels with schizophrenia<br />

and increased levels linked to Alzheimer’s disease. These<br />

observations led to therapeutic approaches which either augment<br />

D-Ser levels by or decrease SR activity.<br />

METHODS: An enantioselective capillary electrophoresis-laser<br />

induced fluorescence (CE-LIF) method for quantification of intracellular<br />

D-Ser levels was developed for the determination of changes<br />

in SR activity. The assay involves derivatization with FITC followed<br />

by CE-LIF using hydroxyl propyl-β-cyclodextrin as the chiral selector.<br />

The method was applied to the determination of intra-cellular<br />

D-Ser concentrations in PC-12, C6, 1312N1 and HepG2 cell lines and<br />

concentration-dependent changes in D-Ser produced by L-Ser and<br />

gycine, a SR competitive inhibitor. Western blot analysis was used to<br />

determine SR expression.<br />

RESULTS: The CE-LIF method resolved D-Ser and L-Ser with<br />

an enantioselectivity of 1.05 and Resolution of 1.65. EC50 values for<br />

L-Ser ranged from 5.41 ± 0.76 mM (PC-12) to 9.37 ± 0.17 mM (C6)<br />

and IC50 values for the Gly ranged from 0.68 ± 0.15 mM (C6) to 1.83<br />

± 0.07 mM (HepG2). Western blot analysis determined that the PC-12<br />

and C6 cell lines expressed monomeric and dimeric forms of SR while<br />

the 1321N1 and HepG2 cells contained only the monomeric form.<br />

Although the SR dimer has been identified as the active form of the<br />

enzyme, all four cell lines were enzymatically active.<br />

CONCLUSION: The data from this study indicate that the CE-LIF<br />

assay developed in this project can be used to assess changes in intracellular<br />

D-Ser concentrations. However, the results also demonstrate<br />

that this technique should be combined with Western blot analysis to<br />

obtain an accurate picture of the effect on SR activity.<br />

<strong>PI</strong>-21<br />

KETAMINE AND METABOLITES SUBTYPE SELECTIVITY IN<br />

THE NICOTINIC RECEPTOR FAMILY. R. Moaddel, 1 A. Rosenberg, 1<br />

G. Abdrakhmanova, 2 K. Jozwiak, 3 A. R<strong>am</strong><strong>am</strong>oorthy, 1 I. W. Wainer 1 ;<br />

1 NIA/NIH, Baltimore, MD, 2 Virginia Commonwealth University, Richmond,<br />

VA, 3 Medical University of Lublin, Lublin, Poland. R. Moaddel:<br />

None. A. Rosenberg: None. G. Abdrakhmanova: None. K. Jozwiak:<br />

None. A. R<strong>am</strong><strong>am</strong>oorthy: None. I.W. Wainer: None.<br />

BACKGROUND: Ket<strong>am</strong>ine (K), effective in both depression and<br />

chronic pain, is administered as a racemic mixture and is extensively<br />

metabolized to norket<strong>am</strong>ine (NK), dehydronorket<strong>am</strong>ine (DHNK),<br />

hydroxynorket<strong>am</strong>ines (HNK) and hydroxyket<strong>am</strong>ines (HK). While the<br />

pharmacological activities of K and NK have been characterized, little<br />

is known about the activities of the other metabolites. We have investigated<br />

the activity of DHNK, HNK and HK at the α 7 and α 3 β 4 nicotinic<br />

receptors (NR).<br />

METHODS: Patch-cl<strong>am</strong>p techniques were used to ex<strong>am</strong>ine<br />

functional activity of K metabolites at 1<strong>00</strong> nM on α 7 and α 3 β 4 . The<br />

functional activity of these compounds at the α 3 β 4 NR was investigated<br />

using nicotine-stimulated 86 Rb + efflux assays in HEK293 cells<br />

expressing the α 3 β 4 NR.<br />

RESULTS: In the α 7 NR, DHNK was the most potent producing a<br />

60% inhibition, followed by NK. The metabolites did not exhibit agonist<br />

activity by patch cl<strong>am</strong>p for either subtype. The data from the nicotine-stimulated<br />

86 Rb + efflux studies demonstrated that K metabolites<br />

partially stimulated the α 3 β 4 NR at sub-μM concentrations and that this<br />

CliniCal pharmaCology & TherapeuTiCs | volume 91 supplemenT 1 | marCh 2012 s15


aBsTraCTs nature publishing group<br />

effect was lost at a concentration of 1 μM, with only K demonstrating the<br />

significant inhibition of efflux, which was confirmed by patch-cl<strong>am</strong>p.<br />

CONCLUSION: The data demonstrate that the K metabolites<br />

partially (40% relative to nicotine) stimulated the α3β4 NR at 1<strong>00</strong> nM<br />

concentrations and this effect was lost at higher concentrations. The<br />

observed stimulation was inhibited by the NR antagonist mec<strong>am</strong>yl<strong>am</strong>ine<br />

indicating that this was mediated by NR. In addition, the inhibition of<br />

Rb efflux was only seen for K, with weak inhibition by NK, HK1 and<br />

HNK. While for the α7 NR, weak inhibition was observed for all metabolites<br />

except DHNK, which had a pronounced effect, suggesting subtype<br />

selectivity for K and DHNK for NR. The variability observed in treatment<br />

response in depressed patients and chronic pain patients may be<br />

due to individual differences in the metabolism of K.<br />

<strong>PI</strong>-22<br />

HYPERTENSION SUSCEPTIBILITY LOCI ASSOCIATED<br />

WITH BLOOD PRESSURE RESPONSE TO ANTIHYPERTEN-<br />

SIVES- RESULTS FROM THE PHARMACOGENOMIC EVALU-<br />

ATION OF ANTIHYPERTENSIVE RESPONSES (PEAR) STUDY.<br />

Y. Gong, 1 C. W. McDonough, 1 Z. Wang, 2 R. M. Cooper-DeHoff, 1<br />

T. Y. Langaee, 1 A. L. Beitelshee, 3 S. T. Turner, 4 A. B. Chapman, 5<br />

J. G. Gums, 1 K. R. Bailey, 4 E. Boerwinkle, 2 J. A. Johnson 1 ; 1 University<br />

of Florida, Gainesville, FL, 2 University of Texas, Houston, TX,<br />

3 University of Maryland, Baltimore, MD, 4 Mayo Clinic, Rochester,<br />

MN, 5 Emory University, Atlanta, GA. Y. Gong: 1. This research<br />

was sponsored by; Company/Drug; NIH grant U01 GM074492.<br />

C.W. McDonough: None. Z. Wang: None. R.M. Cooper-DeHoff:<br />

1. This research was sponsored by; Company/Drug; NIH grant U01<br />

GM074492, HL084090. T.Y. Langaee: 1. This research was sponsored<br />

by; Company/Drug; NIH grant U01 GM074492. A.L. Beitelshee:<br />

1. This research was sponsored by; Company/Drug; NIH grant<br />

U01 GM074492. S.T. Turner: 1. This research was sponsored by;<br />

Company/Drug; NIH grant U01 GM074492. A.B. Chapman: 1.<br />

This research was sponsored by; Company/Drug; NIH grant U01<br />

GM074492. J.G. Gums: 1. This research was sponsored by; Company/Drug;<br />

NIH grant U01 GM074492. K.R. Bailey: 1. This research<br />

was sponsored by; Company/Drug; NIH grant U01 GM074492. E.<br />

Boerwinkle: 1. This research was sponsored by; Company/Drug; NIH<br />

grant U01 GM074492. J.A. Johnson: 1. This research was sponsored<br />

by; Company/Drug; NIH grant U01 GM074492. 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Medco.<br />

BACKGROUND: To date, 39 SNPs are associated with blood pressure<br />

(BP) in genome-wide association studies (GWAS) in whites. We<br />

assessed the association of these loci with BP response to atenolol<br />

(ATEN) and hydrochlorothiazide (HCTZ), with particular interest in<br />

loci with opposite associations for the two drugs, given their contrasting<br />

pharmacological mechanisms.<br />

METHODS: PEAR evaluated BP response in 768 hypertensive<br />

patients randomized to either ATEN or HCTZ monotherapy then the<br />

combination. Genotypes of 37 loci were obtained from Illumina 50K<br />

cardiovascular or Omni1M GWAS chips. Associations with systolic<br />

(SBP) and diastolic BP (DBP) responses to ATEN or HCTZ mono-<br />

or add-on therapy was evaluated in 464 white individuals using linear<br />

regression adjusting for baseline BP, age, gender and principal components<br />

for ancestry.<br />

RESULTS: Eight SNPs reached nominal significance (p


nature publishing group<br />

<strong>PI</strong>-24<br />

HEME OXYGENASE-1 (HO-1) IS A POSSIBLE MEDIATOR OF<br />

CYTOPROTECTIVE EFFECTS BY N-ACETYLCYSTEINE (NAC)<br />

IN CHILDHOOD CEREBRAL ADRENOLEUKODYSTROPHY<br />

(CCALD) PATIENTS. J. Zhou*, R. V. Kartha*, L. Basso, P. J. Orchard,<br />

H. Schroder, J. C. Cloyd; University of Minnesota, Minneapolis, MN.<br />

J. Zhou*: None. R.V. Kartha*: None. L. Basso: None. P.J. Orchard:<br />

None. H. Schroder: None. J.C. Cloyd: None.<br />

BACKGROUND: N-acetylcysteine (NAC), an antioxidant indicated<br />

for treating acet<strong>am</strong>inophen overdose, is used as adjunctive<br />

therapy along with hematopoietic cell transplantation (HCT) in latestage<br />

CCALD, an inherited demyelinating disorder. Use of NAC with<br />

HCT enhances survival, but the underlying mechanism is unknown.<br />

Hemeoxygenase-1 (HO-1) and ferritin are known to mediate cytoprotective<br />

and antioxidant effects of various drugs. This study investigates<br />

whether HO-1 and ferritin are potential mediators of NAC in CCALD<br />

patients and oligodendrocytes. These findings may help optimize therapy<br />

in both early and late-stage CCALD.<br />

METHODS: Subjects in this study were CCALD patients scheduled<br />

to undergo HCT. NAC was given as IV at 70mg/kg every 6hr<br />

for 4 days following admission but prior to pre-HCT chemotherapy.<br />

Plasma was obtained from 5 patients and expression of HO-1 (Assay<br />

Designs) and ferritin (Abnova) determined by ELISA. In vitro assays<br />

were performed in myelin forming murine oligodendrocytes (158N).<br />

Oxidative stress was induced by incubating cells with 5<strong>00</strong>μM H2O2<br />

for 24hr. NAC was used at 50-5<strong>00</strong>μM concentration. Reactive Oxygen<br />

Species (ROS) formation and cell viability were determined by flow<br />

cytometry and colorimetric assays, respectively.<br />

RESULTS: Following NAC therapy, plasma HO-1 and ferritin were<br />

significantly induced (p


aBsTraCTs nature publishing group<br />

<strong>PI</strong>-27<br />

PROGRESSIVE DECLINE IN IN VIVO CYP3A4-ACTIVITY<br />

EXPLAINS TIME-RELATED INCREASE IN DOSE CORRECTED<br />

TACROLIMUS EXPOSURE AFTER RENAL TRANSPLANTA-<br />

TION. H. de Jonge, 1 H. de Loor, 1 K. Verbeke, 2 Y. Vanrenterghem, 1<br />

D. R. Kuypers1 ; 1Department of Nephrology and Renal Transplantation,<br />

University Hospitals Leuven, Leuven, Belgium, 2Department of Gastrointestinal Research, Catholic University Leuven, Leuven,<br />

Belgium. H. de Jonge: None. H. de Loor: None. K. Verbeke: None.<br />

Y. Vanrenterghem: None. D.R. Kuypers: None.<br />

BACKGROUND: Tacrolimus (Tac) is metabolized by CYP3A4<br />

and 3A5. Its long-term disposition following transplantation (Tx) is<br />

characterized by a gradual increase in dose corrected exposure. The<br />

latter has been attributed to declining CYP3A4 activity, but this has<br />

never been demonstrated in an in vivo setting.<br />

METHODS: One year longitudinal follow-up study in 65 Tac<br />

treated renal recipients tested 7 days and 1, 3, 6 and 12 months<br />

after Tx. At all time-points in vivo CYP3A4 activity (using PO and<br />

IV midazol<strong>am</strong> (MDZ) as drug probe) and Tac PK (using dose-interval<br />

AUC) were assessed. Data were analyzed using linear mixed models.<br />

RESULTS: In the first year after kidney Tx apparent oral MDZ<br />

clearance (MDZ Cl/F, Fig), systemic MDZ clearance and Tac dose<br />

requirements progressively decreased, while dose corrected Tac AUC0- 12 gradually increased (Fig) (p


nature publishing group<br />

BACKGROUND: CYP450-mediated drug metabolism in extrahepatic<br />

tissues may contribute to the local disposition of drugs. CYP2E1<br />

metabolism in cardiac tissue may be clinically relevant as it is one of<br />

the most abundant isoenzymes (mRNA) found in the human heart. We<br />

therefore characterized CYP2E1 activity in human heart microsomes<br />

using the probe drug chlorzoxazone (CZX).<br />

METHODS: CZX was incubated with freshly isolated human heart<br />

microsomes (left ventricle) and with recombinant CYP2E1 (Supersome;<br />

BD Gentest). The incubation contained 1<strong>00</strong> mM phosphate<br />

buffer, NADPH regenerating system (glucose-6-phosphate, NADP<br />

and glucose-6-phosphate dehydrogenase), CZX (0 to 1,5<strong>00</strong> μM) and<br />

microsomes. Reaction was stopped with ice-cold acidified MeOH<br />

(1<strong>00</strong> mM HCl) with the internal standard. Liquid-liquid extraction<br />

was performed with MTBE. The organic phase was evaporated to dryness<br />

under a stre<strong>am</strong> of nitrogen, resolubilized in 1<strong>00</strong> mM HCl MeOH.<br />

HPLC-UV was used to quantify the formation of 6-hydroxychlorzoxazone<br />

(6-OHCZX). mRNA relative expression of CYP1A1 and 2E1<br />

was quantified by real-time PCR.<br />

RESULTS: Michaelis-Menten kinetics was used to determine the<br />

intrinsic clearance (Clint), Vmax and Km par<strong>am</strong>eters in both systems.<br />

Clint was 0,<strong>00</strong>13 mL/min (Km = 211 μM, Vmax = 7,680 pmol/mg<br />

of protein/min) in the rCYP2E1. On the other hand, Clint was 9,2 x<br />

10 -06 mL/min (Km = 6,083 μM, Vmax = 1192 pmol/mg of protein/<br />

min) in human heart microsomes. Other CYP450s involved in the<br />

CZX metabolism could explain the lower intrinsic clearance observed<br />

in the human heart microsomes. Accordingly, we have observed that<br />

rCYP1A1 can also metabolize CZX (reaction rate is ≈60% of that<br />

measured for CYP2E1). Since CYP1A1 mRNA is 10 times more<br />

expressed than CYP2E1 in this heart the contribution of CYP1A1 must<br />

be considered for the kinetics of CZX.<br />

CONCLUSION: In a human heart expressing CYP2E1, metabolic<br />

activity was observed. This is the first characterization of human heart<br />

CYP450 2E1-mediated metabolism.<br />

<strong>PI</strong>-31<br />

CYP450 FUNCTIONAL ACTIVITIES IN HUMAN HEART<br />

MICROSOMES. J. Huguet, 1 V. Michaud, 2 F. Gaudette, 3 J. Turgeon<br />

4 ; 1 University of Montreal - CRCHUIM, Montreal, QC, Canada,<br />

2 University of Indianapolis, Indianapolis, IN, 3 CRCHUM, Montreal,<br />

QC, Canada, 4 University of Montreal - CRCHUM, Montreal, QC,<br />

Canada. J. Huguet: None. V. Michaud: None. F. Gaudette: None.<br />

J. Turgeon: None.<br />

BACKGROUND: Extrahepatic CYP450s may contribute significantly<br />

to the local metabolism of drugs. For the first time, we have<br />

used a cocktail of probe drugs to characterize CYP2J2, CYP2C9 and<br />

CYP2B6 functional activities in human heart microsomes (HHM).<br />

METHODS: Ebastine (CYP2J2; 0 to 33 μM), bupropion (CYP2B6;<br />

0 to 1.546 mM) and tolbut<strong>am</strong>ide (CYP2C9; 0 to 1.5 mM) constituted<br />

the substrate cocktail. A first set of experiments was conducted with<br />

recombinant CYP450 isozymes (Supersome) and substrates incubated<br />

separately, and together, to identify potential competitive inhibition.<br />

Then, incubations were performed with freshly isolated HHM and<br />

the substrate cocktail. Reactions were stopped with ice-cold MeOH<br />

(containing the internal standard). Incubations were centrifuged at<br />

12 <strong>00</strong>0 rpm, and the supernatant analyzed by LC-MS.<br />

RESULTS: Intrinsic clearance (Clint) for ebastine hydroxylation<br />

in Supersomes2J2 was 0,0128 and 0,0203 mL/min when incubated<br />

alone or with the cocktail, respectively, compared to 7,2 X 10 -3 mL/<br />

min in the HHM. Presence of other CYP450s in the HHM could influence<br />

the selectivity of each CYP450 toward probe drug metabolism<br />

which could explain the lower Clint in HHM compared to the Supersomes.<br />

Activities measured in HHM for ebastine, bupropion, and<br />

tolbut<strong>am</strong>ide correlated well with mRNA levels measured for CYP2J2,<br />

CYP2B6 and CYP2C9, respectively.<br />

CONCLUSIONS: Human heart microsomes express significant<br />

levels of CP450 isozymes which may contribute to the local metabolism<br />

of drugs.<br />

aBsTraCTs<br />

Michaelis-Menten Kinetics Par<strong>am</strong>eters<br />

Alone in<br />

Cocktail<br />

Cocktail Cocktail<br />

Alone in<br />

Super- Cocktail in Super- Cocktail in HHM in HHM<br />

Supersomes<br />

in Supersomes in HHM Vmax Velocity at isoen-<br />

Subs trates omes<br />

Vmax somes Vmax (pmol/ Km (pmol/ 3 times Km zymes<br />

Km<br />

(pmol/mg Km (µM) mg prot/ (µM) mg prot/ (pmol/mg<br />

(µM)<br />

prot/min)<br />

min)<br />

min) prot/min)<br />

mRNA<br />

relative<br />

expression<br />

Ebas tine 5,2 5905 2,6 4693 0,52 82 72 CYP2J2 4,4X105 Tolbut<strong>am</strong>ide 111 2989 - - 379 2,17 1,69 CYP2B6 20<br />

Bupro pion 160 1819 - - - - 0,25 CYP2C9 1<br />

<strong>PI</strong>-32<br />

STEREOSELECTIVE CONJUGATION OF 4-METHOXY-<br />

FENOTEROL STEREOISOMERS BY SULFOTRANSFERASES.<br />

L. V. Iyer, 1 A. R<strong>am</strong><strong>am</strong>oorthy, 2 A. M. Furimsky, 1 L. Tang, 1 P. Catz, 1<br />

C. E. Green, 1 I. W. Wainer 2 ; 1 SRI International, Menlo Park, CA,<br />

2 National Institute on Aging, Baltimore, MD. L.V. Iyer: None.<br />

A. R<strong>am</strong><strong>am</strong>oorthy: None. A.M. Furimsky: None. L. Tang: None.<br />

P. Catz: None. C.E. Green: None. I.W. Wainer: None.<br />

BACKGROUND: 4-Methoxyfenoterol (MF), a potent ß 2 agonist,<br />

is a chiral molecule with four possible stereoisomers (R,R-, S,S-, R,S-,<br />

and S,R-MF). It is an analog of fenoterol (FEN) which is in initial<br />

clinical trials for use in congestive heart failure but has a poor bioavailability<br />

due to extensive presystemic sulfation or glucuronidation.<br />

The 4’-methoxyphenyl group in MF may reduce the sites available for<br />

phase II conjugation and hence MF may have a better pharmacokinetic<br />

profile than FEN. The current study was performed to investigate i)<br />

the sulfation of MF stereoisomers and ii) the sulfation of R,R-MF in<br />

combination with each other MF isomer.<br />

METHODS: MF isomers were incubated with human intestinal<br />

S9 and cDNA expressed human SULT isoforms (SULT1A1, 1A1*2,<br />

1A2, 1A3, 1B1, 1C2, 1E1, 2A1). Competition experiments were<br />

performed to study the sulfation of [ 3 H]-R,R-MF in presence of the<br />

other MF isomers. MF isomers and sulfates were identified using an<br />

LC-MS/MS method or HPLC with radiochemical detection.<br />

RESULTS: Sulfation of all four MF isomers followed Michaelis<br />

Menten kinetics (r 2 ≥ 0.99). Individual K m values were ~ 62 μM<br />

(R,R-MF), 89 μM (S,S-MF), 69 μM (R,S-MF), 52 μM (S,R-MF). The<br />

maximal formation of R,R-MF- and R,S-MF sulfates was about 50%<br />

lower than that of S,S-MF and S,R-MF. SULT1A1*1, 1A1*2, 1A3 and<br />

1E1 were capable of sulfation of all four MF isomers. Coincubation of<br />

S,R-MF resulted in a significant (p2<strong>00</strong> μM.<br />

CONCLUSION: The results indicate that the sulfation of MF is<br />

stereoselective in terms of the formation rate of sulfates of isomers.<br />

Specific human SULTs were responsible for sulfation of MF isomers.<br />

The inhibition of sulfation of R,R-MF by S,R-MF might be an interesting<br />

strategy to improve the bioavailability and pharmacokinetic properties<br />

of R,R-MF.<br />

Funded by NIA (HHSN271201<strong>00</strong><strong>00</strong>08I).<br />

<strong>PI</strong>-33<br />

DEXMEDETOMIDINE DECREASES SERUM INSU-<br />

LIN CONCENTRATIONS AND THIS RESPONSE IS INFLU-<br />

ENCED BY ALPHA2A ADRENOCEPTOR GENETIC<br />

VARIATION. L. V. Ghimire, 1 D. Kurnik, 1 M. Muszkat, 1 G. G. Sofowora,<br />

1 M. Scheinin, 2 A. J. Wood, 1 C. Stein 1 ; 1 Vanderbilt University,<br />

Nashville, TN, 2 University of Turku, Turku, Finland. L.V. Ghimire:<br />

None. D. Kurnik: None. M. Muszkat: None. G.G. Sofowora: None.<br />

M. Scheinin: 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug;<br />

Dr. Scheinin has received speaker fees and consulting fees from Orion<br />

Corporation. A.J. Wood: None. C. Stein: None.<br />

BACKGROUND: Sympathetic activation inhibits insulin secretion<br />

through pancreatic alpha2A-adrenoceptors (α2AARs). A common<br />

α2AAR genetic variant (rs553668) is associated with impaired insulin<br />

secretion. We tested the hypothesis that dexmedetomidine (DEX), a<br />

selective α2AR agonist widely used in intensive care, decreases insulin<br />

CliniCal pharmaCology & TherapeuTiCs | volume 91 supplemenT 1 | marCh 2012 s19


aBsTraCTs nature publishing group<br />

and increases glucose levels in humans, and that ADRA2A variation<br />

modifies these effects.<br />

METHODS: Healthy Caucasians (n=28) and African-Americans<br />

(n=32), aged 18-45 years, received 3 sequential infusions of placebo<br />

at 30 minute intervals followed by 3 infusions of DEX (0.1, 0.15, and<br />

0.15 mcg/kg). We measured serum insulin and glucose concentrations<br />

and genotyped for ADRA2A rs553668 and rs2484516 that characterize<br />

haplotypes 4 and 4b, respectively.<br />

RESULTS: DEX decreased insulin concentrations by 27% from<br />

8.4±6.1 μU/mL to 6.1±3.9 μU/mL (P


nature publishing group<br />

Top nsSNPs associated with Primary Outcome<br />

Based on Treatment Interaction,<br />

Analysis Presented as Risk of Event within Treatment Arm,<br />

Under an Additive Genetic Model.<br />

White (n=795). Hispanic (Hisp, n=380)<br />

White SELE Ser149Arg CCB<br />

White SELE Ser149Arg BB<br />

Hisp SELP Val209Met CCB<br />

Hisp SELP Val209Met BB<br />

White SIGLEC12 Gln29stop CCB<br />

White SIGLEC12 Gln29stop BB<br />

Hisp SIGLEC12 Gln29stop CCB<br />

Hisp SIGLEC12 Gln29stop BB<br />

S149R Interaction P=0.048<br />

V209M Interaction P=0.<strong>00</strong>2<br />

Q29stop Interaction P=0.033<br />

Q29stop Interaction P=0.021<br />

0 1 2 3 4 5 6 7 8<br />

Odds Ratio and 95% Confidence Intervals<br />

<strong>PI</strong>-36<br />

ALPHA ADDUCIN-1 (ADD1) SINGLE NUCLEOTIDE POLYMOR-<br />

PHISM (SNP) ASSOCIATED WITH NEW ONSET DIABETES RISK<br />

WITH HYDROCHLOROTHIAZIDE (HCTZ) THERAPY IN THE<br />

INTERNATIONAL VERAPAMIL SR TRANDOLAPRIL GENETIC<br />

SUBSTUDY (INVEST-GENES). J. H. Karnes, C. W. McDonough, Y.<br />

Gong, T. Y. Langaee, C. J. Pepine, J. A. Johnson, R. M. Cooper-DeHoff;<br />

University of Florida, Gainesville, FL. J.H. Karnes: 1. This research<br />

was sponsored by; Company/ Drug; NIH Grant TL1RR029888. C.W.<br />

McDonough: None. Y. Gong: 1. This research was sponsored by; Company/Drug;<br />

NIH grants HL074730, HL69758, HL077113, GM074492<br />

and RR017568, a grant from Abbott Pharmaceuticals and the Florida<br />

Opportunity Fund. T.Y. Langaee: 1. This research was sponsored<br />

by; Company/Drug; NIH grants HL074730, HL69758, HL077113,<br />

GM074492 and RR017568, a grant from Abbott Pharmaceuticals<br />

and the Florida Opportunity Fund. C.J. Pepine: 1. This research was<br />

sponsored by; Company/Drug; NIH grants HL074730, HL69758,<br />

HL077113, GM074492 and RR017568, a grant from Abbott Pharmaceuticals<br />

and the Florida Opportunity Fund. 2. I <strong>am</strong> a paid consultant/<br />

employee for; Company/Drug; Abbott Labs, Angioblast Systems,<br />

Athersys, Baxter Healthcare, Boehringer Ingelheim, Gilead, Medtelligence,<br />

NicOx, Pfizer, sanofi-aventis, Schering-Plough, Servier and<br />

Slack. J.A. Johnson: 1. This research was sponsored by; Company/<br />

Drug; NIH grants HL074730, HL69758, HL077113, GM074492 and<br />

RR017568, a grant from Abbott Pharmaceuticals and the Florida Opportunity<br />

Fund. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug;<br />

Medco. R.M. Cooper- DeHoff: 1. This research was sponsored by;<br />

Company/Drug; NIH grants K23 HL086558, HL074730, HL69758,<br />

HL077113, GM074492 and RR017568, a grant from Abbott Pharmaceuticals<br />

and the Florida Opportunity Fund.<br />

BACKGROUND: The first line antihypertensive HCTZ is associated<br />

with increased new onset diabetes (NOD) risk. SNPs may help<br />

identify patients at risk for HCTZ-induced NOD and guide prescribing<br />

to reduce diabetes risk. The ADD1 SNP Gly460Trp has been associated<br />

with increased NOD risk in thiazide treated patients. Our study<br />

aimed to replicate this association and assess 31 additional ADD1<br />

SNPs for NOD risk with HCTZ therapy in patients with hypertension<br />

and coronary artery disease.<br />

aBsTraCTs<br />

METHODS: INVEST recorded cardiovascular outcomes and NOD<br />

during a comparison of two antihypertensive strategies over a mean 2.8<br />

years of follow up. A total of 446 NOD cases were identified and age,<br />

race and sex matched to 1,025 controls. We determined odds ratios and<br />

95% confidence intervals for NOD in HCTZ treated versus non HCTZ<br />

treated patients using logistic regression by race/ethnicity. We calculated<br />

SNP*HCTZ treatment interaction p values adjusted for false discovery<br />

rate to determine pharmacogenetic effects.<br />

RESULTS: Gly460Trp did not increase NOD risk in HCTZ treated<br />

versus non HCTZ treated patients overall or in any race/ethnicity. The<br />

rs3775067 C allele was associated with NOD in HCTZ treated versus non<br />

HCTZ treated patients in whites, with a similar trend overall. (Figure 1)<br />

CONCLUSION: We did not replicate the previous association of<br />

Gly460Trp and thiazide induced NOD. However, the pharmacogenetic<br />

effect of rs3775067 in INVEST whites suggests that ADD1 influences<br />

HCTZ induced NOD. Replication of this association is needed.<br />

Gly460Trp (rs4691)<br />

Overall<br />

Trp/Trp<br />

Whites*<br />

Trp carriers<br />

rs3775067<br />

Overall<br />

C/C<br />

Whites<br />

C/C<br />

SNP*HCTZ treatment<br />

Interaction p value<br />

<strong>PI</strong>-37<br />

SULFONYLUREA RECEPTOR POLYMORPHISMS IN ABCC8<br />

AFFECT THE RESPONSE TO SULFONYLUREA TREATMENT<br />

IN PATIENTS WITH TYPE 2 DIABETES MELLITUS. J. A. Wessels,<br />

J. J. Swen, T. Van der Straaten, T. El Hajoui, W. J. Assendelft, H. J.<br />

Guchelaar; Leiden University Medical Centre, Leiden, Netherlands.<br />

J.A. Wessels: None. J.J. Swen: None. T. Van der Straaten: None.<br />

T. El Hajoui: None. W.J. Assendelft: None. H.J. Guchelaar: None.<br />

BACKGROUND: There is significant interpatient variability<br />

in response to sulfonylureas (SUs) in patients with Type 2 Diabetes Mellitus<br />

(T2DM). We hypothesize that polymorphisms in the ABCC8 gene<br />

encoding the sulfonylurea receptor 1 influence the response to SUs.<br />

METHODS: Two hundred and seven incident SU users (tolbut<strong>am</strong>ide,<br />

glibencl<strong>am</strong>ide, glimepiride, gliclazide) with T2DM were recruited from<br />

four primary care centers. Retrospective medical and prescription data<br />

were retrieved from the electronic patient record. Haplotype analysis of the<br />

ABCC8 gene was performed by means of the fifteen most informative polymorphisms,<br />

resulting in fourteen haplotypes defined in four blocks. The<br />

association of these ABCC8 haplotypes with the achievement of stable SU<br />

CliniCal pharmaCology & TherapeuTiCs | volume 91 supplemenT 1 | marCh 2012 s21<br />

Gly/Trp<br />

Gly/Gly<br />

Gly/Trp<br />

C/G<br />

G/G<br />

C/G<br />

G/G<br />

Decreased NOD<br />

risk with HCTZ<br />

p = 0.95<br />

p = 0.60<br />

p = 0.<strong>00</strong>8<br />

p FDR = 0.27<br />

p = 0.<strong>00</strong>2<br />

pFDR = 0.04<br />

0 1 2 3 4 5 6 14 15<br />

Increased NOD risk<br />

with HCTZ<br />

Figure 1: Odds ratios and 95% confidence intervals for HCTZtreated<br />

versus non HCTZ-treated patients by genotype group.<br />

All statistics are adjusted for age, gender, body mass index, on<br />

treatment systolic blood pressure, atenolol or trandolapril<br />

treatment, and principal components one, two and three. HCTZ<br />

indicates hydrochlorothiazide, NOD new onset diabetes<br />

*Gly460Trp presented as Trp carriers due to low Trp frequency


aBsTraCTs nature publishing group<br />

dose, prescribed stable SU dose, and time to stable SU dose was explored.<br />

Stable SU dose was defined as the 1st period of ≥270 consecutive days<br />

without dose adjustment, initiation of other SUs, insulin or metformin.<br />

RESULTS: Carriers of the GTGGC haplotype had a 2.2-fold<br />

increased likelihood to achieve stable SU dose (P = 0.024), while no<br />

significant effect of the number of copies of this ABCC8 haplotype<br />

on prescribed dose was found. Of the patients with two copies of the<br />

GTGGC haplotype, 86% achieved stable SU dose, whereas of the<br />

patients with one copy and no copy of the GTGGC haplotype 81%<br />

and 66% achieved stable SU dose, respectively. Additionally, carriers<br />

of the GTGGC haplotype also showed a significant decreased time to<br />

stable dose (hazard ratio: 0.70; 95% confidence interval, 0.54-0.91, P=<br />

0.<strong>00</strong>6). No associations with any of the other haplotypes were found.<br />

CONCLUSION: The sulfonylurea receptor GTGGC haplotype is<br />

associated with response to SUs in primary care T2DM patients. This<br />

suggests that individualization of T2DM treatment according to genetic<br />

profile may be an opportunity to improve clinical outcome.<br />

<strong>PI</strong>-38<br />

PON-1 IS NOT THE MAJOR BIOACTIVATION PATHWAY OF<br />

CLO<strong>PI</strong>DOGREL IN-VITRO. V. Ancrenaz, 1 J. Desmeules, 1 R. J<strong>am</strong>es, 2<br />

P. Dayer, 1 Y. Daali 1 ; 1 Clinical Pharmacology Service, Geneva<br />

University Hospitals, Geneva, Switzerland, 2 Geneva University<br />

Hospitals, Geneva, Switzerland. V. Ancrenaz: None. J. Desmeules:<br />

None. R. J<strong>am</strong>es: None. P. Dayer: None. Y. Daali: None.<br />

BACKGROUND: Clopidogrel (CLP) is a prodrug bioactivated by<br />

cytochromes P450 (CYPs). Recently paraoxonase-1 (PON-1) was designated<br />

as the major enzyme involved in the bioactivation of CLP. The<br />

purpose of this study was to assess the relative involvement of CYPs<br />

and PON-1 in the CLP metabolism in vitro.<br />

METHODS: PON-1 activity was measured in serum and human<br />

liver microsomes (HLMs) using phenyalacetate and serum activity<br />

was adjusted to HLMs activity. CLP metabolism was studied in human<br />

serum, in recombinant PON-1 enzyme (rePON1), pooled HLMs and<br />

in HLMs with CYP2C19*1/*1 and CYP2C19*2/*2 genotypes. Inhibition<br />

studies were also performed using specific CYP inhibitors or CYPs<br />

and PON-1 antibodies. CLP active metabolite (CLP-AM) was measured<br />

using an LC-MS-MS method after derivatization with 2-bromo-3’methoxyacetophenone.<br />

RESULTS: PON-1 activity (mean±SD) was found to be 294.9±28.5<br />

U/ml, 2.01±0.1 U/mg, 1.99±0.04 U/mg and 2±0.04 U/mg in human<br />

serum, pooled HLMs, CYP2C19*1/*1 HLM and CYP2C19*2/*2<br />

HLMs, respectively. Production of CLP-AM from 2oxo-CLP was<br />

around 5<strong>00</strong> fold lower in human serum than in pooled HLMs. When<br />

2oxo-CLP was incubated with rePON1 (from 0 to 1<strong>00</strong> μg), CLP-AM<br />

could not be detected. CLP-AM production from 2oxo-CLP was lower<br />

in HLMs with CYP2C19*2/*2 genotype (V max =18.4 ±0.96 pmol/min/<br />

mg) compared to HLMs with *1/*1 genotype (V max =4.1±0.08 pmol/<br />

min/mg) while PON-1 activity was similar in the two microsomes.<br />

Moreover, incubations in the presence specific inhibitors of CYP3A,<br />

CYP2B6 and CYP2C19 significantly reduced CLP bioactivation while<br />

EDTA, the PON-1 specific inhibitor had only a weak inhibitory effect.<br />

CONCLUSION: CYP2C19 genetic polymorphism played an<br />

important role in the bioactivation of CLP in vitro. CYP3A and<br />

CYP2B6 inhibition with ritonavir significantly reduced the production<br />

of the CLP-AM. PON-1 is not involved in the metabolism of clopidogrel<br />

at clinically relevant concentrations.<br />

<strong>PI</strong>-39<br />

MULTIPLE DOSES (MD) OF RIDAFOROLIMUS (RIDA) DO<br />

NOT HAVE A CLINICALLY IMPORTANT IMPACT ON THE<br />

SINGLE DOSE (SD) PHARMACOKINETICS (PK) OF MIDA-<br />

ZOLAM (MDZ). A. Patnaik, 1 A. Tolcher, 1 J. E. Talaty, 2 M. A.<br />

Stroh, 3 J. B. McCrea, 2 M. Trucksis, 4 J. Palcza, 5 K. Orford, 6 K. Cerchio,<br />

2 S. Breidinger, 7 D. Panebianco, 5 J. A. Wagner, 8 N. Agrawal, 7<br />

G. Carrizales, 1 R. Lush, 9 K. Papadopoulos 1 ; 1 South Texas Accelerated<br />

Research Therapeutics, San Antonio, TX, 2 Clinical Phar-<br />

macology, Merck & Co., Inc., North Wales, PA, 3 At the time of the<br />

study, Dr. Stroh was in Clinical PK/PD, Merck & Co., Inc., West<br />

Point, PA, 4 Clinical Pharmacology, Merck & Co., Inc., Boston,<br />

PA, 5 BARDS, Merck & Co., Inc., North Wales, PA, 6 At the time of<br />

the study, Dr. Orford was in Clinical Pharmacology, Merck & Co.,<br />

Inc., North Wales, PA, 7 Clinical PK/PD, Merck & Co., Inc., West<br />

Point, PA, 8 Clinical Pharmacology, Merck & Co., Inc., Rahway, NJ,<br />

9 H. Lee Moffit Cancer Center and Research Institute, T<strong>am</strong>pa, FL.<br />

A. Patnaik: 1. This research was sponsored by; Company/Drug;<br />

Merck & Co., Inc./Ridaforolimus. 6. I will be discussing the following<br />

product, which is not labeled for the use under discussion, or the<br />

product is still investigational; Company/Drug; Merck & Co., Inc./<br />

Ridaforolimus. A. Tolcher: 1. This research was sponsored by; Company/Drug;<br />

Merck & Co., Inc/Ridaforolimus. J.E. Talaty: 2. I <strong>am</strong> a<br />

paid consultant/employee for; Company/ Drug; Merck & Co., Inc./<br />

Ridaforolimus. M.A. Stroh: 2. I <strong>am</strong> a paid consultant/employee for;<br />

Company/Drug; Merck & Co., Inc./Ridaforolimus. J.B. McCrea: 2.<br />

I <strong>am</strong> a paid consultant/employee for; Company/Drug; Merck & Co.,<br />

Inc./Ridaforolimus. M. Trucksis: 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Merck & Co., Inc./Ridaforolimus. J. Palcza: 2.<br />

I <strong>am</strong> a paid consultant/employee for; Company/Drug; Merck & Co.,<br />

Inc./Ridaforolimus. K. Orford: 2. I <strong>am</strong> a paid consultant/employee for;<br />

Company/Drug; Merck & Co., Inc./Ridaforolimus. K. Cerchio: 2. I<br />

<strong>am</strong> a paid consultant/employee for; Company/Drug; Merck & Co.,<br />

Inc./Ridaforolimus. S. Breidinger: 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Merck & Co., Inc./Ridaforolimus. D. Panebianco:<br />

2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; Merck<br />

& Co., Inc./Ridaforolimus. J.A. Wagner: 2. I <strong>am</strong> a paid consultant/<br />

employee for; Company/Drug; Merck & Co., Inc./ Ridaforolimus. N.<br />

Agrawal: 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug;<br />

Merck & Co., Inc./Ridaforolimus. G. Carrizales: 1. This research was<br />

sponsored by; Company/Drug; Merck & Co., Inc./Ridaforolimus. R.<br />

Lush: 1. This research was sponsored by; Company/Drug; Merck &<br />

Co., Inc./Ridaforolimus. K. Papadopoulos: 1. This research was sponsored<br />

by; Company/Drug; Merck & Co., Inc./ Ridaforolimus.<br />

BACKGROUND: RIDA, a unique rap<strong>am</strong>ycin analog and potent<br />

inhibitor of mTor signaling, is being developed for the treatment of solid<br />

tumors. In vitro data indicate RIDA is a reversible and time- dependent<br />

inhibitor of CYP3A. Based on a theoretical equation for modeling<br />

time-dependent inhibition, an increase in plasma AUC between 1.13-<br />

and 1.25-fold was projected for a CYP3A substrate (MDZ) in the presence<br />

of therapeutic concentrations of RIDA. The study aim was to<br />

assess the effect of MD RIDA on the SD PK of MDZ.<br />

METHODS: This was a 2 part study; Part 1 was an open-label, fixedsequence<br />

design. Sixteen patients with advanced cancer received an oral<br />

SD of 2 mg MDZ on Day -2 (baseline). On Days 1-5 patients received<br />

once daily RIDA 40 mg (5 consecutive days); on Day 5 a SD of 2 mg<br />

MDZ was administered simultaneously with RIDA. Part 1 was complete<br />

at the end of Day 5 procedures. Plasma was collected for MDZ assay.<br />

Part 2 was an extension phase until disease progression; PK data were<br />

not collected.<br />

RESULTS: Fifteen patients were evaluated for PK. The geometric<br />

mean ratios (GMR) (90% CI) of MDZ + RIDA versus MDZ for AUC 0-∞<br />

and C max were 1.23 (1.07, 1.40) and 0.92 (0.82, 1.03), respectively.<br />

T max and apparent t 1/2 were similar (Table). The observed 1.23fold<br />

increase in MDZ AUC 0-∞ in the presence of RIDA was consistent<br />

with model predictions.<br />

Midazol<strong>am</strong> Alone<br />

Par<strong>am</strong>eter<br />

AUC0-10 (nghr/ml) †<br />

C0-10 (ng/ml) †<br />

T0-10 (hr) ‡<br />

Apparent10 (hr) ı<br />

N<br />

95% CI N<br />

95% CI GMR 90% CI rMSE<br />

15<br />

(36.03, 58.69) 15<br />

(44.19, 71.98) 1.23 (1.07, 1.40)<br />

15<br />

(15.12, 20.11) 15<br />

(13.91, 18.50) 0.92 (0.82, 1.03)<br />

15<br />

(0.3, 1.0) 15<br />

(0.3, 1.5)<br />

15<br />

2.4 15<br />

3.3<br />

ı<br />

Ridaforolimous + Midazol<strong>am</strong> (Ridaforolimous<br />

+ Midazol<strong>am</strong> /<br />

Midazol<strong>am</strong> Alone)<br />

GM<br />

GM<br />

45.99<br />

56.40<br />

0.208<br />

17.44<br />

16.04<br />

0.177<br />

0.5<br />

0.5<br />

-<br />

4.9<br />

5.3<br />

-<br />

ı rMSE: Square root of conditional mean squared error (residual error) from the linear mixed effect model rMSE*1<strong>00</strong>%<br />

approximates the within-subject %CV on the raw scale<br />

† Back-tranformed least-squares mean and confidence interval from linear mixed effects model performed on natural<br />

log-transformed values; GMR = Geometric least-squares mean ratio ([Ridaforolimus + Midazol<strong>am</strong>]/Midazol<strong>am</strong> alone)<br />

‡ Median (min, max) reported for Tmax<br />

ı Harmonic mean, jack-knife standard deviation reported for apparent t1-2<br />

GM Geometric Least-Squares Mean; CI: Confidence Interval<br />

s22 volume 91 supplemenT 1 | marCh 2012 | www.nature.com/cpt


nature publishing group<br />

CONCLUSION: Multiple doses of 40 mg RIDA for 5 days results<br />

in no clinically meaningful alterations of CYP3A activity and therefore<br />

RIDA can be administered with sensitive CYP3A substrates.<br />

<strong>PI</strong>-40<br />

THE BIOAVAILABILITY OF AN ORAL LIQUID FORMULA-<br />

TION (OLF) RELATIVE TO A FORMULATED CAPSULE (FC)<br />

OF CRIZOTINIB, A DUAL ALK/MET INHIBITOR, IN HEALTHY<br />

SUBJECTS. H. Xu, 1 M. O’Gorman, 1 W. Tan, 2 C. Leister, 3 M. Monajati,<br />

2 N. Brega, 4 G. Ni, 1 S. Phillips, 1 L. Mendes da Costa, 5 A. Bello 6 ;<br />

1 Pfizer Inc, Groton, CT, 2 Pfizer Inc, La Jolla, CA, 3 Pfizer Inc, Collegeville,<br />

PA, 4 Pfizer Inc, Milan, Italy, 5 Pfizer Inc, Brussels, Belgium,<br />

6 Pfizer Inc, New York, NY. H. Xu: 1. This research was sponsored<br />

by; Company/Drug; Pfizer. 2. I <strong>am</strong> a paid consultant/employee for;<br />

Company/Drug; Pfizer. M. O’Gorman: 1. This research was sponsored<br />

by; Company/Drug; Pfizer. 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Pfizer. W. Tan: 1. This research was sponsored<br />

by; Company/Drug; Pfizer. 2. I <strong>am</strong> a paid consultant/employee for;<br />

Company/Drug; Pfizer. C. Leister: 1. This research was sponsored<br />

by; Company/Drug; Pfizer. 2. I <strong>am</strong> a paid consultant/employee for;<br />

Company/Drug; Pfizer. M. Monajati: 1. This research was sponsored<br />

by; Company/Drug; Pfizer. 2. I <strong>am</strong> a paid consultant/employee for;<br />

Company/Drug; Pfizer. N. Brega: 1. This research was sponsored by;<br />

Company/Drug; Pfizer. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug;<br />

Pfizer. G. Ni: 1. This research was sponsored by; Company/Drug;<br />

Pfizer. 2. I <strong>am</strong> a paid consultant/employee for; Company/<br />

Drug; Pfizer. S. Phillips: 1. This research was sponsored by; Company/Drug;<br />

Pfizer. 2. I <strong>am</strong> a paid consultant/employee for; Company/<br />

Drug; Pfizer. L. Mendes da Costa: None. A. Bello: 1. This research<br />

was sponsored by; Company/Drug; Pfizer. 2. I <strong>am</strong> a paid consultant/<br />

employee for; Company/Drug; Pfizer.<br />

BACKGROUND: Crizotinib (CRZ) is an orally administered<br />

selective small molecule ATP-competitive inhibitor of the anaplastic<br />

lymphoma kinase (ALK) and MET/HGF receptor tyrosine kinases<br />

and has recently been approved, as Xalkori, for the treatment of<br />

ALK-positive non-small cell lung cancer (NSCLC). An oral liquid<br />

formulation (OLF) is under development in order to provide dosing<br />

options for patients unable to swallow the marketed formulated<br />

capsule (FC).<br />

METHODS: Two single oral CRZ doses given as OLF and FC,<br />

separated by at least 14 days were administered to 22 healthy subjects<br />

under fasted condition in an open-label, randomized, 2-period, 2-treatment,<br />

2-sequence, cross-over study. Plasma concentrations of CRZ and<br />

its metabolite PF-06260182, from serial s<strong>am</strong>ples collected after each<br />

dose, were determined using a validated HPLC-MS/MS method. Pharmacokinetic<br />

(PK) par<strong>am</strong>eters for CRZ and PF-06260182 were derived<br />

from plasma concentration-time data using non-compartmental methods.<br />

The relative bioavailability of CRZ when given as the OLF and FC<br />

was determined as the ratio (OLF/FC) of the adjusted geometric means<br />

of CRZ AUC inf . Bioequivalence was to be concluded if the 90% confidence<br />

intervals (CIs) for ratios of CRZ AUC inf and C max were within<br />

80 - 125%.<br />

RESULTS: The CRZ plasma concentration time profiles with<br />

the OLF and FC were super imposable and a median T max value of<br />

5.0 hours was determined for both formulations. The ratios of adjusted<br />

geometric means (90% confidence interval) of CRZ AUC inf and C max<br />

were 99.58% (91.08%, 108.87%) and 96.84% (88.22%, <strong>106</strong>.32%),<br />

respectively. PK par<strong>am</strong>eters of CRZ were similar following the administration<br />

of the two formulations. The plasma concentration time profiles<br />

and estimated pharmacokinetic par<strong>am</strong>eters for PF-06260182 were<br />

also similar for the two formulations.<br />

CONCLUSION: The bioavailability of crizotinib given as the OLF<br />

relative to the FC was 99.6% and the two formulations were determined<br />

to be bioequivalent.<br />

aBsTraCTs<br />

<strong>PI</strong>-41<br />

ASSOCIATION OF ABCC2 POLYMORPHISMS WITH CISPL-<br />

ATIN DISPOSITION AND EFFICACY. J. A. Sprowl, 1 V. Gregorc, 2<br />

C. Lazzari, 2 R. H. Mathijssen, 3 W. J. Loos, 3 A. Sparreboom 1 ; 1 St Jude<br />

Children’s Research Hospital, Memphis, TN, 2 Scientific Institute<br />

University Hospital San Raffaele, Milan, Italy, 3 Erasmus MC, Rotterd<strong>am</strong>,<br />

Netherlands. J.A. Sprowl: None. V. Gregorc: None. C. Lazzari:<br />

None. R.H. Mathijssen: None. W.J. Loos: None. A. Sparreboom:<br />

None.<br />

BACKGROUND: ABCC2 (MRP2) is a polymorphic ATP-binding<br />

cassette transporter that is important in detoxification by transporting<br />

compounds such as the anticancer agent cisplatin. ABCC2 is highly<br />

expressed in certain cisplatin-resistant tumors and on the apical membrane<br />

of renal proximal tubular cells. We hypothesized that ABCC2<br />

may be involved in the luminal secretion of cisplatin, thereby affecting<br />

drug disposition and pharmacodyn<strong>am</strong>ic profiles.<br />

METHODS: Experimental studies were performed in Abcc2deficient<br />

mice and in the NCI60 cancer cell line panel. Two cohorts of<br />

adult Caucasians with advanced non-small cell lung cancer (NSCLC)<br />

were treated with cisplatin-based chemotherapy (dose, 50-1<strong>00</strong> mg/<br />

m 2 ). Each patient’s DNA was screened for single-nucleotide polymorphisms<br />

(SNPs) in ABCC2 by direct nucleotide sequencing.<br />

RESULTS: In clinical s<strong>am</strong>ples, 7 SNPs in ABCC2 and 18 different<br />

haplotypes were identified. In cohort 1 (n=112), individual SNPs<br />

were not significantly associated with systemic clearance of unbound<br />

cisplatin (P>0.12), with renal clearance of cisplatin (P>0.05), or with<br />

the percentage change in serum creatinine from baseline, a marker<br />

of nephrotoxicity. In cohort 2 (n=125), response rate (P>0.41), progression-free<br />

survival (P>0.63), and overall survival (P>0.81) were<br />

also not associated with the studied SNPs. In Abcc2-deficient mice,<br />

the cumulative urinary excretion of cisplatin was unchanged compared<br />

with wild type mice (85.5±13.9 vs 85.5±8.37%), as were serum<br />

creatinine levels (P>0.05). These findings are consistent with a lack<br />

of correlation between (i) SNPs and mRNA expression in cancer cells<br />

(P>0.26), and (ii) mRNA expression and cisplatin-induced cytotoxicity<br />

(R=-0.05; P=0.21).<br />

CONCLUSION: Our study suggests that common ABCC2 variants<br />

do not substantially contribute to explaining the extensive interindividual<br />

variability in cisplatin disposition and efficacy.<br />

<strong>PI</strong>-42<br />

CONTRIBUTION OF P53 SIGNALING TO CISPLATIN NEPH-<br />

ROTOXICITY IN OCT1/2-DEFICIENT MICE. C. S. Lancaster, J. A.<br />

Sprowl, R. M. Franke, A. A. Gibson, L. Li, D. Finkelstein, L. Janke,<br />

A. Sparreboom; St Jude Children’s Research Hospital, Memphis, TN.<br />

C.S. Lancaster: None. J.A. Sprowl: None. R.M. Franke: None.<br />

A.A. Gibson: None. L. Li: None. D. Finkelstein: None. L. Janke:<br />

None. A. Sparreboom: None.<br />

BACKGROUND: We previously reported that tubular secretion of<br />

cisplatin is abolished in Oct1/Oct2-deficient [Oct1/2(-/-)] mice, and<br />

that these animals are protected from severe cisplatin-induced kidney<br />

d<strong>am</strong>age (Franke et.al. CCR 2010). Since tubular necrosis was not completely<br />

absent in Oct1/2(-/-) mice, we hypothesized that other pathways<br />

are involved in the observed injury.<br />

METHODS: Studies were done in female wild type, Oct1/2(-/-), or<br />

p53(+/-) animals receiving i.p. cisplatin at 10-15 mg/kg. The cisplatinglutathione<br />

metabolites GSH1 and GSH2 were analyzed using LC/<br />

MS/MS, and gene expression was assessed using Affymetrix microarrays<br />

and RT-PCR arrays.<br />

RESULTS: Expression levels of putative cisplatin transporters<br />

(eg, Abcc2, Slc31a1) or the glutathione transporter Slc22a8 were not<br />

altered in kidneys of Oct1/2(-/-) mice. In line with this finding, urinary<br />

levels of GSH1/GSH2 to total platinum were unchanged compared to<br />

wild type mice (P>0.15). In addition, γ-glut<strong>am</strong>yltranspeptidase (GGT)<br />

CliniCal pharmaCology & TherapeuTiCs | volume 91 supplemenT 1 | marCh 2012 s23


aBsTraCTs nature publishing group<br />

and expression of the GGT-pathway genes Ggt1, Anpep and Ccbl1<br />

was unaffected. KEGG pathway analyses on kidneys from treated<br />

mice revealed that the most significantly altered genes were associated<br />

with the p53 signaling network, including Cdnk1a and Mdm2, both in<br />

wild type mice (P=2.40×10 -11 ) and Oct1/2(-/-) mice (P=1.92×10 -8 ).<br />

The significance of this pathway was confirmed in subsequent experiments<br />

demonstrating that even heterozygosity for a p53-null allele<br />

already resulted in <strong>am</strong>elioration of cisplatin nephrotoxicity. Furthermore,<br />

administration of pifithrin-α, an inhibitor of p53-dependent transcriptional<br />

activation, decreased cisplatin-induced kidney d<strong>am</strong>age in<br />

Oct1/2(-/-) mice compared to vehicle control.<br />

CONCLUSION: These findings indicate that (i) the p53 pathway<br />

plays a crucial role in response to cisplatin treatment and (ii) clinical<br />

exploration of OCT2 inhibitors may not lead to complete nephroprotection<br />

unless this pathway is simultaneously attacked.<br />

<strong>PI</strong>-43<br />

CONTRIBUTION OF METABOLISM TO SORAFENIB PHAR-<br />

MACOKINETIC VARIABILITY. E. I. Zimmerman, J. L. Roberts,<br />

L. Li, A. Gibson, J. E. Rubnitz, H. Inaba, S. D. Baker; St. Jude Children’s<br />

Research Hospital, Memphis, TN. E.I. Zimmerman: None.<br />

J.L. Roberts: None. L. Li: None. A. Gibson: None. J.E. Rubnitz:<br />

None. H. Inaba: 6. I will be discussing the following product, which<br />

is not labeled for the use under discussion, or the product is still investigational;<br />

Company/Drug; Bayer Pharmaceuticals/sorafenib, Onyx<br />

Pharmaceuticals/sorafenib. S.D. Baker: None.<br />

BACKGROUND: Sorafenib is a multikinase inhibitor currently<br />

under clinical investigation for the treatment of acute myeloid<br />

leukemia (AML). The purpose of our study was to characterize sorafenib<br />

metabolism in pediatric AML patients and determine the UDPglucuronosyltransferase<br />

(UGT) and cytochrome P450 (CYP) enzymes<br />

involved in sorafenib metabolism.<br />

METHODS: Sorafenib was administered (150 or 2<strong>00</strong> mg/m 2 twice<br />

daily) and PK s<strong>am</strong>pling was performed at steady-state. Sorafenib<br />

metabolism was assessed in vitro using human liver microsomes and<br />

recombinant UGT and CYP isozymes. The effect of azole antifungals<br />

on sorafenib metabolism by UGT1A9 and CYP3A4 was determined<br />

in vitro. Sorafenib and metabolites were measured in human plasma<br />

and in vitro metabolic reaction mixtures by LC-MS/MS.<br />

RESULTS: In 22 children with AML (14 males; median age, 9 yr<br />

[range, 1-17 yr]), the median (range) conversion rate of sorafenib to<br />

sorafenib N-oxide, an active metabolite, was 20% (5.2%-69%). Notably,<br />

metabolism to N-oxide was highest (> 30%) in males aged 5-10 yr.<br />

Sorafenib was predominantly metabolized by UGT1A9 to sorafenib<br />

glucuronide (Km = 3.6 μM) and by CYP3A4 to the N-oxide (Km =<br />

12 μM, Vmax = 3.1 nmol/min/nmol). Ketoconazole inhibited sorafenib<br />

metabolism by UGT1A9 (Ki = 2.2 μM), while ketoconazole, posaconazole<br />

and voriconazole inhibited CYP3A4-mediated metabolism<br />

(Ki = 0.17, 0.38, and 39 μM, respectively). Patients receiving concurrent<br />

voriconazole or posaconazole had the lowest sorafenib N-oxide<br />

conversion rates to the N-oxide (


nature publishing group<br />

laboratory data were entered into a stepwise regression for the first half<br />

of patients’ enrolled (derivation (D) cohort). The regression model was<br />

then evaluated in the remainder of the patients (validation (V) cohort).<br />

RESULTS: A total of 768 patients were included in the analysis, the<br />

first 418 in the derivation and remaining 350 in the validation cohort.<br />

Only BL glu in ATEN and BL glu and BL insulin (ins) in HCTZ<br />

retained significance in the validation cohort (Table). The correlation<br />

between the model-predicted versus observed glu change in the validation<br />

cohort was r=0.4343 for ATEN and r=0.3168 for HCTZ.<br />

CONCLUSION: Baseline glucose is the main predictor of drugassociated<br />

rise in glucose during treatment with both ATEN and<br />

HCTZ. No other clinical variables were validated as predictors with<br />

ATEN; and only BL insulin was an additional predictor for HCTZ.<br />

However, overall, these clinical factors have low predictive value for<br />

drug-associated glucose rise.<br />

ATEN HCTZ<br />

Partial Model Par<strong>am</strong>eter Partial Model Par<strong>am</strong>eter<br />

R2 R2 Estimate P-value R2 R2 Estimate P-value<br />

D BL glu 0.1159 0.1159 -0.2995


aBsTraCTs nature publishing group<br />

RESULTS: The distribution kinetics of GlySar at the blood-CSF<br />

barrier are best described by a three-compartment model with the predicted<br />

GlySar concentrations highly correlated to the observed values<br />

in blood and CSF. The estimated blood clearance values are 0.233 and<br />

0.447 mL/min in wild-type and PEPT2 knockout mice, respectively.<br />

Total efflux CL from CSF to blood was 5-fold higher for wild-type<br />

mice compared to PEPT2 knockout mice and it demonstrates that<br />

PEPT2 plays an important role in the elimination and CSF distribution<br />

of GlySar, and serves as an efflux pump at the blood-CSF barrier.<br />

Based on estimated par<strong>am</strong>eter values, it seems that the active efflux CL<br />

by PEPT2 contributes to 80% of total efflux CL in brain of wild-type<br />

mice and the rest of 20% is mediated by bulk and diffusion CL.<br />

CONCLUSION: In vivo CNS distribution kinetics of PEPT2 substrates<br />

depending on PEPT2 expression level can be well described by<br />

a three-compartment model using NONMEM approach. Given individual<br />

PEPT2 expression level, it may be possible to elucidate and predict<br />

the transfer kinetics of PEPT2 substrates in human CSF and brain<br />

using this modeling approach.<br />

<strong>PI</strong>-50<br />

NO EFFECTS OF GENDER, AGE AND FOOD ON THE PHAR-<br />

MACOKINETICS OF CC-930 IN HEALTHY SUBJECTS. M. E.<br />

Thomas, Jr, A. Wu, L. Liu, L. Kong, S. Choudhury, Y. Yes, M. Parmesan,<br />

O. L. Laski; Colene Corporation, Summit, NJ. M.E. Thomas, Jr:<br />

None. A. Wu: None. L. Liu: None. L. Kong: None. S. Choudhury:<br />

None. Y. Ye: None. M. Parmesan: None. O.L. Laski: None.<br />

BACKGROUND: To assess the effects of gender, age and food on<br />

the pharmacokinetics (PK) of CC-930 in healthy subjects (HS).<br />

METHODS: 36 HS were enrolled and distributed equally into<br />

3 groups. Groups 1 & 2 consisted of young females & males, respectively,<br />

ages 18-55 (inclusive). Group 3 consisted of elderly HS, ages<br />

65-85 (inclusive). All HS received a single 1<strong>00</strong> mg dose of CC-930<br />

under fasting conditions and Group 2 HS received a second single<br />

1<strong>00</strong> mg dose of CC-930 under fed conditions in a randomized,<br />

2- period, crossover fashion. Serial blood s<strong>am</strong>ples were collected for<br />

determination of plasma CC-930 concentrations.<br />

RESULTS: 7 HS (19.44%) reported a total of 8 treatment-emergent<br />

adverse events (TEAEs). TEAEs included Malia, pain in extremity, ear<br />

disorder, excoriation, headache, rhino rhea & mental status change.<br />

No TEAEs were deemed related to CC-930. Primary PK par<strong>am</strong>eters<br />

are summarized below. Mean AUCs of CC-930 were similar between<br />

females & males, with mean C max slightly decreased in females. Mean<br />

AUCs of CC-930 were similar between elderly & young HS, with<br />

mean C max slightly increased in the elderly. Mean AUCs of CC-930<br />

were similar when HS were dosed either with or without food, with<br />

mean C max slightly lower with food. Median T max was not affected by<br />

gender or age; however, food delayed T max by ~3 hours.<br />

CONCLUSION: There were no clinically relevant effects of gender,<br />

age or food on the PK of CC-930. CC-930 was well-tolerated in<br />

all subjects when a single 1<strong>00</strong> mg dose was administered under fasting<br />

and/or fed conditions.<br />

Geometric Mean (Geometric CV%)<br />

Gender Effect<br />

(Groups 1-3)<br />

FEMALES<br />

(N = 17)<br />

C max (ng/mL) 586.80<br />

(58.0)<br />

AUC 0-t<br />

(ng*hr/mL)<br />

AUC 0-inf<br />

(ng*hr/mL)<br />

13050.01<br />

(26.9)<br />

13663.99<br />

(28.9)<br />

T max (hr)* 2.<strong>00</strong><br />

(1.<strong>00</strong>-8.<strong>00</strong>)<br />

MALES<br />

(N = 19)<br />

645.79<br />

(38.0)<br />

14034.74<br />

(25.5)<br />

14983.12<br />

(26.7)<br />

1.50<br />

(1.<strong>00</strong>-4.<strong>00</strong>)<br />

Age Effect<br />

(Groups 1-3)<br />

YOUNG<br />

(N = 24)<br />

602.02<br />

(39.1)<br />

13501.88<br />

(25.5)<br />

14398.28<br />

(27.6)<br />

1.52<br />

(1.<strong>00</strong>-8.<strong>00</strong>)<br />

*Median (minimum - maximum); N = Number of subjects<br />

ELDERLY<br />

(N = 12)<br />

648.81<br />

(64.6)<br />

13679.40<br />

(28.3)<br />

14239.14<br />

(29.4)<br />

1.50<br />

(1.<strong>00</strong>-4.<strong>00</strong>)<br />

FASTING<br />

(N = 12)<br />

658.46<br />

(31.3)<br />

14376.45<br />

(24.8)<br />

15584.10<br />

(25.4)<br />

Food Effect<br />

(Group 2)<br />

1.<strong>00</strong><br />

(1.<strong>00</strong>-2.50)<br />

FED<br />

(N = 12)<br />

571.69<br />

(20.1)<br />

14744.60<br />

(22.7)<br />

16177.79<br />

(23.1)<br />

4.<strong>00</strong><br />

(2.<strong>00</strong>-8.<strong>00</strong>)<br />

<strong>PI</strong>-51<br />

SAFETY/TOLERABILITY AND PHARMACOKINETICS OF<br />

MULTIPLE ORAL DOSES OF APREMILAST IN HEALTHY MALE<br />

SUBJECTS. A. Wu, 1 P. Rohane, 1 J. Ng, 2 B. DeGroot, 2 B. Colgan, 2 O.<br />

L. Laskin 1 ; 1 Celgene Corp., Summit, NJ, 2 Celerion, Inc., Lincoln, NE.<br />

A. Wu: 1. This research was sponsored by; Company/Drug; Colene<br />

Corp. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; Colene<br />

Corp. P. Roane: 1. This research was sponsored by; Company/Drug;<br />

Celgene Corp. J. Ng: None. B. DeGroot: None. B. Colgan: None.<br />

O.L. Laskin: 1. This research was sponsored by; Company/Drug;<br />

Celgene Corp.<br />

BACKGROUND: To evaluate the safety/tolerability and pharmacokinetics<br />

(PK) of ascending multiple oral doses of apremilast (APR)<br />

in healthy subjects (HS).<br />

METHODS: Staggered parallel, double-blind, randomized, placebo-controlled<br />

trial where cohorts received ascending dose regimes of<br />

APR 40, 60, or 80 mg QD; 40 mg BID; 40 mg QD with dose titration<br />

(10 , 20, and 40 mg on Days 1-3, 4-6, and 7-14, respectively), or a<br />

matching placebo for 14 days. A total of 55 HS were equally allocated<br />

to one of the 5 cohorts (each cohort randomized to 9 active, 2 placebo).<br />

RESULTS: APR was absorbed rapidly with t max of 2-3 hours, and<br />

was eliminated in a biphasic manner with terminal elimination t 1/2<br />

ranging from 6-9 hours. The PK profiles on Days 1 and 14 were similar<br />

with minimum accumulation. Following single dose and at steady<br />

state, systemic exposure (C max and AUC) appeared to increase in a less<br />

than dose proportional manner with 40% inter-subject variability. Less<br />

than 4% of APR was excreted in urine as parent drug. One or more<br />

treatment emergent adverse events (TEAE) were seen in 42 (93%)<br />

HS receiving APR compared to 5 (50%) HS receiving placebo. The<br />

most frequently reported AEs with apremilast compared to placebo<br />

were nausea 71% vs 10%, headache 60% vs. 10%, upper abdominal<br />

pain 22% vs. 0%, dizziness 20% vs. 10%, diarrhea 18% vs. 0% and<br />

vomiting 13% vs. 0%, respectively. At 40 mg daily dose, nausea was<br />

reported by 44% HS with, and 78% HS without dose titration. Vomiting<br />

was observed in 1HS at 40 mg BID compared to 4 HS at 80 mg<br />

QD. Microscopic hematuria was only seen in 2 HS at 80 mg QD dose.<br />

The majority of TEAEs were mild in severity, resolved without treatment,<br />

and were suspected to be related to APR.<br />

CONCLUSION: APR was tolerated in HS at doses up to 80 mg<br />

daily (40 mg BID) for 14 days. APR systemic exposure increased in a<br />

sub-dose proportional manner with moderate variability. APR is subject<br />

to nonrenal clearance mechanisms.<br />

<strong>PI</strong>-52<br />

POPULATION PHARMACOKINETIC ANALYSIS OF (R)- AND<br />

(S)-KETAMINE AND NORKETAMINE IN RATS ON AD LIB AND<br />

CALORIE RESTRICTED DIETS. A. R<strong>am</strong><strong>am</strong>oorthy, 1 S. Van Wart, 2<br />

R. de Cabo, 1 D. Mager, 2 I. Wainer 1 ; 1 National Institute on Aging<br />

(NIA/NIH), Baltimore, MD, 2 University at Buffalo, Buffalo, NY.<br />

A. R<strong>am</strong><strong>am</strong>oorthy: None. S. Van Wart: None. R. de Cabo: None.<br />

D. Mager: None. I. Wainer: None.<br />

BACKGROUND: Diet and nutritional status can affect drug<br />

metabolism. Caloric restriction (CR) can increase the activity of the<br />

cytochrome P450 (CYP) enzymes, alter the regioselectivity of CYPs,<br />

and enhance drug metabolism. Ket<strong>am</strong>ine (KET) is effectively used in<br />

the treatment of pain and depression. The purpose of this study was<br />

to assess the impact of CR on the pharmacokinetics (PK) of both the<br />

(R)- and (S)-ket<strong>am</strong>ine (KET) enantiomers and its key metabolite norket<strong>am</strong>ine<br />

(NKET).<br />

METHODS: Male Fisher rats fed on an ad libitum diet (n=30;<br />

avg wt 426 g) and a CR diet (n=30; avg wt 240 g) were given a single<br />

90 mg/kg dose of racemic KET hydrochloride intraperitoneally<br />

(IP). The (S)- and (R)-KET and (S)- and (R)-NKET plasma concentrations<br />

were determined by HPLC. Separate population PK models<br />

were developed for the (R)- and (S)-KET and (R)- and (S)-NKET in<br />

NONMEM using a naïve pooled approach. CR was tested as a covariate<br />

on each model par<strong>am</strong>eter using a likelihood ratio test (α=0.<strong>00</strong>1).<br />

s26 volume 91 supplemenT 1 | marCh 2012 | www.nature.com/cpt


nature publishing group<br />

RESULTS: A one-compartment model was able to characterize<br />

the KET and NKET concentration-time profiles for both the (R) and<br />

(S) analyses. CR resulted in a statistically significant increase in the<br />

relative IP bioavailability for both (R)-KET (2.05-fold) and (S)-KET<br />

(1.88-fold). The increase in relative bioavailability is greater than what<br />

would be expected based upon differences in body weight, suggesting<br />

additional mechanisms for altered KET PK. CR also resulted in a statistically<br />

significant increase in the formation rate of (R)-NKET (1.2fold)<br />

and a decrease in the elimination rate of (R)-NKET (2.15-fold).<br />

CONCLUSION: CR alters the PK of (R)- and (S)-KET and selectively<br />

increases the net exposure to (R)-NKET in rats. Diet and nutritional<br />

status may therefore need to be considered when administering<br />

KET.<br />

<strong>PI</strong>-53<br />

DETERMINATION OF KETAMINE AND ITS DOWN-<br />

STREAM METABOLITES IN PLASMA AND BRAIN OF WIS-<br />

TAR RATS. M. Sanghvi, 1 R. Moaddel, 1 K. OLoughlin, 2 C. Green, 2<br />

A. R<strong>am</strong><strong>am</strong>oorthy, 1 I. Wainer 1 ; 1 NIA/NIH, Baltimore, MD, 2 SRI International,<br />

Menlo Park, CA. M. Songhai: None. R. Moaddel: None.<br />

K. Laughlin: None. C. Green: None. A. R<strong>am</strong><strong>am</strong>oorthy: None.<br />

I. Wainer: None.<br />

BACKGROUND: (R,S)-Ket<strong>am</strong>ine (K) is effective in the treatment<br />

of depression and chronic pain. K is extensively metabolized to norket<strong>am</strong>ine<br />

(NK), dehydronorket<strong>am</strong>ine (DHNK), hydroxynorket<strong>am</strong>ines<br />

(HNK) and hydroxyket<strong>am</strong>ines (HK). We evaluated the distribution of<br />

K and its downstre<strong>am</strong> metabolites in the brain and plasma of Westar<br />

rats.<br />

METHODS: Male Westar rats were dual catheterized and (R,S)-<br />

Kept (40 mg/kg) was administered through one and plasma s<strong>am</strong>ples<br />

were collected from the other at 5, 10, 20, 40 and 60 min, 2h, 4h, 8h,<br />

12h, 24h and 72h and brains were collected at 10, 30 and 60 min and<br />

4h (n = 3). Plasma and brain concentrations of K at its downstre<strong>am</strong><br />

metabolites were determined using a LC-MS/MS assay, blood partitioning<br />

studies were also carried out for all analyses.<br />

RESULTS: K, NK and DHNK, (2S,6S;2R,6R) HNK (4a),<br />

(2S,6R;2R,6S) HNK (4b), (2S,5S;2R,5R) HNK and (2S,5R;2R,5S)<br />

HNK were measured in plasma, with 4a being a major metabolite,<br />

maximum concentration 2621 ng/ml at 40 min. The metabolites<br />

were also measured in the CNS, with 4a reaching maximum concentrations<br />

of 1571 ng/ml at 30 min and 4b reaching 769 ng/ml at<br />

10 min. The transport of NK into the CNS was enantioselective with<br />

R-NK concentrations 5 times higher than S-NK at 10 min. Low levels<br />

of DHNK were also detected in plasma and brain, and blood partition<br />

studies indicate that 80% of DHNK was partitioned into red<br />

blood cells.<br />

CONCLUSION: The results demonstrate that while NK is the<br />

initial metabolite, it is not the major metabolite and that downstre<strong>am</strong><br />

metabolites enter the CNS. The data suggest that future clinical studies<br />

of K should include the analysis of all of its metabolites as they may<br />

play a key role in the therapeutic properties of K.<br />

<strong>PI</strong>-54<br />

POPULATION PHARMACODYNAMICS OF NADROPARIN<br />

IN MORBIDLY OBESE PATIENTS USING ANTI-XA LEVELS AS<br />

PHARMACODYNAMIC ENDPOINT. J. Diepstraten, E. J. Janssen,<br />

C. M. Hacking, S. van Kralingen, M. Y. Peeters, E. P. van Dongen,<br />

R. J. Wiezer, B. van R<strong>am</strong>shorst, C. A. Knibbe; St. Antonius Hospital,<br />

Nieuwegein, Netherlands. J. Diepstraten: None. E.J. Janssen: None.<br />

C.M. Hackeng: None. S. van Kralingen: None. M.Y. Peeters: None.<br />

E.P. van Dongen: None. R.J. Wiezer: None. B. van R<strong>am</strong>shorst:<br />

None. C.A. Knibbe: None.<br />

BACKGROUND: Morbidly obese patients (body mass index<br />

(BMI) > 40 kg/m2) are at increased risk for thromboembolism, especially<br />

after surgery. In clinical practice a double dose of nadroparin<br />

for thrombosis prophylaxis is often used in (morbidly) obese patients,<br />

aBsTraCTs<br />

without proper pharmacodyn<strong>am</strong>ic studies. The aim of this study was<br />

to develop a population pharmacodyn<strong>am</strong>ic (PD) model of nadroparin<br />

administered for thrombotic prophylaxis in morbidly obese patients,<br />

using anti Xa-levels as a PD endpoint.<br />

METHODS: In a prospective study in morbidly obese patients<br />

undergoing bariatric surgery, 57<strong>00</strong> IU nadroparin was administered<br />

subcutaneously at induction of anesthesia. Until 24 hours after administration,<br />

11 s<strong>am</strong>ples per patient were collected for chromogenic<br />

anti-Xa level measurement. Population PD modeling was developed<br />

using NONMEM VI. A step-wise covariate analysis was performed<br />

using total body weight (TBW), lean body weight (LBW), ideal body<br />

weight, BMI, age, sex, creatinine and bilirubin.<br />

RESULTS: Data of 20 morbidly obese patients with a median total<br />

body weight of 144 kg (range 112 - 260 kg) and a median lean body<br />

weight of 66 kg (range 54 - 1<strong>00</strong> kg) were best described by a twocompartment<br />

pharmacodyn<strong>am</strong>ic disposition model. Lean body weight<br />

was the most predictive covariate for volume of distribution (Vss = 12.6<br />

L * (LBW/66) 1.5 ) while total body weight proved to be the most predictive<br />

covariate for clearance (CL = 47.6 mL/min *(TBW/144) 1.5 . The<br />

delay in pharmacodyn<strong>am</strong>ic effect of nadroparin was adequately characterized<br />

using a transit compartment with a mean transit rate constant of<br />

0.<strong>00</strong>6 min -1 and a mean absorption rate constant of 0.022 min -1 ).<br />

CONCLUSION: A population pharmacodyn<strong>am</strong>ic model for<br />

nadroparin in morbidly obese patients was developed using anti-Xa<br />

levels as endpoint. As lean bodyweight proved the most predictive<br />

covariate for volume of distribution, further study on dose adjustment<br />

based on lean body weight in morbidly obese patients should be considered.<br />

<strong>PI</strong>-55<br />

DEVELOPMENTAL PHARMACOKINETICS OF PROPYLENE<br />

GLYCOL IN PRETERM AND TERM NEONATES. R. F. De Cock, 1<br />

K. Allegaert, 2 A. Kulo, 3 J. de Hoon, 2 R. Verbesselt, 2 M. Danhof, 1<br />

C. A. Knibbe 4 ; 1 Leiden University (LACDR), Leiden, Netherlands,<br />

2 University Hospital Leuven, Leuven, Belgium, 3 University of Sarajevo,<br />

Sarajevo, Bosnia Herzegovina and University Hospital Leuven,<br />

Leuven, Belgium, 4 Leiden University (LACDR), Leiden, Netherlands<br />

and St. Antonius Hospital, Nieuwegein, Netherlands. R.F. De Cock:<br />

None. K. Allegaert: None. A. Kulo: None. J. de Hoon: None.<br />

R. Verbesselt: None. M. Danhof: None. C.A. Knibbe: None.<br />

BACKGROUND: Propylene glycol (PG) is often used as a cosolvent<br />

in drug formulations such as phenobarbital and lorazep<strong>am</strong>. As<br />

these formulations may also be used in neonates, the aim of this study<br />

was to characterize the pharmacokinetics of propylene glycol when<br />

co-administered intravenously with paracet<strong>am</strong>ol (0.8 mg PG/mg paracet<strong>am</strong>ol)<br />

or phenobarbital (3.5 mg PG/mg phenobarbital) in (pre)term<br />

neonates.<br />

METHODS: A population pharmacokinetic analysis was performed<br />

based on 372 PG plasma concentrations following PG co-administration<br />

with paracet<strong>am</strong>ol or phenobarbital in 62 (pre)tem neonates (birth<br />

weight 630-3980 g, postnatal age 1-30 days) using NONMEM 6.2.<br />

The final model was used to simulate propylene glycol exposure upon<br />

administration of PG with different drug formulations in neonates<br />

(gestational age 24-40 weeks).<br />

RESULTS: In the one compartment model, birth weight (BWb)<br />

and postnatal age (PNA) were both identified as covariates for clearance<br />

using an allometric function (CL i = 0.0849 x {((BWb/2720) 1.69 )<br />

x ((PNA/3) 0.201 )}). Volume of distribution scaled allometricly with<br />

current bodyweight (V i = 0.967 x {((BW/2720) 1.45 )}), and was 1.77<br />

times higher in neonates receiving phenobarbital instead of paracet<strong>am</strong>ol.<br />

The final model shows that PG trough concentrations at steady<br />

state are expected to range between 19.8-109.3 and 6.4-56.1 mg/L for<br />

paracet<strong>am</strong>ol and phenobarbital formulations, respectively, depending<br />

on weight and age of the neonates. Even higher concentrations are<br />

expected when PG is co-administered with lopinavir/ritonavir (152.7<br />

mg PG/mL lopinavir/ritonavir solution) or lorazep<strong>am</strong> (414 mg PG/mg<br />

lorazep<strong>am</strong>) in currently used dosages.<br />

CliniCal pharmaCology & TherapeuTiCs | volume 91 supplemenT 1 | marCh 2012 s27


aBsTraCTs nature publishing group<br />

CONCLUSION: A pharmacokinetic model was developed for<br />

propylene glycol co-administered with paracet<strong>am</strong>ol or phenobarbital<br />

in (pre)term neonates. This model may be used to simulate propylene<br />

glycol concentrations upon PG administration with paracet<strong>am</strong>ol or<br />

phenobarbital, and potentially other drugs in neonates.<br />

<strong>PI</strong>-56<br />

EXTRAPOLATION OF THE DEVELOPMENTAL GLOMERU-<br />

LAR FILTRATION RATE MODEL DERIVED FROM AMIKACIN<br />

CLEARANCE TO NETILMICIN AND VANCOMYCIN IN PRE-<br />

TERM AND TERM NEONATES. R. F. De Cock, 1 K. Allegaert, 2<br />

C. M. Sherwin, 3 M. de Hoog, 4 J. N. van den Anker, 5 M. Danhof, 1<br />

C. A. Knibbe 6 ; 1 Leiden University (LACDR), Leiden, Netherlands,<br />

2 University Hospital Leuven, Leuven, Belgium, 3 University of Utah<br />

School of Medicine, Salt Lake City, UT, 4 Erasmus MC - Sophia Children’s<br />

Hospital, Rotterd<strong>am</strong>, Netherlands, 5 Erasmus MC - Sophia<br />

Children’s Hospital, Rotterd<strong>am</strong>, Netherlands and Children’s National<br />

Medical Center, Washington, WA, 6 Leiden University (LACDR), Leiden,<br />

Netherlands and St. Antonius Hospital, Nieuwegein, Netherlands.<br />

R.F. De Cock: None. K. Allegaert: None. C.M. Sherwin: None.<br />

M. de Hoog: None. J.N. van den Anker: None. M. Danhof: None.<br />

C.A. Knibbe: None.<br />

BACKGROUND: The aim of this study was to evaluate whether<br />

the developmental glomerular filtration rate (GFR) model derived from<br />

<strong>am</strong>ikacin clearance [1] can be used to describe maturation in clearance<br />

of other renally excreted antibiotics such as netilmicin and vancomycin<br />

in (pre)term neonates.<br />

METHODS: For netilmicin and vancomycin, 386 and 752 concentrations<br />

were available from 97 (BWb 470-3<strong>00</strong>0g, PNA 1-30 days)<br />

and 273 (BWb 385-2550g, PNA 1-30 days) neonates, respectively. A<br />

pharmacokinetic model was developed for both drugs using the developmental<br />

GFR model [1] and on the basis of a comprehensive covariate<br />

model. The descriptive and predictive performance of models developed<br />

using the two approaches were compared.<br />

RESULTS: For netilmicin and vancomycin, the developmental GFR<br />

model derived from <strong>am</strong>ikacin clearance resulted in adequate goodness of<br />

fit plots (figure). Visual inspection showed no differences with goodness<br />

of fit plots obtained with the comprehensive covariate models, although<br />

the objective function was 5 (p


nature publishing group<br />

discussion, or the product is still investigational; Company/Drug;<br />

MLTA3698A. B. Emu: 1. This research was sponsored by; Company/<br />

Drug; Genentech Inc. 6. I will be discussing the following product,<br />

which is not labeled for the use under discussion, or the product is<br />

still investigational; Company/Drug; MLTA3698A. M. Tang: 1. This<br />

research was sponsored by; Company/Drug; Genentech Inc. 6. I will<br />

be discussing the following product, which is not labeled for the use<br />

under discussion, or the product is still investigational; Company/<br />

Drug; MLTA3698A. J.F. Visich: 1. This research was sponsored by;<br />

Company/Drug; Genentech Inc. 6. I will be discussing the following<br />

product, which is not labeled for the use under discussion, or the product<br />

is still investigational; Company/Drug; MLTA3698A.<br />

BACKGROUND: MLTA3698A is a humanized monoclonal antibody<br />

against lymphotoxin-α (LTα), a transiently expressed cytokine<br />

on activated B and T cells implicated in rheumatoid arthritis (RA)<br />

pathogenesis. In this study, pharmacokinetics (PK) and pharmacodyn<strong>am</strong>ics<br />

(PD) of MLTA3698A were characterized in RA patients.<br />

METHODS: This Phase I, randomized, double blinded, placebocontrolled<br />

study consisted of a single ascending dose phase at 0.3-5<br />

mg/kg IV, 1 or 3 mg/kg SC (n=30) and a multiple ascending dose<br />

phase at 1 or 3 mg/kg SC or 5 mg/kg IV every 2 weeks for 3 doses<br />

(n=35). Serum s<strong>am</strong>ples were analyzed for MLTA3698A, soluble LTα<br />

(sLTα), CXCL13 and anti-therapeutic antibodies (ATAs). A population<br />

PK-PD model was developed to characterize the PK properties<br />

of MLTA3698A, and relationships between PK and PD outcomes of<br />

sLTα and CXCL13.<br />

RESULTS: MLTA3698A PK data were adequately described by a<br />

2-compartment model with first-order SC absorption. The estimated<br />

clearance and central distribution volume were 454 mL/day and 3.96<br />

L, respectively, and the SC bioavailability was 42.7%. Preliminary<br />

covariate analysis indicated that body weight was not a significant covariate<br />

of PK, supporting flat dosing. ATAs were detected post-dose in<br />

7 of 52 patients treated with MLTA3698A with no consistent effect on<br />

PK. Dose dependent increases in total sLTα were observed, consistent<br />

with the increased half-life of sLTa upon binding to drug, as confirmed<br />

by PKPD modeling. Decreases in CXCL13, a chemokine associated<br />

with RA disease activity and induced downstre<strong>am</strong> of LTbR signaling,<br />

were observed at MLTA3698A doses ≥ 1 mg/kg. PK-PD modeling<br />

using an indirect response model estimated ~50% maximum CXCL13<br />

suppression and an IC50 of ~0.9 μg/mL.<br />

CONCLUSION: MLTA3698A exhibited linear PK with 42.7%<br />

SC bioavailability. MLTA3698A demonstrated target binding as evidenced<br />

by the accumulation of total sLTα and pharmacological activity<br />

as indicated by the suppression of the PD biomarker CXCL13.<br />

<strong>PI</strong>-59<br />

THE SINGLE DOSE PHARMACOKINETIC (PK) AND PHAR-<br />

MACODYNAMIC (PD) PROFILES OF SUVOREXANT (MK-4305),<br />

A DUAL OREXIN RECEPTOR ANTAGONIST, IN HEALTHY<br />

MALE SUBJECTS. H. Sun, 1 D. Kennedy, 2 N. Lewis, 1 T. Laethem, 3<br />

K. Yee, 4 X. Li, 1 J. Hoon, 5 L. Van Bortel, 6 L. Rosen, 1 J. Chodakewitz, 1<br />

J. Wagner, 7 G. Murphy 1 ; 1 Merck, North Wales, PA, 2 Genentech, South<br />

San Francisco, CA, 3 Merck, Brussels, Belgium, 4 Merck, West Point,<br />

PA, 5 U.Z. Gasthuisberg, Center for Clinical Pharmacology, Leuven,<br />

Belgium, 6 U.Z. Gent, Drug Research Unit Gent, Gent, Belgium,<br />

7 Merck, Rahway, NJ. H. Sun: 1. This research was sponsored by;<br />

Company/Drug; Merck. 2. I <strong>am</strong> a paid consultant/employee for;<br />

Company/Drug; Merck. 6. I will be discussing the following product,<br />

which is not labeled for the use under discussion, or the product is still<br />

investigational; Company/Drug; suvorexant. D. Kennedy: 2. I <strong>am</strong> a<br />

paid consultant/employee for; Company/Drug; Genentech. N. Lewis:<br />

2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; Merck.<br />

T. Laethem: 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug;<br />

Merck. K. Yee: 2. I <strong>am</strong> a paid consultant/employee for; Company/<br />

Drug; Merck. X. Li: 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug;<br />

Merck. J. Hoon: 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Merck. L. Van Bortel: 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Merck. L. Rosen: 2. I <strong>am</strong> a paid<br />

aBsTraCTs<br />

consultant/employee for; Company/Drug; Merck. J. Chodakewitz:<br />

2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; Merck.<br />

J. Wagner: 2. I <strong>am</strong> a paid consultant/employee for; Company/<br />

Drug; Merck. G. Murphy: 2. I <strong>am</strong> a paid consultant/employee for;<br />

Company/ Drug; Merck.<br />

BACKGROUND: Orexin neuropeptides play a critical role in regulating<br />

the transition between wake and sleep. Suvorexant (MK-4305),<br />

a potent dual orexin receptor antagonist, represents a potentially new<br />

approach to treating insomnia.<br />

METHODS: This was a multi-part first-in-human study of suvorexant<br />

in healthy young men. Part I was a single rising-dose study to<br />

evaluate the safety, tolerability, and PK of suvorexant (n=16). Part II<br />

was a 4-period crossover study to evaluate the effects of suvorexant on<br />

quantitative EEG (qEEG) (n=12).<br />

RESULTS: Suvorexant was generally well tolerated in healthy<br />

young men up to 120mg with the most frequently reported adverse<br />

experience being somnolence. Following AM administration, suvorexant<br />

was rapidly absorbed with a median T max of 1.0-2.0-hour and<br />

apparent terminal T 1/2 of 8.5-15-hours. Night-time administration did<br />

not affect AUC 0-∞ , but slightly decreased C max and median T max was<br />

delayed by 1-hour. The increases on AUC 0-∞ and Cmax appeared less<br />

than dose proportional from 4 to 120mg. There was a dose-dependent<br />

increase in sleepiness on Karolinska sleepiness scale and decrease in<br />

alertness on Bond-Lader VAS, which were consistent with the desired<br />

PD effects. Following AM administration of 20 and 80mg, suvorexant<br />

produced a dose-dependent increase in delta power spectral density on<br />

qEEG suggesting sleep promoting effects. These effects disappeared at<br />

8 and 12-hour post-dose indicating no long-lasting effect which may<br />

cause next-day residual effects.<br />

CONCLUSION: Suvorexant was well tolerated and demonstrated<br />

PK and PD profiles supporting its development as a hypnotic.<br />

<strong>PI</strong>-60<br />

NO ADVERSE IMPACT OF REPEATED ORAL DOSES OF<br />

TERIFLUNOMIDE ON THE PHARMACOKINETICS OF ORAL<br />

CONTRACEPTIVE STEROIDS (ETHINYLESTRADIOL AND<br />

LEVONORGESTREL) IN YOUNG HEALTHY FEMALE SUB-<br />

JECTS. S. Turpault, 1 B. Miller, 1 F. Menguy-Vacheron 2 ; 1 Sanofi-<br />

Aventis, Bridgewater, NJ, 2 Sanofi-Aventis, Chilly-Mazarin, France.<br />

S. Turpault: None. B. Miller: None. F. Menguy-Vacheron: None.<br />

BACKGROUND: Teriflunomide is a novel oral disease modifier in<br />

development for relapsing forms of multiple sclerosis (RMS). The aim<br />

of this study was to assess the effect of teriflunomide on pharmacokinetic<br />

(PK) of oral contraceptive combination, ethinylestradiol (ETH)<br />

and levonorgestrel (LEV). Safety was also evaluated.<br />

METHODS: 24 young healthy females were enrolled in a 2-period,<br />

2-treatment study. Period 1 (Days 1-21) comprised daily treatment with<br />

Minidril ® (0.03 mg ETH and 0.15 mg LEV) followed by a 7-day washout.<br />

During Period 2, subjects received Minidril ® (Days 1-21) and teriflunomide<br />

(Days 8-21; 70 mg/day for 4 days followed by 14 mg/day<br />

for 10 days). This was followed by 11 days of cholestyr<strong>am</strong>ine, which<br />

accelerates the elimination of teriflunomide. Plasma concentrations of<br />

ETH, LEV and teriflunomide were determined using validated methods.<br />

PK par<strong>am</strong>eters were calculated. Safety evaluations were based on<br />

clinical laboratory tests, vital signs and ECG par<strong>am</strong>eters.<br />

RESULTS: Teriflunomide administration resulted in 1.58- and<br />

1.54-fold increases in C max and AUC 0-24 of ETH, respectively. Similarly,<br />

teriflunomide administration resulted in 1.33- and 1.41-fold<br />

increases in C max and AUC 0-24 of LEV, respectively. No serious treatment-emergent<br />

adverse events (TEAEs) were reported and no subject<br />

discontinued treatment due to TEAEs. 9/24 subjects treated with Minidril<br />

® alone experienced TEAEs (mainly nasopharyngitis (5 subjects)<br />

and headache (3 subjects), while 8/23 subjects receiving teriflunomide<br />

and Minidril ® concomitantly reported TEAEs of nervous system disorders<br />

(5 subjects: mostly headache) and gastrointestinal disorders<br />

(4 subjects).<br />

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CONCLUSION: Teriflunomide was safe and well tolerated when<br />

given with Minidril ® . A modest increase (< 1.6-fold) in ETH and LEV<br />

exposure was observed when coadministered to teriflunomide; therefore,<br />

teriflunomide is not expected to adversely impact the efficacy of<br />

oral contraceptives.<br />

<strong>PI</strong>-61<br />

GENOTYPE-BASED IN VITRO-IN VIVO EXTRAPOLATION<br />

(IVIVE) OF EFAVIRENZ PHARMACOKINETICS USING A PHYS-<br />

IOLOGICALLY-BASED PHARMACOKINETIC MODEL. C. Xu, 1<br />

S. Quinney, 2 Y. Guo, 3 Z. Desta 1 ; 1 Division of Clinical Pharmacology,<br />

Indiana University School of Medicine, Indianapolis, IN, 2 Department<br />

of Obstetrics and Gynecology, Indiana University School of Medicine,<br />

Indianapolis, IN, 3 Drug Disposition, Lilly Research Laboratories,<br />

Indianapolis, IN. C. Xu: None. S. Quinney: None. Y. Guo: None. Z.<br />

Desta: None.<br />

BACKGROUND: The CYP2B6*6 allele is significantly associated<br />

with reduced efavirenz metabolism. We developed a physiologicallybased<br />

pharmacokinetic model (PBPK) for in vitro-in vivo extrapolation<br />

(IVIVE) of efavirenz pharmacokinetics using in vitro data.<br />

METHODS: Cl int for efavirenz 7- and 8-hydroxylation was estimated<br />

from human liver microsomes (HLMs) genotyped for CYP2B6*6<br />

allele (n=5 for each genotype), expressed CYP2B6.1 and CYP2B6.6.<br />

Efavirenz pharmacokinetics of 1<strong>00</strong>0 virtual healthy subjects was simulated<br />

using Cl int for individual HLMs and expressed enzymes by Simcyp<br />

® Population-based Simulator (Version 11). Simulated efavirenz<br />

pharmacokinetics for individuals with each genotype were compared to<br />

the pharmacokinetics of a single 6<strong>00</strong> mg oral dose of efavirenz administered<br />

to healthy volunteers genotyped for CYP2B6*6 allele (n=20).<br />

RESULTS: The observed and predicted T max , C max , AUC 0-72h and<br />

CL po are shown in the Table. Most measured efavirenz concentrationtime<br />

profiles were within 5th and 95th percentile of concentrations<br />

simulated by a full PBPK model with compartmental absorption transit<br />

model for each genotype. All the predicted pharmacokinetic par<strong>am</strong>eters<br />

were within 2-fold of observed values. CYP2B6*6/*6 was associated<br />

with lower CL po (40~70 %) and higher AUC 0-72h (10~20 %)<br />

compared to wild type.<br />

CONCLUSION: This PBPK model may be valuable for predicting<br />

the impact of CYP2B6 variants on pharmacokinetics from in vitro Cl int<br />

data. Further refinement of this model is ongoing.<br />

Table: Clinical and simulated pharmacokinetic par<strong>am</strong>eters for a single 6<strong>00</strong> mg<br />

oral dose of efavirenz<br />

T max (h) C max (mg/L) AUC 0-72h (mg/L•h) CL po (L/h)<br />

In vitro<br />

System<br />

Observed Predicted Observed Predicted Observed Predicted Observed Predicted<br />

CYP2B6<br />

*1/*1<br />

HLM<br />

2.3±1.0 2.0±0.4 2.3±0.7 1.79±0.39 45.9±16.7 35.0±15.8 8.5±3.4 9.65±23.3<br />

CYP2B6.1 2.1±0.4 1.90± 0.3 37.2±13.2 4.4±3.3<br />

CYP2B6<br />

*1/*6<br />

HLM<br />

2.6±1.7 2.1±0.41 1.7±0.5 1.86±0.34 40.7±12.2 37.7±15.0 8.3± 2.8 5.3±9.1<br />

CYP2B6<br />

*6/*6<br />

HLM<br />

2.7±1.5 2.1±0.4 2.4±0.2 1.90±0.3 57.3±4.1 41.8±14.5 5.9± 0.5 2.2±2.1<br />

CYP2B6.6 2.1±0.41 1.90±0.31 39.5±13.7 3.1±2.1<br />

All the value presented as mean±S.D.<br />

<strong>PI</strong>-62<br />

POPULATION PHARMACOKINETICS OF SM-26<strong>00</strong>0, LIPO-<br />

SOMAL AMPHOTERICIN B, IN JAPANESE PEDIATRIC PATIENTS<br />

WITH INVASIVE FUNGAL INFECTION. Y. Ohata, 1 Y. Tomita, 1 K.<br />

Suzuki, 1 T. Maniwa, 1 Y. Yano, 2 K. Sunakawa 3 ; 1 Dainippon Sumitomo<br />

Pharma Co., Ltd., Osaka, Japan, 2 Kyoto Pharmaceutical University,<br />

Kyoto, Japan, 3 Kitasato University, Tokyo, Japan. Y. Ohata: 2. I <strong>am</strong> a<br />

paid consultant/employee for; Company/Drug; Dainippon Sumitomo<br />

Pharma Co., Ltd. Y. Tomita: 2. I <strong>am</strong> a paid consultant/employee for;<br />

Company/Drug; Dainippon Sumitomo Pharma Co., Ltd. K. Suzuki: 2.<br />

I <strong>am</strong> a paid consultant/employee for; Company/Drug; Dainippon Sumitomo<br />

Pharma Co., Ltd. T. Maniwa: 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Dainippon Sumitomo Pharma Co., Ltd. Y. Yano:<br />

2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; Dainippon<br />

Sumitomo Pharma Co., Ltd. K. Sunakawa: 2. I <strong>am</strong> a paid consultant/<br />

employee for; Company/Drug; Dainippon Sumitomo Pharma Co., Ltd.<br />

BACKGROUND: SM-26<strong>00</strong>0 was the encapsulation of Amphotericin<br />

B (AMB) into liposomes (L-AMB). Though antifungal efficacy of AMB<br />

encompasses a broad spectrum of medically important fungal pathogens,<br />

its toxicity was a great problem. The reduced toxicity of the liposomal<br />

formulation allows for the administration of much higher doses of AMB<br />

than can be safely administered when given as conventional AMB, leading<br />

to the expanding therapeutic potential of L-AMB. The objectives of<br />

this study were to develop a population pharmacokinetic (PK) model of<br />

AMB and to simulate PK profiles and to calculate C max,ss /MIC which is<br />

a pharmacokinetic/pharmacodyn<strong>am</strong>ic par<strong>am</strong>eter.<br />

METHODS: The PK data at once-daily doses of L-AMB 1.0 mg,<br />

2.5 mg, and 5.0 mg were available. L-AMB was administered by<br />

infusion for 60-120 min. In totality 159 serum concentrations from<br />

39 pediatric patients with invasive fungal infection who were enrolled<br />

in a post-marketing clinical study conducted in Japan were used for<br />

population PK analysis. Model suitability for simulation was confirmed<br />

by visual predictive check based on the 95% prediction intervals which<br />

were calculated using highest posterior density (HPD) region method.<br />

RESULTS: The AMB plasma concentration - time data in Japanese<br />

pediatric patients was described by a two-compartment pharmacokinetics<br />

model with zero-order input and first-order elimination. Among<br />

the candidates for covariates, body weight showed a significant correlation<br />

with CL and Vc. The 95% prediction intervals of inter-individual<br />

variability of virtual patients were consistent with observed values. As<br />

bacterial strains were isolated from some patients, C max,ss /MIC was<br />

estimated as 0.7-33.8, using MIC of each isolate against L-AMB.<br />

CONCLUSION: The development of this population PK model for<br />

L-AMB supported individual subject exposure estimation for population<br />

PK/PD efficacy and safety analysis in the post-marketing clinical study.<br />

<strong>PI</strong>-63<br />

LOW DENSITY LIPOPROTEIN (LDL-C) EXPOSURE-<br />

RESPONSE ANALYSIS FOR TOFACITINIB (CP-690,550) IN<br />

PATIENTS WITH RHEUMATOID ARTHRITIS. S. P. Riley, M. G.<br />

Boy, R. Riese, S. Krishnasw<strong>am</strong>i; Pfizer, Inc, Groton, CT. S.P. Riley:<br />

1. This research was sponsored by; Company/Drug; Pfizer Inc. 2. I <strong>am</strong><br />

a paid consultant/employee for; Company/Drug; Pfizer Inc. 5. I <strong>am</strong><br />

a significant stockholder for; Company/Drug; Pfizer Inc. 6. I will be<br />

discussing the following product, which is not labeled for the use under<br />

discussion, or the product is still investigational; Company/Drug;<br />

Tofacitinib (CP-690,550). M.G. Boy: 1. This research was sponsored<br />

by; Company/Drug; Pfizer Inc. 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Pfizer Inc. 5. I <strong>am</strong> a significant stockholder for;<br />

Company/Drug; Pfizer Inc. 6. I will be discussing the following product,<br />

which is not labeled for the use under discussion, or the product<br />

is still investigational; Company/Drug; Tofacitinib (CP-690,550).<br />

R. Riese: 1. This research was sponsored by; Company/Drug;<br />

Pfizer Inc. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug;<br />

Pfizer Inc. 6. I will be discussing the following product, which is not<br />

labeled for the use under discussion, or the product is still investigational;<br />

Company/Drug; Tofacitinib (CP-690,550). S. Krishnasw<strong>am</strong>i:<br />

1. This research was sponsored by; Company/Drug; Pfizer Inc. 2. I <strong>am</strong><br />

a paid consultant/employee for; Company/Drug; Pfizer Inc. 5. I <strong>am</strong><br />

a significant stockholder for; Company/Drug; Pfizer Inc. 6. I will be<br />

discussing the following product, which is not labeled for the use under<br />

discussion, or the product is still investigational; Company/Drug;<br />

Tofacitinib (CP-690,550).<br />

BACKGROUND: Tofacitinib (CP-690,550) is an oral Janus kinase<br />

(JAK) inhibitor currently in development for treatment of rheumatoid<br />

arthritis (RA). Objectives were to characterize the relationship<br />

between tofacitinib exposure and changes in LDL-c and explore covariate<br />

effects on the exposure-response (ER) relationship.<br />

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nature publishing group<br />

METHODS: LDL-c data from 5 double-blind Phase 2 studies<br />

investigating the efficacy and safety of 1-30 mg BID tofacitinib and<br />

placebo in patients with RA were pooled and analyzed using NON-<br />

MEM 6.2. The ER relationship was described using a longitudinal,<br />

nonlinear mixed-effects model. The structural model form was an indirect<br />

response model with tofacitinib inhibiting the LDL-c elimination<br />

rate. Results were compared with observations from Phase 3 and long<br />

term extension (LTE) studies.<br />

RESULTS: The analysis included 1474 patients with 6<strong>106</strong> LDL-c<br />

observations. The model estimated a steady-state ED 50 of 3.6 mg<br />

BID. Mean maximal LDL-c increases were predicted to be reached in<br />

approximately 5 weeks, with no evidence of a progressive increase for<br />

treatment durations of up to 3 years in LTE studies. Covariate analysis<br />

suggested that age, body weight, diabetic status, and race influenced<br />

baseline LDL-c. Subjects with hyperlipidemia at baseline showed<br />

smaller maximal increases (E max ) in LDL-c compared to patients with<br />

normal baseline. Subjects achieving ≥ 50% improvement in signs and<br />

symptoms of RA (American College of Rheumatology (ACR) 50)<br />

showed modestly larger E max compared to those who did not. Consistent<br />

with Phase 3 study observations, doses of 5 mg and 10 mg BID<br />

tofacitinib were estimated to have mean (90% CI) LDL-c increases<br />

from baseline of 13.4% (9.3-17.8) and 18.1% (12.9-24.9) respectively,<br />

at steady state.<br />

CONCLUSION: Model predictions based on Phase 2 study data<br />

suggest that the time course and magnitude of LDL-c increases following<br />

treatment with tofacitinib in RA patients are predictable and<br />

concordant with Phase 3 and LTE study observations.<br />

<strong>PI</strong>-64<br />

A PHASE 1 STUDY TO ESTIMATE THE EFFECT OF KETO-<br />

CONAZOLE ON THE PHARMACOKINETICS OF TOFACITINIB<br />

(CP-690,550) IN HEALTHY VOLUNTEERS. P. Gupta, 1 R. Wang, 1<br />

I. Kaplan, 1 C. W. Alvey, 1 M. Ndongo, 2 S. Krishnasw<strong>am</strong>i 1 ; 1 Pfizer<br />

Inc, Groton, CT, 2 Pfizer Clinical Research Unit, Brussels, Belgium.<br />

P. Gupta: 1. This research was sponsored by; Company/Drug; Pfizer<br />

Inc. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; Pfizer<br />

Inc. 5. I <strong>am</strong> a significant stockholder for; Company/Drug; Pfizer Inc.<br />

6. I will be discussing the following product, which is not labeled<br />

for the use under discussion, or the product is still investigational;<br />

Company/ Drug; Tofacitinib (CP-690,550). R. Wang: 1. This research<br />

was sponsored by; Company/Drug; Pfizer Inc. 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Pfizer Inc. 6. I will be discussing<br />

the following product, which is not labeled for the use under discussion,<br />

or the product is still investigational; Company/Drug; Tofacitinib<br />

(CP-690,550). I. Kaplan: 1. This research was sponsored by;<br />

Company/Drug; Pfizer Inc. 2. I <strong>am</strong> a paid consultant/employee for;<br />

Company/Drug; Pfizer Inc. 6. I will be discussing the following product,<br />

which is not labeled for the use under discussion, or the product<br />

is still investigational; Company/Drug; Tofacitinib (CP-690,550).<br />

C.W. Alvey: 1. This research was sponsored by; Company/Drug;<br />

Pfizer Inc. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug;<br />

Pfizer Inc. 5. I <strong>am</strong> a significant stockholder for; Company/Drug;<br />

Pfizer Inc as part of my employee 401 (K) benefit. 6. I will be discussing<br />

the following product, which is not labeled for the use under<br />

discussion, or the product is still investigational; Company/Drug;<br />

Tofacitinib (CP-690,550). M. Ndongo: 1. This research was sponsored<br />

by; Company/ Drug; Pfizer Inc. 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Pfizer Inc. 6. I will be discussing the following<br />

product, which is not labeled for the use under discussion, or the product<br />

is still investigational; Company/Drug; Tofacitinib (CP-690,550).<br />

S. Krishnasw<strong>am</strong>i: 1. This research was sponsored by; Company/Drug;<br />

Pfizer Inc. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug;<br />

Pfizer Inc. 5. I <strong>am</strong> a significant stockholder for; Company/Drug; Pfizer<br />

Inc. 6. I will be discussing the following product, which is not labeled<br />

for the use under discussion, or the product is still investigational;<br />

Company/ Drug; Tofacitinib (CP-690,550).<br />

BACKGROUND: Tofacitinib (CP-690,550) is an oral Janus<br />

kinase (JAK) inhibitor currently in development for the treatment<br />

aBsTraCTs<br />

of several infl<strong>am</strong>matory diseases including rheumatoid arthritis and<br />

psoriasis. The objective of this study was to estimate the effect of<br />

ketoconazole oral administration on the PK of a single 10 mg oral<br />

dose of tofacitinib.<br />

METHODS: This study was an open label, single fixed sequence<br />

study (A3921054; NCT01202240) in 12 healthy male subjects who<br />

received: (a) single dose oral tofacitinib 10 mg in Period 1 and (b)<br />

single dose oral tofacitinib 10 mg following 3 days of ketoconazole<br />

(4<strong>00</strong> mg qd) treatment in Period 2. Tofacitinib PK s<strong>am</strong>ples were<br />

collected prior to dosing (0 hours) and post-dose at 0.5, 1, 2, 4, 6, 8,<br />

12, 16, and 24 hours in Periods 1 (Days 1) and 2 (Days 3 and 4). PK<br />

par<strong>am</strong>eters were calculated using noncompartmental analysis. The<br />

interactive effect on PK par<strong>am</strong>eters was determined by analysis of<br />

variance which was used to calculate adjusted geometric mean ratios<br />

for test/reference (coadministration/tofacitinib alone) and the associated<br />

90% confidence intervals.<br />

RESULTS: Coadministration with ketoconazole increased AUC inf<br />

and C max by 103%, and 16%, respectively. The ratio of adjusted geometric<br />

means was 203.23% (90% CI: 190.96%, 216.30%) for AUCinf<br />

and 116.24% (90% CI: 104.59%, 129.18%) for Cmax. Mean terminal<br />

t1/2 increased from 2.9 hours for tofacitinib alone to 3.9 hours for<br />

tofacitinib with ketoconazole. Median Tmax increased from 0.5 hours<br />

for tofacitinib alone to 1.0 hours with ketoconazole.<br />

CONCLUSION: The observed approximate doubling of tofacitinib<br />

AUCinf with ketoconazole is consistent with predictions from in-vitro<br />

data (~55% contribution by CYP3A4-mediated metabolism to total<br />

clearance) and suggests that tofacitinib dose may need to be adjusted<br />

or restricted when coadministered with ketoconazole.<br />

<strong>PI</strong>-65<br />

NONLINEAR MIXED-EFFECTS MODELING OF THE INTER-<br />

SPECIES PHARMACOKINETIC SCALING OF CEFADROXIL<br />

AFTER ORAL AND INTRAVENOUS BOLUS ADMINISTRATION.<br />

M. M. Posada, D. Smith, M. Feng; University of Michigan, Ann Arbor,<br />

MI. M.M. Posada: None. D. Smith: None. M. Feng: None.<br />

BACKGROUND: The purpose of this study was to use an allometric<br />

scaling approach to predict human pharmacokinetic par<strong>am</strong>eters<br />

of cefadroxil using animal pharmacokinetic data after oral and bolus<br />

I.V. dosing. Cefadroxil, a first generation cephalosporin, has high bioavailability<br />

and is excreted unchanged in urine. Its absorption and<br />

elimination are dependent on transporters, such as PEPT1 in the small<br />

intestine, and PEPT2 and OATs in the kidney.<br />

METHODS: The pharmacokinetic data used in this work were collected<br />

from the literature (mouse, rat, and horse) and from our own<br />

experiments performed in wild-type mice. The data were analyzed<br />

using different models, and the best one was chosen based on the goodness<br />

of fit. The data were pooled together and analyzed using mixedeffects<br />

modeling (NONMEM), and the results obtained were validated<br />

using a set of human data obtained from the literature.<br />

RESULTS: The pharmacokinetics of cefadroxil is best described<br />

by one-compartment model following I.V. or oral administration.. The<br />

allometry predicted human clearance (CL or CL/F), volume of distribution<br />

(V or V/F) and absorption rate constant (ka) were within 2-fold<br />

of the literature values. The maximum lifespan potential and/or body<br />

weight were used as covariates in the allometry model. Different error<br />

models were compared, and a proportional error model was selected<br />

based on the statistics. The predicted human CL and V are 101 ml/<br />

min and 36.7 L, respectively, based on IV dose data from mice, rats,<br />

and foals. However, only the mouse data were used for the prediction<br />

of human oral PK because the absorption in rats and foals was significantly<br />

slower compared to humans and mice. The predicted human<br />

CL/F, V/F, and ka were 215 mL/min, 31.3 L, and 0.03min -1 , respectively.<br />

CONCLUSION: Our models allowed a good prediction of the<br />

pharmacokinetic par<strong>am</strong>eters of cefadroxil in humans showing that<br />

interspecies scaling is a useful tool in the extrapolation from animals<br />

to humans.<br />

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<strong>PI</strong>-66<br />

SIMULTANEOUS PHARMACOKINETIC MODELING OF<br />

WR-<strong>106</strong>5 IN BLOOD AND TISSUES USING NONLINEAR MIXED<br />

EFFECTS MODELING AND EXTRAPOLATION FROM RATS TO<br />

HUMANS WITH BODY WEIGHT AS A COVARIATE. M. R. Feng, 1<br />

X. Chen, 1 M. Hutchmatt, 2 Z. Lu, 3 B. Yang, 1 D. Smith 1 ; 1 University of<br />

Michigan, Ann Arbor, MI, 2 The Ann Arbor Pharmacometrics Group,<br />

Ann Arbor, MI, 3 AstraZeneca Pharmaceuticals, Wilmington, DE.<br />

M.R. Feng: None. X. Chen: None. M. Hutchmatt: None. Z. Lu:<br />

None. B. Yang: None. D. Smith: None.<br />

BACKGROUND: Amifostine is a thiophosphate prodrug selectively<br />

protecting normal tissues and used in several clinical trials for<br />

protecting normal tissues. Amifostine is rapidly metabolized in the<br />

body and converted to its active metabolite (WR-<strong>106</strong>5) by alkaline<br />

phosphatase. Since the metabolite WR-<strong>106</strong>5 is mainly associated with<br />

the key cytoprotective effects, the objective of our study is to develop a<br />

population pharmacokinetic (PK) model for simultaneous quantitation<br />

of WR-<strong>106</strong>5 in blood, liver and tumor tissues in rats and to extrapolate<br />

the model to humans to assist the prediction of WR-<strong>106</strong>5 concentration-time<br />

profile in blood and key human tissues associated with efficacy<br />

or adverse effects to help optimize the dose and dose-regimen in<br />

clinical therapy.<br />

METHODS: Human blood s<strong>am</strong>ples were collected from cancer<br />

patients treated with liver radiation and intravenous <strong>am</strong>ifostine. Rat<br />

blood and tissue s<strong>am</strong>ples were collected following intravenous doses<br />

of <strong>am</strong>ifostine to rats with intrahepatic tumor. Pharmacokinetic modeling<br />

was performed using Nonlinear Mixed Effects Modeling (NON-<br />

MEM).<br />

RESULTS: WR-<strong>106</strong>5 PK profiles in rats are best described by a<br />

4-compartment model with predicted values similar to the actual concentrations<br />

in blood, liver, and tumor. The extrapolation from rat to<br />

human was successfully performed using body weight as a covariate<br />

and the predicted PK profiles are highly correlated with the actual<br />

blood levels.<br />

CONCLUSION: NONMEM was successfully applied to the simultaneous<br />

modeling of WR-<strong>106</strong>5 in blood and tissues in rats and the<br />

extrapolation from animals to humans.<br />

<strong>PI</strong>-67<br />

CHARACTERIZATION OF THE RELATIONSHIP BETWEEN<br />

I<strong>PI</strong>LIMUMAB EXPOSURE, TUMOR SIZE, AND SURVIVAL IN<br />

PREVIOUSLY UNTREATED NON-SMALL CELL LUNG CANCER<br />

PATIENTS. Y. Feng, 1 E. Masson, 1 D. Willi<strong>am</strong>s, 1 J. Song, 2 J. Cuillerot, 2<br />

A. Roy 1 ; 1 Bristol-Myers Squibb Co., Princeton, NJ, 2 Bristol-Myers<br />

Squibb Co., Wallingford, CT. Y. Feng: None. E. Masson: None.<br />

D. Willi<strong>am</strong>s: None. J. Song: None. J. Cuillerot: None. A. Roy: None.<br />

BACKGROUND: Ipilimumab is a fully human monoclonal<br />

antibody directed against cytotoxic T-lymphocyte antigen-4 that<br />

is approved in FDA, EU and Australia for treatment of advanced<br />

melanoma. It is also being developed for the treatment of other solid<br />

tumors. The analysis aims to investigate the relationships between<br />

ipilimumab exposure, tumor responses and overall survival (OS) in<br />

previously untreated Non-Small Cell lung cancer (NSCLC) patients.<br />

METHODS: The retrospective analysis was conducted with data<br />

from 187 NSCLC patients in a double-blinded, randomized Phase<br />

2 study (CA184041) of ipilimumab 10 mg/kg in combination with<br />

chemotherapy (paclitaxel/carboplatin) compared to chemotherapy<br />

alone. Longitudinal tumor size data was characterized by a par<strong>am</strong>etric<br />

mixed-effect model. The relationship between tumor shrinkage<br />

and OS was characterized by a par<strong>am</strong>etric survival model. The impact<br />

of ipilimumab schedule of administration/dose/exposure (Cminss<br />

and Cavgss) and the following covariates on model par<strong>am</strong>eters were<br />

assessed: ECOG status, baseline lactate dehydrogenase levels, percent<br />

of tumor size change from baseline at week 6, 8 and 12 (PT6, PT8 and<br />

PT12), and baseline tumor size.<br />

RESULTS: Tumor shrinkage rate was similar across all treatment<br />

arms, however, tumor progression rate was lower in patients who<br />

received ipilimumab contained therapy compared to those receiving<br />

chemotherapy alone. PT8 was a better predictor of OS than PT6<br />

and PT12. The risk of death decreased with higher tumor reduction<br />

(PT8), increased with increasing baseline tumor size, and was higher<br />

in patients with ECOG status > 0.<br />

CONCLUSION: Tumor progression appears to be slower in<br />

patients receiving ipilimumab and PT8 appears to be a good predictor<br />

of OS in immunotherapy of ipilimumab in NSCLC patients.<br />

<strong>PI</strong>-68<br />

INVESTIGATION OF THE ELIMINATION OF DABIGAT-<br />

RAN BY HAEMODIALYSIS IN PATIENTS WITH END STAGE<br />

RENAL DISEASE (ESRD). S. Haertter, 1 M. Trenmmel, 1 G. Nehmiz, 2<br />

K. Liesenfeld, 1 V. Moschetti, 1 H. Peters, 3 F. Wagner, 4 S. Formella 5 ;<br />

1 Boehringer Ingelheim Pharma, Translational Medicine, Germany,<br />

2 Boehringer Ingelheim Pharma, Biberach, Germany, 3 Department of<br />

Nephrology, Charite, Berlin, Germany, 4 Charite Research Organization,<br />

Berlin, Germany, 5 Boehringer Ingelheim Pharma, Ingelheim,<br />

Germany. S. Haertter: 1. This research was sponsored by; Company/<br />

Drug; Boehringer Ingelheim Pharma GmbH & Co. KG. 2. I <strong>am</strong> a paid<br />

consultant/employee for; Company/Drug; Boehringer Ingelheim<br />

Pharma GmbH & Co. KG. M. Trenmmel: 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Boehringer Ingelheim Pharma<br />

GmbH & Co. KG. G. Nehmiz: 2. I <strong>am</strong> a paid consultant/employee for;<br />

Company/ Drug; Boehringer Ingelheim Pharma GmbH & Co. KG.<br />

K. Liesenfeld: 2. I <strong>am</strong> a paid consultant/employee for; Company/<br />

Drug; Boehringer Ingelheim Pharma GmbH & Co. KG. V. Moschetti:<br />

2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; Boehringer<br />

Ingelheim Pharma GmbH & Co. KG. H. Peters: 1. This research was<br />

sponsored by; Company/Drug; Boehringer Ingelheim Pharma GmbH<br />

& Co. KG. F. Wagner: 1. This research was sponsored by; Company/<br />

Drug; Boehringer Ingelheim Pharma GmbH & Co. KG. S. Formella:<br />

2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; Boehringer<br />

Ingelheim Pharma gmbH & Co KG.<br />

BACKGROUND: Dabigatran etexilate (DE) is a pro-drug which<br />

is rapidly converted by esterases to the active moiety dabigatran (D),<br />

a direct thrombin inhibitor. D is cleared to > 80% renally and hence<br />

haemodialysis may be an approach to efficiently remove dabigatran<br />

from the body.<br />

METHODS: Open-label, fixed-sequence, 2-period trial with a<br />

wash-out phase of at least 6 weeks between treatments in 7 ESRD<br />

subjects who required regular haemodialysis . In each trial period, DE<br />

was administered at descending dosages of 150 mg, 110 mg and<br />

75 mg q.d. on days 1, 2, and 3, respectively. The dialysis was initiated<br />

8h after the morning dose on day 3 of each period, lasting for 4h with<br />

an increase in blood flow rate (BFR) from 2<strong>00</strong> mL/min (period 1) to<br />

4<strong>00</strong> mL/min (period 2). Plasma concentrations of total D (= D + active<br />

D-glucuronide) were measured by LC-MS/MS. Pharmacodyn<strong>am</strong>ic<br />

(PD) endpoints were activated partial thromboplastin time (aPTT) and<br />

Factor IIa inhibition. All PK, PD, and safety endpoints were analyzed<br />

using descriptive statistical methods.<br />

RESULTS: D geometric Mean, gMean, peak concentration at<br />

the days of dialysis were 176 ng/mL and 159 ng/mL in period 1 and<br />

2. He<strong>am</strong>odialysis resulted in a gMean reduction of total D concentration<br />

by 48.8% (gCV=10.9%) and 59.3% (gCV = 6.69%) in period 1<br />

and 2, respectively. An approximate doubling of the BFR increased<br />

dialysis clearance of total D from blood by approximately 50%<br />

(gMean 161 mL/min (gCV = 5.01%) vs. 241 mL/min (gCV = 3.08%).<br />

The re-distribution effect after dialysis was marginal (concentration<br />

post dialysis was elevated on average by 7.52% and 15.5%, in period1<br />

and 2, respectively). Dialysis did not affect the PK/PD relationship. No<br />

deaths, serious AEs, other significant AEs, or AEs of severe intensity<br />

were reported.<br />

CONCLUSION: The haemodialysis procedures employed in the<br />

trial resulted in substantial clearance of total plasma D, reducing the<br />

pharmacodyn<strong>am</strong>ic effect of D. Dialysis clearance of D was higher for<br />

higher dialysis BFR.<br />

s32 volume 91 supplemenT 1 | marCh 2012 | www.nature.com/cpt


nature publishing group<br />

<strong>PI</strong>-69<br />

PHARMACOKINETIC (PK) ANALYSIS OF COADMINISTRA-<br />

TION OF AXITINIB AND PEMETREXED/CISPLATIN (PEM/<br />

CIS) IN PATIENTS WITH NON-SMALL CELL LUNG CANCER<br />

(NSCLC). M. A. Tortorici, 1 L. Iglesias, 2 M. F. Kozloff, 3 Y. K.<br />

Pithavala, 1 A. Ingrosso, 4 C. P. Belani 5 ; 1 Pfizer Oncology, San Diego,<br />

CA, 2 Hospital Doce de Octubre, Madrid, Spain, 3 Ingalls Hospital,<br />

Harvey, IL, 4 Pfizer Italia Srl, Milano, Italy, 5 Penn State Hershey Cancer<br />

Institute, Hershey, PA. M.A. Tortorici: 1. This research was sponsored<br />

by; Company/Drug; Pfizer Inc. 2. I <strong>am</strong> a paid consultant/employee for;<br />

Company/Drug; Pfizer Inc. L. Iglesias: None. M.F. Kozloff: None.<br />

Y.K. Pithavala: 2. I <strong>am</strong> a paid consultant/employee for; Company/<br />

Drug; Pfizer Inc. A. Ingrosso: 2. I <strong>am</strong> a paid consultant/employee for;<br />

Company/Drug; Pfizer Inc. C.P. Belani: 2. I <strong>am</strong> a paid consultant/<br />

employee for; Company/Drug; Pfizer Inc.<br />

BACKGROUND: Axitinib (AG-013736 [AG]) is an oral, potent,<br />

and selective second-generation inhibitor of vascular endothelial<br />

growth factor receptors 1, 2, and 3 with clinical activity against several<br />

solid tumors, including NSCLC. AG was added to the chemotherapy<br />

regimen of pem/cis for its additive improvement in efficacy. The objectives<br />

of this study were to determine the PK of AG and pem/cis and<br />

identify the appropriate dose of AG to combine with pem/cis for treatment<br />

of advanced NSCLC.<br />

METHODS: PK data from two studies of AG evaluated the combination<br />

with pem/cis: a phase I study in patients with solid tumors<br />

(n = 4) and a phase I lead-in portion of a phase II study in patients with<br />

advanced nonsqu<strong>am</strong>ous NSCLC (n=10). AG 5 mg BID was administered<br />

during the lead-in period of 3 to 5 days and continued to Day (D)<br />

18. After a 5-day interruption, AG was resumed on Cycle (C) 2 D3.<br />

Pemetrexed (5<strong>00</strong> mg/m 2 ) and cisplatin (75 mg/m 2 ) were given on<br />

C1D1 and every 3 weeks thereafter. Serial blood draws were collected<br />

on D -1 (AG), C1D1 (AG + pem/cis), and C2D1 (pem/cis). PK par<strong>am</strong>eters<br />

were estimated using non-compartmental methods.<br />

RESULTS: PK par<strong>am</strong>eters were similar for AG in the absence and<br />

presence of pem/cis. The mean (%CV) AG area under the plasma-concentration<br />

time curve from 0 to 24 h (AUC 24 ) was 344 (57) and 386 (51)<br />

ng·hr/mL in the absence and presence of pem/cis, respectively. In addition,<br />

PK par<strong>am</strong>eters were similar for pem/cis in the absence and presence<br />

of AG, respectively: mean (%CV) pemetrexed AUC inf was 147 (17) and<br />

157 (17) μg·hr/mL and mean (%CV) AUC 8 for total platinum in plasma<br />

ultrafiltrate (PUF) was 2470 (26) and 2808 (29) μg·hr/mL.<br />

CONCLUSION: At 5 mg BID dose of AG and full doses of pem/<br />

cis, the PKs of the three drugs are not altered when administered alone<br />

or in combination.<br />

<strong>PI</strong>-70<br />

SINGLE AND MULTIPLE-DOSE PHARMACOKINETICS<br />

OF TOFACITINIB (CP-690,550) FROM A DOUBLE-BLIND,<br />

PLACEBO-CONTROLLED, DOSE-ESCALATION STUDY IN<br />

MEDICALLY STABLE SUBJECTS WITH PSORIASIS. S. Menon,<br />

M. G. Boy, C. Wang, B. E. Wilkinson, S. H. Zwillich, G. Chan, S.<br />

Krishnasw<strong>am</strong>i; Pfizer Inc, Specialty Care Business Unit, Groton,<br />

CT. S. Menon: 1. This research was sponsored by; Company/Drug;<br />

Pfizer Inc. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug;<br />

Pfizer Inc. 6. I will be discussing the following product, which is not<br />

labeled for the use under discussion, or the product is still investigational;<br />

Company/Drug; Tofacitinib (CP-690,550). M.G. Boy: 1. This<br />

research was sponsored by; Company/Drug; Pfizer Inc. 2. I <strong>am</strong> a paid<br />

consultant/employee for; Company/Drug; Pfizer Inc. 5. I <strong>am</strong> a significant<br />

stockholder for; Company/Drug; Pfizer Inc. 6. I will be discussing<br />

the following product, which is not labeled for the use under<br />

discussion, or the product is still investigational; Company/Drug;<br />

Tofacitinib (CP-690,550). C. Wang: 1. This research was sponsored<br />

by; Company/Drug; Pfizer Inc. 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Pfizer Inc. 5. I <strong>am</strong> a significant stockholder for;<br />

Company/Drug; Pfizer Inc. 6. I will be discussing the following product,<br />

which is not labeled for the use under discussion, or the product<br />

aBsTraCTs<br />

is still investigational; Company/Drug; Tofacitinib (CP-690,550).<br />

B.E. Wilkinson: 1. This research was sponsored by; Company/Drug;<br />

Pfizer Inc. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug;<br />

Pfizer Inc. 5. I <strong>am</strong> a significant stockholder for; Company/Drug; Pfizer<br />

Inc. 6. I will be discussing the following product, which is not labeled for<br />

the use under discussion, or the product is still investigational; Company/<br />

Drug; Tofacitinib (CP-690,550). S.H. Zwillich: 1. This research was<br />

sponsored by; Company/Drug; Pfizer Inc. 2. I <strong>am</strong> a paid consultant/<br />

employee for; Company/Drug; Pfizer Inc. 6. I will be discussing the<br />

following product, which is not labeled for the use under discussion,<br />

or the product is still investigational; Company/Drug; Tofacitinib<br />

(CP-690,550). G. Chan: 1. This research was sponsored by; Company/<br />

Drug; Pfizer Inc. 2. I <strong>am</strong> a paid consultant/employee for; Company/<br />

Drug; Pfizer Inc. 6. I will be discussing the following product, which is<br />

not labeled for the use under discussion, or the product is still investigational;<br />

Company/Drug; Tofacitinib (CP-690,550). S. Krishnasw<strong>am</strong>i:<br />

1. This research was sponsored by; Company/Drug; Pfizer Inc. 2. I <strong>am</strong><br />

a paid consultant/employee for; Company/Drug; Pfizer Inc. 5. I <strong>am</strong> a<br />

significant stockholder for; Company/Drug; Pfizer Inc. 6. I will be discussing<br />

the following product, which is not labeled for the use under<br />

discussion, or the product is still investigational; Company/Drug;<br />

Tofacitinib (CP-690,550).<br />

BACKGROUND: Tofacitinib (CP-690,550) is an oral Janus Kinase<br />

(JAK) inhibitor currently in development for the treatment of several<br />

infl<strong>am</strong>matory diseases including rheumatoid arthritis and psoriasis. An<br />

objective of this study was to characterize the single and multiple dose<br />

pharmacokinetics (PK) of tofacitinib.<br />

METHODS: This study (A3921<strong>00</strong>3) was an investigator and subject-blinded,<br />

sponsor-open, parallel group, placebo-controlled, multiple<br />

dose escalation study in 59 medically stable subjects with psoriasis.<br />

Multiple doses of 5 to 50 mg twice-daily (BID) and 60 mg once-daily<br />

(QD) were evaluated over 14 days. Doses of 5, 10, 20 and 30 mg BID<br />

were administered using oral powder for constitution (OPC), and 50 mg<br />

BID and 60 mg QD doses were administered as tablets. Serial blood<br />

and urine s<strong>am</strong>ples were collected on Day 1 and on Day 14. PK par<strong>am</strong>eters<br />

were calculated using standard noncompartmental methods.<br />

RESULTS: Upon single and multiple dosing, mean systemic exposure<br />

par<strong>am</strong>eters (C max and AUC) of tofacitinib increased in an approximately<br />

dose proportional manner. T max generally occurred at 0.5 to<br />

1 hour, and mean apparent terminal elimination phase half-lives ranged<br />

between 2.3 to 4.3 hours. Across the dose groups the mean Day 14/Day<br />

1 ratio of AUC(0-tau) ranged between 0.974 to 1.62, with an overall<br />

geometric mean accumulation ratio of approximately 1.1. The mean<br />

percent of administered dose excreted unchanged in urine ranged from<br />

18.3% to 27.2% across the dose range.<br />

CONCLUSION: The PK profile of tofacitinib is characterized by<br />

rapid absorption, rapid elimination and dose proportional pharmacokinetics<br />

over a wide dose range. Steady state concentrations are achieved<br />

rapidly, with minimal accumulation after BID administration.<br />

<strong>PI</strong>-71<br />

THE EFFECT OF TOFACITINIB (CP-690,550) ON THE PHAR-<br />

MACOKINETICS OF ORAL CONTRACEPTIVE STEROIDS<br />

IN HEALTHY FEMALE VOLUNTEERS. S. Menon, 1 R. Riese, 1<br />

R. Wang, 1 C. W. Alvey, 1 W. Petit, 2 S. Krishnasw<strong>am</strong>i 1 ; 1 Pfizer Inc, Groton,<br />

CT, 2 Pfizer Clinical Research Unit, Brussels, Belgium. S. Menon:<br />

1. This research was sponsored by; Company/Drug; Pfizer Inc.<br />

2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; Pfizer Inc.<br />

6. I will be discussing the following product, which is not labeled for<br />

the use under discussion, or the product is still investigational; Company/Drug;<br />

Tofacitinib (CP-690,550). R. Riese: 1. This research was<br />

sponsored by; Company/Drug; Pfizer Inc. 2. I <strong>am</strong> a paid consultant/<br />

employee for; Company/Drug; Pfizer Inc. 6. I will be discussing the<br />

following product, which is not labeled for the use under discussion,<br />

or the product is still investigational; Company/Drug; Tofacitinib<br />

(CP-690,550). R. Wang: 1. This research was sponsored by; Company/Drug;<br />

Pfizer. 2. I <strong>am</strong> a paid consultant/employee for; Company/<br />

Drug; Pfizer Inc. 6. I will be discussing the following product, which<br />

CliniCal pharmaCology & TherapeuTiCs | volume 91 supplemenT 1 | marCh 2012 s33


aBsTraCTs nature publishing group<br />

is not labeled for the use under discussion, or the product is still investigational;<br />

Company/ Drug; Tofacitinib (CP-690,550). C.W. Alvey:<br />

1. This research was sponsored by; Company/Drug; Pfizer Inc. 2. I <strong>am</strong><br />

a paid consultant/employee for; Company/Drug; Pfizer Inc. 5. I <strong>am</strong> a<br />

significant stockholder for; Company/Drug; Pfizer Inc as part of my<br />

employee 401 (K) benefit. 6. I will be discussing the following product,<br />

which is not labeled for the use under discussion, or the product<br />

is still investigational; Company/Drug; Tofacitinib (CP-690,550).<br />

W. Petit: 1. This research was sponsored by; Company/Drug; Pfizer<br />

Inc. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; Pfizer<br />

Inc. 5. I <strong>am</strong> a significant stockholder for; Company/Drug; Pfizer Inc,<br />

not significant. 6. I will be discussing the following product, which is<br />

not labeled for the use under discussion, or the product is still investigational;<br />

Company/Drug; Tofacitinib (CP-690,550). S. Krishnasw<strong>am</strong>i:<br />

1. This research was sponsored by; Company/Drug; Pfizer Inc. 2. I <strong>am</strong><br />

a paid consultant/employee for; Company/Drug; Pfizer Inc. 5. I <strong>am</strong><br />

a significant stockholder for; Company/Drug; Pfizer Inc. 6. I will be<br />

discussing the following product, which is not labeled for the use under<br />

discussion, or the product is still investigational; Company/Drug;<br />

Tofacitinib (CP-690,550).<br />

BACKGROUND: Tofacitinib (CP-690,550) is an oral Janus Kinase<br />

(JAK) inhibitor currently in development for the treatment of several<br />

infl<strong>am</strong>matory diseases including rheumatoid arthritis and psoriasis.<br />

The objective of this study was to demonstrate a lack of an inhibitive or<br />

inductive effect of tofacitinib on the pharmacokinetics (PK) of the oral<br />

contraceptives (OCs), ethinyl estradiol (EE) and levonorgestrel (LN).<br />

METHODS: This was a randomized, open-label, 2-sequence,<br />

2-period crossover study (A3921071; NCT01137708) of the effect of<br />

30 mg twice-daily (BID) tofacitinib for 11 days on the single-dose PK<br />

of OCs (administered as a single Microgynon 30 ® tablet) in 19 healthy<br />

female subjects. Blood s<strong>am</strong>ples for EE and for LN PK were collected<br />

prior to and up to 48 hours post-dose. PK par<strong>am</strong>eters were calculated<br />

using noncompartmental analysis. Treatment comparisons were made<br />

using analysis of variance to calculate adjusted geometric mean ratios<br />

for test/reference and associated 90% confidence intervals for the mean<br />

ratios. The test and reference treatments were OC treatments with and<br />

without coadministration of tofacitinib, respectively.<br />

RESULTS: The 90% CIs for the ratios of the adjusted geometric<br />

means (Test/Reference) for AUC inf and C max were entirely within the<br />

predefined acceptance region (80.<strong>00</strong>%, 125.<strong>00</strong>%) for both EE and LN<br />

when single oral doses of the combination OCs were administered with<br />

multiple-dose tofacitinib relative to the OCs administered alone, indicating<br />

that tofacitinib had no net inhibitive or inductive effect on the<br />

PK of EE and LN. For both agents, t 1/2 and T max values were similar<br />

with and without coadministration of tofacitinib.<br />

CONCLUSION: Tofacitinib does not influence the PK of oral contraceptives,<br />

ethinyl estradiol and levonorgestrel.<br />

<strong>PI</strong>-72<br />

EFFECTS OF QUINIDINE ON PHARMACOKINETICS (PK)<br />

OF ORAL (PO) AND INTRAVENOUSLY (IV) ADMINISTERED<br />

EDOXABAN. N. Matsushima, 1 J. Mendell, 1 H. Zahir, 1 F. Lee, 2<br />

T. Sato, 1 J. Jin, 1 D. Weiss 2 ; 1 Daiichi Sankyo, Co, Ltd, Parsippany, NJ,<br />

2 Celerion, Inc, Neptune, NJ. N. Matsushima: 1. This research was<br />

sponsored by; Company/Drug; Daiichi Sankyo, Inc. 2. I <strong>am</strong> a paid<br />

consultant/employee for; Company/Drug; Daiichi Sankyo Co., Ltd.<br />

6. I will be discussing the following product, which is not labeled for<br />

the use under discussion, or the product is still investigational; Company/Drug;<br />

Edoxaban [still investigational]. J. Mendell: 1. This<br />

research was sponsored by; Company/Drug; Daiichi Sankyo, Inc. 2.<br />

I <strong>am</strong> a paid consultant/employee for; Company/Drug; Daiichi Sankyo<br />

Co., Ltd. 6. I will be discussing the following product, which is not<br />

labeled for the use under discussion, or the product is still investigational;<br />

Company/Drug; Edoxaban [still investigational]. H. Zahir:<br />

1. This research was sponsored by; Company/Drug; Daiichi Sankyo,<br />

Inc. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; Daiichi<br />

Sankyo Co., Ltd. 6. I will be discussing the following product,<br />

which is not labeled for the use under discussion, or the product is still<br />

investigational; Company/Drug; Edoxaban [still investigational].<br />

F. Lee: 1. This research was sponsored by; Company/Drug; Daiichi<br />

Sankyo, Inc. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug;<br />

Celerion, Inc. 6. I will be discussing the following product, which is<br />

not labeled for the use under discussion, or the product is still investigational;<br />

Company/Drug; Edoxaban [still investigational]. T. Sato:<br />

1. This research was sponsored by; Company/Drug; Daiichi Sankyo,<br />

Inc. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; Daiichi<br />

Sankyo Co., Ltd. 6. I will be discussing the following product, which<br />

is not labeled for the use under discussion, or the product is still investigational;<br />

Company/Drug; Edoxaban [still investigational]. J. Jin:<br />

1. This research was sponsored by; Company/Drug; Daiichi Sankyo,<br />

Inc. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; Daiichi<br />

Sankyo Co., Ltd. 5. I <strong>am</strong> a significant stockholder for; Company/<br />

Drug; Daiichi Sankyo, Inc. 6. I will be discussing the following product,<br />

which is not labeled for the use under discussion, or the product is<br />

still investigational; Company/Drug; Edoxaban [still investigational].<br />

D. Weiss: 1. This research was sponsored by; Company/Drug; Daiichi<br />

Sankyo, Inc. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug;<br />

Celerion, Inc. 6. I will be discussing the following product, which is<br />

not labeled for the use under discussion, or the product is still investigational;<br />

Company/Drug; Edoxaban [still investigational].<br />

BACKGROUND: Edoxaban is a selective, oral direct factor Xa<br />

inhibitor currently in phase 3 clinical development for stroke prevention<br />

in atrial fibrillation and the treatment and secondary prevention of<br />

venous thromboembolism. Edoxaban is a substrate of P-glycoprotein<br />

(P-gp), therefore, the effect of quinidine, a potent P-gp inhibitor, on<br />

the absorption and elimination of edoxaban was evaluated in 2 clinical<br />

studies in healthy subjects.<br />

METHODS: The effects of oral quinidine (3<strong>00</strong> mg, tid) on the<br />

PK of edoxaban were assessed in 2 randomized, open label, crossover<br />

studies: a) Study 1 edoxaban PO 60 mg (n = 42) and b) Study 2<br />

edoxaban IV 30 mg infused over 30 min (n = 36). Blood s<strong>am</strong>ples for<br />

PK assessment were collected up to 24 hours and 72 hours post-dose<br />

in the PO and IV dose studies, respectively. The plasma concentrations<br />

of edoxaban and its metabolite, M4, were determined by validated<br />

LC-MS/MS methods. Edoxaban PK was compared by treatments;<br />

edoxaban coadministered with quinidine vs edoxaban alone using a<br />

mixed-effect model.<br />

RESULTS: Based on the geometric LSM ratio values, co-administration<br />

of quinidine increased the total exposure (AUC) of edoxaban by<br />

77% and 35% following PO and IV administration, respectively.<br />

CONCLUSION: Quinidine increases total exposure of PO or IV<br />

edoxaban. These results suggest that P-gp inhibition influences both<br />

the absorption and elimination of edoxaban.<br />

Par<strong>am</strong>eter a<br />

AUC last ,<br />

ng·hr/mL<br />

Geometric<br />

LSM ratio<br />

(90% CI), %<br />

Study 1 (oral edoxaban) Study 2 (IV edoxaban)<br />

Edoxaban<br />

60 mg PO<br />

(n=35)<br />

Edoxaban 60 mg<br />

PO + Quinidine<br />

(n=33)<br />

Edoxaban<br />

30 mg IV<br />

(n=35)<br />

Edoxaban 30 mg<br />

IV + Quinidine<br />

(n=28)<br />

1443 ± 329.7 2484 ± 402.4 1305 ± 189.6 1758 ± 318.1<br />

- 177 (165-189) - 135 (128-143)<br />

C max , ng/mL 223 ± 74.9 390 ± 93.4 424 ± 114.8 456 ± 132.5<br />

Geometric<br />

LSM ratio<br />

(90% CI), %<br />

- 185 (165-208) - 107 (96-120)<br />

T max , h b 1.5 (0.5, 6.0) 1.5 (0.5, 2.5) 0.5 (0.3, 2.0) 0.5 (0.5, 1.0)<br />

t 1/2 , h 6.4 ± 1.59 5.0 ± 0.62 6.7 ± 2.54 11.3 ± 7.82<br />

a Par<strong>am</strong>eters arithmetic mean (± SD) unless indicated; b Median (min, max)<br />

s34 volume 91 supplemenT 1 | marCh 2012 | www.nature.com/cpt


nature publishing group<br />

<strong>PI</strong>-73<br />

THE EFFECT OF RIFAM<strong>PI</strong>N ON THE PHARMACOKINET-<br />

ICS OF TOFACITINIB (CP-690,550) IN HEALTHY VOLUN-<br />

TEERS. M. L<strong>am</strong>ba, 1 R. Wang, 1 I. Kaplan, 1 J. Salageanu, 1 S. Tarabar, 2<br />

S. Krishnasw<strong>am</strong>i 1 ; 1 Pfizer, Groton, CT, 2 Pfizer Clinical Research<br />

Unit, New Haven, CT. M. L<strong>am</strong>ba: 1. This research was sponsored<br />

by; Company/ Drug; Pfizer Inc. 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Pfizer Inc. 6. I will be discussing the following<br />

product, which is not labeled for the use under discussion, or the product<br />

is still investigational; Company/Drug; Tofacitinib (CP-690,550).<br />

R. Wang: 1. This research was sponsored by; Company/Drug; Pfizer<br />

Inc. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; Pfizer<br />

Inc. 6. I will be discussing the following product, which is not labeled<br />

for the use under discussion, or the product is still investigational; Company/Drug;<br />

Tofacitinib (CP-690,550). I. Kaplan: 1. This research<br />

was sponsored by; Company/Drug; Pfizer Inc. 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Pfizer Inc. 6. I will be discussing<br />

the following product, which is not labeled for the use under discussion,<br />

or the product is still investigational; Company/Drug; Tofacitinib<br />

(CP-690,550). J. Salageanu: 1. This research was sponsored<br />

by; Company/Drug; Pfizer Inc. 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Pfizer Inc. 6. I will be discussing the following<br />

product, which is not labeled for the use under discussion, or the product<br />

is still investigational; Company/Drug; Tofacitinib (CP-690,550).<br />

S. Tarabar: 1. This research was sponsored by; Company/ Drug;<br />

Pfizer Inc. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug;<br />

Pfizer Inc. 6. I will be discussing the following product, which is not<br />

labeled for the use under discussion, or the product is still investigational;<br />

Company/Drug; Tofacitinib (CP-690,550). S. Krishnasw<strong>am</strong>i:<br />

1. This research was sponsored by; Company/Drug; Pfizer Inc. 2. I <strong>am</strong><br />

a paid consultant/employee for; Company/Drug; Pfizer Inc. 5. I <strong>am</strong><br />

a significant stockholder for; Company/Drug; Pfizer Inc. 6. I will be<br />

discussing the following product, which is not labeled for the use under<br />

discussion, or the product is still investigational; Company/Drug;<br />

Tofacitinib (CP-690,550).<br />

BACKGROUND: Tofacitinib (CP-690,550) is an oral Janus kinase<br />

(JAK) inhibitor in development for the treatment of several infl<strong>am</strong>matory<br />

diseases including rheumatoid arthritis and psoriasis. The objective<br />

of this study was to estimate the effect of repeat-dose, oral rif<strong>am</strong>pin<br />

administration, a potent CYP3A4 inducer, on the pharmacokinetics<br />

(PK) of a single 30 mg oral dose of tofacitinib.<br />

METHODS: This study (A3921056; NCT01204112) was an open<br />

label, 2-period, single fixed sequence study. Twelve healthy subjects<br />

received: (a) single dose oral tofacitinib 30 mg in Period 1 and (b) single<br />

dose oral tofacitinib 30 mg following 7 days of rif<strong>am</strong>pin (6<strong>00</strong> mg<br />

q24 h) treatment in Period 2. Tofacitinib PK s<strong>am</strong>ples were collected<br />

prior to dosing (0 hours) and post-dose at 0.5, 1, 2, 4, 6, 8, 12, 16, and 24<br />

hours in Periods 1 (Days 1) and Period 2 (Day 8). PK par<strong>am</strong>eters were<br />

calculated using noncompartmental analysis. Treatment comparisons<br />

were made using analysis of variance to calculate adjusted geometric<br />

mean ratios for test/reference and associated 90% confidence intervals<br />

for ratios. The test and reference treatments were tofacitinib treatments<br />

with and without coadministration of rif<strong>am</strong>pin, respectively.<br />

RESULTS: Coadministration of rif<strong>am</strong>pin significantly decreased<br />

mean tofacitinib exposure (AUC inf ) by 84% and peak concentration<br />

(C max ) by 74%. The ratio of the adjusted geometric means of<br />

test/reference were 16.10% (90% CI: 14.24% to 18.20%) for AUC inf<br />

and 26.32% (90% CI: 22.63% to 30.61%) for C max . Mean t1/2 for<br />

CP-690,550 decreased from 4.2 hours to 2.9 hours in the presence of<br />

rif<strong>am</strong>pin. Median T max was similar with and without rif<strong>am</strong>pin co-administration.<br />

CONCLUSION: Coadministration of tofacitinib with rif<strong>am</strong>pin<br />

resulted in a decrease in overall tofacitinib plasma exposures, which<br />

may result in loss of or reduced clinical response.<br />

aBsTraCTs<br />

<strong>PI</strong>-74<br />

THE EFFECT OF FOOD ON THE PHARMACOKINET-<br />

ICS OF TOFACITINIB (CP-690,550). M. L<strong>am</strong>ba, 1 R. Wang, 1<br />

T. Stock, 2 M. O’Gorman, 1 S. Krishnasw<strong>am</strong>i 1 ; 1 Pfizer Inc, Groton,<br />

CT, 2 Pfizer Inc, Collegeville, PA. M. L<strong>am</strong>ba: 1. This research was<br />

sponsored by; Company/Drug; Pfizer Inc. 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Pfizer Inc. 6. I will be discussing<br />

the following product, which is not labeled for the use under<br />

discussion, or the product is still investigational; Company/Drug;<br />

Tofacitinib (CP-690,550). R. Wang: 1. This research was sponsored<br />

by; Company/ Drug; Pfizer Inc. 2. I <strong>am</strong> a paid consultant/<br />

employee for; Company/Drug; Pfizer Inc. 6. I will be discussing<br />

the following product, which is not labeled for the use under discussion,<br />

or the product is still investigational; Company/Drug;<br />

Tofacitinib (CP-690,550). T. Stock: 1. This research was sponsored<br />

by; Company/Drug; Pfizer Inc. 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Pfizer Inc. 5. I <strong>am</strong> a significant stockholder<br />

for; Company/Drug; Pfizer Inc. 6. I will be discussing the following<br />

product, which is not labeled for the use under discussion, or<br />

the product is still investigational; Company/Drug; Tofacitinib<br />

(CP-690,550). M. O’Gorman: 1. This research was sponsored by;<br />

Company/Drug; Pfizer Inc. 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Pfizer Inc. 5. I <strong>am</strong> a significant stockholder<br />

for; Company/Drug; Pfizer Inc. 6. I will be discussing the following<br />

product, which is not labeled for the use under discussion, or<br />

the product is still investigational; Company/Drug; Tofacitinib<br />

(CP-690,550). S. Krishnasw<strong>am</strong>i: 1. This research was sponsored<br />

by; Company/Drug; Pfizer Inc. 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Pfizer Inc. 5. I <strong>am</strong> a significant stockholder<br />

for; Company/Drug; Pfizer Inc. 6. I will be discussing the following<br />

product, which is not labeled for the use under discussion, or<br />

the product is still investigational; Company/Drug; Tofacitinib<br />

(CP-690,550).<br />

BACKGROUND: Tofacitinib (CP-690,550) is an oral Janus kinase<br />

(JAK) inhibitor currently in development for the treatment of several<br />

infl<strong>am</strong>matory diseases including rheumatoid arthritis and psoriasis.<br />

The objective of these studies was to characterize the effect of food on<br />

the pharmacokinetics (PK) of tofacitinib in healthy subjects.<br />

METHODS: Two Phase 1 studies evaluated the effect of food on<br />

tofacitinib PK, one using a 50 mg dose of a tablet used in early clinical<br />

development (A3921<strong>00</strong>5) and the other using a 10 mg dose of<br />

the to-be-marketed tablet (A3921076; NCT01184<strong>00</strong>1). Both studies<br />

were open-label, single dose, crossover studies in healthy subjects.<br />

After an overnight fast, subjects were administered either the FDA<br />

recommended high fat breakfast 30 minutes prior to administration<br />

of tofacitinib with 240 mL of water (fed, test treatment) or with 240<br />

mL of water in fasted state (fasted, reference treatment). PK par<strong>am</strong>eters<br />

were calculated using noncompartmental analysis. Treatment<br />

comparisons were made using a mixed effects model to generate<br />

adjusted geometric mean ratios (fed/fasted) and their 90% confidence<br />

intervals (CIs).<br />

RESULTS: Coadministration of tofacitinib with a high fat meal<br />

had no impact on AUC inf , as the 90% CIs for the ratios of adjusted<br />

geometric means (fed/fasted) were entirely contained within the<br />

80.<strong>00</strong>-125.<strong>00</strong>% acceptance limits in both studies. Mean (90% CI)<br />

C max was decreased with food and to a similar extent following both<br />

10 mg (31.8% [90% CI 20.4, 41.6]) and 50 mg (25.8% [18.9, 32.0])<br />

doses. Median T max increased from 0.5 hour under fasted condition to<br />

1-2 hours under fed condition.<br />

CONCLUSION: Coadministration with high fat meal resulted in<br />

no major changes in the systemic exposure of tofacitinib. The magnitude<br />

of decrease in C max is not considered to be clinically relevant.<br />

Therefore, no dosage adjustments or time restrictions between meal<br />

and drug intake are necessary.<br />

CliniCal pharmaCology & TherapeuTiCs | volume 91 supplemenT 1 | marCh 2012 s35


aBsTraCTs nature publishing group<br />

<strong>PI</strong>-75<br />

A PHARMACOKINETIC STUDY OF ORAL PACLITAXEL IN<br />

COMBINATION WITH HM30181 IN SOLID CANCER PATIENTS.<br />

S. E. Kim, N. Gu, D. Shin, S. H. Yoon, J. Y. Cho, S. G. Shin,<br />

K. S. Yu, I. J. Jang; Department of Clinical Pharmacology and Therapeutics,<br />

Seoul National University College of Medicine and Hospital,<br />

Seoul, Republic of Korea. S.E. Kim: 1. This research was sponsored<br />

by; Company/Drug; Hanmi Pharmaceutical Co., Ltd. (Seoul, Korea).<br />

None of the authors have any conflict of interest. N. Gu: 1. This<br />

research was sponsored by; Company/Drug; Hanmi Pharmaceutical<br />

Co., Ltd. (Seoul, Korea). None of the authors have any conflict of<br />

interest. D. Shin: 1. This research was sponsored by; Company/Drug;<br />

Hanmi Pharmaceutical Co., Ltd. (Seoul, Korea). None of the authors<br />

have any conflict of interest. S.H. Yoon: 1. This research was sponsored<br />

by; Company/Drug; Hanmi Pharmaceutical Co., Ltd. (Seoul,<br />

Korea). None of the authors have any conflict of interest. J.Y. Cho:<br />

1. This research was sponsored by; Company/Drug; Hanmi Pharmaceutical<br />

Co., Ltd. (Seoul, Korea). None of the authors have any conflict<br />

of interest. S.G. Shin: 1. This research was sponsored by; Company/<br />

Drug; Hanmi Pharmaceutical Co., Ltd. (Seoul, Korea). None of the<br />

authors have any conflict of interest. K.S. Yu: 1. This research was<br />

sponsored by; Company/Drug; Hanmi Pharmaceutical Co., Ltd.<br />

(Seoul, Korea). None of the authors have any conflict of interest.<br />

I.J. Jang: 1. This research was sponsored by; Company/Drug; Hanmi<br />

Pharmaceutical Co., Ltd. (Seoul, Korea). None of the authors have any<br />

conflict of interest.<br />

BACKGROUND: As a selective inhibitor of multi-drug resistance<br />

1, HM30181 have a potential to provide an increase in oral bioavailability<br />

of paclitaxel, a chemotherapeutic agent. The aim of this study was<br />

to explore the pharmacokinetics (PKs) of paclitaxel after oral administrations<br />

of capsule formulations in combination with HM30181AK<br />

tablet in patients with solid cancer.<br />

METHODS: Paclitaxel of 180 mg/m 2 and 240 mg/m 2 was administered<br />

in combination with a HM30181AK 15 mg tablet on day<br />

1 and was administered alone on day 2. Paclitaxel of 3<strong>00</strong> mg/m 2<br />

was co-administered with a HM30181AK 15 mg tablet on day 1 and<br />

day 2. Blood and urine s<strong>am</strong>ples for PK analysis were collected up to<br />

48 hours after the first dose on day 1 in 3 patients per 3 dose groups.<br />

Paclitaxel concentrations were determined by liquid chromatographytandem<br />

mass spectrometry and PK par<strong>am</strong>eters were estimated by noncompartmental<br />

analysis.<br />

RESULTS: The mean (standard deviation) AUC last of paclitaxel on<br />

day 1 was 462.8 (343.9), 993.7 (76.9), and 846.3 (283.1) μg*hr/L and<br />

that on day 2 was 527.2 (431.1), 456.3 (120.4), and 1157.1 (409.7)<br />

μg*hr/L following administration of paclitaxel (180, 240, and 3<strong>00</strong> mg/<br />

m 2 , respectively); the mean (minimum-maximum) time of paclitaxel<br />

concentrations above 0.01 μM were 17.7 (1.3 - 32.8), 43.2 (33.8 -<br />

48.1), and 47.5 (47.0 - 47.7) hours, respectively. The fraction excreted<br />

unchanged in urine was 1.13, 2.30, and 1.90% on day 1 and that was<br />

1.36, 1.22, and 2.07% on day 2 after administration of 180, 240, and<br />

3<strong>00</strong> mg/m 2 paclitaxel, respectively.<br />

CONCLUSION: The systemic exposures of paclitaxel were not<br />

proportional to increases in the dose. Among three paclitaxel dose<br />

groups, 3<strong>00</strong> mg/m 2 group represented the highest sum of AUC last on<br />

day 1 and day 2 and its mean time of paclitaxel concentrations above<br />

0.01 μM was 47.5 hours.<br />

<strong>PI</strong>-76<br />

DIFFERENCES IN ACUTE PAIN, HYPERALGESIA, ALLODY-<br />

NIA AND NEUROGENIC FLARE IN RESPONSE TO TO<strong>PI</strong>CAL<br />

AND INTRADERMAL CAPSAICIN. K. Francke, 1 E. Neuhoff, 1<br />

W. Heber, 2 J. L<strong>am</strong>bert, 1 M. Grossmann 3 ; 1 PAREXEL, London, United<br />

Kingdom, 2 PAREXEL, Baltimore, MD, 3 PAREXEL, Berlin, Germany.<br />

K. Francke: None. E. Neuhoff: None. W. Heber: None. J. L<strong>am</strong>bert:<br />

None. M. Grossmann: None.<br />

BACKGROUND: Experimental human pain models are widely used<br />

to explore nociceptive mechanisms and to study the efficacy of novel<br />

analgesic drugs. We previously used topical capsaicin cre<strong>am</strong> to induce<br />

pain, neuronal sensitization and neurogenic flare. However, the sensitivity<br />

of the method was limited mainly due to inconsistent dermal absorption.<br />

This study investigated the test-retest correlation and inter subject<br />

variability of sensitization after intradermal capsaicin injection.<br />

METHODS: In a 2-way crossover design, 28 healthy male volunteers<br />

received intradermal injections of 90 μg Capsaicin (GMP grade;<br />

30 μl, 0.3% solution in 7.5% Tween 80) to the volar forearm. The acute<br />

pain, mechanical allodynia, pinprick hyperalgesia and neurogenic flare<br />

reaction were assessed at several timepoints up to 60 min post injection.<br />

The experiment was repeated 5 days later in exactly the s<strong>am</strong>e fashion.<br />

RESULTS: Subjects perceived pain and developed neuronal sensitization<br />

and neurogenic flare following capsaicin injection. Mean<br />

values at 15 min post and correlation coefficients of test/retest were:<br />

pain (NRS 11) 4.6±0.3, r= 0.81; mechanical allodynia 13.1±2.3 cm^2,<br />

r= 0.82; pinprick hyperalgesia 18.1±2.4 cm^2, r= 0.73; flare 37.8±3.3<br />

cm^2, r= 0.63.<br />

CONCLUSION: Intradermal capsaicin injection is a suitable pain<br />

model that can be utilized in early clinical drug development. The sensory<br />

endpoints acute pain, allodynia and hyperalgesia showed acceptable<br />

test-retest repeatability, but less correlation for neurogenic flare.<br />

In general there was a trend towards lower responses in the second test<br />

session. Intersubject comparisons showed considerable differences<br />

in the extent of the induced sensory components, with some subjects<br />

developing only small areas of hyperalgesia. This makes distinction<br />

between primary and secondary sensitization difficult and limits the<br />

dyn<strong>am</strong>ic range of the endpoint. Pre-screening is therefore recommended<br />

to identify sensitive responders.<br />

<strong>PI</strong>-77<br />

PROPOFOL PHARMACOKINETICS IN CHILDREN IN EGYP-<br />

TIEN POPULATION. A. A. Guemei, 1 R. S. Saleh, 2 A. M. El-Attar, 3<br />

O. T. Fahmy 4 ; 1 Faculty of Medicine at King Fahad Medical City,<br />

Riyadh, Saudi Arabia, 2 Faculty of Medicine, Alexandria University,<br />

Alexandria, Egypt, 3 Faculty of Medicine, Alexandria University,<br />

Alexandria, Egypt, 4 Faculty of Pharmacy, Alexandria University, Alexandria,<br />

Egypt. A.A. Guemei: None. R.S. Saleh: None. A.M. El-Attar:<br />

None. O.T. Fahmy: None.<br />

BACKGROUND: Propofol has gained popularity as an agent for<br />

both induction and maintenance of anesthesia for adults and children.<br />

This is primarily because of its rapid onset, short duration of action and<br />

minimal side effects. Pharmacokinetics of children is different from<br />

adults. There had been a lack of pharmacokinetic studies in Egyptian<br />

children less than 3 years of age.<br />

METHODS: Forty eight pediatric patients (2-24 months) were randomly<br />

assigned into 4 groups, each group had 12 patients. They were<br />

scheduled to undergo superficial body surgery of 1 hour expected duration.<br />

Venous blood s<strong>am</strong>ples were collected and analyzed using high<br />

performance liquid chromatography (HPLC). Non linear mixed effects<br />

modeling (NONMEN) software progr<strong>am</strong> was used to analyze the pharmacokinetic<br />

data.<br />

RESULTS: The pharmacokinetic of propofol in pediatric patients<br />

followed a two compartment model with systemic clearance (Cl) 29.77<br />

± 9.46 ml kg -1 min -1 , central volume of distribution (Vc) 0.62 ±0.24<br />

kg -1 , and volume at steady state (Vss) 1.67 ± 0.26 kg -1 . The half life<br />

(HL) was 0.24 ± 0.02h.<br />

CONCLUSION: It was found that the children of this age have a larger<br />

volume of distribution and a higher clearance of propofol than adults.<br />

Therefore, the induction and maintenance doses should be increased in this<br />

young age group using population based pharmacokinetic par<strong>am</strong>eters.<br />

<strong>PI</strong>-78<br />

POPULATION MODELING OF THE PHARMACOKINETICS<br />

AND PHARMACODYNAMICS OF PONESIMOD, A SELECTIVE<br />

S1P1 RECEPTOR AGONIST. A. Krause, P. Brossard, D. D’Ambrosio,<br />

J. Dingemanse; Actelion Pharmaceuticals, Allschwil, Switzerland.<br />

A. Krause: 1. This research was sponsored by; Company/Drug;<br />

Actelion Pharmaceuticals Ltd. 2. I <strong>am</strong> a paid consultant/employee<br />

s36 volume 91 supplemenT 1 | marCh 2012 | www.nature.com/cpt


nature publishing group<br />

for; Company/Drug; Actelion Pharmaceuticals Ltd. 6. I will be<br />

discussing the following product, which is not labeled for the use<br />

under discussion, or the product is still investigational; Company/<br />

Drug; ponesimod. P. Brossard: 1. This research was sponsored<br />

by; Company/ Drug; Actelion Pharmaceuticals Ltd. 2. I <strong>am</strong> a paid<br />

consultant/employee for; Company/Drug; Actelion Pharmaceuticals<br />

Ltd. 6. I will be discussing the following product, which is not<br />

labeled for the use under discussion, or the product is still investigational;<br />

Company/Drug; ponesimod. D. D’Ambrosio: 1. This<br />

research was sponsored by; Company/Drug; Actelion Pharmaceuticals<br />

Ltd. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug;<br />

Actelion Pharmaceuticals Ltd. 6. I will be discussing the following<br />

product, which is not labeled for the use under discussion, or<br />

the product is still investigational; Company/Drug; ponesimod. J.<br />

Dingemanse: 1. This research was sponsored by; Company/Drug;<br />

Actelion Pharmaceuticals Ltd. 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Actelion Pharmaceuticals Ltd. 6. I will be discussing<br />

the following product, which is not labeled for the use under<br />

discussion, or the product is still investigational; Company/Drug;<br />

ponesimod.<br />

BACKGROUND: Sphingosine 1-phosphate (S1P) and the S1P<br />

receptors play a central role in lymphocyte trafficking. The objective of<br />

the pharmacokinetic (PK) and pharmacodyn<strong>am</strong>ic (PD) modeling was<br />

to establish a quantitative fr<strong>am</strong>ework for exposure-response relationships<br />

aiding in dose selection to achieve therapeutic target ranges in<br />

total lymphocyte count for ponesimod, a selective oral S1P 1 receptor<br />

agonist.<br />

METHODS: A nonlinear mixed effects model characterizes the PK<br />

of ponesimod. The data originates from five phase I and one phase II<br />

study and includes more than 2<strong>00</strong> individuals on starting doses from<br />

1 to 75 mg and different up-titration regimens and 43 placebo subjects.<br />

The PD model characterizes the effect on the total lymphocyte count,<br />

the primary PD par<strong>am</strong>eter for ponesimod.<br />

RESULTS: The PK of ponesimod are characterized by a two compartment<br />

model with absorption lag time and sequential zero/first order<br />

absorption. Body weight was identified as a significant covariate on<br />

volumes of distribution and drug clearance. The rate of appearance of<br />

peripheral blood lymphocytes follows a circadian pattern. The ponesimod<br />

concentration in the central compartment alters the rate of appearance<br />

of the lymphocytes, described by an indirect effect E max model.<br />

The PK and PD of ponesimod are characterized well by the integrated<br />

model. The apparent volumes of distribution were identified as 36 and<br />

219 L, respectively, the clearance as 6.5 L/h, and the absorption lag<br />

time as 0.45 h. The maximum rate inhibition was estimated as 70%<br />

with an IC 50 of 44 ng/mL. The PD effect reached a plateau at 80 percent<br />

reduction in total lymphocyte count. Extrapolation to higher doses<br />

accurately predicted the results of a subsequent study exploring doses<br />

up to and including 1<strong>00</strong> mg.<br />

CONCLUSION: The quantitative characterization of the PK and<br />

PD of ponesimod has been achieved and formed the basis for dose<br />

selection in patient trials. The model was able to predict the effect of<br />

doses higher than observed so far.<br />

<strong>PI</strong>-79<br />

MODEL-BASED META-ANALYSIS (MBMA) OF TOTAL<br />

MOTOR SCORE, CHOREA SCORE, AND TOTAL FUNCTIONAL<br />

CAPACITY FOR PATIENTS WITH HUNTINGTON’S DISEASE<br />

(HD). Y. Jin, S. Ahadieh, E. Pickering, R. Evans, J. Liu; Pfizer Inc,<br />

Groton, CT. Y. Jin: None. S. Ahadieh: None. E. Pickering: None.<br />

R. Evans: None. J. Liu: None.<br />

BACKGROUND: No curative therapy is available for HD. Some<br />

agents evaluated clinically seem to be effective in HD symptoms. We<br />

aimed to evaluate natural disease progression, longitudinal placebo and<br />

treatment effects on total motor score (TMS), total functional capacity<br />

(TFC), and chorea score (CS) measures in HD patients.<br />

METHODS: All randomized, double blinded, placebo-controlled<br />

clinical trials conducted in HD patients were searched within<br />

aBsTraCTs<br />

MEDLINE, EMBASE, BIOSIS, and DERWENT. Fourteen, 11, and<br />

10 studies representing 1821, 1521, and 840 subjects measuring TMS,<br />

TFC, and CS, respectively, were available. The analyses were based<br />

on study level data weighted by s<strong>am</strong>ple size. Placebo and treatment<br />

effects were best modeled as Fig1.<br />

RESULTS: TMS: Maximal placebo and treatment effects were<br />

estimated to be the s<strong>am</strong>e -5.3 units (95%CI: -7.7 to -3.0), occurring<br />

around 2.3 months. Natural disease progression rate was estimated<br />

to be 6 units/yr (95%CI: 5.6 to 6.4). CS: Maximal placebo and treatment<br />

effects were -0.49 units (95%CI: -0.95 to -0.03 ) and -0.88 units<br />

(95%CI:-1.71 to -0.05), respectively, occurring around 1.25 months.<br />

TFC: Neither placebo nor treatment effect identified. Natural disease<br />

progression measured by TFC was -0.8 points/yr.<br />

CONCLUSION: The analysis estimated natural disease progression,<br />

placebo, and treatment effects on TMS, TFC, and CS for HD<br />

patients. This could be used for supporting future study designs,<br />

especially endpoint selection, study duration, and s<strong>am</strong>ple size<br />

calculation.<br />

TMSTreatment = (Pmax + η1 )(1 <strong>–</strong> e <strong>–</strong>(Kp +Kd +η2 )t ) + θ × ( ) Progression θ Age W<br />

× t + × ε<br />

49 N<br />

CSTreatment = (Pmax + Dmax + η1 )(1 <strong>–</strong> e <strong>–</strong>Kp × t W<br />

) + × ε<br />

N<br />

TFCPlacebol Treatment = θ ×e Progression η W<br />

1 × t + × ε<br />

N<br />

P max and D max : maximum placebo and additional treatment effect respectively;<br />

K p and K d : half life of reaching maximum effect;<br />

Θ progression : the natural disease progression rate;<br />

W: Standard deviation of each endpoint measure;<br />

N: S<strong>am</strong>ple size of each study;<br />

η 1 and η 2 : between study variability;<br />

ε: the residual error<br />

Figure 1. Models describing placebo and treatment effect measured by TMS, CS, and TFC<br />

<strong>PI</strong>-80<br />

IMPORTANCE OF PK VARIABILITY ON DOSE SELECTION<br />

FOR COMPOUNDS WITH POTENTIAL INVERTED U SHAPE<br />

DOSE RESPONSE. Y. Jin, 1 J. Liu, 1 D. Nichols 2 ; 1 Pfizer Inc, Groton,<br />

CT, 2 Pfizer Inc, Sandwich, United Kingdom. Y. Jin: None. J. Liu:<br />

None. D. Nichols: None.<br />

BACKGROUND: Potential inverted U shape dose response is<br />

a consistent concern in CNS drug development, especially for dose<br />

selection in clinical trials. The analysis aimed to evaluate the importance<br />

of PK and PD variability on the dose selection for Phase 2 a like<br />

trials by trial simulation methodology.<br />

METHODS: Various inverted U shape dose response curves were<br />

simulated using Gaussian function. Scenario I (narrow dose response):<br />

True PD effect of 2, 6, and 2 at doses 20, 30, and 40 mg BID, respectively.<br />

Scenario II (wider dose response): True PD effect of 2, 6, and 2 at<br />

10, 30, and 50 mg BID, respectively. Scenario III (smaller effect): True<br />

PD effect of 2, 4, and 2 at doses 20, 30, and 40 mg BID, respectively.<br />

S<strong>am</strong>ple size for each dose level was n=1<strong>00</strong> virtual subjects. Impact of<br />

various PK variability (CV 20-80%) and PD effect size (Δ/SD: 2<strong>00</strong>%,<br />

1<strong>00</strong>%, 50%) on trial results were evaluated. Predictive intervals (<strong>PI</strong>)<br />

were derived with 1<strong>00</strong>0 trial simulations.<br />

RESULTS: Dose response identification in a Phase 2a like trials<br />

were highly sensitive to PK variability vs. PD effect size (Δ/SD). Dose<br />

response is only likely to be identified if PK variability


aBsTraCTs nature publishing group<br />

CONCLUSION: Trial results are highly sensitive to PK variability<br />

for compounds with potential inverted U shape response, hence it is<br />

challenging to develop a drug with such attributes.<br />

Response<br />

0 1 2 3 4 5 6<br />

Response<br />

0 1 2 3 4 5 6<br />

PK_CV=20%,∆/SD=2<strong>00</strong>%<br />

True dose response<br />

Trial Result(90%<strong>PI</strong>)<br />

10 20 30 40<br />

Dose (BID mg)<br />

PK_CV=80%, ∆/SD=2<strong>00</strong>%<br />

True dose response<br />

Trial Result (90%<strong>PI</strong>)<br />

10 20 30 40<br />

Dose (BID mg)<br />

Response<br />

0 1 2 3 4 5 6<br />

Response<br />

0 1 2 3 4 5 6<br />

PK_CV=20%,∆/SD=1<strong>00</strong>%<br />

10 20 30 40<br />

Dose (BID mg)<br />

PK_CV=80%,∆/SD=1<strong>00</strong>%<br />

10 20 30 40<br />

Dose (BID mg)<br />

Response<br />

0 1 2 3 4 5 6<br />

Response<br />

0 1 2 3 4 5 6<br />

PK_CV=20%, ∆/SD=50%<br />

10 20 30 40<br />

Dose (BID mg)<br />

PK_CV=80%,∆/SD=50%<br />

10 20 30 40<br />

Dose (BID mg)<br />

<strong>PI</strong>-81<br />

CHARACTERIZATION OF GUINEA <strong>PI</strong>G MDR1/P-GP FUNC-<br />

TION. I. Hasibu, D. Patoine, S. Pilote, B. Drolet, C. Simard; Institut<br />

Universitaire de Cardiologie et de Pneumologie de Quebec, Quebec,<br />

QC, Canada. I. Hasibu: None. D. Patoine: None. S. Pilote: None.<br />

B. Drolet: None. C. Simard: None.<br />

INTRODUCTION: We have previously shown that guinea pigs<br />

express MDR1/P-gp in small intestine. However, its function, as an<br />

efflux pump involved in drug transport, has not been characterized.<br />

The aim of this study was then to characterize MDR1 function and to<br />

determine its distribution in different tissues.<br />

METHODS: Molecular biology techniques (RNA extraction,<br />

RACE-PCR, RT-PCR and Western blot) were used. Western blot and<br />

RT-PCR analyses were performed using liver, small intestine, lung,<br />

kidney, atrium, ventricle, cerebellum, brain and adrenal gland protein<br />

extracts. Then, guinea pig MDR1 gene was cloned in pCI-neo vector<br />

and transfected in HEK293 cells. The functional transport studies were<br />

performed with the calcein assay (P-gp substrate) and using verap<strong>am</strong>il<br />

as a P-gp inhibitor. The degree of inhibition of P-gp activity was quantified<br />

by measuring the increase in intracellular calcein fluorescence.<br />

RESULTS: RACE-PCR analyses showed a 1279 <strong>am</strong>ino acid<br />

sequence which is 85, 78, 81 and 78% homologous to human, mouse and<br />

rat MDR1a and MDR1b, respectively. Western blot studies showed a 170<br />

kDa band, highly suggestive of MDR1/P-gp. MDR1 mRNA was found in<br />

liver, small intestine, atrium, ventricle, brain and adrenal gland. MDR1/<br />

P-gp protein was found in liver, small intestine, atrium, ventricle, cerebellum,<br />

brain and adrenal gland. Calcein assay confirmed the MDR1/P-gp<br />

activity (84,76 ± 3,61 and 61,72 ± 5,29 FU for pCI-neo and guinea pig-<br />

MDR1 transfected in HEK293 cells respectively, p=0,<strong>00</strong>34). Moreover, a<br />

significant inhibition of guinea-pig/MDR1 transport activity was shown<br />

when using verap<strong>am</strong>il (61,72 ± 5,29 and 91,13 ± 2,34 FU, p=0,<strong>00</strong>09).<br />

CONCLUSION: These results suggest that guinea pigs express an<br />

active MDR1/P-gp which was detected in almost the s<strong>am</strong>e tissues as<br />

in humans. Considering the significance of this protein in drug transport,<br />

this is reinforcing the pertinence of using the guinea pig model for<br />

studying drug metabolism in a more “clinically relevant” context.<br />

<strong>PI</strong>-82<br />

CHARACTERIZATION OF GUINEA <strong>PI</strong>G CYP2C FUNCTION. I.<br />

Hasibu, S. Pilote, D. Patoine, B. Drolet, C. Simard; Institut Universitaire<br />

de Cardiologie et de Pneumologie de Quebec, Quebec, QC, Canada.<br />

I. Hasibu: None. S. Pilote: None. D. Patoine: None. B. Drolet:<br />

None. C. Simard: None.<br />

BACKGROUND: The guinea pig expresses drug-metabolizing<br />

enzymes such as CYP1A, CYP2B, CYP2D and CYP3A subf<strong>am</strong>ilies. We<br />

previously showed that this animal also expresses CYP2C and CYP2E<br />

subf<strong>am</strong>ilies. However, guinea pig CYP2C function has not been characterized.<br />

The aim of our study was to characterize the guinea pig CYP2C<br />

functional activity in order to use this animal for drug metabolism studies.<br />

METHODS: Molecular biology techniques (RNA extraction,<br />

RACE-PCR and Western blot) were used. The function was studied<br />

with ex vivo standard incubations using hepatic microsomes from<br />

guinea pig. A CYP2C9 probe drug (tolbut<strong>am</strong>ide) was used. Inhibition<br />

studies were performed with CYP2C9 inhibitors (tienilic acid and fluconazole)<br />

and a CYP3A4 inhibitor (ketoconazole). Tolbut<strong>am</strong>ide and<br />

its metabolite concentrations were analyzed by HPLC.<br />

RESULTS: RACE PCR allowed us to obtain a 1473 bp sequence<br />

which is 80, 82, 81% homologous to human CYP2C8, CYP2C9 and<br />

CYP2C19 cDNA respectively. Western blot allowed us to identify<br />

a 55 kDa band, highly suggesting CYP2C signature. Incubations of<br />

guinea pig hepatic microsomes revealed the formation of tolbut<strong>am</strong>ide<br />

specific CYP2C metabolite and showed a K m and a V max of 387 μM<br />

and 195 pmol/min/mg proteins respectively. Inhibition assays revealed<br />

that p-tolbut<strong>am</strong>ide hydroxylase activity is inhibited by tienilic acid (a<br />

mechanism-based inhibitor of CYP2C9), but not by fluconazole and<br />

ketoconazole, specific inhibitors of CYP2C9, CYP3A4 respectively.<br />

CONCLUSION: These results suggest that guinea pigs express<br />

an active CYP2C subf<strong>am</strong>ily, which is quite different from the human<br />

CYP2C subf<strong>am</strong>ily. However, when added to the confirmed expression of<br />

CYP1A, CYP2B, CYP2D, CYP2E and CYP3A subf<strong>am</strong>ilies and considering<br />

the number of drugs metabolized by these hepatic subf<strong>am</strong>ilies, this<br />

is reinforcing the pertinence of using the guinea pig model for studying<br />

drug metabolism in a more “clinically relevant” context.<br />

<strong>PI</strong>-83<br />

A NEWLY DEVELOPED PEDIATRIC FORMULATION OF REVA-<br />

TIO FOR PEDIATRIC PULMONARY ARTERIAL HYPERTENSION<br />

PATIENTS IS BIOEQUIVALENT TO THE 1X20 MG REVATIO COM-<br />

MERCIAL TABLET AND TO THE 2X10 MG SILDENAFIL CITRATE<br />

CLINICAL TRIAL TABLETS IN HEALTHY ADULT VOLUNTEERS.<br />

X. Gao, L. Robert, M. O’Gorman, J. Cook; Pfizer, Inc, Groton, CT.<br />

X. Gao: 1. This research was sponsored by; Company/Drug; Pfizer,<br />

Inc. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; Pfizer,<br />

Inc. 5. I <strong>am</strong> a significant stockholder for; Company/Drug; Pfizer, Inc.<br />

6. I will be discussing the following product, which is not labeled for the<br />

use under discussion, or the product is still investigational; Company/<br />

Drug; Revatio formulation for pediatric use. L. Robert: 1. This research<br />

was sponsored by; Company/Drug; Pfizer, Inc. 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Pfizer, Inc. 5. I <strong>am</strong> a significant<br />

stockholder for; Company/ Drug; Pfizer, Inc. 6. I will be discussing the<br />

following product, which is not labeled for the use under discussion, or<br />

the product is still investigational; Company/Drug; Revatio formulation<br />

for pediatric use, which is not approved in US yet, but it is pending<br />

on approval from EU. M. O’Gorman: 1. This research was sponsored<br />

by; Company/Drug; Pfizer Inc. 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Pfizer Inc. 5. I <strong>am</strong> a significant stockholder for;<br />

Company/Drug; Pfizer Inc. 6. I will be discussing the following product,<br />

which is not labeled for the use under discussion, or the product is<br />

still investigational; Company/Drug; the pediatric formulation of Revatio<br />

was not approved in US yet, but it was pending approval in Europe.<br />

J. Cook: 1. This research was sponsored by; Company/ Drug; Pfizer<br />

Inc. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; Pfizer Inc.<br />

5. I <strong>am</strong> a significant stockholder for; Company/ Drug; Pfizer Inc. 6. I will<br />

be discussing the following product, which is not labeled for the use<br />

under discussion, or the product is still investigational; Company/Drug;<br />

Revatio pediatric formulation which has not approved in US yet.<br />

BACKGROUND: Revatio is approved for pediatric pulmonary<br />

arterial hypertension (PAH) patients in EU based on the results of a<br />

large multicentre RCT (STARTS-1). Accordingly, a new pediatric<br />

formulation, 10 mg/mL sildenafil citrate powder for oral suspension<br />

(POS) was developed for the treatment of pediatric PAH patients.<br />

s38 volume 91 supplemenT 1 | marCh 2012 | www.nature.com/cpt


nature publishing group<br />

METHODS: A pivotal randomized, open-label, 3-way crossover<br />

study was conducted to demonstrate bioequivalence of the 20 mg (2 ml<br />

of 10 mg/ml) POS relative to the Revatio 1x 20 mg commercial tablet<br />

and the sildenafil citrate 2x10 mg clinical trial tablet in healthy adult<br />

volunteers under fasting conditions. Forty-two (42) subjects received<br />

three sildenafil treatments in a crossover manner as indicated above.<br />

Plasma s<strong>am</strong>ples were collected at the predefined series times and analyzed<br />

for sildenafil concentrations. Sildenafil PK par<strong>am</strong>eters (C max ,<br />

AUC last , and AUC inf ) were evaluated for bioequivalence of 20 mg POS<br />

relative to Revatio 1x 20 mg tablet and 2x 10 mg tablets.<br />

RESULTS: The statistical analyses demonstrated that 20 mg sildenafil<br />

POS formulation is bioequivalent to 1x 20 mg Revatio tablet and<br />

2x10 mg sildenafil tablets, as the 90% confidence interval (CI) for<br />

the adjusted geometric means of C max , AUC last , and AUC inf , were all<br />

within 80% to 125%, the bioequivalence criteria specified by FDA and<br />

EMEA. In addition, these three formulations were well tolerated by the<br />

healthy volunteers in this study.<br />

CONCLUSION: 20 mg (10 mg/mL) sildenafil citrate POS, a newly<br />

developed pediatric formulation, is bioequivalent to 1x 20 mg Revatio<br />

tablet and 2x10 mg sildenafil tablets.<br />

<strong>PI</strong>-84<br />

A PHASE 1 STUDY TO ASSESS THE EFFECT OF LU AA21<strong>00</strong>4<br />

ON THE STEADY-STATE PHARMACOKINETICS OF LITHIUM<br />

IN HEALTHY MALE SUBJECTS. G. Chen, R. Lee, Z. Zhao, M. Serenko;<br />

Takeda Global Research and Development Center, Deerfield, IL.<br />

G. Chen: 1. This research was sponsored by; Company/Drug; Takeda<br />

Pharmaceutical Company, Ltd, H. Lundbeck A/S. 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Takeda Global Research and<br />

Development Center. 6. I will be discussing the following product,<br />

which is not labeled for the use under discussion, or the product is<br />

still investigational; Company/Drug; Lu AA21<strong>00</strong>4. R. Lee: 1. This<br />

research was sponsored by; Company/Drug; Takeda Pharmaceutical<br />

Company, Ltd, H. Lundbeck A/S. 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Takeda Global Research and Development<br />

Center. 6. I will be discussing the following product, which is not<br />

labeled for the use under discussion, or the product is still investigational;<br />

Company/Drug; Lu AA21<strong>00</strong>4. Z. Zhao: 1. This research was<br />

sponsored by; Company/Drug; Takeda Pharmaceutical Company, Ltd,<br />

H. Lundbeck A/S. 2. I <strong>am</strong> a paid consultant/employee for; Company/<br />

Drug; Takeda Global Research and Development Center. 6. I will<br />

be discussing the following product, which is not labeled for the use<br />

under discussion, or the product is still investigational; Company/<br />

Drug; Lu AA21<strong>00</strong>4. M. Serenko: 1. This research was sponsored by;<br />

Company/Drug; Takeda Pharmaceutical Company, Ltd, H. Lundbeck<br />

A/S. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; Takeda<br />

Global Research and Development Center. 6. I will be discussing the<br />

following product, which is not labeled for the use under discussion, or<br />

the product is still investigational; Company/Drug; Lu AA21<strong>00</strong>4.<br />

BACKGROUND: Lu AA21<strong>00</strong>4 is a multimodal antidepressant,<br />

currently in clinical development for the treatment of major depressive<br />

disorder. Lithium has a narrow therapeutic index and is often<br />

combined with antidepressants for treatment of refractory depression<br />

and bipolar disorders. The pharmacokinetics (PK), safety and<br />

tolerability of lithium when coadministered with Lu AA21<strong>00</strong>4 are of<br />

clinical interest.<br />

METHODS: In this single-blind, multiple-dose, single sequence<br />

study, 18 healthy men (mean age 33.2 years) received lithium carbonate<br />

450 mg extended release (ER) tablet twice daily (BID) and placebo<br />

capsule once daily (QD) on Days 1-14, followed by lithium carbonate<br />

450 mg ER tablet BID and Lu AA21<strong>00</strong>4 10 mg over-encapsulated<br />

tablet QD on Days 15-28. Blood and urine s<strong>am</strong>ples were obtained<br />

up to 12 hours postdose on Days 14 and 28 for the determination of<br />

lithium concentrations. Lithium PK par<strong>am</strong>eters were estimated using<br />

noncompartmental methods. Statistical analysis to evaluate the effect<br />

of multiple doses of Lu AA21<strong>00</strong>4 on the steady state pharmacokinetics<br />

of lithium was performed using ANOVA. Adverse events (AEs) were<br />

monitored throughout the study.<br />

aBsTraCTs<br />

RESULTS: A total of 16 subjects were included in the analysis.<br />

The 90% confidence intervals for the least square mean ratios of Lu<br />

AA21<strong>00</strong>4 and lithium to placebo and lithium for AUC (0-12) , C max , and<br />

C min for lithium ranged from 91.0% to 110.7% (within the 80% to<br />

125% no-effect boundary). Median T max values for Day 14 and Day 28<br />

were identical. Urine PK par<strong>am</strong>eters (A e [0-12], CLr, and Fe) of lithium<br />

on Day 14 and Day 28 were generally similar. Nasal congestion was<br />

the only AE reported more frequently with Lu AA21<strong>00</strong>4 and lithium<br />

treatment (31.3%) than with placebo and lithium treatment (5.6%). All<br />

treatment emergent AEs were mild in intensity.<br />

CONCLUSION: Multiple doses of Lu AA21<strong>00</strong>4 10 mg did not<br />

affect the steady state pharmacokinetics of lithium. Coadministration<br />

of Lu AA21<strong>00</strong>4 10 mg QD with lithium 450 mg ER BID for 14 days<br />

was generally well tolerated.<br />

<strong>PI</strong>-85<br />

A POPULATION ANALYSIS OF UNBOUND MYCOPHENOLIC<br />

ACID PHARMACOKINETICS AND PHARMACOGENETICS IN<br />

ADULT ALLOGENEIC HEMATOPOIETIC CELL TRANSPLAN-<br />

TATION. A. Frymoyer, 1 D. Verotta, 1 P. A. Jacobson, 2 J. Long-Boyle 1 ;<br />

1 University of California, San Francisco, San Francisco, CA, 2 University<br />

of Minnesota, Minneapolis, MN. A. Frymoyer: None. D. Verotta:<br />

None. P.A. Jacobson: None. J. Long-Boyle: None.<br />

BACKGROUND: Unbound mycophenolic acid (MPA u ) pharmacokinetics<br />

(PK) in adult allogeneic hematopoietic cell transplantation<br />

(alloHCT) recipients displays large inter- and intrapatient variability,<br />

and lower exposure is associated with higher rates of acute graft vs<br />

host disease (aGVHD). The aim of this study was to evaluate patientspecific<br />

covariates, both genetic and non-genetic, as contributors to the<br />

variability of unbound MPA exposure and clinical outcomes in adult<br />

alloHCT recipients.<br />

METHODS: Intensive MPA u PK data obtained in 132 adult<br />

alloHCT recipients (38% female; mean [range] age 52 yrs [19-69<br />

yrs]) from three previously completed clinical studies were used. A<br />

population-based PK model of MPA u was developed using nonlinear<br />

mixed-effects modeling (NONMEM). Clinical characteristics,<br />

concomitant medications and genetic polymorphisms (UGT1A8,<br />

UGT1A9, UGT2B7, and MRP2) were evaluated for their impact on<br />

MPA u PK. The relationship between daily MPA u AUC (AUC24) and<br />

aGVHD (grade II-IV and III-IV) was ex<strong>am</strong>ined using a competingrisks<br />

survival regression analysis.<br />

RESULTS: MPA u concentration-time data was well described by a<br />

two-compartment model with first order absorption and linear elimination.<br />

Creatinine clearance was a small but significant predictor of MPA u<br />

CL. No other covariates tested were found to influence MPA u PK. Interpatient<br />

variability in CL, V central , and k a was 37%, 38%, and 73%, respectively.<br />

After oral dosing, bioavailability was low (0.56) and highly variable<br />

(CV 46%). Residual variability was 42%. The risk of aGVHD grade II-IV<br />

decreased 16% for every 2<strong>00</strong> ng*h/ml increase in AUC24 (p


aBsTraCTs nature publishing group<br />

BACKGROUND: Green tea contains large <strong>am</strong>ounts of catechins<br />

which have recently been reported to affect the activity of organic<br />

anion transporting polypeptides as well as P-glycoprotein in vitro. This<br />

study evaluated the effect of green tea on the pharmacokinetics and<br />

pharmacodyn<strong>am</strong>ics of nadolol, a hydrophilic and non-metabolized<br />

beta adrenoceptor antagonist in healthy adults.<br />

METHODS: An open-label, two-period crossover study was conducted<br />

in 12 healthy volunteers. After chronic consumption of green<br />

tea or water (7<strong>00</strong> mL/day) for 14 days, subjects received a single oral<br />

dose of 30 mg nadolol with 350 mL of green tea or water. The total<br />

content of catechins in green tea was 0.9 mg/mL. Blood s<strong>am</strong>pling<br />

and measurements of blood pressure and heart rate were performed<br />

over 48 hours after nadolol administration. Plasma concentrations of<br />

nadolol were determined using HPLC with fluorescence detection.<br />

Pharmacokinetic par<strong>am</strong>eters were estimated by non-compartmental<br />

analysis.<br />

RESULTS: Median T max of nadolol in water and green tea phases<br />

were 3.0 and 1.5 hours, respectively. The geometric mean ratio for<br />

(nadolol + green tea/nadolol + water) and 90% confidence intervals for<br />

nadolol AUC 0-∞ and C max were 0.22 (0.08-0.36) and 0.20 (0.06-0.34),<br />

respectively. The elimination half-life of nadolol in green tea was prolonged<br />

by 2.2 times compared with water. Nadolol reduced systolic<br />

blood pressure by 12% from baseline value in water phase, however no<br />

such reduction was observed in green tea phase.<br />

CONCLUSION: The chronic consumption of green tea may significantly<br />

decrease the plasma concentration of nadolol and reduce its<br />

pharmacodyn<strong>am</strong>ic response.<br />

<strong>PI</strong>-87<br />

A PHARMACOKINETIC AND PHARMACODYNAMIC STUDY<br />

OF PEG-G-CSF IN CANCER PATIENTS WITH CHEMOTHERAPY-<br />

INDUCED NEUTROPENIA. Z. Li, 1 W. Jin, 2 H. Mei, 3 W. Qi, 4 L. Hua 5 ;<br />

1 Institute of Clinical Pharmacology ,West China Hospital of ShiChuan<br />

University, Chengdu, China, 2 Oncology Center ,West China Hospital<br />

of ShiChuan University, Chengdu, China, 3 Oncology Center,West<br />

China Hospital of ShiChuan University, Chengdu, China, 4 Oncology<br />

Department, ShiChuan Province Hospital, Chengdu, China, 5 Chongqin<br />

Biomedicine Limited Company, Chongqin, China. Z. Li: None. W.<br />

Jin: None. H. Mei: None. W. Qi: None. L. Hua: None.<br />

BACKGROUND: The newly developed generic PEG-G-CSF, a<br />

long-acting granulocyte colony-stimulating factor, was established in<br />

China. The aim of this study was to investigate the safety, pharmacokinetic<br />

and pharmacodyn<strong>am</strong>ic profiles of PEG-G-CSF in cancer patients<br />

with chemotherapy-induced neutropenia.<br />

METHODS: This open-label, randomized-sequence, 2-way<br />

crossover study was conducted at two hospitals in China. Ten Chinese<br />

cancer patients (eight patients with nonsmall-cell lung cancer<br />

and two patients with lymphoma) who had experienced severe neutropenia<br />

were enrolled. Patients received the s<strong>am</strong>e chemotherapy<br />

regimen in each cycle. Patients were randomly assigned at a 1:1 ratio<br />

to receive a single subcutaneous dose of 60 ug/kg PEG-G-CSF or a<br />

daily subcutaneous dose of 5 μg/kg filgrastim at the 48 hours after<br />

chemotherapy ended in the first chemotherapy cycle and administration<br />

of the alternate formulation in the second cycle. Pharmacokinetic,<br />

pharmacodyn<strong>am</strong>ic and safety analyses were performed. Blood<br />

s<strong>am</strong>ples for PEG-G-CSF concentration measurement were collected<br />

before PEG-G-CSF administration and from 1 to 432 hours after the<br />

injection of PEG-G-CSF.<br />

RESULTS: PEG-G-CSF and filgrastim were similar for all efficacy<br />

and safety end points. The main pharmacokinetic par<strong>am</strong>eters of PEG-<br />

G-CSF are as follow: T max : 21.0±11.0 h, C max : 138.4±31.3 μg/L, t 1/2z :<br />

64.2±11.0h, CL: 0.<strong>00</strong>6±0.<strong>00</strong>2 L/h/kg, AUC (0~t) : 11105±2643 μg/L/h.<br />

Serum concentrations of PEG-G-CSF began to decrease after day 5 at<br />

the end of chemotherapy and returned to baseline levels on day 15.<br />

CONCLUSION: The tolerance, pharmacokinetic and pharmacodyn<strong>am</strong>ic<br />

characteristics of PEG-G-CSF supports a single dose of 60 ug/<br />

kg subcutaneous injection once per treatment cycle for prevention of<br />

severe neutropenia.<br />

<strong>PI</strong>-88<br />

PHARMACOKINETIC AND PHARMACODYNAMIC EVALU-<br />

ATION OF A NOVEL K + -COMPETITIVE ACID PUMP ANTAGO-<br />

NIST, YH4808, IN HEALTHY VOLUNTEERS. S. J. Yi, 1 S. Y. N<strong>am</strong>, 2<br />

H. M. Byun, 2 S. B. Jang, 2 H. Jeon, 1 S. E. Kim, 1 S. H. Yoon, 1 K. S. Lim, 1<br />

J. Y. Cho, 1 S. G. Shin, 1 I. J. Jang, 1 K. S. Yu 1 ; 1 Seoul National University<br />

College of Medicine and Hospital, Seoul, Korea, Republic of, 2 R&D,<br />

Yuhan Corporation, Seoul, Republic of Korea. S.J. Yi: 1. This research<br />

was sponsored by; Company/Drug; Yuhan Co. Ltd. (Seoul, Korea).<br />

S.Y. N<strong>am</strong>: 1. This research was sponsored by; Company/Drug;<br />

Yuhan Co. Ltd. (Seoul, Korea). 2. I <strong>am</strong> a paid consultant/employee for;<br />

Company/Drug; Yuhan Co. Ltd. (Seoul, Korea). H.M. Byun: 1. This<br />

research was sponsored by; Company/Drug; Yuhan Co. Ltd. (Seoul,<br />

Korea). 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; Yuhan<br />

Co. Ltd. (Seoul, Korea). S.B. Jang: 1. This research was sponsored by;<br />

Company/Drug; Yuhan Co. Ltd. (Seoul, Korea). 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Yuhan Co. Ltd. (Seoul, Korea).<br />

H. Jeon: 1. This research was sponsored by; Company/Drug; Yuhan<br />

Co. Ltd. (Seoul, Korea). S.E. Kim: 1. This research was sponsored by;<br />

Company/Drug; Yuhan Co. Ltd. (Seoul, Korea). S.H. Yoon: 1. This<br />

research was sponsored by; Company/Drug; Yuhan Co. Ltd. (Seoul,<br />

Korea). K.S. Lim: 1. This research was sponsored by; Company/Drug;<br />

Yuhan Co. Ltd. (Seoul, Korea). J.Y. Cho: 1. This research was sponsored<br />

by; Company/Drug; Yuhan Co. Ltd. (Seoul, Korea). S.G. Shin: 1. This<br />

research was sponsored by; Company/Drug; Yuhan Co. Ltd. (Seoul,<br />

Korea). I.J. Jang: 1. This research was sponsored by; Company/Drug;<br />

Yuhan Co. Ltd. (Seoul, Korea). K.S. Yu: 1. This research was sponsored<br />

by; Company/Drug; Yuhan Co. Ltd. (Seoul, Korea).<br />

BACKGROUND: YH4808, a novel K + -competitive acid pump<br />

antagonist, is under clinical development for the treatment of gastroesophageal<br />

reflux disease. The aim of this study was to evaluate the<br />

pharmacokinetics (PK), pharmacodyn<strong>am</strong>ics and tolerability following<br />

single and multiple oral doses of YH4808.<br />

METHODS: A dose-block randomized, double-blind, placebo- and<br />

active comparator-controlled, single/multiple ascending dose study was<br />

conducted in healthy subjects (single dose of 30-8<strong>00</strong>mg; multiple dose<br />

of 1<strong>00</strong>, 2<strong>00</strong>, 4<strong>00</strong>mg per day for 7 days). In each dose group, 12 subjects<br />

were assigned to YH4808, placebo or esomeprazole (E) 40mg QD in a<br />

ratio of 8:2:2. A 24-h gastric pH was measured before and after single or<br />

multiple dosing. PK was analyzed using noncompartmental methods.<br />

RESULTS: A total of 124 subjects completed the study with neither<br />

serious nor dose-dependent adverse events. Plasma concentrations<br />

of YH4808 reached peak levels within 1.0h, and then declined<br />

bi-exponentially with an effective half-life of 2.3-5.4h. The AUC and<br />

C max increased dose-proportionally and accumulation after multiple<br />

dosing was minimal. After YH4808 administration, mean pH and proportion<br />

of pH>4 holding time increased dose-dependently compared<br />

to baseline or placebo, and YH4808 ≥2<strong>00</strong> mg/day maintained gastric<br />

pH higher than E (Mean pH: 5.1-5.4 vs 4.0 after single dose, 5.0-5.2<br />

vs 4.3 at steady state; proportion of pH>4 holding time: 67.9-76.3%<br />

vs 51.5% after single dose, 71.5-78.5% vs 58.3% at steady state). In<br />

all doses of YH4808, the area under pH-time curve from 0 to 2 h was<br />

significantly greater than that of E (Mean AUEC 0-2h (pH*min): 367.8-<br />

530.3 vs 276.7 after single dose, 524.9-734.5 vs 387.7 at steady state),<br />

indicating that YH4808 increases gastric pH more rapidly than E.<br />

CONCLUSION: YH4808 is safe and well tolerated and exhibits<br />

dose-proportional PK over a dose range of 30-8<strong>00</strong>mg. It was more<br />

sustained, greater and faster gastric acid inhibition than E at doses of<br />

≥2<strong>00</strong> mg/day.<br />

<strong>PI</strong>-89<br />

EXPOSURE-RESPONSE MODELING OF LY2439821 (AN<br />

ANTI-IL-17 MONOCLONAL ANTIBODY) IN PATIENTS WITH<br />

MODERATE-TO-SEVERE PSORIASIS. C. Tang, 1 S. Choi, 1<br />

J. Satterwhite, 2 G. C<strong>am</strong>eron, 2 S. Banerjee, 2 L. Th<strong>am</strong> 1 ; 1 Lilly-NUS<br />

Centre for Clinical Pharmacology Pte Ltd, Singapore, Singapore,<br />

2 Eli Lilly and Company, Indianapolis, IN. C. Tang: 1. This research<br />

was sponsored by; Company/Drug; Eli Lilly and Company. 2. I <strong>am</strong><br />

s40 volume 91 supplemenT 1 | marCh 2012 | www.nature.com/cpt


nature publishing group<br />

a paid consultant/employee for; Company/Drug; Eli Lilly and Company.<br />

S. Choi: 1. This research was sponsored by; Company/Drug;<br />

Eli Lilly and Company. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug;<br />

Eli Lilly and Company. J. Satterwhite: 1. This research<br />

was sponsored by; Company/Drug; Eli Lilly and Company. 2. I <strong>am</strong><br />

a paid consultant/employee for; Company/Drug; Eli Lilly and Company.<br />

G. C<strong>am</strong>eron: 1. This research was sponsored by; Company/<br />

Drug; Eli Lilly and Company. 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Eli Lilly and Company. S. Banerjee: 1. This<br />

research was sponsored by; Company/Drug; Eli Lilly and Company.<br />

2. I <strong>am</strong> a paid consultant/employee for; Company/Drug; Eli Lilly and<br />

Company. L. Th<strong>am</strong>: 1. This research was sponsored by; Company/<br />

Drug; Eli Lilly and Company. 2. I <strong>am</strong> a paid consultant/employee for;<br />

Company/Drug; Eli Lilly and Company. 6. I will be discussing the<br />

following product, which is not labeled for the use under discussion, or<br />

the product is still investigational; Company/Drug; LY2439821.<br />

BACKGROUND: LY2439821 is an anti-interleukin-17 monoclonal<br />

antibody in development for treatment of psoriasis. The objective<br />

was to describe the exposure-response relationship of LY2439821<br />

and PASI (Psoriasis Area and Severity Index) scores in a Phase 2b<br />

dose-finding study.<br />

METHODS: A semi-mechanistic indirect response model was<br />

used to describe dose-concentration-clinical efficacy relationships<br />

for psoriasis following subcutaneous administration of LY2439821.<br />

LY2439821 and placebo were assumed to exhibit an inhibitory effect<br />

on formation of psoriatic lesions represented by PASI score. The PASI<br />

75 and 90 (75% and 90% reductions in PASI score, respectively)<br />

responses for each dose were subsequently determined through 2<strong>00</strong><br />

simulations of model-predicted PASI scores.<br />

RESULTS: PK/PD modeling was conducted via NONMEM VII on<br />

651 LY2439821 PK concentrations and 1445 PASI scores from 142<br />

patients with moderate-to-severe psoriasis. Patients received placebo<br />

and doses ranging from 10 to 150 mg LY2439821 on weeks 0, 2, 4,<br />

8, 12 and 16. A sequential modeling approach using empirical Bayesian<br />

estimates of individual PK par<strong>am</strong>eters from a 2-compartment PK<br />

model with first-order SC absorption and elimination rate constants<br />

was applied. Population par<strong>am</strong>eter estimates [95% CI] for maximum<br />

placebo response, placebo effect half-life, maximum LY2439821<br />

response, baseline PASI score, Hill’s coefficient and rate constant for<br />

improvement of skin lesions were 13.2 [-0.709, 28.1] %, 10.8 [1.60,<br />

21.4] days, 1<strong>00</strong>% (fixed), 15.9 [15.3, 16.8] PASI units, 0.805 [0.724,<br />

0.922], and 0.889 [0.760, 1.02] PASI units/day, respectively. At 10 mg,<br />

exposures were close to concentration for half maximal effect.<br />

CONCLUSION: The PK/PD model described exposure-response<br />

relationship for LY2439821 in psoriasis patients well and modelpredicted<br />

PASI 75 and PASI 90 response concurred with observed<br />

response rates. This model was utilized to inform dose-selection for<br />

Phase 3 development.<br />

<strong>PI</strong>-90<br />

EFFECT OF ACTIVATED CHARCOAL ON THE PHARMA-<br />

COKINETICS OF A<strong>PI</strong>XABAN IN HEALTHY SUBJECTS. X. Wang,<br />

G. Tirucherai, N. Pannacciulli, J. Wang, A. Elsrougy, V. Teslenko,<br />

M. Chang, D. Zhang, C. Frost; Bristol-Myers Squibb, Princeton,<br />

NJ. X. Wang: 1. This research was sponsored by; Company/Drug;<br />

Bristol-Myers Squibb. 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug;<br />

Bristol-Myers Squibb. G. Tirucherai: 1. This research<br />

was sponsored by; Company/Drug; Bristol-Myers Squibb. 2. I <strong>am</strong> a<br />

paid consultant/employee for; Company/Drug; Bristol-Myers Squibb.<br />

N. Pannacciulli: 1. This research was sponsored by; Company/<br />

Drug; Bristol-Myers Squibb. 2. I <strong>am</strong> a paid consultant/employee for;<br />

Company/Drug; Bristol-Myers Squibb. J. Wang: 1. This research<br />

was sponsored by; Company/Drug; Bristol-Myers Squibb. 2. I <strong>am</strong><br />

a paid consultant/employee for; Company/Drug; Bristol-Myers<br />

Squibb. A. Elsrougy: 1. This research was sponsored by; Company/<br />

Drug; Bristol-Myers Squibb. 2. I <strong>am</strong> a paid consultant/employee for;<br />

Company/ Drug; Bristol-Myers Squibb. V. Teslenko: 1. This research<br />

was sponsored by; Company/Drug; Bristol-Myers Squibb. 2. I <strong>am</strong><br />

aBsTraCTs<br />

a paid consultant/employee for; Company/Drug; Bristol-Myers<br />

Squibb. M. Chang: 1. This research was sponsored by; Company/<br />

Drug; Bristol-Myers Squibb. 2. I <strong>am</strong> a paid consultant/employee for;<br />

Company/ Drug; Bristol-Myers Squibb. D. Zhang: 1. This research<br />

was sponsored by; Company/Drug; Bristol-Myers Squibb. 2. I <strong>am</strong> a<br />

paid consultant/employee for; Company/Drug; Bristol-Myers Squibb.<br />

C. Frost: 1. This research was sponsored by; Company/Drug; Bristol-<br />

Myers Squibb. 2. I <strong>am</strong> a paid consultant/employee for; Company/<br />

Drug; Bristol-Myers Squibb.<br />

BACKGROUND: Apixaban is a novel, orally-active factor Xa<br />

inhibitor approved in Europe for preventing venous thromboembolism<br />

following knee or hip replacement surgery. Presently, there is no antidote<br />

for apixaban overdose or accidental ingestion. Activated charcoal<br />

is commonly used to manage overdose or accidental ingestion of medicines.<br />

A study in beagle dogs showed up to 19% and 37% decrease in<br />

apixaban exposure when charcoal (250 mg/kg) was administered 1 and<br />

3 hours after a dose of apixaban 5 mg/kg, respectively. This study evaluated<br />

the effect of charcoal on apixaban exposure in healthy subjects.<br />

METHODS: This was an open-label, three-treatment, three-period,<br />

randomized, crossover study of single dose apixaban (20 mg) administered<br />

with or without charcoal suspension (50 g activated charcoal and<br />

96 g sorbitol in 240 mL water) to 18 healthy subjects. Charcoal suspension<br />

was administered at 2 hours or 6 hours postdose. Blood s<strong>am</strong>ples<br />

were collected up to 72 hours post apixaban dose, with a 4-day washout<br />

between each treatment. Pharmacokinetic par<strong>am</strong>eters (C max , T max ,<br />

AUC( 0-T ), and AUC( INF )) were derived from plasma concentration-time<br />

data for apixaban. A general linear mixed effect model analysis was performed<br />

to estimate the effect of charcoal on apixaban exposure.<br />

RESULTS: Compared to apixaban alone, apixaban mean AUC( INF )<br />

was decreased by 50% (ratio of LS means: 0.50; 90% CI: 0.46 - 0.55)<br />

when charcoal was administered 2 hours postdose and by 26% (ratio of<br />

LS means: 0.74; 90% CI: 0.67 - 0.81) when charcoal was administered<br />

6 hours postdose. Mean C max and median T max were similar across all<br />

3 treatments.<br />

CONCLUSION: Administration of activated charcoal up to 6 hours<br />

after apixaban administration significantly reduced apixaban exposure.<br />

Activated charcoal may be useful to manage apixaban overdose or<br />

accidental ingestion.<br />

<strong>PI</strong>-91<br />

A CLINICAL STUDY TO ASSESS EFFECT OF RIFAM<strong>PI</strong>N ON<br />

THE PHARMACOKINETICS (PK) OF NERATINIB (HKI-272),<br />

A PAN-ERBB RECEPTOR TYROSINE KINASE INHIBITOR,<br />

WHEN ADMINISTERED CONCOMITANTLY IN HEALTHY<br />

SUBJECTS. R. Abbas, B. Hug, C. Leister, D. Sonnichsen; Pfizer,<br />

Collegeville, PA. R. Abbas: 2. I <strong>am</strong> a paid consultant/employee for;<br />

Company/Drug; Pfizer. B. Hug: 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Pfizer. C. Leister: 2. I <strong>am</strong> a paid consultant/<br />

employee for; Company/Drug; Pfizer. D. Sonnichsen: 2. I <strong>am</strong> a paid<br />

consultant/employee for; Company/Drug; Pfizer.<br />

BACKGROUND: Neratinib (NER) is a potent, low-molecularweight,<br />

orally administered, irreversible pan-ErbB receptor tyrosine<br />

kinase inhibitor that has demonstrated activity in patients with ErbB2+<br />

breast cancer. In vitro data indicate that NER is mainly metabolized<br />

by CYP3A4 and flavin-containing mono-oxygenases (FMOs), with<br />

CYP3A4 forming M3, M6, and small <strong>am</strong>ounts of M7, and FMOs forming<br />

most of M7. The objective of this study was to assess the effect of<br />

multiple doses of rif<strong>am</strong>pin (potent CYP3A4 inducer, RIF) on the PK<br />

and safety of a single dose of NER in healthy subjects.<br />

METHODS: Subjects received NER 240 mg alone with breakfast<br />

on day 1, RIF 6<strong>00</strong> mg alone (fasting) on days 8-13 and 15, and RIF<br />

6<strong>00</strong> mg (fasting) followed by NER 240 mg with breakfast 1 hour later<br />

on day 14. Blood s<strong>am</strong>ples were collected on days 1 and 14 before and<br />

through 48 hours after NER administration. Plasma concentrations of<br />

NER and metabolites (M3, M6, M7) were measured by LC/MS/MS.<br />

PK analyses were performed using a noncompartmental method.<br />

RESULTS: On-treatment adverse events (AEs) occurred in<br />

13 (54%) subjects after administration of NER alone and 5 (22%)<br />

CliniCal pharmaCology & TherapeuTiCs | volume 91 supplemenT 1 | marCh 2012 s41


aBsTraCTs nature publishing group<br />

subjects after coadministration of NER+RIF. The most common<br />

on-treatment AEs were diarrhea (n=8 [33%], oropharyngeal pain<br />

(6 [25%]), and seborrhoeic dermatitis (2 [8%]). There were no AErelated<br />

discontinuations. As a result of rif<strong>am</strong>pin’s induction effect, during<br />

coadministration, NER C max and AUC substantially decreased to<br />

24.1% and 12.7%, respectively, of values observed with NER alone;<br />

correspondingly, NER metabolite C max was significantly increased by<br />

about 2.3-fold for M3, 1.5-fold for M6, and 1.4-fold for M7 compared<br />

with values after administration of NER alone.<br />

CONCLUSION: The results indicate that NER, a substrate<br />

of CYP3A4, is susceptible to interaction with potent CYP3A4<br />

inducers.<br />

<strong>PI</strong>-92<br />

USE OF A PHARMACOKINETIC-PHARMACODYNAMIC<br />

(PKPD) MODEL FRAMEWORK IN THE DESIGN OF A DOSING<br />

REGIMEN FOCUSED ON RESPONSE. A. Grover, L. Z. Benet; University<br />

of California, San Francisco, San Francisco, CA. A. Grover:<br />

None. L.Z. Benet: None.<br />

BACKGROUND: Grover and Benet (J Pharmacokinet Pharmacodyn<br />

(2011)) argue that pharmacokinetic dosing interval predictors<br />

will be more relevant for direct PKPD model drugs than they will be<br />

for indirect PKPD model drugs. As the direct-indirect distinction is<br />

actually a continuum, we sought to determine if a pattern in PKPD<br />

model par<strong>am</strong>eters (k e0 and k out for the indirect link (IDL) and indirect<br />

response (IDR) models, respectively) can be discerned to be used as<br />

additional guidance in determining a dosing regimen.<br />

METHODS: The relevance of pharmacokinetic dosing interval predictors<br />

was determined as the ratio of the longest recommended dosing<br />

interval to the time plasma concentrations are over an efficacy EC 50 .<br />

Using a number of case studies from the literature, we simulated the<br />

time plasma concentrations are above the EC 50 during multiple dosing<br />

steady state at the second to lowest approved dose and at the longest<br />

recommended dosing interval.<br />

RESULTS: The relationship between the ratio of the dosing interval<br />

to time above EC 50 and k e0 or k out is approximately log-linear (r 2 =<br />

0.750, p < 0.<strong>00</strong>1, n = 15), and a k e0 or k out value greater than 2 hr -1 (e.g.<br />

terbutaline, atropine, ranitidine) provides a dosing interval predicted<br />

by the pharmacokinetics. A finding that k e0 or k out is below 0.5 hr -1<br />

(e.g. terazosin, dex<strong>am</strong>ethasone) indicates that pharmacokinetic dosing<br />

interval predictors will not be clinically relevant. By combining efficacy<br />

and toxicity PKPD models for a single drug (here, levodopa), we<br />

show that this regression can be used to design a dosing regimen such<br />

that efficacy falls along the regression and toxicities appear underdosed.<br />

CONCLUSION: As a basic PKPD model should be derived early<br />

in clinical trials, the log-linear regression can be used as a fr<strong>am</strong>ework<br />

within which to understand the relevance of pharmacokinetic dosing<br />

interval predictors and as a guide for determining dosing regimens that<br />

are considerate of efficacious and toxic response for both IDL and IDR<br />

model drugs.<br />

<strong>PI</strong>-93<br />

ORAL MIDAZOLAM (MDZ) PARTIAL AREA-UNDER CURVE<br />

(AUC) DOES NOT RELIABLY PREDICT CYTOCHROME P450<br />

(CYP) 3A BASELINE ACTIVITY IN HEALTHY SUBJECTS. W.<br />

Tai, 1 S. L. Gong, 1 S. M. Tsunoda, 1 H. E. Greenberg, 2 J. C. Gorski, 3<br />

S. R. Penzak, 4 S. A. Stoch, 5 J. D. Ma 1 ; 1 UCSD, Skaggs School of<br />

Pharmacy & Pharmaceutical Sciences, La Jolla, CA, 2 Department of<br />

Pharmacology and Experimental Therapeutics, Thomas Jefferson University,<br />

Philadelphia, PA, 3 Mylan Pharmaceuticals, Morgantown, WV,<br />

4 Pharmacy Department, National Institutes of Health, Bethesda, MD,<br />

5 Merck, Rahway, NJ. W. Tai: None. S.L. Gong: None. S.M. Tsunoda:<br />

None. H.E. Greenberg: None. J.C. Gorski: None. S.R. Penzak:<br />

None. S.A. Stoch: None. J.D. Ma: None.<br />

BACKGROUND: MDZ clearance (CL) and AUC INF are used as<br />

biomarkers to predict CYP3A activity. A recent study recommended<br />

a MDZ partial AUC from 2 to 4 hr to predict MDZ metabolic CL. We<br />

evaluated a partial AUC approach to predict MDZ CL and thus CYP3A<br />

activity during baseline conditions.<br />

METHODS: MDZ plasma concentrations from 116 healthy adults<br />

were obtained from seven published studies. Observed CL, AUC, and<br />

partial AUCs over several intervals were determined via noncompartmental<br />

analysis. Subject data were randomly divided into a training<br />

set (n=30) and a validation set (n=86). Linear regression analyses of<br />

log-transformed partial AUCs were performed using the training set.<br />

MDZ predicted CL was determined from the validation set. Backtransformed<br />

predicted CL was compared to observed CL. Bias and<br />

precision were evaluated by percent mean precision error (%MPE),<br />

percent mean absolute error (%MAE), and percent root mean square<br />

error (%RMSE).<br />

RESULTS:<br />

Model<br />

equation<br />

AUC 0-2 AUC 0-6 AUC 2-4<br />

-0.33*<br />

[log(AUC 0-2 )] +5.45<br />

-0.43*<br />

[log(AUC 0-6 )] +5.68<br />

-0.44*<br />

[log(AUC 2-4 )] +5.45<br />

r2 0.26 0.40 0.47<br />

Mean<br />

predicted<br />

CL<br />

113.04 L/hr 114.29 L/hr 113.27 L/hr<br />

Mean<br />

observed<br />

CL<br />

115.34 L/hr 115.34 L/hr 115.34 L/hr<br />

%MPE<br />

(±5%)<br />

-1.7 -0.7 -1.7<br />

%MAE<br />

(


nature publishing group<br />

the validation set. Bias and precision were assessed via percent mean<br />

prediction error (%MPE), percent mean absolute error (%MAE), and<br />

percent root mean square error (%RMSE), with acceptable limits being<br />

±5,


aBsTraCTs nature publishing group<br />

<strong>PI</strong>-97<br />

POPULATION PHARMACOKINETIC ANALYSIS OF RUX-<br />

OLITINIB IN SUBJECTS WITH MYELOFIBROSIS. X. Chen, X.<br />

Liu, S. Peng, W. V. Willi<strong>am</strong>s, V. Sandor, S. Yeleswar<strong>am</strong>; Incyte Corp.,<br />

Wilmington, DE. X. Chen: None. X. Liu: None. S. Peng: None.<br />

W.V. Willi<strong>am</strong>s: None. V. Sandor: None. S. Yeleswar<strong>am</strong>: None.<br />

BACKGROUND: A population PK model was developed to characterize<br />

the PK of ruxolitinib, a selective inhibitor of Janus kinase<br />

(JAK) 1 and 2, and a Class 1 compound in the Biopharmaceutical Classification<br />

System (BCS), in development for treatment of myeloproliferative<br />

neoplasms.<br />

METHODS: Data from a Phase 2 and a Phase 3 study were used as<br />

the modeling dataset. Data from a second Phase 3 study was used for<br />

validation. Demographics, disease state, clinical laboratory values and<br />

concomitant medications were explored as predictors of PK variability.<br />

Stepwise regression was used to include and eliminate covariates. The<br />

visual predictive check (VPC) and external data validation was used to<br />

assess the overall predictive performance of the final model.<br />

RESULTS: The modeling dataset included 2187 concentrations<br />

from 272 subjects. The external validation dataset contained <strong>106</strong>7 concentrations<br />

from 142 subjects. The PK of ruxolitinib was adequately<br />

described by a 2-compartment disposition model with first-order<br />

absorption and linear elimination. All model par<strong>am</strong>eters were estimated<br />

with good precision (≤ 20.3 %SEM and ≤ 43.7% SEM for fixed<br />

and random effect par<strong>am</strong>eters, respectively). Gender and body weight<br />

were identified as covariates for CL and Vc/F, respectively. Apparent<br />

oral clearance was 22.1 L/h and 17.7 L/h for a typical male and female<br />

subject, respectively, with 39.1% unexplained inter-individual variability<br />

(IIV). The typical V c /F for a subject with a median weight of 72.9<br />

kg was estimated to be 58.6 L, with 28% unexplained IIV. The VPC<br />

showed that 89.9% of the observed data fell within the 5th and 95th<br />

percentiles of the simulated data. The model predictive performance<br />

was validated by the external data.<br />

CONCLUSION: Although gender and body weight were statistically<br />

significant predictors of ruxolitinib PK, the geometric mean ratios<br />

for both par<strong>am</strong>eters fell within interval of .5 to 2 and were therefore not<br />

clinically significant.<br />

<strong>PI</strong>-98<br />

POPULATION PK/PD ANALYSIS OF SPLEEN VOLUME IN<br />

SUBJECTS WITH MYELOFIBROSIS (MF) ADMINISTERED<br />

WITH RUXOLITINIB. X. Chen, X. Liu, S. Peng, W. V. Willi<strong>am</strong>s,<br />

V. Sandor, S. Yeleswar<strong>am</strong>; Incyte Corp., Wilmington, DE. X. Chen:<br />

None. X. Liu: None. S. Peng: None. W.V. Willi<strong>am</strong>s: None. V. Sandor:<br />

None. S. Yeleswar<strong>am</strong>: None.<br />

BACKGROUND: A population PK/PD model was developed to<br />

characterize the time course of spleen volume in MF patients treated<br />

with ruxolitinib, a selective inhibitor of Janus kinase (JAK) 1 and 2.<br />

METHODS: Data from a Phase 2 and a Phase 3 study were used<br />

as the modeling dataset. Data from a second Phase 3 study was used<br />

for validation. Population PK/PD analysis was conducted sequentially.<br />

The average daily steady-state plasma concentrations (Cave) derived<br />

from the population PK model were used as an exposure measure.<br />

An indirect response (IDR) model was used to characterize the time<br />

course of spleen volume. An inhibitory E max function was applied to<br />

the formation rate constant for response. Covariates evaluated included<br />

age, gender, weight, race, JAK2V617F mutation, MDRD GFR, total<br />

bilirubin, MF duration etc.<br />

RESULTS: The modeling dataset included 919 spleen volume<br />

measurements from 253 subjects. The external validation dataset<br />

contained 592 spleen volume measurements from 128 subjects. The<br />

structural PK/PD model was par<strong>am</strong>eterized in terms of k in and k out<br />

describing the increase and decrease in spleen volume, respectively.<br />

An E plc of 0.0505 describes the small increment in spleen volume over<br />

time in the absence of drug. Gender and JAK2V617F mutation status<br />

were significant predictors of the IC 50 for spleen volume reduction.<br />

The typical I max was a decrease of 0.765 the typical IC 50 was estimated<br />

at 414 nM and 206 nM for males who are negative and positive for<br />

the JAK2V617F mutation, respectively, and 244 nM and 122 nM for<br />

females who are negative and positive for the JAK2V617F mutation,<br />

respectively. The typical Cave for 15 mg BID was 202 nM. Visual predictive<br />

check and external validation showed that the exposure-spleen<br />

volume relationship was adequately described by the model.<br />

CONCLUSION: Gender and JAK2V617F mutation status were<br />

statistically significant predictors of the IC 50 for spleen volume reduction<br />

by ruxolitinib in MF patients.<br />

<strong>PI</strong>-99<br />

POPULATION PK/PD ANALYSIS OF TOTAL SYMPTOM<br />

SCORE (MFSAF) IN SUBJECTS WITH MYELOFIBROSIS (MF)<br />

TREATED WITH RUXOLITINIB. X. Chen, X. Liu, S. Peng, W. V.<br />

Willi<strong>am</strong>s, V. Sandor, S. Yeleswar<strong>am</strong>; Incyte Corp., Wilmington, DE.<br />

X. Chen: None. X. Liu: None. S. Peng: None. W.V. Willi<strong>am</strong>s: None.<br />

V. Sandor: None. S. Yeleswar<strong>am</strong>: None.<br />

BACKGROUND: A population PK/PD model was developed to<br />

characterize the time course of MFSAF in MF patients treated with<br />

ruxolitinib, a selective inhibitor of Janus kinase (JAK) 1 and 2.<br />

METHODS: Data from a Phase 3 study was used as the modeling<br />

dataset; no external validation dataset was available. The MFSAF was<br />

collected daily from 7 days prior to the first dose through week 24 and<br />

included symptoms of night sweats, itching, abdominal discomfort,<br />

pain under ribs on left, feeling of fullness (early satiety), and muscle/<br />

bone pain. Population PK/PD analysis was conducted sequentially.<br />

The average daily steady-state plasma concentrations derived from<br />

the population PK model was selected as an exposure measure. The<br />

MFSAF was modeled with a modified indirect response (IDR) model,<br />

in which a logit transformation was implemented to constrain model<br />

predictions between scores of 0 and 60; the drug effect was characterized<br />

via an inhibitory E max function applied to the first-order equilibration<br />

rate constant (k out ).<br />

RESULTS: The dataset contained 1,566 data points from 242<br />

subjects. The mean population estimate of I max was 58 and the IC 50<br />

was 233 nM, indicating a substantial reduction in MFSAF at average<br />

ruxolitinib plasma concentrations achieved with ≥10 mg BID dosing<br />

regimens. A placebo effect on the production of response was included<br />

in the model by incorporating an E plc fixed effect term describing a<br />

proportional shift in k out . Baseline MFSAF and blood transfusion<br />

status were each statistically significant predictors of E plc . No statistically<br />

significant covariates were identified for MFSAF change induced<br />

by ruxolitinib. The visual predictive check showed that MFSAF was<br />

described adequately by the model.<br />

CONCLUSION: The time course of MFSAF could be adequately<br />

described by a modified IDR model and no subpopulations with altered<br />

MFSAF in the presence of ruxolitinib were identified.<br />

<strong>PI</strong>-1<strong>00</strong><br />

TOLVAPTAN PHARMACOKINETICS (PK) AND PHARMACO-<br />

DYNAMICS (PD) IN HEALTHY CAUCASIAN AND JAPANESE<br />

MEN FOLLOWING 30 MG IN EITHER THE FASTED STATE<br />

OR FOLLOWING A HIGH FAT MEAL OR JAPANESE STAND-<br />

ARD MEAL. S. E. Shoaf, 1 S. Kim, 2 P. Bricmont, 1 S. Mallikaarjun 1 ;<br />

1 Otsuka Pharmaceutical Development & Commercialization, Inc,<br />

Rockville, MD, 2 Otsuka Pharmaceutical Co., Ltd., Osaka, Japan.<br />

S.E. Shoaf: 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug;<br />

OPDC. S. Kim: 2. I <strong>am</strong> a paid consultant/employee for; Company/<br />

Drug; OPC-J. P. Bricmont: 2. I <strong>am</strong> a paid consultant/employee for;<br />

Company/Drug; OPDC. S. Mallikaarjun: 2. I <strong>am</strong> a paid consultant/<br />

employee for; Company/Drug; OPDC.<br />

BACKGROUND: Tolvaptan (TLV) is a selective vasopressin receptor<br />

(V 2 ) antagonist approved in the US and Europe for hyponatremia<br />

and in Japan for volume overload in heart failure when adequate<br />

response is not obtained with other diuretics. A combined race and<br />

comparative food effect trial was conducted for bridging purposes.<br />

s44 volume 91 supplemenT 1 | marCh 2012 | www.nature.com/cpt


nature publishing group<br />

METHODS: An open-label, parallel-arm, 3-period, randomized,<br />

crossover trial was conducted to determine the effect of food (US FDA<br />

high fat meal [HFM] and Japanese standard meal [JSM, 6<strong>00</strong> calories,<br />

21% fat, 2.1 g sodium]) on the PK and PD of TLV in 24 Japanese and<br />

25 Caucasian healthy men. Each group was randomized to be administered<br />

a single oral 30 mg dose in the fasted state or immediately following<br />

a HFM or JSM; doses were separated by 72 h. Serial blood s<strong>am</strong>ples<br />

for a noncompartmental PK analysis were obtained for 48 h postdose.<br />

Urine volume and fluid intake were monitored for 24 h postdose.<br />

RESULTS: TLV concentrations were higher in Japanese men in the<br />

fasted and HFM states, most likely due to lower body weight as body<br />

weight adjusted clearance values were similar. A HFM increased TLV<br />

exposure 12-18% in both groups. A JSM increased TLV exposure<br />

10-18% in Japanese men but only 2-6% in Caucasian men. Fluid balance<br />

was significantly lower in Japanese men. Administration with food produced<br />

no clinically significant differences in 24-hour urine volume.<br />

CONCLUSION: TLV PK is not affected by race; body weight is a<br />

factor that affects exposure. TLV can be administered with or without<br />

food.<br />

Mean (SD) PK and PD Par<strong>am</strong>eters Following 30 mg Tolvaptan<br />

Caucasian (n=24) Japanese (n=24)<br />

Par<strong>am</strong>eter Fasted HFM JSM Fasted HFM JSM<br />

C max (ng/mL)<br />

AUC ∞<br />

(μg·h/mL)<br />

CL/F<br />

(mL/min/kg)<br />

Change From<br />

Baseline in<br />

24-hour Urine<br />

Volume (L)<br />

Change From<br />

Baseline in<br />

24-hour Fluid<br />

Balance (L)<br />

247<br />

(71.0)<br />

1.44<br />

(0.46)b<br />

5.14<br />

(1.85)b<br />

4.45<br />

(1.77) f<br />

-0.83<br />

(0.66) f<br />

319<br />

(175)<br />

1.71<br />

(0.71)c<br />

4.65<br />

(2.23)c<br />

5.28<br />

(1.75) f<br />

-0.64<br />

(1.35) f<br />

a n=22, b n=19, c n=17, d n=21, e n=20, f n=23<br />

273<br />

(113)<br />

1.58<br />

(0.72)d<br />

5.19<br />

(2.49)d<br />

4.93<br />

(1.94) f<br />

-0.80<br />

(1.18) f<br />

273<br />

(80.7)<br />

1.73<br />

(0.76)e<br />

5.36<br />

(2.09)e<br />

4.57<br />

(1.79)<br />

-1.17<br />

(0.83)<br />

320<br />

(129)<br />

2.04<br />

(0.91)e<br />

4.64<br />

(1.98)e<br />

5.45<br />

(2.07)<br />

-1.27<br />

(1.01)<br />

335<br />

(157)a<br />

2.01<br />

(1.02)e<br />

4.83<br />

(2.03)e<br />

5.21<br />

(2.02)a<br />

-1.58<br />

(1.30)a<br />

<strong>PI</strong>-101<br />

ASSEMBLING OF A MULTICENTER AND MULTINATIONAL<br />

DATA BASE TO DEVELOP AND VALIDATE A PHYSIOLOGI-<br />

CALLY BASED PHARMACOKINETIC SOTALOL MODEL FOR<br />

PEDIATRIC EXTRAPOLATION. F. Khalil, S. Laeer; Department of<br />

Clinical Pharmacy and Pharmacotherapy, Heinrich-Heine-University<br />

of Duesseldorf, Duesseldorf, Germany. F. Khalil: None. S. Laeer:<br />

None.<br />

BACKGROUND: Physiology based models arise as an attractive<br />

tool to extrapolate and explore drug disposition from adults into children<br />

by incorporating information about organs growth and development.<br />

Such models are, however, associated with uncertainty and might<br />

be biased, especially when only adult data sets from single center pharmacokinetic<br />

trials are used during model development and validation.<br />

Therefore, a multicenter, multinational pharmacokinetic data base was<br />

collected to develop and validate a physiology based pharmacokinetic<br />

adult model for sotalol.<br />

METHODS: Literature was screened to collect multiple pharmacokinetic<br />

adult sotalol data sets. Simcyp simulator v.11 was used to<br />

develop a PBPK model of sotalol using the necessary input par<strong>am</strong>eters<br />

including drug physicochemical properties. Then, simulations were<br />

performed to match the collected populations and trials’ conditions.<br />

The results of predicted plasma profiles were presented with observed<br />

data for visual inspection. As quantitative measure of model performance,<br />

AUC 0-tlast ratio of observed versus predicted was reported.<br />

RESULTS: A total of 11 clinical trials (1976 to 2010) by 8 different<br />

scientific groups in 5 countries incorporating 139 healthy subjects<br />

were included in the model development and validation for intra-<br />

aBsTraCTs<br />

venous and oral dosing of sotalol. The developed model of sotalol<br />

allowed a close agreement between all observed and predicted concentration<br />

vs. time profiles. The mean AUC 0-tlast ratio of 0.97 ranged<br />

between 0.82-1.18.<br />

CONCLUSION: The presented model was able to appropriately<br />

reflect various clinical trials in adults under various conditions for both<br />

intravenous and oral application. This model is now ready to extrapolate<br />

into the pediatric population to explore the effects of organ maturation<br />

and ontogeny on sotalol pharmacokinetics.<br />

<strong>PI</strong>-102<br />

POPULATION PHARMACOKINETICS OF VORICONAZOLE<br />

IN HUMAN PLASMA AND AQUEOUS HUMOUR AFTER ORAL<br />

ADMINISTRATION. Y. Daali, L. Cottet, M. Gex-Fabry, P. Dayer,<br />

E. Baglivo, J. Desmeules; Geneva University Hospitals, Geneva,<br />

Switzerland. Y. Daali: None. L. Cottet: None. M. Gex-Fabry: None.<br />

P. Dayer: None. E. Baglivo: None. J. Desmeules: None.<br />

BACKGROUND: Voriconazole (VRZ) is an antifungal azole used<br />

for the treatment of fungal endophthalmitis. Its ocular penetration and<br />

pharmacokinetics in the eye are still unknown. The purpose of the<br />

current study was to evaluate the pharmacokinetics of VRZ in human<br />

aqueous humour and plasma after oral administration using a population<br />

pharmacokinetic approach.<br />

METHODS: 34 patients undergoing cataract surgery received<br />

2<strong>00</strong> mg VRZ at various times before surgery. The concentrations of<br />

VRZ in both plasma (103 s<strong>am</strong>ples, 2-3 per patient) and aqueous humour<br />

(34 s<strong>am</strong>ples, 1 per patient) were determined by high-performance liquid<br />

chromatography with fluorescence detection. Population pharmacokinetic<br />

software NONMEM was used to calculate pharmacokinetic<br />

par<strong>am</strong>eters in the eye and plasma, as well as the influence of various<br />

covariates. The following covariables were investigated for a possible<br />

influence on model par<strong>am</strong>eters: age, sex, weight, CYP2C19, CYP2C9<br />

and CYP3A4 phenotypes.<br />

RESULTS: VRZ concentrations in both plasma and aqueous<br />

humour were adequately described with a two-compartment open<br />

model with first order transfer rates. Final population estimates were:<br />

ka (h -1 ) = 3.04 (CV 51.6%), CLp (l/h) = 19.7 (CV 16.0%), Vp (l) =<br />

175 (CV 10.5%), kap (h -1 ) = 1.44 (CV 25.4%). Among covariates,<br />

CYP2C19 phenotype and sex significantly influenced elimination of<br />

voriconazole. The clearance of VRZ increased with CYP2C19 activity<br />

and decreased in females. The penetration of VRZ in the eye, described<br />

by the ratio (kpa.Vp/kap.Va), was 0.52.<br />

CONCLUSION: The selected population model successfully characterized<br />

VRZ pharmacokinetics in both plasma and aqueous humour<br />

and allowed to identify significant covariates. Moreover it was possible<br />

to quantify ocular penetration of voriconazole after oral administration.<br />

<strong>PI</strong>-103<br />

PAIN PERCEPTION AND PROCESSING IN A MEDICATED<br />

STATE: A <strong>PI</strong>LOT STUDY IN AN ELDERLY COHORT. A. Edginton, 1<br />

K. Schaffler 2 ; 1 University of Waterloo, Waterloo, ON, Canada, 2 HPR<br />

Dr. Schaffler GmbH, Munich, Germany. A. Edginton: 1. This research<br />

was sponsored by; Company/Drug; HPR Dr. Schaffler GmbH,<br />

Munich, Germany. K. Schaffler: 1. This research was sponsored by;<br />

Company/Drug; HPR Dr. Schaffler GmbH, Munich, Germany. 2. I<br />

<strong>am</strong> a paid consultant/employee for; Company/Drug; HPR Dr. Schaffler<br />

GmbH, Munich, Germany.<br />

BACKGROUND: Advanced age is associated with increased<br />

prevalence of chronic pain, increased pain threshold and decreased tolerance<br />

to supra-threshold pain; as is common in clinical pain states.<br />

Due to these differences, it is of interest to assess the age-dependence<br />

of objective [Laser induced somatosensory evoked potentials (LEPs)<br />

from Vertex-EEG] and subjective [Visual Analogue Scale (1<strong>00</strong>mm<br />

VAS)] measures of pain and the potential for differential efficacy of<br />

anti-hyperalgesic medication.<br />

METHODS: This pilot-study was a randomized, single-dose (1<strong>00</strong>0<br />

mg acet<strong>am</strong>inophen), placebo-controlled, 2-sequence intra-individual<br />

CliniCal pharmaCology & TherapeuTiCs | volume 91 supplemenT 1 | marCh 2012 s45


aBsTraCTs nature publishing group<br />

crossover study including 6 (3 male, 3 female) participants over the<br />

age of 65 [66-69]. LEPs and VAS scores were measured over a 5 hour<br />

period following noxious stimuli to untreated and UVB-irradiated<br />

(hyperalgesic) skin with and without medication.<br />

RESULTS: On untreated and UVB-irradiated skin, the LEP <strong>am</strong>plitudes<br />

of the PtP (Peak-to-Peak) -component appear smaller than in<br />

younger historical controls. PtP-<strong>am</strong>plitude reduction by medication<br />

was more accentuated in UVB than in untreated skin with a predominant<br />

anti-hyperalgesic effect vs. placebo in LEPs and VAS starting<br />

1-2 hours post-administration. The mean VAS score was always lower<br />

compared to a previous study of 24 young adult participants (Figure).<br />

CONCLUSION: This study presents evidence that the extent of<br />

nociceptive impact and medication may differ by age. A full PK/PD<br />

study comparing young and older adults is planned.<br />

VAS (mm)<br />

60<br />

50<br />

40<br />

30<br />

20<br />

60<br />

50<br />

Young adult, placebo (n=21)<br />

Young adult, acet<strong>am</strong>inophen (n=24)<br />

Older adult, placebo (n=6)<br />

Older adult, acet<strong>am</strong>inophen (n=6)<br />

untreated<br />

40<br />

30<br />

UVB Mean baseline, untreated skin<br />

20<br />

0 1 2 3 4 5<br />

Hours post-administration<br />

<strong>PI</strong>-104<br />

A PROBABILISTIC RISK ASSESSMENT OF BREAST CANCER<br />

TREATMENT FAILURE DURING CO-ADMINISTRATION OF<br />

TAMOXIFEN AND PAROXETINE AS IT RELATES TO CYP2D6<br />

GENOTYPE. A. Edginton, 1 M. Sevestre, 2 J. Stingl 3 ; 1 University of<br />

Waterloo, Waterloo, ON, Canada, 2 Design2Code, Waterloo, ON,<br />

Canada, 3 Univerity of Ulm, Ulm, Germany. A. Edginton: None.<br />

M. Sevestre: 2. I <strong>am</strong> a paid consultant/employee for; Company/Drug;<br />

Bayer Technology Services GmbH. J. Stingl: None.<br />

BACKGROUND: T<strong>am</strong>oxifen is a prodrug metabolized by CYP2D6<br />

to its active metabolite, Z-endoxifen. A CYP2D6 polymorphism resulting<br />

in poor (PM), intermediate (IM) and extensive (EM) metabolizers,<br />

contributes to PMs being 40% more likely to relapse than EMs.<br />

Paroxetine, used for hot flash prevention during t<strong>am</strong>oxifen use, is an<br />

irreversible CYP2D6 inhibitor. The risk of sub-therapeutic Z-endoxifen<br />

concentrations with concomitant use may vary with CYP2D6 status.<br />

This study aims to bridge clinical gaps with pharmacometric analysis<br />

to assess t<strong>am</strong>oxifen dose requirements during paroxetine use.<br />

METHODS: Coupled whole-body population physiologically<br />

based pharmacokinetic (PBPK) models for paroxetine (20 mg/d)<br />

and t<strong>am</strong>oxifen (20 mg/d for 4 months) + metabolites (desmethylt<strong>am</strong>oxifen,<br />

Z-4-OH-t<strong>am</strong>oxifen, Z-endoxifen) were developed using in<br />

vitro and clinical data, and included CYP2D6 inhibition in the presence<br />

of paroxetine.<br />

RESULTS: The estrogen-receptor inhibiting capacity of the majority<br />

of PMs does not reach 90% (IC90_endoxifen= 12.5 nmol/L) (Figure).<br />

In the presence of paroxetine, there is an 80% (EM), 43% (IM)<br />

and 27% (PM) chance of reaching the IC90. IMs receiving paroxetine<br />

require 40 mg/d t<strong>am</strong>oxifen to have 90% of IMs over the IC90, although<br />

this may not be feasible.<br />

CONCLUSION: T<strong>am</strong>oxifen administration to PMs has a high<br />

probability of failure. While the efficacy of 20 mg/d t<strong>am</strong>oxifen for EM<br />

and IMs is reasonable, in the presence of paroxetine, there is a high<br />

chance of treatment failure for IMs but not EMs.<br />

<strong>PI</strong>-105<br />

THE UTILITY OF PROBABILISTIC SIMULATION IN DRUG<br />

RISK-BENEFIT ASSESSMENT IN OLDER ADULTS. J. Lee,<br />

V. Crentsil; U.S. Food and Drug Administration, Silver Spring, MD.<br />

J. Lee: None. V. Crentsil: None.<br />

BACKGROUND: Establishing a drug dosage that balances benefit<br />

and risk in older adults can be challenging; we demonstrate utility of<br />

probabilistic simulation for that purpose.<br />

METHODS: Our study population were schizophrenics aged<br />

>50 years, on olanzapine > 2 weeks, and non-diabetic at baseline,<br />

from the Clinical Antipsychotic Trials of Intervention Effectiveness<br />

(CATIE). Benefit is defined as ≥ 20% reduction from baseline total<br />

PANSS score and risk as postbaseline fasting glucose > 1<strong>00</strong>mg/dl.<br />

We estimated the benefit and risk probabilities of oral daily dosages<br />

of 7.5, 15, and 30 mg. After using the benefit-risk plane to explore<br />

favorable doses, we used Monte Carlo [MC] simulation (N=5<strong>00</strong>0) to<br />

determine the distribution of benefit and risk probabilities for each<br />

dose. We then used benefit-risk acceptability curves to determine the<br />

proportion of benefit-risk joint density below benefit risk preference<br />

value of one.<br />

RESULTS: Study patients (N=34) were male (82.3%), average<br />

age 54.4 years, Caucasian (67.6%), and average treatment duration of<br />

361.8 days. Benefit and risk probabilities were 0.5 each for 7.5 mg; 0.6<br />

each for 15 mg, and benefit probability was 0.57 and risk 0.67 for 30<br />

mg. Only 30 mg was beyond acceptability preference of the benefitrisk<br />

plane. MC simulation revealed mean probability of benefit as 0.49<br />

and risk 0.50 for 7.5 mg; 0.6 each for 15 mg, and mean probability of<br />

benefit as 0.57 and risk 0.67 for 30 mg. The benefit-risk acceptability<br />

curves showed that the proportion of benefit-risk joint density below<br />

preference value was 0.4999 for 7.5 mg, 0.5104 for 15 mg, and 0.3410<br />

for 30 mg (optimal is > 0.5).<br />

CONCLUSION: This study introduces an innovative approach<br />

for finding the safe dose without extensive exposure of a vulnerable<br />

population to drugs. Our study suggests 15 mg a day of olanzapine as<br />

optimal for the balance of therapeutic benefit and risk of glucose intolerance<br />

for this study population. Our results are not generalizable due<br />

to small s<strong>am</strong>ple size.<br />

s46 volume 91 supplemenT 1 | marCh 2012 | www.nature.com/cpt<br />

Z-endoxifen concentration (nmol/L)<br />

1<strong>00</strong><br />

10<br />

a EM; n=88<br />

No Paroxetine<br />

b<br />

EM; n=1<strong>00</strong><br />

a<br />

IM; n=129<br />

b<br />

IM; n=1<strong>00</strong><br />

a<br />

Murdter et al. 2011<br />

b<br />

simulation<br />

c<br />

Stearns et al. 2<strong>00</strong>3<br />

IC90 (Estrogen Receptor)<br />

a PM; n=14<br />

b PM; n=1<strong>00</strong><br />

c EM; n=7<br />

With Paroxetine<br />

b EM; n=1<strong>00</strong><br />

c<br />

IM+PM; n=5<br />

b<br />

IM; n=1<strong>00</strong><br />

b<br />

PM; n=1<strong>00</strong>


nature publishing group<br />

<strong>PI</strong>-<strong>106</strong><br />

USING MODELING AND SIMULATION TO OPTIMIZE DRUG<br />

RISK-BENEFIT IN OLDER ADULTS. V. Crentsil, J. Lee, A. Jackson;<br />

U.S. Food and Drug Administration, Silver Spring, MD. V. Crentsil:<br />

None. J. Lee: None. A. Jackson: None.<br />

BACKGROUND: Establishing a drug dosage that balances benefit<br />

and risk in older adults can be challenging; we demonstrate utility of<br />

modeling and simulation for that purpose.<br />

METHODS: The study population were schizophrenics >50 years,<br />

on olanzapine > 2 weeks, and non-diabetic at baseline, from the Clinical<br />

Antipsychotic Trials of Intervention Effectiveness (CATIE). Benefit<br />

is defined as ≥ 20% reduction in baseline total PANSS score and risk<br />

as postbaseline fasting glucose > 1<strong>00</strong>mg/dl. A published mixed-effects<br />

model with covariates for sex, race, and smoking was used to calculate<br />

AUC. Benefit-risk AUC breakpoint (bp-AUC) was determined from<br />

mean AUC of benefit and risk patient groups and confirmed by Monte<br />

Carlo [MC] simulation (N=5<strong>00</strong>0) and benefit-risk acceptability curve.<br />

Using multivariate regression, we estimated olanzapine dose corresponding<br />

to bp-AUC. MC simulation (N=5<strong>00</strong>0) was used to estimated<br />

uncertainty around olanzapine dose.<br />

RESULTS: Study population (N=34) were on average aged 54.4<br />

years, therapy duration of 361.8 days, male (82.3%) and Caucasian<br />

(67.6%). Mean AUC was 747.6 ng.hr /ml [95% CI: 524.5, 970.7] for<br />

benefit group (N=16) and 754.1 [95% CI: 505.9, 1<strong>00</strong>2.4] for risk group<br />

(N=15). The bp-AUC was 524.5 ng.hr/ml; the proportion of riskbenefit<br />

pairs below the acceptability threshold of 1 for bp-AUC was<br />

51%, confirming acceptability. Using our derived regression equation<br />

below, the mean oral olanzapine dose corresponding to bp-AUC was<br />

17.8 mg/ day: Dose = -54.34 + 11.53 • ln AUC + 1.21 • SEX - 3.07<br />

• RACE + 2.16 • SMOKE MC simulation (N=5<strong>00</strong>0) yielded a mean<br />

dose of 17.81 mg (95% CI: 17.76, 17.87).<br />

CONCLUSION: This study demonstrates utility of modeling and<br />

simulation to estimate the optimal drug dose that preserves benefit and<br />

limit risk. Our results suggest that for our study population, olanzapine<br />

dose at which therapeutic benefit and risk for glucose intolerance is<br />

balanced is 17.8 mg/day. Generalizability of our results is limited by<br />

small s<strong>am</strong>ple size.<br />

OII-A-1<br />

NOVEL TRANSLATIONAL PARADIGM FOR DRUG-DRUG<br />

INTERACTION RESEARCH: A COMBINATION OF LITERA-<br />

TURE-BASED DISCOVERY, ELECTRONIC MEDICAL RECORDS<br />

AND IN VITRO DDI SCREENING ASSAYS. X. Han, 1 Z. Wang, 2 A.<br />

Subhadarshini, 2 S. Karnik, 2 R. M. Strother, 3 S. D. Hall, 4 Y. Jin, 4 D. A.<br />

Flockhart, 5 S. K. Quinney, 6 J. D. Duke, 7 L. Li 8 ; 1 Department of Pharmacology<br />

and Toxicology, Indiana University School of Medicine,<br />

Indianapolis, IN, 2 Center for Computational Biology and Bioinformatics,<br />

Indiana University School of Medicine, Indianapolis, IN, 3 Division<br />

of Hematology/Oncology, Department of Medicine, Indiana University<br />

School of Medicine, Indianapolis, IN, 4 Eli Lilly INC, Indianapolis,<br />

IN, 5 Division of Clinical Pharmacology, Department of Medicine,<br />

Indiana University School of Medicine, Indianapolis, IN, 6 Department<br />

of Obstetrics/Gynecology, Indiana University School of Medicine,<br />

Indianapolis, IN, 7 Regenstrief Institute, Indiana University School<br />

of Medicine, Indianapolis, IN, 8 Department of Medical and Molecular<br />

Genetics, Indiana University School of Medicine, Indianapolis,<br />

IN. X. Han: None. Z. Wang: None. A. Subhadarshini: None. S.<br />

Karnik: None. R.M. Strother: None. S.D. Hall: 2. I <strong>am</strong> a paid consultant/employee<br />

for; Company/Drug; Eli Lilly. Y. Jin: 2. I <strong>am</strong> a paid<br />

consultant/employee for; Company/ Drug; Eli Lilly. D.A. Flockhart:<br />

None. S.K. Quinney: None. J.D. Duke: None. L. Li: None.<br />

BACKGROUND: Only a limited number of drug-drug interactions<br />

(DDIs) can be investigated in the traditional pharmacology study<br />

paradigm. Using novel biomedical informatics tools, electronic medical<br />

record (EMR) databases and in vitro DDI screening assays, we<br />

explored a new translational DDI research paradigm.<br />

aBsTraCTs<br />

METHODS: CYP450 enzyme substrates and inhibitors were identified<br />

from Pub Med abstracts by text mining. A substrate and an inhibitor<br />

of the pertinent CYP formed a predicted DDI. In a de-identified<br />

EMR data set from the Indiana Patients Care database (n = 2.2 million),<br />

each predicted DDI effect on myopathy was tested by a z-score<br />

test. The type I error was Bonferroni corrected. The relative risk (RR)<br />

was adjusted by age, gender, race, and symptom.<br />

RESULTS: 13,117 DDI pairs were predicted from text mining. Six<br />

predicted DDIs are significantly associated with increased myopathy<br />

risk (p 5<strong>00</strong> 14 1.3 23.8 6.3 24.4 CYP3A4,<br />

CYP2D6<br />

Duloxetine +9.6 34.4 30.4 7 1.1 10.7 CYP2D6,<br />

CYP1A2<br />

Omeprazole 91.2 NA NA 34.4 208.3 10.2 CYP2C19,<br />

CYP3A4<br />

8615885<br />

12621382<br />

16093273<br />

Simvastatin >1<strong>00</strong> 46 7.4 55.8 53.5 4.8 CYP3A 9321523<br />

Ropinirole 807.6 >5<strong>00</strong> >1<strong>00</strong>0 >1<strong>00</strong>0 1 782.4 CYP1A2,<br />

CYP3A<br />

9224778<br />

Promethazine 1.2 58.9 55.5 33.5

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