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