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The Toxicologist - Society of Toxicology

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global parameter sensitivity analysis (GSA) on various model parameters and studied<br />

their impact on several key metabolites such as ATP, mitochondrial membrane<br />

potential, GSH, NADH, Acetyl CoA, Malonyl-CoA, Cholesterol, DG and TG.<br />

Model parameters are varied by 10%, and the changes in metabolite pr<strong>of</strong>iles are<br />

quantified. This analysis allows parameters to be ranked in order <strong>of</strong> their impact on<br />

liver metabolism.<br />

We mimicked drug-induced perturbations on the rat liver by changing<br />

the kinetic parameters <strong>of</strong> sensitive enzymatic reactions either singly or in combination<br />

and obtained metabolite pr<strong>of</strong>iles. An optimization problem was formulated to<br />

estimate the values <strong>of</strong> parameters that were potentially responsible for this metabolite<br />

pr<strong>of</strong>ile. An objective function was defined to minimize the error between predicted<br />

and observed metabolite pr<strong>of</strong>iles <strong>of</strong> key metabolites described above. <strong>The</strong> estimated<br />

values <strong>of</strong> the parameters were then compared with the values used in the<br />

simulations and found to match well. This provides a mechanistic basis for relating<br />

metabolite changes to specific pathways being deranged by a drug. This approach<br />

works well for both steady state and time-varying metabolite pr<strong>of</strong>iles.<br />

736 DEVELOPMENT OF A PHYSIOLOGICALLY BASED<br />

PHARMACOKINETIC (PBPK) MODEL FOR RDX<br />

(HEXAHYDRO-1, 3, 5-TRINITRO-1, 3, 5-TRIAZINE) IN<br />

FEMALE B6C3F1 MICE.<br />

M. L. Gargas 1 , C. P. Gut 1 , M. R. Okolica 1 , A. Ntamack 1 , L. M. Sweeney 1 , L.<br />

R. Williams 2 , G. Reddy 2 and M. S. Johnson 2 . 1 Naval Medical Research Unit -<br />

Dayton, Wright-Patterson AFB, OH and 2 U.S. Army Public Health Command,<br />

Aberdeen Proving Ground, MD.<br />

RDX is an explosive used in military applications and has been detected in ground<br />

water surrounding US military installations and at manufacturing facilities. <strong>The</strong><br />

current cancer slope factor was estimated from the incidence <strong>of</strong> liver neoplasms in<br />

female mice (no cancers were found in either sex <strong>of</strong> rats chronically exposed to<br />

RDX) and is based on outdated animal to human scaling techniques and mouse<br />

tumor data that has subsequently been revised using more current pathological criteria.<br />

In addition, dose-response was not evaluated using Benchmark Dose (BMD)<br />

approaches. <strong>The</strong>re is a need to derive an updated cancer potency factor for RDX<br />

using more current data and techniques, including the use <strong>of</strong> internal dose and<br />

BMD modeling. <strong>The</strong> purpose <strong>of</strong> the work reported here was to finalize the development<br />

<strong>of</strong> a PBPK model for RDX kinetics in the female mouse. An initial PBPK<br />

model structure for female mice was constructed using an existing model for rats<br />

and existing data on tissue partition coefficients. <strong>The</strong> rate <strong>of</strong> RDX metabolism for<br />

female mice was determined experimentally in our laboratory using hepatic microsomal<br />

preparations and the resulting rate constant was incorporated as a PBPK<br />

model parameter. Model verification was performed by comparing model predictions<br />

to blood and liver concentration time-course data collected in our laboratory<br />

from female mice orally dosed with RDX at target doses <strong>of</strong> 1.5, 7, or 35 mg/kg. <strong>The</strong><br />

cancer potency <strong>of</strong> RDX in humans will be determined in future evaluations using<br />

the female mouse PBPK model developed in this current work together with a<br />

PBPK model for RDX kinetics in humans.<br />

737 BIOMARKERS OF EXPOSURE VERSUS PBPK MODEL<br />

ESTIMATES OF INTERNAL DOSE: A CASE STUDY<br />

WITH ACRYLAMIDE.<br />

R. S. DeWoskin. U.S. EPA, Research Triangle Park, NC .<br />

Estimates <strong>of</strong> internal dose greatly improve the confidence in risk assessments for<br />

systemic toxicants when extrapolating dose-response relationships across species,<br />

routes <strong>of</strong> exposure, subpopulations, or study conditions (e.g., in vitro to in vivo).<br />

Two leading methods to estimate internal dose are: 1) biomarker <strong>of</strong> exposure models,<br />

and 2) physiologically based pharmacokinetic (PBPK) models. Hemoglobin<br />

(Hb) adducts are good biomarkers <strong>of</strong> exposure to acrylamide (AA) and its mutagenic<br />

metabolite, glycidamide (GA). <strong>The</strong> U.S. EPA posted an IRIS assessment for<br />

acrylamide that estimated internal blood levels in rats and humans with an AA-Hb<br />

and GA-Hb adduct model. Concurrent with the posting <strong>of</strong> the IRIS assessment, an<br />

updated AA PBPK model was published providing an opportunity to compare results,<br />

and to evaluate the advantages each method has for specific applications. <strong>The</strong><br />

Hb-adduct model and the PBPK model gave similar results for the ratio <strong>of</strong> the rat<br />

external dose (mg/kg/day) to the equivalent human external dose <strong>of</strong> AA (i.e., the<br />

dose that would produce comparable internal levels <strong>of</strong> AA and GA in blood).<br />

External dose ratios were in the 4.5-6.5 range for comparable levels <strong>of</strong> AA in blood,<br />

and in the 0.75-1.0 range for GA in blood. <strong>The</strong> ratio for AA in blood is similar to<br />

the value from a body weight scaling (BW 2/3 or 3/4), while the lower ratio for<br />

comparable GA internal levels reflects the considerably different production and<br />

clearance <strong>of</strong> GA in humans compared with rats (i.e., BW scaling would grossly<br />

overestimate this ratio). <strong>The</strong> Hb-adduct model only estimates internal dose <strong>of</strong> AA<br />

or GA in blood. Thus, when blood levels suffice as a surrogate dose metric for an<br />

adverse effect, the simpler seven parameter Hb-adduct model is preferred (i.e.,<br />

based on AIC) to the nine compartment, 68 parameter PBPK model. <strong>The</strong> PBPK<br />

model, however, estimates a variety <strong>of</strong> dose metrics (e.g., unbound AA or GA in<br />

blood and tissues), and provides more functionality for extrapolating risks and hypothesis<br />

testing. [<strong>The</strong> views expressed are those <strong>of</strong> the authors and do not necessarily<br />

reflect the views or policies <strong>of</strong> the U.S. EPA]<br />

738 IN VITRO 3, 5-DICHLOROANILINE NEPHROTOXICITY<br />

IN FRESHLY ISOLATED RAT RENAL CORTICAL CELLS.<br />

C. Smurthwaite, S. Baksi, T. Ferguson, C. Schuetz, D. Anestis and G. O. Rankin.<br />

Pharmacology, Physiology, and <strong>Toxicology</strong>, Marshall University, Huntington, WV.<br />

Chloroanilines are widely used in manufacturing dyes, drugs, agricultural chemicals<br />

and industrial intermediates. Previously, we demonstrated that 3,5-dichloroaniline<br />

(3,5-DCA) induced nephrotoxicity in vivo in rats and in vitro in a rat renal cortical<br />

slice model. In this study, freshly isolated renal cortical cells (IRCC) obtained from<br />

male Fischer 344 rats were used to investigate the nephrotoxic potential <strong>of</strong> 3,5-<br />

DCA and to examine if metabolites and/or oxidative stress contributed to 3,5-<br />

DCA-induced nephrotoxicity in vitro. Nephrotoxicity was determined by incubating<br />

IRCC (~4 million cells/ml; 3 ml total volume) with vehicle (dimethyl sulfoxide,<br />

DMSO; 30 microL) or 3,5-DCA (0 - 1.5 mM) for 60, 90, or 120 minutes and calculating<br />

lactate dehyrogenase (LDH) release as a percent <strong>of</strong> total LDH. In some experiments,<br />

IRCC were pretreated with antioxidants (2.0 mM ascorbate, 1.0 mM<br />

glutathione, 1.0 mM alpha-tocopherol, or 2.0 mM N-acetyl-L-cysteine) to explore<br />

the role <strong>of</strong> oxidative stress or pretreated with a cyclooxygenase inhibitor (1.0 mM<br />

indomethacin), CYP inhibitor (1.0 mM metyrapone or 1.0 mM piperonyl butoxide)<br />

or FMO inhibitor (1.0 mM methimazole or 2.0 mM n-octylamine) to explore<br />

the role <strong>of</strong> metabolites in 3,5-DCA nephrotoxicity. 3,5-DCA nephrotoxicity was<br />

evident at 120 min at 0.5 mM 3,5-DCA and by 60 min with higher 3,5-DCA concentrations.<br />

All pretreatments reduced 3,5-DCA toxicity to varying degrees. <strong>The</strong>se<br />

results suggest that 3,5-DCA is nephrotoxic to IRCC in a time and concentration<br />

dependent manner, metabolites contribute to 3,5-DCA nephrotoxicity, and oxidative<br />

stress may be a mechanism for inducing 3,5-DCA nephrotoxicity. This work<br />

was supported by NIH grant 3P20RR016477-09S1.<br />

739 IN VITRO ANALYSIS OF CYCLOSPORINE A-INDUCED<br />

NEPHROTOXICITY BY GENE EXPRESSION AND 1 H-<br />

NMR-METABONOMICS OF CELL LYSATES.<br />

K. Herrgen 1 , O. Schmal 1 , C. J. Burek 1 , M. Gruene 2 , P. Jennings 3 and W.<br />

Dekant 1 . 1 Department <strong>of</strong> <strong>Toxicology</strong>, University <strong>of</strong> Wuerzburg, Wuerzburg, Germany,<br />

2 Department <strong>of</strong> Organic Chemistry, University <strong>of</strong> Wuerzburg, Wuerzburg, Germany<br />

and 3 Department <strong>of</strong> Physiology and Medical Physics, Medical University <strong>of</strong> Innsbruck,<br />

Innsbruck, Austria.<br />

Early detection <strong>of</strong> nephrotoxic side effects <strong>of</strong> drug candidates combined with reduction<br />

<strong>of</strong> animal testings is still a challenge for preclinical drug development.<br />

Since some renal biomarker candidates, like KIM-1 and LCN-2 (NGAL) performed<br />

well in vivo, the scope <strong>of</strong> this study was to test their performance in vitro in<br />

human proximal tubular epithelial cell lines. To gain additional information, the<br />

intracellular metabolite patterns were tracked by 1 H-NMR-Metabonomics and<br />

compared to the gene expression data. In the present study, Cyclosporine A (CsA)<br />

was used as a model compound for drug induced nephrotoxicity. Differentiated<br />

RPTEC/TERT1 and A498 cells were used as cell models and drug treatment was<br />

performed up to 6 days by repeated dosing.<br />

A multivariate data analysis <strong>of</strong> the hydrophilic cell lysates examined by 1 H-NMR<br />

revealed a clear discrimination between cytotoxic and non-cytotoxic dose groups.<br />

<strong>The</strong> corresponding metabolites are linked to energy consumption as well as alterations<br />

<strong>of</strong> renal osmolytes. This can be interpreted as cellular dedifferentiation, a<br />

known effect <strong>of</strong> Cyclosporine A. Regarding the analyzed biomarker genes, only<br />

LCN-2 and GADD153 showed an upregulation. Other markers, like KIM-1 or<br />

Clusterin, did not show consistent alterations in this experimental set up. <strong>The</strong> increased<br />

expression <strong>of</strong> the mechanistic marker GADD153 confirms decompensated<br />

ER stress as an early event in proximal tubular cell damage caused by CsA.<br />

Effective CsA concentrations were monitored by LC-MS and revealed a bound part<br />

<strong>of</strong> about 20% <strong>of</strong> the nominal concentration along with varying intracellular concentrations.<br />

This highlights the importance <strong>of</strong> concentration measurements for in<br />

vitro testings.<br />

SOT 2011 ANNUAL MEETING 159

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