Literature DB >> 16221757

Application of a generic physiologically based pharmacokinetic model to the estimation of xenobiotic levels in rat plasma.

F A Brightman1, D E Leahy, G E Searle, S Thomas.   

Abstract

The routine assessment of xenobiotic in vivo kinetic behavior is currently dependent upon data obtained through animal experimentation, although in vitro surrogates for determining key absorption, distribution, metabolism, and elimination properties are available. Here we present a unique, generic, physiologically based pharmacokinetic (PBPK) model and demonstrate its application to the estimation of rat plasma pharmacokinetics, following intravenous dosing, from in vitro data alone. The model was parameterized through an optimization process, using a training set of in vivo data taken from the literature and validated using a separate test set of in vivo discovery compound data. On average, the vertical divergence of the predicted plasma concentrations from the observed data, on a semilog concentration-time plot, was approximately 0.5 log unit. Around 70% of all the predicted values of a standardized measure of area under the concentration-time curve (AUC) were within 3-fold of the observed values, as were over 90% of the training set t1/2 predictions and 60% of those for the test set; however, there was a tendency to overpredict t1/2 for the test set compounds. The capability of the model to rank compounds according to a given criterion was also assessed: of the 25% of the test set compounds ranked by the model as having the largest values for AUC, 61% were correctly identified. These validation results lead us to conclude that the generic PBPK model is potentially a powerful and cost-effective tool for predicting the mammalian pharmacokinetics of a wide range of organic compounds, from readily available in vitro inputs only.

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Year:  2005        PMID: 16221757     DOI: 10.1124/dmd.105.004804

Source DB:  PubMed          Journal:  Drug Metab Dispos        ISSN: 0090-9556            Impact factor:   3.922


  6 in total

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Authors:  John F Graf; Bernhard J Scholz; Maria I Zavodszky
Journal:  J Pharmacokinet Pharmacodyn       Date:  2011-12-10       Impact factor: 2.745

2.  A physiologically based pharmacokinetic model for capreomycin.

Authors:  B Reisfeld; C P Metzler; M A Lyons; A N Mayeno; E J Brooks; M A Degroote
Journal:  Antimicrob Agents Chemother       Date:  2011-12-05       Impact factor: 5.191

3.  Risk assessment in extrapolation of pharmacokinetics from preclinical data to humans.

Authors:  Zvi Teitelbaum; Thierry Lave; Jan Freijer; Adam F Cohen
Journal:  Clin Pharmacokinet       Date:  2010-09       Impact factor: 6.447

4.  Modelling and PBPK simulation in drug discovery.

Authors:  Hannah M Jones; Iain B Gardner; Kenny J Watson
Journal:  AAPS J       Date:  2009-03-12       Impact factor: 4.009

Review 5.  The toxicity data landscape for environmental chemicals.

Authors:  Richard Judson; Ann Richard; David J Dix; Keith Houck; Matthew Martin; Robert Kavlock; Vicki Dellarco; Tala Henry; Todd Holderman; Philip Sayre; Shirlee Tan; Thomas Carpenter; Edwin Smith
Journal:  Environ Health Perspect       Date:  2008-12-22       Impact factor: 9.031

6.  Physiologically Based Pharmacokinetic Modelling of Cabozantinib to Simulate Enterohepatic Recirculation, Drug-Drug Interaction with Rifampin and Liver Impairment.

Authors:  Bettina Gerner; Oliver Scherf-Clavel
Journal:  Pharmaceutics       Date:  2021-05-22       Impact factor: 6.321

  6 in total

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