Literature DB >> 22318616

The role of physiologically based pharmacokinetic modeling in regulatory review.

S-M Huang1, M Rowland.   

Abstract

During regulatory review of clinical pharmacology data in new drug applications and biologics license applications, questions are routinely asked about how intrinsic factors (e.g., organ dysfunction, age, and genetics) and extrinsic factors (e.g., drug-drug interactions) might influence dose-response and exposure-response and about the impact of these individual factors on the efficacy and safety of the candidate compound. Physiologically based pharmacokinetic (PBPK) modeling and simulation is one of the tools that can be used to address these critical questions.

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Year:  2012        PMID: 22318616     DOI: 10.1038/clpt.2011.320

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  40 in total

1.  Physiologically based modeling of pravastatin transporter-mediated hepatobiliary disposition and drug-drug interactions.

Authors:  Manthena V S Varma; Yurong Lai; Bo Feng; John Litchfield; Theunis C Goosen; Arthur Bergman
Journal:  Pharm Res       Date:  2012-05-26       Impact factor: 4.200

Review 2.  Physiologically Based Pharmacokinetic (PBPK) Modeling and Simulation Approaches: A Systematic Review of Published Models, Applications, and Model Verification.

Authors:  Jennifer E Sager; Jingjing Yu; Isabelle Ragueneau-Majlessi; Nina Isoherranen
Journal:  Drug Metab Dispos       Date:  2015-08-21       Impact factor: 3.922

3.  Evaluating a physiologically based pharmacokinetic model for predicting the pharmacokinetics of midazolam in Chinese after oral administration.

Authors:  Hong-yun Wang; Xia Chen; Ji Jiang; Jun Shi; Pei Hu
Journal:  Acta Pharmacol Sin       Date:  2015-11-23       Impact factor: 6.150

4.  Ethnic-specific in vitro-in vivo extrapolation and physiologically based pharmacokinetic approaches to predict cytochrome P450-mediated pharmacokinetics in the Chinese population: opportunities and challenges.

Authors:  Guo-Fu Li; Guo Yu; Hong-Xia Liu; Qing-Shan Zheng
Journal:  Clin Pharmacokinet       Date:  2014-02       Impact factor: 6.447

5.  Evaluating a physiologically based pharmacokinetic model for prediction of omeprazole clearance and assessing ethnic sensitivity in CYP2C19 metabolic pathway.

Authors:  Sheng Feng; Yumi Cleary; Neil Parrott; Pei Hu; Cornelia Weber; Yongqing Wang; Ophelia Q P Yin; Jun Shi
Journal:  Eur J Clin Pharmacol       Date:  2015-03-24       Impact factor: 2.953

6.  Optimal sampling times for a drug and its metabolite using SIMCYP(®) simulations as prior information.

Authors:  Cyrielle Dumont; France Mentré; Clare Gaynor; Karl Brendel; Charlotte Gesson; Marylore Chenel
Journal:  Clin Pharmacokinet       Date:  2013-01       Impact factor: 6.447

Review 7.  Dose selection based on physiologically based pharmacokinetic (PBPK) approaches.

Authors:  Hannah M Jones; Kapil Mayawala; Patrick Poulin
Journal:  AAPS J       Date:  2012-12-27       Impact factor: 4.009

8.  Predicting nonlinear pharmacokinetics of omeprazole enantiomers and racemic drug using physiologically based pharmacokinetic modeling and simulation: application to predict drug/genetic interactions.

Authors:  Fang Wu; Lu Gaohua; Ping Zhao; Masoud Jamei; Shiew-Mei Huang; Edward D Bashaw; Sue-Chih Lee
Journal:  Pharm Res       Date:  2014-03-04       Impact factor: 4.200

9.  Physiologically Based Pharmacokinetic Model of the CYP2D6 Probe Atomoxetine: Extrapolation to Special Populations and Drug-Drug Interactions.

Authors:  Weize Huang; Mariko Nakano; Jennifer Sager; Isabelle Ragueneau-Majlessi; Nina Isoherranen
Journal:  Drug Metab Dispos       Date:  2017-08-31       Impact factor: 3.922

10.  Physiologically-Based Pharmacokinetic Modeling of Macitentan: Prediction of Drug-Drug Interactions.

Authors:  Ruben de Kanter; Patricia N Sidharta; Stéphane Delahaye; Carmela Gnerre; Jerome Segrestaa; Stephan Buchmann; Christopher Kohl; Alexander Treiber
Journal:  Clin Pharmacokinet       Date:  2016-03       Impact factor: 6.447

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