Literature DB >> 21543556

Preclinical and clinical pharmacokinetics of PF-02413873, a nonsteroidal progesterone receptor antagonist.

Peter J Bungay1, Sarah Tweedy, David C Howe, Karl R Gibson, Hannah M Jones, Natalie M Mount.   

Abstract

The recently discovered selective nonsteroidal progesterone receptor (PR) antagonist 4-[3-cyclopropyl-1-(methylsulfonylmethyl)-5-methyl-1H-pyrazol-4-yl]oxy-2,6-dimethylbenzonitrile (PF-02413873) was characterized in metabolism studies in vitro, in preclinical pharmacokinetics in rat and dog, and in an initial pharmacokinetic study in human volunteers. Clearance (CL) of PF-02413873 was found to be high in rat (84 ml · min(-1) · kg(-1)) and low in dog (3.8 ml · min(-1) · kg(-1)), consistent with metabolic stability determined in liver microsomes and hepatocytes in these species. In human, CL was low in relation to hepatic blood flow, consistent with metabolic stability in human in vitro systems, where identified metabolites suggested predominant cytochrome P450 (P450)-catalyzed oxidative metabolism. Prediction of CL using intrinsic CL determined in human liver microsomes (HLM), recombinant human P450 enzymes, and single species scaling (SSS) from pharmacokinetic studies showed that dog SSS and HLM scaling provided the closest estimates of CL of PF-02413873 in human. These CL estimates were combined with a physiologically based pharmacokinetic (PBPK) model to predict pharmacokinetic profiles after oral suspension administration of PF-02413873 in fasted and fed states in human. Predicted plasma concentration versus time profiles were found to be similar to those observed in human over the PF-02413873 dose range 50 to 500 mg and captured the enhanced exposure in fed subjects. This case study of a novel nonsteroidal PR antagonist underlines the utility of PBPK modeling techniques in guiding prediction confidence and design of early clinical trials of novel chemical agents.

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Year:  2011        PMID: 21543556     DOI: 10.1124/dmd.110.037234

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


  8 in total

Review 1.  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

2.  Preclinical pharmacokinetics of TPN729MA, a novel PDE5 inhibitor, and prediction of its human pharmacokinetics using a PBPK model.

Authors:  Zhi-wei Gao; Yun-ting Zhu; Ming-ming Yu; Bin Zan; Jia Liu; Yi-fan Zhang; Xiao-yan Chen; Xue-ning Li; Da-fang Zhong
Journal:  Acta Pharmacol Sin       Date:  2015-11-23       Impact factor: 6.150

3.  Reversible disulfide formation of the glutamate carboxypeptidase II inhibitor E2072 results in prolonged systemic exposures in vivo.

Authors:  Rana Rais; Randall Hoover; Krystyna Wozniak; Michelle A Rudek; Takashi Tsukamoto; Jesse Alt; Camilo Rojas; Barbara S Slusher
Journal:  Drug Metab Dispos       Date:  2012-09-04       Impact factor: 3.922

4.  Prediction of pharmacokinetics and drug-drug interaction potential using physiologically based pharmacokinetic (PBPK) modeling approach: A case study of caffeine and ciprofloxacin.

Authors:  Min-Ho Park; Seok-Ho Shin; Jin-Ju Byeon; Gwan-Ho Lee; Byung-Yong Yu; Young G Shin
Journal:  Korean J Physiol Pharmacol       Date:  2016-12-21       Impact factor: 2.016

5.  Prediction of a Therapeutic Dose for Buagafuran, a Potent Anxiolytic Agent by Physiologically Based Pharmacokinetic/Pharmacodynamic Modeling Starting from Pharmacokinetics in Rats and Human.

Authors:  Fen Yang; Baolian Wang; Zhihao Liu; Xuejun Xia; Weijun Wang; Dali Yin; Li Sheng; Yan Li
Journal:  Front Pharmacol       Date:  2017-10-10       Impact factor: 5.810

6.  Absolute Oral Bioavailability of Creatine Monohydrate in Rats: Debunking a Myth.

Authors:  Eman A Alraddadi; Ryan Lillico; Jonathan L Vennerstrom; Ted M Lakowski; Donald W Miller
Journal:  Pharmaceutics       Date:  2018-03-08       Impact factor: 6.321

7.  Building in-house PBPK modelling tools for oral drug administration from literature information.

Authors:  Silvia Grandoni; Nicola Cesari; Giandomenico Brogin; Paola Puccini; Paolo Magni
Journal:  ADMET DMPK       Date:  2019-02-23

8.  Basic concepts in physiologically based pharmacokinetic modeling in drug discovery and development.

Authors:  Hm Jones; K Rowland-Yeo
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2013-08-14
  8 in total

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