Literature DB >> 19480559

Prediction of Phase I single-dose pharmacokinetics using recombinant cytochromes P450 and physiologically based modelling.

C R Gibson1, A Bergman, P Lu, F Kesisoglou, W S Denney, E Mulrooney.   

Abstract

1. Ten compounds from the Merck Research Laboratories pipeline were selected to evaluate the utility of using intrinsic clearance derived from recombinantly expressed cytochromes P450 (CYP) and physiologically based pharmacokinetic modelling to predict Phase I pharmacokinetics using simCYP. The compounds selected were anticipated to be eliminated predominantly by P450 metabolism. 2. There was a reasonable agreement between the predicted and actual clinical exposure with 80% of the predicted exposures being within three-fold of the observed values. Furthermore, prediction of C(t) (plasma concentration at a specified time point) and T(max) were acceptable with greater than or equal to 70% of the predicted data being within three-fold of the observed values. However, prediction of C(max) was unreliable and may have been due to error in predicting the time-dependent change in volume of distribution and/or error in estimating absorption rate. 3. Although it is acknowledged that research is needed to improve predictive performance, the data presented are supportive of using recombinant P450 intrinsic clearance and physiologically based pharmacokinetic modelling to predict Phase I pharmacokinetics for compounds eliminated by P450 metabolism.

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Year:  2009        PMID: 19480559     DOI: 10.1080/00498250902954296

Source DB:  PubMed          Journal:  Xenobiotica        ISSN: 0049-8254            Impact factor:   1.908


  6 in total

Review 1.  Applications of human pharmacokinetic prediction in first-in-human dose estimation.

Authors:  Peng Zou; Yanke Yu; Nan Zheng; Yongsheng Yang; Hayley J Paholak; Lawrence X Yu; Duxin Sun
Journal:  AAPS J       Date:  2012-03-10       Impact factor: 4.009

2.  Practical anticipation of human efficacious doses and pharmacokinetics using in vitro and preclinical in vivo data.

Authors:  Tycho Heimbach; Suresh B Lakshminarayana; Wenyu Hu; Handan He
Journal:  AAPS J       Date:  2009-08-26       Impact factor: 4.009

3.  Application of Absorption Modeling in Rational Design of Drug Product Under Quality-by-Design Paradigm.

Authors:  Filippos Kesisoglou; Amitava Mitra
Journal:  AAPS J       Date:  2015-05-22       Impact factor: 4.009

4.  Use of isoform-specific UGT metabolism to determine and describe rates and profiles of glucuronidation of wogonin and oroxylin A by human liver and intestinal microsomes.

Authors:  Qiong Zhou; Zhijie Zheng; Bijun Xia; Lan Tang; Chang Lv; Wei Liu; Zhongqiu Liu; Ming Hu
Journal:  Pharm Res       Date:  2010-04-22       Impact factor: 4.200

5.  Time-dependent inhibition of CYP3A4-mediated midazolam metabolism by macrolide antibiotics in CYP3A4 genetic variants: Comparison with testosterone metabolism.

Authors:  Takeshi Akiyoshi; Rina Naitou; Ayuko Imaoka; Mitsue Miyazaki; F Peter Guengerich; Katsunori Nakamura; Koujiro Yamamoto; Hisakazu Ohtani
Journal:  Int J Clin Pharmacol Ther       Date:  2021-12       Impact factor: 1.366

6.  Application of Physiologically Based Pharmacokinetic Modeling to Predict Pharmacokinetics in Healthy Japanese Subjects.

Authors:  Yuki Matsumoto; Tamara Cabalu; Punam Sandhu; Georgy Hartmann; Takashi Iwasa; Hiroyuki Yoshitsugu; Christopher Gibson; Naoto Uemura
Journal:  Clin Pharmacol Ther       Date:  2018-12-04       Impact factor: 6.875

  6 in total

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