Literature DB >> 11356141

Predicting drug pharmacokinetics in humans from in vitro metabolism studies.

D F McGinnity1, R J Riley.   

Abstract

The pharmaceutical industry is committed to market safer drugs with fewer side effects, predictable pharmacokinetic properties and quantifiable drug-drug interactions. There is an increasing need to develop robust, enhanced-throughput in vitro assays, which accurately extrapolate to humans. The major drug metabolizing human hepatic cytochrome P450s (CYPs; CYP1A2, 2C9, 2C19, 2D6 and 3A4) have been co-expressed functionally in Escherichia coli with human NADPH-cytochrome P450 reductase and validated as surrogates to their counterparts in human liver microsomes (HLM) with respect to their kinetic and inhibition properties. Using these recombinant enzymes, fully automated in vitro assays to assess CYP inhibition and determine the enzymology of drug oxidation have been developed and validated. IC(50) values determined for a series of test compounds in HLM and recombinant CYPs were similar (r(2)=0.9, P<0.001). There was a good correlation between the sum of individual CYP intrinsic clearance (Cl(int)) and HLM Cl(int) (r(2)=0.8, P<0.001) for ten prototypic substrates for which clearance was CYP-dependent. Several in vitro incubation milieu (e.g. CYPs, HLM, human hepatocytes) are routinely used and the level of non-specific binding was investigated with respect to effects on K(m) and K(i) determinations. There were clear correlations between binding and lipophilicity (logD(7.4)) for a selection of bases (r(2)=0.98, P<0.001) and acids (r(2)=0.79, P<0.001) that may allow prediction of this property. Our laboratory has shown that recombinant enzymes are suitable for "frontline" predictive human metabolism studies in early drug discovery.

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Year:  2001        PMID: 11356141     DOI: 10.1042/0300-5127:0290135

Source DB:  PubMed          Journal:  Biochem Soc Trans        ISSN: 0300-5127            Impact factor:   5.407


  4 in total

1.  Application of CYP3A4 in vitro data to predict clinical drug-drug interactions; predictions of compounds as objects of interaction.

Authors:  Kuresh A Youdim; Aref Zayed; Maurice Dickins; Alex Phipps; Michelle Griffiths; Amanda Darekar; Ruth Hyland; Odette Fahmi; Susan Hurst; David R Plowchalk; Jack Cook; Feng Guo; R Scott Obach
Journal:  Br J Clin Pharmacol       Date:  2008-02-14       Impact factor: 4.335

2.  Allometric scaling of pharmacokinetic parameters in drug discovery: can human CL, Vss and t1/2 be predicted from in-vivo rat data?

Authors:  Gary W Caldwell; John A Masucci; Zhengyin Yan; William Hageman
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2004 Apr-Jun       Impact factor: 2.441

3.  Time-dependent inhibition of human drug metabolizing cytochromes P450 by tricyclic antidepressants.

Authors:  Thomas M Polasek; John O Miners
Journal:  Br J Clin Pharmacol       Date:  2007-07-27       Impact factor: 4.335

Review 4.  Cytochrome P450 Enzymes and Drug Metabolism in Humans.

Authors:  Mingzhe Zhao; Jingsong Ma; Mo Li; Yingtian Zhang; Bixuan Jiang; Xianglong Zhao; Cong Huai; Lu Shen; Na Zhang; Lin He; Shengying Qin
Journal:  Int J Mol Sci       Date:  2021-11-26       Impact factor: 5.923

  4 in total

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