Literature DB >> 19480547

Cocktail-substrate assay system for mechanism-based inhibition of CYP2C9, CYP2D6, and CYP3A using human liver microsomes at an early stage of drug development.

K Mori1, H Hashimoto, H Takatsu, M Tsuda-Tsukimoto, T Kume.   

Abstract

We established a mechanism-based inhibition cocktail-substrate assay system using human liver microsomes and drug-probe substrates that enabled simultaneous estimation of the inactivation of main cytochrome P450 (CYP) enzymes, CYP2C9, CYP2D6, and CYP3A, in drug metabolism. The inactivation kinetic parameters of typical mechanism-based inhibitors, tienilic acid, paroxetine, and erythromycin, for each enzyme in the cocktail-substrate assay were almost in agreement with the values obtained in the single-substrate assay. Using this system, we confirmed that multiple CYP inactivation caused by mechanism-based inhibitors such as isoniazid and amiodarone could be detected simultaneously. Mechanism-based inhibition potency can be estimated by the determination of the observed inactivation rate constants (k(obs)) at a single concentration of test compounds because the k(obs) of eleven CYP3A inactivators at 10 microM in the assay system nearly corresponded to k(inact)/K(I) values, an indicator of a compound's propensity to alter the activity of a CYP in vivo (R(2) = 0.97). Therefore, this cocktail-substrate assay is considered to be a powerful tool for evaluating mechanism-based inhibition at an early stage of drug development.

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Year:  2009        PMID: 19480547     DOI: 10.1080/00498250902822204

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


  7 in total

1.  Risk assessment of mechanism-based inactivation in drug-drug interactions.

Authors:  Yasushi Fujioka; Kent L Kunze; Nina Isoherranen
Journal:  Drug Metab Dispos       Date:  2012-06-08       Impact factor: 3.922

2.  P450-Based Drug-Drug Interactions of Amiodarone and its Metabolites: Diversity of Inhibitory Mechanisms.

Authors:  Matthew G McDonald; Nicholas T Au; Allan E Rettie
Journal:  Drug Metab Dispos       Date:  2015-08-21       Impact factor: 3.922

3.  Reversible Mechanisms of Enzyme Inhibition and Resulting Clinical Significance.

Authors:  Barbara Ring; Steven A Wrighton; Michael Mohutsky
Journal:  Methods Mol Biol       Date:  2021

4.  A Physiologically Based Pharmacokinetic Model of Amiodarone and its Metabolite Desethylamiodarone in Rats: Pooled Analysis of Published Data.

Authors:  Jing-Tao Lu; Ying Cai; Feng Chen; Wei-Wei Jia; Zhe-Yi Hu; Yuan-Sheng Zhao
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2016-12       Impact factor: 2.441

Review 5.  The role of metabolites in predicting drug-drug interactions: focus on irreversible cytochrome P450 inhibition.

Authors:  Brooke M VandenBrink; Nina Isoherranen
Journal:  Curr Opin Drug Discov Devel       Date:  2010-01

6.  Warfarin-amiodarone drug-drug interactions: determination of [I](u)/K(I,u) for amiodarone and its plasma metabolites.

Authors:  M G McDonald; N T Au; A K Wittkowsky; A E Rettie
Journal:  Clin Pharmacol Ther       Date:  2012-03-07       Impact factor: 6.875

7.  Comparison of Liver Cell Models Using the Basel Phenotyping Cocktail.

Authors:  Benjamin Berger; Massimiliano Donzelli; Swarna Maseneni; Franziska Boess; Adrian Roth; Stephan Krähenbühl; Manuel Haschke
Journal:  Front Pharmacol       Date:  2016-11-21       Impact factor: 5.810

  7 in total

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