Literature DB >> 28238899

Estimation of the Contribution of CYP2C8 and CYP3A4 in Repaglinide Metabolism by Human Liver Microsomes Under Various Buffer Conditions.

Toshiyuki Kudo1, Hitomi Goda1, Yuki Yokosuka1, Ryo Tanaka1, Seina Komatsu1, Kiyomi Ito2.   

Abstract

We have previously reported that the microsomal activities of CYP2C8 and CYP3A4 largely depend on the buffer condition used in in vitro metabolic studies, with different patterns observed between the 2 isozymes. In the present study, therefore, the possibility of buffer condition dependence of the fraction metabolized by CYP2C8 (fm2C8) for repaglinide, a dual substrate of CYP2C8 and CYP3A4, was estimated using human liver microsomes under various buffer conditions. Montelukast and ketoconazole showed a potent and concentration-dependent inhibition of CYP2C8-mediated paclitaxel 6α-hydroxylation and CYP3A4-mediated triazolam α-hydroxylation, respectively, without dependence on the buffer condition. Repaglinide depletion was inhibited by both inhibitors, but the degree of inhibition depended on buffer conditions. Based on these results, the contribution of CYP2C8 in repaglinide metabolism was estimated to be larger than that of CYP3A4 under each buffer condition, and the fm2C8 value of 0.760, estimated in 50 mM phosphate buffer, was the closest to the value (0.801) estimated in our previous modeling analysis based on its concentration increase in a clinical drug interaction study. Researchers should be aware of the possibility of buffer condition affecting the estimated contribution of enzyme(s) in drug metabolism processes involving multiple enzymes.
Copyright © 2017 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  cytochrome P450; drug interactions; hepatic metabolism; inhibition; in vitro/in vivo correlations (IVIVC); metabolic clearance; microsomes

Mesh:

Substances:

Year:  2017        PMID: 28238899     DOI: 10.1016/j.xphs.2017.02.013

Source DB:  PubMed          Journal:  J Pharm Sci        ISSN: 0022-3549            Impact factor:   3.534


  3 in total

1.  Physiologically Based Pharmacokinetic Modelling to Identify Pharmacokinetic Parameters Driving Drug Exposure Changes in the Elderly.

Authors:  Felix Stader; Hannah Kinvig; Melissa A Penny; Manuel Battegay; Marco Siccardi; Catia Marzolini
Journal:  Clin Pharmacokinet       Date:  2020-03       Impact factor: 6.447

2.  Prediction of Cyclosporin-Mediated Drug Interaction Using Physiologically Based Pharmacokinetic Model Characterizing Interplay of Drug Transporters and Enzymes.

Authors:  Yiting Yang; Ping Li; Zexin Zhang; Zhongjian Wang; Li Liu; Xiaodong Liu
Journal:  Int J Mol Sci       Date:  2020-09-24       Impact factor: 5.923

3.  Risk of hypoglycemia associated with repaglinide combined with clopidogrel, a retrospective cohort study.

Authors:  Yuuki Akagi; Akiko Iketaki; Haruna Kimura; Yuki Matsudaira; Takami Yoshida; Takahiro Nishimura; Yohei Kawano; Yasunari Mano; Erina Shigematsu; Makoto Ujihara
Journal:  J Pharm Health Care Sci       Date:  2020-03-18
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.