Literature DB >> 23139378

Analysis of the repaglinide concentration increase produced by gemfibrozil and itraconazole based on the inhibition of the hepatic uptake transporter and metabolic enzymes.

Toshiyuki Kudo1, Akihiro Hisaka, Yuichi Sugiyama, Kiyomi Ito.   

Abstract

The plasma concentration of repaglinide is reported to increase greatly when given after repeated oral administration of itraconazole and gemfibrozil. The present study analyzed this interaction based on a physiologically based pharmacokinetic (PBPK) model incorporating inhibition of the hepatic uptake transporter and metabolic enzymes involved in repaglinide disposition. Firstly, the plasma concentration profiles of inhibitors (itraconazole, gemfibrozil, and gemfibrozil glucuronide) were reproduced by a PBPK model to obtain their pharmacokinetic parameters. The plasma concentration profiles of repaglinide were then analyzed by a PBPK model, together with those of the inhibitors, assuming a competitive inhibition of CYP3A4 by itraconazole, mechanism-based inhibition of CYP2C8 by gemfibrozil glucuronide, and inhibition of organic anion transporting polypeptide (OATP) 1B1 by gemfibrozil and its glucuronide. The plasma concentration profiles of repaglinide were well reproduced by the PBPK model based on the above assumptions, and the optimized values for the inhibition constants (0.0676 nM for itraconazole against CYP3A4; 14.2 μM for gemfibrozil against OATP1B1; and 5.48 μM for gemfibrozil glucuronide against OATP1B1) and the fraction of repaglinide metabolized by CYP2C8 (0.801) were consistent with the reported values. The validity of the obtained parameters was further confirmed by sensitivity analyses and by reproducing the repaglinide concentration increase produced by concomitant gemfibrozil administration at various timings/doses. The present findings suggested that the reported concentration increase of repaglinide, suggestive of synergistic effects of the coadministered inhibitors, can be quantitatively explained by the simultaneous inhibition of the multiple clearance pathways of repaglinide.

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Year:  2012        PMID: 23139378     DOI: 10.1124/dmd.112.049460

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


  9 in total

Review 1.  Physiologically Based Pharmacokinetic (PBPK) Modeling and Simulation Approaches: A Systematic Review of Published Models, Applications, and Model Verification.

Authors:  Jennifer E Sager; Jingjing Yu; Isabelle Ragueneau-Majlessi; Nina Isoherranen
Journal:  Drug Metab Dispos       Date:  2015-08-21       Impact factor: 3.922

2.  In Silico Prediction of Major Clearance Pathways of Drugs among 9 Routes with Two-Step Support Vector Machines.

Authors:  Naomi Wakayama; Kota Toshimoto; Kazuya Maeda; Shun Hotta; Takashi Ishida; Yutaka Akiyama; Yuichi Sugiyama
Journal:  Pharm Res       Date:  2018-08-24       Impact factor: 4.200

3.  Irreversible Enzyme Inhibition Kinetics and Drug-Drug Interactions.

Authors:  Michael Mohutsky; Stephen D Hall
Journal:  Methods Mol Biol       Date:  2021

4.  Implications of intercorrelation between hepatic CYP3A4-CYP2C8 enzymes for the evaluation of drug-drug interactions: a case study with repaglinide.

Authors:  Kosuke Doki; Adam S Darwich; Brahim Achour; Aleksi Tornio; Janne T Backman; Amin Rostami-Hodjegan
Journal:  Br J Clin Pharmacol       Date:  2018-03-06       Impact factor: 4.335

5.  A Clinical Cassette Dosing Study for Evaluating the Contribution of Hepatic OATPs and CYP3A to Drug-Drug Interactions.

Authors:  Takashi Yoshikado; Kazuya Maeda; Sawako Furihata; Hanano Terashima; Takeshi Nakayama; Keiko Ishigame; Kazunobu Tsunemoto; Hiroyuki Kusuhara; Ken-Ichi Furihata; Yuichi Sugiyama
Journal:  Pharm Res       Date:  2017-05-08       Impact factor: 4.200

6.  Reduced physiologically-based pharmacokinetic model of repaglinide: impact of OATP1B1 and CYP2C8 genotype and source of in vitro data on the prediction of drug-drug interaction risk.

Authors:  Michael Gertz; Nikolaos Tsamandouras; Carolina Säll; J Brian Houston; Aleksandra Galetin
Journal:  Pharm Res       Date:  2014-03-13       Impact factor: 4.200

Review 7.  Drug interactions of meglitinide antidiabetics involving CYP enzymes and OATP1B1 transporter.

Authors:  Naina Mohamed Pakkir Maideen; Gobinath Manavalan; Kumar Balasubramanian
Journal:  Ther Adv Endocrinol Metab       Date:  2018-04-06       Impact factor: 3.565

8.  Investigating Transporter-Mediated Drug-Drug Interactions Using a Physiologically Based Pharmacokinetic Model of Rosuvastatin.

Authors:  Q Wang; M Zheng; T Leil
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2017-03-13

9.  Prediction of Drug-Drug Interactions with Bupropion and Its Metabolites as CYP2D6 Inhibitors Using a Physiologically-Based Pharmacokinetic Model.

Authors:  Caifu Xue; Xunjie Zhang; Weimin Cai
Journal:  Pharmaceutics       Date:  2017-12-21       Impact factor: 6.321

  9 in total

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