Literature DB >> 28479356

Quantitative Analysis of Complex Drug-Drug Interactions Between Repaglinide and Cyclosporin A/Gemfibrozil Using Physiologically Based Pharmacokinetic Models With In Vitro Transporter/Enzyme Inhibition Data.

Soo-Jin Kim1, Kota Toshimoto2, Yoshiaki Yao3, Takashi Yoshikado2, Yuichi Sugiyama2.   

Abstract

Quantitative analysis of transporter- and enzyme-mediated complex drug-drug interactions (DDIs) is challenging. Repaglinide (RPG) is transported into the liver by OATP1B1 and then is metabolized by CYP2C8 and CYP3A4. The purpose of this study was to describe the complex DDIs of RPG quantitatively based on unified physiologically based pharmacokinetic (PBPK) models using in vitro Ki values for OATP1B1, CYP3A4, and CYP2C8. Cyclosporin A (CsA) or gemfibrozil (GEM) increased the blood concentrations of RPG. The time profiles of RPG and the inhibitors were analyzed by PBPK models, considering the inhibition of OATP1B1 and CYP3A4 by CsA or OATP1B1 inhibition by GEM and its glucuronide and the mechanism-based inhibition of CYP2C8 by GEM glucuronide. RPG-CsA interaction was closely predicted using a reported in vitro Ki,OATP1B1 value in the presence of CsA preincubation. RPG-GEM interaction was underestimated compared with observed data, but the simulation was improved with the increase of fm,CYP2C8. These results based on in vitro Ki values for transport and metabolism suggest the possibility of a bottom-up approach with in vitro inhibition data for the prediction of complex DDIs using unified PBPK models and in vitro fm value of a substrate for multiple enzymes should be considered carefully for the prediction.
Copyright © 2017 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CYP enzymes; clinical trial simulations; drug interactions; organic anion-transporting polypeptide transporters; pharmacokinetics; physiologically based pharmacokinetic modeling

Mesh:

Substances:

Year:  2017        PMID: 28479356     DOI: 10.1016/j.xphs.2017.04.063

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


  4 in total

1.  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

Review 2.  Membrane transporter data to support kinetically-informed chemical risk assessment using non-animal methods: Scientific and regulatory perspectives.

Authors:  Laure-Alix Clerbaux; Alicia Paini; Annie Lumen; Hanan Osman-Ponchet; Andrew P Worth; Olivier Fardel
Journal:  Environ Int       Date:  2019-03-08       Impact factor: 9.621

3.  Expanded Physiologically-Based Pharmacokinetic Model of Rifampicin for Predicting Interactions With Drugs and an Endogenous Biomarker via Complex Mechanisms Including Organic Anion Transporting Polypeptide 1B Induction.

Authors:  Ryuta Asaumi; Karsten Menzel; Wooin Lee; Ken-Ichi Nunoya; Haruo Imawaka; Hiroyuki Kusuhara; Yuichi Sugiyama
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2019-09-05

4.  Capturing the applicability of in vitro-in silico membrane transporter data in chemical risk assessment and biomedical research.

Authors:  Laure-Alix Clerbaux; Sandra Coecke; Annie Lumen; Tomas Kliment; Andrew P Worth; Alicia Paini
Journal:  Sci Total Environ       Date:  2018-07-14       Impact factor: 7.963

  4 in total

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