Literature DB >> 31047967

Simultaneously predict pharmacokinetic interaction of rifampicin with oral versus intravenous substrates of cytochrome P450 3A/P‑glycoprotein to healthy human using a semi-physiologically based pharmacokinetic model involving both enzyme and transporter turnover.

Chao-Qun Qian1, Kai-Jing Zhao1, Yang Chen1, Li Liu1, Xiao-Dong Liu2.   

Abstract

Several reports demonstrated that rifampicin affected pharmacokinetics of victim drugs following oral more than intravenous administration. We aimed to establish a semi-physiologically based pharmacokinetic (semi-PBPK) model involving both enzyme and transporter turnover to simultaneously predict pharmacokinetic interaction of rifampicin with oral versus intravenous substrates of cytochrome P450 (CYP) 3A4/P‑glycoprotein (P-GP) in human. Rifampicin was chosen as the CYP3A /P-GP inducer. Thirteen victim drugs including P-GP substrates (digoxin and talinolol), CYP3A substrates (alfentanil, midazolam, nifedipine, ondansetron and oxycodone), dual substrates of CYP3A/P-GP (quinidine, cyclosporine A, tacrolimus and verapamil) and complex substrates (S-ketamine and tramadol) were chosen to investigate drug-drug interactions (DDIs) with rifampicin. Corresponding parameters were cited from literatures. Before and after multi-dose of oral rifampicin, the pharmacokinetic profiles of victim drugs for oral or intravenous administration to human were predicted using the semi-PBPK model and compared with the observed values. Contribution of both CYP3A and P-GP induction in intestine and liver by rifampicin to pharmacokinetic profiles of victim drugs was investigated. The predicted pharmacokinetic profiles of drugs before and after rifampicin administration accorded with the observations. The predicted pharmacokinetic parameters and DDIs were successful, whose fold-errors were within 2. It was consistent with observations that the DDIs of rifampicin with oral victim drugs were larger than those with intravenous victim drugs. DDIs of rifampicin with CYP3A or P-GP substrates following oral versus intravenous administration to human were successfully predicted using the developed semi-PBPK model.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  CYP3A4/P-GP substrates; Drug-drug interaction; Rifampicin; Semi-PBPK model

Mesh:

Substances:

Year:  2019        PMID: 31047967     DOI: 10.1016/j.ejps.2019.04.026

Source DB:  PubMed          Journal:  Eur J Pharm Sci        ISSN: 0928-0987            Impact factor:   4.384


  6 in total

1.  Analysis of Complex Absorption After Multiple Dosing: Application to the Interaction Between the P-glycoprotein Substrate Talinolol and Rifampicin.

Authors:  Michael Weiss; David Z D'Argenio; Werner Siegmund
Journal:  Pharm Res       Date:  2022-09-26       Impact factor: 4.580

2.  Physiologically-Based Pharmacokinetic Modeling for the Prediction of a Drug-Drug Interaction of Combined Effects on P-glycoprotein and Cytochrome P450 3A.

Authors:  Yukio Otsuka; Mary P Choules; Peter L Bonate; Kanji Komatsu
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2020-11-12

3.  Flucloxacillin decreases tacrolimus blood trough levels: a single-center retrospective cohort study.

Authors:  Herman Veenhof; Hugo M Schouw; Martine T P Besouw; Daan J Touw; Valentina Gracchi
Journal:  Eur J Clin Pharmacol       Date:  2020-07-25       Impact factor: 2.953

4.  Transport Turnover Rates for Human OCT2 and MATE1 Expressed in Chinese Hamster Ovary Cells.

Authors:  Xiaohong Zhang; Stephen H Wright
Journal:  Int J Mol Sci       Date:  2022-01-27       Impact factor: 6.208

5.  The System Profile of Renal Drug Transporters in Tubulointerstitial Fibrosis Model and Consequent Effect on Pharmacokinetics.

Authors:  Birui Shi; Yan Zhang; Baolin Huang; Huiping Lin; Qiong Zhou; Yujue Wang; Zheng Cai; Menghua Liu
Journal:  Molecules       Date:  2022-01-21       Impact factor: 4.411

6.  A Whole-Body Physiologically Based Pharmacokinetic Model Characterizing Interplay of OCTs and MATEs in Intestine, Liver and Kidney to Predict Drug-Drug Interactions of Metformin with Perpetrators.

Authors:  Yiting Yang; Zexin Zhang; Ping Li; Weimin Kong; Xiaodong Liu; Li Liu
Journal:  Pharmaceutics       Date:  2021-05-11       Impact factor: 6.321

  6 in total

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