Literature DB >> 28495568

Quantitative Analyses of the Influence of Parameters Governing Rate-Determining Process of Hepatic Elimination of Drugs on the Magnitudes of Drug-Drug Interactions via Hepatic OATPs and CYP3A Using Physiologically Based Pharmacokinetic Models.

Takashi Yoshikado1, Kazuya Maeda2, Hiroyuki Kusuhara2, Ken-Ichi Furihata3, Yuichi Sugiyama4.   

Abstract

Physiologically based pharmacokinetic models were constructed for hepatic organic anion-transporting polypeptides (OATPs) and cytochrome P450 3A (CYP3A) substrates (bosentan, repaglinide, clarithromycin, and simeprevir), a CYP3A probe substrate (midazolam), and selective inhibitors for OATPs (rifampicin) and CYP3A (itraconazole), although the role of OATPs in the hepatic uptake of clarithromycin is unclear. The pharmacokinetic data were obtained from our previous clinical drug-drug interaction (DDI) study. Parameters optimized from clinical PK data were confirmed to reproduce their blood concentrations in control phase. DDIs with rifampicin and itraconazole were simulated using in vivo Rdif (ratio of diffusional uptake to active uptake) and β (the fraction of the sum of intrinsic clearances for metabolism and biliary excretion in all possible itineraries of intracellular drugs including basolateral efflux) estimated by static analyses based on the extended clearance concept, in vivo inhibition constant (Ki) for hepatic OATPs reported previously, and in vivo Ki for CYP3A determined from DDI data with midazolam and itraconazole. Sensitivity analyses showed the magnitudes of DDIs largely depended on Rdif and β. In conclusion, our approach using physiologically based pharmacokinetic modeling showed that the rational estimation of parameters governing rate-determining process of hepatic elimination is critical to accurately predict DDI magnitudes involving OATPs/CYP3A inhibition.
Copyright © 2017 American Pharmacists Association®. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  cytochrome P450; drug interaction; hepatic clearance; mathematical model; organic anion-transporting polypeptide transporters; pharmacokinetics

Mesh:

Substances:

Year:  2017        PMID: 28495568     DOI: 10.1016/j.xphs.2017.05.001

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


  3 in total

1.  When Does the Rate-Determining Step in the Hepatic Clearance of a Drug Switch from Sinusoidal Uptake to All Hepatobiliary Clearances? Implications for Predicting Drug-Drug Interactions.

Authors:  Gabriela I Patilea-Vrana; Jashvant D Unadkat
Journal:  Drug Metab Dispos       Date:  2018-08-16       Impact factor: 3.922

2.  The Extended Clearance Concept Following Oral and Intravenous Dosing: Theory and Critical Analyses.

Authors:  Leslie Z Benet; Christine M Bowman; Shufang Liu; Jasleen K Sodhi
Journal:  Pharm Res       Date:  2018-10-22       Impact factor: 4.200

3.  Quantitative Prediction of Interactions Mediated by Transporters and Cytochromes: Application to Organic Anion Transporting Polypeptides, Breast Cancer Resistance Protein and Cytochrome 2C8.

Authors:  Michel Tod; Laurent Bourguignon; Nathalie Bleyzac; Sylvain Goutelle
Journal:  Clin Pharmacokinet       Date:  2020-06       Impact factor: 6.447

  3 in total

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