Literature DB >> 23686764

Application of permeability-limited physiologically-based pharmacokinetic models: part II - prediction of P-glycoprotein mediated drug-drug interactions with digoxin.

Sibylle Neuhoff1, Karen Rowland Yeo, Zoe Barter, Masoud Jamei, David B Turner, Amin Rostami-Hodjegan.   

Abstract

Digoxin is the recommended substrate for assessment of P-glycoprotein (P-gp)-mediated drug-drug interactions (DDIs) in vivo. The overall aim of our study was to investigate the inhibitory potential of both verapamil and norverapamil on the P-gp-mediated efflux of digoxin in both gut and liver. Therefore, a physiologically-based pharmacokinetic (PBPK) model for verapamil and its primary metabolite was developed and validated through the recovery of observed clinical plasma concentration data for both moieties and the reported interaction with midazolam, albeit a cytochrome P450 3A4-mediated DDI. The validated inhibitor model was then used in conjunction with the model developed previously for digoxin. The range of values obtained for the 10 trials indicated that increases in area under the plasma concentration-time curve (AUC) profiles and maximum plasma concentration observed (Cmax ) values of digoxin following administration of verapamil were more comparable with in vivo observations, when P-gp inhibition by the metabolite, norverapamil, was considered as well. The predicted decrease in AUC and Cmax values of digoxin following administration of rifampicin because of P-gp induction was 1.57- (range: 1.42-1.77) and 1.62-fold (range: 1.53-1.70), which were reasonably consistent with observed values of 1.4- and 2.2-fold, respectively. This study demonstrates the application of permeability-limited models of absorption and distribution within a PBPK framework together with relevant in vitro data on transporters to assess the clinical impact of modulated P-gp-mediated efflux by drugs in development.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  ABCB1; MDR1; P-glycoprotein; digoxin; pharmacokinetics; simulation; transporter; transporter-mediated drug-drug interactions

Mesh:

Substances:

Year:  2013        PMID: 23686764     DOI: 10.1002/jps.23607

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


  21 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.  Physiologically Based Pharmacokinetic Modelling of Hyperforin to Predict Drug Interactions with St John's Wort.

Authors:  Jeffry Adiwidjaja; Alan V Boddy; Andrew J McLachlan
Journal:  Clin Pharmacokinet       Date:  2019-07       Impact factor: 6.447

3.  Drug absorption related nephrotoxicity assessment on an intestine-kidney chip.

Authors:  Zhongyu Li; Wentao Su; Yujuan Zhu; Tingting Tao; Dong Li; Xiaojun Peng; Jianhua Qin
Journal:  Biomicrofluidics       Date:  2017-06-01       Impact factor: 2.800

4.  Physiologically based pharmacokinetic modelling and in vivo [I]/K(i) accurately predict P-glycoprotein-mediated drug-drug interactions with dabigatran etexilate.

Authors:  Yuansheng Zhao; Zhe-Yi Hu
Journal:  Br J Pharmacol       Date:  2014-02       Impact factor: 8.739

5.  Quantitative Assessment of Elagolix Enzyme-Transporter Interplay and Drug-Drug Interactions Using Physiologically Based Pharmacokinetic Modeling.

Authors:  Manoj S Chiney; Juki Ng; John P Gibbs; Mohamad Shebley
Journal:  Clin Pharmacokinet       Date:  2020-05       Impact factor: 6.447

6.  Assessing OATP1B1- and OATP1B3-Mediated Drug-Drug Interaction Potential of Vemurafenib Using R-Value and Physiologically-Based Pharmacokinetic Models.

Authors:  Ruhul Kayesh; Taleah Farasyn; Alexandra Crowe; Qiang Liu; Sonia Pahwa; Khondoker Alam; Sibylle Neuhoff; Oliver Hatley; Kai Ding; Wei Yue
Journal:  J Pharm Sci       Date:  2020-06-23       Impact factor: 3.534

7.  Delineating the Role of Various Factors in Renal Disposition of Digoxin through Application of Physiologically Based Kidney Model to Renal Impairment Populations.

Authors:  Daniel Scotcher; Christopher R Jones; Aleksandra Galetin; Amin Rostami-Hodjegan
Journal:  J Pharmacol Exp Ther       Date:  2017-01-05       Impact factor: 4.030

Review 8.  Intestinal P-gp and Putative Hepatic OATP1B Induction: International Transporter Consortium Perspective on Drug Development Implications.

Authors:  Maciej J Zamek-Gliszczynski; Mitesh Patel; Xinning Yang; Justin D Lutz; Xiaoyan Chu; Kim L R Brouwer; Yurong Lai; Caroline A Lee; Sibylle Neuhoff; Mary F Paine; Yuichi Sugiyama; Kunal S Taskar; Aleksandra Galetin
Journal:  Clin Pharmacol Ther       Date:  2020-07-09       Impact factor: 6.875

9.  The functional influences of common ABCB1 genetic variants on the inhibition of P-glycoprotein by Antrodia cinnamomea extracts.

Authors:  Ming-Jyh Sheu; Yu-Ning Teng; Ying-Yi Chen; Chin-Chuan Hung
Journal:  PLoS One       Date:  2014-02-25       Impact factor: 3.240

10.  Differences in P-glycoprotein activity in human and rodent blood-brain barrier assessed by mechanistic modelling.

Authors:  Laurens F M Verscheijden; Jan B Koenderink; Saskia N de Wildt; Frans G M Russel
Journal:  Arch Toxicol       Date:  2021-07-15       Impact factor: 5.153

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