Literature DB >> 21395646

In silico prediction of efavirenz and rifampicin drug-drug interaction considering weight and CYP2B6 phenotype.

Dinko Rekić1, Daniel Röshammar, Jackson Mukonzo, Michael Ashton.   

Abstract

AIMS: This study aimed to test whether a pharmacokinetic simulation model could extrapolate nonclinical drug data to predict human efavirenz exposure after single and continuous dosing as well as the effects of concomitant rifampicin and further to evaluate the weight-based dosage recommendations used to counteract the rifampicin-efavirenz interaction.
METHODS: Efavirenz pharmacokinetics were simulated using a physiologically based pharmacokinetic model implemented in the Simcyp™ population-based simulator. Physicochemical and metabolism data obtained from the literature were used as input for prediction of pharmacokinetic parameters. The model was used to simulate the effects of rifampicin on efavirenz pharmacokinetics in 400 virtual patients, taking into account bodyweight and CYP2B6 phenotype.
RESULTS: Apart from the absorption phase, the simulation model predicted efavirenz concentration-time profiles reasonably well, with close agreement with clinical data. The simulated effects of rifampicin co-administration on efavirenz treatment showed only a minor decrease of 16% (95% confidence interval 13-19) in efavirenz area under the concentration-time curve, of the same magnitude as what has been clinically observed (22%). Efavirenz exposure depended on CYP2B6 phenotype and bodyweight. Increasing the efavirenz dose during concomitant rifampicin was predicted to be most successful in patients over 50 kg regardless of CYP2B6 status.
CONCLUSIONS: Our findings, although based on a simulation approach using limited in vitro data, support the current recommendations for using a 50 kg bodyweight cut-off for efavirenz dose increment when co-treating with rifampicin.
© 2011 The Authors. British Journal of Clinical Pharmacology © 2011 The British Pharmacological Society.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21395646      PMCID: PMC3080641          DOI: 10.1111/j.1365-2125.2010.03883.x

Source DB:  PubMed          Journal:  Br J Clin Pharmacol        ISSN: 0306-5251            Impact factor:   4.335


  34 in total

1.  The cytochrome P450 2B6 (CYP2B6) is the main catalyst of efavirenz primary and secondary metabolism: implication for HIV/AIDS therapy and utility of efavirenz as a substrate marker of CYP2B6 catalytic activity.

Authors:  Bryan A Ward; J Christopher Gorski; David R Jones; Stephen D Hall; David A Flockhart; Zeruesenay Desta
Journal:  J Pharmacol Exp Ther       Date:  2003-04-03       Impact factor: 4.030

2.  The influence of nonspecific microsomal binding on apparent intrinsic clearance, and its prediction from physicochemical properties.

Authors:  Rupert P Austin; Patrick Barton; Scott L Cockroft; Mark C Wenlock; Robert J Riley
Journal:  Drug Metab Dispos       Date:  2002-12       Impact factor: 3.922

3.  Predicting drug clearance from recombinantly expressed CYPs: intersystem extrapolation factors.

Authors:  N J Proctor; G T Tucker; A Rostami-Hodjegan
Journal:  Xenobiotica       Date:  2004-02       Impact factor: 1.908

4.  Efavirenz primary and secondary metabolism in vitro and in vivo: identification of novel metabolic pathways and cytochrome P450 2A6 as the principal catalyst of efavirenz 7-hydroxylation.

Authors:  Evan T Ogburn; David R Jones; Andrea R Masters; Cong Xu; Yingying Guo; Zeruesenay Desta
Journal:  Drug Metab Dispos       Date:  2010-03-24       Impact factor: 3.922

5.  Comparison of initial combination antiretroviral therapy with a single protease inhibitor, ritonavir and saquinavir, or efavirenz.

Authors:  G M Lucas; R E Chaisson; R D Moore
Journal:  AIDS       Date:  2001-09-07       Impact factor: 4.177

6.  Induction of CYP3A4 by efavirenz in primary human hepatocytes: comparison with rifampin and phenobarbital.

Authors:  Niresh Hariparsad; Srikanth C Nallani; Rucha S Sane; Donna J Buckley; Arthur R Buckley; Pankaj B Desai
Journal:  J Clin Pharmacol       Date:  2004-11       Impact factor: 3.126

7.  Regulation of CYP2B6 in primary human hepatocytes by prototypical inducers.

Authors:  Stephanie R Faucette; Hongbing Wang; Geraldine A Hamilton; Summer L Jolley; Darryl Gilbert; Celeste Lindley; Bingfang Yan; Masahiko Negishi; Edward L LeCluyse
Journal:  Drug Metab Dispos       Date:  2004-03       Impact factor: 3.922

8.  Population pharmacokinetic meta-analysis with efavirenz.

Authors:  J S Barrett; A S Joshi; M Chai; T M Ludden; W D Fiske; H J Pieniaszek
Journal:  Int J Clin Pharmacol Ther       Date:  2002-11       Impact factor: 1.366

9.  Population pharmacokinetics and effects of efavirenz in patients with human immunodeficiency virus infection.

Authors:  Chantal Csajka; Catia Marzolini; Karin Fattinger; Laurent A Décosterd; Jacques Fellay; Amalio Telenti; Jérôme Biollaz; Thierry Buclin
Journal:  Clin Pharmacol Ther       Date:  2003-01       Impact factor: 6.875

10.  Comparison of nevirapine- and efavirenz-containing antiretroviral regimens in antiretroviral-naïve patients: a cohort study.

Authors:  Philip Keiser; Naiel Nassar; Clinton White; Glenda Koen; Sylvia Moreno
Journal:  HIV Clin Trials       Date:  2002 Jul-Aug
View more
  22 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 vitro-in vivo correlation of efavirenz tablets using GastroPlus®.

Authors:  Thiago da Silva Honório; Eduardo Costa Pinto; Helvécio Vinicius A Rocha; Valeria Sant'Anna Dantas Esteves; Tereza Cristina dos Santos; Helena Carla Rangel Castro; Carlos Rangel Rodrigues; Valeria Pereira de Sousa; Lucio Mendes Cabral
Journal:  AAPS PharmSciTech       Date:  2013-08-14       Impact factor: 3.246

3.  Drug-drug interactions--bridging the gulf between the bench and the bedside?

Authors:  Y K Loke
Journal:  Br J Clin Pharmacol       Date:  2011-04       Impact factor: 4.335

4.  The influence of tuberculosis treatment on efavirenz clearance in patients co-infected with HIV and tuberculosis.

Authors:  Tanuja N Gengiah; Nicholas H G Holford; Julia H Botha; Andrew L Gray; Kogieleum Naidoo; Salim S Abdool Karim
Journal:  Eur J Clin Pharmacol       Date:  2011-11-23       Impact factor: 2.953

Review 5.  Impact of CYP polymorphisms, ethnicity and sex differences in metabolism on dosing strategies: the case of efavirenz.

Authors:  Panjasaram Naidoo; Vasudevan V Chetty; Manoranjenni Chetty
Journal:  Eur J Clin Pharmacol       Date:  2014-01-05       Impact factor: 2.953

6.  Physiologically Based Pharmacokinetic Predictions of Tramadol Exposure Throughout Pediatric Life: an Analysis of the Different Clearance Contributors with Emphasis on CYP2D6 Maturation.

Authors:  Huybrecht T'jollyn; Jan Snoeys; An Vermeulen; Robin Michelet; Filip Cuyckens; Geert Mannens; Achiel Van Peer; Pieter Annaert; Karel Allegaert; Jan Van Bocxlaer; Koen Boussery
Journal:  AAPS J       Date:  2015-07-25       Impact factor: 4.009

7.  Evaluation of Cytochrome P450 3A4-Mediated Drug-Drug Interaction Potential for Cobimetinib Using Physiologically Based Pharmacokinetic Modeling and Simulation.

Authors:  Nageshwar R Budha; Tao Ji; Luna Musib; Steve Eppler; Mark Dresser; Yuan Chen; Jin Y Jin
Journal:  Clin Pharmacokinet       Date:  2016-11       Impact factor: 6.447

8.  CYP2B6 pharmacogenetics-based in vitro-in vivo extrapolation of efavirenz clearance by physiologically based pharmacokinetic modeling.

Authors:  Cong Xu; Sara K Quinney; Yingying Guo; Stephen D Hall; Lang Li; Zeruesenay Desta
Journal:  Drug Metab Dispos       Date:  2013-07-11       Impact factor: 3.922

9.  Strategies for Determining Correct Cytochrome P450 Contributions in Hepatic Clearance Predictions: In Vitro-In Vivo Extrapolation as Modelling Approach and Tramadol as Proof-of Concept Compound.

Authors:  Huybrecht T'jollyn; Jan Snoeys; Jan Van Bocxlaer; Lies De Bock; Pieter Annaert; Achiel Van Peer; Karel Allegaert; Geert Mannens; An Vermeulen; Koen Boussery
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2017-06       Impact factor: 2.441

10.  Prediction of drug-drug interactions between various antidepressants and efavirenz or boosted protease inhibitors using a physiologically based pharmacokinetic modelling approach.

Authors:  Marco Siccardi; Catia Marzolini; Kay Seden; Lisa Almond; Anna Kirov; Saye Khoo; Andrew Owen; David Back
Journal:  Clin Pharmacokinet       Date:  2013-07       Impact factor: 6.447

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.