Literature DB >> 18537575

Cytochrome p450 turnover: regulation of synthesis and degradation, methods for determining rates, and implications for the prediction of drug interactions.

Jiansong Yang1, Mingxiang Liao, Magang Shou, Masoud Jamei, Karen Rowland Yeo, Geoffrey T Tucker, Amin Rostami-Hodjegan.   

Abstract

In vivo enzyme levels are governed by the rates of de novo enzyme synthesis and degradation. A current lack of consensus on values of the in vivo turnover half-lives of human cytochrome P450 (CYP) enzymes places a significant limitation on the accurate prediction of changes in drug concentration-time profiles associated with interactions involving enzyme induction and mechanism (time)-based inhibition (MBI). In the case of MBI, the full extent of inhibition is also sensitive to values of enzyme turnover half-life. We review current understanding of CYP regulation, discuss the pros and cons of various in vitro and in vivo approaches used to estimate the turnover of specific CYPs and, by simulation, consider the impact of variability in estimates of CYP turnover on the prediction of enzyme induction and MBI in vivo. In the absence of consensus on values for the in vivo turnover half-lives of key CYPs, a sensitivity analysis of predictions of the pharmacokinetic effects of enzyme induction and MBI to these values should be an integral part of the modelling exercise, and the selective use of values should be avoided.

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Year:  2008        PMID: 18537575     DOI: 10.2174/138920008784746382

Source DB:  PubMed          Journal:  Curr Drug Metab        ISSN: 1389-2002            Impact factor:   3.731


  60 in total

1.  Drug-drug interaction potential of marketed oncology drugs: in vitro assessment of time-dependent cytochrome P450 inhibition, reactive metabolite formation and drug-drug interaction prediction.

Authors:  Jane R Kenny; Sophie Mukadam; Chenghong Zhang; Suzanne Tay; Carol Collins; Aleksandra Galetin; S Cyrus Khojasteh
Journal:  Pharm Res       Date:  2012-03-14       Impact factor: 4.200

2.  Risk assessment of mechanism-based inactivation in drug-drug interactions.

Authors:  Yasushi Fujioka; Kent L Kunze; Nina Isoherranen
Journal:  Drug Metab Dispos       Date:  2012-06-08       Impact factor: 3.922

3.  Potent mechanism-based inhibition of CYP3A4 by imatinib explains its liability to interact with CYP3A4 substrates.

Authors:  A M Filppula; J Laitila; P J Neuvonen; J T Backman
Journal:  Br J Pharmacol       Date:  2012-04       Impact factor: 8.739

4.  Physiologically based pharmacokinetic model of mechanism-based inhibition of CYP3A by clarithromycin.

Authors:  Sara K Quinney; Xin Zhang; Aroonrut Lucksiri; J Christopher Gorski; Lang Li; Stephen D Hall
Journal:  Drug Metab Dispos       Date:  2009-11-02       Impact factor: 3.922

Review 5.  [Drug interactions in geriatric medicine].

Authors:  Angela Storka; Johannes Pleiner
Journal:  Wien Med Wochenschr       Date:  2009

6.  Michaelis-Menten from an In Vivo Perspective: Open Versus Closed Systems.

Authors:  Johan Gabrielsson; Lambertus A Peletier
Journal:  AAPS J       Date:  2018-09-12       Impact factor: 4.009

7.  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

8.  Predicting nonlinear pharmacokinetics of omeprazole enantiomers and racemic drug using physiologically based pharmacokinetic modeling and simulation: application to predict drug/genetic interactions.

Authors:  Fang Wu; Lu Gaohua; Ping Zhao; Masoud Jamei; Shiew-Mei Huang; Edward D Bashaw; Sue-Chih Lee
Journal:  Pharm Res       Date:  2014-03-04       Impact factor: 4.200

9.  Ubiquitin-dependent proteasomal degradation of human liver cytochrome P450 2E1: identification of sites targeted for phosphorylation and ubiquitination.

Authors:  YongQiang Wang; Shenheng Guan; Poulomi Acharya; Dennis R Koop; Yi Liu; Mingxiang Liao; Alma L Burlingame; Maria Almira Correia
Journal:  J Biol Chem       Date:  2011-01-05       Impact factor: 5.157

10.  Pharmacokinetic interaction between telaprevir and methadone.

Authors:  Rolf van Heeswijk; Peter Verboven; Ann Vandevoorde; Petra Vinck; Jan Snoeys; Griet Boogaerts; Els De Paepe; Rodica Van Solingen-Ristea; James Witek; Varun Garg
Journal:  Antimicrob Agents Chemother       Date:  2013-03-11       Impact factor: 5.191

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