Literature DB >> 17968744

Mechanism-based inactivation of human cytochrome P450 enzymes: strategies for diagnosis and drug-drug interaction risk assessment.

K Venkatakrishnan1, R S Obach, A Rostami-Hodjegan.   

Abstract

Among drugs that cause pharmacokinetic drug-drug interactions, mechanism-based inactivators of cytochrome P450 represent several of those agents that cause interactions of the greatest magnitude. In vitro inactivation kinetic data can be used to predict the potential for new drugs to cause drug interactions in the clinic. However, several factors exist, each with its own uncertainty, that must be taken into account in order to predict the magnitude of interactions reliably. These include aspects of in vitro experimental design, an understanding of relevant in vivo concentrations of the inactivator, and the extent to which the inactivated enzyme is involved in the clearance of the affected drug. Additionally, the rate of enzyme degradation in vivo is also an important factor that needs to be considered in the prediction of the drug interaction magnitudes. To address mechanism-based inactivation for new drugs, various in vitro experimental approaches have been employed. The selection of approaches for in vitro kinetic characterization of inactivation as well as in vitro-in vivo extrapolation should be guided by the purpose of the exercise and the stage of drug discovery and development, with an increase in the level of sophistication throughout the research and development process.

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Year:  2007        PMID: 17968744     DOI: 10.1080/00498250701670945

Source DB:  PubMed          Journal:  Xenobiotica        ISSN: 0049-8254            Impact factor:   1.908


  21 in total

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2.  A numerical method for analysis of in vitro time-dependent inhibition data. Part 1. Theoretical considerations.

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3.  A numerical method for analysis of in vitro time-dependent inhibition data. Part 2. Application to experimental data.

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4.  Clarithromycin, Midazolam, and Digoxin: Application of PBPK Modeling to Gain New Insights into Drug-Drug Interactions and Co-medication Regimens.

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Journal:  AAPS J       Date:  2016-11-07       Impact factor: 4.009

5.  Pharmacokinetics of CYP2C9, CYP2C19, and CYP2D6 substrates in healthy Chinese and European subjects.

Authors:  Sijie Lu; R A Nand; J S Yang; Gang Chen; A S Gross
Journal:  Eur J Clin Pharmacol       Date:  2017-11-27       Impact factor: 2.953

6.  In vitro-in vivo extrapolation of zolpidem as a perpetrator of metabolic interactions involving CYP3A.

Authors:  Thomas M Polasek; Janani S Sadagopal; David J Elliot; John O Miners
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7.  Selective serotonin reuptake inhibitors and breast cancer mortality in women receiving tamoxifen: a population based cohort study.

Authors:  Catherine M Kelly; David N Juurlink; Tara Gomes; Minh Duong-Hua; Kathleen I Pritchard; Peter C Austin; Lawrence F Paszat
Journal:  BMJ       Date:  2010-02-08

8.  Characterization of increased drug metabolism activity in dimethyl sulfoxide (DMSO)-treated Huh7 hepatoma cells.

Authors:  S Choi; B Sainz; P Corcoran; S Uprichard; H Jeong
Journal:  Xenobiotica       Date:  2009-03       Impact factor: 1.908

9.  Characterizing metabolic inhibition using electrochemical enzyme/DNA biosensors.

Authors:  Dominic O Hull; Besnik Bajrami; Ingela Jansson; John B Schenkman; James F Rusling
Journal:  Anal Chem       Date:  2009-01-15       Impact factor: 6.986

10.  The mibefradil derivative NNC55-0396, a specific T-type calcium channel antagonist, exhibits less CYP3A4 inhibition than mibefradil.

Authors:  Peter H Bui; Arnulfo Quesada; Adrian Handforth; Oliver Hankinson
Journal:  Drug Metab Dispos       Date:  2008-04-14       Impact factor: 3.922

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