Literature DB >> 9780128

Genetic determinants of drug responsiveness and drug interactions.

Y Caraco1.   

Abstract

Six cytochrome P450 enzymes mediate the oxidative metabolism of most drugs in common use: CYP1A2, CYP2C9, CYP2C19, CYP2D6, CYP2E1, and CYP3A4. These enzymes have selective substrate specificity, and their activity is characterized by marked interindividual variation. Some of these systems (CYP2C19, CYP2D6) are polymorphically distributed; thus, a subset of the population may be genetically deficient in enzyme activity. Phenotyping procedures designed to identify subjects with impaired metabolism who may be at increased risk for drug toxicity have been developed and validated. This has been supplemented in recent years by the availability of genetic analysis and the identification of specific alleles that are associated with altered (i.e., reduced, deficient, or increased) enzyme activity. The potential of genotyping to predict pharmacodynamics holds great promise for the future because it does not involve the administration of exogenous compound and is not confounded by drug therapy. Drug interactions caused by the inhibition or induction of oxidative drug metabolism may be of great clinical importance because they may result in drug toxicity or therapeutic failure. Further understanding of cytochrome P450 complexity may allow, through a combined in vitro-in vivo approach, the reliable prediction and possible prevention of deleterious drug interactions.

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Year:  1998        PMID: 9780128     DOI: 10.1097/00007691-199810000-00012

Source DB:  PubMed          Journal:  Ther Drug Monit        ISSN: 0163-4356            Impact factor:   3.681


  2 in total

1.  Determination of -3858G-->A and -164C-->A genetic polymorphisms of CYP1A2 in blood and saliva by rapid allelic discrimination: large difference in the prevalence of the -3858G-->A mutation between Caucasians and Asians.

Authors:  Liliane Todesco; Michael Török; Stephan Krähenbühl; Markus Wenk
Journal:  Eur J Clin Pharmacol       Date:  2003-07-08       Impact factor: 2.953

2.  The future of genetic testing for drug response.

Authors:  Deborah J Morris-Rosendahl; Bernd L Fiebich
Journal:  Dialogues Clin Neurosci       Date:  2004-03       Impact factor: 5.986

  2 in total

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