In vivo Phenotyping Methods: Cytochrome P450 Probes with Emphasis on the Cocktail Approach

Differences in drug response among patients are common. Most major drugs are effective in only 25 to 60 percent of the patients, in part due to the CYP enzymes, whose activity vary up to 50-fold between individuals for some index metabolic reactions. Several factors affect CYP activity, among which...

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Bibliographic Details
Published inCurrent pharmaceutical design Vol. 23; no. 14; p. 2035
Main Authors Keller, Guillermo Alberto, Gago, María Laura Ferreirós, Diez, Roberto Alejandro, Di Girolamo, Guillermo
Format Journal Article
LanguageEnglish
Published Netherlands 01.01.2017
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Summary:Differences in drug response among patients are common. Most major drugs are effective in only 25 to 60 percent of the patients, in part due to the CYP enzymes, whose activity vary up to 50-fold between individuals for some index metabolic reactions. Several factors affect CYP activity, among which genetic polymorphisms have been studied as the major cause for long time. Age, gender, disease states, and environmental influences such as smoking, concomitant drug treatment or exposure to environmental chemicals are also important. This article reviews the available literature on multiple phenotypes assessment as an important tool to predict possible therapeutic failures or toxic reactions to conventional drug doses during patient evaluation. Probe drugs can be used in various combinations allowing for the in vivo assessment of multiple pathways of drug metabolism in a single experiment, configuring a new tool known as phenotyping "cocktails". There are several drug cocktails with different advantages and disadvantages. Most of them have sufficient clinical evidence and data validation to support their use in clinical setting as a surrogate for the risk of adverse reaction in the course of therapy, leading to a better balance between efficacy and safety. Probes characteristics and metabolic ratio measurements are important in the evaluation of phenotyping cocktails as near-future applications.
ISSN:1873-4286
DOI:10.2174/1381612823666170207100724