Abstract
Intra- and/or inter-individual variability in drug response is mainly a result of either subtherapeutic or supratherapeutic plasma levels of the active drugs and their metabolites, with this variability mainly being influenced by differences in the rate of drug metabolism. Indeed, drug metabolism is largely determined by genetic polymorphism in the CYP enzymes, which are responsible for approximately 85% of the drug metabolism process. However, this genetic heterogeneity can accurately predict actual drug metabolizing capacity (oxidation phenotype) for some individuals: poor metabolizers (PMs), who cannot produce the drug metabolizing enzymes, and 20% of ultra-rapid metabolizers. According to EMA recommendations, phenotyping procedures for drug interaction studies and clinical research are therefore required to obtain actual data on the main CYP enzymes. With this purpose, cocktail phenotyping approaches give information on the activity of different CYPs in just one experiment.
In this review, the issues related to the phenotyping of the main CYP enzymes are reviewed, and the current in vivo phenotyping cocktails are analysed: the sampling procedures, probe drugs utilized, analytical techniques and main applications are also discussed.
Based on this analysis, a fully validated cocktail approach to measure the metabolic activity of the main CYP enzymes and drug transporters is still required. This novel approach should fulfil certain conditions: a faster and simpler analytical methodology to obtain information on several CYPs in one experiment, minimal sample amounts, and minimal doses of optimal probe drugs.
Keywords: Drug metabolism, cytochrome P450, phenotype, selective, cocktail, probe drug, in vivo.
Current Pharmaceutical Biotechnology
Title:Simultaneous Determination of Cytochrome P450 Oxidation Capacity in Humans: A Review on the Phenotyping Cocktail Approach
Volume: 17 Issue: 13
Author(s): Fernando de Andrés and Adrián LLerena
Affiliation:
Keywords: Drug metabolism, cytochrome P450, phenotype, selective, cocktail, probe drug, in vivo.
Abstract: Intra- and/or inter-individual variability in drug response is mainly a result of either subtherapeutic or supratherapeutic plasma levels of the active drugs and their metabolites, with this variability mainly being influenced by differences in the rate of drug metabolism. Indeed, drug metabolism is largely determined by genetic polymorphism in the CYP enzymes, which are responsible for approximately 85% of the drug metabolism process. However, this genetic heterogeneity can accurately predict actual drug metabolizing capacity (oxidation phenotype) for some individuals: poor metabolizers (PMs), who cannot produce the drug metabolizing enzymes, and 20% of ultra-rapid metabolizers. According to EMA recommendations, phenotyping procedures for drug interaction studies and clinical research are therefore required to obtain actual data on the main CYP enzymes. With this purpose, cocktail phenotyping approaches give information on the activity of different CYPs in just one experiment.
In this review, the issues related to the phenotyping of the main CYP enzymes are reviewed, and the current in vivo phenotyping cocktails are analysed: the sampling procedures, probe drugs utilized, analytical techniques and main applications are also discussed.
Based on this analysis, a fully validated cocktail approach to measure the metabolic activity of the main CYP enzymes and drug transporters is still required. This novel approach should fulfil certain conditions: a faster and simpler analytical methodology to obtain information on several CYPs in one experiment, minimal sample amounts, and minimal doses of optimal probe drugs.
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Cite this article as:
Andrés de Fernando and LLerena Adrián, Simultaneous Determination of Cytochrome P450 Oxidation Capacity in Humans: A Review on the Phenotyping Cocktail Approach, Current Pharmaceutical Biotechnology 2016; 17 (13) . https://dx.doi.org/10.2174/1389201017666160926150117
DOI https://dx.doi.org/10.2174/1389201017666160926150117 |
Print ISSN 1389-2010 |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-4316 |

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