Evaluation of drug-metabolizing enzyme hydroxylation phenotypes in Hispanic populations: the CEIBA cocktail.

Fernando de Andrés, Martha Sosa-Macías, Blanca P Lazalde-Ramos, María Eugenia G Naranjo, Eduardo Tarazona-Santos, Adrián Llerena
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引用次数: 16

Abstract

Interindividual differences in response to drug treatments are mainly caused by differences in drug metabolism, in which cytochrome P450 (CYP450) enzymes are involved. Genetic polymorphisms of these enzymes have a key role in this variability. However, environmental factors, endogenous metabolism and disease states also have a great influence on the actual drug metabolism rate (metabolic phenotype). Consequently, the genotype does not always correlate with the actual drug hydroxylation phenotype. In this sense, in vivo phenotyping strategies represent an alternative to evaluate the interindividual variability in drug metabolism. Therefore, the 'cocktail' approach is considered as an advantageous strategy to obtain actual and reliable information on several CYP activities in just one experiment. As reviewed, phenotyping studies on Latin-American populations, which comprise about 400 million people, are scarce, and only selective phenotyping methods were applied. Therefore, a novel cocktail approach is here proposed as a phenotyping tool to evaluate the relationship between genotype and phenotype of major CYP enzymes in Hispanic populations. This determination will allow adaptation of drug therapies to these populations and consequently to benefit from the application of pharmacogenetics in the reduction of drug adverse effects and in the improvement of therapeutic responses.

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西班牙裔人群中药物代谢酶羟基化表型的评估:CEIBA鸡尾酒。
个体间对药物治疗反应的差异主要是由药物代谢的差异引起的,其中涉及细胞色素P450 (CYP450)酶。这些酶的遗传多态性在这种变异中起着关键作用。然而,环境因素、内源性代谢和疾病状态对实际药物代谢率(代谢表型)也有很大影响。因此,基因型并不总是与实际的药物羟基化表型相关。从这个意义上说,体内表型策略代表了评估药物代谢个体间变异性的另一种选择。因此,“鸡尾酒”方法被认为是一种有利的策略,可以在一次实验中获得关于几个CYP活动的实际和可靠的信息。如前所述,对约4亿人口的拉丁美洲人群进行的表型研究很少,而且只采用了选择性表型方法。因此,本文提出了一种新的鸡尾酒方法作为表型分型工具来评估西班牙裔人群中主要CYP酶的基因型和表型之间的关系。这一决定将使药物治疗适应这些人群,从而受益于药物遗传学在减少药物不良反应和改善治疗反应中的应用。
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