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细胞色素P450:从基因型到表型

Cytochrome P450: genotype to phenotype.

作者信息

Waring Rosemary H

机构信息

School of Biosciences, University of Birmingham, Birmingham, UK.

出版信息

Xenobiotica. 2020 Jan;50(1):9-18. doi: 10.1080/00498254.2019.1648911. Epub 2019 Aug 14.

DOI:10.1080/00498254.2019.1648911
PMID:31411087
Abstract

The cytochromes P450 comprise a family of enzymes that are responsible for around three-quarters of all drug metabolism reactions that occur in human populations. Many isoforms of cytochrome P450 exist but most reactions are undertaken by CYP2C9, CYP2C19, CYP2D6 and CYP3A4. This brief review focusses on the first three isozymes which exhibit polymorphism of phenotype.If there is a wide variation in drug metabolising capacity within the population, this may precipitate clinical consequences and influence the drug treatment of patients. Such problems range from a lack of efficacy to unanticipated toxicity. In order to minimise untoward events and "personalise" a patient's treatment, efforts have been made to discover an individual's drug metabolism status. This requires knowledge of the subject's phenotype at the time of clinical treatment. Since such testing is difficult, time-consuming and costly, the simpler approach of genotyping has been advocated.However, the correlation between genotype and phenotype is not good, with values of up to 50% misprediction being reported. Genotype-assisted forecasts cannot therefore be used with confidence to replace actual phenotype measurements. Obfuscating factors discussed include gene splicing, single nucleotide polymorphisms, epigenetics and microRNA, transcription regulation and multiple gene copies.

摘要

细胞色素P450是一族酶,在人类群体发生的所有药物代谢反应中,约四分之三的反应由它们负责。细胞色素P450有许多同工型,但大多数反应由CYP2C9、CYP2C19、CYP2D6和CYP3A4进行。本简要综述聚焦于前三种表现出表型多态性的同工酶。如果群体内药物代谢能力存在广泛差异,这可能引发临床后果并影响患者的药物治疗。此类问题包括疗效不佳到意外毒性等。为了尽量减少不良事件并使患者治疗“个性化”,人们已努力去发现个体的药物代谢状态。这需要在临床治疗时了解受试者的表型。由于此类检测困难、耗时且成本高,因此有人提倡采用更简单的基因分型方法。然而,基因型与表型之间的相关性不佳,据报道错误预测值高达50%。因此,不能放心地使用基因型辅助预测来替代实际的表型测量。所讨论的混淆因素包括基因剪接、单核苷酸多态性、表观遗传学和微小RNA、转录调控以及多个基因拷贝。

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