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[影响药物反应的基因多态性简易快速检测方法的研发及其临床应用]

[Development of simplified and rapid detection assay for genetic polymorphisms influencing drug response and its clinical applications].

作者信息

Hiratsuka Masahiro

机构信息

Department of Pharmaceutical Sciences, Tohoku University Hospital, 1-1 Seiryo-machi, Aoba-ku, Sendai 980-8574, Japan.

出版信息

Yakugaku Zasshi. 2002 Jul;122(7):451-63. doi: 10.1248/yakushi.122.451.

Abstract

Clinically important genetic polymorphisms influencing drug metabolism and drug response have typically been discovered on the basis of phenotypic differences among individuals from different populations. Routine genotyping before drug therapy may enable the identification of responders, nonresponders, or patients at increased risk of toxicity. Automated, high-throughput detecting methods for single-nucleotide polymorphisms (SNPs) are highly desirable in many clinical laboratories. The aim of this study is to develop a high-throughput genotyping method for detecting SNPs influencing drug response in the Japanese population. We have developed three real-time PCR assays for detecting SNPs in the human drug-metabolizing enzymes and drug targets. The assay for simultaneously detecting CYP2A6, CYP2B6, CYP2C9, CYP2C18, CYP2C19, CYP2D6, CYP2E1, CYP3A5, NAT2, TPMT, DPYD, UGT1A1, ALDH2, ADH2, MDR1, CETP, DCP-1, ADRB2, HTR2A, INPP1, SDF1, and mitochondrial DNA polymorphisms takes less than 1.5 h. With the clinical application of NAT2 genotyping, we found statistically significant difference between the incidence of adverse drug reactions (ADRs) and the NAT2 genotype. The incidence of the ADRs was significantly higher in the slow type than the in other two types, as 5 of the 6 patients were of the slowtype, and the other was the intermediatetype, while no patients of the rapidtype has developed any ADRs.

摘要

影响药物代谢和药物反应的具有临床重要性的基因多态性通常是基于不同人群个体间的表型差异而发现的。药物治疗前的常规基因分型可能有助于识别反应者、无反应者或毒性风险增加的患者。许多临床实验室非常需要用于单核苷酸多态性(SNP)的自动化高通量检测方法。本研究的目的是开发一种用于检测影响日本人群药物反应的SNP的高通量基因分型方法。我们已经开发了三种实时PCR检测方法来检测人类药物代谢酶和药物靶点中的SNP。同时检测CYP2A6、CYP2B6、CYP2C9、CYP2C18、CYP2C19、CYP2D6、CYP2E1、CYP3A5、NAT2、TPMT、DPYD、UGT1A1、ALDH2、ADH2、MDR1、CETP、DCP-1、ADRB2、HTR2A、INPP1、SDF1和线粒体DNA多态性的检测耗时不到1.5小时。通过NAT2基因分型的临床应用,我们发现药物不良反应(ADR)的发生率与NAT2基因型之间存在统计学上的显著差异。慢代谢型的ADR发生率显著高于其他两种类型,因为6例患者中有5例为慢代谢型,另1例为中间代谢型,而快代谢型患者均未发生任何ADR。

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