Suppr超能文献

CYP2D6活性评分十年经验:关于未来研究以改善精准治疗临床预测的展望

Ten Years' Experience with the CYP2D6 Activity Score: A Perspective on Future Investigations to Improve Clinical Predictions for Precision Therapeutics.

作者信息

Gaedigk Andrea, Dinh Jean C, Jeong Hyunyoung, Prasad Bhagwat, Leeder J Steven

机构信息

Division of Clinical Pharmacology, Toxicology & Therapeutic Innovation, Children's Mercy Kansas City, 2401 Gillham Rd, Kanas City, MO 64108, USA.

School of Medicine, University of Missouri-Kansas City, Kansas City, MO 64108, USA.

出版信息

J Pers Med. 2018 Apr 17;8(2):15. doi: 10.3390/jpm8020015.

Abstract

The seminal paper on the CYP2D6 Activity Score (AS) was first published ten years ago and, since its introduction in 2008, it has been widely accepted in the field of pharmacogenetics. This scoring system facilitates the translation of highly complex diplotype data into a patient’s phenotype to guide drug therapy and is at the core of all gene/drug pair guidelines issued by the Clinical Pharmacogenetics Implementation Consortium (CPIC). The AS, however, only explains a portion of the variability observed among individuals and ethnicities. In this review, we provide an overview of sources in addition to genotype that contribute to the variability in CYP2D6-mediated drug metabolism and discuss other factors, genetic and non-genetic, that likely contribute to the observed variability in CYP2D6 enzymatic activity.

摘要

关于CYP2D6活性评分(AS)的开创性论文于十年前首次发表,自2008年引入以来,它在药物遗传学领域已被广泛接受。这种评分系统有助于将高度复杂的双倍型数据转化为患者的表型,以指导药物治疗,并且是临床药物遗传学实施联盟(CPIC)发布的所有基因/药物对指南的核心。然而,AS仅解释了个体和种族间观察到的部分变异性。在本综述中,我们除了概述导致CYP2D6介导的药物代谢变异性的基因型来源外,还讨论了其他可能导致观察到的CYP2D6酶活性变异性的遗传和非遗传因素。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验