Choi Siu-Wai, Lam David M H, Wong Stanley S C, Shiu Haydn H C, Wang Amy X M, Cheung Chi-Wai
*Department of Anaesthesiology, Queen Mary Hospital †Department of Anaesthesiology, Laboratory and Clinical Research Institute for Pain, The University of Hong Kong, Hong Kong, China.
Clin J Pain. 2017 Dec;33(12):1117-1130. doi: 10.1097/AJP.0000000000000498.
There is great heterogeneity in the way individuals respond to medications. Inherited differences, such as single nucleotide polymorphisms (SNP), can influence the efficacy and toxicity of drugs. This meta-analysis aims to collate data from studies investigating the effect of SNPs on postoperative and/or intraoperative opioid requirements.
A meta-analysis was conducted following PRISMA guidelines. Eligibility criteria for studies included were reporting amount of postoperative and/or intraoperative opioid used as the primary outcome and genotyping patients for SNPs in one of the following genes; OPRM1, CYP2D6, CYP3A4, CYP3A5, COMT, UGT2B7, or ABCB1. A comprehensive systematic search for articles using keywords "opioid-sensitivity," "polymorphisms," "post-operative opioid," "post-surgical opioid," "post-operative pain," and "post-surgical pain" was performed.
Fifty-one studies were included. Individuals homozygous for AA at the OPRMI (rs1799971) polymorphisms required less postsurgical opioid compared with those homozygous for GG (Hedges g, -0.270; 95% confidence interval, -0.433 to -0.108; P=0.001). Polymorphisms in CYP2D6, CYP3A4, CYP3A5, COMT, UGT2B7, and ABCB1 did not affect opioid requirements.
Investigation of single changes in 1 gene can only yield limited information regarding genetic effects on opioid requirements. Rapid development of whole genome sequencing enables information on all genetic modifications that may affect analgesic response to be collected. The information collected must include data on the individual's metabolic enzymes, as well as information on drug receptors and enzymes responsible for drug degradation, so that a personal profile can be built up which will predict individual response to drugs, and guide clinicians on the type and dosage of drug to use.
个体对药物的反应方式存在很大的异质性。遗传差异,如单核苷酸多态性(SNP),可影响药物的疗效和毒性。本荟萃分析旨在整理研究SNP对术后和/或术中阿片类药物需求量影响的数据。
按照PRISMA指南进行荟萃分析。纳入研究的资格标准包括报告术后和/或术中使用阿片类药物的量作为主要结局,并对患者进行以下基因之一的SNP基因分型:OPRM1、CYP2D6、CYP3A4、CYP3A5、COMT、UGT2B7或ABCB1。使用关键词“阿片类药物敏感性”“多态性”“术后阿片类药物”“手术后阿片类药物”“术后疼痛”和“手术后疼痛”对文章进行了全面的系统检索。
纳入51项研究。与GG纯合子相比,OPRMI(rs1799971)多态性的AA纯合子个体术后所需阿片类药物较少(Hedges g,-0.270;95%置信区间,-0.433至-0.108;P=0.001)。CYP2D6、CYP3A4、CYP3A5、COMT、UGT2B7和ABCB1的多态性不影响阿片类药物需求量。
对单个基因的单变化进行研究只能获得关于基因对阿片类药物需求量影响的有限信息。全基因组测序的快速发展使得能够收集所有可能影响镇痛反应的基因修饰信息。收集的信息必须包括个体代谢酶的数据,以及负责药物降解的药物受体和酶的信息,以便建立个人档案,预测个体对药物的反应,并指导临床医生选择药物类型和剂量。