Yee Jeong, Kim Hamin, Heo Yunhee, Yoon Ha-Young, Song Gonjin, Gwak Hye-Sun
College of Pharmacy and Graduate School of Pharmaceutical Sciences, Ewha Womans University, Seoul 03760, Korea.
J Pers Med. 2021 Jul 19;11(7):677. doi: 10.3390/jpm11070677.
Cytochrome P450 (CYP) is involved in the metabolism of statins; CYP3A5 is the main enzyme responsible for lipophilic statin metabolism. However, the evidence of the association between polymorphism and the risk of statin-induced adverse events remains unclear. Therefore, this study aimed to perform a systematic review and meta-analysis to investigate the relationship between the polymorphism and the risk of statin-induced adverse events. The PubMed, Web of Science, and EMBASE databases were searched for qualified studies published until August 2020. Observational studies that included the association between statin-induced adverse events and the polymorphism were reviewed. The odds ratios (ORs) and 95% confidence intervals (CIs) were evaluated to assess the strength of the relationship. The Mantel-Haenszel method was used to provide the pooled ORs. Heterogeneity was estimated with I statistics and publication bias was determined by Begg's and Egger's test of the funnel plot. Data analysis was performed using Review Manager (version 5.4) and R Studio (version 3.6). In total, data from 8 studies involving 1614 patients were included in this meta-analysis. The polymorphism was found to be associated with the risk of statin-induced adverse events (*3/*3 vs. *1/*1 + *1/*3: OR = 1.40, 95% CI = 1.08-1.82). For myopathy, the pooled OR was 1.30 (95% CI: 0.96-1.75). The subgroup analysis of statin-induced myopathy revealed a trend, which did not achieve statistical significance. This meta-analysis demonstrated that the polymorphism affected statin-induced adverse event risk. Therefore, genotyping may be useful to predict statin toxicity.
细胞色素P450(CYP)参与他汀类药物的代谢;CYP3A5是负责亲脂性他汀类药物代谢的主要酶。然而,基因多态性与他汀类药物所致不良事件风险之间关联的证据仍不明确。因此,本研究旨在进行一项系统评价和荟萃分析,以探究基因多态性与他汀类药物所致不良事件风险之间的关系。检索了PubMed、Web of Science和EMBASE数据库,查找截至2020年8月发表的合格研究。纳入了包括他汀类药物所致不良事件与该基因多态性之间关联的观察性研究。评估比值比(OR)和95%置信区间(CI)以评估关系强度。采用Mantel-Haenszel方法提供合并后的OR。用I统计量估计异质性,并通过漏斗图的Begg检验和Egger检验确定发表偏倚。使用Review Manager(5.4版)和R Studio(3.6版)进行数据分析。本荟萃分析共纳入了8项研究、1614例患者的数据。发现该基因多态性与他汀类药物所致不良事件风险相关(*3/*3 vs. *1/*1 + *1/*3:OR = 1.40,95%CI = 1.08 - 1.82)。对于肌病,合并后的OR为1.30(95%CI:0.96 - 1.75)。他汀类药物所致肌病的亚组分析显示出一种趋势,但未达到统计学显著性。本荟萃分析表明,该基因多态性影响他汀类药物所致不良事件风险。因此,基因分型可能有助于预测他汀类药物的毒性。