Chen Wenjie, Sun Zhi, Xiong Xinhai, Tan Haitao, Hu Junhao, Liu Chenrui, Chen Cheng
926 Hospital of the People's Liberation Army (Kunming University of Science and Technology Affiliated Hospital), Kaiyuan, China.
921 Hospital of the People's Liberation Army (The Second Affiliated Hospital of Hunan Normal University), Changsha, China.
Front Genet. 2024 Sep 4;15:1390387. doi: 10.3389/fgene.2024.1390387. eCollection 2024.
Statins may have a protective effect against osteoarthritis (including knee osteoarthritis and hip osteoarthritis); however, the link between statins and osteoarthritis risk is incompletely established. The aim of this study was to explore the relationship between statins and osteoarthritis risk through Mendelian randomization analysis using pooled information from a large population-wide genome-wide association study (GWAS).
Statin-related single-nucleotide polymorphisms (SNPs) were obtained from FinnGen's latest 9th edition database, and data on osteoarthritis, knee osteoarthritis, and hip osteoarthritis were acquired from the IEU OpenGWAS, the UK Biobank, and Arthritis Research UK Osteoarthritis Genetics (ArcOGEN) database, respectively. The inverse-variance weighting method is an important analysis method to estimate the causal effect. Weighted median method, simple median method, weighted median estimator method, and MR-Egger regression were employed to supplement the explanation. Odds ratio and 95%CI were used to evaluate the causal relationship among statins and the osteoarthritis risk, osteoarthritis in the knee, and osteoarthritis in the hip. Second, sensitivity analysis was carried out to validate the reliability of the results. Cochran's Q test was employed to test heterogeneity, MR-Egger intercept was employed to test whether horizontal pleiotropy existed, and single-nucleotide polymorphisms with potential influence were determined by the one-method analysis.
(1) The results of the inverse variance weighting method showed Gene prediction indicated that statins were associated with osteoarthritis (OR = 0.998, 95% CI: 0.996-0.999, P = 0.01) and knee osteoarthritis (OR = 0.964, 95% CI: knee (0.940-0.989, P = 0.005) and hip osteoarthritis risk were associated (OR = 0.928, 95% CI: 0.901-0.955, P = 4.28 × 10). (2) MR-Egger intercept analysis did not detect potential horizontal pleiotropy (osteoarthritis: P = 0.658; knee osteoarthritis: P = 0.600; and hip osteoarthritis: P = 0.141). (3) The findings provide evidence that statins reduce osteoarthritis risk, osteoarthritis in the knee, and osteoarthritis in the hip, as described in observational studies, and the specific mechanisms by which statins treat osteoarthritis require further investigation.
The results of this study, at the genetic level, reveal a negative causal relationship between statins and osteoarthritis, and this causal relationship is also present in knee and hip osteoarthritis. This study provides evidence against the potential of statins in the treatment of osteoarthritis, prompting the clinical treatment of osteoarthritis to consider improving the start and compliance of statins in the future.
他汀类药物可能对骨关节炎(包括膝关节骨关节炎和髋关节骨关节炎)具有保护作用;然而,他汀类药物与骨关节炎风险之间的联系尚未完全确立。本研究的目的是通过孟德尔随机化分析,利用来自大规模全人群全基因组关联研究(GWAS)的汇总信息,探讨他汀类药物与骨关节炎风险之间的关系。
他汀类药物相关的单核苷酸多态性(SNP)从芬兰基因库(FinnGen)的最新第9版数据库中获取,骨关节炎、膝关节骨关节炎和髋关节骨关节炎的数据分别从国际暴露组学联盟开放GWAS数据库(IEU OpenGWAS)、英国生物银行(UK Biobank)和英国关节炎研究骨关节炎遗传学(ArcOGEN)数据库中获取。逆方差加权法是估计因果效应的重要分析方法。采用加权中位数法、简单中位数法、加权中位数估计法和MR-Egger回归进行补充说明。比值比(OR)和95%置信区间(CI)用于评估他汀类药物与骨关节炎风险、膝关节骨关节炎和髋关节骨关节炎之间的因果关系。其次,进行敏感性分析以验证结果的可靠性。采用Cochran's Q检验来检验异质性,采用MR-Egger截距检验是否存在水平多效性,并通过单方法分析确定具有潜在影响的单核苷酸多态性。
(1)逆方差加权法结果显示基因预测表明他汀类药物与骨关节炎相关(OR = 0.998,95%CI:0.996 - 0.999,P = 0.01),与膝关节骨关节炎相关(OR = 0.964,95%CI:0.940 - 0.989,P = 0.005),与髋关节骨关节炎风险相关(OR = 0.928,95%CI:0.901 - 0.955,P = 4.28×10⁻⁴)。(2)MR-Egger截距分析未检测到潜在的水平多效性(骨关节炎:P = 0.658;膝关节骨关节炎:P = 0.600;髋关节骨关节炎:P = 0.141)。(3)研究结果提供了证据,表明他汀类药物可降低骨关节炎风险、膝关节骨关节炎和髋关节骨关节炎风险,如观察性研究中所述,他汀类药物治疗骨关节炎的具体机制需要进一步研究。
本研究结果在基因水平上揭示了他汀类药物与骨关节炎之间的负因果关系,这种因果关系在膝关节和髋关节骨关节炎中也存在。本研究为他汀类药物治疗骨关节炎的潜力提供了反面证据,促使未来骨关节炎的临床治疗考虑提高他汀类药物的起始使用和依从性。