Zi-He Peng, Ming-Rui Li, Min-Xin He, Jing Liu, Jia-Hao Dou, Ya-Wen Wang, Yao Dong, Chong Yan, Zi-Hao Li, Tie Chong, Zhao-Lun Li
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引用次数: 0
摘要
背景:早期关于非甾体抗炎药(NSAIDs)使用与良性前列腺增生(BPH)风险之间关系的观察性研究结果不一致。方法:为了评估这些关联,我们进行了单变量和多变量孟德尔随机化(MR)研究。从英国生物银行(UKB)进行的综合荟萃分析中选择与显著性水平(p -6)暴露相关的工具变量(IVs)。BPH的汇总数据来自FinnGen联盟,其中包括30,066例病例和119,297例对照。进行敏感性分析以评估异质性和多效性。结果:我们通过单变量磁共振(UVMR)发现,基因预测使用非甾体抗炎药会增加BPH的风险(对数非甾体抗炎药使用单位增加的比值比[OR]: 1.164, 95%可信区间[CI]: 1.041-1.302, p = 0.008)。在多变量MR (MVMR)中控制炎症后,这种联系仍然存在(OR: 1.165, 95% CI: 1.049-1.293, p = 0.004)。在UVMR和MVMR分析中没有潜在的异质性和多效性的迹象。结论:MR估计的结果表明,遗传预测的非甾体抗炎药的使用可能会增加前列腺增生的风险。这一结果促使深入探索潜在的潜在机制势在必行。
Causal association between non-steroidal anti-inflammatory drugs use and the risk of benign prostatic hyperplasia: a univariable and multivariable Mendelian randomization study.
Background: The results of earlier observational research on the relationships between the usage of non-steroidal anti-inflammatory medicines (NSAIDs) and the risk of benign prostatic hyperplasia (BPH) have been inconsistent.
Methods: To assess these associations, we performed both univariable and multivariable Mendelian randomization (MR) studies. Instrumental variables (IVs) associated with exposures at the significance level (p < 5 × 10-6) were selected from a comprehensive meta-analysis conducted by the United Kingdom Biobank (UKB). Summary data for BPH were obtained from the FinnGen consortium, which comprised 30,066 cases and 119,297 controls. Sensitivity analyses were performed to evaluate heterogeneity and pleiotropy.
Results: We found evidence by univariable MR (UVMR) that genetically predicted NSAIDs use increased the risk of BPH (odds ratio [OR] per unit increase in log odds NSAIDs use: 1.164, 95% confidence interval [CI]: 1.041-1.302, p = 0.008). After controlling for inflammation in multivariable MR (MVMR), the link persisted (OR: 1.165, 95% CI: 1.049-1.293, p = 0.004). There were no indications of potential heterogeneity and pleiotropy in UVMR and MVMR analyses.
Conclusion: The results of the MR estimates suggest that genetically predicted NSAIDs use may elevate the risk of BPH. This outcome prompts the imperative for deeper exploration into potential underlying mechanisms.
期刊介绍:
BMC Medical Genomics is an open access journal publishing original peer-reviewed research articles in all aspects of functional genomics, genome structure, genome-scale population genetics, epigenomics, proteomics, systems analysis, and pharmacogenomics in relation to human health and disease.