Fang Yuekun, Chen Shengyi, Huang Chenxiao, Deng Xinmin, Lai Rui, Lv Xiaofeng, Cheng Bin
Department of Andrology, Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine, Wenzhou, 325000, China.
Department of Urology, Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine, Wenzhou, 325000, China.
J Sex Med. 2025 Jan 9;22(2):298-306. doi: 10.1093/jsxmed/qdae178.
Previous observational studies have identified a potential association between walking and the risk of erectile dysfunction (ED); however, the causal relationship between them remains unclear.
This study aims to explore the causal relationship between walking and ED using Mendelian randomization (MR).
MR analysis was conducted using genome-wide association study (GWAS) data related to walking pace. The inverse variance weighted (IVW) method was used as the primary MR analysis method. To supplement the IVW results, two additional MR methods were used: MR-Egger and weighted median (WM). Sensitivity analyses were performed to assess heterogeneity and pleiotropy. Furthermore, multivariable MR (MVMR) analysis was employed to evaluate the causal relationship after adjusting for potential confounding factors.
The moderating effects of different walking phenotypes on ED.
According to the IVW method, genetically predicted walking pace was found to have a reverse causal relationship with the risk of ED (OR: 0.24; 95% CI: 0.12-0.51). Similar causal effects were observed using the other two MR methods, with statistical significance found in the WM method and validation through sensitivity analyses. Furthermore, MVMR analysis confirmed that the protective effect of increased walking pace on reducing the risk of ED remained significant even after adjusting for potential confounders.
Encouraging men to engage in brisk walking could be an effective strategy for reducing the incidence of ED.
This study utilized large-scale GWAS summary data on walking and ED and employed a two-sample, multivariable MR design to minimize confounding factors and reverse causation, enabling the derivation of credible causal effects. It is essential to obtain GWAS data from other populations and replicate this MR analysis to validate the results, as well as conduct further research to explore the underlying mechanisms.
The results of this study suggest that there is an inverse causal relationship between walking pace and ED risk, and brisk walking may be an independent protective factor against ED.
既往观察性研究已确定步行与勃起功能障碍(ED)风险之间存在潜在关联;然而,它们之间的因果关系仍不明确。
本研究旨在使用孟德尔随机化(MR)方法探讨步行与ED之间的因果关系。
使用与步行速度相关的全基因组关联研究(GWAS)数据进行MR分析。采用逆方差加权(IVW)方法作为主要的MR分析方法。为补充IVW结果,还使用了另外两种MR方法:MR-Egger和加权中位数(WM)。进行敏感性分析以评估异质性和多效性。此外,采用多变量MR(MVMR)分析在调整潜在混杂因素后评估因果关系。
不同步行表型对ED的调节作用。
根据IVW方法,发现基因预测的步行速度与ED风险呈反向因果关系(OR:0.24;95%CI:0.12 - 0.51)。使用其他两种MR方法也观察到类似的因果效应,WM方法具有统计学意义并通过敏感性分析得到验证。此外,MVMR分析证实,即使在调整潜在混杂因素后,步行速度增加对降低ED风险的保护作用仍然显著。
鼓励男性进行快走可能是降低ED发病率的有效策略。
本研究利用了关于步行和ED的大规模GWAS汇总数据,并采用双样本、多变量MR设计以尽量减少混杂因素和反向因果关系,从而能够得出可信的因果效应。从其他人群获取GWAS数据并重复此MR分析以验证结果,以及进行进一步研究以探索潜在机制至关重要。
本研究结果表明步行速度与ED风险之间存在反向因果关系,快走可能是预防ED的独立保护因素。