Li Chunmin, Wen Qian, Zhang Yanxia, Wu Jun
Department of Nephrology, Tongren Hospital of Wuhan University (Wuhan Third Hospital), Wuhan University, Wuhan, P.R. China.
Ren Fail. 2025 Dec;47(1):2486620. doi: 10.1080/0886022X.2025.2486620. Epub 2025 Apr 9.
IgA nephropathy (IgAN) and membranous nephropathy (MN) have intricate etiologies that are poorly understood. This study aimed to investigate the impact of genetically predicted environmental factors on IgAN and MN.
We used bidirectional two-step Mendelian randomization (MR) analysis utilizing large-scale genome-wide association study (GWAS) data to investigate the relationships between 68 environmental exposures and IgAN and MN. The main method is inverse variance weighted (IVW). Sensitivity analyses were conducted to validate the causal estimates. Furthermore, the two-step MR was used to explore possible mediating effects.
A total of 20 significant causal associations were identified. Genetically predicted educational attainment (EA), average household income, gluten-free diet, cheese intake, fresh fruit intake, cognitive performance, and intelligence were associated with a reduced risk of IgAN ( < 0.05); whereas frequency of alcohol consumption, insomnia, triglycerides, transferrin saturation, percentage body fat, body mass index (BMI), waist circumference, and blood pressure were associated with the risk of IgAN ( < 0.05). Genetically predicted EA and moderate to vigorous physical activity were associated with a reduced risk of MN ( < 0.05); on the other hand, beef intake, waist-to-hip ratio, and nitrogen oxides were associated with the risk of MN ( < 0.05). In addition, we observed that insomnia, BMI, and waist circumference partially mediated the causal link between EA and IgAN, with mediation proportions of 12.52%, 11.06%, and 9.93%, respectively.
This study provides novel evidence of causal relationships between 20 genetically predicted environmental factors and the risk of IgAN and MN. These findings may inform targeted prevention strategies and contribute to improved disease risk assessment.
IgA 肾病(IgAN)和膜性肾病(MN)病因复杂,目前了解甚少。本研究旨在调查基因预测的环境因素对 IgAN 和 MN 的影响。
我们利用大规模全基因组关联研究(GWAS)数据进行双向两步孟德尔随机化(MR)分析,以研究 68 种环境暴露与 IgAN 和 MN 之间的关系。主要方法是逆方差加权(IVW)。进行敏感性分析以验证因果估计。此外,使用两步 MR 探索可能的中介效应。
共确定了 20 个显著的因果关联。基因预测的受教育程度(EA)、平均家庭收入、无麸质饮食、奶酪摄入量、新鲜水果摄入量、认知能力和智力与 IgAN 风险降低相关(<0.05);而饮酒频率、失眠、甘油三酯、转铁蛋白饱和度、体脂百分比、体重指数(BMI)、腰围和血压与 IgAN 风险相关(<0.05)。基因预测的 EA 和中度至剧烈体育活动与 MN 风险降低相关(<0.05);另一方面,牛肉摄入量、腰臀比和氮氧化物与 MN 风险相关(<0.05)。此外,我们观察到失眠、BMI 和腰围部分介导了 EA 与 IgAN 之间的因果联系,中介比例分别为 12.52%、11.06%和 9.93%。
本研究提供了 20 个基因预测的环境因素与 IgAN 和 MN 风险之间因果关系的新证据。这些发现可能为有针对性的预防策略提供信息,并有助于改善疾病风险评估。