Peng Shaoyi, Li Kaiyuan, Han Lingyu, Liu Peng
Department of Cardiology, Jiande First People's Hospital, Hangzhou, China.
Graduate School of Dalian Medical University, Dalian Medical University, Dalian, China.
Medicine (Baltimore). 2025 Jul 18;104(29):e43247. doi: 10.1097/MD.0000000000043247.
The potential causal relationship between genetic susceptibility to multiple sclerosis (MS) and the risk of kidney diseases remains unclear. Understanding this association may provide new insights into comorbidity mechanisms and improve clinical risk assessment. A two-sample Mendelian randomization (MR) analysis was conducted using single nucleotide polymorphisms significantly associated with MS as instrumental variables. Genetic data were derived from genome-wide association studies comprising 115,803 individuals for MS and up to 218,792 individuals for renal diseases. Outcomes included nephrotic syndrome, glomerulonephritis, tubulointerstitial nephritis, and diabetic nephropathy. Causal estimates were calculated using inverse variance weighted, MR-Egger, weighted median, and simple mode methods. Pleiotropy and heterogeneity were assessed using MR-Egger intercept and Mendelian Randomization Pleiotropy RESidual Sum and Outlier tests. Inverse variance weighted analysis indicated a positive association between genetic liability to MS and nephrotic syndrome (odds ratio = 1.14, 95% confidence interval: 1.03-1.26; P = .009), and a negative association with diabetic nephropathy (odds ratio = 0.83, 95% confidence interval: 0.73-0.95; P = .006). No significant associations were found with glomerulonephritis or tubulointerstitial nephritis. Sensitivity analyses revealed no evidence of directional pleiotropy or influential outliers. Genetic predisposition to MS may increase the risk of nephrotic syndrome while reducing the risk of diabetic nephropathy. These findings suggest shared immunogenetic mechanisms and highlight the importance of renal surveillance in MS management.
多发性硬化症(MS)的遗传易感性与肾脏疾病风险之间的潜在因果关系仍不明确。了解这种关联可能为共病机制提供新的见解,并改善临床风险评估。使用与MS显著相关的单核苷酸多态性作为工具变量进行了两样本孟德尔随机化(MR)分析。遗传数据来自全基因组关联研究,其中包括115,803名MS患者和多达218,792名肾脏疾病患者。研究结果包括肾病综合征、肾小球肾炎、肾小管间质性肾炎和糖尿病肾病。使用逆方差加权、MR-Egger、加权中位数和简单模式方法计算因果估计值。使用MR-Egger截距和孟德尔随机化多效性残差和离群值检验评估多效性和异质性。逆方差加权分析表明,MS的遗传易感性与肾病综合征呈正相关(优势比 = 1.14,95%置信区间:[1.03, 1.26];P = .009),与糖尿病肾病呈负相关(优势比 = 0.83,95%置信区间:[0.73, 0.95];P = .006)。未发现与肾小球肾炎或肾小管间质性肾炎有显著关联。敏感性分析未发现定向多效性或有影响的离群值的证据。MS的遗传易感性可能会增加肾病综合征的风险,同时降低糖尿病肾病的风险。这些发现提示了共同的免疫遗传机制,并强调了肾脏监测在MS管理中的重要性。