Li Ying, Zhang Zhengyu, Jin Wen, Yuan Yuan, Cen Xingzu, Tan Juntao, Wu Xiaoxin
Department of Medical Administration, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, People's Republic of China.
Medical Records Department, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, People's Republic of China.
J Multidiscip Healthc. 2025 Aug 7;18:4893-4901. doi: 10.2147/JMDH.S543296. eCollection 2025.
Observational studies have shown a high comorbidity rate between type 2 diabetes mellitus (T2DM) and hemiplegia, but the causal relationship between the two remains to be proven. Therefore, we performed two-sample Mendelian randomization (MR) analysis to explore the causal relationship between T2DM and hemiplegia.
Genome-wide association study (GWAS) data related to hemiplegia was obtained from the FinnGen study. We also obtained GWAS data for T2DM from the IEU OpenGWAS project. Single nucleotide polymorphisms (SNPs) that were closely associated with T2DM were selected as instrumental variables (IVs) ( < 5×10, r < 0.001). The causal effects were evaluated using inverse variance weighted (IVW), MR-Egger, weighted median, simple mode, and weighted mode. Subsequently, Cochran's Q statistic was used to calculate the magnitude of heterogeneity and the MR-Egger method was used to detect level pleiotropy to ensure the reliability of the results. A leave-one-out sensitivity analysis was conducted to assess stability.
A total of 170 independent SNPs were selected as IVs to assess the genetic causality between T2DM and hemiplegia. Our findings suggest that genetic liability to T2DM has been linked with increased risk of hemiplegia (IVW: OR = 1.168, 95% confidence interval [CI], 1.025-1.331, = 0.020; weighted median: OR = 1.257, 95% CI = 1.023-1.544, = 0.030). Results of comprehensive sensitivity analysis were consistent with the main causality estimate. There was no significant heterogeneity or horizontal pleiotropy bias in this result.
This study shows a causal relationship between T2DM and hemiplegia, indicating that T2DM increases the risk of hemiplegia, which may provide guidance for additional hemiplegia screening in T2DM patients.
观察性研究表明2型糖尿病（T2DM）与偏瘫之间的共病率较高，但两者之间的因果关系仍有待证实。因此，我们进行了两样本孟德尔随机化（MR）分析，以探讨T2DM与偏瘫之间的因果关系。
从芬兰基因研究中获取与偏瘫相关的全基因组关联研究（GWAS）数据。我们还从IEU OpenGWAS项目中获取了T2DM的GWAS数据。选择与T2DM密切相关的单核苷酸多态性（SNP）作为工具变量（IVs）（<5×10，r<0.001）。使用逆方差加权（IVW）、MR-Egger、加权中位数、简单模式和加权模式评估因果效应。随后，使用 Cochr an Q统计量计算异质性大小，并使用MR-Egger方法检测水平多效性，以确保结果的可靠性。进行了留一法敏感性分析以评估稳定性。
总共选择了170个独立的SNP作为IVs，以评估T2DM与偏瘫之间的遗传因果关系。我们的研究结果表明，T2DM的遗传易感性与偏瘫风险增加有关（IVW：OR = 1.168，95%置信区间[CI]，1.025 - 1.331，P = 0.020；加权中位数：OR = 1.257，95% CI = 1.023 - 1.544，P = 0.030）。综合敏感性分析结果与主要因果估计一致。该结果无显著异质性或水平多效性偏差。
本研究表明T2DM与偏瘫之间存在因果关系，表明T2DM增加了偏瘫风险，这可能为T2DM患者的额外偏瘫筛查提供指导。
