Zhu Mengting, Ling Shuying
Department of Neurology, The Fifth People's Hospital of Wujiang District, Suzhou, Jiangsu, China.
Front Neurol. 2024 Jun 19;15:1399504. doi: 10.3389/fneur.2024.1399504. eCollection 2024.
Diabetes mellitus (DM) may promote the occurrence of epilepsy through mechanisms, such as inflammation, immune imbalance, and cerebrovascular injury, caused by metabolic abnormalities. However, evidence for the effects of DM and blood glucose (BG) on the risk of epilepsy is limited. Herein, this study used the Mendelian randomization (MR) method to investigate the potential causal associations of DM and BG-related indexes with epilepsy.
In this two-sample MR study, summary statistics data of the genome-wide association studies (GWASs) on exposures, including type 1 diabetes mellitus (T1DM), T2DM, fasting glucose, and glycated hemoglobin (HbAlc), were extracted from the MRC-Integrative Epidemiology Unit (MRC-IEU). The GWAS data on study outcomes, including epilepsy, focal epilepsy, and generalized epilepsy, were obtained from the FinnGen consortium. MR-Egger regression was used to examine horizontal pleiotropism of instrumental variables (IVs), and Cochran's Q statistics was used to quantify the heterogeneity. MR analysis methods including inverse variance weighted (IVW) tests, weighted median, and MR-Egger were utilized to investigate the causal associations between DM and BG-related indexes with epilepsy. The evaluation indexes were odds ratios (ORs) and 95% confidence intervals (CIs). Reverse causal association analyses were also performed. In addition, IVW-radial and leave-one-out tests were utilized for sensitivity analyses.
IVW estimates suggested that T1DM has potential causal associations with epilepsy (OR = 1.057, 95% CI: 1.031-1.084) and generalized epilepsy (OR = 1.066, 95% CI: 1.018-1.116). No significant reverse causal associations of T1DM with epilepsy or generalized epilepsy were found (all > 0.05). In addition, sensitivity analysis results identified no outlier, indicating that the associations of T1DM with epilepsy and generalized epilepsy were relatively robust.
Patients with T1DM had a potential risk of developing epilepsy, and prompt treatment of DM and dynamic monitoring may be beneficial to prevent epilepsy in this high-risk population. However, the causal associations of DM and BG with epilepsy may warrant further verification.
糖尿病(DM)可能通过代谢异常引起的炎症、免疫失衡和脑血管损伤等机制促进癫痫的发生。然而,关于DM和血糖(BG)对癫痫风险影响的证据有限。在此,本研究采用孟德尔随机化(MR)方法探讨DM和BG相关指标与癫痫之间的潜在因果关联。
在这项两样本MR研究中,从MRC综合流行病学单位(MRC-IEU)提取了暴露因素(包括1型糖尿病(T1DM)、2型糖尿病(T2DM)、空腹血糖和糖化血红蛋白(HbAlc))的全基因组关联研究(GWAS)汇总统计数据。研究结局(包括癫痫、局灶性癫痫和全身性癫痫)的GWAS数据来自芬兰基因组联盟。采用MR-Egger回归检验工具变量(IVs)的水平多效性,并用Cochran's Q统计量量化异质性。采用包括逆方差加权(IVW)检验、加权中位数和MR-Egger在内的MR分析方法,研究DM和BG相关指标与癫痫之间的因果关联。评估指标为比值比(ORs)和95%置信区间(CIs)。还进行了反向因果关联分析。此外,采用IVW-径向和留一法检验进行敏感性分析。
IVW估计表明,T1DM与癫痫(OR = 1.057,95% CI:1.031-1.084)和全身性癫痫(OR = 1.066,95% CI:1.018-1.116)存在潜在因果关联。未发现T1DM与癫痫或全身性癫痫有显著的反向因果关联(均>0.05)。此外,敏感性分析结果未发现异常值,表明T1DM与癫痫和全身性癫痫的关联相对稳健。
T1DM患者有发生癫痫 的潜在风险,及时治疗DM并进行动态监测可能有助于预防这一高危人群发生癫痫。然而,DM和BG与癫痫之间的因果关联可能需要进一步验证。