PDF(Pubmed)
Abstract：
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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 P > 0.05). In addition, sensitivity analysis results identified no outlier, indicating that the associations of T1DM with epilepsy and generalized epilepsy were relatively robust.
UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: 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 P > 0.05). In addition, sensitivity analysis results identified no outlier, indicating that the associations of T1DM with epilepsy and generalized epilepsy were relatively robust.
UNASSIGNED: 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.
摘要：
■糖尿病（DM）可能通过机制促进癫痫的发生，比如炎症，免疫失衡,和脑血管损伤，代谢异常引起的.然而,糖尿病和血糖(BG)对癫痫风险影响的证据有限.在这里，本研究采用孟德尔随机化(MR)方法探讨DM和BG相关指标与癫痫的潜在因果关系.
■在这项双样本MR研究中，关于暴露的全基因组关联研究(GWAS)的汇总统计数据，包括1型糖尿病（T1DM），T2DM,空腹血糖,和糖化血红蛋白（HbAlc），是从MRC综合流行病学单元（MRC-IEU）中提取的。关于研究结果的GWAS数据，包括癫痫,局灶性癫痫,和全身性癫痫，是从FinnGen财团获得的。MR-Egger回归用于检查工具变量(IVs)的水平多向性，Cochran的Q统计量被用来量化异质性。MR分析方法包括逆方差加权(IVW)检验，加权中位数，和MR-Egger用于研究DM和BG相关指标与癫痫之间的因果关系。评价指标为比值比(ORs)和95%置信区间(CIs)。还进行了反向因果关联分析。此外,IVW-径向和留一检验用于敏感性分析。
■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）有潜在的因果关系。未发现T1DM与癫痫或全身性癫痫的反向因果关联(均P>0.05)。此外,敏感性分析结果没有发现异常值，这表明T1DM与癫痫和全身性癫痫的相关性相对稳健.
■T1DM患者有发生癫痫的潜在风险，及时治疗和动态监测可能有利于预防此高危人群的癫痫。然而,DM和BG与癫痫的因果关系可能需要进一步验证.
■在这项双样本MR研究中，关于暴露的全基因组关联研究(GWAS)的汇总统计数据，包括1型糖尿病（T1DM），T2DM,空腹血糖,和糖化血红蛋白（HbAlc），是从MRC综合流行病学单元（MRC-IEU）中提取的。关于研究结果的GWAS数据，包括癫痫,局灶性癫痫,和全身性癫痫，是从FinnGen财团获得的。MR-Egger回归用于检查工具变量(IVs)的水平多向性，Cochran的Q统计量被用来量化异质性。MR分析方法包括逆方差加权(IVW)检验，加权中位数，和MR-Egger用于研究DM和BG相关指标与癫痫之间的因果关系。评价指标为比值比(ORs)和95%置信区间(CIs)。还进行了反向因果关联分析。此外,IVW-径向和留一检验用于敏感性分析。
■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）有潜在的因果关系。未发现T1DM与癫痫或全身性癫痫的反向因果关联(均P>0.05)。此外,敏感性分析结果没有发现异常值，这表明T1DM与癫痫和全身性癫痫的相关性相对稳健.
■T1DM患者有发生癫痫的潜在风险，及时治疗和动态监测可能有利于预防此高危人群的癫痫。然而,DM和BG与癫痫的因果关系可能需要进一步验证.
