Mu Jing, Cao Changqing, Gong Yigu, Hu Guiying
Department of Paediatrics, The First Hospital of Lanzhou University, Lanzhou 730000, Gansu, China.
Department of Paediatrics, The First Hospital of Lanzhou University, Lanzhou 730000, Gansu, China.
Epilepsy Behav. 2024 Dec;161:110112. doi: 10.1016/j.yebeh.2024.110112. Epub 2024 Oct 28.
Increasing evidence suggests that activated innate/adaptive immunity induces an inflammatory response, thereby participating in epileptogenesis. However, the biological explanation of inflammation/immunity as a potential cause for epilepsy remains largely unknown. This research aimed to determine the causal effects of inflammation/immune-related genes in epilepsy based on multi-omics mendelian randomization (MR).
We employed summary-data-based MR (SMR) approach to combine GWAS for epilepsy (12,891 cases and 312,803 control) with gene expression quantitative trait loci (cis-eQTL, 31,684 participants) and DNA methylation QTL (cis-mQTL, 1,980 participants) data. Five additional MR methods were then used for sensitivity analyses to confirm the reliability of causal associations. In addition, enrichment analysis of key genes was conducted to provide insight into the biological functions of epilepsy risk variants.
A total of 386 inflammation/immune-related genes were selected for further analyses. Primary SMR analysis indicated that 37 DNA methylation sites and six genes regulated by them had potential causal relationship with epilepsy. MR analysis further refined the results, identifying three genes that had a causal effect on epilepsy. Notably, VEGFA (OR: 0.925; 95 % CI: 0.862-0.994) expression was negatively correlated with epilepsy risk, whereas IL16 (OR: 1.076; 95 % CI: 1.028-1.126) and HLA-DPA1 (OR: 1.041; 95 % CI: 1.009-1.074) expressions were positively associated with epilepsy risk. Functional enrichment analysis revealed that the identified genes were involved in GO-BP terms related to VEGF activation signaling and chemotaxis regulation.
This analysis confirms the causal role of inflammation/immunity in epilepsy, and the identified candidate genes provide clues for drug development in clinical practice.
越来越多的证据表明,激活的先天性/适应性免疫会引发炎症反应,从而参与癫痫发生过程。然而,炎症/免疫作为癫痫潜在病因的生物学解释在很大程度上仍不清楚。本研究旨在基于多组学孟德尔随机化(MR)确定炎症/免疫相关基因在癫痫中的因果效应。
我们采用基于汇总数据的MR(SMR)方法,将癫痫全基因组关联研究(GWAS,12891例患者和312803例对照)与基因表达定量性状位点(顺式eQTL,31684名参与者)和DNA甲基化QTL(顺式mQTL,1980名参与者)数据相结合。然后使用另外五种MR方法进行敏感性分析,以确认因果关联的可靠性。此外,对关键基因进行富集分析,以深入了解癫痫风险变异的生物学功能。
共选择386个炎症/免疫相关基因进行进一步分析。初步SMR分析表明,37个DNA甲基化位点及其调控的6个基因与癫痫存在潜在因果关系。MR分析进一步细化了结果,确定了3个对癫痫有因果效应的基因。值得注意的是,VEGFA(比值比:0.925;95%置信区间:0.862-0.994)表达与癫痫风险呈负相关,而IL16(比值比:1.076;95%置信区间:1.028-1.126)和HLA-DPA1(比值比:1.041;95%置信区间:1.009-1.074)表达与癫痫风险呈正相关。功能富集分析显示,鉴定出的基因参与了与VEGF激活信号和趋化性调节相关的GO-BP术语。
本分析证实了炎症/免疫在癫痫中的因果作用,鉴定出的候选基因为临床实践中的药物开发提供了线索。