机构:[1]Capital Med Univ, Xuanwu Hosp, Dept Neurosurg, Beijing, Peoples R China首都医科大学宣武医院[2]China Int Neurosci Inst, Beijing, Peoples R China[3]Univ Edinburgh, Coll Med & Vet Med, Edinburgh Med Sch, Deanery Biomed Sci, Edinburgh, Scotland[4]Capital Med Univ, Xuanwu Hosp, Natl Clin Res Ctr Geriatr Disorders, Beijing, Peoples R China首都医科大学宣武医院[5]Shanxi Med Univ, Hosp 1, Dept Neurosurg, Taiyuan, Peoples R China
BackgroundEpilepsy has a genetic predisposition, yet causal factors and the dynamics of the immune environment in epilepsy are not fully understood.MethodsWe analyzed peripheral blood samples from epilepsy patients, identifying key genes associated with epilepsy risk through Mendelian randomization, using eQTLGen and genome-wide association studies. The peripheral immune environment's composition in epilepsy was explored using CIBERSORT. An epilepsy mouse model was established to validated the expression of key genes at the transcriptomic and proteomic levels through single-cell analysis. Relevant pathways were verified. Finally, we developed a predictive model for antiepileptic drug response in epilepsy patients.ResultsWe found that CDC25B, DNMT1, GZMA, MTX1, and SSH2 expression decreases epilepsy risk, whereas FGD3, RAF1, and SH3BP5L increase it. Epilepsy patients exhibited an altered peripheral immune profile, notably with increased activated mast cells and decreased CD4 memory activated T cells and gamma delta T cells. Eight genes were significantly related to this immune environment. In the animal model, FGD3, SSH2, and DNMT1 were upregulated at both mRNA and protein levels in the hippocampus. FGD3 and SSH2 are specifically elevated in microglia and are primarily associated with actin regulation. The trained predictive model was deployed on an online platform.ConclusionsThis study elucidates key genes linked to epilepsy, delineates the epilepsy immune landscape, and highlights the interaction between these domains, providing insights into potential epilepsy mechanisms and treatments.
基金:
National Natural Science Foundation of China (82030037); Beijing Municipal Health Commission
(11000022T000000444685); Beijing Municipal Health Commission (11000023T000002036286).