Background: Epilepsy is a severe neurological disease. Exploring the intrinsic mechanisms of the onset and development of epilepsy, and seeking new therapeutic targets and diagnostic markers, remain very important for epilepsy research.
Methods: Two independent epilepsy microarray datasets from the GEO database were used to identify differentially expressed genes. And eQTL exposure factor data from the GWAS database were used for Mendelian randomization analysis to identify genes associated with epilepsy. The intersection of genes from the two sources was taken to identify key genes for epilepsy. Subsequently, various enrichment analyses and immune infiltration assessments were performed on the key genes to explore their functions and the pathways involved in the epileptic process. Finally, four machine learning models were used to construct a nomogram to evaluate the risk of epilepsy.
Results: This study identified differentially expressed genes (DEGs) associated with epilepsy, including 163 up-regulated DEGs and 100 down-regulated DEGs. Combined with Mendelian randomization analysis, seven key genes were confirmed: ASAH1, RASGRP1, PGLYRP1, ARG1, TBC1D4, PDIA6, and SLPI. These gene enrichments were involved in cellular material transport networks, related cellular components, as well as amino acid biosynthesis and metabolism, neurotrophic factor signaling pathways, sphingolipid metabolism, Toll-like receptor and NOD-like receptor signaling pathways, Ras/MAPK signaling pathways, phagocytosis, and protein processing in the endoplasmic reticulum. CIBERSORT analysis revealed the unique distribution of immune cells in epilepsy and the regulation of key genes on immune cells, further emphasizing the importance of immune processes in the disease. The nomogram constructed based on these genes provides a quantitative prediction of epilepsy risk.
Conclusion: The findings provide new insights into the pathogenesis of epilepsy and demonstrate the potential for treating epilepsy by targeting specific molecular pathways, laying the groundwork for future research and clinical work.