A Comprehensive Investigation of Molecular Signatures and Pathways Linking Alzheimer's Disease and Epilepsy via Bioinformatic Approaches
CURRENT ALZHEIMER RESEARCH(2022)
摘要
Background: Epileptic activity frequently occurs in patients with Alzheimer's disease (AD), which may accelerate AD progression; however, the relationship between AD and epilepsy remains unclear. Objective: We aimed to investigate the molecular pathways and genes linking AD and epilepsy using bioinformatics approaches. Methods: Gene expression profiles of AD (GSE1297) and epilepsy (GSE28674) were derived from the Gene Expression Omnibus (GEO) database. The top 50% expression variants were subjected to weighted gene co-expression network analysis (WGCNA) to identify key modules associated with these diseases. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses for the key modules were performed, and the intersected terms of functional enrichment and common genes within the key modules were selected. The overlapping genes were subjected to analyses of protein-protein interaction (PPI) network, transcription factor (TF)-mRNA network, microRNA (miRNA)-mRNA network, and drug prediction. Results: We identified 229 and 1187 genes in the AD-associated purple and epilepsy-associated blue modules, respectively. Six shared functional terms between the two modules included "calcium ion binding" and "calcium signaling pathway." According to 17 common genes discovered, 130 TF-mRNA pairs and 56 miRNA-mRNA pairs were established. The topological analyses of the constructed regulatory networks suggested that TF - FOXC1 and miRNA - hsa-mir-335-5p might be vital co-regulators of gene expression in AD and epilepsy. In addition, CXCR4 was identified as a hub gene, becoming the putative target for 20 drugs. Conclusion: Our study provided novel insights into the molecular connection between AD and epilepsy, which might be beneficial for exploring shared mechanisms and designing disease-modifying therapies.
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关键词
Alzheimer's disease,epilepsy,calcium,miRNA,transcription factor,network
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