ArticleThe Journal of international medical research2025
Exploration of autophagy-related molecular mechanisms underlying epilepsy using multiple datasets.
Article in The Journal of international medical research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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6 authors.
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Abstract
ObjectiveTo elucidate the molecular mechanisms underlying epilepsy, we investigated autophagy-related differentially expressed genes in epilepsy patients.MethodsWe analyzed GSE143272 and GSE4290 microarray datasets from the NCBI Gene Expression Omnibus database, which is established based on evaluations of peripheral blood samples. Using a bioinformatics approach, autophagy-related differentially expressed genes between epilepsy patients and healthy controls were identified. Further analyses including Least Absolute Shrinkage and Selection Operator regression, immune cell infiltration, and pathway enrichment were conducted. Experimental validation was performed using quantitative reverse transcription-polymerase chain reaction in a mouse epileptic model. Additionally, the Connectivity Map database was employed to predict potential drugs.ResultsIn total, 49 autophagy-related differentially expressed genes were identified. A Least Absolute Shrinkage and Selection Operator logistic model revealed four autophagy-related differentially expressed genes, namely,
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