100 Section - Bioinformatics Analysis of Gene Expression Changes Associated with Music Intervention in Age-Related Cognitive Disorders (ACD)

We downloaded the GSE239282 dataset from the Gene Expression Omnibus (GEO) database, 54 samples were obtained from the GSE149445 dataset, including 28 control and 26 ACD samples, and GEO2R was used to screen the differentially expressed genes (DEGs). The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway of DEGs was analyzed by SRPlot and the enrichment analysis of DEGs in Gene Ontology (GO) function was analyzed by Enrichr. Furthermore, a string tool was used to construct Protein-protein interaction (PPI) network and the protein with no interactions were removed. 

Results:

We downloaded the GSE239282 dataset from the Gene Expression Omnibus (GEO) database, 54 samples were obtained from the GSE149445 dataset, including 28 control and 26 ACD samples, and GEO2R was used to screen the differentially expressed genes (DEGs). The Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway of DEGs was analyzed by SRPlot and the enrichment analysis of DEGs in Gene Ontology (GO) function was analyzed by Enrichr. Furthermore, a string tool was used to construct Protein-protein interaction (PPI) network and the protein with no interactions were removed. 

Conclusion:

 This integrated bioinformatics analysis indicates that music-based interventions are associated with gene expression changes that may contribute to functional improvement in age-related cognitive disorders. The identification of immune- and metabolism-related hub genes, particularly GNLY, provides molecular evidence supporting the beneficial role of music in modulating pathological processes underlying ACD.