Identification of key genes and pathways in hypertrophic cardiomyopathy via weighted gene co-expression network analysis
Objective:To identify the key genes in the occurrence and development of hypertrophic cardiomyopathy (HCM) via weighted gene co-expression network analysis.Methods:The gene expression profiles of GSE36961 and GSE160997, downloaded from public GEO database, were analyzed by the "limma" and "WGCNA" packages in R to identify differentially expressed genes (DEGs) and key modules, respectively. Then, enrichment analysis was performed based on Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway. A protein-protein interaction network was constructed based on the overlapped genes of DEGs and key modules, and we identified the top 4 hub genes using “cytohubba” according to inner connectivity.Results:The red and brown modules were identified as the key modules. Enrichment analysis showed that cellular divalent inorganic cation homeostasis, collagen-containing extracellular matrix, and actin-binding were significantly enriched. Finally, VSIG4, CD163, FCER1G and LAPTM5 were identified as hub genes.Conclusion:VSIG4, CD163, FCER1G and LAPTM5 might be hub genes associated with the progression of HCM. Further studies are required to elucidate the underlying mechanisms and provide potential therapeutic targets.
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