Identification of Core Gene Biomarkers in Patients With Hypertrophic Cardiomyopathy

Abstract Objective：Hypertrophic cardiomyopathy (HCM) is a kind of common hereditary myocardial disease. However, there is still a lack of detailed research in the specific mechanism of HCM. In the present study, gene microarray data were used for bioinformatics analysis to explore differentially expressed genes (DEGs) and signaling pathways between HCM patients and normal control, which would provide suggestion for the prevention and treatment for the further study of HCM.Methods: Gene microarray data of HCM patients and normal control were obtained from the Gene Expression Omnibus (GEO) database affiliated to National Center for Biotechnology Information (NCBI). Gene microarray data of 15 HCM patients and 10 normal people were respectively included. We compared the number of DEGs between the two groups, performed gene ontology (GO) enrichment analysis, kyoto encyclopedia of genes and genomes (KEGG) analysis, construct a protein-protein interaction (PPI) network based on the DEGs detected above.Results: A total of 501 DEGs were selected through analysis, among which 275 were up-regulated and 226 were down-regulated. The DEGs are mainly concentrated in ribosomes, myocardial contractions and various signaling pathways. The down-regulated cellular components and molecular functions of HCM patients were mainly associated with ribosome-related components, and PPI network also found that the DEGs were mainly derived from the ribosome family. Upregulated pathways were mainly enriched in Hippo signaling pathway, PI3K-Akt signaling pathway, AMPK signaling pathway, and adrenergic signaling in cardiomyocytes.Conclusion: By analyzing the DEGs between HCM and normal patients, differentially expressed genes, cellular components and biological processes were found. By exploring the specific mechanism of these DEGs and intervening HCM through various medical procedures, useful suggestions can be provided for targeted prevention, precise treatment and outcome improvement of HCM patients.