Bioinformatics analysis of the regulatory lncRNA‑miRNA‑mRNA network and drug prediction in patients with hypertrophic cardiomyopathy.

摘要: Hypertrophic cardiomyopathy (HCM) is a complex inherited cardiovascular disease. The present study investigated the long noncoding (lnc)RNA/microRNA (mi)RNA/mRNA expression pattern of patients with HCM and aimed to identify key molecules involved in development this condition. An integrated strategy was conducted differentially expressed miRNAs (DEmiRs), lncRNAs (DElncs) genes (DEGs) based on GSE36961 (mRNA), GSE36946 (miRNA), GSE68316 (lncRNA/mRNA) GSE32453 (mRNA) profiles downloaded from Gene Expression Omnibus datasets. Bioinformatics tools were employed perform function pathway enrichment analysis, protein‑protein interaction, lncRNA‑miRNA‑mRNA hub gene networks. Subsequently, DEGs used as targets predict drugs. results indicated that total 2,234 DElncs (1,120 upregulated 1,114 downregulated), 5 DEmiRs (2 3 downregulated) 42 (35 7 identified 4 microarray profiles. ontology analysis revealed mainly actin filament stress fiber formation calcium ion binding, whereas Kyoto Encyclopedia Genes Genomes hypoxia inducible factor‑1, transforming growth factor‑β tumor necrosis factor signaling pathways main these processes. screened using cytoHubba. A 1,086 interactions including 67 lncRNAs, 25 mRNAs mined prediction websites. Drug targeted drugs included angiotensin converting enzyme inhibitors or β‑blockers. comprehensive bioinformatics molecular regulatory network performed potential therapeutic applications predicted patients. data may unravel future mechanism HCM.