Identification of novel key genes and signaling pathways in hypertrophic cardiomyopathy: evidence from bioinformatics and next generation sequencing data analysis
Vastrad, B. M.; Vastrad, C. M.
Show abstract
Hypertrophic cardiomyopathy (HCM) is a global health problem characterized by left ventricle become thick and stiff with effect of indication including chest pain, fluttering, fainting and shortness of breath. In this investigation, we aimed to identify diagnostic markers and analyzed the therapeutic potential of essential genes. Next generation sequencing (NGS) dataset GSE180313 was obtained from the Gene Expression Omnibus (GEO) database and used to identify differentially expressed genes (DEGs) in HCM. DEGs were screened using the DESeq2 Rbioconductor tool. Then, Gene Ontology (GO) and REACTOME pathway enrichment analyses were performed. Moreover, a protein-protein interaction (PPI) network of the DEGs was constructed, and module analysis was performed. Next, miRNA-hub gene regulatory network, TF-hub gene regulatory network and drug-hub gene interaction network were constructed and analyzed. Next, diagnostic values of hub genes were assessed by receiver operating characteristic (ROC) curve analysis. Finely, molecular docking and ADMET studies were performed. By performing DEGs analysis, total 958 DEGs ( 479 up regulated genes and 479 down regulated genes) were successfully identified from GSE180313, respectively. GO and REACTOME pathway enrichment analyses revealed that GO functions and signaling pathways were significantly enriched including response to stimulus, multicellular organismal process, metabolism and extracellular matrix organization. The hub genes of FN1, SOX2, TUBA4A, RPS2, TUBA1C, ESR1, SNCA, LCK, PAK1 and APLNR might be associated with HCM. The hub gens of FN1 and TPM3, together with corresponding predicted miRNAs (e.g., hsa-mir-374a-5p and hsa-miR-8052), SH3KBP1 and ESR1 together with corresponding predicted TFs (e.g PRRX2 and STAT3) and CHRNA4 and CHRM3 together with corresponding predicted drug molecules (e.g. Succinylcholine and Umeclidinium) were found to be significantly correlated with HCM. Molecular Docking study revealed that all tested phytoconstituents effectively occupied LGALS3 and ESR1. ADMET analysis found that all screened compounds have adequate solubility and high projected intestine absorption, indicating their appropriateness for oral administration, This investigation could serve as a basis for further understanding the molecular pathogenesis and potential therapeutic targets of HCM.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Bioinformatic characterization of angiotensin-converting enzyme 2, the entry receptor for SARS-CoV-2 94%
- Relationship between epicardial and perivascular fatty tissue and adipokine-cytokine level in coronary artery disease patients 94%
- Kynurenic acid, a key L-tryptophan-derived metabolite, protects the heart from an ischemic damage 94%
Similar papers in this journal
- Identification of candidate biomarkers and therapeutic agents for heart failure by bioinformatics analysis 96%
- Catalpol inhibits HHcy-induced EndMT in endothelial cells by modulating ROS/NF-κB signaling 94%
- Obesity, hypertension and tobacco use associated with left ventricular remodelling and hypertrophy in South African Women: Birth to Twenty Plus Cohort 92%
Similar papers in this journal
- Myogenetic oligodeoxynucleotide induces myocardial differentiation of murine pluripotent stem cells 94%
- Metformin attenuates hyperglycaemia-stimulated pro-fibrotic gene expression in vascular adventitial fibroblasts via inhibition of Discoidin Domain Receptor 2 94%
- A meta-analysis approach to gene regulatory network inference identifies key regulators of cardiovascular diseases 93%
Similar papers in this journal
Similar papers in this journal
- Impact of Comorbidities on SARS-CoV-2 Viral Entry-Related Genes 94%
- Intersections between copper, β-arrestin-1, calcium, FBXW7, CD17, insulin resistance and atherogenicity mediate depression and anxiety due to type 2 diabetes mellitus: a nomothetic network approach 94%
- Development and validation of decision rules models to stratify coronary artery disease, diabetes, and hypertension risk in preventive care: cohort study of returning UK Biobank participants 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.