Cited by 5Cardiac Valve Diseases and TreatmentsBioinformatics and Genomic NetworksAtherosclerosis and Cardiovascular Diseases

Bioinformatic-based identification of genes associated with aortic valve stenosis

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Song, Chao, Wei, Shixiong, Fan, Yunlong, Jiang, Shengli·2022·The Heart Surgery Forum

Abstract

Background: Aortic valve stenosis (AS) disease is the most common valvular disease in developed countries. The pathology of AS is complex, and its main processes include calcification of the valve stroma and involve genetic factors, lipoprotein deposition and oxidation, chronic inflammation, osteogenic transition of cardiac valve interstitial cells, and active valve calcification. The aim of this study was to identify potential genes associated with AS. Methods: Three original gene expression profiles (GSE153555, GSE12644, and GSE51472) were downloaded from the Gene Expression Omnibus (GEO) database and analyzed by GEO2R tool or ‘limma’ in R to identify differentially expressed genes (DEGs). Functional enrichment was analyzed using the ClusterProfiler package in R Bioconductor. STRING was utilized for the Protein–Protein Interaction (PPI) Network construct, and tissue-specific gene expression were identified using BioGPS database. The hub genes were screened out using the Cytoscape software. Related miRNAs were predicted in Targetscan, miWalk, miRDB, Hoctar, and TarBase. Results: A total of 58 upregulated genes and 20 downregulated genes were screened out, which were mostly enriched in matrix remodeling and the immune system process. A module was thus clustered into by PPI network analysis, which mainly involved in Fc gamma R-mediated phagocytosis, Osteoclast differentiation. Ten genes (IBSP, NCAM1, MMP9, FCGR3B, COL4A3, FCGR1A, THY1, RUNX2, ITGA4, and COL10A1) with the highest degree scores were subsequently identified as the hub genes for AS by applying the CytoHubba plugin. And hsa-miR-1276 was finally identified as potential miRNA and miRNA-gene regulatory network was constructed using NetworkAnalyst. Conclusions: Our analysis suggested that IBSP, NCAM1, MMP9, FCGR3B, COL4A3, FCGR1A, THY1, RUNX2, ITGA4, and COL10A1 might be hub genes associated with AS, and hsa-miR-1276 was potential miRNA. This result could provide novel insight into pathology and therapy of AS in the future.

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Authors
Song, C., Wei, S., Fan, Y., & Jiang, S.
Affiliations
Chinese PLA General Hospital (CN)
Venue
The Heart Surgery Forum
Publisher
IMR Press
Published
2022-01-24
Volume
25
Issue
1
Pages
E069-E078
ISSN
  • 1098-3511 (ISSN-L)
  • 1522-6662
OpenAlex
W4206939975
Cited by
5
References
68
Citations by year
2025: 4 · 2022: 1
FWCI
0.87
Type
journal article
Language
en
Open access
Locations
  • The Heart Surgery Forum (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiac Valve Diseases and Treatments
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
  • Life Sciences › Immunology and Microbiology › Immunology › Atherosclerosis and Cardiovascular Diseases
Keywords
aortic stenosis, valve calcification, differentially expressed genes, hub genes, protein-protein interaction network, microRNA, miRNA-gene regulatory network, osteoclastogenesis, matrix remodeling, immune system process, bone sialoprotein, CD56, MMP-9, COL4A3, COL10A1, Runx2, CD49d
MeSH terms
Aortic Valve Stenosis, Humans, Gene Expression Regulation, Neoplastic, Computational Biology, Gene Expression Profiling, Gene Regulatory Networks

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