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Published on: February 4, 2021
Bioinformatics-Based Identification of CircRNA-MicroRNA-mRNA Network for Calcific Aortic Valve Disease
Linghong Song1, Yubing Wang1, Yufei Feng1
1NHC Key Laboratory of Prevention and Treatment of Central Asia High Incidence Diseases (First Affiliated Hospital, School of Medicine, Shihezi University), Department of Pathology and Key Laboratory for Xinjiang Endemic and Ethnic Diseases, Shihezi University School of Medicine, Shihezi, Xinjiang, China.
This study identifies novel circRNA-miRNA-mRNA networks involved in calcific aortic valve disease (CAVD) pathogenesis. These findings offer potential new therapeutic targets for treating this common heart valve condition.
Area of Science:
- Cardiovascular Biology
- Molecular Genetics
- Bioinformatics
Background:
- Calcific aortic valve disease (CAVD) is the most prevalent native valve disease, characterized by valvular interstitial cell (VIC) osteogenic differentiation and valvular endothelial cell (VEC) dysfunction.
- Circular RNAs (circRNAs) regulate osteogenic differentiation and disease progression, but their role in CAVD is not yet understood.
Purpose of the Study:
- To investigate the function and significance of circRNA-miRNA-mRNA networks in the pathogenesis of calcific aortic valve disease (CAVD).
- To identify potential therapeutic targets for CAVD based on these regulatory networks.
Main Methods:
- Utilized mRNA, miRNA, and circRNA datasets from CAVD patients obtained from GEO.
- Identified differentially expressed (DE) circRNAs, miRNAs, and mRNAs.
- Constructed circRNA-miRNA-mRNA networks using bioinformatics tools and predicted regulatory interactions.
- Performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses.
- Identified hub genes via protein-protein interaction (PPI) networks.
Main Results:
- Identified 32 DE-circRNAs, 206 DE-miRNAs, and 2170 DE-mRNAs.
- Fifty-nine common mRNAs (FmRNAs) were identified for network construction.
- KEGG analysis revealed enrichment in pathways including cancer, JAK-STAT signaling, cell cycle, and MAPK signaling.
- GO analysis highlighted enrichment in transcription, nucleolus, and protein homodimerization activity.
- Eight hub genes were identified, leading to the construction of three potential regulatory networks in CAVD: hsa_circ_0026817-hsa-miR-211-5p-CACNA1C, hsa_circ_0007215-hsa-miR-1252-5p-MECP2, and hsa_circ_0007215-hsa-miR-1343-3p-RBL1.
Conclusions:
- Bioinformatic analysis reveals the functional role of circRNA-miRNA-mRNA networks in CAVD pathogenesis.
- These identified networks and their components represent novel therapeutic targets for CAVD treatment.
