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Published on: March 30, 2019
Gene modules and genes associated with postoperative atrial fibrillation: weighted gene co-expression network
Xiaomeng Chen1,2, Huaiguang Tang1,2, Kongmiao Lu3
1Department of Cardiology, Qingdao Municipal Hospital, Qingdao University, Qingdao, China.
Background:
Atrial fibrillation (AF) is the most common complication in patients undergoing cardiac surgery. However, the pathogenesis of postoperative AF (POAF) is elusive, and research related to this topic is sparse. Our study aimed to identify key gene modules and genes and to conduct a circular RNA (circRNA)-microRNA (miRNA)-messenger RNA (mRNA) regulatory network analysis of POAF on the basis of bioinformatic analysis.
Methods:
The GSE143924 and GSE97455 data sets from the Gene Expression Omnibus (GEO) database were analyzed. Weighted gene co-expression network analysis (WGCNA) was used to identify the key gene modules and genes related to POAF. A circRNA-miRNA-mRNA regulatory network was also built according to differential expression analysis. Functional enrichment analysis was further performed according to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis.
Results:
WGCNA identified 2 key gene modules and 44 key genes that were significantly related to POAF. Functional enrichment analysis of these key genes implicated the following important biological processes (BPs): endosomal transport, protein kinase B signaling, and transcription regulation. The circRNA-miRNA-mRNA regulatory network suggested that KLF10 may take critical part in POAF. Moreover, 2 novel circRNAs, hsa_circRNA_001654 and hsa_circRNA_005899, and 2 miRNAs, hsa-miR-19b-3p and hsa-miR-30a-5p, which related with KLF10, were involved in the network.
Conclusions:
Our study provides foundational expression profiles following POAF based on WGCNA. The circRNA-miRNA-mRNA network offers insights into the BPs and underlying mechanisms of POAF.
Insights
Postoperative atrial fibrillation (POAF) is common after cardiac surgery. This study used bioinformatics to identify key genes and build a regulatory network, revealing potential mechanisms involving KLF10 and novel circRNAs/miRNAs.
Area of Science:
- Cardiovascular Biology
- Molecular Biology
- Bioinformatics
Background:
- Postoperative atrial fibrillation (POAF) is a frequent complication following cardiac surgery.
- The underlying pathogenesis of POAF remains largely unknown, with limited research available.
- This study aims to elucidate POAF mechanisms using bioinformatics approaches.
Purpose of the Study:
- Identify key gene modules and genes associated with POAF.
- Construct a circular RNA (circRNA)-microRNA (miRNA)-messenger RNA (mRNA) regulatory network for POAF.
- Investigate the biological processes and pathways involved in POAF.
Main Methods:
- Analyzed Gene Expression Omnibus (GEO) datasets (GSE143924, GSE97455).
- Utilized Weighted Gene Co-expression Network Analysis (WGCNA) to identify significant gene modules and genes.
- Performed differential expression analysis to build a circRNA-miRNA-mRNA network.
- Conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses.
Main Results:
- WGCNA identified 2 key gene modules and 44 significant genes related to POAF.
- Functional enrichment analysis highlighted endosomal transport, protein kinase B signaling, and transcription regulation.
- A circRNA-miRNA-mRNA network implicated KLF10, hsa_circRNA_001654, hsa_circRNA_005899, hsa-miR-19b-3p, and hsa-miR-30a-5p in POAF.
Conclusions:
- Established foundational gene expression profiles for POAF using WGCNA.
- The developed circRNA-miRNA-mRNA network provides novel insights into POAF pathogenesis.
- Identified key molecular players and pathways potentially driving POAF.
