Gene modules and genes associated with postoperative atrial fibrillation: weighted gene co-expression network analysis and circRNA-miRNA-mRNA regulatory network analysis.

{"sci_version": "1.0", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37868904", "kind": "science-record", "revision": 3, "content_hash": "sha256:f183557fb869b95c939645aabcbae9ce19523c39b2682f3a4a841579e699be62", "created_at": "2026-11-01T19:02:43Z", "updated_at": "2026-11-01T21:31:46Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Gene modules and genes associated with postoperative atrial fibrillation: weighted gene co-expression network analysis and circRNA-miRNA-mRNA regulatory network analysis.", "doi": "10.21037/jtd-23-1179", "pmid": "37868904", "authors": ["Xiaomeng Chen", "Huaiguang Tang", "Kongmiao Lu", "Zhaozhuo Niu", "Wei Sheng", "Ho Young Hwang", "Philip Y K Pang", "Joseph D Phillips", "Ali Khoynezhad", "Xiaolu Qu", "Bingong Li", "Wei Han"], "journal": "Journal of thoracic disease", "year": 2023, "abstract": "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.\nMethods: 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.\nResults: 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.\nConclusions: 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.", "claims": [{"id": "claim-method", "statement": "Weighted gene co-expression network analysis (WGCNA) was used to identify the key gene modules and genes related to POAF.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37868904", "locator": "sections[0] \"Abstract\" paragraph 2", "quote": "Weighted gene co-expression network analysis (WGCNA) was used to identify the key gene modules and genes related to POAF."}], "state": "complete"}, {"id": "claim-data-access", "statement": "GSE143924 was based on the GPL25483 (platform of Affymetrix Human Gene 2.0 ST Array) and comprised of 30 epicardial adipose tissue samples including 15 POAF patients and 15 non-POAF patients.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37868904", "locator": "sections[4] \"Microarray data\" paragraph 2", "quote": "GSE143924 was based on the GPL25483 (platform of Affymetrix Human Gene 2.0 ST Array) and comprised of 30 epicardial adipose tissue samples including 15 POAF patients and 15 non-POAF patients."}], "state": "complete"}, {"id": "claim-target-result", "statement": "WGCNA identified 2 key gene modules and 44 key genes that were significantly related to POAF.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37868904", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "WGCNA identified 2 key gene modules and 44 key genes that were significantly related to POAF."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "WGCNA identified 2 key gene modules and 44 key genes that were significantly related to POAF.", "steps": [{"id": "read_published_estimate", "order": 1, "name": "Read the published estimate from the source", "kind": "other", "state": "complete", "blocked_on": null, "description": "The claim, method and evidence span published with the source article.", "duration_hours": null, "parameters": {}, "inputs": ["source:pmid:37868904"], "outputs": ["the published estimate and its evidence"], "instruments": [], "reagents": []}, {"id": "obtain_source_data", "order": 2, "name": "Obtain the source data from the named repository", "kind": "data-preparation", "state": "complete", "blocked_on": null, "description": "The GEO series accession resolves and its sample accessions are listed. 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