GAS6-AS1, a long noncoding RNA, functions as a key candidate gene in atrial fibrillation related stroke determined by ceRNA network analysis and WGCNA.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:36894947", "kind": "science-record", "revision": 3, "content_hash": "sha256:cece495f7b52f5031255cd6d54c643d8cbcc83ffc398c1e8c8eb75d0fde82b08", "created_at": "2026-11-01T19:01:32Z", "updated_at": "2026-11-01T22:09:01Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "GAS6-AS1, a long noncoding RNA, functions as a key candidate gene in atrial fibrillation related stroke determined by ceRNA network analysis and WGCNA.", "doi": "10.1186/s12920-023-01478-y", "pmid": "36894947", "authors": ["Rui-Bin Li", "Xiao-Hong Yang", "Ji-Dong Zhang", "Wei Cui"], "journal": "BMC medical genomics", "year": 2023, "abstract": "BACKGROUND: Stroke attributable to atrial fibrillation (AF related stroke, AFST) accounts for 13 ~ 26% of ischemic stroke. It has been found that AFST patients have a higher risk of disability and mortality than those without AF. Additionally, it's still a great challenge to treat AFST patients because its exact mechanism at the molecular level remains unclear. Thus, it's vital to investigate the mechanism of AFST and search for molecular targets of treatment. Long non-coding RNAs (lncRNAs) are related to the pathogenesis of various diseases. However, the role of lncRNAs in AFST remains unclear. In this study, AFST-related lncRNAs are explored using competing endogenous RNA (ceRNA) network analysis and weighted gene co-expression network analysis (WGCNA).\nMETHODS: GSE66724 and GSE58294 datasets were downloaded from GEO database. After data preprocessing and probe reannotation, differentially expressed lncRNAs (DELs) and differentially expressed mRNAs (DEMs) between AFST and AF samples were explored. Then, functional enrichment analysis and protein-protein interaction (PPI) network analysis of the DEMs were performed. At the meantime, ceRNA network analysis and WGCNA were performed to identify hub lncRNAs. The hub lncRNAs identified both by ceRNA network analysis and WGCNA were further validated by Comparative Toxicogenomics Database (CTD).\nRESULTS: In all, 19 DELs and 317 DEMs were identified between the AFST and AF samples. Functional enrichment analysis suggested that the DEMs associated with AFST were mainly enriched in the activation of the immune response. Two lncRNAs which overlapped between the three lncRNAs identified by the ceRNA network analysis and the 28 lncRNAs identified by the WGCNA were screened as hub lncRNAs for further validation. Finally, lncRNA GAS6-AS1 turned out to be associated with AFST by CTD validation.\nCONCLUSION: These findings suggested that low expression of GAS6-AS1 might exert an essential role in AFST through downregulating its downstream target mRNAs GOLGA8A and BACH2, and GAS6-AS1 might be a potential target for AFST therapy.", "claims": [{"id": "claim-method", "statement": "To explore the association between genes and clinical traits, the lncRNA expression matrix was extracted from the merged dataset. All 1347 lncRNAs were chosen to construct the co-expression modules following the instruction of “WGCNA” package [16].", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36894947", "locator": "sections[9] \"Identification of Hub lncRNAs through WGCNA\" paragraph 2", "quote": "To explore the association between genes and clinical traits, the lncRNA expression matrix was extracted from the merged dataset. All 1347 lncRNAs were chosen to construct the co-expression modules following the instruction of “WGCNA” package [16]."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The datasets generated for this study can be found in the GEO database (GSE66724 and GSE58294; https://www.ncbi.nlm.nih.gov/geo/).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:36894947", "locator": "sections[26] \"Availability of data and materials\" paragraph 2", "quote": "The datasets generated for this study can be found in the GEO database (GSE66724 and GSE58294; https://www.ncbi.nlm.nih.gov/geo/)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "Finally, lncRNA GAS6-AS1 turned out to be associated with AFST by CTD validation.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:36894947", "locator": "sections[0] \"Abstract\" paragraph 3", "quote": "Finally, lncRNA GAS6-AS1 turned out to be associated with AFST by CTD validation."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "Finally, lncRNA GAS6-AS1 turned out to be associated with AFST by CTD validation.", "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:36894947"], "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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