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pmid:32367757
Inflammation as a risk factor for stroke in atrial fibrillation: data from a microarray data analysis.
Yingyuan Li · Wulin Tan · Fang Ye · Shihong Wen · Rong Hu · Xiaoying Cai · Kebing Wang · Zhongxing Wang
The Journal of international medical research · 2020 doi:10.1177/0300060520921671
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Experiment
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Complete file
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We aimed to discover key genes and microRNAs related to stroke risk in patients with AF using bioinformatics analysis.\nMETHODS: GSE66724 microarray data, including peripheral blood samples from eight patients with AF and stroke and eight patients with AF without stroke, were downloaded from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) between AF patients with and without stroke were identified using the GEO2R online tool. Functional enrichment analysis was performed using the DAVID database. A protein-protein interaction (PPI) network was obtained using the STRING database. MicroRNAs (miRs) targeting these DEGs were obtained from the miRNet database. A miR-DEG network was constructed using Cytoscape software.\nRESULTS: We identified 165 DEGs (141 upregulated and 24 downregulated). Enrichment analysis showed enrichment of certain inflammatory processes. The miR-DEG network revealed key genes, including MEF2A, CAND1, PELI1, and PDCD4, and microRNAs, including miR-1, miR-1-3p, miR-21, miR-21-5p, miR-192, miR-192-5p, miR-155, and miR-155-5p.\nCONCLUSION: Dysregulation of certain genes and microRNAs involved in inflammation may be associated with a higher risk of stroke in patients with AF. Evaluating these biomarkers could improve prediction, prevention, and treatment of stroke in patients with AF.", "claims": [{"id": "claim-method", "statement": "GEO2R is an R-programming-based language for analysis of gene expression datasets by t-test or analysis of variance (ANOVA).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32367757", "locator": "sections[4] \"Screening DEGs\" paragraph 2", "quote": "GEO2R is an R-programming-based language for analysis of gene expression datasets by t-test or analysis of variance (ANOVA)."}], "state": "complete"}, {"id": "claim-data-access", "statement": "We downloaded the microarray data of GSE66724 from the GEO database (http://www.ncbi.nlm.nih.gov/geo/) with its microarray platform as GPL570 ([HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array). Peripheral blood was used in the microarray analysis.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:32367757", "locator": "sections[3] \"Microarray data\" paragraph 3", "quote": "We downloaded the microarray data of GSE66724 from the GEO database (http://www.ncbi.nlm.nih.gov/geo/) with its microarray platform as GPL570 ([HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array)."}, {"asset": "source:pmid:32367757", "locator": "sections[3] \"Microarray data\" paragraph 3", "quote": "Peripheral blood was used in the microarray analysis."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": null, "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:32367757"], "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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