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pmid:40529774
Bioinformatics-based screening of genes associated with dilated cardiomyopathy.
Yanghua Liu · Qingshan Wu · Fangni Mo · Ye Mai · Shengyuan Zhang · Xiang Wu
Journal of thoracic disease · 2025 doi:10.21037/jtd-2025-132
Paper
complete
Experiment
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Data
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Analysis
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Execution
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Complete file
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Therefore, this study aimed to identify reliable biomarker genes using bioinformatics methods to improve the clinical management of DCM.\nMethods: Three DCM gene datasets, GSE120895, GSE42955, and GSE3586, were downloaded from the Gene Expression Omnibus (GEO). Differential gene analysis was used to screen for differentially expressed genes in these datasets, and weighted gene coexpression network analysis (WGCNA) was used to screen for the gene coexpression modules most relevant to DCM. Machine learning algorithms and a Protein-protein interaction (PPI) network were used to screen for the core DCM genes in the gene coexpression module.\nResults: WGCNA identified the turquoise module as the most relevant gene module for DCM disease. Subsequently, machine learning algorithms identified 8 core genes while PPI screening identified 10 core genes. HSPA8 was found in both machine learning algorithms and PPI screening.\nConclusions: In this study, the HSPA8 gene was found to be a core gene in DCM, demonstrating the closest association with this disease. Further research on HSPA8 is expected to provide a target for the diagnosis and treatment of DCM.", "claims": [{"id": "claim-method", "statement": "Subsequently, based on five external datasets (GSE57338, GSE5406, GSE116250, GSE42955, and GSE19303), we employed receiver operating characteristic (ROC) curve analysis to evaluate the diagnostic efficacy of HSPA8 for DCM.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40529774", "locator": "sections[18] \"The diagnostic efficacy of HSPA8 for DCM\" paragraph 2", "quote": "Subsequently, based on five external datasets (GSE57338, GSE5406, GSE116250, GSE42955, and GSE19303), we employed receiver operating characteristic (ROC) curve analysis to evaluate the diagnostic efficacy of HSPA8 for DCM."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Three datasets were downloaded from the GEO database (https://www.ncbi.nlm.nih.gov/geo/), along with their expression profiles and sample information (GSE120895, GSE42955, and GSE3586).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:40529774", "locator": "sections[4] \"Gene Expression Omnibus (GEO) datasets\" paragraph 2", "quote": "Three datasets were downloaded from the GEO database (https://www.ncbi.nlm.nih.gov/geo/), along with their expression profiles and sample information (GSE120895, GSE42955, and GSE3586)."}], "state": "complete"}, {"id": "claim-target-result", "statement": "HSPA8 had high diagnostic value for dilated cardiomyopathy, with an ROC area under the curve of 0.954.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:40529774", "locator": "sections[18] \"The diagnostic efficacy of HSPA8 for DCM\" paragraph 2", "quote": "This yielded an area under the ROC curve of 0.954, indicating that HSPA8 has extremely high diagnostic value for DCM (Figure 6B)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "HSPA8 had high diagnostic value for dilated cardiomyopathy, with an ROC area under the curve of 0.954.", "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:40529774"], "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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