Identification of immune-related genes for the diagnosis of ischemic heart failure based on bioinformatics.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:37867954", "kind": "science-record", "revision": 4, "content_hash": "sha256:c1f8c2fa4530f539c3f94525cbe2fe7bbd9f2aac8f8e24ecdb819a7dd78c13a6", "created_at": "2026-11-01T19:02:43Z", "updated_at": "2026-11-01T22:52:55Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification of immune-related genes for the diagnosis of ischemic heart failure based on bioinformatics.", "doi": "10.1016/j.isci.2023.108121", "pmid": "37867954", "authors": ["Yiding Yu", "Xiujuan Liu", "Yitao Xue", "Yan Li"], "journal": "iScience", "year": 2023, "abstract": "The role of immune cells in the pathogenesis of ischemic heart failure (IHF) is well-established. However, identifying key genes in patients with IHF remains a challenge. We obtained two IHF datasets from the GEO database (GSE76701 and GSE21610), and identified four potential diagnostic candidate genes for IHF by using bioinformatics and machine learning algorithms, namely RNASE2, MFAP4, CHRDL1, and KCNN3. We constructed nomogram and validated the diagnostic value of these genes on additional GEO datasets (GSE57338). The results showed that these four genes had high diagnostic value (area under the curve value of 0.961). Furthermore, our immune infiltration analysis revealed the presence of three dysregulated immune cells in IHF, namely macrophages M2, monocytes, and T cells gamma delta. We also explored the potential molecular mechanisms of IHF. These findings provide new insights into the pathogenesis, diagnosis, and treatment of IHF.", "claims": [{"id": "claim-method", "statement": "To gain insights into the differences between heart failure and normal samples, we employed the limma package and identified genes with adjust p values <0.05 and | log2(FC)| ≥ 1 as the difference genes.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37867954", "locator": "sections[19] \"Data processing and differentially expressed gene screening\" paragraph 2", "quote": "To gain insights into the differences between heart failure and normal samples, we employed the limma package and identified genes with adjust p values <0.05 and | log2(FC)| ≥ 1 as the difference genes."}], "state": "complete"}, {"id": "claim-data-access", "statement": "This study analyzes existing, publicly available data. The sources for the datasets are listed in the key resources table.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:37867954", "locator": "sections[27] \"Data and code availability\" paragraph 2", "quote": "This study analyzes existing, publicly available data. The sources for the datasets are listed in the key resources table."}], "state": "complete"}, {"id": "claim-target-result", "statement": "The validation results showed that the area under the curve (AUC) of each gene was greater than 0.7, and the AUC of the 4-gene diagnostic model was 0.961, which had high diagnostic value.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:37867954", "locator": "sections[7] \"Diagnostic value assessment\" paragraph 2", "quote": "The validation results showed that the area under the curve (AUC) of each gene was greater than 0.7, and the AUC of the 4-gene diagnostic model was 0.961, which had high diagnostic value."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "The validation results showed that the area under the curve (AUC) of each gene was greater than 0.7, and the AUC of the 4-gene diagnostic model was 0.961, which had high diagnostic value.", "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:37867954"], "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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