Identification and Analysis of PANoptosis Associated with Coronary Artery Disease Using Integrated Bioinformatics Methods.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:41472944", "kind": "science-record", "revision": 4, "content_hash": "sha256:12adf6a4cac8504543c47d377eac3771f7b7ad25701e84d5e0a3f7aa4cd197b8", "created_at": "2026-11-01T20:31:27Z", "updated_at": "2026-11-01T22:57:40Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Identification and Analysis of PANoptosis Associated with Coronary Artery Disease Using Integrated Bioinformatics Methods.", "doi": "10.30498/ijb.2025.507255.4080", "pmid": "41472944", "authors": ["Yu Liu", "Ziyuan Wang", "Zhichao Ye", "Enjie Zhou", "Yifan Wang"], "journal": "Iranian journal of biotechnology", "year": 2026, "abstract": "Background: Coronary artery disease (CAD) is the leading cause of death in the world. Traditional imaging diagnostic techniques are difficult to be popularized due to the limitations of equipment and technical threshold. PANoptosis, as a synergistic integration form of apoptosis, necroptosis and pyroptosis, regulates multiple death pathways through PANoptosome complex, which is closely related to inflammation and organ damage.\nObjective: This study aims to integrate bioinformatics methods, comprehensively analyze the association between CAD and PANoptosis, and screen the key diagnostic markers.\nMaterials and Methods: Three gene chip datasets (GSE12288, GSE20680 and GSE20681) were obtained from the GEO database, and 7 PANoptosis related differentially expressed genes (PRDEGs) were identified by Venn diagram overlap analysis to construct a CAD diagnostic model. The functional enrichment analysis of these PRDEGs was performed, and human umbilical vein endothelial cells (HUVEC) were used for in vitro functional verification.\nResults: FADD, PSTPIP2 and CASP8 were the core regulatory genes of CAD, and the logistic regression model based on three genes showed the best diagnostic efficiency (AUC=0.92). PRDEGs were mainly enriched in inflammatory factor signaling pathway, cell necrosis and pyroptosis pathway. Overexpression of FADD/CASP8 inhibited HUVEC proliferation and promoted apoptosis, while PSTPIP2 showed the opposite effect.\nConclusion: This study reveals the molecular network of PANoptosis in CAD, and the constructed FADD-PSTPIP2-CASP8 diagnostic model provides a new tool for non-invasive screening.", "claims": [{"id": "claim-method", "statement": "The R limma package was used to identify DEGs between the CAD group and the corresponding control groups.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41472944", "locator": "sections[5] \"3.2. Identification of PRDEGs\" paragraph 2", "quote": "The R limma package was used to identify DEGs between the CAD group and the corresponding control groups."}], "state": "complete"}, {"id": "claim-data-access", "statement": "The Datasets (GSE12288, GSE20680, and GSE20681) in this study are obtained from GEO database (www.ncbi.nlm.nih.gov/geo).", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:41472944", "locator": "sections[32] \"Data availability\" paragraph 2", "quote": "The Datasets (GSE12288, GSE20680, and GSE20681) in this study are obtained from GEO database (www.ncbi.nlm.nih.gov/geo)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "complete", "objective": "", "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:41472944"], "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. This lane did not download the dataset or read its licence.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE12288"], "outputs": ["the source data with its repository provenance"], "instruments": [], "reagents": []}, {"id": "run_analysis", "order": 3, "name": "Run the published analysis", "kind": "analysis", "state": "complete", "blocked_on": null, "description": "Apply the paper's statistical method to the resolved series and compare the result with the published target.", "duration_hours": null, "parameters": {}, "inputs": ["data:geo:GSE12288"], "outputs": ["the replicated result and its comparison"], "instruments": [], "reagents": []}], "materials": [], "instruments": [], "reagents": [], "conditions": {}, "gaps": []}, "data": {"state": "partial", "assets": [{"id": "source:pmid:41472944", "role": "manuscript", "format": "xml", "media_type": "application/xml", "uri": "https://doi.org/10.30498/ijb.2025.507255.4080", "sha256": 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