Screening and Validation of Key Genes of Autophagy in Acute Myocardial Infarction Based on Bioinformatics.

{"sci_version": "1.2", "schema": "https://corpus.bntrg.co.uk/sci/1.0/sci.schema.json", "id": "pmid:38314309", "kind": "science-record", "revision": 4, "content_hash": "sha256:7487a14444baf8f9792ceb414488875ef83edd9af9e8c7cdb9bffe5cd9199cb6", "created_at": "2026-11-01T19:20:15Z", "updated_at": "2026-11-01T22:53:37Z", "generator": {"name": "corpus-assay-engine", "run_id": "reading-sci-2026-11-01"}, "paper": {"state": "complete", "title": "Screening and Validation of Key Genes of Autophagy in Acute Myocardial Infarction Based on Bioinformatics.", "doi": "10.1177/11769343241227331", "pmid": "38314309", "authors": ["Yingjie Geng", "Yu'e Han", "Shujuan Wang", "Jia Qi", "Xiaoli Bi"], "journal": "Evolutionary bioinformatics online", "year": 2024, "abstract": "Aims: Autophagy plays a significant role in the development of acute myocardial infarction (AMI), and cardiomyocyte autophagy is of major importance in maintaining cardiac function. We aimed to identify key genes associated with autophagy in AMI through bioinformatics analysis and verify them through clinical validation.\nMaterials and Methods: We downloaded an AMI expression profile dataset GSE166780 from Gene Expression Omnibus (GEO). Autophagy-associated genes potentially differentially expressed in AMI were screened using R software. Then, to identify key autophagy-related genes, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, protein-protein interaction (PPI) analysis, Receiver Operating Characteristic (ROC) curve analysis, and correlation analysis were performed on the differentially expressed autophagy-related genes in AMI. Finally, we used quantificational real-time polymerase chain reaction (qRT-PCR) to verify the RNA expression of the screened key genes.\nResults: TSC2, HSPA8, and HIF1A were screened out as key autophagy-related genes. qRT-PCR results showed that the expression levels of HSPA8 and TSC2 in AMI blood samples were lower, while the expression level of HIF1A was higher than that in the healthy controls.\nConclusions: TSC2, HSPA8, and HIF1A were identified as key autophagy-related genes in this study. They may influence the development of AMI through autophagy. These findings may help deepen our understanding of AMI and may be useful for the treatment of AMI.", "claims": [{"id": "claim-method", "statement": "Differences between the 2 groups were compared using the Student’s t-test, and P < .05 was considered a statistically significant difference.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38314309", "locator": "sections[12] \"Statistical analysis\" paragraph 2", "quote": "Differences between the 2 groups were compared using the Student’s t-test, and P < .05 was considered a statistically significant difference."}], "state": "complete"}, {"id": "claim-data-access", "statement": "Availability of Data and Materials: The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.", "kind": "methodological", "target": null, "evidence": [{"asset": "source:pmid:38314309", "locator": "sections[23] \"Footnotes\" paragraph 2", "quote": "Availability of Data and Materials: The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request."}], "state": "complete"}, {"id": "claim-target-result", "statement": "TSC2, HSPA8, and HIF1A were identified as key autophagy-related genes, with ROC AUCs of 75.80%, 92.20%, and 93.80%, respectively.", "kind": "qualitative", "target": null, "evidence": [{"asset": "source:pmid:38314309", "locator": "sections[0] \"Abstract\" paragraph 4", "quote": "TSC2, HSPA8, and HIF1A were identified as key autophagy-related genes in this study."}, {"asset": "source:pmid:38314309", "locator": "sections[17] \"The diagnostic value of key genes in AMI\" paragraph 2", "quote": "The 9 identified genes demonstrated good diagnostic value in distinguishing between AMI and control samples, with AUCs of 84.40% for CDKN1B, 84.40% for FOS, 93.80% for HIF1A, 92.20% for HSPA5, 92.20% for HSPA8, 92.20% for MAPK1, 85.20% for PINK1, 85.90% for SIRT1, and 75.80% for TSC2 (Figure 5A–I)."}], "state": "complete"}], "gaps": []}, "experiment": {"state": "partial", "objective": "TSC2, HSPA8, and HIF1A were identified as key autophagy-related genes, with ROC AUCs of 75.80%, 92.20%, and 93.80%, respectively.", "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:38314309"], "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": "blocked", "blocked_on": "data:accession_absent", "description": "The GEO series accession resolves and its sample accessions are listed. 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