ArticleInternational journal of general medicine2023
Development and Validation of a Diagnostic Model Based on Hypoxia-Related Genes in Myocardial Infarction.
Article in International journal of general medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 9 citations in OpenAlex.
- The Function and Mechanism of OXCT1 in Tumor Progression as a Critical Ketone Body Metabolic Enzyme.Biomolecules · 2025Review
- Partial Regulation of Ketone Metabolism by Hypoxia in H9C2 Cardiomyocytes.Current medical science · 2025Article
- Enhanced neoangiogenesis and balance of the immune response mediated by the Wilms' tumor suppressor WT1 favor repair after myocardial infarction.Theranostics · 2025Article
- Identification of mitochondria-related gene biomarkers associated with immune infiltration in acute myocardial infarction.iScience · 2024Article
- CLINICAL VALIDATION OF ANKRD36 MUTATIONS AS A NOVEL BIOMARKER FOR MONITORING EARLY PROGRESSION AND TIMELY CLINICAL INTERVENTIONS IN BLAST CRISIS CML.Journal of population therapeutics and clinical pharmacology = Journal de la therapeutique des populations et de la pharmacologie clinique · 2022Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
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Abstract
Purpose: Myocardial infarction (MI) is a common cardiovascular disease, and its underlying pathological mechanism remains unclear. We aimed to develop a diagnostic model to distinguish different subtypes of MI. Patients and Methods: The gene expression profiles of MI from the GEO database and hypoxia-related genes (HRGs) from MSigDB were downloaded. Then, the different MI subtypes based on HRGs were identified with unsupervised clustering. The difference of expression patterns and hypoxic-immune status among different subtypes of MI were investigated. The diagnostic model to distinguish the different subtypes of MI was developed and validated. Results: Based on HRGs, MI samples were divided into two subtypes, cluster A and cluster B. A total of 211 genes showed significant changes in expression between the two subtypes. Cluster A was characterized by high hypoxia status and low immunity status. Based on weighted gene co-expression network analysis, ROC analysis and LASSO regression algorithm, 5 genes were identified as potential diagnostic markers. Finally, a diagnostic model based on these 5 genes was established, which can distinguish the two subtypes well. Conclusion: The five hub genes, including ANKRD36, HLTF, KIF3A, OXCT1 and VPS13A, may be associated with the different subtypes of MI.
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