ArticleFrontiers in genetics2026
Application of acute myocardial infarction-related key genes in noninvasive diagnosis: a comprehensive analysis based on transcriptome and single-cell transcriptome.
Article in Frontiers in genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Acute myocardial infarction (AMI), a highly fatal cardiovascular emergency, presents ongoing clinical challenges in both early diagnosis and the elucidation of its associated immuno-inflammatory processes. By integrating multi-omics data, this research seeks to identify novel diagnostic biomarkers and uncover their potential mechanisms in AMI. Methods: By integrating transcriptomic data, core genes linked to AMI were identified by differential expression and weighted gene co-expression network analysis (WGCNA). A multivariate logistic regression diagnostic model was constructed based on these genes, and its diagnostic efficacy was evaluated with receiver operating characteristic (ROC) curve analysis. Results: Three AMI core genes (PLA2G15, ADAP2, and FAM20C) were successfully identified. The diagnostic model established via multifactorial logistic regression exhibited satisfactory discriminatory power. Conclusion: The combined diagnostic model derived from the AMI core genes PLA2G15, ADAP2, and FAM20C exhibited robust diagnostic power for noninvasive diagnosis. ADAP2 can influence AMI-induced myocardial injury through the IL-17 signaling pathway.
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