Myocardial infarction (MI) is a leading cause of mortality worldwide. Identification of robust and translatable molecular markers remains challenging due to inter-dataset and inter-species variability. In this study, we performed a cross-species integrative analysis to identify conserved hub genes and potential therapeutic targets in MI. Analysis revealed five hub genes (IL6, SERPINE1, MMP14, PLAUR, and ENO1), which were consistently validated across human peripheral blood and multiple animal models. A multigene diagnostic model demonstrated strong predictive performance (AUC = 0.904). The model was developed to distinguish myocardial infarction (MI) samples from non-MI control samples in an independent peripheral blood dataset. Drug-gene interaction analysis identified candidate therapeutic compounds. These results are computational predictions from the DGIdb database and do not represent validated therapeutic effects in myocardial infarction. These findings highlight conserved molecular mechanisms of MI and provide potential biomarkers and therapeutic targets with translational relevance.
山东省济南市章丘区文博路2号
齐鲁师范学院 genelibs生信实验室
山东省济南市高新区舜华路750号
大学科技园北区F座4单元2楼
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