PDGFD and myocardial infarction: This approach allowed to exclude from the classification model MI transcriptional signature (MIR223 + MAFB) as insufficiently effective and to reduce the number of DEGs from other signatures to ADAP2, KLRC1, MIR21, PDGFD and CD14. According to the ROC-AUC analysis the obtained classification model, including 5 genes, is enable classifying MI patients and healthy controls with a quality of 0.911 while the quality of initial classification model, including 18 genes, was equal to 0.926.