Predicting diagnostic gene Biomarkers associated with N6-methyladenosine and ferroptosis in patients with acute myocardial infarction

Background This study aimed to provide an early potential diagnosis of acute myocardial infarction (AMI) and determine its correlation with ferroptosis, immune checkpoints, and N6-methyladenosine (m6A). Methods We downloaded microarray data from NCBI (GSE61144, GSE60993, and GSE42148) and identified differentially expressed genes (DEGs) in samples from healthy subjects and patients with AMI. We also performed systematic gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses and used STRING to predict the interactions between proteins. Then we proceeded with the identification of the first ten DEGs by plotting the receiver operating characteristic curve using the multi-scale curvature classification algorithm, and verification of their diagnostic significance. Next, we investigated the relationship between these target genes and immune checkpoints, ferroptosis, and m6A. Results Through screening, we identified 253 DEGs, including 181 downregulated and 72 upregulated genes. According to GO, KEGG, and key gene screening results, GZMB, GZMA, PRF1, KLRB1, CD2, KLRD1, IL2RB, NKG7, GZMK, and CCL5 could be used for early prediction of AMI. Moreover, we found that AMI was associated with ferroptosis, immune checkpoints, and m6A. Conclusion GZMB, GZMA, PRF1, KLRB1, CD2, KLRD1, IL2RB, NKG7, GZMK, and CCL5 are effective markers for the diagnosis of AMI, which can provide new prospects for future studies on the pathogenesis of AMI.