Identification and validation of mitochondrial dynamics-related genes in patients with acute myocardial infarction-a bioinformatics analysis
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Recent studies highlight the link between cardiovascular disease and mitochondrial dynamics. This study sought biomarkers of mitochondrial dynamics in acute myocardial infarction (AMI) to guide more precise clinical management. AMI-related datasets (GSE62646 and GSE59867) and 50 mitochondrial dynamics-related genes (MD-RGs) were derived from public databases. Firstly, based on MD-RGs, AMI samples in GSE62646 were classified into high- and low-scoring groups by single-sample gene set enrichment analysis. The differentially expressed genes (DEGs) were incorporated into machine learning algorithms. Subsequent expression level and receiver operating characteristic (ROC) analyses identified biomarkers. Furthermore, the relationship between biomarkers and AMI was analyzed by enrichment analysis, immune infiltration analysis, correlation analysis of m6A regulators. Finally, biomarker expression was verified by reverse transcription quantitative PCR (RT-qPCR). In this study, COX7B and SNORD54 were identified as biomarkers associated with mitochondrial dynamics in AMI. ROC curves showed that two biomarkers could better differentiate between AMI and control samples, and subsequent nomogram created by integrating two biomarkers were highly accurate in predicting AMI. Furthermore, enrichment analysis revealed that co-enrich pathways for COX7B and SNORD54 included “oxidative phosphorylation” and “Notch signaling pathway”. Notably, six m6A regulators (HNRNPC, KIAA1429, METTL3, WTAP, YTHDC1, and YTHDC2) were found to be significantly under-expressed in AMI samples. The RT-PCR demonstrated that the expression levels of COX7B and SNORD54 were significantly downregulated in AMI samples compared to controls. The study recognized COX7B and SNORD54 as biomarkers associated with mitochondrial dynamics in AMI, presenting potential clinical applications that could advance the understanding of AMI management.
