Key result
APEX1, ECHDC2, NME3, and PUS1 were identified as biomarkers for acute myocardial infarction, all exhibiting significantly reduced expression in AMI samples compared to healthy controls.
Why the study?
Mitochondrial dysfunction in macrophages worsens inflammation and impedes repair after AMI, motivating the identification and validation of AMI biomarkers associated with mitochondria-related and macrophage polarization-related genes.
Observational (n=92)
No
APEX1, ECHDC2, NME3, and PUS1 are identified as potential biomarkers for AMI, offering new targets for therapeutic intervention.
Answers are grounded in this paper and cite their sources.
Identifies MRG/MPRG biomarkers in AMI; extends macrophage-mitochondria mechanisms toward targeted interventions.
Studies have shown that mitochondrial dysfunction in macrophages worsens inflammation and impedes repair after acute myocardial infarction (AMI). This study aimed to identify and validate biomarkers of AMI associated with mitochondria-related genes (MRGs) and macrophage polarization-related genes (MPRGs), offering new targets and strategies for therapeutic intervention of AMI. In this study, the GSE61144 and GSE60993 datasets were employed. Initially, candidate genes were identified by overlapping the differentially expressed genes (DEGs) from differential expression analysis, key module genes from weighted gene co-expression network analysis (WGCNA), and MRGs. Then, biomarkers were identified by machine learing, receiver operating characteristic (ROC), and gene expression analyses. Finally, functional enrichment, immune infiltration, drug prediction, and reverse transcription quantitative polymerase chain reaction (RT-qPCR) analyses were performed to explore the roles of these biomarkers. The study identified APEX1, ECHDC2, NME3, and PUS1 as biomarkers associated with AMI, all of which exhibited reduced expression in AMI samples. RT-qPCR results further validated these findings. Notably, all 4 biomarkers were predominantly co-enriched in the “ribosome” pathway, highlighting its significance in AMI. Additionally, 11 differential immune cells were identified. Correlation analysis revealed that these biomarkers showed the strongest positive correlations with activated CD8 T cells and the most negative correlations with neutrophils. Drug prediction indicated that valproic acid, which targeted all 4 biomarkers, could be a promising therapeutic option for AMI. In this study, APEX1, ECHDC2, NME3, and PUS1 were identified as biomarkers for AMI, with their expression levels validated in clinical samples. These findings offered a potential theoretical foundation for developing targeted treatments for AMI. Not applicable.
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Qu et al. (2026) conducted an observational in Acute myocardial infarction (n=92). APEX1, ECHDC2, NME3, and PUS1 were identified as biomarkers for acute myocardial infarction, all exhibiting significantly reduced expression in AMI samples compared to healthy controls.
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