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Disulfidptosis-related gene in acute myocardial infarction and immune microenvironment analysis: A bioinformatics
Nan Huang1, Chan Liu2, Zheng Liu1
1Clinical Pharmacy, Xiangtan Center Hospital, Xiangtan, Hunan Province, PR China.
Abstract:
Disulfidptosis is a newly discovered method of cell death. However, no studies have fully elucidated the role of disulfidptosis-related genes (DSRGs) in acute myocardial infarction (AMI). The potential role of DSRGs in AMI was analyzed through a comprehensive bioinformatics approach. Finally, hub genes were verified in vitro by qPCR. Sixteen DE-DSRGs were in the AMI. Thereafter, seven hub genes were determined by machine learning algorithms, which had potential diagnostic value in AMI. The risk model showed a robust diagnostic value (area under curve, AUC = 0.940). Prognostic analysis revealed the potential prognostic value of INF2 and CD2AP. Immune landscape analysis showed that hub genes were closely related to the immune microenvironment. By predictive analysis, we obtained four miRNAs, thirteen small molecule drugs, and five TFs closely related to hub genes. Experimental verification revealed that Slc3a2 and Inf2 were significantly up-regulated and Dstn was significantly down-regulated in the hypoxic model. Our study demonstrated that DSRGs are disorderedly expressed in AMI and identified seven hub genes through machine learning. In addition, a diagnostic model was constructed based on hub genes, providing a new perspective for the early diagnosis of AMI.
Insights
Disulfidptosis-related genes (DSRGs) are dysregulated in acute myocardial infarction (AMI). This study identified seven key DSRGs with diagnostic and prognostic value for AMI, offering new insights for early detection.
Area of Science:
- Biomedical Science
- Molecular Biology
- Cardiovascular Research
Background:
- Disulfidptosis is a novel cell death mechanism.
- The role of disulfidptosis-related genes (DSRGs) in acute myocardial infarction (AMI) remains unclear.
Purpose of the Study:
- To comprehensively analyze the role of DSRGs in AMI.
- To identify potential diagnostic and prognostic biomarkers for AMI.
Main Methods:
- Bioinformatics analysis of DSRGs in AMI.
- Machine learning algorithms to identify hub genes.
- In vitro validation using qPCR and cell models.
Main Results:
- Sixteen differentially expressed DSRGs were identified in AMI.
- Seven hub genes with significant diagnostic value (AUC = 0.940) were determined.
- INF2 and CD2AP showed prognostic potential; hub genes correlated with the immune microenvironment.
Conclusions:
- DSRGs are significantly altered in AMI.
- Seven identified hub genes and a diagnostic model offer new avenues for early AMI diagnosis.
- Further research into DSRGs' role in AMI pathogenesis and treatment is warranted.
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