The ceRNA network of hub genes.

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.

二硫死亡（disulfidptosis）是一种新近发现的细胞死亡方式。然而，目前尚无研究全面阐明二硫死亡相关基因（disulfidptosis-related genes, DSRGs）在急性心肌梗死（acute myocardial infarction, AMI）中的作用。本研究通过综合生物信息学方法分析了DSRGs在AMI中的潜在功能。最终，通过实时荧光定量聚合酶链式反应（qPCR）在体外验证了核心基因。在AMI样本中共筛选得到16个差异表达二硫死亡相关基因（DE-DSRGs）；随后借助机器学习算法确定了7个核心基因，这些基因在AMI中具备潜在诊断价值。构建的风险模型展现出优异的诊断效能（曲线下面积AUC=0.940）。预后分析揭示了INF2与CD2AP的潜在预后价值。免疫微环境分析结果显示，核心基因与免疫微环境密切相关。通过预测分析，本研究获得了4个与核心基因紧密关联的微小RNA（miRNAs）、13种小分子药物以及5个转录因子（TFs）。实验验证表明，在缺氧模型中Slc3a2与Inf2的表达显著上调，而Dstn的表达显著下调。本研究证实DSRGs在AMI中存在表达紊乱，并通过机器学习方法筛选得到7个核心基因。此外，本研究基于核心基因构建了诊断模型，为急性心肌梗死的早期诊断提供了全新视角。