Department of Cardiology, The First Affiliated Hospital of Guangxi Medical University, Guangxi Cardiovascular Institute, Nanning, Guangxi, China.
Department of Cardiology, The Second Affiliated Hospital Guangxi Medical University, Nanning, Guangxi, China.
Transpl Immunol. 2024 Aug;85:102070. doi: 10.1016/j.trim.2024.102070. Epub 2024 Jun 3.
Acute myocardial infarction (AMI) is a global health problem with high mortality. Early diagnosis can prevent the development of AMI and provide valuable information for subsequent treatment. Angiogenesis has been shown to be a critical factor in the development of infarction and targeting this process may be a potential protective strategy for preventing myocardial injury and improving the prognosis of AMI patients. This study aimed to screen and verify diagnostic markers related to angiogenesis in AMI and to investigate the molecular mechanisms of action associated with AMI in terms of immune cell infiltration.
The GSE66360 and the GSE60993 datasets were both downloaded from the GEO database and were used as the training cohort and the external validation cohort, respectively. Angiogenesis-related genes (ARGs) were downloaded from the MSigDB database. The hub ARGs were identified via LASSO, RF, and SVM-RFE algorithms. ROC curves were used to assess the accuracy of the hub ARGs. The potential mechanisms of the hub ARGs were analyzed by GSEA. The ssGSEA algorithm was used to determine differences in immune cell infiltration and immune function. The CIBERSORT algorithm was used for immune cell infiltration analysis. In addition, we constructed a ceRNA network map of differentially expressed ARGs.
We identified the thrombomodulin (THBD) gene from ARGs as a potential diagnostic marker for AMI based on the LASSO, SVM-RFE, and RF algorithms. THBD was differentially expressed and had a potential diagnostic value (area under the curve [AUC] = 0.931 and 0.765 in the training and testing datasets, respectively). GSEA showed that the MAPK signaling pathway was more enriched in the high-expression group of THBD (P < 0.05). Immune cell infiltration analysis demonstrated that THBD was mainly positively correlated with monocytes (R = 0.48, P = 0.00055) and neutrophils (R = 0.36, P = 0.013). Finally, in the ceRNA regulatory network, THBD was closely associated with 9 miRNAs and 42 lncRNAs involved in AMI.
THBD can be used as a potential diagnostic marker for AMI. This study provides new insights for future AMI diagnosis and molecular mechanism research. Moreover, immune cell infiltration plays an essential role in the occurrence and development of AMI.
急性心肌梗死(AMI)是一个具有高死亡率的全球性健康问题。早期诊断可以防止 AMI 的发展,并为后续治疗提供有价值的信息。血管生成已被证明是梗死发展的关键因素,针对这一过程可能是预防心肌损伤和改善 AMI 患者预后的一种潜在保护策略。本研究旨在筛选和验证与 AMI 相关的血管生成诊断标志物,并研究与免疫细胞浸润相关的 AMI 发生的分子机制。
从 GEO 数据库中下载 GSE66360 和 GSE60993 数据集,分别作为训练队列和外部验证队列。从 MSigDB 数据库中下载血管生成相关基因(ARGs)。使用 LASSO、RF 和 SVM-RFE 算法识别关键 ARGs。ROC 曲线用于评估关键 ARGs 的准确性。通过 GSEA 分析关键 ARGs 的潜在机制。使用 ssGSEA 算法确定免疫细胞浸润和免疫功能的差异。使用 CIBERSORT 算法进行免疫细胞浸润分析。此外,我们构建了差异表达 ARGs 的 ceRNA 网络图谱。
基于 LASSO、SVM-RFE 和 RF 算法,我们从 ARGs 中确定血栓调节蛋白(THBD)基因为 AMI 的潜在诊断标志物。THBD 表达差异且具有潜在的诊断价值(在训练和测试数据集的 AUC 分别为 0.931 和 0.765)。GSEA 显示,MAPK 信号通路在 THBD 高表达组中更为富集(P<0.05)。免疫细胞浸润分析表明,THBD 主要与单核细胞(R=0.48,P=0.00055)和中性粒细胞(R=0.36,P=0.013)呈正相关。最后,在 ceRNA 调控网络中,THBD 与 9 个 miRNA 和 42 个与 AMI 相关的 lncRNA 密切相关。
THBD 可作为 AMI 的潜在诊断标志物。本研究为未来 AMI 的诊断和分子机制研究提供了新的见解。此外,免疫细胞浸润在 AMI 的发生和发展中起着重要作用。