■心肌梗死(MI)是一种慢性心血管疾病。这项研究旨在通过生物信息学识别潜在的血管生成和上皮间质转化(EMT)相关基因作为MI诊断的生物标志物。
■所有数据集以及血管生成和EMT相关基因均从公共数据库中收集。获得MI和MI相关基因的差异表达基因(DEGs)。DEGs,MI相关基因,与血管生成和EMT相关基因相交以获得hub基因。功能富集,免疫微环境,和转录因子(TFs)-hub基因调控网络分析。开发并验证了诊断标志物和模型。进行药物预测和分子对接。最后,使用RT-qPCR验证诊断标志物的表达。
■总共224个血管生成和EMT相关基因,2,897度,1,217个MI相关基因,并获得了9个hub基因。浆细胞的免疫浸润水平,T细胞CD4记忆激活,单核细胞,巨噬细胞M0,肥大细胞静息,MI患者的中性粒细胞较高。LRPAP1,COLGALT1,QSOX1,THBD,VCAN,PLOD1和PLAUR作为诊断标志物被鉴定并用于构建诊断模型,这可以很好地区分MI和对照。然后,筛选了9种药物,结合能范围为-7.08至-5.21kcal/mol。RT-qPCR成果显示LRPAP1、PLAUR、MI组PLOD1显著增高。
■7种诊断标记物可能在MI中发挥潜在作用,并可能有助于改善未来的诊断。
UNASSIGNED: Myocardial infarction (MI) is a chronic cardiovascular disease. This study aims to discern potentially angiogenesis- and epithelial mesenchymal transition (EMT)-related genes as biomarkers for MI diagnosis through bioinformatics.
UNASSIGNED: All datasets and angiogenesis- and EMT-related genes were collected from the public database. The differentially expressed genes (DEGs) of MI and MI-related genes were acquired. DEGs, MI-related genes, and angiogenesis- and EMT-related genes were intersected to obtain hub genes. Functional enrichment, immune microenvironment, and transcription factors (TFs)-hub genes regulatory network analysis were performed. The diagnostic markers and models were developed and validated. Drug prediction and molecular docking were performed. Finally, diagnostic markers expressions were validated using RT-qPCR.
UNASSIGNED: A total of 224 angiogenesis- and EMT-related genes, 2,897 DEGs, 1,217 MI-related genes, and 9 hub genes were acquired. The immune infiltration levels of plasma cells, T cells CD4 memory activated, monocytes, macrophages M0, mast cells resting, and neutrophils were higher in patients with MI. LRPAP1, COLGALT1, QSOX1, THBD, VCAN, PLOD1, and PLAUR as the diagnostic markers were identified and used to construct diagnostic models, which can distinguish MI from controls well. Then, 9 drugs were screened, and the binding energies ranged from -7.08 to -5.21 kcal/mol. RT-qPCR results showed that the expression of LRPAP1, PLAUR, and PLOD1 was significantly increased in the MI group.
UNASSIGNED: The 7 diagnostic markers may play potential roles in MI and could contribute to improved future diagnostics.