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The potential role of chemotaxis and the complement system in the formation and progression of thoracic aortic aneurysms inferred from the weighted gene coexpression network analysis

机译:趋化性和补体系统在加权基因共抑制网络分析中推断的胸主动脉瘤的形成和进展中的潜在作用

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Thoracic aortic aneurysm (TAA) can be life-threatening due to the progressive weakening and dilatation of the aortic wall. Once the aortic wall has ruptured, no effective pharmaceutical therapies are available. However, studies on TAA at the gene expression level are limited. Our study aimed to identify the driver genes and critical pathways of TAA through gene coexpression networks. We analyzed the genetic data of TAA patients from a public database by weighted gene coexpression network analysis (WGCNA). Modules with clinical significance were identified, and the differentially expressed genes (DEGs) were intersected with the genes in these modules. Gene Ontology and pathway enrichment analyses were performed. Finally, hub genes that might be driving factors of TAA were identified. Furthermore, we evaluated the diagnostic accuracy of these genes and analyzed the composition of immune cells using the CIBERSORT algorithm. We identified 256 DEGs and two modules with clinical significance. The immune response, including leukocyte adhesion, mononuclear cell proliferation and T cell activation, was identified by functional enrichment analysis. CX3CR1, C3, and C3AR1 were the top 3 hub genes in the module correlated with TAA, and the areas under the curve (AUCs) by receiver operating characteristic (ROC) analysis of all the hub genes exceeded 0.7. Finally, we found that the proportions of infiltrating immune cells in TAA and normal tissues were different, especially in terms of macrophages and natural killer (NK) cells. Chemotaxis and the complement system were identified as crucial pathways in TAA, and macrophages with interactive immune cells may regulate this pathological process.
机译:由于主动脉墙的渐进弱化和扩张,胸主动脉瘤(TAA)可能是危及生命的危及墙体。一旦主动脉墙破裂,就没有有效的药物疗法。然而,对基因表达水平的TAA的研究有限。我们的研究旨在通过基因共存网络识别TAA的驾驶基因和关键途径。通过加权基因共存网络分析(WGCNA)分析了来自公共数据库的Taa患者的遗传数据。鉴定具有临床意义的模块,并且将差异表达的基因(DEGS)与这些模块中的基因交叉。进行基因本体和途径富集分析。最后,确定了可能是TAA推动因子的轮毂基因。此外,我们评估了这些基因的诊断准确性,并使用Cibersort算法分析了免疫细胞的组成。我们确定了256点和两个模块,具有临床意义。通过功能性富集分析鉴定了免疫应答,包括白细胞粘附,单核细胞增殖和T细胞活化。 CX3CR1,C3和C3AR1是与TAA相关的模块中的前3个轮毂基因,并且通过接收器的曲线(AUC)下的区域通过所有轮毂基因的操作特征(ROC)分析超过0.7。最后,我们发现TAA和正常组织中浸润的免疫细胞的比例不同,特别是在巨噬细胞和天然杀伤(NK)细胞方面。趋化性和补体系统被鉴定为TAA的关键途径,巨噬细胞与交互式免疫细胞可能调节这种病理过程。

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