Common molecular mechanism and immune infiltration patterns of thoracic and abdominal aortic aneurysms

作者：Bin He, Ya Zhan, Chunyu Cai, Dian-You Yu, Qinjiang Wei, Li-Ping Quan, Da Huang, Yan Liu, Zhile Li, Li Liu, Xingshou Pan · 发表于：Frontiers in Immunology · 年份：2022 · DOI：10.3389/fimmu.2022.1030976 · 被引用次数：22 · 研究领域：Aortic aneurysm repair treatments、Connective tissue disorders research、Aortic Disease and Treatment Approaches

Background Aortic disease (aortic aneurysm (AA), dissection (AD)) is a serious threat to patient lives. Little is currently known about the molecular mechanisms and immune infiltration patterns underlying the development and progression of thoracic and abdominal aortic aneurysms (TAA and AAA), warranting further research. Methods We downloaded AA (includes TAA and AAA) datasets from the GEO database. The potential biomarkers in TAA and AAA were identified using differential expression analysis and two machine-learning algorithms. The discrimination power of the potential biomarkers and their diagnostic accuracy was assessed in validation datasets using ROC curve analysis. Then, GSEA, KEGG, GO and DO analyses were conducted. Furthermore, two immuno-infiltration analysis algorithms were utilized to analyze the common immune infiltration patterns in TAA and AAA. Finally, a retrospective clinical study was performed on 78 patients with AD, and the serum from 6 patients was used for whole exome sequencing (WES). Results The intersection of TAA and AAA datasets yielded 82 differentially expressed genes (DEGs). Subsequently, the biomarkers ( CX3CR1 and HBB ) were acquired by screening using two machine-learning algorithms and ROC curve analysis. The functional analysis of DEGs showed significant enrichment in inflammation and regulation of angiogenic pathways. Immune cell infiltration analysis revealed that adaptive and innate immune responses were closely linked to AA progression. ...