Graduate School of Youjiang Medical University for Nationalities, Baise, China.
The Third Hospital of MianYang, Sichuan Mental Health Center, MianYang, China.
Front Immunol. 2022 Oct 21;13:1030976. doi: 10.3389/fimmu.2022.1030976. eCollection 2022.
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.
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).
The intersection of TAA and AAA datasets yielded 82 differentially expressed genes (DEGs). Subsequently, the biomarkers ( and ) 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. However, neither nor was associated with B cell-mediated humoral immunity. expression was correlated with macrophages and with eosinophils. Finally, our retrospective clinical study revealed a hyperinflammatory environment in aortic disease. The WES study identified disease biomarkers and gene variants, some of which may be druggable.
The genes and can be used as common biomarkers in TAA and AAA. Large numbers of innate and adaptive immune cells are infiltrated in AA and are closely linked to the development and progression of AA. Moreover, and are highly correlated with the infiltration of immune cells and may be potential targets of immunotherapeutic drugs. Gene mutation research is a promising direction for the treatment of aortic disease.
主动脉疾病(主动脉瘤(AA)、夹层(AD))是对患者生命的严重威胁。目前对于胸主动脉瘤(TAA)和腹主动脉瘤(AAA)的发展和进展所涉及的分子机制和免疫浸润模式知之甚少,需要进一步研究。
我们从 GEO 数据库下载了 AA(包括 TAA 和 AAA)数据集。使用差异表达分析和两种机器学习算法鉴定 TAA 和 AAA 中的潜在生物标志物。使用 ROC 曲线分析在验证数据集中评估潜在生物标志物的鉴别能力及其诊断准确性。然后进行 GSEA、KEGG、GO 和 DO 分析。此外,使用两种免疫浸润分析算法分析 TAA 和 AAA 中的常见免疫浸润模式。最后,对 78 例 AD 患者进行回顾性临床研究,并对 6 例患者的血清进行全外显子组测序(WES)。
TAA 和 AAA 数据集的交集产生了 82 个差异表达基因(DEG)。随后,通过两种机器学习算法和 ROC 曲线分析筛选获得了生物标志物(和)。DEG 的功能分析表明,炎症和血管生成途径的调节途径显著富集。免疫细胞浸润分析表明,适应性和固有免疫反应与 AA 的进展密切相关。然而,既没有与 B 细胞介导的体液免疫有关,也没有与嗜酸性粒细胞有关。表达与巨噬细胞有关,而与嗜酸性粒细胞有关。最后,我们的回顾性临床研究揭示了主动脉疾病中的高炎症环境。WES 研究确定了疾病生物标志物和基因突变,其中一些可能是可用药的。
基因和可以作为 TAA 和 AAA 的共同生物标志物。大量固有和适应性免疫细胞浸润在 AA 中,并与 AA 的发生和发展密切相关。此外,和与免疫细胞的浸润高度相关,可能是免疫治疗药物的潜在靶点。基因突变研究是治疗主动脉疾病的一个有前途的方向。