孟德尔随机化
列线图
免疫系统
腹主动脉瘤
接收机工作特性
医学
优势比
疾病
全基因组关联研究
曲线下面积
免疫学
生物信息学
内科学
生物
基因
动脉瘤
遗传学
基因型
外科
遗传变异
单核苷酸多态性
作者
Chunjiang Liu,Hsin-Che Wu,Kuan Li,Chi Yi-fan,Zhaoying Wu,Chungen Xing
摘要
Abstract Behçet's disease (BD) is a complex autoimmune disorder impacting several organ systems. Although the involvement of abdominal aortic aneurysm (AAA) in BD is rare, it can be associated with severe consequences. In the present study, we identified diagnostic biomarkers in patients with BD having AAA. Mendelian randomization (MR) analysis was initially used to explore the potential causal association between BD and AAA. The Limma package, WGCNA, PPI and machine learning algorithms were employed to identify potential diagnostic genes. A receiver operating characteristic curve (ROC) for the nomogram was constructed to ascertain the diagnostic value of AAA in patients with BD. Finally, immune cell infiltration analyses and single‐sample gene set enrichment analysis (ssGSEA) were conducted. The MR analysis indicated a suggestive association between BD and the risk of AAA (odds ratio [OR]: 1.0384, 95% confidence interval [CI]: 1.0081–1.0696, p = 0.0126). Three hub genes ( CD247 , CD2 and CCR7 ) were identified using the integrated bioinformatics analyses, which were subsequently utilised to construct a nomogram (area under the curve [AUC]: 0.982, 95% CI: 0.944–1.000). Finally, the immune cell infiltration assay revealed that dysregulation immune cells were positively correlated with the three hub genes. Our MR analyses revealed a higher susceptibility of patients with BD to AAA. We used a systematic approach to identify three potential hub genes ( CD247 , CD2 and CCR7 ) and developed a nomogram to assist in the diagnosis of AAA among patients with BD. In addition, immune cell infiltration analysis indicated the dysregulation in immune cell proportions.
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