Zhang Lin, Li Que, Zhou Chenxing, Zhang Zhanman, Zhang Jiangfeng, Qin Xiao
The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, PR China.
Heliyon. 2023 Jul 13;9(7):e18037. doi: 10.1016/j.heliyon.2023.e18037. eCollection 2023 Jul.
The abdominal aortic aneurysm (AAA) incidence is closely related to systemic lupus erythematosus (SLE). However, the common mechanisms between AAA and SLE are still unknown. The purpose of this research was to examine the main molecules and pathways involved in the immunization process that lead to the co-occurrence of AAA and SLE through the utilization of quantitative bioinformatics analysis of publicly available RNA sequencing databases. Moreover, routine blood test information was gathered from 460 patients to validate the findings.
Datasets of both AAA (GSE57691 and GSE205071) and SLE (GSE50772 and GSE154851) were downloaded from the Gene Expression Omnibus (GEO) database, and differentially expressed genes (DEGs) were analyzed using bioinformatic tools. To determine the functions of the common differentially expressed genes (DEGs), Gene Ontology (GO) and Kyoto Encyclopedia analyses were conducted. Subsequently, the hub gene was identified through cytoHubba, and its validation was carried out in GSE47472 for AAA and GSE81622 for SLE. Immune cell infiltration analysis was performed to identify the key immune cells correlated with AAA and SLE, and to evaluate the correlation between key immune cells and the hub gene. Subsequently, the routine blood test data of 460 patients were collected, and the result of the immune cell infiltration analysis was further validated by univariate and multivariate logistic regression analysis.
A total of 25 common DEGs were obtained, and three genes were screened by cytoHubba algorithms. Upon validation of the datasets, CXCL1 emerged as the hub gene with strong predictive capabilities, as evidenced by an area under the curve (AUC) > 0.7 for both AAA and SLE. The infiltration of immune cells was also validated, revealing a significant upregulation of neutrophils in the AAA and SLE datasets, along with a correlation between neutrophil infiltration and CXCL1 upregulation. Clinical data analysis revealed a significant increase in neutrophils in both AAA and SLE patients ( < 0.05). Neutrophils were found to be an independent factor in the diagnosis of AAA and SLE, exhibiting good diagnostic accuracy with AUC >0.7.
This study elucidates CXCL1 as a hub gene for the co-occurrence of AAA and SLE. Neutrophil infiltration plays a central role in the development of AAA and SLE and may serve to be a potential diagnostic and therapeutic target.
腹主动脉瘤(AAA)的发病率与系统性红斑狼疮(SLE)密切相关。然而,AAA与SLE之间的共同机制仍不清楚。本研究的目的是通过对公开可用的RNA测序数据库进行定量生物信息学分析,研究导致AAA和SLE同时发生的免疫过程中涉及的主要分子和途径。此外,收集了460例患者的常规血液检查信息以验证研究结果。
从基因表达综合数据库(GEO)下载AAA(GSE57691和GSE205071)和SLE(GSE50772和GSE154851)的数据集,并使用生物信息学工具分析差异表达基因(DEG)。为了确定共同差异表达基因(DEG)的功能,进行了基因本体论(GO)和京都基因与基因组百科全书分析。随后,通过cytoHubba鉴定枢纽基因,并在AAA的GSE47472和SLE的GSE81622中进行验证。进行免疫细胞浸润分析以确定与AAA和SLE相关的关键免疫细胞,并评估关键免疫细胞与枢纽基因之间的相关性。随后,收集460例患者的常规血液检查数据,并通过单因素和多因素逻辑回归分析进一步验证免疫细胞浸润分析的结果。
共获得25个共同的DEG,通过cytoHubba算法筛选出3个基因。在对数据集进行验证后,CXCL1成为具有强大预测能力的枢纽基因,AAA和SLE的曲线下面积(AUC)均>0.7证明了这一点。免疫细胞浸润也得到了验证,显示AAA和SLE数据集中中性粒细胞显著上调,并且中性粒细胞浸润与CXCL1上调之间存在相关性。临床数据分析显示,AAA和SLE患者的中性粒细胞均显著增加(<0.05)。发现中性粒细胞是AAA和SLE诊断的独立因素,AUC>0.7显示出良好的诊断准确性。
本研究阐明CXCL1是AAA和SLE同时发生的枢纽基因。中性粒细胞浸润在AAA和SLE的发展中起核心作用,可能是潜在的诊断和治疗靶点。