Identification and Clinical Correlation Analysis of IFI44 in Systemic Lupus Erythematosus Combined with Bioinformatics and Immune Infiltration Analysis.
Identification and Clinical Correlation Analysis of IFI44 in Systemic Lupus Erythematosus Combined with Bioinformatics and Immune Infiltration Analysis.
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DOI：
10.2147/jir.s419880
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发表时间：
2023
影响因子：
4.5
通讯作者：
Dang, Jie
中科院分区：
文献类型：
--
作者：
Wang, Yuan;Ma, Chengfeng;Ma, Zhanbing;Yang, Mengyi;Pu, Jing;Ma, Xiuhui;Wu, Xi;Peng, Liang;Huo, Zhenghao;Dang, Jie
系统性红斑狼疮（SLE）是一种慢性自身免疫性疾病，可导致多个器官的系统性损害。本研究旨在通过生物信息学和免疫浸润分析分析IFI44在SLE诊断和病理中的价值和功能。从GEO数据集中获得SLE的GSE49454和GSE65391，并使用R软件识别DEG并研究其功能。 PPI 网络用于识别与 SLE 相关的中心基因。 CIBERSORT 用于评估 SLE 患者和对照组免疫细胞浸润的差异。通过ROC曲线分析评价IFI44对SLE的诊断价值。采用RT-qPCR检测PBMCs中IFI44的表达量，并分析IFI44表达量与SLE相关临床指标的相关性。从 GSE49454 和 GSE65391 数据库中总共鉴定出 65 个 DEG。通过 PPI 分析，发现 IFI44 和 RSAD2 在 SLE 患者中显着异常表达。 SLE患者和对照者的免疫细胞浸润比例存在显着差异。 IFI44表达与活化的DC、单核细胞、PC、中性粒细胞和活化的记忆CD4+T细胞呈正相关，而与M0和CD8+T细胞呈负相关。 SLE患者中IFI44的表达显着升高（P<0.01），尤其是男性患者（P=0.0376）。 ROC曲线分析表明IFI44对SLE具有较高的诊断价值。相关分析表明，IFI44表达与SLE患者的RBC、HGB、HCT、IgA、ESR、UPRO、C3、C4和ENA水平相关。 IFI44可能通过影响SLE患者的免疫微环境在SLE发病机制中发挥作用，因此有可能作为SLE的诊断标志物和治疗靶点。
Systemic lupus erythematosus (SLE) is a chronic autoimmune disease that can cause systemic damage to multiple organs. This study aims to analyze the value and function of IFI44 in the diagnosis and pathology of SLE by bioinformatics and immune infiltration analysis. GSE49454 and GSE65391 of SLE were obtained from the GEO dataset, and R software was employed to identify DEGs and investigate their functions. The PPI network was utilized to identify hub genes associated with SLE. CIBERSORT was used to assess differences in immune cell infiltration in SLE patients and controls. ROC curve analysis was performed to evaluate the diagnostic value of IFI44 in SLE. The expression of IFI44 in PBMCs was detected by RT-qPCR, and the correlation between IFI44 expression and SLE-related clinical indicators was analyzed. A total of 65 DEGs were identified from the GSE49454 and GSE65391 databases. Through PPI analysis, IFI44 and RSAD2 were identified as significantly aberrantly expressed in SLE patients. SLE patients and controls showed a significant difference in the proportion of immune cell infiltration. IFI44 expression was positively correlated with activated DCs, monocytes, PCs, neutrophils, and activated memory CD4+T cells, while negatively correlated with M0 and CD8+T cells. The expression of IFI44 was significantly higher in SLE patients (P<0.01), especially in male patients (P=0.0376). ROC curve analysis demonstrated that IFI44 had a high diagnostic value for SLE. Correlation analysis indicated that IFI44 expression was correlated with levels of RBC, HGB, HCT, IgA, ESR, UPRO, C3, C4, and ENA in SLE patients. IFI44 may play a role in the pathogenesis of SLE by influencing the immune microenvironment of SLE patients, and thus has the potential to serve as a diagnostic marker and therapeutic target for SLE.