Identification of key genes and imbalance of immune cell infiltration in immunoglobulin A associated vasculitis nephritis by integrated bioinformatic analysis

被引:3
|
作者
Jia, Xianxian [1 ]
Zhu, Hua [1 ]
Jiang, Qinglian [1 ,2 ]
Gu, Jia [1 ]
Yu, Shihan [1 ]
Chi, Xuyang [1 ]
Wang, Rui [1 ]
Shan, Yu [3 ]
Jiang, Hong [1 ]
Ma, Xiaoxue [1 ,4 ]
机构
[1] China Med Univ, Dept Pediat, Hosp 1, Shenyang, Peoples R China
[2] Zhongshan City Peoples Hosp, Dept Gen Pediat, Guangzhou, Peoples R China
[3] Univ Occupat & Environm Hlth, Sch Med, Dept Internal Med 1, Kitakyushu, Japan
[4] Dalhousie Univ, Dept Microbiol & Immunol & Pediat, Halifax, NS, Canada
来源
FRONTIERS IN IMMUNOLOGY | 2023年 / 14卷
基金
中国国家自然科学基金;
关键词
immunoglobulin A associated vasculitis nephritis; bioinformatics analysis; differentially expressed genes; hub genes; immune infiltration; HENOCH-SCHONLEIN PURPURA; DIFFERENTIAL EXPRESSION ANALYSIS; T-CELLS; PATHWAYS; CHILDREN; NETWORKS; PACKAGE; IGA;
D O I
10.3389/fimmu.2023.1087293
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
BackgroundIgAV, the most common systemic vasculitis in childhood, is an immunoglobulin A-associated immune complex-mediated disease and its underlying molecular mechanisms are not fully understood. This study attempted to identify differentially expressed genes (DEGs) and find dysregulated immune cell types in IgAV to find the underlying pathogenesis for IgAVN. MethodsGSE102114 datasets were obtained from the Gene Expression Omnibus (GEO) database to identify DEGs. Then, the protein-protein interaction (PPI) network of the DEGs was constructed using the STRING database. And key hub genes were identified by cytoHubba plug-in, performed functional enrichment analyses and followed by verification using PCR based on patient samples. Finally, the abundance of 24 immune cells were detected by Immune Cell Abundance Identifier (ImmuCellAI) to estimate the proportions and dysregulation of immune cell types within IgAVN. ResultA total of 4200 DEGs were screened in IgAVN patients compared to Health Donor, including 2004 upregulated and 2196 downregulated genes. Of the top 10 hub genes from PPI network, STAT1, TLR4, PTEN, UBB, HSPA8, ATP5B, UBA52, and CDC42 were verified significantly upregulated in more patients. Enrichment analyses indicated that hub genes were primarily enriched in Toll-like receptor (TLR) signaling pathway, nucleotide oligomerization domain (NOD)-like receptor signaling pathway, and Th17 signaling pathways. Moreover, we found a diversity of immune cells in IgAVN, consisting mainly of T cells. Finally, this study suggests that the overdifferentiation of Th2 cells, Th17 cells and Tfh cells may be involved in the occurrence and development of IgAVN. ConclusionWe screened out the key genes, pathways and maladjusted immune cells and associated with the pathogenesis of IgAVN. The unique characteristics of IgAV-infiltrating immune cell subsets were confirmed, providing new insights for future molecular targeted therapy and a direction for immunological research on IgAVN.
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页数:10
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