NFIL3 and its immunoregulatory role in rheumatoid arthritis patients

被引:17
作者
Du, Juping [1 ]
Zheng, Liyuan [1 ]
Chen, Shuaishuai [1 ]
Wang, Na [1 ]
Pu, Xia [1 ]
Yu, Die [1 ]
Yan, Haixi [1 ]
Chen, Jiaxi [1 ]
Wang, Donglian [1 ]
Shen, Bo [1 ]
Li, Jun [1 ]
Pan, Shaobiao [2 ]
机构
[1] Wenzhou Med Univ, Taizhou Hosp Zhejiang Prov, Dept Clin Lab, Linhai, Peoples R China
[2] Wenzhou Med Univ, Taizhou Hosp Zhejiang Prov, Dept Rheumatol & Immunol, Linhai, Peoples R China
基金
中国国家自然科学基金;
关键词
rheumatoid arthritis (RA); NFIL3; immune regulation; GEO; bioinformatics analysis; TRANSCRIPTION FACTOR E4BP4; GLUCOCORTICOID-INDUCED APOPTOSIS; T-CELLS; EXPRESSION;
D O I
10.3389/fimmu.2022.950144
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
Nuclear-factor, interleukin 3 regulated (NFIL3) is an immune regulator that plays an essential role in autoimmune diseases. However, the relationship between rheumatoid arthritis (RA) and NFIL3 remains largely unknown. In this study, we examined NFIL3 expression in RA patients and its potential molecular mechanisms in RA. Increased NFIL3 expression levels were identified in peripheral blood mononuclear cells (PBMCs) from 62 initially diagnosed RA patients and 75 healthy controls (HCs) by quantitative real-time PCR (qRT-PCR). No correlation between NFIL3 and disease activity was observed. In addition, NFIL3 expression was significantly upregulated in RA synovial tissues analyzed in the Gene Expression Omnibus (GEO) dataset (GSE89408). Then, we classified synovial tissues into NFIL3-high (>= 75%) and NFIL3-low (<= 25%) groups according to NFIL3 expression levels. Four hundred five differentially expressed genes (DEGs) between the NFIL3-high and NFIL3-low groups were screened out using the "limma" R package. Enrichment analysis showed that most of the enriched genes were primarily involved in the TNF signaling pathway via NF kappa B, IL-17 signaling pathway, and rheumatoid arthritis pathways. Then, 10 genes (IL6, IL1 beta, CXCL8, CCL2, PTGS2, MMP3, MMP1, FOS, SPP1, and ADIPOQ) were identified as hub genes, and most of them play a key role in RA. Positive correlations between the hub genes and NFIL3 were revealed by qRT-PCR in RA PBMCs. An NFIL3-related protein-protein interaction (PPI) network was constructed using the STRING database, and four clusters (mainly participating in the inflammatory response, lipid metabolism process, extracellular matrix organization, and circadian rhythm) were constructed with MCODE in Cytoscape. Furthermore, 29 DEGs overlapped with RA-related genes from the RADB database and were mainly enriched in IL-17 signaling pathways. Thus, our study revealed the elevated expression of NFIL3 in both RA peripheral blood and synovial tissues, and the high expression of NFIL3 correlated with the abnormal inflammatory cytokines and inflammatory responses, which potentially contributed to RA progression.
引用
收藏
页数:10
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