Chinese Journal of Tissue Engineering Research ›› 2021, Vol. 25 ›› Issue (14): 2183-2191.doi: 10.3969/j.issn.2095-4344.3797

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Immune infiltration mechanism of differential expression genes in rheumatoid arthritis and potential therapeutic prediction of Chinese herbs

Shen Fu1, Kuang Gaoyan2, Yang Zhuo1, Wen Meng1, Zhu Kaimin1, Yu Guizhi1, Xu Wuji3, Deng Bo2    

  1. 1Hunan University of Chinese Medicine, Changsha 410208, Hunan Province, China; 2Department of Orthopedics, First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha 410007, Hunan Province, China; 3Department of Spine, Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha 410005, Hunan Province, China 
  • Received:2020-06-10 Revised:2020-06-13 Accepted:2020-07-29 Online:2021-05-18 Published:2020-12-30
  • Contact: Xu Wuji, MD, Associate chief physician, Department of Spine, Second Affiliated Hospital of Hunan University of Chinese Medicine, Changsha 410005, Hunan Province, China Deng Bo, Associate professor, Master’s supervisor, Department of Orthopedics, First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha 410007, Hunan Province, China
  • About author:Shen Fu, Master candidate, Hunan University of Chinese Medicine, Changsha 410208, Hunan Province, China
  • Supported by:
    the National Key Research & Development Program of China, No. 2018YFC2002500 (to KGY [project participant]); the Natural Science Foundation of Hunan Province, No. 2019JJ50462 (to KGY)

Abstract: BACKGROUND: The pathogenesis of rheumatoid arthritis is not completely clear. Immune imbalance is an important link in the pathogenesis of rheumatoid arthritis, and research on the related regulatory mechanism of immune infiltration in rheumatoid arthritis is less reported. 
OBJECTIVE: to analyze the pathway enrichment and immune infiltration of rheumatoid arthritis gene probe chip data by using GEO gene chip database, and to predict the biological process of immune regulation in rheumatoid arthritis, thereby providing a theoretical basis for understanding the immune mechanism of rheumatoid arthritis and the intervention of traditional Chinese medicine in immune regulation.
METHODS: The GEO gene chip database was searched for synovial tissue-related gene probes of rheumatoid arthritis, and the normal synovial tissue was used as control. Protein-protein interaction network of different genes was analyzed using STRING database, to screen out core target genes. The gene ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) gene pathway enrichment analysis of differential genes related to rheumatoid arthritis was performed using R language and related installation package program. The content and proportion of 22 kinds of immune cells in rheumatoid arthritis group and control group were analyzed by CIBERSORT deconvolution method. Significantly enriched immune-related biological processes and core target genes were predicted using the COREMINE database.
RESULTS AND CONCLUSION: Rheumatoid arthritis-associated protein networks interacted with core target genes involving CDC20, GNB3, QSOX1 and 12 genes associated with chemokines. GO enrichment analysis showed that up-regulated genes were more closely related to immune inflammation. KEGG enrichment analysis showed that immune regulation of rheumatoid arthritis was closely related to chemokine signaling pathway, interleukin-17 related pathway and nuclear factor-κB pathway. Analysis of the infiltration matrix of immune cells showed that the proportion of plasma cells, memory B cells and M0 macrophages in rheumatoid arthritis group increased significantly, while the number of M2 macrophages and resting mast cells was significantly reduced in the synovial tissues of rheumatoid arthritis. Correlation analysis between immune cells indicated that the unactivated natural killer cells of rheumatoid arthritis were positively correlated with neutrophils, and the activated CD4 memory T cells were strongly negatively correlated with activated natural killer cells. Through COREMINE prediction, mulberry leaf, fish brain stone and yam were found to be most closely related to the immune pathways and core target genes associated with rheumatoid arthritis. The mechanism may be related to interference with leukocyte and T cell migration by acting on the target genes, CCR5, CXCL10, CXCR3, and CXCL13. Overall, M2 macrophages and resting mast cells are closely related to rheumatoid arthritis. Rheumatoid arthritis-related differential genes are involved in immune-related biological processes, including neutrophil activation, leukocyte chemotaxis and T cell migration, as well as correlated with chemokine signaling pathways, interleukin-17-related pathway, and nuclear factor-κB-related pathway. Mulberry leaves, fish-brain stones, and yam may be the potential molecular drug sources.

Key words: rheumatoid arthritis, immune infiltration, GEO gene chip database, bioinformatics, CIBERSORT deconvolution, traditional Chinese medicine prediction, signaling pathway, mechanism research

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