Literature DB >> 36247278

Identification and validation of potential hub genes in rheumatoid arthritis by bioinformatics analysis.

Xinling He1, Ji Yin1, Mingfang Yu1,2, Jiao Qiu1, Aiyang Wang1, Haoyu Wang1, Xueyi He1, Xiao Wu1.   

Abstract

OBJECTIVE: Rheumatoid arthritis (RA) is considered to be a chronic immune disease pathologically characterized by synovial inflammation and bone destruction. At present, the potential pathogenesis of RA is still unclear. Hub genes are recognized to play a pivotal role in the occurrence and progression of RA.
METHODS: Firstly, we attempted to screen hub genes that are associated with RA, to clarify the underlying pathological mechanisms of RA, and to offer potential treatment methods for RA. We acquired these datasets (GSE12021, GSE55235, and GSE55457) of RA patients and healthy samples from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were recognized via R software. Then, Gene ontology (GO) functional analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis were utilized to deeply explore the underlying biological functions and pathways closely associated with RA. In addition, a protein-protein interaction (PPI) network was built to further evaluate and screen for hub genes. Finally, on the basis of the results of PPI analysis, we confirmed the mRNA expression levels of five hub genes in the synovial tissue of rats modeled with RA.
RESULTS: In the human microarray datasets, LCK, JAK2, SOCS3, STAT1, and EGFR were identified as hub genes associated with RA by bioinformatics analysis. Furthermore, we verified the differential expression levels of hub genes in rat synovial tissues via qRT-PCR (P < 0.05).
CONCLUSIONS: Our findings suggest that the hub genes LCK, JAK2, SOCS3, STAT1, and EGFR might have vital roles in the progression of RA and may offer novel therapeutic treatments for RA. AJTR
Copyright © 2022.

Entities:  

Keywords:  Rheumatoid arthritis; bioinformatics; hub gene; protein-protein interaction network; synovial tissue

Year:  2022        PMID: 36247278      PMCID: PMC9556438     

Source DB:  PubMed          Journal:  Am J Transl Res        ISSN: 1943-8141            Impact factor:   3.940


  53 in total

1.  MicroRNA let-7g-5p alleviates murine collagen-induced arthritis by inhibiting Th17 cell differentiation.

Authors:  Pei Yang; Mingfei Zhang; Xiang Wang; A-Lan Xu; Meiyu Shen; Baoping Jiang; Xueping Zhou; Lingling Zhou
Journal:  Biochem Pharmacol       Date:  2020-01-25       Impact factor: 5.858

2.  SOCS-3 negatively regulates innate and adaptive immune mechanisms in acute IL-1-dependent inflammatory arthritis.

Authors:  Peter K K Wong; Paul J Egan; Ben A Croker; Kristy O'Donnell; Natalie A Sims; Sarah Drake; Hiu Kiu; Edward J McManus; Warren S Alexander; Andrew W Roberts; Ian P Wicks
Journal:  J Clin Invest       Date:  2006-05-18       Impact factor: 14.808

3.  Effects of Atractylodes Oil on Inflammatory Response and Serum Metabolites in Adjuvant Arthritis Rats.

Authors:  Qu Linghang; Xu Yiyi; Cao Guosheng; Xu Kang; Tu Jiyuan; Lin Xiong; Wang Guangzhong; Li Shuiqing; Liu Yanju
Journal:  Biomed Pharmacother       Date:  2020-04-11       Impact factor: 6.529

Review 4.  The role of JAK-STAT signaling pathway and its regulators in the fate of T helper cells.

Authors:  Farhad Seif; Majid Khoshmirsafa; Hossein Aazami; Monireh Mohsenzadegan; Gholamreza Sedighi; Mohammadali Bahar
Journal:  Cell Commun Signal       Date:  2017-06-21       Impact factor: 5.712

5.  Matrine induces the apoptosis of fibroblast-like synoviocytes derived from rats with collagen-induced arthritis by suppressing the activation of the JAK/STAT signaling pathway.

Authors:  Yongsheng Yang; Qiumei Dong; Rongheng Li
Journal:  Int J Mol Med       Date:  2016-12-29       Impact factor: 4.101

6.  Identification of novel biomarkers and candidate small molecule drugs in rheumatoid arthritis and osteoarthritis based on bioinformatics analysis of high-throughput data.

Authors:  Bin Zuo; JunFeng Zhu; Yun Shen; XiaoDong Chen; Fei Xiao; ChengLong Wang
Journal:  Biosci Rep       Date:  2020-12-23       Impact factor: 3.840

7.  Identification of rheumatoid arthritis and osteoarthritis patients by transcriptome-based rule set generation.

Authors:  Dirk Woetzel; Rene Huber; Peter Kupfer; Dirk Pohlers; Michael Pfaff; Dominik Driesch; Thomas Häupl; Dirk Koczan; Peter Stiehl; Reinhard Guthke; Raimund W Kinne
Journal:  Arthritis Res Ther       Date:  2014-04-01       Impact factor: 5.156

8.  Nyctanthes arbor-tristis Ameliorated FCA-Induced Experimental Arthritis: A Comparative Study among Different Extracts.

Authors:  Maliha Uroos; Zaigham Abbas; Shumaila Sattar; Nigarish Umer; Arham Shabbir; Ahsan Sharif
Journal:  Evid Based Complement Alternat Med       Date:  2017-06-06       Impact factor: 2.629

9.  Network and pathway-based analyses of genes associated with osteoporosis.

Authors:  Huijie Gu; Zhongyue Huang; Guangnan Chen; Kaifeng Zhou; Yiming Zhang; Jiong Chen; Jun Xu; Xiaofan Yin
Journal:  Medicine (Baltimore)       Date:  2020-02       Impact factor: 1.817

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