Identification of differential key biomarkers in the synovial tissue between rheumatoid arthritis and osteoarthritis using bioinformatics analysis

doi:10.1007/s10067-021-05825-1

. 2021 Dec;40(12):5103-5110.

doi: 10.1007/s10067-021-05825-1. Epub 2021 Jul 5.

Identification of differential key biomarkers in the synovial tissue between rheumatoid arthritis and osteoarthritis using bioinformatics analysis

Runrun Zhang^#^{1

2}, Xinpeng Zhou^#³, Yehua Jin^{1

2}, Cen Chang^{1

2}, Rongsheng Wang², Jia Liu², Junyu Fan², Dongyi He^{4

5

6}

Affiliations

¹ Shanghai University of Traditional Chinese Medicine, Shanghai, 200052, China.
² Department of Rheumatology, Shanghai Guanghua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, 200052, China.
³ The Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250011, Shandong, China.
⁴ Shanghai University of Traditional Chinese Medicine, Shanghai, 200052, China. hedongyi1967@shutcm.edu.cn.
⁵ Department of Rheumatology, Shanghai Guanghua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, 200052, China. hedongyi1967@shutcm.edu.cn.
⁶ Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, 200052, China. hedongyi1967@shutcm.edu.cn.

^# Contributed equally.

PMID: 34224029
DOI: 10.1007/s10067-021-05825-1

Identification of differential key biomarkers in the synovial tissue between rheumatoid arthritis and osteoarthritis using bioinformatics analysis

Runrun Zhang et al. Clin Rheumatol. 2021 Dec.

. 2021 Dec;40(12):5103-5110.

doi: 10.1007/s10067-021-05825-1. Epub 2021 Jul 5.

Authors

Runrun Zhang^#^{1

2}, Xinpeng Zhou^#³, Yehua Jin^{1

2}, Cen Chang^{1

2}, Rongsheng Wang², Jia Liu², Junyu Fan², Dongyi He^{4

5

6}

Affiliations

¹ Shanghai University of Traditional Chinese Medicine, Shanghai, 200052, China.
² Department of Rheumatology, Shanghai Guanghua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, 200052, China.
³ The Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250011, Shandong, China.
⁴ Shanghai University of Traditional Chinese Medicine, Shanghai, 200052, China. hedongyi1967@shutcm.edu.cn.
⁵ Department of Rheumatology, Shanghai Guanghua Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai, 200052, China. hedongyi1967@shutcm.edu.cn.
⁶ Institute of Arthritis Research in Integrative Medicine, Shanghai Academy of Traditional Chinese Medicine, Shanghai, 200052, China. hedongyi1967@shutcm.edu.cn.

^# Contributed equally.

PMID: 34224029
DOI: 10.1007/s10067-021-05825-1

Abstract

Introduction/objectives: Rheumatoid arthritis (RA) and osteoarthritis (OA) are two common joint diseases with similar clinical manifestations. Our study aimed to identify differential gene biomarkers in the synovial tissue between RA and OA using bioinformatics analysis and validation.

Method: GSE36700, GSE1919, GSE12021, GSE55235, GSE55584, and GSE55457 datasets were downloaded from the Gene Expression Omnibus database. A total of 57 RA samples and 46 OA samples were included. The differentially expressed genes (DEGs) were identified. The Gene Ontology (GO) functional enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were also performed. Protein-protein interaction (PPI) network of DEGs and the hub genes were constructed and visualized via Search Tool for the Retrieval of Interacting Genes/Proteins, Cytoscape, and R. Selected hub genes were validated via reverse transcription-polymerase chain reaction.

Results: A total of 41 DEGs were identified. GO functional enrichment analysis showed that DEGs were enriched in immune response, signal transduction, regulation of immune response for biological process, in plasma membrane and extracellular region for cell component, and antigen binding and serine-type endopeptidase activity for molecular function. KEGG pathway analysis showed that DEGs were enriched in cytokine-cytokine receptor interaction and chemokine signaling pathway. PPI network analysis established 70 nodes and 120 edges and 15 hub genes were identified. The expression of CXCL13, CXCL10, and ADIPOQ was statistically different between RA and OA synovial tissue.

Conclusion: Differential expression of CXCL13, CXCL10, and ADIPOQ between RA and OA synovial tissue may provide new insights for understanding the RA development and difference between RA and OA. Key Points • Bioinformatics analysis was used to identify the differentially expressed genes in the synovial tissue between rheumatoid arthritis and osteoarthritis. • CXCL13, CXCL10, and ADIPOQ might provide new insight for understanding the differences between RA and OA.

Keywords: Bioinformatics analysis; Osteoarthritis; Rheumatoid arthritis; Synovial tissue.

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References

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[1] McInnes IB (2011) The pathogenesis of rheumatoid arthritis. N Engl J Med 365:2205–2219. https://doi.org/10.1056/NEJMra1004965 - DOI - PubMed

[2] McInnes IB (2011) The pathogenesis of rheumatoid arthritis. N Engl J Med 365:2205–2219. https://doi.org/10.1056/NEJMra1004965 - DOI - PubMed

[3] Scott DL, Wolfe F, Huizinga TW (2010) Rheumatoid arthritis. 376:1094–1108. https://doi.org/10.1016/S0140-6736(10)60826-4

[4] Scott DL, Wolfe F, Huizinga TW (2010) Rheumatoid arthritis. 376:1094–1108. https://doi.org/10.1016/S0140-6736(10)60826-4

[5] Smolen JS, Aletaha D, Barton A et al (2018) Rheumatoid arthritis. Nat Rev Dis Primer 4:18001. https://doi.org/10.1038/nrdp.2018.1 - DOI

[6] Smolen JS, Aletaha D, Barton A et al (2018) Rheumatoid arthritis. Nat Rev Dis Primer 4:18001. https://doi.org/10.1038/nrdp.2018.1 - DOI

[7] Buckwalter J, Martin J (2006) Osteoarthritis. Adv Drug Deliv Rev 58:150–167. https://doi.org/10.1016/j.addr.2006.01.006 - DOI - PubMed

[8] Buckwalter J, Martin J (2006) Osteoarthritis. Adv Drug Deliv Rev 58:150–167. https://doi.org/10.1016/j.addr.2006.01.006 - DOI - PubMed

[9] Felson DT (2000) Osteoarthritis: new insights. Part 1: the disease and its risk factors. Ann Intern Med 133:635. https://doi.org/10.7326/0003-4819-133-8-200010170-00016 - DOI - PubMed

[10] Felson DT (2000) Osteoarthritis: new insights. Part 1: the disease and its risk factors. Ann Intern Med 133:635. https://doi.org/10.7326/0003-4819-133-8-200010170-00016 - DOI - PubMed

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Identification of differential key biomarkers in the synovial tissue between rheumatoid arthritis and osteoarthritis using bioinformatics analysis

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Identification of differential key biomarkers in the synovial tissue between rheumatoid arthritis and osteoarthritis using bioinformatics analysis

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