Literature DB >> 23232804

Analysis of critical molecules and signaling pathways in osteoarthritis and rheumatoid arthritis.

Feng Xue1, Changqing Zhang, Zhimin He, Liang Ding, Haijun Xiao.   

Abstract

Osteoarthritis (OA) and rheumatoid arthritis (RA) are the most prevalent forms of arthritis in the elderly. This study aimed to explore the molecular mechanisms of these diseases and identify underlying therapeutic targets. Using GSE1919 microarray data sets downloaded from the Gene Expression Omnibus database, we screened differentially expressed genes (DEGs) in OA and RA cells. The underlying molecular mechanisms of these crucial genes were investigated by Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis. Small molecule expression and SNP analysis were also conducted by searching CMap and dbSNP databases. More than 320 genes changed in the arthritic cells and there were only 196 DEGs between OA and RA. OA and RA activated the classic mitogen-activated protein kinase signaling pathway, insulin signaling pathway, antigen processing and presentation and intestinal immune network for IgA production. Graft-versus-host disease and autoimmune thyroid disease-related pathways were also activated in OA and RA. Parthenolide and alsterpaullone may be treatments for OA and RA and insulin-like growth factor 1, collagen α2(I) chain and special AT-rich sequence-binding protein 2 may be critical SNP molecules in arthritis. Our findings shed new light on the common molecular mechanisms of OA and RA and may provide theoretical support for further clinical therapeutic studies.

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Year:  2012        PMID: 23232804     DOI: 10.3892/mmr.2012.1224

Source DB:  PubMed          Journal:  Mol Med Rep        ISSN: 1791-2997            Impact factor:   2.952


  5 in total

1.  Arthritic periosteal tissue from joint replacement surgery: a novel, autologous source of stem cells.

Authors:  Hana Chang; Denitsa Docheva; Ulf R Knothe; Melissa L Knothe Tate
Journal:  Stem Cells Transl Med       Date:  2014-01-29       Impact factor: 6.940

2.  Network Analyses of Differentially Expressed Genes in Osteoarthritis to Identify Hub Genes.

Authors:  Zhaoyan Li; Lei Zhong; Zhenwu Du; Gaoyang Chen; Jing Shang; Qiwei Yang; Qingyu Wang; Yang Song; Guizhen Zhang
Journal:  Biomed Res Int       Date:  2019-04-16       Impact factor: 3.411

3.  Potential biomarkers that discriminate rheumatoid arthritis and osteoarthritis based on the analysis and validation of datasets.

Authors:  Le Kang; Chengqian Dai; Lihong Wang; Xinling Pan
Journal:  BMC Musculoskelet Disord       Date:  2022-04-04       Impact factor: 2.362

4.  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

5.  Cytokine-induced interleukin-1 receptor antagonist protein expression in genetically engineered equine mesenchymal stem cells for osteoarthritis treatment.

Authors:  Simone Gabner; Reinhard Ertl; Karsten Velde; Matthias Renner; Florien Jenner; Monika Egerbacher; Juraj Hlavaty
Journal:  J Gene Med       Date:  2018-04-22       Impact factor: 4.565

  5 in total

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