Literature DB >> 20858714

Molecular signatures and new candidates to target the pathogenesis of rheumatoid arthritis.

U Ungethuem1, T Haeupl, H Witt, D Koczan, V Krenn, H Huber, T M von Helversen, M Drungowski, C Seyfert, J Zacher, A Pruss, J Neidel, H Lehrach, H J Thiesen, P Ruiz, S Bläss.   

Abstract

Rheumatoid arthritis (RA) is a chronic, inflammatory joint disease of unknown etiology and pronounced interpatient heterogeneity. To characterize RA at the molecular level and to uncover pathomechanisms, we performed genome-wide gene expression analysis. We identified a set of 1,054 genes significantly deregulated in pair-wise comparisons between RA and osteoarthritis (OA) patients, RA and normal donors (ND), or OA and ND. Correlation analysis revealed gene sets regulated identically in all three groups. As a prominent example secreted phosphoprotein 1 (SPP1) was identified to be significantly upregulated in RA compared with both OA and ND. SPP1 expression was found to correlate with genes expressed during an inflammatory response, T-cell activation and apoptosis, suggesting common underlying regulatory networks. A subclassification of RA patients was achieved on the basis of proteoglycan 4 (PRG4) expression, distinguishing PRG4 high and low expressors and reflecting the heterogeneity of the disease. In addition, we found that low PRG4 expression was associated with a more aggressive disease stage, which is in accordance with PRG4 loss-of-function mutations causing camptodactyly-arthropathy-coxa vara-pericarditis syndrome. Altogether we provide evidence for molecular signatures of RA and RA subclasses, sets of new candidate genes as well as for candidate gene networks, which extend our understanding of disease mechanisms and may lead to an improved diagnosis.

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Year:  2010        PMID: 20858714     DOI: 10.1152/physiolgenomics.00004.2010

Source DB:  PubMed          Journal:  Physiol Genomics        ISSN: 1094-8341            Impact factor:   3.107


  52 in total

Review 1.  Understanding Human Autoimmunity and Autoinflammation Through Transcriptomics.

Authors:  Romain Banchereau; Alma-Martina Cepika; Jacques Banchereau; Virginia Pascual
Journal:  Annu Rev Immunol       Date:  2017-01-30       Impact factor: 28.527

2.  A new computational drug repurposing method using established disease-drug pair knowledge.

Authors:  Nafiseh Saberian; Azam Peyvandipour; Michele Donato; Sahar Ansari; Sorin Draghici
Journal:  Bioinformatics       Date:  2019-10-01       Impact factor: 6.937

Review 3.  [Fifteen years of the histopathological synovitis score : Review and further developments of a diagnostic score].

Authors:  V Krenn; G Perino; W Rüther; V T Krenn; M Huber; T Hügle; A Najm; S Müller; F Boettner; F Pessler; W Waldstein; J Kriegsmann; T Häupl; S Wienert; M G Krukemeyer; S Sesselmann; R Tikhilov; L Morawietz
Journal:  Z Rheumatol       Date:  2017-08       Impact factor: 1.372

4.  Reduction of friction by recombinant human proteoglycan 4 in IL-1α stimulated bovine cartilage explants.

Authors:  Katherine M Larson; Ling Zhang; Khaled A Elsaid; Tannin A Schmidt; Braden C Fleming; Gary J Badger; Gregory D Jay
Journal:  J Orthop Res       Date:  2017-03-02       Impact factor: 3.494

5.  Transcriptome comparison of meniscus from patients with and without osteoarthritis.

Authors:  R H Brophy; B Zhang; L Cai; R W Wright; L J Sandell; M F Rai
Journal:  Osteoarthritis Cartilage       Date:  2017-12-16       Impact factor: 6.576

6.  Identification of transcription regulatory relationships in rheumatoid arthritis and osteoarthritis.

Authors:  Guofeng Li; Ning Han; Zengchun Li; Qingyou Lu
Journal:  Clin Rheumatol       Date:  2013-01-08       Impact factor: 2.980

Review 7.  Genomics, transcriptomics and proteomics to elucidate the pathogenesis of rheumatoid arthritis.

Authors:  Xinqiang Song; Qingsong Lin
Journal:  Rheumatol Int       Date:  2017-05-10       Impact factor: 2.631

8.  Human synovial lubricin expresses sialyl Lewis x determinant and has L-selectin ligand activity.

Authors:  Chunsheng Jin; Anna-Karin Hultgård Ekwall; Johan Bylund; Lena Björkman; Ruby P Estrella; John M Whitelock; Thomas Eisler; Maria Bokarewa; Niclas G Karlsson
Journal:  J Biol Chem       Date:  2012-08-28       Impact factor: 5.157

9.  Integrative analysis for identification of shared markers from various functional cells/tissues for rheumatoid arthritis.

Authors:  Wei Xia; Jian Wu; Fei-Yan Deng; Long-Fei Wu; Yong-Hong Zhang; Yu-Fan Guo; Shu-Feng Lei
Journal:  Immunogenetics       Date:  2016-11-03       Impact factor: 2.846

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

Authors:  Runrun Zhang; Xinpeng Zhou; Yehua Jin; Cen Chang; Rongsheng Wang; Jia Liu; Junyu Fan; Dongyi He
Journal:  Clin Rheumatol       Date:  2021-07-05       Impact factor: 2.980

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