Literature DB >> 15237925

Proteome analysis reveals disease-associated marker proteins to differentiate RA patients from other inflammatory joint diseases with the potential to monitor anti-TNFalpha therapy.

Susanne Drynda1, Bruno Ringel, Monika Kekow, Cornelia Kühne, Andreas Drynda, Michael O Glocker, Hans-Jürgen Thiesen, Jörn Kekow.   

Abstract

New experimental approaches of molecular medicine such as transcriptome and proteome analysis have been implemented in rheumatology research. Two-dimensional gel electrophoresis in combination with mass spectrometry was used to visualize and to identify proteins in synovial fluid (SF) and plasma samples from patients with rheumatoid arthritis (RA) and osteoarthritis (OA). The small calcium binding protein S100A9 (MRP14) was identified as a discriminatory marker protein in SF by global proteomic analysis. To confirm these results and to examine the reproducibility and the applicability as a diagnostic marker, levels of the S100A8 (MRP8)/A9 (MRP14) heterocomplex in plasma and in synovial fluid were validated from patients with RA, OA, and other inflammatory joint diseases using enzyme immunoassay techniques. It was found that plasma levels of the S100A8/A9 heterocomplex correlate well with levels in SF, and hence, determination of plasma levels can be used to distinguish RA patients from patients with other inflammatory joint diseases, as well as from OA patients and controls. Initial studies on RA patients also indicate that plasma levels of the S100A8/A9 heterocomplex are a useful marker in monitoring anti TNFalpha therapy.

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Year:  2004        PMID: 15237925     DOI: 10.1016/j.prp.2004.02.011

Source DB:  PubMed          Journal:  Pathol Res Pract        ISSN: 0344-0338            Impact factor:   3.250


  16 in total

Review 1.  [Research strategies towards a holistic characterization of rheumatoid arthritis--a systems biology approach].

Authors:  A Thiel; H-J Thiesen
Journal:  Z Rheumatol       Date:  2005-09       Impact factor: 1.372

2.  Inflammatory response in patients with active and inactive osteoarthritis.

Authors:  Antoaneta Toncheva; Mimi Remichkova; Krassimira Ikonomova; Petya Dimitrova; Nina Ivanovska
Journal:  Rheumatol Int       Date:  2009-01-30       Impact factor: 2.631

Review 3.  Calprotectin in rheumatic diseases.

Authors:  Francesca Ometto; Lara Friso; Davide Astorri; Costantino Botsios; Bernd Raffeiner; Leonardo Punzi; Andrea Doria
Journal:  Exp Biol Med (Maywood)       Date:  2016-01-01

Review 4.  Genetics and proteomics in scleroderma.

Authors:  Carol A Feghali-Bostwick
Journal:  Curr Rheumatol Rep       Date:  2005-04       Impact factor: 4.592

Review 5.  A systems biology approach to synovial joint lubrication in health, injury, and disease.

Authors:  Alexander Y Hui; William J McCarty; Koichi Masuda; Gary S Firestein; Robert L Sah
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2011-08-08

Review 6.  Application of omics in predicting anti-TNF efficacy in rheumatoid arthritis.

Authors:  Xi Xie; Fen Li; Shu Li; Jing Tian; Jin-Wei Chen; Jin-Feng Du; Ni Mao; Jian Chen
Journal:  Clin Rheumatol       Date:  2017-06-10       Impact factor: 2.980

Review 7.  Human body fluid proteome analysis.

Authors:  Shen Hu; Joseph A Loo; David T Wong
Journal:  Proteomics       Date:  2006-12       Impact factor: 3.984

8.  Myeloperoxidase and chlorinated peptides in osteoarthritis: potential biomarkers of the disease.

Authors:  Marla J Steinbeck; Leon J Nesti; Peter F Sharkey; Javad Parvizi
Journal:  J Orthop Res       Date:  2007-09       Impact factor: 3.494

9.  Protein biochip array technology to monitor rituximab in rheumatoid arthritis.

Authors:  S Fabre; C Guisset; L Tatem; N Dossat; A M Dupuy; J D Cohen; J P Cristol; J P Daures; C Jorgensen
Journal:  Clin Exp Immunol       Date:  2009-03       Impact factor: 4.330

10.  Protein biochip array technology for cytokine profiling predicts etanercept responsiveness in rheumatoid arthritis.

Authors:  S Fabre; A M Dupuy; N Dossat; C Guisset; J D Cohen; J P Cristol; J P Daures; C Jorgensen
Journal:  Clin Exp Immunol       Date:  2008-06-18       Impact factor: 4.330

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