Literature DB >> 8619919

Predictors of joint damage in rheumatoid arthritis.

F A Wollheim1.   

Abstract

Rheumatoid arthritis (RA) is the dominant form of destructive chronic arthritis with the potential to cause substantial disability and permanent functional impairment. The final extent and progression rate with time, however, varies markedly. In order to study effects of intervention and to support early aggressive and atoxic therapy in selected cases, predictive disease markers are needed. Recent advances regarding joint tissue composition and pathophysiology have defined a number of biological marker candidates which need to be explored for possible prognostic information. Some markers are characteristic for RA, such as rheumatoid factors and certain autoantibodies, which although they are more prevalent among patients with aggressive disease are not sensitive as predictors in early disease. Genetic susceptibility markers have been claimed to be good predictors of persisting arthritis in early synovitis clinics, but their role as severity markers in established disease is limited. Unspecific markers of inflammation, notably ESR or CRP when persistently elevated, are useful to monitor disease course and newer markers need to document their superiority over these. Another group of markers are attractive because of enriched or exclusive occurrence in joint tissue, and altered metabolism in joint disease. Thus, collagen type III propeptides, hyaluronates, and neopterin originating in the synovium could be useful, and, in particular, hyaluronate levels indeed do provide some predictive information. Highly tissue-specific cartilage metabolites include aggrecan fragments, collagen II fragments, cartilage oligomeric matrix protein (COMP) and the extraarticular cartilage matrix protein (CMP). When used alone or in combination in early disease some information can be obtained which may in the future facilitate prognostication. Bone metabolism can be monitored and there are different markers for synthesis and resorption. Meanwhile, whilst the new markers are essential research tools, their routine clinical usefulness remains to be proven.

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Year:  1996        PMID: 8619919     DOI: 10.1111/j.1699-0463.1996.tb00691.x

Source DB:  PubMed          Journal:  APMIS        ISSN: 0903-4641            Impact factor:   3.205


  7 in total

1.  Early stages of osteoarthritis: the search for sensitive predictors.

Authors:  F A Wollheim
Journal:  Ann Rheum Dis       Date:  2003-11       Impact factor: 19.103

2.  Cartilage oligomeric matrix protein/thrombospondin-5 (COMP/TSP-5) levels do not correlate to functional class in patients with rheumatoid arthritis.

Authors:  Fernanda Duarte Andrade; Ana Lígia Bender; Inês Guimarães da Silveira; Helga Stein; Carlos Alberto von Mühlen; Henrique Luiz Staub
Journal:  Clin Rheumatol       Date:  2009-08-30       Impact factor: 2.980

3.  Experimental arthritis in CC chemokine receptor 2-null mice closely mimics severe human rheumatoid arthritis.

Authors:  Marlon P Quinones; Sunil K Ahuja; Fabio Jimenez; Jason Schaefer; Edgar Garavito; Arun Rao; George Chenaux; Robert L Reddick; William A Kuziel; Seema S Ahuja
Journal:  J Clin Invest       Date:  2004-03       Impact factor: 14.808

Review 4.  Integrins and their ligands in rheumatoid arthritis.

Authors:  Torsten Lowin; Rainer H Straub
Journal:  Arthritis Res Ther       Date:  2011-10-28       Impact factor: 5.156

Review 5.  Dipeptidyl peptidase IV activity and/or structure homologs: contributing factors in the pathogenesis of rheumatoid arthritis?

Authors:  Aleksi Sedo; Jonathan S Duke-Cohan; Eva Balaziova; Liliana R Sedova
Journal:  Arthritis Res Ther       Date:  2005-10-26       Impact factor: 5.156

6.  The effects of laser acupuncture on the modulation of cartilage extracellular matrix macromolecules in rats with adjuvant-induced arthritis.

Authors:  Tien-Chien Pan; Yu-Hsin Tsai; Wen-Chi Chen; Yueh-Ling Hsieh
Journal:  PLoS One       Date:  2019-03-18       Impact factor: 3.240

7.  Role of Serum cartilage oligomeric matrix protein (COMP) in the diagnosis of rheumatoid arthritis (RA): A case-control study.

Authors:  Fengxia Liu; Xijuan Wang; Xude Zhang; Cuiai Ren; Jie Xin
Journal:  J Int Med Res       Date:  2016-05-23       Impact factor: 1.671

  7 in total

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