Literature DB >> 15334461

Suggestion of nonlinear or phasic progression of knee osteoarthritis based on measurements of serum cartilage oligomeric matrix protein levels over five years.

Mohammed Sharif1, John R Kirwan, Christopher J Elson, Raquel Granell, Shane Clarke.   

Abstract

OBJECTIVE: In many patients with knee osteoarthritis (OA), the disease progresses, and there is loss of cartilage; in others, the disease stabilizes with time. Previous studies have demonstrated that concentrations of serum proteins that reflect joint tissue metabolism can identify knees that will deteriorate, leading to the suggestion that OA disease activity is phasic or cyclical. The aim of the current study was to determine whether longitudinal measurements of one such protein, serum cartilage oligomeric matrix protein (COMP), are related to disease outcome over a 5-year period.
METHODS: Serum COMP levels were measured by enzyme-linked immunosorbent assay at study entry and every 6 months thereafter in 115 patients with knee pain and OA of mainly the tibiofemoral joint. Cartilage loss was determined from knee radiographs taken at entry and at 24, 36, and 60 months. Disease progression was defined as either a reduction in the tibiofemoral joint space width by at least 2 mm or total knee replacement (TKR) in either knee at followup. COMP concentrations at baseline and the area under the curve (AUC) of measurements obtained over 5 years were compared between progressors and nonprogressors by Student's 2-tailed t-test. The patterns and probability of progression according to TKR or > or =2 mm of narrowing of the tibiofemoral joint space were analyzed by logistic regression models.
RESULTS: The mean +/- SD ages of the progressors and nonprogressors were 64.2 +/- 7.8 years and 63.3 +/- 10.6 years, respectively, and the proportion of females was 51% and 56%, respectively. Of the 37 patients whose OA progressed (22 by TKR and 15 by > or =2-mm reduction in tibiofemoral joint space), 13 lost cartilage during the first 2 years, and 18 lost cartilage during the last 2 years. The mean +/- SD serum COMP concentration at baseline was significantly higher in the progressors compared with the nonprogressors (14.12 +/- 3.39 units/liter versus 12.62 +/- 3.25 units/liter; P < 0.036). Serum COMP levels rose significantly after TKR; however, after allowing for the effect of TKR, the AUC/month was significantly higher in the progressors compared with the nonprogressors (12.52 +/- 2.71 versus 10.82 +/- 2.71; P < 0.003). Serum COMP concentrations were higher during periods of radiographic progression and identified periods of progression that were nonlinear. Logistic regression analysis showed that on average, a 1-unit increase in serum COMP levels increased the probability of radiographic progression by 15%.
CONCLUSION: The data suggest that serum COMP is related to progressive joint damage in knee OA. The patterns of progression for the early and late progressors are consistent with the hypothesis that knee OA progression is episodic or phasic. Large between-subject variation precludes the use of individual values to predict progression with confidence. However, sequential measurements of serum COMP levels may identify patients whose OA is likely to progress over the next year or two.

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Year:  2004        PMID: 15334461     DOI: 10.1002/art.20365

Source DB:  PubMed          Journal:  Arthritis Rheum        ISSN: 0004-3591


  41 in total

1.  The prevalence and progression of radiographic knee osteoarthritis over 6 years in a population-based cohort of middle-aged subjects.

Authors:  Jaanika Kumm; Ann Tamm; Mare Lintrop; Agu Tamm
Journal:  Rheumatol Int       Date:  2011-11-16       Impact factor: 2.631

2.  Molecular markers of cartilage breakdown and synovitis at baseline as predictors of structural progression of hip osteoarthritis. The ECHODIAH Cohort.

Authors:  B Mazières; P Garnero; A Guéguen; M Abbal; L Berdah; M Lequesne; M Nguyen; J-P Salles; E Vignon; M Dougados
Journal:  Ann Rheum Dis       Date:  2005-12-01       Impact factor: 19.103

3.  The ratio of type II collagen breakdown to synthesis and its relationship with the progression of knee osteoarthritis.

Authors:  S Cahue; L Sharma; D Dunlop; M Ionescu; J Song; T Lobanok; L King; A Robin Poole
Journal:  Osteoarthritis Cartilage       Date:  2007-03-06       Impact factor: 6.576

4.  Whole-body bone scintigraphy provides a measure of the total-body burden of osteoarthritis for the purpose of systemic biomarker validation.

Authors:  Shelby Addison; R Edward Coleman; Sheng Feng; Gary McDaniel; Virginia Byers Kraus
Journal:  Arthritis Rheum       Date:  2009-11

5.  Longitudinal changes of serum COMP and urinary CTX-II predict X-ray defined knee osteoarthritis severity and stiffness in women.

Authors:  M F Sowers; C A Karvonen-Gutierrez; M Yosef; M Jannausch; Y Jiang; P Garnero; J Jacobson
Journal:  Osteoarthritis Cartilage       Date:  2009-06-21       Impact factor: 6.576

Review 6.  Prognostic biomarkers in osteoarthritis.

Authors:  Mukundan Attur; Svetlana Krasnokutsky-Samuels; Jonathan Samuels; Steven B Abramson
Journal:  Curr Opin Rheumatol       Date:  2013-01       Impact factor: 5.006

7.  Direct in vivo evidence of activated macrophages in human osteoarthritis.

Authors:  V B Kraus; G McDaniel; J L Huebner; T V Stabler; C F Pieper; S W Shipes; N A Petry; P S Low; J Shen; T A McNearney; P Mitchell
Journal:  Osteoarthritis Cartilage       Date:  2016-04-12       Impact factor: 6.576

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.  Change in serum measurements of cartilage oligomeric matrix protein and association with the development and worsening of radiographic hip osteoarthritis.

Authors:  R K Chaganti; A Kelman; L Lui; W Yao; M K Javaid; D Bauer; M Nevitt; N E Lane
Journal:  Osteoarthritis Cartilage       Date:  2007-10-22       Impact factor: 6.576

10.  Cartilage Oligomeric Matrix Protein (COMP): A Biomarker of Arthritis.

Authors:  Susan Tseng; A Hari Reddi; Paul E Di Cesare
Journal:  Biomark Insights       Date:  2009-02-17
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