Journal
JOURNAL OF ORTHOPAEDIC RESEARCH
Volume 37, Issue 1, Pages 131-135Publisher
WILEY
DOI: 10.1002/jor.24158
Keywords
hip osteoarthritis; proteomics; extracellular matrix; mass spectrometry
Categories
Funding
- Crafoord Foundation
- Swedish Research Council [2014-3303]
- Swedish Medical Research Council
- Swedish Rheumatism Association
- Governmental funding of clinical research within the NHS (National Health Services)
- Skane University Hospital Funds
- Skane county Council's Research, and Development Foundation
- Stiftelsen for bistand at rorelsehindrade i Skane
- King Gustaf V:s and Queen Victorias Freemason Foundation
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Osteoarthritis (OA) is a common chronic disease, causing joint pain and reduced physical function. OA progresses slowly over a period of several years; to avoid an exacerbation of symptoms, it is critical to able to diagnose the disease as early as possible. The identification of disease-specific biomarkers may enable such an early diagnosis. The aim of this study was to investigate potential biomarkers of cartilage metabolism in OA using a targeted multiplex approach by single reaction monitoring. Intact looking cartilage of femoral heads from patients with OA (n=9) or femoral neck fractures (n=12) was examined. Variations and relative quantifications of 35 selected extracellular matrix (ECM) proteins were analyzed using nano-LC coupled to tandem mass spectrometry. Our study showed statistically significantly increased levels of asporin (ASPN), mimecan (MIME), matrilin-3 (MATN3), cartilage intermediate layer protein 2 (CILP-2), collagen VI, collagen II, and collagen III N-propeptide in OA cartilage compared with non-OA cartilage. The other proteins in the protein panel did not appear to be different between the two groups. In conclusion, we identified a number of cartilage matrix proteins which may represent early molecular changes in the OA process and may have potential to predict the development of OA. (c) 2018 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res
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