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Applications of proteomics to osteoarthritis, a musculoskeletal disease characterized by aging.

Mobasheri, A (2011) Applications of proteomics to osteoarthritis, a musculoskeletal disease characterized by aging. Front Physiol, 2, 108.

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Abstract

The incidence of age-related musculoskeletal impairment is steadily rising throughout the world. Musculoskeletal conditions are closely linked with aging and inflammation. They are leading causes of morbidity and disability in man and beast. Aging is a major contributor to musculoskeletal degeneration and the development of osteoarthritis (OA). OA is a degenerative disease that involves structural changes to joint tissues including synovial inflammation, catabolic destruction of articular cartilage and alterations in subchondral bone. Cartilage degradation and structural changes in subchondral bone result in the production of fragments of extracellular matrix molecules. Some of these biochemical markers or "biomarkers" can be detected in blood, serum, synovial fluid, and urine and may be useful markers of disease progression. The ability to detect biomarkers of cartilage degradation in body fluids may enable clinicians to diagnose sub-clinical OA as well as determining the course of disease progression. New biomarkers that indicate early responses of the joint cartilage to degeneration will be useful in detecting early, pre-radiographic changes. Systems biology is increasingly applied in basic cartilage biology and OA research. Proteomic techniques have the potential to improve our understanding of OA physiopathology and its underlying mechanisms. Proteomics can also facilitate the discovery of disease-specific biomarkers and help identify new therapeutic targets. Proteomic studies of cartilage and other joint tissues may be particularly relevant in diagnostic orthopedics and therapeutic research. This perspective article discusses the relevance and potential of proteomics for studying age-related musculoskeletal diseases such as OA and reviews the contributions of key investigators in the field.

Item Type: Article
Divisions : Faculty of Health and Medical Sciences > School of Veterinary Medicine
Authors :
AuthorsEmailORCID
Mobasheri, AUNSPECIFIEDUNSPECIFIED
Date : December 2011
Identification Number : 10.3389/fphys.2011.00108
Uncontrolled Keywords : musculoskeletal aging, osteoarthritis, proteomics
Related URLs :
Additional Information : This Document is Protected by copyright and was first published by Frontiers. All rights reserved. it is reproduced with permission.
Depositing User : Symplectic Elements
Date Deposited : 07 Oct 2015 17:32
Last Modified : 07 Oct 2015 17:32
URI: http://epubs.surrey.ac.uk/id/eprint/808695

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