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Identification of Disease Specific Metabolic Fingerprints in Early Osteoarthritis

REASONS FOR PERFORMING STUDY: Synovial fluid (SF) is located in joint cavities, tendon sheaths and bursae. In joints it comprises a serum filtrate with additional contributions from articular cartilage, synovium and bone. Low molecular weight metabolites represent the end product of the cell regulat...

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Bibliographic Details
Published in:Equine veterinary journal 2015-09, Vol.47 (S48), p.13-13
Main Authors: Peffers, M., Riggs, C., Phelan, M., Clegg, P.
Format: Article
Language:English
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Summary:REASONS FOR PERFORMING STUDY: Synovial fluid (SF) is located in joint cavities, tendon sheaths and bursae. In joints it comprises a serum filtrate with additional contributions from articular cartilage, synovium and bone. Low molecular weight metabolites represent the end product of the cell regulatory processes. Synovial fluid represents a potential source of disease specific metabolites that could aid in the understanding of the pathogenesis of osteoarthritis (OA) and be used in its early diagnosis. OBJECTIVES: We hypothesise that there are different metabolomic profiles that can be identified in early OA SF and some of these metabolites are potential biomarkers. STUDY DESIGN: Cross‐sectional study. METHODS: Synovial fluid was used from the metacarpophalangeal joints of 9 normal and 9 OA Thoroughbred horses following macroscopic, microscopic and synovitis scoring. SF was analysed with Proton (1H)‐nuclear magnetic resonance (NMR) spectroscopy with a 600 MHz Avance III equipped with a cryoprobe and chilled sample‐jet autosampler. The software we use is Topsin 3.1 and IconNMR 4.6.7. The following methods were used in order to identify changes in lipids and small molecules; 1D Nuclear Overhauser Effect, Longitudinal Encode‐decode and Carr‐Purcell‐Meiboom‐Gill. Data analysis was undertaken using unsupervised statistical methods and Ingenuity Pathway Analysis (IPA). RESULTS: The results demonstrated clustering on principle component analysis between normal and OA samples. Seven metabolites were identified as significantly different in OA P
ISSN:0425-1644
2042-3306
DOI:10.1111/evj.12486_28