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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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Published in: | Equine veterinary journal 2015-09, Vol.47 (S48), p.13-13 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that cite this one |
Online Access: | Get full text |
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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 |
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ISSN: | 0425-1644 2042-3306 |
DOI: | 10.1111/evj.12486_28 |