Urinary Metabolomics as a Potentially Novel Diagnostic and Stratification Tool for Knee Osteoarthritis

UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
Wei Jia, Professor and Co-Director of the UNCG Center for Research Excellence in Bioactive Food Components (Creator)
Institution
The University of North Carolina at Greensboro (UNCG )
Web Site: http://library.uncg.edu/

Abstract: Metabolomics has been used as a tool in disease diagnosis and phenotype prediction. A urinary metabolomic study based on GC–MS in combination with multivariate statistics was used here to classify between knee osteoarthritis (OA) and healthy controls. OPLS-DA of the spectral data showed distinct metabolic profile variations between OA patients and healthy controls and between two OA phenotypes. Differential metabolites reveal up-regulated TCA cycle associated with OA and histamine metabolism disorders accompanied with knee effusion symptoms. This metabolomic method is potentially applicable as a novel strategy for OA diagnosis and patient stratification.

Additional Information

Publication
Metabolomics, 6(1), 109-118
Language: English
Date: 2010
Keywords
metabolomics, osteoarthritis, phenotype, stratification, biomarker, histamine