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.
Original language | English (US) |
---|---|
Pages (from-to) | 109-118 |
Number of pages | 10 |
Journal | Metabolomics |
Volume | 6 |
Issue number | 1 |
DOIs | |
State | Published - Mar 2010 |
Externally published | Yes |
Keywords
- Biomarker
- Histamine
- Metabolomics
- Osteoarthritis
- Phenotype
- Stratification
ASJC Scopus subject areas
- Endocrinology, Diabetes and Metabolism
- Biochemistry
- Clinical Biochemistry