Urinary metabolomics as a potentially novel diagnostic and stratification tool for knee osteoarthritis

Xin Li, Songbing Yang, Yunping Qiu, Tie Zhao, Tianlu Chen, Mingming Su, Lixi Chu, Aiping Lv, Ping Liu, Wei Jia

Research output: Contribution to journalArticle

30 Scopus citations

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 languageEnglish (US)
Pages (from-to)109-118
Number of pages10
JournalMetabolomics
Volume6
Issue number1
DOIs
StatePublished - Mar 1 2010

Keywords

  • Biomarker
  • Histamine
  • Metabolomics
  • Osteoarthritis
  • Phenotype
  • Stratification

ASJC Scopus subject areas

  • Endocrinology, Diabetes and Metabolism
  • Biochemistry
  • Clinical Biochemistry

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