, Volume 6, Issue 1, pp 109–118 | Cite as

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 JiaEmail author
Original Article


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.


Metabolomics Osteoarthritis Phenotype Stratification Biomarker Histamine 



Body mass index


Cyclooxygenase 2


Citrate synthase


Gas chromatography–mass spectrometry


Human articular chondrocytes


Histidine decarboxylase




Mast cells


Magnetic resonance imaging


Nuclear magnetic resonance


Nonsteroidal anti-inflammatory drugs




Orthogonal partial least squares projection to latent structure-discriminant analysis


Principle component analysis


Tricarboxylic acid


Total ion current


Variable importance in the projection



This work was mainly supported by research grant from a National Basic Research Program of China (Program 973, Project Number 2007CB914700) and Research Grant No. 2006DFA02700 and partly supported by E-institutes of Shanghai Municipal Education Commission, Project Number E03008. The authors would especially like to thank all the study participants who made this research possible.


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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Xin Li
    • 1
  • Songbing Yang
    • 2
  • Yunping Qiu
    • 1
  • Tie Zhao
    • 1
  • Tianlu Chen
    • 1
  • Mingming Su
    • 1
  • Lixi Chu
    • 3
  • Aiping Lv
    • 4
  • Ping Liu
    • 4
  • Wei Jia
    • 1
    • 5
    Email author
  1. 1.School of PharmacyShanghai Jiao Tong UniversityShanghaiPeople’s Republic of China
  2. 2.School of Acupuncture and ManipulationShanghai University of Traditional Chinese MedicineShanghaiPeople’s Republic of China
  3. 3.Department of Orthopaedics and TraumatologyYueyang Hospital of Integrated Chinese and Western Medicine Affiliated to Shanghai University of Traditional Chinese MedicineShanghaiPeople’s Republic of China
  4. 4.E-Institute of Chinese Traditional Internal Medicine, Shanghai Municipal Education CommissionShanghai University of Traditional Chinese MedicineShanghaiPeople’s Republic of China
  5. 5.Department of NutritionUniversity of North Carolina at GreensboroKannapolisUSA

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