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Metabolic discrimination of synovial fluid between rheumatoid arthritis and osteoarthritis using gas chromatography/time-of-flight mass spectrometry

  • Sooah Kim
  • , Jiwon Hwang
  • , Jungyeon Kim
  • , Sun Hee Lee
  • , Yu Eun Cheong
  • , Seulkee Lee
  • , Kyoung Heon Kim
  • , Hoon Suk Cha

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

Introduction: Rheumatoid arthritis (RA) and osteoarthritis (OA) are clinicopathologically different. Objectives: We aimed to assess the feasibility of metabolomics in differentiating the metabolite profiles of synovial fluid between RA and OA using gas chromatography/time-of-flight mass spectrometry. Methods: We first compared the global metabolomic changes in the synovial fluid of 19 patients with RA and OA. Partial least squares-discriminant, hierarchical clustering, and univariate analyses were performed to distinguish metabolites of RA and OA. These findings were then validated using synovial fluid samples from another set of 15 patients with RA and OA. Results: We identified 121 metabolites in the synovial fluid of the first 19 samples. The score plot of PLS-DA showed a clear separation between RA and OA. Twenty-eight crucial metabolites, including hypoxanthine, xanthine, adenosine, citrulline, histidine, and tryptophan, were identified to be capable of distinguishing RA metabolism from that of OA; these were found to be associated with purine and amino acid metabolism. Conclusion: Our results demonstrated that metabolite profiling of synovial fluid could clearly discriminate between RA and OA, suggesting that metabolomics may be a feasible tool to assist in the diagnosis and advance the comprehension of pathological processes for diseases.

Original languageEnglish
Article number48
JournalMetabolomics
Volume18
Issue number7
DOIs
Publication statusPublished - Jul 2022

Bibliographical note

Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Gas chromatography–mass spectrometry
  • Metabolite profiling
  • Osteoarthritis
  • Rheumatoid arthritis
  • Synovial fluid

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