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Home/Equine Research Bank/J Proteome Res/Synovial Fluid Metabolites Differentiate between Septic and ...
Journal of proteome research2018; 17(8); 2735-2743; doi: 10.1021/acs.jproteome.8b00190

Synovial Fluid Metabolites Differentiate between Septic and Nonseptic Joint Pathologies.

Abstract: Osteoarthritis (OA), osteochondrosis (OC), and synovial sepsis in horses cause loss of function and pain. Reliable biomarkers are required to achieve accurate and rapid diagnosis, with synovial fluid (SF) holding a unique source of biochemical information. Nuclear magnetic resonance (NMR) spectroscopy allows global metabolite analysis of a small volume of SF, with minimal sample preprocessing using a noninvasive and nondestructive method. Equine SF metabolic profiles from both nonseptic joints (OA and OC) and septic joints were analyzed using 1D H NMR spectroscopy. Univariate and multivariate statistical analyses were used to identify differential metabolite abundance between groups. Metabolites were annotated via H NMR using 1D NMR identification software Chenomx, with identities confirmed using 1D H and 2D H C NMR. Multivariate analysis identified separation between septic and nonseptic groups. Acetate, alanine, citrate, creatine phosphate, creatinine, glucose, glutamate, glutamine, glycine, phenylalanine, pyruvate, and valine were higher in the nonseptic group, while glycylproline was higher in sepsis. Multivariate separation was primarily driven by glucose; however, partial-least-squares discriminant analysis plots with glucose excluded demonstrated the remaining metabolites were still able to discriminate the groups. This study demonstrates that a panel of synovial metabolites can distinguish between septic and nonseptic equine SF, with glucose the principal discriminator.
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Publication Date: 2018-07-20 PubMed ID: 29969035PubMed Central: PMC6092013DOI: 10.1021/acs.jproteome.8b00190Google Scholar: Lookup
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Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

The study investigates how certain biochemical compounds in the synovial fluid (the fluid in the joints) of horses can be used to differentiate between septic and non-septic joint diseases. The researchers found that glucose was the main distinguishing factor, although other compounds also played a role in distinguishing between the disease types.

Study Methodology

  • The study focused on two types of nonseptic joint disorders, osteoarthritis (OA) and osteochondrosis (OC), and one septic joint disease, synovial sepsis.
  • Joint fluid samples were collected from horses suffering from these conditions. The fluid was then analysed using a technique called Nuclear Magnetic Resonance (NMR) Spectroscopy, which can provide a comprehensive analysis of the biochemical compounds present in a sample.
  • The researchers used both univariate and multivariate statistical analyses to discern differences in biochemical compound levels between the samples from septic and nonseptic joints.
  • The metabolites identified were verified using additional methods involving NMR technology.

Findings

  • The multiple variable analysis showed a clear difference between the samples taken from the septic and nonseptic joints.
  • In the nonseptic joint fluid samples, the levels of several compounds, such as acetate, alanine, citrate, creatine phosphate, creatinine, glucose, glutamate, glutamine, glycine, phenylalanine, pyruvate, and valine, were found to be higher.
  • On the other hand, the level of a compound known as glycylproline was higher in the septic joint samples.
  • Although the main distinguishing compound was glucose, the researchers found that, even when glucose was excluded, the rest of the compounds could still be used to tell the difference between the two types of joint diseases.

Implications

  • The findings of the study suggest that analysing the biochemical profile of synovial fluid can be a useful way to accurately diagnose whether a joint disease in horses is septic or nonseptic.
  • While glucose was found to be the primary distinguishing factor, the study suggests that a combination of compounds also plays a role, opening the possibility that a comprehensive metabolic profile could be a reliable biomarker for these conditions.

Cite This Article

APA
Anderson JR, Phelan MM, Clegg PD, Peffers MJ, Rubio-Martinez LM. (2018). Synovial Fluid Metabolites Differentiate between Septic and Nonseptic Joint Pathologies. J Proteome Res, 17(8), 2735-2743. https://doi.org/10.1021/acs.jproteome.8b00190

Publication

Journal of proteome research
ISSN: 1535-3907
NlmUniqueID: 101128775
Country: United States
Language: English
Volume: 17
Issue: 8
Pages: 2735-2743

Researcher Affiliations

Anderson, James R
  • Institute of Ageing and Chronic Disease , University of Liverpool , Liverpool L7 8TX , U.K.
Phelan, Marie M
  • Institute of Integrative Biology , University of Liverpool , Liverpool L69 7ZB , U.K.
  • HLS Technology Directorate , University of Liverpool , Liverpool L69 3GB , U.K.
Clegg, Peter D
  • Institute of Ageing and Chronic Disease , University of Liverpool , Liverpool L7 8TX , U.K.
Peffers, Mandy J
  • Institute of Ageing and Chronic Disease , University of Liverpool , Liverpool L7 8TX , U.K.
Rubio-Martinez, Luis M
  • Institute of Veterinary Science , University of Liverpool , Leahurst Campus , Neson CH64 7TE , U.K.

MeSH Terms

  • Animals
  • Glucose / analysis
  • Horses
  • Joint Diseases / diagnosis
  • Joint Diseases / metabolism
  • Magnetic Resonance Spectroscopy / methods
  • Metabolomics / methods
  • Osteoarthritis / diagnosis
  • Osteoarthritis / metabolism
  • Osteochondrosis / diagnosis
  • Osteochondrosis / metabolism
  • Sepsis / diagnosis
  • Sepsis / metabolism
  • Synovial Fluid / metabolism

Grant Funding

  • Wellcome Trust
  • MR/M009114/1 / Medical Research Council
  • MR/P020941/1 / Medical Research Council

Conflict of Interest Statement

The authors declare no competing financial interest.

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This article has been cited 15 times.
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