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Identification of Lipid Biomarkers for Chronic Joint Pain Associated with Different Joint Diseases
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- Khoury, Spiro (author)
- Univ Poitiers, Lab Lipotox & Channelopathies LiTch ConicMeds, F-86073 Poitiers, France.
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- Colas, Jenny (author)
- Univ Poitiers, Lab Lipotox & Channelopathies LiTch ConicMeds, F-86073 Poitiers, France.;Univ Poitiers, Lab PReTI, F-86073 Poitiers, France.
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- Breuil, Veronique (author)
- Univ Cote Azur UCA, Fac Medecine, UMR E4320 MATOs, CEA iBEB SBTN, F-06107 Nice 2, France.;CHU Nice, Hop Pasteur, Serv Rhumatol, F-06000 Nice, France.
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- Univ Poitiers, Lab Lipotox & Channelopathies LiTch ConicMeds, F-86073 Poitiers, France Univ Poitiers, Lab Lipotox & Channelopathies LiTch ConicMeds, F-86073 Poitiers, France.;Univ Poitiers, Lab PReTI, F-86073 Poitiers, France. (creator_code:org_t)
- 2023-02-09
- 2023
- English.
- In: Biomolecules. - : MDPI. - 2218-273X. ; 13:2
- Journal article (peer-reviewed)
Abstract
Subject headings
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- Lipids, especially lysophosphatidylcholine LPC16:0, have been shown to be involved in chronic joint pain through the activation of acid-sensing ion channels (ASIC3). The aim of the present study was to investigate the lipid contents of the synovial fluids from controls and patients suffering from chronic joint pain in order to identify characteristic lipid signatures associated with specific joint diseases. For this purpose, lipids were extracted from the synovial fluids and analyzed by mass spectrometry. Lipidomic analyses identified certain choline-containing lipid classes and molecular species as biomarkers of chronic joint pain, regardless of the pathology, with significantly higher levels detected in the patient samples. Moreover, correlations were observed between certain lipid levels and the type of joint pathologies. Interestingly, LPC16:0 levels appeared to correlate with the metabolic status of patients while other choline-containing lipids were more specifically associated with the inflammatory state. Overall, these data point at selective lipid species in synovial fluid as being strong predictors of specific joint pathologies which could help in the selection of the most adapted treatment.
Subject headings
- NATURVETENSKAP -- Biologi -- Biokemi och molekylärbiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Biochemistry and Molecular Biology (hsv//eng)
Keyword
- lipidomics
- chronic joint pain
- synovial fluid
- inflammation
- metabolic status
Publication and Content Type
- ref (subject category)
- art (subject category)
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- Khoury, Spiro
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- Ahmed, Aisha S.
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- Marchand, Fabien
- Deval, Emmanuel
- Ferreira, Thierr ...
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- NATURAL SCIENCES
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- Biomolecules
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- Uppsala University
- Karolinska Institutet
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