Identification of Lipid Biomarkers for Chronic Joint Pain Associated with Different Joint Diseases

Author:

Khoury Spiro1ORCID,Colas Jenny12,Breuil Véronique34ORCID,Kosek Eva56,Ahmed Aisha S.7,Svensson Camilla I.8,Marchand Fabien9,Deval Emmanuel10,Ferreira Thierry12

Affiliation:

1. Université de Poitiers, Laboratoire Lipotoxicity and Channelopathies (LiTch)—ConicMeds, 86073 Poitiers, France

2. Université de Poitiers, Laboratoire PRéTI, 86073 Poitiers, France

3. Université Côte d’Azur (UCA), UMR E-4320 MATOs CEA/iBEB/SBTN, Faculté de Médecine, CEDEX 2, 06107 Nice, France

4. Service de Rhumatologie, Hôpital Pasteur, CHU de Nice, 06000 Nice, France

5. Department of Clinical Neuroscience, Karolinska Institutet, 17165 Solna, Sweden

6. Department of Surgical Sciences, Uppsala University, 75185 Uppsala, Sweden

7. Department of Molecular Medicine and Surgery, Karolinska Institutet, 17176 Stockholm, Sweden

8. Department of Physiology and Pharmacology, Center for Molecular Medicine, Karolinska Institutet, 17165 Solna, Sweden

9. Université Clermont Auvergne, Inserm U1107 Neuro-Dol, Pharmacologie Fondamentale et Clinique de la Douleur, 63001 Clermont-Ferrand, France

10. Université Côte d’Azur, CNRS, IPMC, LabEx ICST, FHU InovPain, 06560 Valbonne, France

Abstract

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.

Funder

Agence Nationale de la Recherche

Association Française contre les Myopathies

Publisher

MDPI AG

Subject

Molecular Biology,Biochemistry

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