Blood pro-resolving mediators are linked with synovial pathology and are predictive of DMARD responsiveness in rheumatoid arthritis.
Esteban Alberto GomezRomain A ColasPatricia R SouzaRebecca HandsMyles J LewisConrad BessantCostantino PitzalisJesmond DalliPublished in: Nature communications (2020)
Biomarkers are needed for predicting the effectiveness of disease modifying antirheumatic drugs (DMARDs). Here, using functional lipid mediator profiling and deeply phenotyped patients with early rheumatoid arthritis (RA), we observe that peripheral blood specialized pro-resolving mediator (SPM) concentrations are linked with both DMARD responsiveness and disease pathotype. Machine learning analysis demonstrates that baseline plasma concentrations of resolvin D4, 10S, 17S-dihydroxy-docosapentaenoic acid, 15R-Lipoxin (LX)A4 and n-3 docosapentaenoic-derived Maresin 1 are predictive of DMARD responsiveness at 6 months. Assessment of circulating SPM concentrations 6-months after treatment initiation establishes that differences between responders and non-responders are maintained, with a decrease in SPM concentrations in patients resistant to DMARD therapy. These findings elucidate the potential utility of plasma SPM concentrations as biomarkers of DMARD responsiveness in RA.
Keyphrases
- rheumatoid arthritis
- disease activity
- machine learning
- peripheral blood
- ankylosing spondylitis
- randomized controlled trial
- interstitial lung disease
- end stage renal disease
- rheumatoid arthritis patients
- systematic review
- ejection fraction
- stem cells
- palliative care
- single cell
- risk assessment
- systemic sclerosis
- bone marrow
- fatty acid
- smoking cessation
- patient reported