Plasma metabolomic profiling in patients with rheumatoid arthritis identifies biochemical features predictive of quantitative disease activity.
Benjamin HurVinod K GuptaHarvey HuangKerry A WrightKenneth J WarringtonVeena TanejaJohn M DavisJaeyun SungPublished in: Arthritis research & therapy (2021)
We demonstrate for the first time the prediction of quantitative disease activity in RA using plasma metabolomes. The metabolites identified herein provide insight into circulating pro-/anti-inflammatory metabolic signatures that reflect disease activity and inflammatory status in RA patients.
Keyphrases
- disease activity
- rheumatoid arthritis
- systemic lupus erythematosus
- rheumatoid arthritis patients
- ankylosing spondylitis
- anti inflammatory
- juvenile idiopathic arthritis
- end stage renal disease
- ejection fraction
- chronic kidney disease
- genome wide
- newly diagnosed
- high resolution
- peritoneal dialysis
- oxidative stress
- ms ms
- prognostic factors
- patient reported outcomes
- single cell
- dna methylation
- systemic sclerosis
- idiopathic pulmonary fibrosis