Body mass index stratification enables cytokine-based prediction of ACPA status and Power-Doppler disease activity in rheumatoid arthritis.
Ottar GadeholtE ArnoldC GormanT MuellerW ArnoldPublished in: Clinical rheumatology (2024)
When stratified according to BMI, cytokine patterns can predict ACPA status and PDS activity in RA with a high degree of precision. This indicates that studies into the pathophysiology of RA should take BMI into account, to differentiate between disease- and obesity-associated phenomena. The underlying pathological processes of ACPA-negative and -positive RA appear different. Multi-cytokine evaluations may provide a deeper understanding of disease processes. Key Points • A multi-cytokine approach combined with ultrasonography and modern mathematical methods can contribute to a deeper understanding of the relationship between systemic and joint inflammation. • BMI influences cytokine profiles in rheumatoid arthritis and appears to "override" disease-specific processes. • Using cytokines only, and adjusting for BMI, it is possible to predict the ACPA status and joint inflammation with considerable precision.
Keyphrases
- rheumatoid arthritis
- disease activity
- body mass index
- weight gain
- systemic lupus erythematosus
- ankylosing spondylitis
- rheumatoid arthritis patients
- oxidative stress
- interstitial lung disease
- juvenile idiopathic arthritis
- insulin resistance
- magnetic resonance imaging
- metabolic syndrome
- computed tomography
- weight loss
- magnetic resonance
- contrast enhanced
- idiopathic pulmonary fibrosis