Exhaled nitric oxide in early rheumatoid arthritis and effects of methotrexate treatment.
Tomas WeitoftAnders LindAnders O LarssonJohan RönnelidMarieann HögmanPublished in: Scientific reports (2022)
Patients with established rheumatoid arthritis (RA) and disease modifying treatments have lower nitric oxide (NO) levels in the alveolar compartment (C A NO) and in the airway wall (C aw NO), but also higher diffusion capacities for NO in the airways (D aw NO) compared to matched controls. The aim of the present study was to investigate the NO lung dynamics in patients with recent onset RA before and after immune suppression with methotrexate therapy. Patients with early RA and antibodies against anticitrullinated peptides (ACPA) were recruited. Measurement of exhaled NO and inflammatory markers in serum were performed. Clinical disease activity was evaluated with Disease Activity Score for 28 joints. Healthy individuals were used as matched controls. Data are presented as median (lower quartile, upper quartile) values. RA patients (n = 44) had lower exhaled NO (F E NO 50 ) 16 (10-24) ppb compared to controls 21 (15, 29) ppb, p = 0.013. In NO-dynamics, C A NO was lower in RA patients 1.6 (1.0, 2.2) ppb compared to the control subjects 2.3 (1.3, 3.1) ppb, p = 0.007. C aw NO was also lower in the RA patients 55 (24, 106) ppb compared to control subjects 124 (110, 170) ppb, p < 0.001, but D aw NO was higher 17 (8, 30) mL/s and 9 (5, 11) mL/s respectively, p < 0.001. Methotrexate treatment for three months reduced disease activity, but did not change the NO dynamics. In conclusion, the altered NO dynamics of the lung in ACPA-positive RA patients are already present in the early stages of the disease before any treatments and do not change after methotrexate therapy suggesting a role in the pathogenesis.
Keyphrases
- disease activity
- rheumatoid arthritis
- systemic lupus erythematosus
- ankylosing spondylitis
- rheumatoid arthritis patients
- end stage renal disease
- nitric oxide
- ejection fraction
- newly diagnosed
- chronic kidney disease
- juvenile idiopathic arthritis
- prognostic factors
- machine learning
- interstitial lung disease
- mesenchymal stem cells
- bone marrow
- systemic sclerosis
- artificial intelligence