Humoral factors in serum as predictors of therapeutic response to tumor necrosis factor inhibitors in rheumatoid arthritis.

Aim: This study aimed to evaluate the predictive value of serum humoral factors in determining the therapeutic responses to biologic DMARDs (bDMARDs), especially TNF inhibitors (TNFis), in patients with RA.

Methods: A cohort of 52 patients with RA who were treated with bDMARDs, including TNFis, abatacept, and tocilizumab, was analyzed. Serum samples were collected at baseline (t1), 5 ± 1 (t2), and 14 ± 2 weeks (t3) after treatment.

Diminished antibody response to SARS-CoV-2 in rheumatoid arthritis compared to metabolic disorders following the primary series of vaccinations and its recovery with a booster: A single-center prospective observational study.

Aim: To compare antibody responses after vaccinations between patients with rheumatoid arthritis (RA) and patients with metabolic disorders (MD). The study places special emphasis on understanding how common diseases affect antibody responses in individuals with RA within real-world settings.

Methods: The participants were 117 patients with RA (66 with RA only and 51 with RA and MD) and 37 patients with MD who received both the primary series of vaccinations and a booster.

Biomarker combination predicting imminent relapse after discontinuation of biological drugs in patients with rheumatoid arthritis in remission.

Objectives: Compared to conventional disease-modifying antirheumatic drugs (DMARDs), biological DMARDs demonstrate superior efficacy but come with higher costs and increased infection risks. The ability to stop and resume biological DMARD treatment while maintaining remission would significantly alleviate these barriers and anxieties. The objective of this study was to identify biomarkers that can predict an imminent relapse, hopefully enabling the timely resumption of biological DMARDs before relapse occurs.

Serum level of IFNβ distinguishes early from late relapses after biologics withdrawal in rheumatoid arthritis.

Since the advent of biological disease modifying anti-rheumatic drugs (bDMARDs) in the treatment of rheumatoid arthritis (RA), most RA patients receiving such drugs have achieved remission at the expense of cost and infection risk. After bDMARDs are withdrawn, a substantial proportion of patients would have relapses even if they were in complete remission. In our previous report, relapse prediction could be made at the time of bDMARD withdrawal by measuring the serum levels of five cytokines.

A novel multi-biomarker combination predicting relapse from long-term remission after discontinuation of biological drugs in rheumatoid arthritis.

Biological disease modifying anti-rheumatic drugs (bDMARDs) show dramatic treatment efficacy in rheumatoid arthritis (RA). Long-term use of bDMARDs, however, has disadvantages such as high costs and infection risk. Therefore, a methodology is needed to predict any future RA relapse.