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Objective
Smoking is a risk factor for anti–cyclic citrullinated peptide (anti‐CCP) antibody–positive rheumatoid arthritis (RA) in patients with HLA–DRB1 shared epitope (SE) alleles. It is unknown whether smoking influences not only the presence of these antibodies, but also other characteristics of the anti‐CCP response, such as isotype usage. The aim of this study was to determine the influence of smoking on anti‐CCP isotypes in RA patients, and to determine whether this influence is observed in the presence and/or absence of SE alleles.Methods
IgA, IgM, and IgG subclasses of anti‐CCP antibodies were measured by enzyme‐linked immunosorbent assay in serum obtained at the first visit to the Leiden Early Arthritis Clinic from 216 patients with anti‐CCP–positive RA whose smoking habits were also assessed. HLA genotyping data were available for 202 of these patients.Results
IgA and IgM anti‐CCP were more frequent in RA patients who were smokers than in those who were nonsmokers (odds ratio 2.8 and 1.8, respectively). In addition, levels of all isotypes of anti‐CCP, except IgG3, were significantly higher (P < 0.05) in smokers. The number of anti‐CCP isotypes was higher in smokers compared with nonsmokers, both in SE‐negative RA (P = 0.04) and in SE‐positive RA (P = 0.07).Conclusion
Patients with anti‐CCP–positive RA who have a current or former tobacco exposure display a more extensive anti‐CCP isotype usage in general, and IgA and IgM in particular, compared with patients with anti‐CCP–positive RA who have never smoked. In contrast to its influence on the incidence of anti‐CCP positivity, the influence of tobacco exposure on the constitution of the anti‐CCP response is significant in SE‐negative RA. These findings suggest a differential effect of tobacco exposure on the induction as compared with the propagation of the anti‐CCP antibody response.Mass cytometry (MC) immunoprofiling allows high-parameter phenotyping of immune cells. We set to investigate the potential of MC immuno-monitoring of axial spondyloarthritis (axSpA) patients enrolled in the Tight Control SpondyloArthritis (TiCoSpA) trial.
MethodsFresh, longitudinal PBMCs samples (baseline, 24, and 48 weeks) from 9 early, untreated axSpA patients and 7 HLA-B27+ controls were analyzed using a 35-marker panel. Data were subjected to HSNE dimension reduction and Gaussian mean shift clustering (Cytosplore), followed by Cytofast analysis. Linear discriminant analyzer (LDA), based on initial HSNE clustering, was applied onto week 24 and 48 samples.
ResultsUnsupervised analysis yielded a clear separation of baseline patients and controls including a significant difference in 9 T cell, B cell, and monocyte clusters (cl), indicating disrupted immune homeostasis. Decrease in disease activity (ASDAS score; median 1.7, range 0.6–3.2) from baseline to week 48 matched significant changes over time in five clusters: cl10 CD4 Tnai cells median 4.7 to 0.02%, cl37 CD4 Tem cells median 0.13 to 8.28%, cl8 CD4 Tcm cells median 3.2 to 0.02%, cl39 B cells median 0.12 to 2.56%, and cl5 CD38+ B cells median 2.52 to 0.64% (all p<0.05).
ConclusionsOur results showed that a decrease in disease activity in axSpA coincided with normalization of peripheral T- and B-cell frequency abnormalities. This proof of concept study shows the value of MC immuno-monitoring in clinical trials and longitudinal studies in axSpA. MC immunophenotyping on a larger, multi-center scale is likely to provide crucial new insights in the effect of anti-inflammatory treatment and thereby the pathogenesis of inflammatory rheumatic diseases.
Key Points • Longitudinal immuno-monitoring of axSpA patients through mass cytometry indicates that normalization of immune cell compartments coincides with decrease in disease activity. • Our proof of concept study confirms the value of immune-monitoring utilizing mass cytometry. |