Inflammatory rheumatic diseases such as rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE) show a striking female predominance ranging from 3:1 in RA up to 9:1 in SLE. The background for those gender bias is not fully understood yet, but seems to be the result of a complex interaction between sex hormones, (epi-)genetics, and possibly even the composition of gut microbiota. Moreover, time of disease onset, the clinical phenotype including co-morbidities as well as the course of the diseases during life differ between genders. The patient's sex therefore plays an emerging role for individual therapy decisions and co-morbidity screening in rheumatologic care. Male lupus patients, for example, tend to show more severe features such as renal involvement, pleurisy, and serositis, when being compared to female patients. Among RA patients, women are more likely to acquire conditions like thyroid dysfunctions, fibromyalgia, and depression than their male counterparts. These examples emphasize the importance of the patient's gender for the clinical routine and the resulting implications for prevention and therapy. The present article is going to review potential causes for the female predominance of rheumatic diseases and will examine the gender's impact on the disease phenotype, symptom severity, co-morbidities, and quality of life. For reasons of scope, the focus will be on RA and SLE as two of the most important rheumatic diseases with a large socioeconomic impact on society due to their incidence as well as mortality.
IntroductionPeripheral blood monocytes are no longer regarded as a homogeneous cell population, but can be differentiated both phenotypically and functionally into various subpopulations. In rheumatoid arthritis, the subpopulation of CD14bright/CD16+ monocyte is expanded and prone towards generation of Th17 cells. CD56+ monocytes represent a different subpopulation, which is also expanded in conditions associated with autoimmunity like inflammatory bowel diseases. The aim of the study was the quantification and functional characterization of the CD56+ monocyte subset in rheumatoid arthritis (RA).MethodsFrequencies of peripheral blood monocyte subpopulations were analyzed by flow cytometry in 86 healthy controls and 75 RA patients. In 16 patients, anti-tumor necrosis factor (TNF) therapy was initiated, and the CD56+ monocyte frequency was monitored longitudinally. Lipopolysaccharide (LPS)-induced cytokine production of CD56+ and CD56– monocytes was determined by intracellular staining or cytokine secretion assays.ResultsIn healthy individuals, 8.6% ± 0.6 of the monocytes co-expressed CD56, with the majority of CD56+ monocytes being CD14bright (7.9% ± 0.5), while only a minor population was CD14dim (0.7% ± 0.1). We found a strong positive correlation between an individual’s age and the frequency of CD56+ monocytes. Upon stimulation with LPS, CD56+ monocytes became more frequently positive for TNF, IL-10 and IL-23 than CD56– monocytes. In addition, CD56+ monocytes spontaneously produced more reactive oxygen intermediates than CD56- monocytes. In RA patients, the frequency of CD56+ monocytes was significantly higher than in healthy controls (12.2% ± 0.9 vs. 7.9% ± 0.5, p = 0.0002), and this difference most pronounced in RA patients below 40 years of age (11.1% ± 1.6 vs. 4.1% ± 0.4, P < 0.0001). Treatment of the patients with an anti-TNF blocking agent significantly reduced CD56+ monocyte frequencies (baseline 12.4% vs. 24 weeks treatment 8.0%, P = 0.0429), and the magnitude of this decrease was found to correlate with the change in disease activity under the therapy.ConclusionThe CD14bright/CD56+ monocyte subset is expanded in aging individuals as well as in patients with RA. The pro-inflammatory production of cytokines and reactive oxygen species as well as the elimination of those cells in patients with a good response towards TNF inhibiting agents indicates a possible contribution of those monocytes in the inflammatory response in RA.
Patients with rheumatoid arthritis (RA) are at an increased risk of acquiring infections due to two reasons: the disease itself and the immunosuppressive therapy. Vaccinations against preventable diseases are therefore of utmost importance for these group of patients. To estimate vaccination frequencies among patients with rheumatoid arthritis, we studied patients in a survey and calculated vaccination rates based on their vaccination documents. Patients have been recruited from our outpatient clinic during one of their routine visits. For the statistical analysis, they have been divided by age (≥60 vs <60 years) and medication (DMARD, Biologics, TNF inhibitors) for further subgroup analysis. Among the studied patients (n = 331), we found rather low vaccination rates, in particular for the strongly recommended vaccines against Pneumococcus and Influenza (33 and 53%, respectively). Furthermore, protection rates for important basic vaccinations, e.g. against Pertussis, were found to be very low with 12% only. Beside these findings, we saw age-dependent differences for a variety of vaccines: while Pneumococcus and Influenza vaccines were more often given to patients ≥60 years, MMR, Pertussis, Diphtheria and Hepatitis were significantly more often applied to younger patients. Vaccination rates have to be improved among RA patients, in particular for vaccines protecting from respiratory tract infections such as Pneumococcus.
Objectives Successful vaccination is key to overcoming the COVID-19 pandemic. Immunosuppressive medication is known to potentially compromise vaccination responses, and expansion of our knowledge on vaccination efficacy in patients with autoimmune inflammatory rheumatic diseases (AIIRD) is therefore of utmost importance. Methods We conducted a single-centre observational study and evaluated the efficacy of approved COVID-19 vaccines in 303 adult AIIRD patients. Serum levels of IgG antibodies against the S1 subunit of SARS-CoV-2 spike proteins (anti-S IgG) were measured at least two weeks after vaccination. In a subgroup of patients without humoral response, T cell responses were determined using an interferon-γ gamma release assay. Results Overall seropositivity rate was 78.5% and was significantly lower in patients under immunosuppressive therapy (75.7 vs. 93.2%, p = 0.009). No difference regarding the vaccination type was observed. Glucocorticoids, mycophenolate-mofetil, TNF inhibitors, tocilizumab, abatacept and rituximab were all associated with non-response after proper vaccination. The risk was highest under RTX therapy (OR 0.004, 95%CI0.001-0.023, p < 0.0001). A strong negative correlation was observed between time since vaccination with an mRNA vaccine and anti-S antibody levels (r=-0.6149, p < 0.0001). In patients without humoral response, a T cell response was found in 50%. Conclusions COVID-19 vaccination in patients with AIIRD is effective using any approved vaccine. Humoral response might be impaired depending on the individual immunosuppressive medication. The risk of non-response is highest under rituximab therapy. Anti-S IgG antibody levels wane over time after mRNA vaccination. Importantly, 50% of humoral non-responders showed a T cellular response, suggesting T cell-mediated protection to a certain extent.
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