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Background Sexual dysfunction and sexual distress are common complaints for women with the autoimmune rheumatic disease Sjögren’s syndrome (SS); however, the role of psychosocial and interpersonal factors has not previously been explored in SS. Aim This study investigated whether psychosocial variables, such as coping strategies, illness perceptions, and relationship dynamics, contributed to sexual function and sexual distress for women with SS. Methods Participants with SS completed an online cross-sectional survey that included prevalidated questionnaires assessing sexual function, sexual distress, disease-related symptom experiences, cognitive coping strategies, illness perceptions, relationship satisfaction, and partners’ behavioral responses. Multiple linear regression was used to identify factors significantly associated with sexual function (total Female Sexual Function Index [FSFI] score) and sexual distress (total Female Sexual Distress Scale score) for women with SS. Outcomes Study outcome measures were the FSFI, Female Sexual Distress Scale, EULAR Sjӧgren’s Syndrome Patient Reported Index, numeric rating scale for vaginal dryness (0-10), Profile of Fatigue and Discomfort, Cognitive Emotion Regulation Questionnaire (CERQ), Brief Illness Perceptions Questionnaire (B-IPQ), West Haven–Yale Multidimensional Pain Inventory (WHYMPI), and Maudsley Marital Questionnaire. Results A total of 98 cisgender women with SS participated in the study (mean age = 48.13 years, SD = 13.26). Vaginal dryness was reported by 92.9% of participants, and clinical levels of sexual dysfunction (total FSFI score Clinical Implications This study suggests that interpersonal and psychosocial factors are important contributors to sexual function and distress in women with SS and that the development of psychosocial interventions for this population is warranted. Strengths and Limitations This study is one of the first to explore the impacts of coping strategies, illness perceptions, and relationship dynamics on sexual function and sexual distress for women with SS. Limitations of our study include its cross-sectional nature and narrow sample demographic, which limit the generalizability of our results to other population groups. Conclusion Women with SS who utilized adaptive coping strategies had better sexual function and lower levels of sexual distress than women who utilized maladaptive coping strategies.

Objectives Dysregulated signal transduction and activator of transcription-3 (STAT3) signalling in CD4+ T cells has been proposed as an early pathophysiological event in RA. We sought further evidence for this observation, and to determine its clinical relevance. Methods Microarray technology was used to measure gene expression in purified peripheral blood CD4+ T cells from treatment-naïve RA patients and disease controls newly recruited from an early arthritis clinic. Analysis focused on 12 previously proposed transcripts, and concurrent STAT3 pathway activation was determined in the same cells by flow cytometry. A pooled analysis of previous and current gene expression findings incorporated detailed clinical parameters and employed multivariate analysis. Results In an independent cohort of 161 patients, expression of 11 of 12 proposed signature genes differed significantly between RA patients and controls, robustly validating the earlier findings. Differential regulation was most pronounced for the STAT3 target genes PIM1, BCL3 and SOCS3 (>1.3-fold difference; P < 0.005), each of whose expression correlated strongly with paired intracellular phospho-STAT3. In a meta-analysis of 279 patients the same three genes accounted for the majority of the signature’s ability to discriminate RA patients, which was found to be independent of age, joint involvement or acute phase response. Conclusion The STAT3-mediated dysregulation of BCL3, SOCS3 and PIM1 in circulating CD4+ T cells is a discriminatory feature of early RA that occurs independently of acute phase response. The mechanistic and functional implications of this observation at a cellular level warrant clarification.

Rheumatoid arthritis (RA) is a genetically complex disease of immune dysregulation. This study sought to gain further insight into the genetic risk mechanisms of RA by conducting an expression quantitative trait locus (eQTL) analysis of confirmed genetic risk loci in CD4+ T cells and B cells from carefully phenotyped patients with early arthritis who were naive to therapeutic immunomodulation.RNA and DNA were isolated from purified B and/or CD4+ T cells obtained from the peripheral blood of 344 patients with early arthritis. Genotyping and global gene expression measurements were carried out using Illumina BeadChip microarrays. Variants in linkage disequilibrium (LD) with non-HLA RA single-nucleotide polymorphisms (defined as rGenes subject to cis-eQTL effects that were common to both CD4+ and B lymphocytes at RA risk loci were FADS1, FADS2, BLK, FCRL3, ORMDL3, PPIL3, and GSDMB. In contrast, those acting on METTL21B, JAZF1, IKZF3, and PADI4 were unique to CD4+ lymphocytes, with the latter candidate risk gene being identified for the first time in this cell subset. B lymphocyte-specific eQTLs for SYNGR1 and CD83 were also found. At the 8p23 BLK-FAM167A locus, adjacent genes were subject to eQTLs whose activity differed markedly between cell types; in particular, the FAM167A effect displayed striking B lymphocyte specificity. No trans-eQTLs approached experiment-wide significance, and linear modeling did not identify a significant influence of biologic covariates on cis-eQTL effect sizes.These findings further refine the understanding of candidate causal genes in RA pathogenesis, thus providing an important platform from which downstream functional studies, directed toward particular cell types, may be prioritized.

Many scientists believe that small experiments, guided by scientific intuition, are simpler and more efficient than design of experiments. This belief is strong and persists even in the face of data demonstrating that it is clearly wrong. In this paper, we present two powerful teaching examples illustrating the dangers of small experiments guided by scientific intuition. We describe two, simple, two-dimensional spaces. These two spaces give rise to, and at the same time appear to generate supporting data for, scientific intuitions that are deeply flawed or wholly incorrect. We find these spaces useful in unfreezing scientific thinking and challenging the misplaced confidence in scientific intuition.