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Background: Anti-citrullinated peptide antibodies (ACPA) and inflammatory cytokines play important roles in the development of rheumatoid arthritis (RA). T cell immunoglobulin and mucin-domain containing-3 (TIM-3) is an immune-checkpoint molecule involved in inhibitory signaling. Galectin-9 (Gal-9) mediated ligation of TIM-3 induces the amelioration of autoimmune diseases. TIM-3 is expressed in synovial osteoclasts and involved in the rheumatoid bone destruction. The aim of this study was to investigate the relationships between inflammatory cytokines and immune-checkpoint molecules in RA patients., Methods: Serum levels of interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), soluble TIM-3 (sTIM-3) and Gal-9 were determined by ELISA. Patients were stratified into two groups based on ACPA titers: low-medium ACPA (ACPA <200 U/mL) and high ACPA (ACPA ≥200 U/mL). Serum levels of cytokines or immune-checkpoint molecules were evaluated between RA patients with low-medium ACPA titers and high ACPA titers., Results: Elevated serum levels of inflammatory cytokines were correlated with DAS28-ESR in RA patients. Although serum levels of sTIM-3 were elevated in RA patients, significant correlations between sTIM-3 and cytokines (IL-6 or TNF-α) were observed exclusively in RA patients with low-medium ACPA titers (<200 U/mL). Serum levels of IL-6 and TNF-α levels were significantly correlated with elevated Gal-9 levels regardless of ACPA status. A significant correlation between IL-6 and Gal-9 was observed in RA patients without advanced joint damage. Conversely, a significant correlation between TNF-α and Gal-9 was observed in RA patients with advanced joint damage., Conclusions: Our data indicated that there are positive correlations between circulating inflammatory cytokines and checkpoint molecules in RA patients and these interactions can be modulated by ACPA status or joint damage stage., Competing Interests: KM has received research grants from Chugai, Pfizer, and AbbVie. Rest of the authors declares that they have no competing interests. They did not play any role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript. This study did not use any of the funds received from them.

Patients with rheumatoid arthritis (RA) experience a higher prevalence of periodontitis. This study aimed to examine the variation of periodontitis experienced with different serotypes suffered by RA patients and to examine the relationship between the different medications taken for RA that may influence this relationship. Two hundred and sixty RA and control participants underwent standardized periodontal examinations. Medical, serological and radiological (Sharp/van der Heijde) records were assessed. Functional status was assessed using the administered Health Assessment Questionnaire. Moreover, disease parameters, including disease activity (DAS28-ESR) and anti-citrullinated protein antibodies (ACPA) and rheumatoid factor (RF) seropositivity were evaluated. Periodontitis was higher in RA (71.54%) compared with controls (54.62%). The stage of periodontitis experienced by ACPA-positive participants were higher than APCA-negative participants. The probing pocket depth and recession experienced by RF-positive participants were higher than those who were RF-negative. RA participants on methotrexate had lower clinical attachment loss and lower periodontal probing depth compared with participants on a combination methotrexate and other disease-modifying antirheumatic drugs. Participants taking corticosteroids had lower gingival index scores. The association between seropositivity and the type of medications taken with periodontal health parameters in this group of patients suggests that both seropositivity and medications taken are important modifiers in the relationship between periodontitis and RA., Competing Interests: The authors have declared that no competing interests exist.

Understanding the genetic background of complex diseases requires the expansion of studies beyond univariate associations. Therefore, it is important to use interaction assessments of risk factors in order to discover whether, and how genetic risk variants act together on disease development. The principle of interaction analysis is to explore the magnitude of the combined effect of risk factors on disease causation. In this study, we use simulations to investigate different scenarios of causation to show how the magnitude of the effect of two risk factors interact. We mainly focus on the two most commonly used interaction models, the additive and multiplicative risk scales, since there is often confusion regarding their use and interpretation. Our results show that the combined effect is multiplicative when two risk factors are involved in the same chain of events, an interaction called synergism. Synergism is often described as a deviation from additivity, which is a broader term. Our results also confirm that it is often relevant to estimate additive effect relationships, because they correspond to independent risk factors at low disease prevalence. Importantly, we evaluate the threshold of more than two required risk factors for disease causation, called the multifactorial threshold model. We found a simple mathematical relationship (square root) between the threshold and an additive-to-multiplicative linear effect scale (AMLES), where 0 corresponds to an additive effect and 1 to a multiplicative. We propose AMLES as a metric that could be used to test different effects relationships at the same time, given that it can simultaneously reveal additive, multiplicative and intermediate risk effects relationships. Finally, the utility of our simulation study was demonstrated using real data by analyzing and interpreting gene-gene interaction odds ratios from a rheumatoid arthritis case-control cohort., Competing Interests: The authors have declared that no competing interests exist.

Objective: Peptidylarginine deiminase 2 (PAD2) and PAD4 are expressed in the synovium of rheumatoid arthritis (RA) patients and catalyze citrullination of arginine residues in proteins targeted by anti-citrullinated protein antibodies (ACPAs). Little is known about the relative importance of PAD2 and PAD4 in generating citrullinated self-antigens. Here we investigate the ability of PAD2 and PAD4 to generate citrullinated targets for ACPAs in four human proteins., Methods: Synovial fluid (SF) and plasma were collected from 42 RA patients. Human fibrinogen, human alpha-enolase (ENO1), human histone H3, and human serum albumin (HSA) were citrullinated in vitro by PAD2 or PAD4. The total degree of citrullination was determined using the anti-modified citrulline approach. Antibody binding to native and citrullinated proteins was measured by ELISA., Results: ACPAs within pooled SF from multiple RA patients reacted equally well with, and cross-reacted with, PAD2- and PAD4-citrullinated fibrinogen. ACPAs from most individual patient SF and plasma samples bound equally well to PAD2- and PAD4-citrullinated fibrinogen or ENO1. When histone H3 was used as target, PAD4 was generally superior in generating epitopes recognized by ACPAs. No binding to citrullinated HSA was observed., Conclusion: In most patients, PAD2 and PAD4 are equally efficient in generating citrullinated target sites for ACPAs in fibrinogen and ENO1. The binding of autoantibodies to histone H3 was generally higher after citrullination with PAD4 than with PAD2. Citrullinated HSA is not a target for ACPAs., Competing Interests: The authors have declared that no competing interests exist.