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Background Rheumatoid arthritis (RA) is a chronic, immune-mediated inflammatory disease of the joints that has been associated with variation in the peripheral blood methylome. In this study, we aim to identify epigenetic variation that is associated with the response to tumor necrosis factor inhibitor (TNFi) therapy. & nbsp; Methods Peripheral blood genome-wide DNA methylation profiles were analyzed in a discovery cohort of 62 RA patients at baseline and at week 12 of TNFi therapy. DNA methylation of individual CpG sites and enrichment of biological pathways were evaluated for their association with drug response. Using a novel cell deconvolution approach, altered DNA methylation associated with TNFi response was also tested in the six main immune cell types in blood. Validation of the results was performed in an independent longitudinal cohort of 60 RA patients. & nbsp; Findings Treatment with TNFi was associated with significant longitudinal peripheral blood methylation changes in biological pathways related to RA (FDR < 0.05). 139 biological functions were modified by therapy, with methylation levels changing systematically towards a signature similar to that of healthy controls. Differences in the methylation profile of T cell activation and differentiation, GTPase-mediated signaling, and actin filament organization pathways were associated with the clinical response to therapy. Cell type deconvolution analysis identified CpG sites in CD4 +T, NK, neutrophils and monocytes that were significantly associated with the response to TNFi. & nbsp; Interpretation Our results show that treatment with TNFi restores homeostatic blood methylation in RA. The clinical response to TNFi is associated to methylation variation in specific biological pathways, and it involves cells from both the innate and adaptive immune systems.& nbsp; & nbsp; Copyright (c) 2022 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/) Superscript/Subscript Available

BACKGROUND/OBJECTIVES Immune-mediated inflammatory diseases (IMIDs) are prevalent diseases. There is, however, a lack of understanding of the link between diet and IMIDs, how much dietary patterns vary between them and if there are food groups associated with a worsening of the disease. SUBJECTS/METHODS To answer these questions we analyzed a nation-wide cohort of n = 11,308 patients from six prevalent IMIDs and 2050 healthy controls. We compared their weekly intake of the major food categories, and used a Mendelian randomization approach to determine which dietary changes are caused by disease. Within each IMID, we analyzed the association between food frequency and disease severity. RESULTS After quality control, n = 11,230 recruited individuals were used in this study. We found that diet is profoundly altered in all IMIDs: at least three food categories are significantly altered in each disease (P

Background Studies in axial spondyloarthritis (AxSp) have shown that intensity of pain, anxiety, depression and inflammatory activity are associated with poor sleep quality. Aim To describe mood and sleep disorders and positive psychological factors in patients with AxSp and psoriatic arthritis (PsA) and to evaluate the psychological factors that are potentially involved in sleep disorders. Design Multicenter cross-sectional observational study based on a series of patients with AxSp and PsA. Participants Participants were selected consecutively from patients aged ≥18 years with AxSp or PsA followed at the rheumatology department of 4 Spanish hospitals. Inclusion criteria age ≥18 years, AxSp (ASAS criteria) or PsA (CASPAR criteria), ability to understand the study and prepared to complete the questionnaires. Methods Main outcomes: Oviedo Sleep Quality questionnaire result. Secondary outcomes psychological status evaluated using the Hospital Anxiety and Depression Scale (HADS) questionnaire, health-related quality of life evaluated using SF-36, perception of pain evaluated using the short questionnaire for assessment of pain (BDU) and fatigue evaluated using the Fatigue Scale (FACIT) questionnaire. We performed a descriptive multivariate linear regression analysis to study factors that were independently associated with sleep disorders. The STROBE guidelines were adopted. Results We included 301 patients (152 [50.5%] with AxSp and 149 [49.5%] with PsA). The multivariate linear regression analysis for the whole sample showed that insomnia was inversely associated with emotional recovery and biologic disease-modifying antirheumatic drugs and directly associated with depression in both groups. The analysis by disease (AxSp and PsA) showed that insomnia was independently associated with depression and emotional recovery. Conclusions Insomnia may be associated with other mood disorders, quality of life and inflammatory activity in the patients studied here. Relevance to clinical practice A nurse intervention can be carried out to prevent sleep disorders knowing the consequences and triggers of the problem.

OBJECTIVE To evaluate cognitive function in adult patients with juvenile idiopathic arthritis (JIA) and associated factors. PATIENTS AND METHODS We performed a cross-sectional observational study of adult patients with JIA and a healthy control group (no inflammatory diseases) matched for age, gender, and educational level. Cognitive function was assessed using Wechsler Adult Intelligence Scale-III. The cognitive domains measured were attention/concentration, verbal function, visuospatial organization, working memory, and problem solving (Similarities). Other measures included clinical-epidemiological characteristics, comorbid conditions, and treatment. We performed a descriptive bivariate analysis and logistic regression to identify factors associated with visuospatial involvement. RESULTS The study population comprised 104 subjects (52 with JIA and 52 healthy controls). Patients with JIA had poorer results for visuospatial function, with a lower median scaled score on the Block Design test (5.0 [4.0-8.0] vs 8.0 [5.0-10.0]; P = .014). The number of patients with scaled scores below the average range (

Objective To describe the frequency of polyautoimmunity and multiple autoimmune syndrome in patients with rheumatoid arthritis (RA) and patients with systemic lupus erythematosus (SLE). Patients and methods This was a cross-sectional observational study of patients with RA, SLE, and controls without autoimmune rheumatic disease. Cases were those with RA according to the 2010 American College of Rheumatology/European League Against Rheumatism criteria and SLE according to the 2019 American College of Rheumatology/European League Against Rheumatism criteria, consecutively recruited in a rheumatology clinic. Controls were subjects with no rheumatic autoimmune disease (AIDs) recruited in the same area. Patients filled out a questionnaire on polyautoimmunity. Variables of interest were polyautoimmunity (RA or SLE with other AIDs), whereas secondary variables were rheumatic, skin, endocrine, digestive, and neurological AIDs. Multiple autoimmune syndrome is defined as the presence of 3 or more AIDs and a family history of AIDs. Statistical analyses performed were descriptive, bivariate, and multivariate (dependent variable: polyautoimmunity). Results The study population comprised 109 patients with RA, 105 patients with SLE, and 88 controls. Polyautoimmunity was recorded in 15 patients with RA (13.8%), 43 with SLE (41%), and 2 controls (2.2%). The most frequent AID in RA was Sjogren syndrome (53.3%), followed by Hashimoto thyroiditis and psoriasis; the most frequent AIDs in SLE were Sjogren syndrome (55.8%) and antiphospholipid syndrome (30.2%), followed by Hashimoto thyroiditis. Obesity was associated with polyautoimmunity in RA (odds ratio [OR], 3.362; p = 0.034). In SLE, joint damage (OR, 2.282; p = 0.038) and anti-RNP antibodies (OR, 5.095; p = 0.028) were risk factors for polyautoimmunity, and hydroxychloroquine was a protective factor (OR, 0.190; p = 0.004). Conclusions Polyautoimmunity is frequent in RA and even more frequent in SLE. It was associated with obesity in RA and with joint damage and anti-RNP in SLE. Hydroxychloroquine was a protector.

Objectives: To describe the frequency of COVID-19 and the effect of vaccination in patients with interstitial lung disease and systemic autoimmune disease (ILD-SAD) and to identify factors associated with infection and severity of COVID-19. Methods: We performed a cross-sectional multicenter study of patients with ILD-SAD followed between June and October 2021. The main variable was COVID-19 infection confirmed by a positive polymerase chain reaction (PCR) result for SARS-CoV-2. The secondary variables included severity of COVID-19, if the patient had to be admitted to hospital or died of the disease, and vaccination status. Other variables included clinical and treatment characteristics, pulmonary function and high-resolution computed tomography. Two logistic regression was performed to explore factors associated with “COVID-19” and “severe COVID-19”. Results: We included 176 patients with ILD-SAD: 105 (59.7%) had rheumatoid arthritis, 49 (27.8%) systemic sclerosis, and 22 (12.54%) inflammatory myopathies. We recorded 22/179 (12.5%) SARS-CoV-2 infections, 7/22 (31.8%) of them were severe and 3/22 (13.22%) died. As to the vaccination, 163/176 (92.6%) patients received the complete doses. The factors associated with SARS-CoV-2 infection were FVC (OR (95% CI), 0.971 (0.946–0.989); p = 0.040), vaccination (OR (95% CI), 0.169 (0.030–0.570); p = 0.004), and rituximab (OR (95% CI), 3.490 (1.129–6.100); p = 0.029). The factors associated with severe COVID-19 were the protective effect of the vaccine (OR (95% CI), 0.024 (0.004–0.170); p < 0.001) and diabetes mellitus (OR (95% CI), 4.923 (1.508–19.097); p = 0.018). Conclusions: Around 13% of patients with ILD-SAD had SARS-CoV-2 infection, which was severe in approximately one-third. Most patients with severe infection were not fully vaccinated.

This study aimed to identify inflammatory factors and soluble cytokines that act as biomarkers in the diagnosis and prognosis of rheumatoid arthritis-associated interstitial lung disease (RA-ILD). We performed a nested prospective observational case–control study of patients with RA-ILD matched by sex, age, and time since the diagnosis of RA. All participants underwent pulmonary function testing and high-resolution computed tomography. ILD was defined according to the criteria of the American Thoracic Society/European Respiratory Society; the progression of lung disease was defined as the worsening of FVC > 10% or DLCO > 15%. Inflammation-related variables included the inflammatory activity measured using the DAS28-ESR and a multiplex cytokine assay. Two Cox regression models were run to identify factors associated with ILD and the progression of ILD. The study population comprised 70 patients: 35 patients with RA-ILD (cases) and 35 RA patients without ILD (controls). A greater percentage of cases had higher DAS28-ESR (p = 0.032) and HAQ values (p = 0.003). The variables associated with RA-ILD in the Cox regression analysis were disease activity (DAS28) (HR [95% CI], 2.47 [1.17–5.22]; p = 0.017) and high levels of ACPA (HR [95% CI], 2.90 [1.24–6.78]; p = 0.014), IL-18 in pg/mL (HR [95% CI], 1.06 [1.00–1.12]; p = 0.044), MCP-1/CCL2 in pg/mL (HR [95% CI], 1.03 [1.00–1.06]; p = 0.049), and SDF-1 in pg/mL (HR [95% CI], 1.00 [1.00–1.00]; p = 0.010). The only variable associated with the progression of ILD was IL-18 in pg/mL (HR [95% CI], 1.25 [1.07–1.46]; p = 0.004). Our data support that the inflammatory activity was higher in patients with RA-ILD than RA patients without ILD. Some cytokines were associated with both diagnosis and poorer prognosis in patients with RA-ILD.

Objectives To assess the characteristics and risk of lymphoma in a large cohort of patients with SLE. Methods A case–cohort analysis was performed within a dynamic cohort of SLE patients from the Spanish Society of Rheumatology Lupus Registry (RELESSER). Clinical and analytical features were compared between the lymphoma SLE group and the control SLE group using an independent-sample Student’s t-test or Mann–Whitney test for continuous variables and the χ2 test for categorical variables with Fisher’s exact test if necessary. The multivariate analysis was based on a generalized linear model. Results Twenty-one patients with SLE and lymphoma and 3965 non-lymphoma controls with SLE were studied. Most lymphomas were of B cell origin (n = 15/21), with diffuse large B cell lymphoma being the most frequent histological type (8/21, 38.1%). As in the general population, the risk of lymphoma in SLE was higher in male than in female patients and increased with age. In the lymphoma SLE group, bivariate analysis showed a significantly higher percentage of pericarditis, organic brain syndrome, seizures, vasculitis, haemolytic anaemia, splenomegaly, venous thrombosis and mean modified (excluding lymphoma) SLICC/ACR damage index. In contrast, renal involvement, positive anti-dsDNA, and antimalarials ever were less frequent. Conclusions In this large multicentre Spanish cohort, we identified characteristics of SLE that are associated with a higher risk of lymphoma. Antimalarials were significantly negatively associated with risk of lymphoma in SLE patients. Nevertheless, further prospective studies are needed to clarify these findings.

Background/objectives: Factors associated with chronic heart failure (CHF) in patients with systemic lupus erythematosus (SLE) have received little attention. Recent data on the use of hydroxychloroquine in the treatment of SARS-CoV-2 infection have cast doubt on its cardiac safety. The factors associated with CHF, including therapy with antimalarials, were analyzed in a large multicenter SLE cohort. Methods: Cross-sectional study including all patients with SLE (ACR-1997 criteria) included in the Spanish Society of Rheumatology Lupus Register (RELESSER), based on historically gathered data. Patients with CHF prior to diagnosis of SLE were excluded. A multivariable analysis exploring factors associated with CHF was conducted. Results: The study population comprised 117 patients with SLE (ACR-97 criteria) and CHF and 3,506 SLE controls. Ninety percent were women. Patients with CHF were older and presented greater SLE severity, organ damage, and mortality than those without CHF. The multivariable model revealed the factors associated with CHF to be ischemic heart disease (7.96 [4.01-15.48], p < 0.0001), cardiac arrhythmia (7.38 [4.00-13.42], p < 0.0001), pulmonary hypertension (3.71 [1.84-7.25], p < 0.0002), valvulopathy (6.33 [3.41-11.62], p < 0.0001), non-cardiovascular damage (1.29 [1.16-1.44], p < 0.000) and calcium/vitamin D treatment (5.29 [2.07-16.86], p = 0.0015). Female sex (0.46 [0.25-0.88], p = 0.0147) and antimalarials (0.28 [0.17-0.45], p < 0.000) proved to be protective factors. Conclusions: Patients with SLE and CHF experience more severe SLE. Treatment with antimalarials appears to confer a cardioprotective effect. (c) 2021 Published by Elsevier Inc.

Objectives: To describe the characteristics and progression of interstitial lung disease in patients with associated systemic autoimmune disease (ILD-SAI) and to identify factors associated with progression and mortality. Patients and methods: We performed a multicenter, retrospective, observational study of patients with ILD-SAI followed between 2015 and 2020. We collected clinical data and performed pulmonary function testing and high-resolution computed tomography at diagnosis and at the final visit. The main outcome measure at the end of follow-up was forced vital capacity (FVC) &gt, 10% or diffusing capacity of the lungs for carbon monoxide &gt, 15% and radiological progression or death. Cox regression analysis was performed to identify factors associated with worsening of ILD. Results: We included 204 patients with ILD-SAI: 123 (60.3%) had rheumatoid arthritis (RA), 58 had (28.4%) systemic sclerosis, and 23 (11.3%) had inflammatory myopathy. After a median (IQR) period of 56 (29.8–93.3) months, lung disease had stabilized in 98 patients (48%), improved in 33 (16.1%), and worsened in 44 (21.5%). A total of 29 patients (14.2%) died. Progression and hospitalization were more frequent in patients with RA (p = 0.010). The multivariate analysis showed the independent predictors for worsening of ILD-SAI to be RA (HR, 1.9 [95% CI, 1.3–2.7]), usual interstitial pneumonia pattern (HR, 1.7 [95% CI, 1.0–2.9]), FVC (%) (HR, 2.3 [95% CI, 1.4–3.9]), and smoking (HR, 2.7 [95%CI, 1.6–4.7]). Conclusion: Disease stabilizes or improves after a median of 5 years in more than half of patients with ILD-SAI, although more than one-third die. Data on subgroups and risk factors could help us to predict poorer outcomes.

Objective Sarilumab, as monotherapy or in combination with conventional synthetic DMARDs, such as MTX, has demonstrated improvement in clinical outcomes in patients with RA. The primary objective of this post hoc analysis was to compare the efficacy of sarilumab (200 mg every 2 weeks) monotherapy (MONARCH study) with that of sarilumab and MTX combination therapy (MOBILITY study) at week 24. Methods The endpoints assessed were mean change from baseline in the Clinical Disease Activity Index (CDAI), 28-joint Disease Activity using CRP (DAS28-CRP), CRP, haemoglobin (Hb), pain visual analogue scale (VAS) and Functional Assessment of Chronic Illness Therapy (FACIT)–Fatigue. Least square (LS) mean change from baseline (95% CI) at week 24 for all endpoints was compared between the treatment arms for adjusted comparisons. Results This analysis included 184 patients on sarilumab monotherapy and 399 patients on sarilumab plus MTX. Differences (P Conclusion This analysis demonstrated that the efficacy of sarilumab monotherapy was similar to that of sarilumab and MTX combination therapy.

Objective: To identify factors associated with the higher proportion of fatty tissue and overweight/obesity observed in patients with juvenile idiopathic arthritis (JIA). Patients and methods: We performed a cross-sectional study of 80 JIA patients aged 4–15 years with 80 age- and sex-matched healthy controls. Body composition was assessed using dual-energy x-ray absorptiometry. The 27-joint Juvenile Arthritis Disease Activity score (JADAS27) was calculated. Two multivariate models were constructed to identify factors associated with overweight/obesity and fat mass index (FMI). Results: No differences were found between cases and controls in body mass index (BMI) or body composition. However, compared with controls, patients with a high inflammatory activity (JADAS27 &gt, 4.2 for oligoarticular JIA or &gt, 8.5 for polyarticular disease) had higher values for BMI (p = 0.006), total fat mass (p = 0.003), FMI (p = 0.001), and fat in the legs (p = 0.001), trunk (p = 0.001), and arms (p = 0.002). The factors associated with overweight/obesity in patients were the duration of therapy with biological drugs, measured in months (OR [95% CI] = 1.12 [1.02–1.04], p = 0.037), and physical activity (OR [95% CI] = 0.214 [0.07–0.68], p = 0.010), while the factors associated with FMI were age (β [95% CI] = 0.30 [0.17–1.41], p = 0.014), JADAS27 (β [95% CI] = 0.45 [0.16–1.08], p = 0.009), and physical activity (β [95% CI] = −0.22 [−5.76 to 0.29], p = 0.031). Conclusion: Our study revealed no differences between JIA patients with well-controlled disease and low disability and the healthy population in BMI or body composition. Furthermore, the association observed between inflammatory activity and adiposity could be responsible for poorer clinical course.

To evaluate the effectiveness and safety of tocilizumab (TCZ) monotherapy in biologic-naïve patients with rheumatoid arthritis (RA) versus patients with previous biologic exposure in a real-world setting.Non-controlled clinical-trial, 32-week prospective multicenter study including RA patients with moderate-severe disease activity starting TCZ in monotherapy who had a prior inadequate response or were intolerant to methotrexate (MTX). Effectiveness according to EULAR response evaluated at 24-week and safety at 32-weekwere assessed.Of the 93 were enrolled of whom 84 (90%) were eligible for the effectiveness analysis. Biologic-naïve patients (n=46, 54.8%) were younger (51.5 versus 57.9) with shorter disease duration (6.4 versus 13.3) but presented similar comorbidities in comparison with non-naïve patients. DAS28 remission was achieved in a higher percentage in the group of patients with prior biological treatment. 89 adverse events (AE) were recorded in 50 patients, most of them non-serious AE (non-SAE) (86.3%).In a real world setting, TCZ exhibit similar effectiveness and safety in monotherapy in patients with RA regardless previous exposure to other biologic therapies. This study provides additional and valuable real-world findings on the use of TCZ in patients with RA.

Background Blocking of the Tumor Necrosis Factor (TNF) activity is a successful therapeutic approach for 50–60% of rheumatoid arthritis (RA) patients. However, there are yet no biomarkers to stratify patients for anti-TNF therapy. Rheumatoid factor (RF) and anti-cyclic-citrullinated antibodies (anti-CCP) have been evaluated as biomarkers of response but the results have shown limited consistency. Anti-carbamylated protein (anti-CarP) and anti-peptidylarginine deiminase type 4 (anti-PAD4) antibodies have been much less studied. Despite being linked to common immune processes, the interaction between these markers has not been evaluated yet. Our aim was to analyze the interaction between these four antibodies in relation to the response to anti-TNF therapy. Methods For this objective, a prospective cohort of n = 80 RA patients starting anti-TNF therapy was recruited. Serum determinations at baseline were performed for RF, anti-CCP, anti-CarP and anti-PAD4 antibodies using enzyme-linked immunosorbent assays (ELISA). The clinical response to anti-TNF therapy was determined at week 12 using the change in DAS28 score. Association was performed using multivariate linear regression adjusting for baseline DAS28, sex and age. Results The interaction between pairs of antibodies was tested by the addition of an interaction term. We found two highly significant antibody interactions associated with treatment response: anti-CarP with anti-PAD4 (p = 0.0062), and anti-CCP with RF (p = 0.00068). The latter antibody interaction was replicated in an independent retrospective cohort of RA patients (n = 199, p = 0.04). Conclusions The results of this study suggest that antibody interaction effects are important factors in the response to anti-TNF therapy in RA., This project was supported by UCB Pharma. The funders had no role in the study design, data analysis, data interpretation or writing the manuscript.

Background: This prospective multicenter study developed an integrative clinical and molecular longitudinal study in Rheumatoid Arthritis (RA) patients to explore changes in serologic parameters following anti-TNF therapy (TNF inhibitors, TNFi) and built on machine-learning algorithms aimed at the prediction of TNFi response, based on clinical and molecular profiles of RA patients.Methods: A total of 104 RA patients from two independent cohorts undergoing TNFi and 29 healthy donors (HD) were enrolled for the discovery and validation of prediction biomarkers. Serum samples were obtained at baseline and 6 months after treatment, and therapeutic efficacy was evaluated. Serum inflammatory profile, oxidative stress markers and NETosis-derived bioproducts were quantified and miRNomes were recognized by next-generation sequencing. Then, clinical and molecular changes induced by TNFi were delineated. Clinical and molecular signatures predictors of clinical response were assessed with supervised machine learning methods, using regularized logistic regressions.Results: Altered inflammatory, oxidative and NETosis-derived biomolecules were found in RA patients vs. HD, closely interconnected and associated with specific miRNA profiles. This altered molecular profile allowed the unsupervised division of three clusters of RA patients, showing distinctive clinical phenotypes, further linked to the TNFi effectiveness. Moreover, TNFi treatment reversed the molecular alterations in parallel to the clinical outcome. Machine-learning algorithms in the discovery cohort identified both, clinical and molecular signatures as potential predictors of response to TNFi treatment with high accuracy, which was further increased when both features were integrated in a mixed model (AUC: 0.91). These results were confirmed in the validation cohort.Conclusions: Our overall data suggest that: 1. RA patients undergoing anti-TNF-therapy conform distinctive clusters based on altered molecular profiles, which are directly linked to their clinical status at baseline. 2. Clinical effectiveness of anti-TNF therapy was divergent among these molecular clusters and associated with a specific modulation of the inflammatory response, the reestablishment of the altered oxidative status, the reduction of NETosis, and the reversion of related altered miRNAs. 3. The integrative analysis of the clinical and molecular profiles using machine learning allows the identification of novel signatures as potential predictors of therapeutic response to TNFi therapy.