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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., 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., 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., 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., Funding: The Instituto de Salud Carlos III., (Copyright © 2022 The Authors. Published by Elsevier B.V. All rights reserved.)

Objective: We aimed to develop recommendations for the management of methotrexate (MTX) when considering the combination with biological (b) or targeted synthetic (ts) disease modifying drugs (DMARDs) in rheumatoid arthritis (RA)., Methods: Eleven experts on RA were selected. Two coordinators formulated 13 questions about the combination therapy of MTX with bDMARDs or tsDMARDs. A systematic review was conducted to answer the questions. Inclusion and exclusion criteria were established as well as the search strategies (Medline, Embase and the Cochrane Library were searched up to January 2019). Two reviewers selected the articles and collected data. Simultaneously, EULAR and ACR meeting abstracts were evaluated. Based on this evidence, the coordinators proposed preliminary recommendations that the experts discussed and voted in a nominal group meeting. The level of evidence and grade of recommendation was established using the Oxford Center for Evidence Based Medicine and the level of agreement with a Delphi. Agreement was established if at least 80% of the experts voted 'yes' (yes/no)., Results: The systematic review retrieved 513 citations of which 61 were finally included. A total of 10 recommendations were generated, voted and accepted. The level of agreement was very high in all of them and it was achieved in the first Delphi round. Final recommendations cover aspects such as the optimal MTX dosage, tapering strategy or patients' risk management., Conclusions: This document is intended to help clinicians solve usual clinical questions and facilitate decision making when treating RA patients with MTX in combination with bDMARDs or tsDMARDs., (Copyright © 2020 The Author(s). Published by Elsevier España, S.L.U. All rights reserved.)

Objective: To describe practice patterns, long-term outcome, and related factors, in relation to biological therapies tapering in rheumatoid arthritis (RA) patients in a well-controlled real-world setting., Methods: An observational longitudinal retrospective 10-year study was conducted in all RA patients receiving biological agents in an RA clinic from May 2003 to October 2013. Biological treatment of patients with sustained DAS28<3.2 or SDAI<11 was tapered (dose down-titrated or interval widen) or discontinued as per practice protocol. Primary outcome of tapering was relapse, defined as an increase in DAS28≥1.2. Descriptive, survival analysis, and logistic regression analysis with first relapse as dependent variable were carried out., Results: Of 193 RA patients on biological treatment (mean age 54±14 years, 81% women), tapering was applied in 106 (55%) and discontinuation in 34 (17.6%). During follow-up 38 patients relapsed (62%). Rate of relapse was 10% at 6 months, 19% at 12 months, 33.2% at 2 years and 50% after 5 years. Mean time in dose reduction was 4.5 years [95% confidence interval (95% CI): 3.7-5.3]. Six patients (15.7%) did not respond after reinstatement of full dose of biologic. In the multivariate analysis, pain [OR=1.26 (95% CI: 1.11-1.43); P<.001] and erythrocyte sedimentation rate (ESR) [OR=1.01 (95% CI: 1.00-1.03); P=.011] at baseline were associated with relapse after tapering., Conclusions: Tapering may be considered a long-term option in RA patients on biologics and low disease activity, especially if low ESR and pain scores are present at baseline; treatment reinstatement could be considered a safe option in case of relapse., (Copyright © 2018 Elsevier España, S.L.U. and Sociedad Española de Reumatología y Colegio Mexicano de Reumatología. All rights reserved.)

Background: Rheumatoid arthritis (RA) is the most frequent autoimmune disease involving the joints. Although anti-TNF therapies have proven effective in the management of RA, approximately one third of patients do not show a significant clinical response. The objective of this study was to identify new genetic variation associated with the clinical response to anti-TNF therapy in RA. Methods: We performed a sequential multi-omic analysis integrating different sources of molecular information. First, we extracted the RNA from synovial biopsies of 11 RA patients starting anti-TNF therapy to identify gene coexpression modules (GCMs) in the RA synovium. Second, we analyzed the transcriptomic association between each GCM and the clinical response to anti-TNF therapy. The clinical response was determined at week 14 using the EULAR criteria. Third, we analyzed the association between the GCMs and anti-TNF response at the genetic level. For this objective, we used genome-wide data from a cohort of 348 anti-TNF treated patients from Spain. The GCMs that were significantly associated with the anti-TNF response were then tested for validation in an independent cohort of 2,706 anti-TNF treated patients. Finally, the functional implication of the validated GCMs was evaluated via pathway and cell type epigenetic enrichment analyses. Results: A total of 149 GCMs were identified in the RA synovium. From these, 13 GCMs were found to be significantly associated with anti-TNF response ( P < 0.05). At the genetic level, we detected two of the 13 GCMs to be significantly associated with the response to adalimumab ( P = 0.0015) and infliximab ( P = 0.021) in the Spain cohort. Using the independent cohort of RA patients, we replicated the association of the GCM associated with the response to adalimumab ( P = 0.0019). The validated module was found to be significantly enriched for genes involved in the nucleotide metabolism ( P = 2.41e-5) and epigenetic marks from immune cells, including CD4+ regulatory T cells ( P = 0.041). Conclusions: These findings show the existence of a drug-specific genetic basis for anti-TNF response, thereby supporting treatment stratification in the search for response biomarkers in RA.

Anti-Tumor Necrosis Factor (anti-TNF) drugs are biologic agents commonly used to treat rheumatoid arthritis (RA). However, anti-TNFs are not effective in approximately one out of four treated patients. We conducted a Genome-Wide Association Study (GWAS) to identify the genetic variation associated with the response to anti-TNF therapy in RA. In the discovery stage, 372 RA patients treated with an anti-TNF agent (infliximab, adalimumab or etanercept) were analyzed and treatment response was defined at 12 weeks of therapy. We found a genome-wide significant association in the MED15 gene with the response to etanercept (P<1.5e-8). Using an independent cohort of 245 RA patients, we performed a replication study of the most significant GWAS associations. We replicated the association at the MED15 locus and found suggestive evidence of association in the previously associated MAFB locus. The results of this study suggest novel mechanisms associated with the response to anti-TNF therapies.