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      Interferon-α-mediated therapeutic resistance in early rheumatoid arthritis implicates epigenetic reprogramming

      research-article
      1 , , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 1 , 2 , 2 , 3 , 4 , 5 , 4 , 6 , 4 , 7 , 8 , 1 , 9 , RA-MAP Consortium, 1 , 9
      (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab), (Collab)
      Annals of the Rheumatic Diseases
      BMJ Publishing Group
      inflammation, arthritis, rheumatoid, antirheumatic agents, immune system diseases

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          Abstract

          Objectives

          An interferon (IFN) gene signature (IGS) is present in approximately 50% of early, treatment naive rheumatoid arthritis (eRA) patients where it has been shown to negatively impact initial response to treatment. We wished to validate this effect and explore potential mechanisms of action.

          Methods

          In a multicentre inception cohort of eRA patients (n=191), we examined the whole blood IGS ( MxA, IFI44L, OAS1, IFI6, ISG15) with reference to circulating IFN proteins, clinical outcomes and epigenetic influences on circulating CD19+ B and CD4+ T lymphocytes.

          Results

          We reproduced our previous findings demonstrating a raised baseline IGS. We additionally showed, for the first time, that the IGS in eRA reflects circulating IFN-α protein. Paired longitudinal analysis demonstrated a significant reduction between baseline and 6-month IGS and IFN-α levels (p<0.0001 for both). Despite this fall, a raised baseline IGS predicted worse 6-month clinical outcomes such as increased disease activity score (DAS-28, p=0.025) and lower likelihood of a good EULAR clinical response (p=0.034), which was independent of other conventional predictors of disease activity and clinical response. Molecular analysis of CD4+ T cells and CD19+ B cells demonstrated differentially methylated CPG sites and dysregulated expression of disease relevant genes, including PARP9, STAT1, and EPSTI1, associated with baseline IGS/IFNα levels. Differentially methylated CPG sites implicated altered transcription factor binding in B cells (GATA3, ETSI, NFATC2, EZH2) and T cells (p300, HIF1α).

          Conclusions

          Our data suggest that, in eRA, IFN-α can cause a sustained, epigenetically mediated, pathogenic increase in lymphocyte activation and proliferation, and that the IGS is, therefore, a robust prognostic biomarker. Its persistent harmful effects provide a rationale for the initial therapeutic targeting of IFN-α in selected patients with eRA.

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          Most cited references44

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          The american rheumatism association 1987 revised criteria for the classification of rheumatoid arthritis

          The revised criteria for the classification of rheumatoid arthritis (RA) were formulated from a computerized analysis of 262 contemporary, consecutively studied patients with RA and 262 control subjects with rheumatic diseases other than RA (non-RA). The new criteria are as follows: 1) morning stiffness in and around joints lasting at least 1 hour before maximal improvement; 2) soft tissue swelling (arthritis) of 3 or more joint areas observed by a physician; 3) swelling (arthritis) of the proximal interphalangeal, metacarpophalangeal, or wrist joints; 4) symmetric swelling (arthritis); 5) rheumatoid nodules; 6) the presence of rheumatoid factor; and 7) radiographic erosions and/or periarticular osteopenia in hand and/or wrist joints. Criteria 1 through 4 must have been present for at least 6 weeks. Rheumatoid arthritis is defined by the presence of 4 or more criteria, and no further qualifications (classic, definite, or probable) or list of exclusions are required. In addition, a "classification tree" schema is presented which performs equally as well as the traditional (4 of 7) format. The new criteria demonstrated 91-94% sensitivity and 89% specificity for RA when compared with non-RA rheumatic disease control subjects.
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            2010 rheumatoid arthritis classification criteria: an American College of Rheumatology/European League Against Rheumatism collaborative initiative.

            The 1987 American College of Rheumatology (ACR; formerly the American Rheumatism Association) classification criteria for rheumatoid arthritis (RA) have been criticised for their lack of sensitivity in early disease. This work was undertaken to develop new classification criteria for RA. A joint working group from the ACR and the European League Against Rheumatism developed, in three phases, a new approach to classifying RA. The work focused on identifying, among patients newly presenting with undifferentiated inflammatory synovitis, factors that best discriminated between those who were and those who were not at high risk for persistent and/or erosive disease--this being the appropriate current paradigm underlying the disease construct 'RA'. In the new criteria set, classification as 'definite RA' is based on the confirmed presence of synovitis in at least one joint, absence of an alternative diagnosis better explaining the synovitis, and achievement of a total score of 6 or greater (of a possible 10) from the individual scores in four domains: number and site of involved joints (range 0-5), serological abnormality (range 0-3), elevated acute-phase response (range 0-1) and symptom duration (two levels; range 0-1). This new classification system redefines the current paradigm of RA by focusing on features at earlier stages of disease that are associated with persistent and/or erosive disease, rather than defining the disease by its late-stage features. This will refocus attention on the important need for earlier diagnosis and institution of effective disease-suppressing therapy to prevent or minimise the occurrence of the undesirable sequelae that currently comprise the paradigm underlying the disease construct 'RA'.
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              UpSet: Visualization of Intersecting Sets.

              Understanding relationships between sets is an important analysis task that has received widespread attention in the visualization community. The major challenge in this context is the combinatorial explosion of the number of set intersections if the number of sets exceeds a trivial threshold. In this paper we introduce UpSet, a novel visualization technique for the quantitative analysis of sets, their intersections, and aggregates of intersections. UpSet is focused on creating task-driven aggregates, communicating the size and properties of aggregates and intersections, and a duality between the visualization of the elements in a dataset and their set membership. UpSet visualizes set intersections in a matrix layout and introduces aggregates based on groupings and queries. The matrix layout enables the effective representation of associated data, such as the number of elements in the aggregates and intersections, as well as additional summary statistics derived from subset or element attributes. Sorting according to various measures enables a task-driven analysis of relevant intersections and aggregates. The elements represented in the sets and their associated attributes are visualized in a separate view. Queries based on containment in specific intersections, aggregates or driven by attribute filters are propagated between both views. We also introduce several advanced visual encodings and interaction methods to overcome the problems of varying scales and to address scalability. UpSet is web-based and open source. We demonstrate its general utility in multiple use cases from various domains.
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                Author and article information

                Journal
                Ann Rheum Dis
                Ann Rheum Dis
                annrheumdis
                ard
                Annals of the Rheumatic Diseases
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                0003-4967
                1468-2060
                September 2022
                9 June 2022
                : 81
                : 9
                : 1214-1223
                Affiliations
                [1 ] departmentTranslational and Clinical Research Institute , Newcastle University , Newcastle Upon Tyne, UK
                [2 ] departmentLaboratory of Dendritic Cell Immunobiology , Institut Pasteur , Paris, France
                [3 ] departmentCenter for Translational Research , Institut Pasteur , Paris, France
                [4 ] departmentCentre for Translational Bioinformatics , William Harvey Research Institute , London, UK
                [5 ] departmentBioinformatics Support Unit , Newcastle University Faculty of Medical Sciences , Newcastle Upon Tyne, UK
                [6 ] departmentDepartment of Statistical Science , University College London , London, UK
                [7 ] departmentAcademic Department of Rheumatology , King's College London , London, UK
                [8 ] departmentNewcastle University Biosciences Institute , Newcastle University , Newcastle Upon Tyne, UK
                [9 ] departmentMusculoskeletal Research Group , The Freeman Hospital , Newcastle Upon Tyne, UK
                Author notes
                [Correspondence to ] Dr Faye A H Cooles, Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, Newcastle upon Tyne, UK; faye.cooles@ 123456ncl.ac.uk
                Author information
                http://orcid.org/0000-0002-8529-3337
                http://orcid.org/0000-0003-0083-8543
                http://orcid.org/0000-0001-6268-5509
                http://orcid.org/0000-0002-6079-2914
                http://orcid.org/0000-0002-9909-8209
                http://orcid.org/0000-0002-6103-7056
                Article
                annrheumdis-2022-222370
                10.1136/annrheumdis-2022-222370
                9380486
                35680389
                b7558482-ee15-4e5a-9d37-e4dc34bb470b
                © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 16 February 2022
                : 23 May 2022
                Funding
                Funded by: RTCure;
                Award ID: n/a
                Funded by: FundRef http://dx.doi.org/10.13039/100010089, JGW Patterson Foundation;
                Award ID: n/a
                Funded by: Versus Arthritis Research into Inflammatory Arthritis Centre;
                Award ID: 22072
                Funded by: IMID-Bio-UK;
                Award ID: n/a
                Funded by: National Institute for Health and Care Research (NIHR) Newcastle Biomedical Research Centre for Ageing and Long-Term Conditions;
                Award ID: n/a
                Funded by: FundRef http://dx.doi.org/10.13039/501100000265, Medical Research Council;
                Award ID: n/a
                Funded by: FundRef http://dx.doi.org/10.13039/501100000568, British Society for Rheumatology;
                Award ID: n/a
                Funded by: FundRef http://dx.doi.org/10.13039/501100000691, Academy of Medical Sciences;
                Award ID: n/a
                Funded by: FundRef http://dx.doi.org/10.13039/100010269, Wellcome Trust;
                Award ID: n/a
                Funded by: Connect Immune Reseach;
                Categories
                Rheumatoid Arthritis
                1506
                2311
                2502
                Custom metadata
                unlocked

                Immunology
                inflammation,arthritis, rheumatoid,antirheumatic agents,immune system diseases
                Immunology
                inflammation, arthritis, rheumatoid, antirheumatic agents, immune system diseases

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