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Sharma SD, Bluett J. Towards Personalized Medicine in Rheumatoid Arthritis. Open Access Rheumatol 2024; 16:89-114. [PMID: 38779469 PMCID: PMC11110814 DOI: 10.2147/oarrr.s372610] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 05/03/2024] [Indexed: 05/25/2024] Open
Abstract
Rheumatoid arthritis (RA) is a chronic, incurable, multisystem, inflammatory disease characterized by synovitis and extra-articular features. Although several advanced therapies targeting inflammatory mechanisms underlying the disease are available, no advanced therapy is universally effective. Therefore, a ceiling of treatment response is currently accepted where no advanced therapy is superior to another. The current challenge for medical research is the discovery and integration of predictive markers of drug response that can be used to personalize medicine so that the patient is started on "the right drug at the right time". This review article summarizes our current understanding of predicting response to anti-rheumatic drugs in RA, obstacles impeding the development of personalized medicine approaches and future research priorities to overcome these barriers.
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Affiliation(s)
- Seema D Sharma
- Centre for Musculoskeletal Research, Division of Musculoskeletal & Dermatological Sciences, School of Biological Sciences, University of Manchester, Manchester, UK
| | - James Bluett
- Centre for Musculoskeletal Research, Division of Musculoskeletal & Dermatological Sciences, School of Biological Sciences, University of Manchester, Manchester, UK
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2
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Gavan SP, Payne K, Barton A. Overcoming provider barriers to therapeutic drug monitoring of tumour necrosis factor inhibitors for rheumatoid arthritis: a qualitative analysis. Rheumatol Adv Pract 2024; 8:rkae030. [PMID: 38584854 PMCID: PMC10997432 DOI: 10.1093/rap/rkae030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Accepted: 02/25/2024] [Indexed: 04/09/2024] Open
Abstract
Objective Therapeutic drug monitoring (TDM) of tumour necrosis factor-α inhibitors (TNFi), by measuring drug levels and/or anti-drug antibodies, is being considered by various international bodies to improve patient health outcomes and the value of care for people with rheumatoid arthritis. Rheumatology care providers may perceive barriers to adopting TNFi TDM within their own clinical practice, limiting the potential for patients and health care systems to benefit. This study aimed to explore the barriers perceived by rheumatologists that may reduce their uptake of TNFi TDM for rheumatoid arthritis. Method Semi-structured one-to-one telephone interviews were performed with a convenience sample of senior rheumatologists with experience of managing people with rheumatoid arthritis. The interviews explored the rheumatologists' understanding of TDM and their beliefs about how it can be integrated into their own routine practice. Interviews were audio recorded, transcribed verbatim and anonymized. Transcripts were coded inductively and barriers to using TNFi TDM were identified by thematic framework analysis. Result A sample of eleven senior rheumatologists were interviewed. The rheumatologists described five barriers to adopting TNFi TDM in routine practice: (i) observing clinical need; (ii) understanding how testing can improve practice; (iii) insufficient clinical evidence; (iv) insufficient resources to pay for testing; and (v) insufficient capability to deliver testing. Conclusion Barriers to adopting TNFi TDM in routine care settings will restrict the ability for patients to benefit from effective monitoring strategies as they begin to emerge. Strategies to overcome these barriers are suggested which will require a coordinated response from stakeholders across health care systems.
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Affiliation(s)
- Sean P Gavan
- Manchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Katherine Payne
- Manchester Centre for Health Economics, Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Anne Barton
- NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Versus Arthritis Centre for Genetics and Genomics, Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
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3
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Nomair AM, Abdelati A, Dwedar FI, Elnemr R, Kamel YN, Nomeir HM. The impact of folate pathway variants on the outcome of methotrexate therapy in rheumatoid arthritis patients. Clin Rheumatol 2024; 43:971-983. [PMID: 38311638 PMCID: PMC10876746 DOI: 10.1007/s10067-024-06892-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2023] [Revised: 01/21/2024] [Accepted: 01/27/2024] [Indexed: 02/06/2024]
Abstract
BACKGROUND There are currently no validated criteria that entirely explain or predict response to methotrexate (MTX) treatment in rheumatoid arthritis (RA). We tried to identify the connection between three variants (RFC1 G80A (rs1051266), TYMS 2R/3R (rs34743033), and ATIC C347G (rs2372536)) in the folate pathway of MTX metabolism and the response to MTX monotherapy in a cohort of RA cases. METHODS A prospective study on 100 RA patients on MTX monotherapy was performed. Disease activity was measured at the start of treatment and 6 months after treatment with MTX. The patients were then split into two groups: those who responded to the treatment and those who did not. The molecular genetic study for the RFC1 (G80A) variant was employed via the PCR-restriction fragment length polymorphism (PCR-RFLP) technique, the ATIC (C347G) variant was performed using TaqMan allelic discrimination real-time PCR, and the tandem repeat sequences of TYMS (2R/3R) were amplified by conventional PCR and detected by agarose gel electrophoresis. RESULTS The genotype distribution of RFC-1 (G80A) showed significant variations among non-responders and responders in the recessive genetic model. A significant difference was found in TYMS (2R/3R) in the dominant and heterozygous genetic models. However, ATIC (C347G) genotype frequency did not exhibit substantial link with drug response in all genetic models. Furthermore, the genotype and allele rates of the analyzed variants did not show any significant association with adverse events in all genetic models. CONCLUSION The 80AA genotype of RFC-1 G80A and the 2R/3R or 3R/3R genotypes of TYMS 2R/3R are more vulnerable to the good consequences of MTX therapy. Key Points • Current recommendations support the gold standard role of MTX as a first-line monotherapy for RA patients. However, up to 40% of RA patients do not respond or exhibit partial response to MTX. • Persistent disease activity due to treatment unresponsiveness will affect the long-term outcomes in RA patients. • We aimed, through molecular genetic study, to identify the connection between three variants in the folate pathway of MTX metabolism and the response to methotrexate monotherapy in a cohort of RA patients.
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Affiliation(s)
- Azhar M Nomair
- Department of Chemical Pathology, Medical Research Institute, Alexandria University, Alexandria, Egypt
| | - Abeer Abdelati
- Department of Internal Medicine, Rheumatology and Clinical Immunology Unit, Faculty of Medicine, Alexandria University, Alexandria, Egypt.
| | - Fatma I Dwedar
- Department of Medical Biochemistry, Faculty of Medicine, Alexandria University, Alexandria, Egypt
| | - Rehab Elnemr
- Department of Physical Medicine Rheumatology and Rehabilitation, Faculty of Medicine, Alexandria University, Alexandria, Egypt
| | - Yasmine N Kamel
- Department of Medical Biochemistry, Faculty of Medicine, Alexandria University, Alexandria, Egypt
| | - Hanan M Nomeir
- Department of Medical Biochemistry, Faculty of Medicine, Alexandria University, Alexandria, Egypt
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4
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Brown P, Pratt AG, Hyrich KL. Therapeutic advances in rheumatoid arthritis. BMJ 2024; 384:e070856. [PMID: 38233032 DOI: 10.1136/bmj-2022-070856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2024]
Abstract
Rheumatoid arthritis (RA) is one of the most common immune mediated inflammatory diseases. People with rheumatoid arthritis present with pain, swelling, and stiffness that typically affects symmetrically distributed small and large joints. Without effective treatment, significant joint damage, disability, and work loss develop, owing to chronic inflammation of the joint lining (synovium). Over the past 25 years, the management of this condition has been revolutionized, resulting in substantially higher levels of disease remission and better long term outcomes. This improvement reflects a paradigm shift towards early and aggressive pharmacological intervention coupled with a proliferation in treatment choice, in turn related to enhanced pathobiological understanding and the advent of new drugs for rheumatoid arthritis. Following an overview of these developments from a historical perspective, and with a general audience in mind, this review focuses on newer, targeted treatments in an ever evolving landscape. The review highlights ongoing areas of debate and unmet need, including the proportion of patients with persistent, difficult-to-treat disease, despite recent advances. Also discussed are personalized, strategic approaches to individual patients, the role for imaging in clinical decision making, and the goal of sustained, drug free remission and disease prevention in the future.
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Affiliation(s)
- Philip Brown
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
- National Institute for Health and Care Research Newcastle Biomedical Research Centre, Newcastle University, Newcastle upon Tyne Hospitals and Cumbria, Northumberland; and Tyne and Wear NHS Foundation Trusts, Newcastle upon Tyne, UK
| | - Arthur G Pratt
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, UK
- National Institute for Health and Care Research Newcastle Biomedical Research Centre, Newcastle University, Newcastle upon Tyne Hospitals and Cumbria, Northumberland; and Tyne and Wear NHS Foundation Trusts, Newcastle upon Tyne, UK
| | - Kimme L Hyrich
- Centre for Musculoskeletal Research, University of Manchester, Manchester Academic Health Sciences Centre, Manchester, UK
- National Institute for Health and Care Research Manchester Biomedical Research Centre, Manchester University Hospitals NHS Foundation Trust, Manchester, UK
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5
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Lei Q, Yang J, Li L, Zhao N, Lu C, Lu A, He X. Lipid metabolism and rheumatoid arthritis. Front Immunol 2023; 14:1190607. [PMID: 37325667 PMCID: PMC10264672 DOI: 10.3389/fimmu.2023.1190607] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 05/17/2023] [Indexed: 06/17/2023] Open
Abstract
As a chronic progressive autoimmune disease, rheumatoid arthritis (RA) is characterized by mainly damaging the synovium of peripheral joints and causing joint destruction and early disability. RA is also associated with a high incidence rate and mortality of cardiovascular disease. Recently, the relationship between lipid metabolism and RA has gradually attracted attention. Plasma lipid changes in RA patients are often detected in clinical tests, the systemic inflammatory status and drug treatment of RA patients can interact with the metabolic level of the body. With the development of lipid metabolomics, the changes of lipid small molecules and potential metabolic pathways have been gradually discovered, which makes the lipid metabolism of RA patients or the systemic changes of lipid metabolism after treatment more and more comprehensive. This article reviews the lipid level of RA patients, as well as the relationship between inflammation, joint destruction, cardiovascular disease, and lipid level. In addition, this review describes the effect of anti-rheumatic drugs or dietary intervention on the lipid profile of RA patients to better understand RA.
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Affiliation(s)
- Qian Lei
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
- Law Sau Fai Institute for Advancing Translational Medicine in Bone and Joint Diseases, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, Hong Kong SAR, China
| | - Jie Yang
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Li Li
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Ning Zhao
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Cheng Lu
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
| | - Aiping Lu
- Law Sau Fai Institute for Advancing Translational Medicine in Bone and Joint Diseases, School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, Hong Kong SAR, China
- Shanghai GuangHua Hospital of Integrated Traditional Chinese and Western Medicine, Institute of Arthritis Research, Shanghai Academy of Chinese Medical Sciences, Shanghai, China
- Guangdong-Hong Kong-Macau Joint Lab on Chinese Medicine and Immune Disease Research, Guangzhou, China
| | - Xiaojuan He
- Institute of Basic Research in Clinical Medicine, China Academy of Chinese Medical Sciences, Beijing, China
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Gwinnutt JM, Norton S, Hyrich KL, Lunt M, Combe B, Rincheval N, Ruyssen‐Witrand A, Fautrel B, McWilliams DF, Walsh DA, Nikiphorou E, Kiely PDW, Young A, Chipping JR, MacGregor A, Verstappen SMM. Influence of Social Support, Financial Status, and Lifestyle on the Disparity Between Inflammation and Disability in Rheumatoid Arthritis. Arthritis Care Res (Hoboken) 2023; 75:1026-1035. [PMID: 36576238 PMCID: PMC10952173 DOI: 10.1002/acr.24996] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Revised: 07/13/2022] [Accepted: 08/02/2022] [Indexed: 12/29/2022]
Abstract
OBJECTIVE To investigate how social support, financial status, and lifestyle influence the development of excess disability in rheumatoid arthritis (RA). METHODS Data were obtained from the Étude et Suivi des Polyarthrites Indifférenciées Récentes (ESPOIR) cohort study of people with RA. A previous analysis identified groups with similar inflammation trajectories but markedly different disability over 10 years; those in the higher disability trajectory groups were defined as having "excess disability." Self-reported data regarding contextual factors (social support, financial situation, lifestyle) were obtained from participants, and they completed patient-reported outcome measures (pain, fatigue, anxiety, depression) at baseline. The direct effect of the contextual factors on excess disability and the effect mediated by patient-reported outcome measures were assessed using structural equation models. Findings were validated in 2 independent data sets (Norfolk Arthritis Register [NOAR], Early Rheumatoid Arthritis Network [ERAN]). RESULTS Of 538 included ESPOIR participants (mean age ± SD 48.3 ± 12.2 years; 79.2% women), 200 participants (37.2%) were in the excess disability group. Less social support (β = 0.17 [95% confidence interval (95% CI) 0.08, 0.26]), worse financial situation (β = 0.24 [95% CI 0.14, 0.34]), less exercise (β = 0.17 [95% CI 0.09-0.25]), and less education (β = 0.15 [95% CI 0.06, 0.23]) were associated with excess disability group membership; smoking, alcohol consumption, and body mass index were not. Fatigue and depression mediated a small proportion of these effects. Similar results were seen in NOAR and ERAN. CONCLUSION Greater emphasis is needed on the economic and social contexts of individuals with RA at presentation; these factors might influence disability over the following decade.
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Affiliation(s)
| | | | - Kimme L. Hyrich
- University of Manchester and Manchester University NHS Foundation TrustManchesterUK
| | - Mark Lunt
- University of ManchesterManchesterUK
| | | | | | | | - Bruno Fautrel
- Sorbonne University, Assistance Publique Hôpitaux de Paris, Pitie Salpetriere Hospital, and Pierre Louis Institute of Epidemiology and Public HealthParisFrance
| | - Daniel F. McWilliams
- University of Nottingham and NIHR Nottingham Biomedical Research CentreNottinghamUK
| | - David A. Walsh
- University of Nottingham and NIHR Nottingham Biomedical Research Centre, Nottingham, UK, Sherwood Forest Hospitals NHS Foundation TrustSutton‐in‐AshfieldUK
| | | | - Patrick D. W. Kiely
- St. George's University Hospitals NHS Foundation Trust and St. George's University of LondonLondonUK
| | | | - Jacqueline R. Chipping
- University of East Anglia and Norfolk and Norwich University Hospitals NHS TrustNorwichUK
| | - Alex MacGregor
- University of East Anglia and Norfolk and Norwich University Hospitals NHS TrustNorwichUK
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Smith SL, Alexander S, Nair N, Viatte S, Eyre S, Hyrich KL, Morgan AW, Wilson AG, Isaacs JD, Plant D, Barton A. Pre-treatment calprotectin (MRP8/14) provides no added value to testing CRP alone in terms of predicting response to TNF inhibitors in rheumatoid arthritis in a post hoc analysis. Ann Rheum Dis 2023; 82:611-620. [PMID: 36810200 PMCID: PMC10176427 DOI: 10.1136/ard-2022-222519] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 01/12/2023] [Indexed: 02/23/2023]
Abstract
OBJECTIVES The inflammatory protein calprotectin (MRP8/14) has been identified as a promising biomarker of treatment response in rheumatoid arthritis (RA). Our aim was to test MRP8/14 as a biomarker of response to tumour necrosis factor (TNF)-inhibitors in the largest RA cohort to date and to compare with C-reactive protein (CRP). METHODS Serum MRP8/14 was measured in 470 patients with RA about to commence treatment with adalimumab (n=196) or etanercept (n=274). Additionally, MRP8/14 was measured in the 3-month sera of 179 adalimumab-treated patients. Response was determined using European League against Rheumatism (EULAR) response criteria calculated using the traditional 4-component (4C) DAS28-CRP and alternate validated versions using 3-component (3C) and 2-component (2C), clinical disease activity index (CDAI) improvement criteria and change in individual outcome measures. Logistic/linear regression models were fitted for response outcome. RESULTS In the 3C and 2C models, patients with RA were 1.92 (CI: 1.04 to 3.54) and 2.03 (CI: 1.09 to 3.78) times more likely to be classified as EULAR responders if they had high (75th quartile) pre-treatment levels of MRP8/14 compared with low (25th quartile). No significant associations were observed for the 4C model. When only using CRP as a predictor, in the 3C and 2C analyses, patients above the 75th quartile were 3.79 (CI: 1.81 to 7.93) and 3.58 (CI: 1.74 to 7.35) times more likely to be EULAR responders and addition of MRP8/14 did not significantly improve model fit (p values=0.62 and 0.80, respectively). No significant associations were observed in the 4C analysis. Exclusion of CRP from the outcome measure (CDAI) did not result in any significant associations with MRP8/14 (OR 1.00 (CI: 0.99 to 1.01), suggesting that the associations were due to the correlation with CRP and that there is no additional utility of MRP8/14 beyond use of CRP in patients with RA starting TNFi therapy. CONCLUSION Beyond correlation with CRP, we found no evidence to suggest that MRP8/14 explains additional variability in response to TNFi in patients with RA over and above CRP alone.
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Affiliation(s)
- Samantha Louise Smith
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
| | - Sheree Alexander
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
| | - Nisha Nair
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Sebastien Viatte
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
- Lydia Becker Institute of Immunology and Inflammation, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, UK
| | - Stephen Eyre
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
| | - Kimme L Hyrich
- NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
- Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK
| | - Ann W Morgan
- School of Medicine, University of Leeds and NIHR Leeds Musculoskeletal Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Anthony G Wilson
- UCD School of Medicine and Medical Science, Conway Institute, University College Dublin, Dublin, Ireland
| | - John D Isaacs
- Musculoskeletal Research Group, Translational and Clinical Research Institute, Newcastle University and NIHR Newcastle Biomedical Research Centre, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Darren Plant
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Anne Barton
- Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, The University of Manchester, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
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8
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Winthrop KL, Isaacs JD, Mease PJ, Boumpas DT, Baraliakos X, Gottenberg JE, Siebert S, Mosca M, Basu N, Orange D, Lories R, Aletaha D, McInnes IB, Huizinga TWJ, Voll RE, Gravallese EM, Breedveld FC, Smolen JS. Unmet need in rheumatology: reports from the Advances in Targeted Therapies meeting, 2022. Ann Rheum Dis 2023; 82:594-598. [PMID: 36702529 DOI: 10.1136/ard-2022-223528] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Accepted: 01/03/2023] [Indexed: 01/27/2023]
Abstract
To detail the unmet clinical and scientific needs in the field of rheumatology. After a 2-year hiatus due to the SARS-CoV-2 pandemic, the 22nd annual international Advances in Targeted Therapies meeting brought together more than 100 leading basic scientists and clinical researchers in rheumatology, immunology, epidemiology, molecular biology and other specialties. Breakout sessions were convened with experts in five rheumatological disease-specific groups including: rheumatoid arthritis (RA), psoriatic arthritis, axial spondyloarthritis, systemic lupus erythematosus and connective tissue diseases (CTDs). In each group, experts were asked to identify and prioritise current unmet needs in clinical and translational research, as well as highlight recent progress in meeting formerly identified unmet needs. Clinical trial design innovation was emphasised across all disease states. Within RA, developing therapies and trials for refractory disease patients remained among the most important identified unmet needs and within lupus and spondyloarthritis the need to account for disease endotypes was highlighted. The RA group also identified the need to better understand the natural history of RA, pre-RA states and the need ultimately for precision medicine. In CTD generally, experts focused on the need to better identify molecular, cellular and clinical signals of early and undifferentiated disease in order to identify novel drug targets. There remains a strong need to develop therapies and therapeutic strategies for those with treatment-refractory disease. Increasingly it is clear that we need to better understand the natural history of these diseases, including their 'predisease' states, and identify molecular signatures, including at a tissue level, which can facilitate disease diagnosis and treatment. As these unmet needs in the field of rheumatic diseases have been identified based on consensus of expert clinicians and scientists in the field, this document may serve individual researchers, institutions and industry to help prioritise their scientific activities.
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Affiliation(s)
- Kevin L Winthrop
- Department of Medicine, Oregon Health and Sciences University (OHSU), Portland, Oregon, USA
| | - John D Isaacs
- Department of Clinical Rheumatology, Newcastle University, Newcastle upon Tyne, UK
| | - Philip J Mease
- Swedish Medical Center; University of Washington, Seattle, Washington, USA
| | - Dimitrios T Boumpas
- 4th Department of Internal Medicine, Rheumatology and Clinical Immunology Unit, National and Kapodistrian University of Athens, Athens, Greece
| | | | - Jacques-Eric Gottenberg
- Centre National de Référence des Maladies AutoImmunes Systémiques Rares CHU Strasbourg-Hautepierre, Strasbourg, France
| | - Stefan Siebert
- College of Medical, Veterinary & Life Sciences; University of Glasgow, Glasgow, UK
| | - Marta Mosca
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Neil Basu
- College of Medical, Veterinary & Life Sciences; University of Glasgow, Glasgow, UK
| | - Dana Orange
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - R Lories
- Division of Rheumatology Hospital for Special Surgery, New York, NY, USA
| | - Daniel Aletaha
- Division of Rheumatology, Department of Medicine 3, Medical University of Vienna, Wien, Austria
| | - Iain B McInnes
- College of Medical, Veterinary & Life Sciences; University of Glasgow, Glasgow, UK
| | - Tom W J Huizinga
- Division of Rheumatology, University of Leuven, Leuven, The Netherlands
| | - Reinhard E Voll
- Department of Rheumatology and Clinical Immunology, University of Freiburg, Freiburg, Germany
| | - Ellen M Gravallese
- Brigham and Women‟s Hospital, Harvard University, Boston, Massachusetts, USA
| | - Ferry C Breedveld
- Department of Rheumatology, University of Leiden, Leiden, The Netherlands
| | - Josef S Smolen
- Division of Rheumatology, Department of Medicine 3, Medical University of Vienna, Wien, Austria
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9
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Robinson JI, Md Yusof MY, Davies V, Wild D, Morgan M, Taylor JC, El-Sherbiny Y, Morris DL, Liu L, Rawstron AC, Buch MH, Plant D, Cordell HJ, Isaacs JD, Bruce IN, Emery P, Barton A, Vyse TJ, Barrett JH, Vital EM, Morgan AW. Comprehensive genetic and functional analyses of Fc gamma receptors influence on response to rituximab therapy for autoimmunity. EBioMedicine 2022; 86:104343. [PMID: 36371989 PMCID: PMC9663864 DOI: 10.1016/j.ebiom.2022.104343] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 10/07/2022] [Accepted: 10/18/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Rituximab is widely used to treat autoimmunity but clinical response varies. Efficacy is determined by the efficiency of B-cell depletion, which may depend on various Fc gamma receptor (FcγR)-dependent mechanisms. Study of FcγR is challenging due to the complexity of the FCGR genetic locus. We sought to assess the effect of FCGR variants on clinical response, B-cell depletion and NK-cell-mediated killing in rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE). METHODS A longitudinal cohort study was conducted in 835 patients [RA = 573; SLE = 262]. Clinical outcome measures were two-component disease activity score in 28-joints (2C-DAS28CRP) for RA and British Isles Lupus Assessment Group (BILAG)-2004 major clinical response (MCR) for SLE at 6 months. B-cells were evaluated by highly-sensitive flow cytometry. Single nucleotide polymorphism and copy number variation for genes encoding five FcγRs were measured using multiplex ligation-dependent probe amplification. Ex vivo studies assessed NK-cell antibody-dependent cellular cytotoxicity (ADCC) and FcγR expression. FINDINGS In RA, carriage of FCGR3A-158V and increased FCGR3A-158V copies were associated with greater 2C-DAS28CRP response (adjusted for baseline 2C-DAS28CRP). In SLE, MCR was associated with increased FCGR3A-158V, OR 1.64 (95% CI 1.12-2.41) and FCGR2C-ORF OR 1.93 (95% CI 1.09-3.40) copies. 236/413 (57%) patients with B-cell data achieved complete depletion. Homozygosity for FCGR3A-158V and increased FCGR3A-158V copies were associated with complete depletion in combined analyses. FCGR3A genotype was associated with rituximab-induced ADCC, and increased NK-cell FcγRIIIa expression was associated with improved clinical response and depletion in vivo. Furthermore, disease status and concomitant therapies impacted both NK-cell FcγRIIIa expression and ADCC. INTERPRETATION FcγRIIIa is the major low affinity FcγR associated with rituximab response. Increased copies of the FCGR3A-158V allele (higher affinity for IgG1), influences clinical and biological responses to rituximab in autoimmunity. Enhancing FcγR-effector functions could improve the next generation of CD20-depleting therapies and genotyping may stratify patients for optimal treatment protocols. FUNDING Medical Research Council, National Institute for Health and Care Research, Versus Arthritis.
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Affiliation(s)
- James I Robinson
- School of Medicine, University of Leeds and NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, UK
| | - Md Yuzaiful Md Yusof
- School of Medicine, University of Leeds and NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, UK
| | - Vinny Davies
- School of Medicine, University of Leeds and NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, UK; School of Mathematics and Statistics, University of Glasgow, UK
| | - Dawn Wild
- School of Medicine, University of Leeds and NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, UK
| | - Michael Morgan
- School of Medicine, University of Leeds and NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, UK; Cancer Research UK Cambridge Institute, University of Cambridge, UK
| | - John C Taylor
- School of Medicine, University of Leeds and NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, UK
| | - Yasser El-Sherbiny
- Department of Biosciences, School of Science and Technology, Nottingham Trent University, UK; Department of Clinical Pathology, Faculty of Medicine, Mansoura University, Mansoura, Egypt
| | - David L Morris
- Department of Medical and Molecular Genetics, Faculty of Life Sciences and Medicine, King's College London, UK
| | - Lu Liu
- Department of Medical and Molecular Genetics, Faculty of Life Sciences and Medicine, King's College London, UK
| | - Andy C Rawstron
- Haematological Malignancy Diagnostic Service, Leeds Teaching Hospitals NHS Trust, UK
| | - Maya H Buch
- School of Medicine, University of Leeds and NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, UK; Versus Arthritis Centre for Genetics and Genomics, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, The University of Manchester and NIHR Manchester BRC, Manchester University NHS Foundation Trust, UK
| | - Darren Plant
- Versus Arthritis Centre for Genetics and Genomics, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, The University of Manchester and NIHR Manchester BRC, Manchester University NHS Foundation Trust, UK
| | | | - John D Isaacs
- Translational and Clinical Research Institute, Newcastle University and Musculoskeletal Unit, Newcastle upon Tyne Hospitals NHS Foundation Trust, UK
| | - Ian N Bruce
- Versus Arthritis Centre for Genetics and Genomics, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, The University of Manchester and NIHR Manchester BRC, Manchester University NHS Foundation Trust, UK
| | - Paul Emery
- School of Medicine, University of Leeds and NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, UK; NIHR Leeds Medtech and In vitro Diagnostics Co-operative, Leeds Teaching Hospitals NHS Trust, UK
| | - Anne Barton
- Versus Arthritis Centre for Genetics and Genomics, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, The University of Manchester and NIHR Manchester BRC, Manchester University NHS Foundation Trust, UK
| | - Timothy J Vyse
- Department of Medical and Molecular Genetics, Faculty of Life Sciences and Medicine, King's College London, UK
| | - Jennifer H Barrett
- School of Medicine, University of Leeds and NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, UK
| | - Edward M Vital
- School of Medicine, University of Leeds and NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, UK
| | - Ann W Morgan
- School of Medicine, University of Leeds and NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, UK; NIHR Leeds Medtech and In vitro Diagnostics Co-operative, Leeds Teaching Hospitals NHS Trust, UK.
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10
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Brkic A, Łosińska K, Pripp AH, Korkosz M, Haugeberg G. Remission or Not Remission, That's the Question: Shedding Light on Remission and the Impact of Objective and Subjective Measures Reflecting Disease Activity in Rheumatoid Arthritis. Rheumatol Ther 2022; 9:1531-1547. [PMID: 36129667 PMCID: PMC9561477 DOI: 10.1007/s40744-022-00490-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2022] [Accepted: 08/26/2022] [Indexed: 11/28/2022] Open
Abstract
Introduction The inclusion of certain variables in remission formulas for rheumatoid arthritis (RA) may give rise to discrepancies. An increase in patient global assessment (PGA), a variable showing the patient's self-evaluation of their disease activity, may alone tilt a patient out of remission when using certain remission-assessing methods. This study aimed to explore differences in remission rates among various formulas and the impact of PGA and other clinical variables on the calculation of remission. Methods Data were collected from RA patients monitored during the years 2015–2019 at an outpatient clinic in southern Norway. Linear and logistic regression assessed associations between PGA, other RA-related variables, and remission-assessing methods. Results Remission rates were 23%, 65%, and 73% in 2019 when assessing the same 502 RA patients using Boolean remission, Boolean remission without PGA, and the disease activity score (DAS) with C-reactive peptide [DAS28(3)-CRP] method, respectively. Among the same population that year, 27% reported PGA ≤ 10, 74% had a tender joint count of ≤ 1, 85% had a swollen joint count of ≤ 1, and 86% had CRP ≤ 10. Pain (standardized coefficient β = 0.7, p < 0.001) was most strongly associated with PGA. Pain, fatigue, and morning stiffness were substantially associated with the remission-assessing methods that incorporated PGA. Conclusions Since PGA is strongly associated with the patient’s perception of pain and may not reflect the inflammatory process, our study challenges the application of remission-assessing methods containing PGA when monitoring RA patients in the outpatient clinic. We recommend using measures that are less likely to be associated with noninflammatory pain and psychosocial factors. Supplementary Information The online version contains supplementary material available at 10.1007/s40744-022-00490-5.
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Affiliation(s)
- Alen Brkic
- Research Department, Sorlandet Hospital, Kristiansand, Norway. .,Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.
| | - Katarzyna Łosińska
- Division of Rheumatology and Immunology, University Hospital, Krakow, Poland
| | - Are Hugo Pripp
- Oslo Centre of Biostatistics and Epidemiology, Oslo University Hospital, Oslo, Norway
| | - Mariusz Korkosz
- Division of Rheumatology and Immunology, University Hospital, Krakow, Poland.,Department of Rheumatology and Immunology, Jagiellonian University Medical College, Krakow, Poland
| | - Glenn Haugeberg
- Research Department, Sorlandet Hospital, Kristiansand, Norway.,Department of Neuromedicine and Movement Science, Faculty of Medicine and Health Sciences, NTNU, Norwegian University of Science and Technology, Trondheim, Norway.,Division of Rheumatology, Department of Internal Medicine, Sorlandet Hospital, Kristiansand, Norway
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11
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Gwinnutt JM, Norton S, Hyrich KL, Lunt M, Combe B, Rincheval N, Ruyssen-Witrand A, Fautrel B, McWilliams DF, Walsh DA, Nikiphorou E, Kiely PDW, Young A, Chipping JR, MacGregor A, Verstappen SMM. Exploring the disparity between inflammation and disability in the 10-year outcomes of people with rheumatoid arthritis. Rheumatology (Oxford) 2022; 61:4687-4701. [PMID: 35274696 PMCID: PMC9707289 DOI: 10.1093/rheumatology/keac137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2022] [Accepted: 02/25/2022] [Indexed: 01/10/2023] Open
Abstract
OBJECTIVES To identify groups of people with RA with different disability trajectories over 10 years, despite comparable levels of inflammation. METHODS Data for this analysis came from three European prospective cohort studies of people with RA [Norfolk Arthritis Register (NOAR), Early RA Network (ERAN), Étude et Suivi des Polyarthrites Indifférenciées Récentes (ESPOIR)]. Participants were assessed regularly over 8 (ERAN) to 10 (NOAR/ESPOIR) years. Inclusion criteria were: recruited after 1 January 2000, <24 months baseline symptom duration, and disability (HAQ) and inflammation [two-component DAS28 (DAS28-2C)] recorded at baseline and at one other follow-up. People in each cohort also completed patient-reported outcome measures at each assessment (pain, fatigue, depressive symptoms). Group-based trajectory models were used to identify distinct groups of people with similar HAQ and DAS28-2C trajectories over follow-up. RESULTS This analysis included 2500 people with RA (NOAR: 1000, ESPOIR: 766, ERAN: 734). ESPOIR included more women and the participants were younger [mean (standard deviation) age: NOAR: 57.1 (14.6), ESPOIR: 47.6 (12.5), ERAN: 56.8 (13.8); women: NOAR: 63.9%, ESPOIR: 76.9%, ERAN: 69.1%). Within each cohort, two pairs of trajectories following the hypothesized pattern (comparable DAS28-2Cs but different HAQs) were identified. Higher pain, fatigue and depressive symptoms were associated with increased odds of being in the high HAQ trajectories. CONCLUSION Excess disability is persistent in RA. Controlling inflammation may not be sufficient to alleviate disability in all people with RA, and effective pain, fatigue and mood management may be needed in some groups to improve long-term function.
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Affiliation(s)
- James M Gwinnutt
- Correspondence to: James M Gwinnutt, Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK. E-mail:
| | - Sam Norton
- Health Psychology Section, Institute of Psychiatry, Psychology and Neuroscience,Centre for Rheumatic Diseases, Department of Inflammation Biology, Faculty of Life Sciences and Medicine, King’s College London, London
| | - Kimme L Hyrich
- Centre for Epidemiology Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester,NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
| | - Mark Lunt
- Centre for Epidemiology Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester
| | | | - Nathalie Rincheval
- Laboratory of Biostatistics and Epidemiology, University of Montpellier, Montpellier
| | - Adeline Ruyssen-Witrand
- Centre de Rhumatologie, Hôpital Purpan,Faculté de Médecine, Université Toulouse III, Paul Sabatier University, Inserm UMR1027, Toulouse
| | - Bruno Fautrel
- Department of Rheumatology, Sorbonne University—Assistance Publique Hôpitaux de Paris, Pitie Salpetriere Hospital,PEPITES team, Pierre Louis Institute of Epidemiology and Public Health, INSERM UMRS 1136, Paris, France
| | - Daniel F McWilliams
- Pain Centre Versus Arthritis, University of Nottingham,NIHR Nottingham Biomedical Research Centre, Nottingham
| | - David A Walsh
- Pain Centre Versus Arthritis, University of Nottingham,NIHR Nottingham Biomedical Research Centre, Nottingham,Department of Rheumatology, Sherwood Forest Hospitals NHS Foundation Trust, Sutton in Ashfield
| | - Elena Nikiphorou
- Centre for Rheumatic Diseases, Department of Inflammation Biology, Faculty of Life Sciences and Medicine, King’s College London, London,Rheumatology Department, King’s College Hospital
| | - Patrick D W Kiely
- Department of Rheumatology, St George’s University Hospitals NHS Foundation Trust,Institute of Medical and Biomedical Education, St George’s University of London, London
| | - Adam Young
- Centre for Health Services and Clinical Research, Life and Medical Sciences, University of Hertfordshire, Hatfield
| | - Jacqueline R Chipping
- Norwich Medical School, University of East Anglia,Rheumatology Department, Norfolk and Norwich University Hospitals NHS Trust, Norwich, UK
| | - Alex MacGregor
- Norwich Medical School, University of East Anglia,Rheumatology Department, Norfolk and Norwich University Hospitals NHS Trust, Norwich, UK
| | - Suzanne M M Verstappen
- Centre for Epidemiology Versus Arthritis, Division of Musculoskeletal and Dermatological Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester,NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, UK
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12
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Aluko A, Ranganathan P. Pharmacogenetics of Drug Therapies in Rheumatoid Arthritis. Methods Mol Biol 2022; 2547:527-567. [PMID: 36068476 DOI: 10.1007/978-1-0716-2573-6_19] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Rheumatoid arthritis (RA) is a chronic systemic inflammatory disorder that can lead to severe joint damage and is often associated with a high morbidity and disability. Disease-modifying anti-rheumatic drugs (DMARDs) are the mainstay of treatment in RA. DMARDs not only relieve the clinical signs and symptoms of RA but also inhibit the radiographic progression of disease and reduce the effects of chronic systemic inflammation. Since the introduction of biologic DMARDs in the late 1990s, the therapeutic range of options for the management of RA has significantly expanded. However, patients' response to these agents is not uniform with considerable variability in both efficacy and toxicity. There are no reliable means of predicting an individual patient's response to a given DMARD prior to initiation of therapy. In this chapter, the current published literature on the pharmacogenetics of traditional DMARDS and the newer biologic DMARDs in RA is highlighted. Pharmacogenetics may help individualize drug therapy in patients with RA by providing reliable biomarkers to predict medication toxicity and efficacy.
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Affiliation(s)
- Atinuke Aluko
- Division of Rheumatology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Prabha Ranganathan
- Division of Rheumatology, Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA.
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13
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Berso JDL, Montes EG, Vellosa JCR, Mansani FP, Toledo Júnior ADO, Schafranski MD. Comparison between DAS28-ESR and DAS28- CRPus for patients with rheumatoid arthritis: application in a population of southern Brazil. BRAZ J PHARM SCI 2022. [DOI: 10.1590/s2175-97902022e19752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
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14
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Gwinnutt JM, Alsafar H, Hyrich KL, Lunt M, Barton A, Verstappen SMM. Do people with rheumatoid arthritis maintain their physical activity level at treatment onset over the first year of methotrexate therapy? Rheumatology (Oxford) 2021; 60:4633-4642. [PMID: 33605404 PMCID: PMC8487269 DOI: 10.1093/rheumatology/keab060] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 01/14/2021] [Indexed: 01/12/2023] Open
Abstract
OBJECTIVES To describe how many people with RA reduce their baseline physical activity level over the first year of MTX treatment, and which factors predict this. METHODS Data came from the Rheumatoid Arthritis Medication Study (RAMS), a prospective cohort of people with early RA starting MTX. Participants reported demographics and completed questionnaires at baseline, and 6 and 12 months, including reporting the number of days per week they performed ≥20 min of physical activity, coded as none, low (1-3 days) or high (4-7 days). The physical activity levels of participants over 12 months are described. Predictors of stopping physical activity were assessed using multivariable logistic regression. RESULTS In total, 1468 participants were included [median (interquartile range) age 60 (50, 69) years; 957 (65.2%) women]. At baseline, the physical activity levels of the people with RA were: none = 408 (27.8%), low = 518 (35.3%) and high = 542 (36.9%). Eighty percent of participants maintained some physical activity or began physical activity between assessments (baseline to 6 months = 79.3%, 6 months to 12 months = 80.7%). In total, 24.1% of participants reduced physical activity and 11.3% of participants stopped performing physical activity between baseline and 6 months (6 months to 12 months: 22.6% and 10.2%, respectively). Baseline smoking, higher disability and greater socioeconomic deprivation were associated with stopping physical activity. CONCLUSION Many people with early RA were not performing physical activity when starting MTX, or stopped performing physical activity over the first year of treatment. These people may require interventions to stay active. These interventions need to be mindful of socioeconomic barriers to physical activity participation.
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Affiliation(s)
- James M Gwinnutt
- Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Faculty of Biology, Medicine and Health, University of Manchester
| | - Husain Alsafar
- Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Faculty of Biology, Medicine and Health, University of Manchester
| | - Kimme L Hyrich
- Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Faculty of Biology, Medicine and Health, University of Manchester.,NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust
| | - Mark Lunt
- Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Faculty of Biology, Medicine and Health, University of Manchester
| | - Anne Barton
- NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust.,Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Suzanne M M Verstappen
- Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Faculty of Biology, Medicine and Health, University of Manchester.,NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust
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15
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Ciregia F, Nys G, Cobraiville G, Badot V, Di Romana S, Sidiras P, Sokolova T, Durez P, Fillet M, Malaise MG, de Seny D. A Cross-Sectional and Longitudinal Study to Define Alarmins and A-SAA Variants as Companion Markers in Early Rheumatoid Arthritis. Front Immunol 2021; 12:638814. [PMID: 34489924 PMCID: PMC8418532 DOI: 10.3389/fimmu.2021.638814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2020] [Accepted: 08/04/2021] [Indexed: 11/24/2022] Open
Abstract
Nowadays, in the study of rheumatoid arthritis (RA), more and more interest is directed towards an earlier effective therapeutic intervention and the determination of companion markers for predicting response to therapy with the goal to prevent progressive joint damage, deformities, and functional disability. With the present work, we aimed at quantifying in a cohort of early RA (ERA) patients naïve to DMARD therapy, proteins whose increase was previously found associated with RA: serum amyloid A (A-SAA) and alarmins. Five A-SAA variants (SAA1α, SAA1β, SAA1γ, SAA2α, and SAA2β) but also S100A8 and S100A9 proteins were simultaneously quantified in plasma applying a method based on single targeted bottom-up proteomics LC-MS/MS. First, we compared their expression between ERA (n = 100) and healthy subjects (n = 100), then we focused on their trend by monitoring ERA patients naïve to DMARD treatment, 1 year after starting therapy. Only SAA1α and SAA2α levels were increased in ERA patients, and SAA2α appears to mostly mediate the pathological role of A-SAA. Levels of these variants, together with SAA1β, only decreased under biologic DMARD treatment but not under methotrexate monotherapy. This study highlights the importance to better understand the modulation of expression of these variants in ERA in order to subsequently better characterize their biological function. On the other hand, alarmin expression increased in ERA compared to controls but remained elevated after 12 months of methotrexate or biologic treatment. The work overcomes the concept of considering these proteins as biomarkers for diagnosis, demonstrating that SAA1α, SAA1β, and SAA2α variants but also S100A8 and S100A9 do not respond to all early treatment in ERA and should be rather considered as companion markers useful to improve the follow-up of treatment response and remission state. Moreover, it suggests that earlier use of biologics in addition to methotrexate may be worth considering.
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Affiliation(s)
- Federica Ciregia
- Laboratory of Rheumatology, University of Liège, Centre Hospitalier Universitaire (CHU) de Liège, Liège, Belgium
| | - Gwenaël Nys
- Laboratory for the Analysis of Medicines, Centre Interdisciplinaire De Recherche Sur Le Médicament (CIRM), Department of Pharmacy, University of Liège, Liège, Belgium
| | - Gaël Cobraiville
- Laboratory of Rheumatology, University of Liège, Centre Hospitalier Universitaire (CHU) de Liège, Liège, Belgium
| | - Valérie Badot
- Department of Rheumatology, Centre Hospitalier Universitaire (CHU) Brugmann, Bruxelles, Belgium
| | - Silvana Di Romana
- Department of Rheumatology, Centre Hospitalier Universitaire (CHU) Saint-Pierre, Bruxelles, Belgium
| | - Paschalis Sidiras
- Department of Rheumatology, Hôpital Erasme, Université Libre de Bruxelles, Bruxelles, Belgium
| | - Tatiana Sokolova
- Department of Rheumatology, Cliniques Universitaires Saint-Luc, Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Bruxelles, Belgium
| | - Patrick Durez
- Department of Rheumatology, Cliniques Universitaires Saint-Luc, Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain, Bruxelles, Belgium
| | - Marianne Fillet
- Laboratory for the Analysis of Medicines, Centre Interdisciplinaire De Recherche Sur Le Médicament (CIRM), Department of Pharmacy, University of Liège, Liège, Belgium
| | - Michel G Malaise
- Laboratory of Rheumatology, University of Liège, Centre Hospitalier Universitaire (CHU) de Liège, Liège, Belgium
| | - Dominique de Seny
- Laboratory of Rheumatology, University of Liège, Centre Hospitalier Universitaire (CHU) de Liège, Liège, Belgium
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16
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Seror R, Nocturne G, Mariette X. Current and future therapies for primary Sjögren syndrome. Nat Rev Rheumatol 2021; 17:475-486. [PMID: 34188206 DOI: 10.1038/s41584-021-00634-x] [Citation(s) in RCA: 56] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/11/2021] [Indexed: 02/06/2023]
Abstract
Primary Sjögren syndrome (pSS) is a systemic autoimmune disease that is characterized by a triad of symptoms that affect all patients (dryness, pain and fatigue). In addition, systemic involvement can affect between one-third and one-half of patients. The management of patients with pSS has been negatively affected by a lack of effective treatments; however, knowledge of the epidemiology of pSS has increased, and advances in developing classification criteria, systemic disease activity scoring and patient-reported outcomes have been made during the past decade. Progress has also been made in understanding the mechanisms that underlie the pathogenesis of pSS, which has enabled a more targeted therapeutic approach to be taken. At present, therapeutic decisions rely on the evaluation of symptoms and systemic manifestations and are mostly formed on the basis of experience rather than evidence, and on similarities with other autoimmune diseases, although the 2019 management recommendations from EULAR are now being used to inform clinical management of pSS. This Review summarizes the available evidence for systemic treatments for pSS and includes discussions of advances in outcome assessment, the current evidence for DMARD use and an overview of promising future therapeutics.
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Affiliation(s)
- Raphaèle Seror
- Department of Rheumatology, Université Paris-Saclay, INSERM U1184: Centre for Immunology of Viral Infections and Autoimmune Diseases, Assistance Publique-Hôpitaux de Paris, Hôpital Bicêtre, Le Kremlin Bicêtre, Paris, France
| | - Gaetane Nocturne
- Department of Rheumatology, Université Paris-Saclay, INSERM U1184: Centre for Immunology of Viral Infections and Autoimmune Diseases, Assistance Publique-Hôpitaux de Paris, Hôpital Bicêtre, Le Kremlin Bicêtre, Paris, France
| | - Xavier Mariette
- Department of Rheumatology, Université Paris-Saclay, INSERM U1184: Centre for Immunology of Viral Infections and Autoimmune Diseases, Assistance Publique-Hôpitaux de Paris, Hôpital Bicêtre, Le Kremlin Bicêtre, Paris, France.
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17
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Gwinnutt JM, Norton S, Hyrich KL, Lunt M, Barton A, Cordingley L, Verstappen SMM. Changes in the illness perceptions of patients with rheumatoid arthritis over the first year of methotrexate therapy. Rheumatology (Oxford) 2021; 60:2355-2365. [PMID: 33188696 PMCID: PMC8121436 DOI: 10.1093/rheumatology/keaa615] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2020] [Revised: 08/23/2020] [Indexed: 12/14/2022] Open
Abstract
Objectives To describe the illness perceptions of patients with RA over the first year of MTX treatment, and the association between illness perceptions and outcomes. Methods Data came from the Rheumatoid Arthritis Medication Study (RAMS), a UK multicentre cohort study of RA patients starting MTX for the first time. Patients were assessed at baseline, and at 6 and 12 months. Patients completed the Brief Illness Perception Questionnaire (B-IPQ) at each assessment, as well as other patient-reported outcomes (PROs). The inflammation score (2-component DAS28) was calculated. Subgroups of patients with similar trajectories across the eight (B-IPQ) items were identified using a latent class growth model. Predictors of group membership were identified using multinomial logistic regression. Associations between subgroups and PROs over follow-up were assessed using linear mixed models. Results Three subgroups were identified in the analysis population (N = 1087): Positive illness perceptions (N = 322), Negative illness perceptions (N = 534) and Improvers (N = 231) who switched from negative to positive illness perceptions over follow-up. Baseline disability was associated with group membership [Positive vs Negative: relative risk ratio (RRR) 0.37, 95% CI: 0.25, 0.54; Improvers vs Negative: RRR 0.60, 95% CI: 0.43, 0.83], as were other PROs (pain, fatigue, anxiety, depression). The Negative group had worse disability, pain and fatigue over follow-up compared with the other groups, controlling for inflammation. Conclusion Negative illness perceptions are associated with poor PROs over time. The Improvers subgroup illustrated that illness perceptions can change in RA. Illness perceptions represent a potential therapeutic target that should be assessed using randomized trials.
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Affiliation(s)
- James M Gwinnutt
- Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester
| | - Sam Norton
- Health Psychology section, Institute of Psychiatry, Psychology and Neuroscience.,Department of Inflammation Biology, Faculty of Life Sciences and Medicine, King's College London, London
| | - Kimme L Hyrich
- Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester.,NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre and the
| | - Mark Lunt
- Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester
| | - Anne Barton
- NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre and the.,Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Lis Cordingley
- Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester.,NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre and the
| | - Suzanne M M Verstappen
- Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester.,NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre and the
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18
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Gwinnutt JM, Hyrich KL, Lunt M, Barton A, Verstappen SMM. Long-term outcomes of patients who rate symptoms of rheumatoid arthritis as 'satisfactory'. Rheumatology (Oxford) 2021; 59:1853-1861. [PMID: 31729526 PMCID: PMC7382599 DOI: 10.1093/rheumatology/kez497] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Revised: 08/26/2019] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES To describe outcomes of patients with early RA in a patient acceptable symptom state (PASS) at treatment initiation and to identify clusters of symptoms associated with poor outcomes. METHODS Data came from the Rheumatoid Arthritis Medication Study, a UK multicentre cohort study of RA patients starting MTX. The HAQ, DAS28 and other patient-reported outcome measures (PROMs) were collected at baseline, and at 6 and 12 months. Patients answering yes to the question 'Is your current condition satisfactory, when you take your general functioning and your current pain into consideration?' were defined as PASS; patients answering no were defined as N-PASS. Symptom clusters in the baseline PASS group were identified using K-medians cluster analysis. Outcomes of baseline PASS vs N-PASS patients and each cluster are compared using random effects models. RESULTS Of 1127 patients, 572 (50.8%) reported being in PASS at baseline. Over one year, baseline PASS patients had lower DAS28 (mean difference = -0.71, 95% CI -0.83, -0.59) and HAQ scores (mean difference = -0.48, 95% CI -0.56, -0.41) compared with N-PASS patients. Within the baseline PASS group, we identified six symptom clusters. Clusters characterized by high disease activity and high PROMs, or moderate disease activity and high PROMs, had the worst outcomes compared with the other clusters. CONCLUSION Despite reporting their condition as 'satisfactory', early RA patients with high PROM scores are less likely to respond to therapy. This group may require increased vigilance to optimize outcomes.
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Affiliation(s)
- James M Gwinnutt
- Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre
| | - Kimme L Hyrich
- Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre.,NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre
| | - Mark Lunt
- Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre
| | | | - Anne Barton
- NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre.,Centre for Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
| | - Suzanne M M Verstappen
- Centre for Epidemiology Versus Arthritis, Centre for Musculoskeletal Research, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre.,NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre
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19
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Nouri B, Nair N, Barton A. Predicting treatment response to IL6R blockers in rheumatoid arthritis. Rheumatology (Oxford) 2020; 59:3603-3610. [PMID: 32864695 PMCID: PMC7733712 DOI: 10.1093/rheumatology/keaa529] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 06/23/2020] [Accepted: 07/13/2020] [Indexed: 12/30/2022] Open
Abstract
Patients with severe, active RA who have not responded to conventional therapy may receive biological disease modifying anti-rheumatic drugs (bDMARDs). However, 40% of cases do not achieve complete disease control, resulting in a negative impact on patient quality of life and representing a waste of healthcare resources. Ongoing research seeks to establish biomarkers, which can be used to predict treatment response to biologics in RA to enable more targeted approaches to treatment. However, much of the work has focused on one class of biologic drug, the TNF inhibitors (TNFi). Here, we will review the current state of research to identify biomarkers predictive of response to the class of bDMARDs targeting the IL6R. While success has been limited thus far, serum drug and low ICAM1 levels have shown promise, with associations reported in independent studies. The challenges faced by researchers and lessons learned from studies of TNFi will be discussed.
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Affiliation(s)
- Bako Nouri
- Centre of Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester
| | - Nisha Nair
- Centre of Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester
| | - Anne Barton
- Centre of Genetics and Genomics Versus Arthritis, Centre for Musculoskeletal Research, University of Manchester
- NIHR Manchester Musculoskeletal BRU, Central Manchester Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK
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20
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Evaluation of the impact of age and adiposity on a multi-biomarker disease activity score before and after adjustment. Clin Rheumatol 2020; 40:2419-2426. [PMID: 33237483 DOI: 10.1007/s10067-020-05508-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 10/30/2020] [Accepted: 11/10/2020] [Indexed: 10/22/2022]
Abstract
PURPOSE We assessed the impact of adjustment of the multi-biomarker disease activity score (MBDA) for age, sex, and leptin, over the range of age and adiposity, and assessed relationships with clinical disease activity. METHODS Patients with RA, ages 18-75 years, were recruited from clinical practices and completed whole-body DXA to quantify fat mass indices (FMI, kg/m2). FMI Z-scores were calculated based on distributions in a reference population. Descriptive statistics described relationships between age, FMI Z-score, and the original MBDA and adjusted MBDA (aMBDA). Swollen joint counts (SJC) and the clinical disease activity index (CDAI) were assessed over MBDA categories. RESULTS There were 104 participants (50% female) with mean (SD) age of 56.1 (12.5) and body mass index (BMI) of 28.8 (6.9). Older age was associated with higher MBDA scores in men. The aMBDA was not associated with age. The original MBDA score was associated with FMI Z-score among women (Rho = 0.42, p = 0.002) but not men. The aMBDA was not associated with FMI Z-score in either women or men. The aMBDA score was lower than the original MBDA in the highest quartile of FMI in women and was higher in the lowest FMI quartiles in women and men. CDAI, SJC, and radiographic scores were similar across activity categories for the original MBDA score and aMBDA. CONCLUSIONS The aMBDA demonstrated reduced associations with adiposity, particularly among women. The aMBDA may be less likely to overestimate disease activity in women with greater adiposity and to underestimate disease activity in men and women with lesser adiposity. Key Points • Leptin adjustment of the MBDA score reduces the influence of adiposity, particularly among women. • Leptin adjustment results in significantly higher estimated disease activity in thin men and women. • The adjusted and unadjusted score correlate similarly with clinical disease activity measures.
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21
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Gilani SS, Nair N, Plant D, Hyrich K, Morgan AW, Morris AP, Wilson AG, Isaacs JD, Barton A, Bluett J. Pharmacogenetics of TNF inhibitor response in rheumatoid arthritis utilizing the two-component disease activity score. Pharmacogenomics 2020; 21:1151-1156. [PMID: 33124499 PMCID: PMC7649675 DOI: 10.2217/pgs-2020-0043] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Aim: TNF inhibitor drugs are a treatment option for rheumatoid arthritis, but response is not universal. Response is typically measured using the composite 4-component (4C) disease activity score 28 (DAS28) which contains more subjective measures. This study used a validated 2-component (2C) DAS28 score to determine whether SNPs associated with response were replicated in the UK population. Materials & methods: A literature review identified TNF inhibitor response SNPs. Linear regression was conducted to replicate associations with 4C or 2C-DAS28 response. Results: Eighteen independent SNPs were analyzed in 1828 patients. One and four associations with 4C and 2C-DAS28 response respectively were identified (p ≤ 0.05). Conclusion: Further genetic associations were replicated using the 2C-DAS28 which may reflect the objective nature of 2C-AS28.
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Affiliation(s)
- Syed Sa Gilani
- School of Medicine, University of Manchester, Manchester, M13 9PT, UK
| | - Nisha Nair
- NIHR Manchester Biomedical Research Center, Central Manchester NHS Foundation Trust, Manchester Academic Health Science Center, Manchester, M13 9WL, UK.,Versus Arthritis Centre for Genetics & Genomics, Centre for Musculoskeletal Research, The University of Manchester, Manchester, M13 9PL, UK
| | - Darren Plant
- NIHR Manchester Biomedical Research Center, Central Manchester NHS Foundation Trust, Manchester Academic Health Science Center, Manchester, M13 9WL, UK.,Versus Arthritis Centre for Genetics & Genomics, Centre for Musculoskeletal Research, The University of Manchester, Manchester, M13 9PL, UK
| | - Kimme Hyrich
- NIHR Manchester Biomedical Research Center, Central Manchester NHS Foundation Trust, Manchester Academic Health Science Center, Manchester, M13 9WL, UK.,Versus Arthritis Center for Epidemiology, Center for Musculoskeletal Research, The University of Manchester, Manchester, M13 9PL, UK
| | - Ann W Morgan
- School of Medicine, University of Leeds & NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, LS2 9JT, UK
| | - Andrew P Morris
- Versus Arthritis Centre for Genetics & Genomics, Centre for Musculoskeletal Research, The University of Manchester, Manchester, M13 9PL, UK
| | - Anthony G Wilson
- School of Medicine & Medical Science, Conway Institute, University College Dublin, Dublin, Dublin 4, Ireland
| | - John D Isaacs
- Institute of Translational & Clinical Research, Newcastle University & Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, NE1 7RU, UK
| | - Anne Barton
- NIHR Manchester Biomedical Research Center, Central Manchester NHS Foundation Trust, Manchester Academic Health Science Center, Manchester, M13 9WL, UK.,Versus Arthritis Centre for Genetics & Genomics, Centre for Musculoskeletal Research, The University of Manchester, Manchester, M13 9PL, UK
| | - James Bluett
- NIHR Manchester Biomedical Research Center, Central Manchester NHS Foundation Trust, Manchester Academic Health Science Center, Manchester, M13 9WL, UK.,Versus Arthritis Centre for Genetics & Genomics, Centre for Musculoskeletal Research, The University of Manchester, Manchester, M13 9PL, UK
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22
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Dessie G, Tadesse Y, Demelash B, Genet S. Assessment of Serum Lipid Profiles and High-sensitivity C-reactive Protein Among Patients Suffering from Rheumatoid Arthritis at Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia: A Cross-Sectional Study. Open Access Rheumatol 2020; 12:223-232. [PMID: 33061690 PMCID: PMC7520147 DOI: 10.2147/oarrr.s264466] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Accepted: 08/07/2020] [Indexed: 12/29/2022] Open
Abstract
Background Rheumatoid arthritis (RA) is a chronic inflammatory disease characterized by severe joint pain, swelling, damage, and disability which leads to joint destruction and loss of function. The complication of RA is associated with cardiovascular diseases, particularly due to systemic inflammation and dyslipidemia. The purpose of this study was to assess the development of atherosclerosis, which acts as a major risk factor for cardiovascular complications in RA patients. Methods A hospital-based cross-sectional study was conducted at the Rheumatology Clinic of Tikur Anbessa Specialized Hospital. The study made a comparison of risk factors (dyslipidemia and inflammatory status) between individuals having RA as a case group and apparently healthy individuals as a control group. Simple descriptive statistics, one-way ANOVA, independent sample t-test and multivariate analysis were utilized for statistical analysis. p-value of <0.05 at the 95% confidence level was considered as statistically significant. Results The result of this study demonstrated that there was a significant elevation of mean ±SD of TC, TC/HDL, LDL/HDL, and lowered value of HDL-C was seen among RA patients than controls (P-value <0.05). The mean ±SD of inflammatory marker, high-sensitivity C-reactive protein (hsCRP), was significantly higher among RA patients compared to controls (P<0.05). HDL-C had a significant negative correlation with a hsCRP whereas TC/HDL-C and LDL/HDL-C had a significant positive correlation with hsCRP (P<0.05). Conclusion In this study, RA patients had lipid abnormalities and elevated systemic inflammation than controls. An increase in hsCRP and dyslipidemia status among RA patients indicates the possible development of an atherosclerotic event. Therefore, assessment of lipid profiles and hsCRP in early RA patients may be helpful to assess the possible development of cardiovascular complications.
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Affiliation(s)
- Gashaw Dessie
- Department of Biochemistry, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia
| | - Yewondwossen Tadesse
- Department of Internal Medicine, School of Medicine, Addis Ababa University, Addis Ababa, Ethiopia
| | - Birhanu Demelash
- Department of Internal Medicine, School of Medicine, Addis Ababa University, Addis Ababa, Ethiopia
| | - Solomon Genet
- Department of Biochemistry, School of Medicine, College of Health Sciences, Addis Ababa University, Addis Ababa, Ethiopia
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23
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Ling SF, Bluett J. Pharmacogenetics of methotrexate response in rheumatoid arthritis: an update. Pharmacogenomics 2020; 21:3-6. [PMID: 31849277 DOI: 10.2217/pgs-2019-0154] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Affiliation(s)
- Stephanie F Ling
- Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, Oxford Road, Manchester, M13 9PT, UK.,The Nowgen Centre, 29 Grafton Street, Mancheser, M13 9WL, UK
| | - James Bluett
- Centre for Musculoskeletal Research, Division of Musculoskeletal and Dermatological Sciences, Oxford Road, Manchester, M13 9PT, UK.,The Nowgen Centre, 29 Grafton Street, Mancheser, M13 9WL, UK
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24
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Dagliati A, Plant D, Nair N, Jani M, Amico B, Peek N, Morgan AW, Isaacs J, Wilson AG, Hyrich KL, Geifman N, Barton A. Latent Class Trajectory Modeling of 2-Component Disease Activity Score in 28 Joints Identifies Multiple Rheumatoid Arthritis Phenotypes of Response to Biologic Disease-Modifying Antirheumatic Drugs. Arthritis Rheumatol 2020; 72:1632-1642. [PMID: 32475078 DOI: 10.1002/art.41379] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2020] [Accepted: 05/21/2020] [Indexed: 01/15/2023]
Abstract
OBJECTIVE To determine whether using a reweighted disease activity score that better reflects joint synovitis, i.e., the 2-component Disease Activity Score in 28 joints (DAS28) (based on swollen joint count and C-reactive protein level), produces more clinically relevant treatment outcome trajectories compared to the standard 4-component DAS28. METHODS Latent class mixed modeling of response to biologic treatment was applied to 2,991 rheumatoid arthritis (RA) patients in whom treatment with a biologic disease-modifying antirheumatic drug was being initiated within the Biologics in Rheumatoid Arthritis Genetics and Genomics Study Syndicate cohort, using both 4-component and 2-component DAS28 scores as outcome measures. Patient groups with similar trajectories were compared in terms of pretreatment baseline characteristics (including disability and comorbidities) and follow-up characteristics (including antidrug antibody events, adherence to treatments, and blood drug levels). We compared the trajectories obtained using the 4- and 2-component scores to determine which characteristics were better captured by each. RESULTS Using the 4-component DAS28, we identified 3 trajectory groups, which is consistent with previous findings. We showed that the 4-component DAS28 captures information relating to depression. Using the 2-component DAS28, 7 trajectory groups were identified; among them, distinct groups of nonresponders had a higher incidence of respiratory comorbidities and a higher proportion of antidrug antibody events. We also identified a group of patients for whom the 2-component DAS28 scores remained relatively low; this group included a high percentage of patients who were nonadherent to treatment. This highlights the utility of both the 4- and 2-component DAS28 for monitoring different components of disease activity. CONCLUSION Here we show that the 2-component modified DAS28 defines important biologic and clinical phenotypes associated with treatment outcome in RA and characterizes important underlying response mechanisms to biologic drugs.
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Affiliation(s)
- Arianna Dagliati
- Centre for Health Informatics and Manchester Molecular Pathology Innovation Centre, University of Manchester, Manchester, UK
| | - Darren Plant
- Versus Arthritis Centre for Genetics and Genomics, University of Manchester, NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, and Manchester Academic Health Science Centre, Manchester, UK
| | - Nisha Nair
- Versus Arthritis Centre for Genetics and Genomics, University of Manchester, Manchester, UK
| | - Meghna Jani
- Versus Arthritis Centre for Epidemiology, University of Manchester, Manchester, UK
| | | | - Niels Peek
- Centre for Health Informatics, University of Manchester, NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, and Manchester Academic Health Science Centre, Manchester, UK
| | - Ann W Morgan
- University of Leeds School of Medicine, NIHR Leeds Biomedical Research Centre, and Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - John Isaacs
- Translational and Clinical Research Institute, Newcastle University, and Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Anthony G Wilson
- Centre for Arthritis Research, Conway Institute, University College Dublin, Dublin, Ireland
| | - Kimme L Hyrich
- NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, and Versus Arthritis Centre for Epidemiology, University of Manchester, Manchester, UK
| | - Nophar Geifman
- Centre for Health Informatics and Manchester Molecular Pathology Innovation Centre, University of Manchester, Manchester, UK
| | - Anne Barton
- Versus Arthritis Centre for Genetics and Genomics, University of Manchester, NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, and Manchester Academic Health Science Centre, Manchester, UK
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25
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Transforming clinical trials in rheumatology: towards patient-centric precision medicine. Nat Rev Rheumatol 2020; 16:590-599. [PMID: 32887976 DOI: 10.1038/s41584-020-0491-4] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/04/2020] [Indexed: 01/20/2023]
Abstract
Despite the success of targeted therapies in the treatment of inflammatory arthritides, the lack of predictive biomarkers drives a 'trial and error' approach to treatment allocation, leading to variable and/or unsatisfactory responses. In-depth characterization of the synovial tissue in rheumatoid arthritis, as well as psoriatic arthritis and spondyloarthritis, is bringing new insights into the diverse cellular and molecular features of these diseases and their potential links with different clinical and treatment-response phenotypes. Such progress raises the tantalizing prospect of improving response rates by matching the use of specific agents to the cognate target pathways that might drive particular disease subtypes in specific patient groups. Innovative patient-centric, molecular pathology-driven clinical trial approaches are needed to achieve this goal. Whilst progress is clearly being made, it is important to emphasize that this field is still in its infancy and there are a number of potential barriers to realizing the premise of patient-centric clinical trials.
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26
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Tan JSQ, Fong W, Kwan YH, Leung YY. Prevalence and variables associated with fatigue in psoriatic arthritis: a cross-sectional study. Rheumatol Int 2020; 40:1825-1834. [PMID: 32776160 DOI: 10.1007/s00296-020-04678-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2020] [Accepted: 08/03/2020] [Indexed: 01/20/2023]
Abstract
OBJECTIVE To describe the prevalence of and evaluate the factors associated with fatigue patients with psoriatic arthritis (PsA) in an Asian population. METHODS We used baseline data from a registry of patients with PsA attending an outpatient clinic of a tertiary hospital in Singapore. Demographic data and disease characteristics were evaluated. Fatigue was assessed by question one of the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI-F) and the vitality domain of the Medical Outcome Survey, Short-Form 36 (SF-36 VT). We evaluated clusters of variables, and individual variables in association with fatigue. RESULTS We included 131 patients (50.4% men, 63.4% Chinese, median PsA duration 21.0 months) with completed data for fatigue. Forty-five patients (34%) experienced severe fatigue (defined by BASDAI-F > 5/10). We used principal component analysis and identified five clusters of variables that explained 62.9% of the variance of all factors. Of these, disease activity and impact, and disease chronicity were significantly associated with BASDAI-F and SF-36 VT. In multivariable analyses, back pain, peripheral joint pain and patient global assessment were associated with BASDAI-F, whereas peripheral joint pain and mental health were associated with SF-36 VT. CONCLUSION PsA-associated fatigue is prevalent in this Asian PsA cohort and is associated with disease activity, impact and chronicity.
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Affiliation(s)
- Joel Shi Quan Tan
- Department of Rheumatology and Immunology, Singapore General Hospital, The Academia, Level 4, 20 College Road, Singapore, 169856, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Warren Fong
- Department of Rheumatology and Immunology, Singapore General Hospital, The Academia, Level 4, 20 College Road, Singapore, 169856, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | | | - Ying Ying Leung
- Department of Rheumatology and Immunology, Singapore General Hospital, The Academia, Level 4, 20 College Road, Singapore, 169856, Singapore.
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
- Duke-NUS Medical School, Singapore, Singapore.
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27
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Rivellese F, Humby F, Bugatti S, Fossati‐Jimack L, Rizvi H, Lucchesi D, Lliso‐Ribera G, Nerviani A, Hands RE, Giorli G, Frias B, Thorborn G, Jaworska E, John C, Goldmann K, Lewis MJ, Manzo A, Bombardieri M, Pitzalis C. B Cell Synovitis and Clinical Phenotypes in Rheumatoid Arthritis: Relationship to Disease Stages and Drug Exposure. Arthritis Rheumatol 2020; 72:714-725. [PMID: 31785084 PMCID: PMC7217046 DOI: 10.1002/art.41184] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Accepted: 11/26/2019] [Indexed: 12/11/2022]
Abstract
OBJECTIVE To define the relationship of synovial B cells to clinical phenotypes at different stages of disease evolution and drug exposure in rheumatoid arthritis (RA). METHODS Synovial biopsy specimens and demographic and clinical data were collected from 2 RA cohorts (n = 329), one of patients with untreated early RA (n = 165) and one of patients with established RA with an inadequate response to tumor necrosis factor inhibitors (TNFi-IR; n = 164). Synovial tissue was subjected to hematoxylin and eosin and immunohistochemical staining and semiquantitative assessment for the degree of synovitis (on a scale of 0-9) and of CD20+ B cell infiltrate (on a scale of 0-4). B cell scores were validated by digital image analysis and B cell lineage-specific transcript analysis (RNA-Seq) in the early RA (n = 91) and TNFi-IR (n = 127) cohorts. Semiquantitative CD20 scores were used to classify patients as B cell rich (≥2) or B cell poor (<2). RESULTS Semiquantitative B cell scores correlated with digital image analysis quantitative measurements and B cell lineage-specific transcripts. B cell-rich synovitis was present in 35% of patients in the early RA cohort and 47.7% of patients in the TNFi-IR cohort (P = 0.025). B cell-rich patients showed higher levels of disease activity and seropositivity for rheumatoid factor and anti-citrullinated protein antibody in early RA but not in established RA, while significantly higher histologic synovitis scores in B cell-rich patients were demonstrated in both cohorts. CONCLUSION We describe a robust semiquantitative histologic B cell score that closely replicates the quantification of B cells by digital or molecular analyses. Our findings indicate an ongoing B cell-rich synovitis, which does not seem to be captured by standard clinimetric assessment, in a larger proportion of patients with established RA than early RA.
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Affiliation(s)
- F. Rivellese
- Barts and The London School of Medicine and DentistryQueen Mary University of LondonLondonUK
| | - F. Humby
- Barts and The London School of Medicine and DentistryQueen Mary University of LondonLondonUK
| | - S. Bugatti
- IRCCSPoliclinico San Matteo Foundation and University of PaviaPaviaItaly
| | - L. Fossati‐Jimack
- Barts and The London School of Medicine and DentistryQueen Mary University of LondonLondonUK
| | | | - D. Lucchesi
- Barts and The London School of Medicine and DentistryQueen Mary University of LondonLondonUK
| | - G. Lliso‐Ribera
- Barts and The London School of Medicine and DentistryQueen Mary University of LondonLondonUK
| | - A. Nerviani
- Barts and The London School of Medicine and DentistryQueen Mary University of LondonLondonUK
| | - R. E. Hands
- Barts and The London School of Medicine and DentistryQueen Mary University of LondonLondonUK
| | - G. Giorli
- Barts and The London School of Medicine and DentistryQueen Mary University of LondonLondonUK
| | - B. Frias
- Barts and The London School of Medicine and DentistryQueen Mary University of LondonLondonUK
| | - G. Thorborn
- Barts and The London School of Medicine and DentistryQueen Mary University of LondonLondonUK
| | - E. Jaworska
- Barts and The London School of Medicine and DentistryQueen Mary University of LondonLondonUK
| | - C. John
- Barts and The London School of Medicine and DentistryQueen Mary University of LondonLondonUK
| | - K. Goldmann
- Barts and The London School of Medicine and DentistryQueen Mary University of LondonLondonUK
| | - M. J. Lewis
- Barts and The London School of Medicine and DentistryQueen Mary University of LondonLondonUK
| | - A. Manzo
- IRCCSPoliclinico San Matteo Foundation and University of PaviaPaviaItaly
| | - M. Bombardieri
- Barts and The London School of Medicine and DentistryQueen Mary University of LondonLondonUK
| | - C. Pitzalis
- Barts and The London School of Medicine and DentistryQueen Mary University of LondonLondonUK
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28
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Sutcliffe M, Radley G, Barton A. Personalized medicine in rheumatic diseases: how close are we to being able to use genetic biomarkers to predict response to TNF inhibitors? Expert Rev Clin Immunol 2020; 16:389-396. [DOI: 10.1080/1744666x.2020.1740594] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Megan Sutcliffe
- Versus Arthritis Centre for Genetics and Genomics, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK
| | - Gemma Radley
- Versus Arthritis Centre for Genetics and Genomics, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK
| | - Anne Barton
- Versus Arthritis Centre for Genetics and Genomics, Centre for Musculoskeletal Research, The University of Manchester, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Sciences Centre, Manchester, UK
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29
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Emery P, Horton S, Dumitru RB, Naraghi K, van der Heijde D, Wakefield RJ, Hensor EMA, Buch MH. Pragmatic randomised controlled trial of very early etanercept and MTX versus MTX with delayed etanercept in RA: the VEDERA trial. Ann Rheum Dis 2020; 79:464-471. [PMID: 31996367 PMCID: PMC7147179 DOI: 10.1136/annrheumdis-2019-216539] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2019] [Revised: 01/09/2020] [Accepted: 01/09/2020] [Indexed: 12/11/2022]
Abstract
Objectives We sought to confirm in very early rheumatoid arthritis (ERA) a much greater superiority (30%) of first-line etanercept+methotrexate (ETN+MTX) over treat-to-target MTX (MTX-TT) than previously reported in ERA (14%); and explore whether ETN following initial MTX secures a comparable response to first-line ETN+MTX. Methods Pragmatic, open-label, randomised controlled trial of treatment-naïve ERA (≤12 months symptom), Disease Activity Score 28 joint (DAS28)-erythrocyte sedimentation rate (ESR) ≥3.2, rheumatoid factor (RF)+/−anticitrullinated peptide antibody (ACPA) positive or ultrasound power Doppler (PD) if RF and ACPA negative. Subjects were randomised 1:1 to ETN+MTX; or MTX-TT, escalated to ETN if week 24 DAS28-ESR ≥2.6 and intramuscular corticosteroid at protocolised time points. Primary endpoint of week 48 DAS28ESR remission with clinical and imaging secondary endpoints. Results We randomised 120 patients, 60 to each arm (71% female, 73% RF/84% ACPA positive, median (IQR) symptom duration 20.3 (13.1, 30.8) weeks; mean (SD) DAS28 5.1 (1.1)). Remission rates with ETN+MTX and MTX-TT, respectively, were 38% vs 33% at week 24; 52% vs 38% at week 48 (ORs 1.6, 95% CI 0.8 to 3.5, p=0.211). Greater, sustained DAS28-ESR remission observed with ETN+MTX versus MTX-TT (42% and 27%, respectively; p=0.035). PD was fully suppressed by week 48 in over 90% in each arm. Planned exploratory analysis revealed OR 2.84, 95% CI 0.8 to 9.6) of achieving remission after 24 weeks of ETN administered first line compared with administered post-MTX. Conclusions Compared with remission rates typically reported with first-line tumour necrosis factor inhabitor+MTX versus MTX-TT, we did not demonstrate a larger effect in very ERA. Neither strategy conferred remission in the majority of patients although ultrasound confirmed local inflammation suppression. Poorer ETN response following failure of MTX-TT is also suggested. Trial registration number NCT02433184
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Affiliation(s)
- Paul Emery
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.,NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Sarah Horton
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.,Central Lancashire Moving Well Service, Lancashire and South Cumbria NHS Foundation Trust, Preston, UK
| | - Raluca Bianca Dumitru
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK
| | - Kamran Naraghi
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK
| | | | - Richard J Wakefield
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.,NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Elizabeth M A Hensor
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.,NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Maya H Buch
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK .,Centre for Musculoskeletal Research, School of Biological Sciences, Faculty of Biology, Medicine & Health, University of Manchester, Manchester, UK.,NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester University Foundation Trust, Manchester, UK
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30
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Affiliation(s)
- Nisha Nair
- Centre of Genetics & Genomics Versus Arthritis, Manchester Academic Health Sciences Centre, The University of Manchester, Manchester, UK.
| | - Anthony G Wilson
- University College Dublin Centre for Arthritis Research, Conway Institute, University College Dublin, Dublin, Ireland.
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Hensor EMA, Conaghan PG. Time to modify the DAS28 to make it fit for purpose(s) in rheumatoid arthritis? Expert Rev Clin Immunol 2019; 16:1-4. [DOI: 10.1080/1744666x.2019.1697679] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
Affiliation(s)
- Elizabeth M. A. Hensor
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds and NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Philip G. Conaghan
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds and NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK
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Spiliopoulou A, Colombo M, Plant D, Nair N, Cui J, Coenen MJ, Ikari K, Yamanaka H, Saevarsdottir S, Padyukov L, Bridges SL, Kimberly RP, Okada Y, van Riel PLC, Wolbink G, van der Horst-Bruinsma IE, de Vries N, Tak PP, Ohmura K, Canhão H, Guchelaar HJ, Huizinga TW, Criswell LA, Raychaudhuri S, Weinblatt ME, Wilson AG, Mariette X, Isaacs JD, Morgan AW, Pitzalis C, Barton A, McKeigue P. Association of response to TNF inhibitors in rheumatoid arthritis with quantitative trait loci for CD40 and CD39. Ann Rheum Dis 2019; 78:1055-1061. [PMID: 31036624 PMCID: PMC6669378 DOI: 10.1136/annrheumdis-2018-214877] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2018] [Revised: 04/11/2019] [Accepted: 04/11/2019] [Indexed: 12/29/2022]
Abstract
OBJECTIVES We sought to investigate whether genetic effects on response to TNF inhibitors (TNFi) in rheumatoid arthritis (RA) could be localised by considering known genetic susceptibility loci for relevant traits and to evaluate the usefulness of these genetic loci for stratifying drug response. METHODS We studied the relation of TNFi response, quantified by change in swollen joint counts ( Δ SJC) and erythrocyte sedimentation rate ( Δ ESR) with locus-specific scores constructed from genome-wide assocation study summary statistics in 2938 genotyped individuals: 37 scores for RA; scores for 19 immune cell traits; scores for expression or methylation of 93 genes with previously reported associations between transcript level and drug response. Multivariate associations were evaluated in penalised regression models by cross-validation. RESULTS We detected a statistically significant association between Δ SJC and the RA score at the CD40 locus (p=0.0004) and an inverse association between Δ SJC and the score for expression of CD39 on CD4 T cells (p=0.00005). A previously reported association between CD39 expression on regulatory T cells and response to methotrexate was in the opposite direction. In stratified analysis by concomitant methotrexate treatment, the inverse association was stronger in the combination therapy group and dissipated in the TNFi monotherapy group. Overall, ability to predict TNFi response from genotypic scores was limited, with models explaining less than 1% of phenotypic variance. CONCLUSIONS The association with the CD39 trait is difficult to interpret because patients with RA are often prescribed TNFi after failing to respond to methotrexate. The CD39 and CD40 pathways could be relevant for targeting drug therapy.
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Affiliation(s)
- Athina Spiliopoulou
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
- MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK
| | - Marco Colombo
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
| | - Darren Plant
- Arthritis Research UK Centre for Genetics and Genomics, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Nisha Nair
- Arthritis Research UK Centre for Genetics and Genomics, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
| | - Jing Cui
- Division of Rheumatology, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Marieke Jh Coenen
- Department of Human Genetics, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Katsunori Ikari
- Department of Orthopedic Surgery, Tokyo Women's Medical University, Tokyo, Japan
- The Centers of Research Excellence in Science and Technology, Japan Science and Technology Agency, Tokyo, Japan
| | - Hisashi Yamanaka
- Department of Rheumatology, School of Medicine, Tokyo Women's Medical University, Tokyo, Japan
| | - Saedis Saevarsdottir
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Leonid Padyukov
- Division of Rheumatology, Department of Medicine Solna, Karolinska Institutet and Karolinska University Hospital, Stockholm, Sweden
| | - S Louis Bridges
- Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Robert P Kimberly
- Division of Clinical Immunology and Rheumatology, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Yukinori Okada
- Department of Statistical Genetics, Osaka University Graduate School of Medicine, Osaka, Japan
- Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
| | - Piet L Cm van Riel
- Department of Human Genetics, Radboud Institute for Health Sciences, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Gertjan Wolbink
- Amsterdam Rheumatology and Immunology Centre, Reade, Amsterdam, The Netherlands
| | - Irene E van der Horst-Bruinsma
- Department of Rheumatology, VU University Medical Centre, Amsterdam University Medical Centres, Amsterdam, The Netherlands
| | - Niek de Vries
- Department of Clinical Immunology and Rheumatology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Paul P Tak
- Department of Clinical Immunology and Rheumatology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, The Netherlands
| | - Koichiro Ohmura
- Department of Rheumatology and Clinical Immunology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Helena Canhão
- CEDOC, EpiDoC Unit, NOVA Medical School, Universidade NOVA de Lisboa, Lisbon, Portugal
| | - Henk-Jan Guchelaar
- Department of Clinical Pharmacy and Toxicology, Leiden University Medical Center, Leiden, The Netherlands
| | - Tom Wj Huizinga
- Department of Rheumatology, Leiden University Medical Center, Leiden, The Netherlands
| | - Lindsey A Criswell
- Rosalind Russell / Ephraim P Engleman Rheumatology Research Center, University of California San Francisco, San Francisco, California, USA
| | - Soumya Raychaudhuri
- Division of Rheumatology, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Center for Data Sciences, Harvard Medical School, Boston, Massachusetts, USA
| | - Michael E Weinblatt
- Division of Rheumatology, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Anthony G Wilson
- EULAR Centre of Excellence/UCD Centre for Arthritis Research, Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, Ireland
| | - Xavier Mariette
- y Université Paris-Sud, INSERM UMR1184, Hôpitaux Universitaire Paris-Sud, AP-HP, Le Kremlin Bicêtre, Paris, France
| | - John D Isaacs
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, UK
- Musculoskeletal Unit, Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
| | - Ann W Morgan
- School of Medicine, University of Leeds, Leeds, UK
- NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Costantino Pitzalis
- Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Queen Mary University of London, London, UK
| | - Anne Barton
- Arthritis Research UK Centre for Genetics and Genomics, Centre for Musculoskeletal Research, Manchester Academic Health Science Centre, University of Manchester, Manchester, UK
- NIHR Manchester Biomedical Research Centre, Manchester Academic Health Science Centre, Manchester University NHS Foundation Trust, Manchester, UK
| | - Paul McKeigue
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, UK
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Buch MH, Melville A, McGonagle DG. 'Synovial cellular and molecular signatures stratify clinical response to csDMARD therapy and predict radiographic progression in early rheumatoid arthritis patients'. Ann Rheum Dis 2019; 79:e140. [PMID: 31302597 DOI: 10.1136/annrheumdis-2019-215881] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2019] [Accepted: 06/17/2019] [Indexed: 11/03/2022]
Affiliation(s)
- Maya H Buch
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK .,NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Andrew Melville
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.,NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK
| | - Dennis G McGonagle
- Leeds Institute of Rheumatic and Musculoskeletal Medicine, University of Leeds, Leeds, UK.,NIHR Leeds Biomedical Research Centre, Leeds Teaching Hospitals NHS Trust, Leeds, UK
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