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      Anti-interleukin-1 treatment in patients with rheumatoid arthritis and type 2 diabetes (TRACK): A multicentre, open-label, randomised controlled trial

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          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          The inflammatory contribution to type 2 diabetes (T2D) has suggested new therapeutic targets using biologic drugs designed for rheumatoid arthritis (RA). On this basis, we aimed at investigating whether interleukin-1 (IL-1) inhibition with anakinra, a recombinant human IL-1 receptor antagonist, could improve both glycaemic and inflammatory parameters in participants with RA and T2D compared with tumour necrosis factor (TNF) inhibitors (TNFis).

          Methods and findings

          This study, designed as a multicentre, open-label, randomised controlled trial, enrolled participants, followed up for 6 months, with RA and T2D in 12 Italian rheumatologic units between 2013 and 2016. Participants were randomised to anakinra or to a TNFi (i.e., adalimumab, certolizumab pegol, etanercept, infliximab, or golimumab), and the primary end point was the change in percentage of glycated haemoglobin (HbA1c%) (EudraCT: 2012-005370-62 ClinicalTrial.gov: NCT02236481).

          In total, 41 participants with RA and T2D were randomised, and 39 eligible participants were treated (age 62.72 ± 9.97 years, 74.4% female sex). The majority of participants had seropositive RA disease (rheumatoid factor and/or anticyclic citrullinated peptide antibody [ACPA] 70.2%) with active disease (Disease Activity Score-28 [DAS28]: 5.54 ± 1.03; C-reactive protein 11.84 ± 9.67 mg/L, respectively). All participants had T2D (HbA1c%: 7.77 ± 0.70, fasting plasma glucose: 139.13 ± 42.17 mg). When all the enrolled participants reached 6 months of follow-up, the important crude difference in the main end point, confirmed by an unplanned ad interim analysis showing the significant effects of anakinra, which were not observed in the other group, led to the study being stopped for early benefit. Participants in the anakinra group had a significant reduction of HbA1c%, in an unadjusted linear mixed model, after 3 months (β: −0.85, p < 0.001, 95% CI −1.28 to −0.42) and 6 months (β: −1.05, p < 0.001, 95% CI −1.50 to −0.59). Similar results were observed adjusting the model for relevant RA and T2D clinical confounders (male sex, age, ACPA positivity, use of corticosteroids, RA duration, T2D duration, use of oral antidiabetic drug, body mass index [BMI]) after 3 months (β: −1.04, p < 0.001, 95% CI −1.52 to −0.55) and 6 months (β: −1.24, p < 0.001, 95% CI −1.75 to −0.72). Participants in the TNFi group had a nonsignificant slight decrease of HbA1c%. Assuming the success threshold to be HbA1c% ≤ 7, we considered an absolute risk reduction (ARR) = 0.42 (experimental event rate = 0.54, control event rate = 0.12); thus, we estimated, rounding up, a number needed to treat (NNT) = 3. Concerning RA, a progressive reduction of disease activity was observed in both groups. No severe adverse events, hypoglycaemic episodes, or deaths were observed. Urticarial lesions at the injection site led to discontinuation in 4 (18%) anakinra-treated participants. Additionally, we observed nonsevere infections, including influenza, nasopharyngitis, upper respiratory tract infection, urinary tract infection, and diarrhoea in both groups. Our study has some limitations, including open-label design and previously unplanned ad interim analysis, small size, lack of some laboratory evaluations, and ongoing use of other drugs.

          Conclusions

          In this study, we observed an apparent benefit of IL-1 inhibition in participants with RA and T2D, reaching the therapeutic targets of both diseases. Our results suggest the concept that IL-1 inhibition may be considered a targeted treatment for RA and T2D.

          Trial registration

          The trial is registered with EU Clinical Trials Register, EudraCT Number: 2012-005370-62 and with ClinicalTrial.gov, number NCT02236481.

          Abstract

          Roberto Giacomelli and co-authors study treatment of comorbid rheumatoid arthritis and type 2 diabetes via interleukin-1 blockade.

          Author summary

          Why was this study done?
          • A growing body of evidence suggests the inflammatory contribution to type 2 diabetes (T2D) as observed in rheumatoid arthritis (RA).

          • Interleukin-1 (IL-1) would be a common pathogenic mediator in T2D and RA, suggesting a possible common therapeutic target.

          • We investigated whether IL-1 inhibition with anakinra, a human IL-1-receptor antagonist, could improve both glycaemic and inflammatory parameters in participants with RA and T2D compared with tumour necrosis factor (TNF) inhibitors (TNFis).

          What did the researchers do and find?
          • In a multicentre, open-label, randomised controlled trial, 39 participants with RA and T2D (age 62.72 ± 9.97 years, 74.4% female sex) were randomised to anakinra or to TNFi in order to evaluate the efficacy of these drugs in controlling the metabolic alterations of T2D.

          • Anakinra showed a significant improvement of metabolic alteration (reduction of percentage of glycated haemoglobin [HbA1c%]) after both 3 months and 6 months of therapy (crude difference of 0.93 HbA1c% between groups), whereas TNFi did not show any significant improvement on these features.

          • No severe adverse events, hypoglycaemic episodes, or deaths were observed.

          What do these findings mean?
          • Our results suggest the concept that IL-1 inhibition may be considered a targeted treatment for RA and T2D.

          • Managing the inflammatory disease and the metabolic comorbidity by an agent inhibiting IL-1 may lead to a consequent beneficial impact on participants’ compliance, their overall cardiovascular (CV) risk, and the burden of healthcare costs.

          • Our study has some limitations, mainly due to open-label design, and future studies are necessary to fully clarify this topic.

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          Most cited references35

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          Targeting inflammation in the treatment of type 2 diabetes: time to start.

          The role of inflammation in the pathogenesis of type 2 diabetes and associated complications is now well established. Several conditions that are driven by inflammatory processes are also associated with diabetes, including rheumatoid arthritis, gout, psoriasis and Crohn's disease, and various anti-inflammatory drugs have been approved or are in late stages of development for the treatment of these conditions. This review discusses the rationale for the use of some of these anti-inflammatory treatments in patients with diabetes and what we could expect from their use. Future immunomodulatory treatments may not target a specific disease, but could instead act on a dysfunctional pathway that causes several conditions associated with the metabolic syndrome.
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            • Record: found
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            Cardiovascular comorbidity in rheumatic diseases.

            Patients with rheumatoid arthritis (RA) and other inflammatory joint diseases (IJDs) have an increased risk of premature death compared with the general population, mainly because of the risk of cardiovascular disease, which is similar in patients with RA and in those with diabetes mellitus. Pathogenic mechanisms and clinical expression of cardiovascular comorbidities vary greatly between different rheumatic diseases, but atherosclerosis seems to be associated with all IJDs. Traditional risk factors such as age, gender, dyslipidaemia, hypertension, smoking, obesity and diabetes mellitus, together with inflammation, are the main contributors to the increased cardiovascular risk in patients with IJDs. Although cardiovascular risk assessment should be part of routine care in such patients, no disease-specific models are currently available for this purpose. The main pillars of cardiovascular risk reduction are pharmacological and nonpharmacological management of cardiovascular risk factors, as well as tight control of disease activity.
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              Interleukin-1 antagonism in type 1 diabetes of recent onset: two multicentre, randomised, double-blind, placebo-controlled trials.

              Innate immunity contributes to the pathogenesis of autoimmune diseases, such as type 1 diabetes, but until now no randomised, controlled trials of blockade of the key innate immune mediator interleukin-1 have been done. We aimed to assess whether canakinumab, a human monoclonal anti-interleukin-1 antibody, or anakinra, a human interleukin-1 receptor antagonist, improved β-cell function in recent-onset type 1 diabetes. We did two randomised, placebo-controlled trials in two groups of patients with recent-onset type 1 diabetes and mixed-meal-tolerance-test-stimulated C peptide of at least 0·2 nM. Patients in the canakinumab trial were aged 6-45 years and those in the anakinra trial were aged 18-35 years. Patients in the canakinumab trial were enrolled at 12 sites in the USA and Canada and those in the anakinra trial were enrolled at 14 sites across Europe. Participants were randomly assigned by computer-generated blocked randomisation to subcutaneous injection of either 2 mg/kg (maximum 300 mg) canakinumab or placebo monthly for 12 months or 100 mg anakinra or placebo daily for 9 months. Participants and carers were masked to treatment assignment. The primary endpoint was baseline-adjusted 2-h area under curve C-peptide response to the mixed meal tolerance test at 12 months (canakinumab trial) and 9 months (anakinra trial). Analyses were by intention to treat. These studies are registered with ClinicalTrials.gov, numbers NCT00947427 and NCT00711503, and EudraCT number 2007-007146-34. Patients were enrolled in the canakinumab trial between Nov 12, 2010, and April 11, 2011, and in the anakinra trial between Jan 26, 2009, and May 25, 2011. 69 patients were randomly assigned to canakinumab (n=47) or placebo (n=22) monthly for 12 months and 69 were randomly assigned to anakinra (n=35) or placebo (n=34) daily for 9 months. No interim analyses were done. 45 canakinumab-treated and 21 placebo-treated patients in the canakinumab trial and 25 anakinra-treated and 26 placebo-treated patients in the anakinra trial were included in the primary analyses. The difference in C peptide area under curve between the canakinumab and placebo groups at 12 months was 0·01 nmol/L (95% CI -0·11 to 0·14; p=0·86), and between the anakinra and the placebo groups at 9 months was 0·02 nmol/L (-0·09 to 0·15; p=0·71). The number and severity of adverse events did not differ between groups in the canakinumab trial. In the anakinra trial, patients in the anakinra group had significantly higher grades of adverse events than the placebo group (p=0·018), which was mainly because of a higher number of injection site reactions in the anakinra group. Canakinumab and anakinra were safe but were not effective as single immunomodulatory drugs in recent-onset type 1 diabetes. Interleukin-1 blockade might be more effective in combination with treatments that target adaptive immunity in organ-specific autoimmune disorders. National Institutes of Health and Juvenile Diabetes Research Foundation. Copyright © 2013 Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: InvestigationRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Academic Editor
                Journal
                PLoS Med
                PLoS Med
                plos
                plosmed
                PLoS Medicine
                Public Library of Science (San Francisco, CA USA )
                1549-1277
                1549-1676
                12 September 2019
                September 2019
                : 16
                : 9
                : e1002901
                Affiliations
                [1 ] Division of Rheumatology, Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Italy
                [2 ] Division of Medical Statistics, Department of Biotechnological and Applied Clinical Science, University of L'Aquila, L'Aquila, Italy
                [3 ] Rheumatology and Clinical Immunology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
                [4 ] Department of Rheumatology, Gaetano Pini Institute, Milan, Italy
                [5 ] Research Center of Systemic Autoinflammatory Diseases and Behçet's Disease and Rheumatology-Ophthalmology Collaborative Uveitis Center, Department of Medical Sciences, Surgery and Neurosciences, University of Siena, Siena, Italy
                [6 ] Rheumatology Clinic, Department of Medical and Surgical Sciences, University of Foggia Medical School, Foggia, Italy
                [7 ] Rheumatology Service, ASL Lecce—DSS Casarano and Gallipoli (LE), Casarano (LE), Italy
                [8 ] Division of Rheumatology, Department of Precision Medicine, University of Campania ‘Luigi Vanvitelli’, Naples, Italy
                [9 ] Rheumatology Unit, S.Orsola-Malpighi Teaching Hospital, Bologna, Italy
                [10 ] Rheumatology Unit, Azienda Ospedaliera San Camillo-Forlanini, Rome, Italy
                [11 ] Rheumatology Unit, Department of Medicine, University of Verona, Verona, Italy
                Harvard Medical School, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist for this work.

                Author information
                http://orcid.org/0000-0003-3487-8551
                http://orcid.org/0000-0003-0290-5324
                http://orcid.org/0000-0002-7352-1275
                http://orcid.org/0000-0002-5502-630X
                http://orcid.org/0000-0003-0670-9638
                Article
                PMEDICINE-D-19-00291
                10.1371/journal.pmed.1002901
                6742232
                31513665
                47d80a45-dc4b-4bc5-89da-19da1e4b3037
                © 2019 Ruscitti et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 25 January 2019
                : 9 August 2019
                Page count
                Figures: 3, Tables: 5, Pages: 22
                Funding
                The authors received no specific funding for this work.
                Categories
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