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      Functional IL6R 358Ala Allele Impairs Classical IL-6 Receptor Signaling and Influences Risk of Diverse Inflammatory Diseases

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          Abstract

          Inflammation, which is directly regulated by interleukin-6 (IL-6) signaling, is implicated in the etiology of several chronic diseases. Although a common, non-synonymous variant in the IL-6 receptor gene ( IL6R Asp358Ala; rs2228145 A>C) is associated with the risk of several common diseases, with the 358Ala allele conferring protection from coronary heart disease (CHD), rheumatoid arthritis (RA), atrial fibrillation (AF), abdominal aortic aneurysm (AAA), and increased susceptibility to asthma, the variant's effect on IL-6 signaling is not known. Here we provide evidence for the association of this non-synonymous variant with the risk of type 1 diabetes (T1D) in two independent populations and confirm that rs2228145 is the major determinant of the concentration of circulating soluble IL-6R (sIL-6R) levels (34.6% increase in sIL-6R per copy of the minor allele 358Ala; rs2228145 [C]). To further investigate the molecular mechanism of this variant, we analyzed expression of IL-6R in peripheral blood mononuclear cells (PBMCs) in 128 volunteers from the Cambridge BioResource. We demonstrate that, although 358Ala increases transcription of the soluble IL6R isoform ( P = 8.3×10 −22) and not the membrane-bound isoform, 358Ala reduces surface expression of IL-6R on CD4+ T cells and monocytes (up to 28% reduction per allele; P≤5.6×10 −22). Importantly, reduced expression of membrane-bound IL-6R resulted in impaired IL-6 responsiveness, as measured by decreased phosphorylation of the transcription factors STAT3 and STAT1 following stimulation with IL-6 ( P≤5.2×10 −7). Our findings elucidate the regulation of IL-6 signaling by IL-6R, which is causally relevant to several complex diseases, identify mechanisms for new approaches to target the IL-6/IL-6R axis, and anticipate differences in treatment response to IL-6 therapies based on this common IL6R variant.

          Author Summary

          Interleukin-6 (IL-6) is a complex cytokine, which plays a critical role in the regulation of inflammatory responses. Genetic variation in the IL-6 receptor gene is associated with the risk of several human diseases with an inflammatory component, including coronary heart disease, rheumatoid arthritis, and asthma. A common non-synonymous single nucleotide polymorphism in this gene (Asp358Ala) has been suggested to be the causal variant in this region by affecting the circulatory concentrations of soluble IL-6R (sIL-6R). In this study we extend the genetic association of this variant to type 1 diabetes and provide evidence that this variant exerts its functional mechanism by regulating the balance between sIL-6R (generated through cleavage of the surface receptor and by alternative splicing of a soluble IL6R isoform) and membrane-bound IL-6R. These data show for the first time that the minor allele of this non-synonymous variant (Ala358) directly controls the surface levels of IL-6R on individual immune cells and that these differences in protein levels translate into a functional impairment in IL-6R signaling. These findings may have implications for clinical trials targeting inflammatory mechanisms involving IL-6R signaling and may provide tools for identifying patients with specific benefit from therapeutic intervention in the IL-6R signaling pathway.

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          Most cited references27

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          Therapeutic strategies for the clinical blockade of IL-6/gp130 signaling.

          The successful treatment of certain autoimmune conditions with the humanized anti-IL-6 receptor (IL-6R) antibody tocilizumab has emphasized the clinical importance of cytokines that signal through the β-receptor subunit glycoprotein 130 (gp130). In this Review, we explore how gp130 signaling controls disease progression and examine why IL-6 has a special role among these cytokines as an inflammatory regulator. Attention will be given to the role of the soluble IL-6R, and we will provide a perspective into the clinical blockade of IL-6 activity in autoimmunity, inflammation, and cancer.
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            IL-6 signaling in autoimmunity, chronic inflammation and inflammation-associated cancer.

            IL-6 activates various cell types carrying the membrane bound IL-6R (classical IL-6 signaling) as well as IL-6R(-) gp130(+) cells via the soluble IL-6R (IL-6 trans-signaling). IL-6 signaling plays a pivotal role in controlling the differentiation and activation of T lymphocytes by inducing the Jak/STAT-3 and the Ras/Erk/C/EBP pathways. In particular, IL-6 modulates the resistance of T cells against apoptosis, induces activation of T helper cells and controls the balance between regulatory T cells and Th17 cells. Importantly, recent findings suggest that blockade of IL-6 signaling is effective in treating experimental models of autoimmune and chronic inflammatory diseases such as inflammatory bowel diseases, diabetes, multiple sclerosis, asthma and rheumatoid arthritis as well as models of inflammation-associated cancer. Thus, anti-IL-6/anti-IL-6R strategies emerge as promising novel approaches for therapy of inflammatory diseases in humans. In this review article, we discuss the latest findings on the role of IL-6 in experimental models of autoimmunity and cancer, as well as clinical perspectives. Copyright © 2011 Elsevier Ltd. All rights reserved.
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              Nonredundant roles for Stat5a/b in directly regulating Foxp3.

              Stats (signal transducers and activators of transcription) regulate multiple aspects of T-cell fate. T regulatory (Treg) cells are a critical subset that limits immune responses, but the relative importance of Stat5a/b versus Stat3 for Treg cell development has been contentious. We observed that peripheral CD25(+)CD4(+) T cells were reduced in Stat5(DeltaN) mice; however, the levels of Foxp3, a transcription factor that is critical for Treg cells, were normal in splenic CD4(+) T cells even though they were reduced in the thymus. In contrast, complete deletion of Stat5a/b (Stat5(-/-)) resulted in dramatic reduction in CD25- or Foxp3-expressing CD4(+) T cells. An intrinsic requirement was demonstrated by reduction of Stat5a/b in CD4-expressing cells and by stem cell transplantation using Stat5(-/-) fetal liver cells. Stat5a/b were also required for optimal induction of Foxp3 in vitro and bound directly to the Foxp3 gene. Reduction of Stat3 in T cells did not reduce the numbers of Treg cells in the thymus or spleen; however, Stat3 was required for IL-6-dependent down-regulation of Foxp3. Therefore, we conclude that Stat5a/b have an essential, nonredundant role in regulating Treg cells, and that Stat3 and Stat5a/b appear to have opposing roles in the regulation of Foxp3.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS Genet
                PLoS Genet
                plos
                plosgen
                PLoS Genetics
                Public Library of Science (San Francisco, USA )
                1553-7390
                1553-7404
                April 2013
                April 2013
                4 April 2013
                : 9
                : 4
                : e1003444
                Affiliations
                [1 ]Juvenile Diabetes Research Foundation/Wellcome Trust Diabetes and Inflammation Laboratory, Department of Medical Genetics, NIHR Cambridge Biomedical Research Centre, Cambridge Institute for Medical Research, University of Cambridge, Cambridge, United Kingdom
                [2 ]Department of Public Health and Primary Care, Strangeways Research Laboratory, University of Cambridge, Cambridge, United Kingdom
                [3 ]Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia, United States of America
                [4 ]Precision Medicine, Pfizer Global Research and Development, Cambridge, United Kingdom
                Georgia Institute of Technology, United States of America
                Author notes

                AM is a full time employee of Pfizer. JD has received research funding from the British Heart Foundation; BUPA Foundation; Denka; diaDexus; European Union; European Research Council; Evelyn Trust; Fogarty International Centre; GlaxoSmithKline; Medical Research Council; Merck Sharp and Dohme; National Heart, Lung, and Blood Institute; National Institute of Neurological Disorders and Stroke; National Institute for Health Research; Novartis; Pfizer; Roche; Wellcome Trust; and UK Biobank; and has served on advisory boards for Merck, Pfizer, and Novartis, for which he has received compensation. All other authors have declared that no competing interest exist.

                Conceived and designed the experiments: RCF DFF ASB AM JD JAT. Performed the experiments: RCF DFF AJC DBR DJS PC CB MLP. Analyzed the data: RCF DFF JMMH SK RMC. Contributed reagents/materials/analysis tools: W-MC SO-G SSR. Wrote the paper: RCF DFF JD JAT.

                Article
                PGENETICS-D-13-00012
                10.1371/journal.pgen.1003444
                3617094
                23593036
                3c16e7b3-5dc6-465e-8c8b-71db750df169
                Copyright @ 2013

                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
                : 29 December 2012
                : 26 February 2013
                Page count
                Pages: 12
                Funding
                RCF was funded by a JDRF post-doctoral fellowship (3-2011-374). DFF was funded by a BHF PhD scholarship (FS/09/050). This work was supported by the Wellcome Trust (096388), the JDRF (9-2011-253), the National Institute for Health Research (NIHR) Cambridge Biomedical Research Centre, and the European Union's Seventh Framework Programme (FP7/2007–2013) under grant agreement 241447 (NAIMIT - Natural Immunomodulators as Novel Immunotherapies for Type 1 Diabetes). The Cambridge Institute for Medical Research (CIMR) is in receipt of a Wellcome Trust Strategic Award (100140). We thank members of the Cambridge BioResource SAB and management committee for their support and the National Institute for Health Research Cambridge Biomedical Research Centre for funding. We used in this study DNA from the UK Blood Services collection of Common Controls (UKBS collection), funded by the Wellcome Trust grant 076113/C/04/Z, by the Wellcome Trust/Juvenile Diabetes Research Foundation grant 061858, and by the National Institute of Health Research of England. The collection was established as part of the Wellcome Trust Case-Control Consortium. The UK Medical Research Council and Wellcome Trust provided funding for the collection of DNA for the British 1958 Birth Cohort (MRC grant G0000934, WT grant 068545/Z/02). 1958 Birth cohort DNA control samples were prepared and provided by S. Ring, R. Jones, and M. and W. McArdle of the University of Bristol; D. Strachan of the University of London; and P. Burton of the University of Leicester. This research utilizes resources provided by the Type 1 Diabetes Genetics Consortium, a collaborative clinical study sponsored by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institute of Allergy and Infectious Diseases (NIAID), National Human Genome Research Institute (NHGRI), National Institute of Child Health and Human Development (NICHD), and Juvenile Diabetes Research Foundation International (JDRF) and supported by U01 DK062418. DFF, JMMH, SK, ASB, and JD are members of the Cardiovascular Epidemiology Unit, which is funded by the British Heart Foundation (RG/08/014), the UK Medical Research Council, the UK National Institute of Health Research, and the Cambridge Biomedical Research Centre. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology
                Genetics
                Human Genetics
                Genetic Association Studies
                Personalized Medicine
                Genetics of Disease
                Genomics
                Genomic Medicine
                Pharmacogenomics
                Immunology
                Autoimmunity

                Genetics
                Genetics

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