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Paul DS, Teschendorff AE, Dang MAN, Lowe R, Hawa MI, Ecker S, Beyan H, Cunningham S, Fouts AR, Ramelius A, Burden F, Farrow S, Rowlston S, Rehnstrom K, Frontini M, Downes K, Busche S, Cheung WA, Ge B, Simon MM, Bujold D, Kwan T, Bourque G, Datta A, Lowy E, Clarke L, Flicek P, Libertini E, Heath S, Gut M, Gut IG, Ouwehand WH, Pastinen T, Soranzo N, Hofer SE, Karges B, Meissner T, Boehm BO, Cilio C, Elding Larsson H, Lernmark Å, Steck AK, Rakyan VK, Beck S, Leslie RD. Increased DNA methylation variability in type 1 diabetes across three immune effector cell types. Nat Commun 2016; 7:13555. [PMID: 27898055 PMCID: PMC5141286 DOI: 10.1038/ncomms13555] [Citation(s) in RCA: 119] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2016] [Accepted: 10/04/2016] [Indexed: 02/06/2023] Open
Abstract
The incidence of type 1 diabetes (T1D) has substantially increased over the past decade, suggesting a role for non-genetic factors such as epigenetic mechanisms in disease development. Here we present an epigenome-wide association study across 406,365 CpGs in 52 monozygotic twin pairs discordant for T1D in three immune effector cell types. We observe a substantial enrichment of differentially variable CpG positions (DVPs) in T1D twins when compared with their healthy co-twins and when compared with healthy, unrelated individuals. These T1D-associated DVPs are found to be temporally stable and enriched at gene regulatory elements. Integration with cell type-specific gene regulatory circuits highlight pathways involved in immune cell metabolism and the cell cycle, including mTOR signalling. Evidence from cord blood of newborns who progress to overt T1D suggests that the DVPs likely emerge after birth. Our findings, based on 772 methylomes, implicate epigenetic changes that could contribute to disease pathogenesis in T1D. The incidence of type 1 diabetes is increasing, potentially implicating non-genetic factors. Here the authors conduct an epigenome-wide association study in disease-discordant twins and find increased DNA methylation variability at genes associated with immune cell metabolism and the cell cycle.
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Affiliation(s)
- Dirk S Paul
- Medical Genomics, UCL Cancer Institute, University College London, London WC1E 6BT, UK.,Cardiovascular Epidemiology Unit, Department of Public Health and Primary Care, University of Cambridge, Strangeways Research Laboratory, Cambridge CB1 8RN, UK
| | - Andrew E Teschendorff
- CAS Key Lab of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute for Biological Sciences, Chinese Academy of Sciences, Shanghai 200031, China.,Statistical Cancer Genomics, UCL Cancer Institute, University College London, London WC1E 6BT, UK
| | - Mary A N Dang
- The Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK
| | - Robert Lowe
- The Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK
| | - Mohammed I Hawa
- The Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK
| | - Simone Ecker
- Medical Genomics, UCL Cancer Institute, University College London, London WC1E 6BT, UK
| | - Huriya Beyan
- The Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK
| | - Stephanie Cunningham
- The Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK
| | - Alexandra R Fouts
- Barbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, Colorado 80045, USA
| | - Anita Ramelius
- Department of Clinical Sciences, Lund University, Skåne University Hospital, SE-20502 Malmö, Sweden
| | - Frances Burden
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0PT, UK.,National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge CB2 0PT, UK
| | - Samantha Farrow
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0PT, UK.,National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge CB2 0PT, UK
| | - Sophia Rowlston
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0PT, UK.,National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge CB2 0PT, UK
| | - Karola Rehnstrom
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0PT, UK.,National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge CB2 0PT, UK
| | - Mattia Frontini
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0PT, UK.,National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge CB2 0PT, UK.,British Heart Foundation Centre of Excellence, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK
| | - Kate Downes
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0PT, UK.,National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge CB2 0PT, UK
| | - Stephan Busche
- Department of Human Genetics, McGill University, Montreal, Québec, Canada H3A 0G1.,McGill University and Genome Quebec Innovation Centre, Montreal, Québec, Canada H3A 0G1
| | - Warren A Cheung
- Department of Human Genetics, McGill University, Montreal, Québec, Canada H3A 0G1.,McGill University and Genome Quebec Innovation Centre, Montreal, Québec, Canada H3A 0G1
| | - Bing Ge
- Department of Human Genetics, McGill University, Montreal, Québec, Canada H3A 0G1.,McGill University and Genome Quebec Innovation Centre, Montreal, Québec, Canada H3A 0G1
| | - Marie-Michelle Simon
- Department of Human Genetics, McGill University, Montreal, Québec, Canada H3A 0G1.,McGill University and Genome Quebec Innovation Centre, Montreal, Québec, Canada H3A 0G1
| | - David Bujold
- Department of Human Genetics, McGill University, Montreal, Québec, Canada H3A 0G1.,McGill University and Genome Quebec Innovation Centre, Montreal, Québec, Canada H3A 0G1
| | - Tony Kwan
- Department of Human Genetics, McGill University, Montreal, Québec, Canada H3A 0G1.,McGill University and Genome Quebec Innovation Centre, Montreal, Québec, Canada H3A 0G1
| | - Guillaume Bourque
- Department of Human Genetics, McGill University, Montreal, Québec, Canada H3A 0G1.,McGill University and Genome Quebec Innovation Centre, Montreal, Québec, Canada H3A 0G1
| | - Avik Datta
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Ernesto Lowy
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Laura Clarke
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Paul Flicek
- European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SD, UK
| | - Emanuele Libertini
- Medical Genomics, UCL Cancer Institute, University College London, London WC1E 6BT, UK
| | - Simon Heath
- CNAG-CRG, Centre for Genomic Regulation, Barcelona Institute of Science and Technology (BIST), Baldiri Reixac 4, 08028 Barcelona, Spain.,Universitat Pompeu Fabra, Plaça de la Mercè 10, 08002 Barcelona, Spain
| | - Marta Gut
- CNAG-CRG, Centre for Genomic Regulation, Barcelona Institute of Science and Technology (BIST), Baldiri Reixac 4, 08028 Barcelona, Spain.,Universitat Pompeu Fabra, Plaça de la Mercè 10, 08002 Barcelona, Spain
| | - Ivo G Gut
- CNAG-CRG, Centre for Genomic Regulation, Barcelona Institute of Science and Technology (BIST), Baldiri Reixac 4, 08028 Barcelona, Spain.,Universitat Pompeu Fabra, Plaça de la Mercè 10, 08002 Barcelona, Spain
| | - Willem H Ouwehand
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0PT, UK.,National Health Service Blood and Transplant, Cambridge Biomedical Campus, Cambridge CB2 0PT, UK.,British Heart Foundation Centre of Excellence, Cambridge Biomedical Campus, Cambridge CB2 0QQ, UK.,Human Genetics, Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Tomi Pastinen
- Department of Human Genetics, McGill University, Montreal, Québec, Canada H3A 0G1.,McGill University and Genome Quebec Innovation Centre, Montreal, Québec, Canada H3A 0G1
| | - Nicole Soranzo
- Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge CB2 0PT, UK.,Human Genetics, Wellcome Trust Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge CB10 1SA, UK
| | - Sabine E Hofer
- Department of Pediatrics, Medical University of Innsbruck, 6020 Innsbruck, Austria
| | - Beate Karges
- Division of Endocrinology and Diabetes, RWTH Aachen University, 52074 Aachen, Germany.,German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
| | - Thomas Meissner
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany.,Department of General Pediatrics, Neonatology and Pediatric Cardiology, University Children's Hospital, Heinrich Heine University of Düsseldorf, 40225 Düsseldorf, Germany
| | - Bernhard O Boehm
- Division of Endocrinology, Department of Internal Medicine I, Ulm University Medical Centre, 89081 Ulm, Germany.,Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 636921, Singapore.,Imperial College London, London SW7 2AZ, UK
| | - Corrado Cilio
- Department of Clinical Sciences, Lund University, Skåne University Hospital, SE-20502 Malmö, Sweden
| | - Helena Elding Larsson
- Department of Clinical Sciences, Lund University, Skåne University Hospital, SE-20502 Malmö, Sweden
| | - Åke Lernmark
- Department of Clinical Sciences, Lund University, Skåne University Hospital, SE-20502 Malmö, Sweden
| | - Andrea K Steck
- Barbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora, Colorado 80045, USA
| | - Vardhman K Rakyan
- The Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK
| | - Stephan Beck
- Medical Genomics, UCL Cancer Institute, University College London, London WC1E 6BT, UK
| | - R David Leslie
- The Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK
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Gemma C, Ramagopalan SV, Down TA, Beyan H, Hawa MI, Holland ML, Hurd PJ, Giovannoni G, Leslie RD, Ebers GC, Rakyan VK. Inactive or moderately active human promoters are enriched for inter-individual epialleles. Genome Biol 2013; 14:R43. [PMID: 23706135 PMCID: PMC4053860 DOI: 10.1186/gb-2013-14-5-r43] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2012] [Accepted: 05/25/2013] [Indexed: 11/13/2022] Open
Abstract
Background Inter-individual epigenetic variation, due to genetic, environmental or random influences, is observed in many eukaryotic species. In mammals, however, the molecular nature of epiallelic variation has been poorly defined, partly due to the restricted focus on DNA methylation. Here we report the first genome-scale investigation of mammalian epialleles that integrates genomic, methylomic, transcriptomic and histone state information. Results First, in a small sample set, we demonstrate that non-genetically determined inter-individual differentially methylated regions (iiDMRs) can be temporally stable over at least 2 years. Then, we show that iiDMRs are associated with changes in chromatin state as measured by inter-individual differences in histone variant H2A.Z levels. However, the correlation of promoter iiDMRs with gene expression is negligible and not improved by integrating H2A.Z information. We find that most promoter epialleles, whether genetically or non-genetically determined, are associated with low levels of transcriptional activity, depleted for housekeeping genes, and either depleted for H3K4me3/enriched for H3K27me3 or lacking both these marks in human embryonic stem cells. The preferential enrichment of iiDMRs at regions of relative transcriptional inactivity validates in a larger independent cohort, and is reminiscent of observations previously made for promoters that undergo hypermethylation in various cancers, in vitro cell culture and ageing. Conclusions Our work identifies potential key features of epiallelic variation in humans, including temporal stability of non-genetically determined epialleles, and concomitant perturbations of chromatin state. Furthermore, our work suggests a novel mechanistic link among inter-individual epialleles observed in the context of normal variation, cancer and ageing.
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3
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Hawa MI, Kolb H, Schloot N, Beyan H, Paschou SA, Buzzetti R, Mauricio D, De Leiva A, Yderstraede K, Beck-Neilsen H, Tuomilehto J, Sarti C, Thivolet C, Hadden D, Hunter S, Schernthaner G, Scherbaum WA, Williams R, Brophy S, Pozzilli P, Leslie RD. Adult-onset autoimmune diabetes in Europe is prevalent with a broad clinical phenotype: Action LADA 7. Diabetes Care 2013; 36:908-13. [PMID: 23248199 PMCID: PMC3609504 DOI: 10.2337/dc12-0931] [Citation(s) in RCA: 219] [Impact Index Per Article: 19.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Specific autoantibodies characterize type 1 diabetes in childhood but are also found in adult-onset diabetes, even when initially non-insulin requiring, e.g., with latent autoimmune diabetes (LADA). We aimed to characterize adult-onset autoimmune diabetes. RESEARCH DESIGN AND METHODS We consecutively studied 6,156 European diabetic patients attending clinics within 5 years of diagnosis (age range, 30-70 years) examined cross-sectionally clinically and for GAD antibodies (GADA) and antibodies to insulinoma-associated antigen-2 (IA-2A) and zinc-transporter 8 (ZnT8A). RESULTS Of 6,156 patients, 541 (8.8%) had GADA and only 57 (0.9%) IA-2A or ZnT8A alone. More autoantibody-positive than autoantibody-negative patients were younger, leaner, on insulin (49.5 vs. 13.2%), and female (P < 0.0001 for each), though LADA patients (9.7% of total) did not show categorically distinct clinical features from autoantibody-negative type 2 diabetes. Similarly, more GADA patients with high (>200 World Health Organization IU) (n = 403) compared with low (n = 138) titer were female, lean, and insulin treated (54.6 vs. 39.7%) (P < 0.02 for each). Autoantibody-positive patients usually had GADA (541 of 598; 90.5%) and had LADA more often than type 1 autoimmune diabetes (odds ratio 3.3). CONCLUSIONS Adult-onset autoimmune diabetes emerges as a prevalent form of autoimmune diabetes. Our results indicate that adult-onset autoimmune diabetes in Europe encompasses type 1 diabetes and LADA in the same broad clinical and autoantibody-positive spectrum. At diagnosis, patients with adult-onset autoimmune diabetes are usually non-insulin requiring and clinically indistinguishable from patients with type 2 diabetes, though they tend to be younger and leaner. Only with screening for autoantibodies, especially GADA, can they be identified with certainty.
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Affiliation(s)
- Mohammed I Hawa
- Blizard Institute, Queen Mary University of London, London, UK
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4
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Lowe R, Gemma C, Beyan H, Hawa MI, Bazeos A, Leslie RD, Montpetit A, Rakyan VK, Ramagopalan SV. Buccals are likely to be a more informative surrogate tissue than blood for epigenome-wide association studies. Epigenetics 2013; 8:445-54. [PMID: 23538714 DOI: 10.4161/epi.24362] [Citation(s) in RCA: 126] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
There is increasing evidence that interindividual epigenetic variation is an etiological factor in common human diseases. Such epigenetic variation could be genetic or non-genetic in origin, and epigenome-wide association studies (EWASs) are underway for a wide variety of diseases/phenotypes. However, performing an EWAS is associated with a range of issues not typically encountered in genome-wide association studies (GWASs), such as the tissue to be analyzed. In many EWASs, it is not possible to analyze the target tissue in large numbers of live humans, and consequently surrogate tissues are employed, most commonly blood. But there is as yet no evidence demonstrating that blood is more informative than buccal cells, the other easily accessible tissue. To assess the potential of buccal cells for use in EWASs, we performed a comprehensive analysis of a buccal cell methylome using whole-genome bisulfite sequencing. Strikingly, a buccal vs. blood comparison reveals>6X as many hypomethylated regions in buccal. These tissue-specific differentially methylated regions (tDMRs) are strongly enriched for DNaseI hotspots. Almost 75% of these tDMRs are not captured by commonly used DNA methylome profiling platforms such as Reduced Representational Bisulfite Sequencing and the Illumina Infinium HumanMethylation450 BeadChip, and they also display distinct genomic properties. Buccal hypo-tDMRs show a statistically significant enrichment near SNPs associated to disease identified through GWASs. Finally, we find that, compared with blood, buccal hypo-tDMRs show significantly greater overlap with hypomethylated regions in other tissues. We propose that for non-blood based diseases/phenotypes, buccal will be a more informative tissue for EWASs.
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Affiliation(s)
- Robert Lowe
- The Blizard Institute; Barts and The London School of Medicine and Dentistry; Queen Mary University of London; London, UK
| | - Carolina Gemma
- The Blizard Institute; Barts and The London School of Medicine and Dentistry; Queen Mary University of London; London, UK
| | - Huriya Beyan
- The Blizard Institute; Barts and The London School of Medicine and Dentistry; Queen Mary University of London; London, UK
| | - Mohammed I Hawa
- The Blizard Institute; Barts and The London School of Medicine and Dentistry; Queen Mary University of London; London, UK
| | - Alexandra Bazeos
- The Blizard Institute; Barts and The London School of Medicine and Dentistry; Queen Mary University of London; London, UK; Department of Haematology; Imperial College London; Hammersmith Hospital; London, UK
| | - R David Leslie
- The Blizard Institute; Barts and The London School of Medicine and Dentistry; Queen Mary University of London; London, UK
| | | | - Vardhman K Rakyan
- The Blizard Institute; Barts and The London School of Medicine and Dentistry; Queen Mary University of London; London, UK
| | - Sreeram V Ramagopalan
- The Blizard Institute; Barts and The London School of Medicine and Dentistry; Queen Mary University of London; London, UK
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5
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Abstract
Type 1 diabetes mellitus (T1DM) is due, in part, to non-genetically determined factors including environmental factors. The nature of these environmental effects remains unclear but they are important to identify since they may be amenable to therapy. Recently, the gut microbiota, the trillions of microorganisms inhabiting the gut, as well as diet, have been implicated in T1DM pathogenesis. Since dietary changes can reshape this complex gut community, its co-evolution could have been altered by changes to our diet, agriculture, personal hygiene, and antibiotic usage, which coincide with the increased incidence of T1DM. Recent studies demonstrate an association between altered gut microbiota and T1DM in both T1DM patients and animal models of the disease. Further studies should provide new insight into those critical host-microbial interactions, potentially suggesting new diagnostic or therapeutic strategies for disease prevention.
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Affiliation(s)
- H Beyan
- Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, 4 Newark Street, London, E1 2AT, UK
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6
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Beyan H, Down TA, Ramagopalan SV, Uvebrant K, Nilsson A, Holland ML, Gemma C, Giovannoni G, Boehm BO, Ebers GC, Lernmark Å, Cilio CM, Leslie RD, Rakyan VK. Guthrie card methylomics identifies temporally stable epialleles that are present at birth in humans. Genome Res 2012; 22:2138-45. [PMID: 22919074 PMCID: PMC3483543 DOI: 10.1101/gr.134304.111] [Citation(s) in RCA: 55] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
A major concern in common disease epigenomics is distinguishing causal from consequential epigenetic variation. One means of addressing this issue is to identify the temporal origins of epigenetic variants via longitudinal analyses. However, prospective birth-cohort studies are expensive and time consuming. Here, we report DNA methylomics of archived Guthrie cards for the retrospective longitudinal analyses of in-utero-derived DNA methylation variation. We first validate two methodologies for generating comprehensive DNA methylomes from Guthrie cards. Then, using an integrated epigenomic/genomic analysis of Guthrie cards and follow-up samplings, we identify interindividual DNA methylation variation that is present both at birth and 3 yr later. These findings suggest that disease-relevant epigenetic variation could be detected at birth, i.e., before overt clinical disease. Guthrie card methylomics offers a potentially powerful and cost-effective strategy for studying the dynamics of interindividual epigenomic variation in a range of common human diseases.
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Affiliation(s)
- Huriya Beyan
- The Blizard Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, United Kingdom
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7
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Beyan H, Riese H, Hawa MI, Beretta G, Davidson HW, Hutton JC, Burger H, Schlosser M, Snieder H, Boehm BO, Leslie RD. Glycotoxin and autoantibodies are additive environmentally determined predictors of type 1 diabetes: a twin and population study. Diabetes 2012; 61:1192-8. [PMID: 22396204 PMCID: PMC3331747 DOI: 10.2337/db11-0971] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
In type 1 diabetes, diabetes-associated autoantibodies, including islet cell antibodies (ICAs), reflect adaptive immunity, while increased serum N(ε)-carboxymethyl-lysine (CML), an advanced glycation end product, is associated with proinflammation. We assessed whether serum CML and autoantibodies predicted type 1 diabetes and to what extent they were determined by genetic or environmental factors. Of 7,287 unselected schoolchildren screened, 115 were ICA(+) and were tested for baseline CML and diabetes autoantibodies and followed (for median 7 years), whereas a random selection (n = 2,102) had CML tested. CML and diabetes autoantibodies were determined in a classic twin study of twin pairs discordant for type 1 diabetes (32 monozygotic, 32 dizygotic pairs). CML was determined by enzyme-linked immunosorbent assay, autoantibodies were determined by radioimmunoprecipitation, ICA was determined by indirect immunofluorescence, and HLA class II genotyping was determined by sequence-specific oligonucleotides. CML was increased in ICA(+) and prediabetic schoolchildren and in diabetic and nondiabetic twins (all P < 0.001). Elevated levels of CML in ICA(+) children were a persistent, independent predictor of diabetes progression, in addition to autoantibodies and HLA risk. In twins model fitting, familial environment explained 75% of CML variance, and nonshared environment explained all autoantibody variance. Serum CML, a glycotoxin, emerged as an environmentally determined diabetes risk factor, in addition to autoimmunity and HLA genetic risk, and a potential therapeutic target.
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Affiliation(s)
- Huriya Beyan
- Centre for Diabetes and Metabolic Medicine, Blizard Institute, Queen Mary, University of London, London, U.K
| | - Harriette Riese
- Unit of Genetic Epidemiology & Bioinformatics, Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Interdisciplinary Center for Psychiatric Epidemiology, Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Mohammed I. Hawa
- Centre for Diabetes and Metabolic Medicine, Blizard Institute, Queen Mary, University of London, London, U.K
| | - Guisi Beretta
- Centre for Diabetes and Metabolic Medicine, Blizard Institute, Queen Mary, University of London, London, U.K
| | | | - John C. Hutton
- Barbara Davis Center, University of Colorado Denver, Aurora, Colorado
| | - Huibert Burger
- Interdisciplinary Center for Psychiatric Epidemiology, Department of Psychiatry, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Michael Schlosser
- Institute of Pathophysiology, Ernst Moritz Arndt University of Greifswald, Greifswald, Germany
- Division of Endocrinology and Diabetes, University Medical Center Ulm, Ulm, Germany
| | - Harold Snieder
- Unit of Genetic Epidemiology & Bioinformatics, Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Bernhard O. Boehm
- Division of Endocrinology and Diabetes, University Medical Center Ulm, Ulm, Germany
| | - R. David Leslie
- Centre for Diabetes and Metabolic Medicine, Blizard Institute, Queen Mary, University of London, London, U.K
- Corresponding author: R. David Leslie,
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8
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Affiliation(s)
- R David Leslie
- Blizard Institute, Barts and the London School of Medicine and Dentistry, London, UK.
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9
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Rakyan VK, Beyan H, Down TA, Hawa MI, Maslau S, Aden D, Daunay A, Busato F, Mein CA, Manfras B, Dias KRM, Bell CG, Tost J, Boehm BO, Beck S, Leslie RD. Identification of type 1 diabetes-associated DNA methylation variable positions that precede disease diagnosis. PLoS Genet 2011; 7:e1002300. [PMID: 21980303 PMCID: PMC3183089 DOI: 10.1371/journal.pgen.1002300] [Citation(s) in RCA: 271] [Impact Index Per Article: 20.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2010] [Accepted: 08/03/2011] [Indexed: 12/24/2022] Open
Abstract
Monozygotic (MZ) twin pair discordance for childhood-onset Type 1 Diabetes (T1D) is ∼50%, implicating roles for genetic and non-genetic factors in the aetiology of this complex autoimmune disease. Although significant progress has been made in elucidating the genetics of T1D in recent years, the non-genetic component has remained poorly defined. We hypothesized that epigenetic variation could underlie some of the non-genetic component of T1D aetiology and, thus, performed an epigenome-wide association study (EWAS) for this disease. We generated genome-wide DNA methylation profiles of purified CD14+ monocytes (an immune effector cell type relevant to T1D pathogenesis) from 15 T1D–discordant MZ twin pairs. This identified 132 different CpG sites at which the direction of the intra-MZ pair DNA methylation difference significantly correlated with the diabetic state, i.e. T1D–associated methylation variable positions (T1D–MVPs). We confirmed these T1D–MVPs display statistically significant intra-MZ pair DNA methylation differences in the expected direction in an independent set of T1D–discordant MZ pairs (P = 0.035). Then, to establish the temporal origins of the T1D–MVPs, we generated two further genome-wide datasets and established that, when compared with controls, T1D–MVPs are enriched in singletons both before (P = 0.001) and at (P = 0.015) disease diagnosis, and also in singletons positive for diabetes-associated autoantibodies but disease-free even after 12 years follow-up (P = 0.0023). Combined, these results suggest that T1D–MVPs arise very early in the etiological process that leads to overt T1D. Our EWAS of T1D represents an important contribution toward understanding the etiological role of epigenetic variation in type 1 diabetes, and it is also the first systematic analysis of the temporal origins of disease-associated epigenetic variation for any human complex disease. Type 1 diabetes (T1D) is a complex autoimmune disease affecting >30 million people worldwide. It is caused by a combination of genetic and non-genetic factors, leading to destruction of insulin-secreting cells. Although significant progress has recently been made in elucidating the genetics of T1D, the non-genetic component has remained poorly defined. Epigenetic modifications, such as methylation of DNA, are indispensable for genomic processes such as transcriptional regulation and are frequently perturbed in human disease. We therefore hypothesized that epigenetic variation could underlie some of the non-genetic component of T1D aetiology, and we performed a genome-wide DNA methylation analysis of a specific subset of immune cells (monocytes) from monozygotic twins discordant for T1D. This revealed the presence of T1D–specific methylation variable positions (T1D–MVPs) in the T1D–affected co-twins. Since these T1D–MVPs were found in MZ twins, they cannot be due to genetic differences. Additional experiments revealed that some of these T1D–MVPs are found in individuals before T1D diagnosis, suggesting they arise very early in the process that leads to overt T1D and are not simply due to post-disease associated factors (e.g. medication or long-term metabolic changes). T1D–MVPs may thus potentially represent a previously unappreciated, and important, component of type 1 diabetes risk.
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Affiliation(s)
- Vardhman K Rakyan
- Blizard Institute of Cell and Molecular Science, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.
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Beyan H, Drexhage RC, van der Heul Nieuwenhuijsen L, de Wit H, Padmos RC, Schloot NC, Drexhage HA, Leslie RD. Monocyte gene-expression profiles associated with childhood-onset type 1 diabetes and disease risk: a study of identical twins. Diabetes 2010; 59:1751-5. [PMID: 20393150 PMCID: PMC2889775 DOI: 10.2337/db09-1433] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVE Monocytes in childhood-onset type 1 diabetes show distinct gene expression. We hypothesize that monocyte activation in monozygotic (MZ) twin pairs discordant for childhood-onset type 1 diabetes could reflect distinct stages of the disease process including diabetes susceptibility (differences between twins, both diabetic and nondiabetic, and control subjects) and/or disease progression (differences between diabetic and nondiabetic twins). RESEARCH DESIGN AND METHODS We studied patterns of inflammatory gene expression in peripheral blood monocytes of MZ twin pairs (n = 10 pairs) discordant for childhood-onset type 1 diabetes, normal control twin pairs (n = 10 pairs), and healthy control subjects (n = 51) using quantitative-PCR (Q-PCR). We tested the 24 genes previously observed by whole genome analyses and verified by Q-PCR in autoimmune diabetes and performed a hierarchical cluster analysis. RESULTS Of 24 genes abnormally expressed in childhood-onset type 1 diabetes, we revalidated abnormal expression in 16 of them in diabetic twins including distinct sets of downregulated (P < 0.03) and upregulated (P < 0.02) genes. Of these 16 genes, 13 were abnormally expressed in nondiabetic twins, implicating these genes in diabetes susceptibility (P < 0.044 for all). Cluster analysis of monocyte gene-expression in nondiabetic twins identified two distinct, mutually exclusive clusters, while diabetic twins had a network of positively correlated genes. CONCLUSIONS Patients with childhood-onset type 1 diabetes show abnormal monocyte gene-expression levels with an altered gene-expression network due to gene-environment interaction. Importantly, perturbed gene-expression clusters were also detected in nondiabetic twins, implicating monocyte abnormalities in susceptibility to diabetes.
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Affiliation(s)
- Huriya Beyan
- Blizard Institute of Cell and Molecular Science, Queen Mary, University of London, London, U.K
| | | | | | - Harm de Wit
- Department of Immunology, Erasmus Medical Center, Rotterdam, the Netherlands
| | | | - Nanette C. Schloot
- Institute for Clinical Diabetology, German Diabetes Center, Leibniz Center for Diabetes Research at Heinrich-Heine University Düsseldorf and the Department of Medicine/Metabolic Diseases, University Hospital, Düsseldorf, Germany
| | - Hemmo A. Drexhage
- Department of Immunology, Erasmus Medical Center, Rotterdam, the Netherlands
| | - Richard David Leslie
- Blizard Institute of Cell and Molecular Science, Queen Mary, University of London, London, U.K
- Corresponding author: Richard David Leslie,
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Rakyan VK, Down TA, Maslau S, Andrew T, Yang TP, Beyan H, Whittaker P, McCann OT, Finer S, Valdes AM, Leslie RD, Deloukas P, Spector TD. Human aging-associated DNA hypermethylation occurs preferentially at bivalent chromatin domains. Genome Res 2010; 20:434-9. [PMID: 20219945 DOI: 10.1101/gr.103101.109] [Citation(s) in RCA: 531] [Impact Index Per Article: 37.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
There is a growing realization that some aging-associated phenotypes/diseases have an epigenetic basis. Here, we report the first genome-scale study of epigenomic dynamics during normal human aging. We identify aging-associated differentially methylated regions (aDMRs) in whole blood in a discovery cohort, and then replicate these aDMRs in sorted CD4(+) T-cells and CD14(+) monocytes in an independent cohort, suggesting that aDMRs occur in precursor haematopoietic cells. Further replication of the aDMRs in buccal cells, representing a tissue that originates from a different germ layer compared with blood, demonstrates that the aDMR signature is a multitissue phenomenon. Moreover, we demonstrate that aging-associated DNA hypermethylation occurs predominantly at bivalent chromatin domain promoters. This same category of promoters, associated with key developmental genes, is frequently hypermethylated in cancers and in vitro cell culture, pointing to a novel mechanistic link between aberrant hypermethylation in cancer, aging, and cell culture.
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Affiliation(s)
- Vardhman K Rakyan
- Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK.
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12
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Affiliation(s)
- M Hawa
- Institute of Cell and Molecular Science, St. Bartholomew's Hospital, London ECIA 7BE, UK
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13
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Lawson JM, Tremble J, Dayan C, Beyan H, Leslie RDG, Peakman M, Tree TIM. Increased resistance to CD4+CD25hi regulatory T cell-mediated suppression in patients with type 1 diabetes. Clin Exp Immunol 2009; 154:353-9. [PMID: 19037920 DOI: 10.1111/j.1365-2249.2008.03810.x] [Citation(s) in RCA: 126] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Type I diabetes (T1D) is a T cell-mediated autoimmune disease characterized by loss of tolerance to islet autoantigens, leading to the destruction of insulin-producing beta cells. Peripheral tolerance to self is maintained in health through several regulatory mechanisms, including a population of CD4+CD25hi naturally occurring regulatory T cells (T(regs)), defects in which could contribute to loss of self-tolerance in patients with T1D. We have reported previously that near to T1D onset, patients demonstrate a reduced level of suppression by CD4+CD25hi T(regs) of autologous CD4+CD25- responder cells. Here we demonstrate that this defective regulation is also present in subjects with long-standing T1D (> 3 years duration; P = 0.009). No difference was observed in forkhead box P3 or CD127 expression on CD4+CD25hi T cells in patients with T1D that could account for this loss of suppression. Cross-over co-culture assays demonstrate a relative resistance to CD4+CD25hi T(reg)-mediated suppression within the CD4+CD25- T cells in all patients tested (P = 0.002), while there appears to be heterogeneity in the functional ability of CD4+CD25hi T(regs) from patients. In conclusion, this work demonstrates that defective regulation is a feature of T1D regardless of disease duration and that an impaired ability of responder T cells to be suppressed contributes to this defect.
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Affiliation(s)
- J M Lawson
- King's College London, Department of Immunobiology, King's College London, London, UK
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14
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Abstract
Monocytes infiltrate islets in non-obese diabetic (NOD) mice. Activated monocyte/macrophages express cyclo-oxygenase-2 (COX-2) promoting prostaglandin-E(2) (PGE(2)) secretion, while COX-1 expression is constitutive. We investigated in female NOD mice: (i) natural history of monocyte COX expression basally and following lipopolysaccharide (LPS) stimulation; (ii) impact of COX-2 specific inhibitor (Vioxx) on PGE(2), insulitis and diabetes. CD11b(+) monocytes were analysed for COX mRNA expression from NOD (n = 48) and C57BL/6 control (n = 18) mice. NOD mice were treated with either Vioxx (total dose 80 mg/kg) (n = 29) or methylcellulose as control (n = 29) administered by gavage at 4 weeks until diabetes developed or age 30 weeks. In all groups, basal monocyte COX mRNA and PGE(2) secretion were normal, while following LPS, after 5 weeks of age monocyte/macrophage COX-1 mRNA decreased (P < 0.01) and COX-2 mRNA increased (P < 0.01). However, diabetic NOD mice had reduced COX mRNA response (P = 0.03). Vioxx administration influenced neither PGE(2), insulitis nor diabetes. We demonstrate an isoform switch in monocyte/macrophage COX mRNA expression following LPS, which is altered in diabetic NOD mice as in human diabetes. However, Vioxx failed to affect insulitis or diabetes. We conclude that monocyte responses are altered in diabetic NOD mice but COX-2 expression is unlikely to be critical to disease risk.
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Affiliation(s)
- H Beyan
- Centre for Diabetes and Metabolic Medicine (DMM), Institute of Cell and Molecular Science, London, UK.
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15
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Padmos RC, Schloot NC, Beyan H, Ruwhof C, Staal FJT, de Ridder D, Aanstoot HJ, Lam-Tse WK, de Wit H, de Herder C, Drexhage RC, Menart B, Leslie RD, Drexhage HA. Distinct monocyte gene-expression profiles in autoimmune diabetes. Diabetes 2008; 57:2768-73. [PMID: 18599519 PMCID: PMC2551688 DOI: 10.2337/db08-0496] [Citation(s) in RCA: 55] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
OBJECTIVE There is evidence that monocytes of patients with type 1 diabetes show proinflammatory activation and disturbed migration/adhesion, but the evidence is inconsistent. Our hypothesis is that monocytes are distinctly activated/disturbed in different subforms of autoimmune diabetes. RESEARCH DESIGN AND METHODS We studied patterns of inflammatory gene expression in monocytes of patients with type 1 diabetes (juvenile onset, n = 30; adult onset, n = 30) and latent autoimmune diabetes of the adult (LADA) (n = 30) (controls subjects, n = 49; type 2 diabetic patients, n = 30) using quantitative PCR. We tested 25 selected genes: 12 genes detected in a prestudy via whole-genome analyses plus an additional 13 genes identified as part of a monocyte inflammatory signature previously reported. RESULTS We identified two distinct monocyte gene expression clusters in autoimmune diabetes. One cluster (comprising 12 proinflammatory cytokine/compound genes with a putative key gene PDE4B) was detected in 60% of LADA and 28% of adult-onset type 1 diabetic patients but in only 10% of juvenile-onset type 1 diabetic patients. A second cluster (comprising 10 chemotaxis, adhesion, motility, and metabolism genes) was detected in 43% of juvenile-onset type 1 diabetic and 33% of LADA patients but in only 9% of adult-onset type 1 diabetic patients. CONCLUSIONS Subgroups of type 1 diabetic patients show an abnormal monocyte gene expression with two profiles, supporting a concept of heterogeneity in the pathogenesis of autoimmune diabetes only partly overlapping with the presently known diagnostic categories.
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Affiliation(s)
- Roos C Padmos
- Department of Immunology, Erasmus MC, Rotterdam, the Netherlands
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Beyan H, Ola T, David R, Leslie G. Progression of autoimmune diabetes: slowly progressive insulin-dependent diabetes mellitus or latent autoimmune diabetes of adult. Ann N Y Acad Sci 2007; 1079:81-9. [PMID: 17130535 DOI: 10.1196/annals.1375.011] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Autoimmune diabetes is due to destruction of insulin-secreting beta islet cells by an immune-mediated process, which is induced and promoted by the interaction of genetic and environmental factors. This form of diabetes is one of a group of autoimmune diseases that affect about 10% of the population in the developed world. The detection of diabetes-associated autoantibodies, including glutamic acid decarboxylase antibodies (GADA), islet cell antibodies (ICA), and insulinoma-associated (IA-2) autoantibodies is widely held to reflect an underlying autoimmune pathology but the clinical features associated with the presence of these diabetes-associated autoantibodies is highly variable ranging from lack of symptoms with normal glucose tolerance to catastrophic and potentially fatal diabetic ketoacidosis. It is the purpose of this article to establish the range of metabolic features associated with diabetes-associated autoimmune changes and discuss how this metabolic spectrum itself reflects a spectrum of immune and clinical changes that cast light on the nature of autoimmune diabetes.
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Affiliation(s)
- Huriya Beyan
- Institute of Cell and Molecular Science, Centre for Diabetes & Metabolic Medicine, Bart's and The London, Queen Mary's School of Medicine & Dentistry, 4 Newark Street, London, UK
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Beyan H, Goodier MR, Nawroly NS, Hawa MI, Bustin SA, Ogunkolade WB, Londei M, Yousaf N, Leslie RDG. Altered monocyte cyclooxygenase response to lipopolysaccharide in type 1 diabetes. Diabetes 2006; 55:3439-45. [PMID: 17130490 DOI: 10.2337/db06-0447] [Citation(s) in RCA: 24] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Type 1 diabetes is caused by adaptive immune responses, but innate immunity is important because monocytes infiltrate islets. Activated monocytes express cyclooxygenase (COX)-2, promoting prostaglandin-E(2) (PGE(2)) secretion, whereas COX-1 expression is constitutive. We aimed to define monocyte COX expression in type 1 diabetes basally and after lipopolysaccharide (LPS) stimulation. Isolated CD14(+) monocytes were analyzed for COX mRNA and protein expression from identical twins (discordant for type 1 diabetes) and control subjects. Basal monocyte COX mRNA, protein expression, and PGE(2) secretion were normal in type 1 diabetic subjects. After LPS, twins and control subjects showed a COX mRNA isoform switch with decreased COX-1 mRNA (P < 0.01), increased COX-2 mRNA (P < 0.01), and increased COX-2 protein expression (P < 0.01). Compared with control subjects, both diabetic and nondiabetic twins showed greater LPS-induced downregulation of monocyte COX-1 mRNA (P = 0.02), reduced upregulation of COX-2 mRNA and protein (P < 0.03), and greater inhibition by the COX-2 inhibitor di-isopropylfluorophosphate (DFP) of monocyte PGE(2) (P < 0.007). We demonstrate an alteration in monocyte COX mRNA expression as well as monocyte COX-2 and PGE(2) production after LPS in type 1 diabetic patients and their nondiabetic twins. Because COX-2 response to LPS is proinflammatory, an inherited reduced response would predispose to chronic inflammatory diseases such as type 1 diabetes.
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Affiliation(s)
- Huriya Beyan
- Department of Diabetes and Metabolic Medicine, Institute of Cell and Molecular Science, London E1 2AT, U.K
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18
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Alper CA, Husain Z, Larsen CE, Dubey DP, Stein R, Day C, Baker A, Beyan H, Hawa M, Ola TO, Leslie RD. Incomplete penetrance of susceptibility genes for MHC-determined immunoglobulin deficiencies in monozygotic twins discordant for type 1 diabetes. J Autoimmun 2006; 27:89-95. [PMID: 17029885 PMCID: PMC1810396 DOI: 10.1016/j.jaut.2006.07.007] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2006] [Revised: 07/21/2006] [Accepted: 07/23/2006] [Indexed: 01/31/2023]
Abstract
Incomplete intrinsic penetrance is the failure of some genetically susceptible individuals (e.g., monozygotic twins of those who have a trait) to exhibit that trait. For the first time, we examine penetrance of susceptibility genes for multiple MHC gene-determined traits in the same subjects. Serum levels of IgA, IgD, IgG3, but not IgG4, in 50 pairs of monozygotic twins discordant for type 1 diabetes (T1D) correlated more closely in the twins than in random paired controls. The frequencies of subjects deficient in IgA (6%), IgD (33%) and IgG4 (12%), but not in IgG3, were higher in the twins than in controls. We postulate that this was because the MHC haplotypes (and possible non-MHC genes) that predispose to T1D also carry susceptibility genes for certain immunoglobulin deficiencies. Immunoglobulin deficiencies were not associated with T1D. Pairwise concordance for the deficiencies in the twins was 50% for IgA, 57% for IgD and 50% for IgG4. There were no significant associations among the specific immunoglobulin deficiencies except that all IgA-deficient subjects had IgD deficiency. Thus, intrinsic penetrance is a random process independently affecting different MHC susceptibility genes. Because multiple different external triggers would be required to explain the results, differential environmental determinants appear unlikely.
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Affiliation(s)
- Chester A Alper
- The CBR Institute for Biomedical Research, Harvard Medical School, 800 Huntington Avenue, Boston, MA 02115, USA. . edu
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19
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Goodier MR, Nawroly N, Beyan H, Hawa M, Leslie RDG, Londei M. Identical twins discordant for type 1 diabetes show a different pattern of in vitro CD56+ cell activation. Diabetes Metab Res Rev 2006; 22:367-75. [PMID: 16572491 DOI: 10.1002/dmrr.627] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
BACKGROUND Recent studies in animal models indicate a role for natural killer (NK) cells in the protection against type 1 diabetes. In humans, a reduction of NK cell numbers has been reported in identical twins discordant for type 1 diabetes, irrespective of whether they have the disease. Here we have tested whether the activation and expansion of human NK cells with lipopolysaccharide (LPS) reveals differences between these twins. METHODS Proportions of CD56(+) NK cells and T-cells and Va24Vb11(+) NK-T cells from diabetic and non-diabetic twins was assessed before and after activation using flow cytometry. NK receptor usage was monitored by PCR and flow cytometry. RESULTS The profile of the expressed Killer Cell immunoglobulin-like receptor (KIR) repertoire (using mRNA) in freshly isolated NK cells was identical in pairs of identical twins, despite marked variation among individual twins as well as controls. Basal numbers of CD56(+) and CD94(+) (CD3(-) and CD3(+)) cells and Valpha24(+)Vbeta11(+) NK-T cells were similarly strongly correlated between identical twins (p < 0.006 for all correlations). Following LPS stimulation, the pattern of KIR mRNA expression remained unaltered in twins and the proportion of NK cells and Valpha24(+)Vbeta11(+) NK-T cells remained correlated between pairs of twins. However, there was a significant reduction in the proportion of CD56(+) cells and CD94(+) cells (whether defined as CD3(-) or CD3(+)) responding to LPS in the diabetic compared to the non-diabetic twin (p = 0.031 and 0.025, respectively). CONCLUSION This reduction in NK cell expansion in response to LPS in patients with type 1 diabetes is consistent with a non-genetically determined alteration in the innate immune response either predisposing to or resulting from the disease.
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Affiliation(s)
- Martin R Goodier
- Department of Immunology Imperial College London, Faculty of Medicine, Chelsea and Westminster Hospital, UK.
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20
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Cohen RM, Snieder H, Lindsell CJ, Beyan H, Hawa MI, Blinko S, Edwards R, Spector TD, Leslie RDG. Evidence for independent heritability of the glycation gap (glycosylation gap) fraction of HbA1c in nondiabetic twins. Diabetes Care 2006; 29:1739-43. [PMID: 16873773 DOI: 10.2337/dc06-0286] [Citation(s) in RCA: 107] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
OBJECTIVE HbA(1c) (A1C) is substantially determined by genetic factors not shared in common with glucose. Fractions of the variance in A1C, the glycation gap (GG; previously called the glycosylation gap) and the hemoglobin glycosylation index, correlate with diabetes complications. We therefore tested whether GG (measured A1C - A1C predicted from glycated serum proteins [GSPs]) was genetically determined and whether it accounted for the heritability of A1C. RESEARCH DESIGN AND METHODS We conducted a classic twin study on A1C and GSP collected in 40 and 46 pairs of monozygotic and dizygotic healthy female twins, respectively. The predicted A1C was based on the regression line between A1C and GSP in a separate population spanning the pathophysiologic range. RESULTS GG was more strongly correlated between monozygotic (r = 0.65) than dizygotic (r = 0.48) twins, adjusted for age and BMI. The best-fitting quantitative genetic model adjusted for age and BMI showed that 69% of population variance in GG is heritable, while the remaining 31% is due to unique environmental influences. In contrast, GSP was similarly correlated between monozygotic (r = 0.55) and dizygotic (r = 0.49) twins, hence not genetically determined. GG was strongly correlated to A1C (r = 0.48), attributable mostly to genetic factors. About one-third of the heritability of A1C is shared with GG; the remainder is specific to A1C. CONCLUSIONS Heritability of the GG accounts for about one-third of the heritability of A1C. By implication, there are gene(s) that preferentially affect erythrocyte lifespan or glucose and/or nonenzymatic glycation or deglycation in the intracellular, rather than extracellular, compartment.
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Affiliation(s)
- Robert M Cohen
- Division of Endocrinology, Medicine, General Clinical Research Center, Emergency Medicine, University of Cincinnati, Ohio, USA
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Hawa MI, Bonfanti R, Valeri C, Delli Castelli M, Beyan H, Leslie RDG. No evidence for genetically determined alteration in insulin secretion or sensitivity predisposing to type 1 diabetes: a study of identical twins. Diabetes Care 2005; 28:1415-8. [PMID: 15920061 DOI: 10.2337/diacare.28.6.1415] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To determine whether inherited changes in insulin secretion or sensitivity could predispose to type 1 diabetes, we studied identical twins of type 1 diabetic patients. RESEARCH DESIGN AND METHODS We studied prospectively a consecutive series of 27 identical twins of patients with type 1 diabetes who were initially nondiabetic, as well as 14 control subjects, over a period of 18 years. Of these 27 twins, 15 remain nondiabetic (now estimated at low disease risk) and 12 developed diabetes (pre-diabetic twins). Subjects were tested when not diabetic on at least two occasions with an intravenous glucose tolerance test (IVGTT), and we estimated insulin secretion as first-phase insulin response (FPIR), glucose clearance (K(g)), and insulin sensitivity both by homeostasis model assessment of insulin resistance (HOMA-IR) and relative to insulin response by the basal HOMA-IR-to-FPIR ratio. RESULTS Twins now at low risk and control subjects had similar fasting blood glucose and insulin levels, FPIR, K(g), HOMA-IR, and HOMA-IR-to-FPIR ratio. In contrast, pre-diabetic twins compared with control twins had higher fasting insulin levels (10.3 +/- 6.0 vs. 4.6 +/- 4.0 mIU/ml), lower FPIR (245 +/- 129 vs. 796 +/- 622 mIU . ml(-1) . 10 min(-1)), lower K(g) (1.5 +/- 0.6 vs. 2.6 +/- 0.8% per min), and higher HOMA-IR-to-FPIR ratio (0.007 +/- 0.005 vs. 0.001 +/- 0.0009) (all P < 0.01). CONCLUSIONS These observations in low-risk nondiabetic identical twins failed to identify a familial alteration in either insulin secretion or sensitivity predisposing to type 1 diabetes.
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Affiliation(s)
- Mohammed I Hawa
- St. Bartholomew's Hospital, West Smithfield, London EC1A 7BE, U.K
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22
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Abstract
Reducing sugars react with amino groups in proteins, lipids, and nucleic acids to produce advanced glycation end products (AGEs), including N(epsilon)-carboxymethyl lysine (CML), which have been implicated in oxidative stress and vascular damage. The aim of this study was to determine whether genetic factors influence serum CML levels in normal subjects. We performed a classical twin study of CML in healthy nondiabetic female twins, 39 monozygotic and 45 dizygotic pairs, aged 21-74 years. Serum CML levels were estimated by enzyme-linked immunosorbent assay. Twin correlations (r) for serum CML levels were higher in monozygotic (r = 0.71) compared with dizygotic (r = 0.50) twin pairs, suggesting a substantial genetic effect and confirmed by quantitative genetic model fitting. Additive genetic effects (heritability) explained 74% (95% CI 58-84) of population variance in CML. Heritability (%) of fasting glucose (51%) and HbA(1c) (62%) could not explain CML heritability, which was not associated with them. CML levels are, therefore, predominantly genetically determined and independent of genes influencing fasting glucose or HbA(1c). Thus familial, largely genetic factors influence AGE implicating these glycoxidation products in the genetic contribution to macro- and microvascular disease.
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Affiliation(s)
- R David G Leslie
- Department of Diabetes and Metabolism, St. Bartholomew's Hospital, London, UK.
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Abstract
Two arms of the immune system, innate and adaptive immunity, differ in their mode of immune recognition. The innate immune system recognizes a few highly conserved structures on a broad range of microorganisms. On the other hand, recognition of self or autoreactivity is generally confined to the adaptive immune response. Whilst autoimmune features are relatively common, they should be distinguished from autoimmune disease that is infrequent. Type 1 diabetes is an immune-mediated disease due to the destruction of insulin secreting cells mediated by aggressive immune responses, including activation of the adaptive immune system following genetic and environmental interaction. Hypotheses for the cause of the immune dysfunction leading to type 1 diabetes include self-reactive T-cell clones that (1) escape deletion in the thymus, (2) escape from peripheral tolerance or (3) escape from homeostatic control with an alteration in the immune balance leading to autoimmunity. Evidence, outlined in this review, raises the possibility that changes in the innate immune system could lead to autoimmunity, by either priming or promoting aggressive adaptive immune responses. Hostile microorganisms are identified by genetically determined surface receptors on innate effector cells, thereby promoting clearance of these invaders. These innate effectors include a few relatively inflexible cell populations such as monocytes/macrophages, dendritic cells (DC), natural killer (NK) cells, natural killer T (NKT) cells and gammadelta T cells. Recent studies have identified abnormalities in some of these cells both in patients with type 1 diabetes and in those at risk of the disease. However, it remains unclear whether these abnormalities in innate effector cells predispose to autoimmune disease. If they were to do so, then modulation of the innate immune system could be of therapeutic value in preventing immune-mediated diseases such as type 1 diabetes.
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Affiliation(s)
- H Beyan
- St Bartholomews Hospital, West Smithfield, London, UK
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25
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Abstract
Type 1 insulin-dependent diabetes is due to destruction of the insulin secreting cells of the islets of Langerhans. The disease is caused by non-genetic, probably environmental, factors operating in a genetically susceptible host to initiate a destructive immune process. These unknown environmental factors may operate over a limited period either in early or later and to a variable degree, playing a particularly substantial role in adults. The environment then induces an immune process associated with destruction of the islet beta cell that can be detected in early life and persists up to disease onset. Apart from an association with the insulin gene there is no evidence that genes associated with type 1 diabetes, including HLA and CTLA4 influence the targeting of the immune response to the insulin-secreting cells. The critical period of immune activation is probably short and the process leading to diabetes probably has a long prodrome but of variable duration that determines the age at presentation with clinical disease. The amplification both of this immune response and the destructive process is in part genetically determined, involving HLA genes. The clinical spectrum of the disease process associated with type 1 diabetes is wide, encompassing insulin-dependence, non-insulin dependence and even transient impaired glucose tolerance. Type 1 diabetes presenting in adults, in contrast to children, is predominantly determined by non-genetic factors with a reduced role for protective and susceptibility HLA alleles. Thus, the evidence is that genes involved in genetic susceptibility to type 1 diabetes operate predominantly in children not adults and in both amplify the immune response and the rate of disease progression.
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