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Scudder C, Townson J, Bowen-Morris J, Gillespie K, Evans P, Jones S, Thomas NPB, Stanford J, Fox R, Todd JA, Greenfield S, Dayan CM, Besser REJ. General population screening for type 1 diabetes using islet autoantibodies at the preschool vaccination visit: a proof-of-concept study (the T1Early study). Arch Dis Child 2024; 109:812-817. [PMID: 38925883 DOI: 10.1136/archdischild-2023-326697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 06/08/2024] [Indexed: 06/28/2024]
Abstract
OBJECTIVE Type 1 diabetes (T1D) screening programmes testing islet autoantibodies (IAbs) in childhood can reduce life-threatening diabetic ketoacidosis. General population screening is required to detect the majority of children with T1D, since in >85% there is no family history. Age 3-5 years has been proposed as an optimal age for a single screen approach. DESIGN Capillary samples were collected from children attending their preschool vaccination and analysed for IAbs to insulin, glutamic acid decarboxylase, islet antigen-2 and zinc transporter 8 using radiobinding/luciferase immunoprecipitation system assays. Acceptability was assessed using semistructured interviews and open-ended postcard questionnaires with parents. SETTING Two primary care practices in Oxfordshire, UK. MAIN OUTCOME MEASURES The ability to collect capillary blood to test IAbs in children at the routine preschool vaccination (3.5-4 years). RESULTS Of 134 parents invited, 66 (49%) were recruited (median age 3.5 years (IQR 3.4-3.6), 26 (39.4%) male); 63 provided a sample (97% successfully), and one participant was identified with a single positive IAb. Parents (n=15 interviews, n=29 postcards) were uniformly positive about screening aligned to vaccination and stated they would have been less likely to take part had screening been a separate visit. Themes identified included preparedness for T1D and the long-term benefit outweighing short-term upset. The perceived volume of the capillary sample was a potential concern and needs optimising. CONCLUSIONS Capillary IAb testing is a possible method to screen children for T1D. Aligning collection to the preschool vaccination visit can be convenient for families without the need for an additional visit.
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Affiliation(s)
- Claire Scudder
- JDRF/Wellcome Diabetes and Inflammation Laboratory, Centre for Human Genetics, Nuffield Department of Medicine, Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Julia Townson
- Centre for Trials Research, School of Medicine, Cardiff University, Cardiff, UK
| | - Jane Bowen-Morris
- Cardiff University School of Medicine, Cardiff University, Cardiff, UK
| | - Kathleen Gillespie
- Diabetes and Metabolism, Bristol Medical School, University of Bristol, Bristol, UK
| | - Philip Evans
- Exeter Collaboration for Academic Primary Care (APEx), University of Exeter, Exeter, UK
| | | | | | | | - Robin Fox
- Bicester Health Centre, Bicester, UK
| | - John A Todd
- JDRF/Wellcome Diabetes and Inflammation Laboratory, Centre for Human Genetics, Nuffield Department of Medicine, Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Sheila Greenfield
- Institute of Applied Health Research, College of Medical and Dental Sciences, Murray Learning Centre, University of Birmingham, Birmingham, UK
| | - Colin M Dayan
- JDRF/Wellcome Diabetes and Inflammation Laboratory, Centre for Human Genetics, Nuffield Department of Medicine, Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
- Centre for Trials Research, School of Medicine, Cardiff University, Cardiff, UK
| | - Rachel E J Besser
- JDRF/Wellcome Diabetes and Inflammation Laboratory, Centre for Human Genetics, Nuffield Department of Medicine, Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
- Department of Paediatrics, University of Oxford, Oxford, UK
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2
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Ghalwash M, Anand V, Ng K, Dunne JL, Lou O, Lundgren M, Hagopian WA, Rewers M, Ziegler AG, Veijola R. Data-Driven Phenotyping of Presymptomatic Type 1 Diabetes Using Longitudinal Autoantibody Profiles. Diabetes Care 2024; 47:1424-1431. [PMID: 38861550 PMCID: PMC11272969 DOI: 10.2337/dc24-0198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Accepted: 05/16/2024] [Indexed: 06/13/2024]
Abstract
OBJECTIVE To characterize distinct islet autoantibody profiles preceding stage 3 type 1 diabetes. RESEARCH DESIGN AND METHODS The T1DI (Type 1 Diabetes Intelligence) study combined data from 1,845 genetically susceptible prospectively observed children who were positive for at least one islet autoantibody: insulin autoantibody (IAA), GAD antibody (GADA), or islet antigen 2 antibody (IA-2A). Using a novel similarity algorithm that considers an individual's temporal autoantibody profile, age at autoantibody appearance, and variation in the positivity of autoantibody types, we performed an unsupervised hierarchical clustering analysis. Progression rates to diabetes were analyzed via survival analysis. RESULTS We identified five main clusters of individuals with distinct autoantibody profiles characterized by seroconversion age and sequence of appearance of the three autoantibodies. The highest 5-year risk from first positive autoantibody to type 1 diabetes (69.9%; 95% CI 60.0-79.2) was observed in children who first developed IAA in early life (median age 1.6 years) followed by GADA (1.9 years) and then IA-2A (2.1 years). Their 10-year risk was 89.9% (95% CI 81.9-95.4). A high 5-year risk was also found in children with persistent IAA and GADA (39.1%) and children with persistent GADA and IA-2A (30.9%). A lower 5-year risk (10.5%) was observed in children with a late appearance of persistent GADA (6.1 years). The lowest 5-year diabetes risk (1.6%) was associated with positivity for a single, often reverting, autoantibody. CONCLUSIONS The novel clustering algorithm identified children with distinct islet autoantibody profiles and progression rates to diabetes. These results are useful for prediction, selection of individuals for prevention trials, and studies investigating various pathways to type 1 diabetes.
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Affiliation(s)
- Mohamed Ghalwash
- T.J. Watson Research Center, IBM, Yorktown Heights, NY
- Faculty of Science, Ain Shams University, Cairo, Egypt
| | - Vibha Anand
- T.J. Watson Research Center, IBM, Cambridge, MA
| | - Kenney Ng
- T.J. Watson Research Center, IBM, Yorktown Heights, NY
| | | | | | - Markus Lundgren
- Department of Clinical Sciences, Lund University/Clinical Research Centre, Skåne University Hospital, Malmö, Sweden
| | | | - Marian Rewers
- Department of Pediatrics, Barbara Davis Center for Diabetes, Denver, CO
| | - Anette-G. Ziegler
- Institute of Diabetes Research, German Research Center for Environmental Health, Helmholtz Zentrum München, Munich-Neuherberg, Germany
| | - Riitta Veijola
- Research Unit of Clinical Medicine, Medical Research Center, Department of Pediatrics, University of Oulu and Oulu University Hospital, Oulu, Finland
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3
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Warncke K, Tamura R, Schatz DA, Veijola R, Steck AK, Akolkar B, Hagopian W, Krischer JP, Lernmark Å, Rewers MJ, Toppari J, McIndoe R, Ziegler AG, Vehik K, Haller MJ, Elding Larsson H. The Influence of Pubertal Development on Autoantibody Appearance and Progression to Type 1 Diabetes in the TEDDY Study. J Endocr Soc 2024; 8:bvae103. [PMID: 38867880 PMCID: PMC11167566 DOI: 10.1210/jendso/bvae103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2024] [Indexed: 06/14/2024] Open
Abstract
Context The 2 peaks of type 1 diabetes incidence occur during early childhood and puberty. Objective We sought to better understand the relationship between puberty, islet autoimmunity, and type 1 diabetes. Methods The relationships between puberty, islet autoimmunity, and progression to type 1 diabetes were investigated prospectively in children followed in The Environmental Determinants of Diabetes in the Young (TEDDY) study. Onset of puberty was determined by subject self-assessment of Tanner stages. Associations between speed of pubertal progression, pubertal growth, weight gain, homeostasis model assessment of insulin resistance (HOMA-IR), islet autoimmunity, and progression to type 1 diabetes were assessed. The influence of individual factors was analyzed using Cox proportional hazard ratios. Results Out of 5677 children who were still in the study at age 8 years, 95% reported at least 1 Tanner Stage score and were included in the study. Children at puberty (Tanner Stage ≥2) had a lower risk (HR 0.65, 95% CI 0.45-0.93; P = .019) for incident autoimmunity than prepubertal children (Tanner Stage 1). An increase of body mass index Z-score was associated with a higher risk (HR 2.88, 95% CI 1.61-5.15; P < .001) of incident insulin autoantibodies. In children with multiple autoantibodies, neither HOMA-IR nor rate of progression to Tanner Stage 4 were associated with progression to type 1 diabetes. Conclusion Rapid weight gain during puberty is associated with development of islet autoimmunity. Puberty itself had no significant influence on the appearance of autoantibodies or type 1 diabetes. Further studies are needed to better understand the underlying mechanisms.
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Affiliation(s)
- Katharina Warncke
- TUM School of Medicine, Department of Pediatrics, Technical University of Munich, 81675 Munich, Germany
- German Center for Environmental Health, Institute of Diabetes Research, Helmholtz Munich, 80939 Munich, Germany
| | - Roy Tamura
- Health Informatics Institute, University of South Florida, Tampa, FL 33612, USA
| | - Desmond A Schatz
- Diabetes Center of Excellence, University of Florida, Gainesville, FL 32610, USA
| | - Riitta Veijola
- Department of Pediatrics, Research Unit of Clinical Medicine, Medical Research Center Oulu, University of Oulu and Oulu University Hospital, 90014 Oulu, Finland
| | - Andrea K Steck
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Beena Akolkar
- National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD 20892, USA
| | - William Hagopian
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN 46202, USA
| | - Jeffrey P Krischer
- Health Informatics Institute, University of South Florida, Tampa, FL 33612, USA
| | - Åke Lernmark
- Department of Clinical Sciences, Lund University/Clinical Research Centre, Skane University Hospital, 21428 Malmö, Sweden
| | - Marian J Rewers
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Jorma Toppari
- Department of Pediatrics, University of Turku and Turku University Hospital, 20520 Turku, Finland
- Institute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, and Centre for Population Health Research, University of Turku, 20520 Turku, Finland
| | - Richard McIndoe
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA 30912, USA
| | - Anette-G Ziegler
- German Center for Environmental Health, Institute of Diabetes Research, Helmholtz Munich, 80939 Munich, Germany
- German Center for Diabetes Research (DZD), 85764 Munich-Neuherberg, Germany
- Forschergruppe Diabetes, School of Medicine, Klinikum rechts der Isar, Technical University Munich, 81675 Munich, Germany
- Forschergruppe Diabetes e.V. at Helmholtz Munich, German Research Center for Environmental Health, 80939 Munich, Germany
| | - Kendra Vehik
- Health Informatics Institute, University of South Florida, Tampa, FL 33612, USA
| | - Michael J Haller
- Department of Pediatrics, Diabetes Institute, College of Medicine, University of Florida, Gainesville, FL 32610, USA
| | - Helena Elding Larsson
- Unit for Pediatric Endocrinology, Department of Clinical Sciences Malmö, Lund University, 20502 Malmö, Sweden
- Department of Paediatrics, Skåne University Hospital, 20502 Malmö, Sweden
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4
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Felton JL, Redondo MJ, Oram RA, Speake C, Long SA, Onengut-Gumuscu S, Rich SS, Monaco GSF, Harris-Kawano A, Perez D, Saeed Z, Hoag B, Jain R, Evans-Molina C, DiMeglio LA, Ismail HM, Dabelea D, Johnson RK, Urazbayeva M, Wentworth JM, Griffin KJ, Sims EK. Islet autoantibodies as precision diagnostic tools to characterize heterogeneity in type 1 diabetes: a systematic review. COMMUNICATIONS MEDICINE 2024; 4:66. [PMID: 38582818 PMCID: PMC10998887 DOI: 10.1038/s43856-024-00478-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 03/05/2024] [Indexed: 04/08/2024] Open
Abstract
BACKGROUND Islet autoantibodies form the foundation for type 1 diabetes (T1D) diagnosis and staging, but heterogeneity exists in T1D development and presentation. We hypothesized that autoantibodies can identify heterogeneity before, at, and after T1D diagnosis, and in response to disease-modifying therapies. METHODS We systematically reviewed PubMed and EMBASE databases (6/14/2022) assessing 10 years of original research examining relationships between autoantibodies and heterogeneity before, at, after diagnosis, and in response to disease-modifying therapies in individuals at-risk or within 1 year of T1D diagnosis. A critical appraisal checklist tool for cohort studies was modified and used for risk of bias assessment. RESULTS Here we show that 152 studies that met extraction criteria most commonly characterized heterogeneity before diagnosis (91/152). Autoantibody type/target was most frequently examined, followed by autoantibody number. Recurring themes included correlations of autoantibody number, type, and titers with progression, differing phenotypes based on order of autoantibody seroconversion, and interactions with age and genetics. Only 44% specifically described autoantibody assay standardization program participation. CONCLUSIONS Current evidence most strongly supports the application of autoantibody features to more precisely define T1D before diagnosis. Our findings support continued use of pre-clinical staging paradigms based on autoantibody number and suggest that additional autoantibody features, particularly in relation to age and genetic risk, could offer more precise stratification. To improve reproducibility and applicability of autoantibody-based precision medicine in T1D, we propose a methods checklist for islet autoantibody-based manuscripts which includes use of precision medicine MeSH terms and participation in autoantibody standardization workshops.
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Affiliation(s)
- Jamie L Felton
- Department of Pediatrics, Center for Diabetes and Metabolic Diseases, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Maria J Redondo
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Division of Pediatric Diabetes and Endocrinology, Texas Children's Hospital, Houston, TX, USA
| | - Richard A Oram
- NIHR Exeter Biomedical Research Centre (BRC), Academic Kidney Unit, University of Exeter, Exeter, UK
- Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Cate Speake
- Center for Interventional Immunology, Benaroya Research Institute, Seattle, WA, USA
| | - S Alice Long
- Center for Translational Immunology, Benaroya Research Institute, Seattle, WA, USA
| | - Suna Onengut-Gumuscu
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Gabriela S F Monaco
- Department of Pediatrics, Center for Diabetes and Metabolic Diseases, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Arianna Harris-Kawano
- Department of Pediatrics, Center for Diabetes and Metabolic Diseases, Indianapolis, IN, USA
| | - Dianna Perez
- Department of Pediatrics, Center for Diabetes and Metabolic Diseases, Indianapolis, IN, USA
| | - Zeb Saeed
- Department of Endocrinology, Diabetes and Metabolism, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Benjamin Hoag
- Department of Pediatrics, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA
| | - Rashmi Jain
- Department of Pediatrics, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA
| | - Carmella Evans-Molina
- Department of Pediatrics, Center for Diabetes and Metabolic Diseases, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Endocrinology, Diabetes and Metabolism, Indiana University School of Medicine, Indianapolis, IN, USA
- Richard L. Roudebush VAMC, Indianapolis, IN, USA
| | - Linda A DiMeglio
- Department of Pediatrics, Center for Diabetes and Metabolic Diseases, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Heba M Ismail
- Department of Pediatrics, Center for Diabetes and Metabolic Diseases, Indianapolis, IN, USA
- Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Dana Dabelea
- Lifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO, USA
| | - Randi K Johnson
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | | | - John M Wentworth
- Royal Melbourne Hospital Department of Diabetes and Endocrinology, Parkville, VIC, Australia
- Walter and Eliza Hall Institute, Parkville, VIC, Australia
- University of Melbourne Department of Medicine, Parkville, VIC, Australia
| | - Kurt J Griffin
- Department of Pediatrics, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA
- Sanford Research, Sioux Falls, SD, USA
| | - Emily K Sims
- Department of Pediatrics, Center for Diabetes and Metabolic Diseases, Indianapolis, IN, USA.
- Herman B Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN, USA.
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5
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Vecchio F, Carré A, Korenkov D, Zhou Z, Apaolaza P, Tuomela S, Burgos-Morales O, Snowhite I, Perez-Hernandez J, Brandao B, Afonso G, Halliez C, Kaddis J, Kent SC, Nakayama M, Richardson SJ, Vinh J, Verdier Y, Laiho J, Scharfmann R, Solimena M, Marinicova Z, Bismuth E, Lucidarme N, Sanchez J, Bustamante C, Gomez P, Buus S, You S, Pugliese A, Hyoty H, Rodriguez-Calvo T, Flodstrom-Tullberg M, Mallone R. Coxsackievirus infection induces direct pancreatic β cell killing but poor antiviral CD8 + T cell responses. SCIENCE ADVANCES 2024; 10:eadl1122. [PMID: 38446892 PMCID: PMC10917340 DOI: 10.1126/sciadv.adl1122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 01/30/2024] [Indexed: 03/08/2024]
Abstract
Coxsackievirus B (CVB) infection of pancreatic β cells is associated with β cell autoimmunity and type 1 diabetes. We investigated how CVB affects human β cells and anti-CVB T cell responses. β cells were efficiently infected by CVB in vitro, down-regulated human leukocyte antigen (HLA) class I, and presented few, selected HLA-bound viral peptides. Circulating CD8+ T cells from CVB-seropositive individuals recognized a fraction of these peptides; only another subfraction was targeted by effector/memory T cells that expressed exhaustion marker PD-1. T cells recognizing a CVB epitope cross-reacted with β cell antigen GAD. Infected β cells, which formed filopodia to propagate infection, were more efficiently killed by CVB than by CVB-reactive T cells. Our in vitro and ex vivo data highlight limited CD8+ T cell responses to CVB, supporting the rationale for CVB vaccination trials for type 1 diabetes prevention. CD8+ T cells recognizing structural and nonstructural CVB epitopes provide biomarkers to differentially follow response to infection and vaccination.
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Affiliation(s)
- Federica Vecchio
- Université Paris Cité, Institut Cochin, CNRS, INSERM, Paris, France
| | - Alexia Carré
- Université Paris Cité, Institut Cochin, CNRS, INSERM, Paris, France
| | - Daniil Korenkov
- Université Paris Cité, Institut Cochin, CNRS, INSERM, Paris, France
| | - Zhicheng Zhou
- Université Paris Cité, Institut Cochin, CNRS, INSERM, Paris, France
| | - Paola Apaolaza
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Soile Tuomela
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | | | - Isaac Snowhite
- Diabetes Research Institute, Leonard Miller School of Medicine, University of Miami, Miami, FL, USA
- Department of Diabetes Immunology, Arthur Riggs Diabetes and Metabolism Research Institute, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | | | - Barbara Brandao
- Université Paris Cité, Institut Cochin, CNRS, INSERM, Paris, France
| | - Georgia Afonso
- Université Paris Cité, Institut Cochin, CNRS, INSERM, Paris, France
| | - Clémentine Halliez
- Université Paris Cité, Institut Cochin, CNRS, INSERM, Paris, France
- Assistance Publique Hôpitaux de Paris, Service de Diabétologie et Immunologie Clinique, Cochin Hospital, Paris, France
| | - John Kaddis
- Department of Diabetes Immunology, Arthur Riggs Diabetes and Metabolism Research Institute, Beckman Research Institute, City of Hope, Duarte, CA, USA
- Department of Diabetes and Cancer Discovery Science, Arthur Riggs Diabetes and Metabolism Research Institute, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Sally C. Kent
- Diabetes Center of Excellence, Department of Medicine, University of Massachusetts Medical Chan School, Worcester, MA, USA
| | - Maki Nakayama
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Sarah J. Richardson
- Islet Biology Exeter (IBEx), Exeter Centre of Excellence for Diabetes Research (EXCEED), Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Joelle Vinh
- ESPCI Paris, PSL University, Spectrométrie de Masse Biologique et Protéomique, CNRS UMR8249, Paris, France
| | - Yann Verdier
- ESPCI Paris, PSL University, Spectrométrie de Masse Biologique et Protéomique, CNRS UMR8249, Paris, France
| | - Jutta Laiho
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | | | - Michele Solimena
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
- Paul Langerhans Institute Dresden (PLID), Helmholtz Munich, University Hospital and Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Zuzana Marinicova
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
- Paul Langerhans Institute Dresden (PLID), Helmholtz Munich, University Hospital and Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Elise Bismuth
- Assistance Publique Hôpitaux de Paris, Service d’Endocrinologie Pédiatrique, Robert Debré Hospital, Paris, France
| | - Nadine Lucidarme
- Assistance Publique Hôpitaux de Paris, Service de Pédiatrie, Jean Verdier Hospital, Bondy, France
| | - Janine Sanchez
- Department of Pediatrics, Division of Pediatric Endocrinology, Leonard Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Carmen Bustamante
- Department of Pediatrics, Division of Pediatric Endocrinology, Leonard Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Patricia Gomez
- Department of Pediatrics, Division of Pediatric Endocrinology, Leonard Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Soren Buus
- Department of Immunology and Microbiology, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
| | - the nPOD-Virus Working Group
- Université Paris Cité, Institut Cochin, CNRS, INSERM, Paris, France
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital Huddinge, Stockholm, Sweden
- Diabetes Research Institute, Leonard Miller School of Medicine, University of Miami, Miami, FL, USA
- Department of Diabetes Immunology, Arthur Riggs Diabetes and Metabolism Research Institute, Beckman Research Institute, City of Hope, Duarte, CA, USA
- Assistance Publique Hôpitaux de Paris, Service de Diabétologie et Immunologie Clinique, Cochin Hospital, Paris, France
- Department of Diabetes and Cancer Discovery Science, Arthur Riggs Diabetes and Metabolism Research Institute, Beckman Research Institute, City of Hope, Duarte, CA, USA
- Diabetes Center of Excellence, Department of Medicine, University of Massachusetts Medical Chan School, Worcester, MA, USA
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
- Islet Biology Exeter (IBEx), Exeter Centre of Excellence for Diabetes Research (EXCEED), Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
- ESPCI Paris, PSL University, Spectrométrie de Masse Biologique et Protéomique, CNRS UMR8249, Paris, France
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Paul Langerhans Institute Dresden (PLID), Helmholtz Munich, University Hospital and Faculty of Medicine, TU Dresden, Dresden, Germany
- Assistance Publique Hôpitaux de Paris, Service d’Endocrinologie Pédiatrique, Robert Debré Hospital, Paris, France
- Assistance Publique Hôpitaux de Paris, Service de Pédiatrie, Jean Verdier Hospital, Bondy, France
- Department of Pediatrics, Division of Pediatric Endocrinology, Leonard Miller School of Medicine, University of Miami, Miami, FL, USA
- Department of Immunology and Microbiology, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark
- Indiana Biosciences Research Institute, Indianapolis, IN, USA
- Fimlab Laboratories, Tampere, Finland
- Department of Pediatrics, Tampere University Hospital, Tampere, Finland
| | - Sylvaine You
- Université Paris Cité, Institut Cochin, CNRS, INSERM, Paris, France
- Indiana Biosciences Research Institute, Indianapolis, IN, USA
| | - Alberto Pugliese
- Diabetes Research Institute, Leonard Miller School of Medicine, University of Miami, Miami, FL, USA
- Department of Diabetes Immunology, Arthur Riggs Diabetes and Metabolism Research Institute, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Heikki Hyoty
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Fimlab Laboratories, Tampere, Finland
- Department of Pediatrics, Tampere University Hospital, Tampere, Finland
| | - Teresa Rodriguez-Calvo
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- German Center for Diabetes Research (DZD e.V.), Neuherberg, Germany
| | - Malin Flodstrom-Tullberg
- Center for Infectious Medicine, Department of Medicine Huddinge, Karolinska Institutet, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Roberto Mallone
- Université Paris Cité, Institut Cochin, CNRS, INSERM, Paris, France
- Assistance Publique Hôpitaux de Paris, Service de Diabétologie et Immunologie Clinique, Cochin Hospital, Paris, France
- Indiana Biosciences Research Institute, Indianapolis, IN, USA
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6
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Nassar M, Chaudhuri A, Ghanim H, Dandona P. Glucagon-like peptide-1 receptor agonists as a possible intervention to delay the onset of type 1 diabetes: A new horizon. World J Diabetes 2024; 15:133-136. [PMID: 38464377 PMCID: PMC10921167 DOI: 10.4239/wjd.v15.i2.133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 12/17/2023] [Accepted: 01/16/2024] [Indexed: 02/04/2024] Open
Abstract
Type 1 diabetes (T1D) is a chronic autoimmune condition that destroys insulin-producing beta cells in the pancreas, leading to insulin deficiency and hyper-glycemia. The management of T1D primarily focuses on exogenous insulin replacement to control blood glucose levels. However, this approach does not address the underlying autoimmune process or prevent the progressive loss of beta cells. Recent research has explored the potential of glucagon-like peptide-1 receptor agonists (GLP-1RAs) as a novel intervention to modify the disease course and delay the onset of T1D. GLP-1RAs are medications initially developed for treating type 2 diabetes. They exert their effects by enhancing glucose-dependent insulin secretion, suppressing glucagon secretion, and slowing gastric emptying. Emerging evidence suggests that GLP-1RAs may also benefit the treatment of newly diagnosed patients with T1D. This article aims to highlight the potential of GLP-1RAs as an intervention to delay the onset of T1D, possibly through their potential immunomodulatory and anti-inflammatory effects and preservation of beta-cells. This article aims to explore the potential of shifting the paradigm of T1D management from reactive insulin replacement to proactive disease modification, which should open new avenues for preventing and treating T1D, improving the quality of life and long-term outcomes for individuals at risk of T1D.
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Affiliation(s)
- Mahmoud Nassar
- Department of Internal Medicine, Division of Endocrinology, Diabetes and Metabolism, Jacobs School of Medicine and Biomedical Sciences, University of Buffalo, Buffalo, NY 14221, United States
| | - Ajay Chaudhuri
- Department of Internal Medicine, Division of Endocrinology, Diabetes and Metabolism, Jacobs School of Medicine and Biomedical Sciences, University of Buffalo, Buffalo, NY 14221, United States
| | - Husam Ghanim
- Department of Internal Medicine, Division of Endocrinology, Diabetes and Metabolism, Jacobs School of Medicine and Biomedical Sciences, University of Buffalo, Buffalo, NY 14221, United States
| | - Paresh Dandona
- Department of Internal Medicine, Division of Endocrinology, Diabetes and Metabolism, Jacobs School of Medicine and Biomedical Sciences, University of Buffalo, Buffalo, NY 14221, United States
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7
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ElSayed NA, Aleppo G, Bannuru RR, Bruemmer D, Collins BS, Ekhlaspour L, Gaglia JL, Hilliard ME, Johnson EL, Khunti K, Lingvay I, Matfin G, McCoy RG, Perry ML, Pilla SJ, Polsky S, Prahalad P, Pratley RE, Segal AR, Seley JJ, Selvin E, Stanton RC, Gabbay RA. 2. Diagnosis and Classification of Diabetes: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S20-S42. [PMID: 38078589 PMCID: PMC10725812 DOI: 10.2337/dc24-s002] [Citation(s) in RCA: 131] [Impact Index Per Article: 131.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2023]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, an interprofessional expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Simmons KM, Sims EK. Screening and Prevention of Type 1 Diabetes: Where Are We? J Clin Endocrinol Metab 2023; 108:3067-3079. [PMID: 37290044 DOI: 10.1210/clinem/dgad328] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 05/10/2023] [Accepted: 05/31/2023] [Indexed: 06/10/2023]
Abstract
A diagnosis of type 1 diabetes (T1D) and the subsequent requirement for exogenous insulin treatment is associated with considerable acute and chronic morbidity and a substantial effect on patient quality of life. Importantly, a large body of work suggests that early identification of presymptomatic T1D can accurately predict clinical disease, and when paired with education and monitoring, can yield improved health outcomes. Furthermore, a growing cadre of effective disease-modifying therapies provides the potential to alter the natural history of early stages of T1D. In this mini review, we highlight prior work that has led to the current landscape of T1D screening and prevention, as well as challenges and next steps moving into the future of these rapidly evolving areas of patient care.
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Affiliation(s)
- Kimber M Simmons
- Barbara Davis Center for Diabetes, Division of Pediatrics, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Emily K Sims
- Division of Pediatric Endocrinology and Diabetology, Herman B Wells Center for Pediatric Research; Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN 46202, USA
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9
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Lemos JRN, Poggioli R, Ambut J, Bozkurt NC, Alvarez AM, Padilla N, Vendrame F, Ricordi C, Baidal DA, Alejandro R. Impact of GAD65 and IA2 autoantibodies on islet allograft survival. FRONTIERS IN CLINICAL DIABETES AND HEALTHCARE 2023; 4:1269758. [PMID: 38028981 PMCID: PMC10679328 DOI: 10.3389/fcdhc.2023.1269758] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Accepted: 10/02/2023] [Indexed: 12/01/2023]
Abstract
Introduction Islet transplantation (ITx) shows promise in treating T1D, but the role of islet autoantibodies on graft survival has not been clearly elucidated. We aimed to analyze the effect of GAD65 and IA2 autoantibody status on graft survival and attainment of insulin independence in subjects with T1D who underwent ITx. Method We conducted a retrospective cohort study on 47 ITx recipients from 2000 to 2018. Islet infusion was performed via intrahepatic portal (n=44) or onto the omentum via laparoscopic approach (n=3). Immunosuppression involved anti-IL2 receptor antibody, anti-TNF, and dual combinations of sirolimus, tacrolimus, or mycophenolate mofetil (Edmonton-like) in 38 subjects (80.9%). T-cell depletion induction with Edmonton-like maintenance was used in 9 subjects (19%). GAD65 and IA2 autoantibodies were assessed pre-transplant and post-transplant (monthly) until graft failure, and categorized as persistently negative, persistently positive, or seroconverters. Graft survival was analyzed using U-Mann-Whitney test, and Quade's nonparametric ANCOVA adjusted for confounders. Kaplan-Meier and Log-Rank tests were employed to analyze attainment of insulin independence. P value <0.05 indicated statistical significance. Results ITx recipients with persistent autoantibody negativity (n = 21) showed longer graft function (98 [61 - 182] months) than those with persistent autoantibody positivity (n = 18; 38 [13 - 163] months), even after adjusting for immunosuppressive induction protocol (P = 0.027). Seroconverters (n=8) had a median graft survival time of 73 (7.7 - 167) months, which did not significantly differ from the other 2 groups. Subjects with persistently single antibody positivity to GAD65 (n = 8) had shorter graft survival compared to negative islet autoantibody (GAD65/IA2) subjects (n = 21; P = 0.016). Time of graft survival did not differ in subjects with single antibody positivity to IA2. The proportion of insulin independence attainment was similar irrespective of autoantibody status. Conclusion The persistence of islet autoantibodies, as markers of islet autoimmunity, may represent an underappreciated contributing factor to the failure of transplanted β cells. Whether induction with T-cell depletion may lead to improved graft survival, independent of islet autoantibody status, could not be evaluated in our cohort. Larger prospective studies are needed to further address the role of islet autoantibody status on islet graft survival.
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Affiliation(s)
- Joana R. N. Lemos
- Diabetes Research Institute (DRI) and Clinical Cell Transplant Program, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Raffaella Poggioli
- Diabetes Research Institute (DRI) and Clinical Cell Transplant Program, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Jonathan Ambut
- Diabetes Research Institute (DRI) and Clinical Cell Transplant Program, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Nujen C. Bozkurt
- Diabetes Research Institute (DRI) and Clinical Cell Transplant Program, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Ana M. Alvarez
- Diabetes Research Institute (DRI) and Clinical Cell Transplant Program, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Nathalia Padilla
- Diabetes Research Institute (DRI) and Clinical Cell Transplant Program, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Francesco Vendrame
- Diabetes Research Institute (DRI) and Clinical Cell Transplant Program, University of Miami Miller School of Medicine, Miami, FL, United States
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Camillo Ricordi
- Diabetes Research Institute (DRI) and Clinical Cell Transplant Program, University of Miami Miller School of Medicine, Miami, FL, United States
- Division of Cellular Transplantation, Department of Surgery, University of Miami Miller School of Medicine, Miami, FL, United States
| | - David A. Baidal
- Diabetes Research Institute (DRI) and Clinical Cell Transplant Program, University of Miami Miller School of Medicine, Miami, FL, United States
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, United States
| | - Rodolfo Alejandro
- Diabetes Research Institute (DRI) and Clinical Cell Transplant Program, University of Miami Miller School of Medicine, Miami, FL, United States
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, United States
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Nygård L, Valta M, Laine AP, Toppari J, Knip M, Veijola R, Hyöty H, Ilonen J, Lempainen J. CXADR polymorphism rs6517774 modifies islet autoimmunity characteristics and exhibits sex disparity. Front Genet 2023; 14:1248701. [PMID: 38028613 PMCID: PMC10651746 DOI: 10.3389/fgene.2023.1248701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Accepted: 10/18/2023] [Indexed: 12/01/2023] Open
Abstract
Enteroviral infections have been linked to the development of islet autoimmunity (IA) and type 1 diabetes (T1D), and the coxsackie and adenovirus receptor (CXADR) is one of the ligands used by adenoviruses and enteroviruses for cell internalization. Two CXADR single nucleotide polymorphisms (SNPs), rs6517774 and rs2824404, were previously associated with an increased susceptibility to IA in the international TEDDY study (The Environmental Determinants of Diabetes in the Young). This study aimed to replicate the results by genotyping 2886 children enrolled in the Finnish Diabetes Prediction and Prevention study (DIPP). In our preliminary analysis of the SNPs' allelic distributions, we could not find any association with IA susceptibility. However, a stratified analysis revealed a sex disparity, since the allelic distribution of rs6517774 was different when comparing autoantibody positive females with males; a difference not seen in healthy subjects. By using HLA risk groups and sex as covariates, a Cox regression survival analysis found that the rs6517774 (A/G) SNP was associated with a lower age at seroconversion in females (Female*rs6517774-AA; HR = 1.53, p = 0.002), while introducing a protective effect in males. Accordingly, we propose that rs6517774 alters IA characteristics by modifying the age at seroconversion in a sex-dependent manner. In light of this observation, rs6517774 now joins a limited set on SNPs found to introduce sex-dependent risk effects on the age at IA initiation.
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Affiliation(s)
- Lucas Nygård
- Immunogenetics Laboratory, Institute of Biomedicine, University of Turku, Turku, Finland
- Department of Clinical Microbiology, Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | - Milla Valta
- Immunogenetics Laboratory, Institute of Biomedicine, University of Turku, Turku, Finland
| | - Antti-Pekka Laine
- Immunogenetics Laboratory, Institute of Biomedicine, University of Turku, Turku, Finland
| | - Jorma Toppari
- Research Centre for Integrative Physiology and Pharmacology, and Centre for Population Health Research, Institute of Biomedicine, University of Turku, Turku, Finland
- Department of Pediatrics, Turku University Hospital, Turku, Finland
| | - Mikael Knip
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Pediatric Research Center, New Children’s Hospital, Helsinki University Hospital, Helsinki, Finland
- Tampere Center for Child Health Research, Tampere University Hospital, Tampere, Finland
| | - Riitta Veijola
- Medical Research Center, Department of Pediatrics, PEDEGO Research Unit, University of Oulu, Oulu, Finland
- Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland
| | - Heikki Hyöty
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
- Fimlab Laboratories Ltd., Pirkanmaa Hospital District, Tampere, Finland
| | - Jorma Ilonen
- Immunogenetics Laboratory, Institute of Biomedicine, University of Turku, Turku, Finland
| | - Johanna Lempainen
- Immunogenetics Laboratory, Institute of Biomedicine, University of Turku, Turku, Finland
- Department of Pediatrics, Turku University Hospital, Turku, Finland
- Clinical Microbiology, Turku University Hospital, Turku, Finland
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11
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Johansen VBI, Josefsen K, Antvorskov JC. The Impact of Dietary Factors during Pregnancy on the Development of Islet Autoimmunity and Type 1 Diabetes: A Systematic Literature Review. Nutrients 2023; 15:4333. [PMID: 37892409 PMCID: PMC10609322 DOI: 10.3390/nu15204333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2023] [Revised: 10/05/2023] [Accepted: 10/06/2023] [Indexed: 10/29/2023] Open
Abstract
AIMS AND HYPOTHESIS The incidence of type 1 diabetes mellitus in children is considerably increasing in western countries. Thus, identification of the environmental determinants involved could ultimately lead to disease prevention. Here, we aimed to systematically review (PROSPERO ID: CRD42022362522) the current evidence of the association between maternal dietary factors during gestation and the risk of developing type 1 diabetes and/or islet autoimmunity (IA) in murine and human offspring. METHODS In accordance with PRISMA guidelines, the present systematic review searched PubMed and Scopus (n = 343) for different combinations of MeSH terms, such as type 1 diabetes, diet, islet autoimmunity, prenatal, nutrient, gluten, gliadin, vitamin, milk, and fibers. RESULTS We found that the most investigated dietary factors in the present literature were gluten, dietary advanced glycosylated end products (dAGEs), vitamin D, fatty acids, and iron. The results concerning prenatal exposure to a gluten-free environment showed a consistently protective effect on the development of IA. Prenatal exposures to vitamin D and certain fatty acids appeared to protect against the development of IA, whereas in utero iron and fat exposures correlated with increased risks of IA. CONCLUSION We conclude that a definite association is not established for most factors investigated as the literature represents a heterogeneous pool of data, although fetal exposures to some maternal dietary components, such as gluten, show consistent associations with increased risks of IA. We suggest that human prospective dietary intervention studies in both cohort and clinical settings are crucial to better evaluate critical and protective prenatal exposures from the maternal diet during pregnancy.
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Affiliation(s)
- Valdemar Brimnes Ingemann Johansen
- Faculty of Health and Medical Sciences, University of Copenhagen, Blegdamsvej 3B, 2200 Copenhagen, Denmark
- Department of Biology, Faculty of Science, University of Copenhagen, Ole Maaløes Vej 5, 2200 Copenhagen, Denmark
- Department of Pathology, The Bartholin Institute, Rigshospitalet, Copenhagen Biocenter, Ole Maaløes Vej 5, 2200 Copenhagen, Denmark; (K.J.); (J.C.A.)
| | - Knud Josefsen
- Department of Pathology, The Bartholin Institute, Rigshospitalet, Copenhagen Biocenter, Ole Maaløes Vej 5, 2200 Copenhagen, Denmark; (K.J.); (J.C.A.)
| | - Julie Christine Antvorskov
- Department of Pathology, The Bartholin Institute, Rigshospitalet, Copenhagen Biocenter, Ole Maaløes Vej 5, 2200 Copenhagen, Denmark; (K.J.); (J.C.A.)
- Steno Diabetes Center, Borgmester Ib Juuls Vej 83, 2730 Herlev, Denmark
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12
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Lugar M, Eugster A, Achenbach P, von dem Berge T, Berner R, Besser REJ, Casteels K, Elding Larsson H, Gemulla G, Kordonouri O, Lindner A, Lundgren M, Müller D, Oltarzewski M, Rochtus A, Scholz M, Szypowska A, Todd JA, Ziegler AG, Bonifacio E. SARS-CoV-2 Infection and Development of Islet Autoimmunity in Early Childhood. JAMA 2023; 330:1151-1160. [PMID: 37682551 PMCID: PMC10523173 DOI: 10.1001/jama.2023.16348] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 08/07/2023] [Indexed: 09/09/2023]
Abstract
Importance The incidence of diabetes in childhood has increased during the COVID-19 pandemic. Elucidating whether SARS-CoV-2 infection is associated with islet autoimmunity, which precedes type 1 diabetes onset, is relevant to disease etiology and future childhood diabetes trends. Objective To determine whether there is a temporal relationship between SARS-CoV-2 infection and the development of islet autoimmunity in early childhood. Design, Setting, and Participants Between February 2018 and March 2021, the Primary Oral Insulin Trial, a European multicenter study, enrolled 1050 infants (517 girls) aged 4 to 7 months with a more than 10% genetically defined risk of type 1 diabetes. Children were followed up through September 2022. Exposure SARS-CoV-2 infection identified by SARS-CoV-2 antibody development in follow-up visits conducted at 2- to 6-month intervals until age 2 years from April 2018 through June 2022. Main Outcomes and Measures The development of multiple (≥2) islet autoantibodies in follow-up in consecutive samples or single islet antibodies and type 1 diabetes. Antibody incidence rates and risk of developing islet autoantibodies were analyzed. Results Consent was obtained for 885 (441 girls) children who were included in follow-up antibody measurements from age 6 months. SARS-CoV-2 antibodies developed in 170 children at a median age of 18 months (range, 6-25 months). Islet autoantibodies developed in 60 children. Six of these children tested positive for islet autoantibodies at the same time as they tested positive for SARS-CoV-2 antibodies and 6 at the visit after having tested positive for SARS-CoV-2 antibodies. The sex-, age-, and country-adjusted hazard ratio for developing islet autoantibodies when the children tested positive for SARS-CoV-2 antibodies was 3.5 (95% CI, 1.6-7.7; P = .002). The incidence rate of islet autoantibodies was 3.5 (95% CI, 2.2-5.1) per 100 person-years in children without SARS-CoV-2 antibodies and 7.8 (95% CI, 5.3-19.0) per 100 person-years in children with SARS-CoV-2 antibodies (P = .02). Islet autoantibody risk in children with SARS-CoV-2 antibodies was associated with younger age (<18 months) of SARS-CoV-2 antibody development (HR, 5.3; 95% CI, 1.5-18.3; P = .009). Conclusion and relevance In young children with high genetic risk of type 1 diabetes, SARS-CoV-2 infection was temporally associated with the development of islet autoantibodies.
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Affiliation(s)
- Marija Lugar
- Technische Universität Dresden, Center for Regenerative Therapies Dresden, Dresden, Germany
| | - Anne Eugster
- Technische Universität Dresden, Center for Regenerative Therapies Dresden, Dresden, Germany
| | - Peter Achenbach
- Institute of Diabetes Research, Helmholtz Munich, German Center for Environmental Health, Munich, Germany
- Forschergruppe Diabetes, School of Medicine, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
- Forschergruppe Diabetes e.V. at Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
| | | | - Reinhard Berner
- Department of Pediatrics, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Rachel E. J. Besser
- Department of Pediatrics, University of Oxford, Oxford, United Kingdom
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, NIHR Oxford Biomedical Research Centre, Oxford University, Oxford, United Kingdom
| | - Kristina Casteels
- Department of Pediatrics, University Hospitals Leuven, Leuven, Belgium
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Helena Elding Larsson
- Unit for Pediatric Endocrinology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Department of Paediatrics, Skåne University Hospital, Malmö, Sweden
| | - Gita Gemulla
- Technische Universität Dresden, Center for Regenerative Therapies Dresden, Dresden, Germany
- Department of Pediatrics, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Olga Kordonouri
- Kinder-und Jugendkrankenhaus AUF DER BULT, Hannover, Germany
| | - Annett Lindner
- Technische Universität Dresden, Center for Regenerative Therapies Dresden, Dresden, Germany
| | - Markus Lundgren
- Unit for Pediatric Endocrinology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Department of Pediatrics, Kristianstad Hospital, Kristianstad, Sweden
| | - Denise Müller
- Technische Universität Dresden, Center for Regenerative Therapies Dresden, Dresden, Germany
| | | | - Anne Rochtus
- Department of Pediatrics, University Hospitals Leuven, Leuven, Belgium
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Marlon Scholz
- Institute of Diabetes Research, Helmholtz Munich, German Center for Environmental Health, Munich, Germany
- Forschergruppe Diabetes, School of Medicine, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
- Forschergruppe Diabetes e.V. at Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
| | | | - John A. Todd
- Wellcome Centre for Human Genetics, Nuffield Department of Medicine, NIHR Oxford Biomedical Research Centre, Oxford University, Oxford, United Kingdom
| | - Anette-Gabriele Ziegler
- Institute of Diabetes Research, Helmholtz Munich, German Center for Environmental Health, Munich, Germany
- Forschergruppe Diabetes, School of Medicine, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
- Forschergruppe Diabetes e.V. at Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
| | - Ezio Bonifacio
- Technische Universität Dresden, Center for Regenerative Therapies Dresden, Dresden, Germany
- Paul Langerhans Institute Dresden of the Helmholtz Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, Technische Universität Dresden, Germany
- Institute for Diabetes and Obesity, Helmholtz Munich, German Center for Environmental Health, Munich, Germany
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Vecchio F, Carré A, Korenkov D, Zhou Z, Apaolaza P, Tuomela S, Burgos-Morales O, Snowhite I, Perez-Hernandez J, Brandao B, Afonso G, Halliez C, Kaddis J, Kent SC, Nakayama M, Richardson SJ, Vinh J, Verdier Y, Laiho J, Scharfmann R, Solimena M, Marinicova Z, Bismuth E, Lucidarme N, Sanchez J, Bustamante C, Gomez P, Buus S, You S, Pugliese A, Hyoty H, Rodriguez-Calvo T, Flodstrom-Tullberg M, Mallone R. Coxsackievirus infection induces direct pancreatic β-cell killing but poor anti-viral CD8+ T-cell responses. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.19.553954. [PMID: 37662376 PMCID: PMC10473604 DOI: 10.1101/2023.08.19.553954] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
Coxsackievirus B (CVB) infection of pancreatic β cells is associated with β-cell autoimmunity. We investigated how CVB impacts human β cells and anti-CVB T-cell responses. β cells were efficiently infected by CVB in vitro, downregulated HLA Class I and presented few, selected HLA-bound viral peptides. Circulating CD8+ T cells from CVB-seropositive individuals recognized only a fraction of these peptides, and only another sub-fraction was targeted by effector/memory T cells that expressed the exhaustion marker PD-1. T cells recognizing a CVB epitope cross-reacted with the β-cell antigen GAD. Infected β cells, which formed filopodia to propagate infection, were more efficiently killed by CVB than by CVB-reactive T cells. Thus, our in-vitro and ex-vivo data highlight limited T-cell responses to CVB, supporting the rationale for CVB vaccination trials for type 1 diabetes prevention. CD8+ T cells recognizing structural and non-structural CVB epitopes provide biomarkers to differentially follow response to infection and vaccination.
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Affiliation(s)
- Federica Vecchio
- Université Paris Cité, Institut Cochin, CNRS, INSERM, Paris, France
| | - Alexia Carré
- Université Paris Cité, Institut Cochin, CNRS, INSERM, Paris, France
| | - Daniil Korenkov
- Université Paris Cité, Institut Cochin, CNRS, INSERM, Paris, France
| | - Zhicheng Zhou
- Université Paris Cité, Institut Cochin, CNRS, INSERM, Paris, France
| | - Paola Apaolaza
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Soile Tuomela
- Center for Infectious Medicine, Department of medicine Huddinge, Karolinska Institutet, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | | | - Isaac Snowhite
- Diabetes Research Institute, Leonard Miller School of Medicine, University of Miami, FL, USA
- Department of Diabetes Immunology, Arthur Riggs Diabetes and Metabolism Research Institute, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | | | - Barbara Brandao
- Université Paris Cité, Institut Cochin, CNRS, INSERM, Paris, France
| | - Georgia Afonso
- Université Paris Cité, Institut Cochin, CNRS, INSERM, Paris, France
| | | | - John Kaddis
- Department of Diabetes Immunology, Arthur Riggs Diabetes and Metabolism Research Institute, Beckman Research Institute, City of Hope, Duarte, CA, USA
- Department of Diabetes and Cancer Discovery Science, Arthur Riggs Diabetes and Metabolism Research Institute, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Sally C. Kent
- University of Massachusetts Medical Chan School, Diabetes Center of Excellence, Department of Medicine, Worcester, MA, USA
| | - Maki Nakayama
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Sarah J. Richardson
- Islet Biology Exeter (IBEx), Exeter Centre of Excellence for Diabetes Research (EXCEED), Department of Clinical and Biomedical Sciences, University of Exeter Medical School, Exeter, UK
| | - Joelle Vinh
- ESPCI Paris, PSL University, Spectrométrie de Masse Biologique et Protéomique, CNRS UMR8249, Paris, France
| | - Yann Verdier
- ESPCI Paris, PSL University, Spectrométrie de Masse Biologique et Protéomique, CNRS UMR8249, Paris, France
| | - Jutta Laiho
- Tampere University, Faculty of Medicine and Health Technology and Fimlab Laboratories, Tampere, Finland
| | | | - Michele Solimena
- Paul Langerhans Institute, Technical University Dresden, Germany
| | | | - Elise Bismuth
- Assistance Publique Hôpitaux de Paris, Service d’Endocrinologie Pédiatrique, Robert Debré Hospital, Paris, France
| | - Nadine Lucidarme
- Assistance Publique Hôpitaux de Paris, Service de Pédiatrie, Jean Verdier Hospital, Bondy, France
| | - Janine Sanchez
- Department of Pediatrics, Division of pediatric Endocrinology, Leonard Miller School of Medicine, University of Miami, FL, USA
| | - Carmen Bustamante
- Department of Pediatrics, Division of pediatric Endocrinology, Leonard Miller School of Medicine, University of Miami, FL, USA
| | - Patricia Gomez
- Department of Pediatrics, Division of pediatric Endocrinology, Leonard Miller School of Medicine, University of Miami, FL, USA
| | - Soren Buus
- Panum Institute, Department of International Health, Immunology and Microbiology, Copenhagen, Denmark
| | | | - Sylvaine You
- Université Paris Cité, Institut Cochin, CNRS, INSERM, Paris, France
- Indiana Biosciences Research Institute, Indianapolis, IN, USA
| | - Alberto Pugliese
- Diabetes Research Institute, Leonard Miller School of Medicine, University of Miami, FL, USA
- Department of Diabetes Immunology, Arthur Riggs Diabetes and Metabolism Research Institute, Beckman Research Institute, City of Hope, Duarte, CA, USA
| | - Heikki Hyoty
- Tampere University, Faculty of Medicine and Health Technology and Fimlab Laboratories, Tampere, Finland
| | - Teresa Rodriguez-Calvo
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
| | - Malin Flodstrom-Tullberg
- Center for Infectious Medicine, Department of medicine Huddinge, Karolinska Institutet, Karolinska University Hospital Huddinge, Stockholm, Sweden
| | - Roberto Mallone
- Université Paris Cité, Institut Cochin, CNRS, INSERM, Paris, France
- Indiana Biosciences Research Institute, Indianapolis, IN, USA
- Assistance Publique Hôpitaux de Paris, Service de Diabétologie et Immunologie Clinique, Cochin Hospital, Paris, France
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14
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Ingrosso DMF, Quarta MT, Quarta A, Chiarelli F. Prevention of Type 1 Diabetes in Children: A Worthy Challenge? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:5962. [PMID: 37297566 PMCID: PMC10252671 DOI: 10.3390/ijerph20115962] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 03/19/2023] [Accepted: 05/21/2023] [Indexed: 06/12/2023]
Abstract
Nowadays, the development of new immuno-therapeutic drugs has made it possible to alter the course of many autoimmune diseases. Type 1 diabetes is a chronic disease with a progressive dependence on exogenous insulin administration. The ability to intercept individuals at high risk of developing type 1 diabetes is the first step toward the development of therapies that can delay the process of β-cell destruction, thus permitting a better glycemic control and reducing the incidence of ketoacidosis. The knowledge of the main pathogenetic mechanisms underlying the three stages of the disease may be helpful to identify the best immune therapeutic approach. In this review, we aim to give an overview of the most important clinical trials conducted during the primary, secondary and tertiary phases of prevention.
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Affiliation(s)
| | | | | | - Francesco Chiarelli
- Department of Pediatrics, University of Chieti, Via dei Vestini, 66100 Chieti, Italy
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15
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Ziegler AG. The countdown to type 1 diabetes: when, how and why does the clock start? Diabetologia 2023:10.1007/s00125-023-05927-2. [PMID: 37231274 DOI: 10.1007/s00125-023-05927-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Accepted: 03/27/2023] [Indexed: 05/27/2023]
Abstract
'The clock to type 1 diabetes has started when islet antibodies are first detected', commented George Eisenbarth with regard to the pathogenesis of type 1 diabetes. This review focuses on 'starting the clock', i.e. the initiation of pre-symptomatic islet autoimmunity/the first appearance of islet autoantibodies. In particular, this review addresses why susceptibility to developing islet autoimmunity is greatest in the first 2 years of life and why beta cells are a frequent target of the immune system during this fertile period. A concept for the development of beta cell autoimmunity in childhood is discussed and three factors are highlighted that contribute to this early predisposition: (1) high beta cell activity and potential vulnerability to stress; (2) high rates of and first exposures to infection; and (3) a heightened immune response, with a propensity for T helper type 1 (Th1) immunity. Arguments are presented that beta cell injury, accompanied by activation of an inflammatory immune response, precedes the initiation of autoimmunity. Finally, the implications for strategies aimed at primary prevention for a world without type 1 diabetes are discussed.
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Affiliation(s)
- Anette-Gabriele Ziegler
- Institute of Diabetes Research, Helmholtz Munich, German Center for Environmental Health, Munich, Germany.
- Forschergruppe Diabetes, School of Medicine, Klinikum rechts der Isar, Technical University Munich, Munich, Germany.
- Forschergruppe Diabetes e.V. at Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany.
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16
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Mameli C, Triolo TM, Chiarelli F, Rewers M, Zuccotti G, Simmons KM. Lessons and Gaps in the Prediction and Prevention of Type 1 Diabetes. Pharmacol Res 2023; 193:106792. [PMID: 37201589 DOI: 10.1016/j.phrs.2023.106792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 05/01/2023] [Accepted: 05/08/2023] [Indexed: 05/20/2023]
Abstract
Type 1 diabetes (T1D) is a serious chronic autoimmune condition. Even though the root cause of T1D development has yet to be determined, enough is known about the natural history of T1D pathogenesis to allow study of interventions that may delay or even prevent the onset of hyperglycemia and clinical T1D. Primary prevention aims to prevent the onset of beta cell autoimmunity in asymptomatic people at high genetic risk for T1D. Secondary prevention strategies aim to preserve functional beta cells once autoimmunity is present, and tertiary prevention aims to initiate and extend partial remission of beta cell destruction after the clinical onset of T1D. The approval of teplizumab in the United States to delay the onset of clinical T1D marks an impressive milestone in diabetes care. This treatment opens the door to a paradigm shift in T1D care. People with T1D risk need to be identified early by measuring T1D related islet autoantibodies. Identifying people with T1D before they have symptoms will facilitate better understanding of pre-symptomatic T1D progression and T1D prevention strategies that may be effective.
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Affiliation(s)
- Chiara Mameli
- Department of Pediatrics, V. Buzzi Children's Hospital, Milan, Italy; Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy.
| | - Taylor M Triolo
- Barbara Davis Center for Diabetes, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO 80045
| | | | - Marian Rewers
- Barbara Davis Center for Diabetes, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO 80045
| | - Gianvincenzo Zuccotti
- Department of Pediatrics, V. Buzzi Children's Hospital, Milan, Italy; Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Kimber M Simmons
- Barbara Davis Center for Diabetes, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO 80045
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Devi MB, Sarma HK, Mukherjee AK, Khan MR. Mechanistic Insights into Immune-Microbiota Interactions and Preventive Role of Probiotics Against Autoimmune Diabetes Mellitus. Probiotics Antimicrob Proteins 2023:10.1007/s12602-023-10087-1. [PMID: 37171690 DOI: 10.1007/s12602-023-10087-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/04/2023] [Indexed: 05/13/2023]
Abstract
Recent studies on genetically susceptible individuals and animal models revealed the potential role of the intestinal microbiota in the pathogenesis of type 1 diabetes (T1D) through complex interactions with the immune system. T1D incidence has been increasing exponentially with modern lifestyle altering normal microbiota composition, causing dysbiosis characterized by an imbalance in the gut microbial community. Dysbiosis has been suggested to be a potential contributing factor in T1D. Moreover, several studies have shown the potential role of probiotics in regulating T1D through various mechanisms. Current T1D therapies target curative measures; however, preventive therapeutics are yet to be proven. This review highlights immune microbiota interaction and the immense role of probiotics and postbiotics as important immunological interventions for reducing the risk of T1D.
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Affiliation(s)
- M Bidyarani Devi
- Molecular Biology and Microbial Biotechnology Laboratory, Life Sciences Division, Institute of Advanced Study in Science and Technology (IASST), Guwahati, Assam, India
- Department of Biotechnology, Gauhati University, Guwahati, Assam, India
| | | | - Ashis K Mukherjee
- Molecular Biology and Microbial Biotechnology Laboratory, Life Sciences Division, Institute of Advanced Study in Science and Technology (IASST), Guwahati, Assam, India
| | - Mojibur R Khan
- Molecular Biology and Microbial Biotechnology Laboratory, Life Sciences Division, Institute of Advanced Study in Science and Technology (IASST), Guwahati, Assam, India.
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Peltonen EJ, Veijola R, Ilonen J, Knip M, Niinikoski H, Toppari J, Virtanen HE, Virtanen SM, Peltonen J, Nevalainen J. What is the role of puberty in the development of islet autoimmunity and progression to type 1 diabetes? Eur J Epidemiol 2023:10.1007/s10654-023-01002-7. [PMID: 37079135 DOI: 10.1007/s10654-023-01002-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2022] [Accepted: 03/31/2023] [Indexed: 04/21/2023]
Abstract
In many populations, the peak period of incidence of type 1 diabetes (T1D) has been observed to be around 10-14 years of age, coinciding with puberty, but direct evidence of the role of puberty in the development of T1D is limited. We therefore aimed to investigate whether puberty and the timing of its onset are associated with the development of islet autoimmunity (IA) and subsequent progression to T1D. A Finnish population-based cohort of children with HLA-DQB1-conferred susceptibility to T1D was followed from 7 years of age until 15 years of age or until a diagnosis of T1D (n = 6920). T1D-associated autoantibodies and growth were measured at 3- to 12-month intervals, and pubertal onset timing was assessed based on growth. The analyses used a three-state survival model. IA was defined as being either positive for islet cell antibodies plus at least one biochemical autoantibody (ICA + 1) or as being repeatedly positive for at least one biochemical autoantibody (BC1). Depending on the IA definition, either 303 (4.4%, ICA + 1) or 435 (6.3%, BC1) children tested positive for IA by the age of 7 years, and 211 (3.2%, ICA + 1)) or 198 (5.3%, BC1) developed IA during follow-up. A total of 172 (2.5%) individuals developed T1D during follow-up, of whom 169 were positive for IA prior to the clinical diagnosis. Puberty was associated with an increase in the risk of progression to T1D, but only from ICA + 1-defined IA (hazard ratio 1.57; 95% confidence interval 1.14, 2.16), and the timing of pubertal onset did not affect the association. No association between puberty and the risk of IA was detected. In conclusion, puberty may affect the risk of progression but is not a risk factor for IA.
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Affiliation(s)
- Essi J Peltonen
- Unit of Health Sciences, Faculty of Social Sciences, Tampere University, Tampere, Finland.
| | - Riitta Veijola
- Department of Pediatrics, Research Unit of Clinical Medicine, Medical Research Center, University of Oulu, Oulu, Finland
- Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland
| | - Jorma Ilonen
- Immunogenetics Laboratory, Institute of Biomedicine, University of Turku, Turku, Finland
| | - Mikael Knip
- Pediatric Research Center, New Children's Hospital, Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Center for Child Health Research, Tampere University and Tampere University Hospital, Tampere, Finland
| | - Harri Niinikoski
- Research Centre for Integrative Physiology and Pharmacology, Institute of Biomedicine, University of Turku, Turku, Finland
- Department of Pediatrics, Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Jorma Toppari
- Research Centre for Integrative Physiology and Pharmacology, Institute of Biomedicine, University of Turku, Turku, Finland
- Department of Pediatrics, Turku University Hospital, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Helena E Virtanen
- Research Centre for Integrative Physiology and Pharmacology, Institute of Biomedicine, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Suvi M Virtanen
- Unit of Health Sciences, Faculty of Social Sciences, Tampere University, Tampere, Finland
- Center for Child Health Research, Tampere University and Tampere University Hospital, Tampere, Finland
- Tays Research, Development and Innovation Center, Tampere University Hospital, Tampere, Finland
- Health and Well-Being Promotion Unit, Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Jaakko Peltonen
- Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland
| | - Jaakko Nevalainen
- Unit of Health Sciences, Faculty of Social Sciences, Tampere University, Tampere, Finland
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Ghalwash M, Anand V, Lou O, Martin F, Rewers M, Ziegler AG, Toppari J, Hagopian WA, Veijola R. Islet autoantibody screening in at-risk adolescents to predict type 1 diabetes until young adulthood: a prospective cohort study. THE LANCET. CHILD & ADOLESCENT HEALTH 2023; 7:261-268. [PMID: 36681087 PMCID: PMC10038928 DOI: 10.1016/s2352-4642(22)00350-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 11/21/2022] [Accepted: 11/23/2022] [Indexed: 01/20/2023]
Abstract
BACKGROUND Screening for islet autoantibodies in children and adolescents identifies individuals who will later develop type 1 diabetes, allowing patient and family education to prevent diabetic ketoacidosis at onset and to enable consideration of preventive therapies. We aimed to assess whether islet autoantibody screening is effective for predicting type 1 diabetes in adolescents aged 10-18 years with an increased risk of developing type 1 diabetes. METHODS Data were harmonised from prospective studies from Finland (the Diabetes Prediction and Prevention study), Germany (the BABYDIAB study), and the USA (Diabetes Autoimmunity Study in the Young and the Diabetes Evaluation in Washington study). Autoantibodies against insulin, glutamic acid decarboxylase, and insulinoma-associated protein 2 were measured at each follow-up visit. Children who were lost to follow-up or diagnosed with type 1 diabetes before 10 years of age were excluded. Inverse probability censoring weighting was used to include data from remaining participants. Sensitivity and the positive predictive value of these autoantibodies, tested at one or two ages, to predict type 1 diabetes by the age of 18 years were the main outcomes. FINDINGS Of 20 303 children with an increased type 1 diabetes risk, 8682 were included for the analysis with inverse probability censoring weighting. 1890 were followed up to 18 years of age or developed type 1 diabetes between the ages of 10 years and 18 years, and their median follow-up was 18·3 years (IQR 14·5-20·3). 442 (23·4%) of 1890 adolescents were positive for at least one islet autoantibody, and 262 (13·9%) developed type 1 diabetes. Time from seroconversion to diabetes diagnosis increased by 0·64 years (95% CI 0·34-0·95) for each 1-year increment of diagnosis age (Pearson's correlation coefficient 0·88, 95% CI 0·50-0·97, p=0·0020). The median interval between the last prediagnostic sample and diagnosis was 0·3 years (IQR 0·1-1·3) in the 227 participants who were autoantibody positive and 6·8 years (1·6-9·9) for the 35 who were autoantibody negative. Single screening at the age of 10 years was 90% (95% CI 86-95) sensitive, with a positive predictive value of 66% (60-72) for clinical diabetes. Screening at two ages (10 years and 14 years) increased sensitivity to 93% (95% CI 89-97) but lowered the positive predictive value to 55% (49-60). INTERPRETATION Screening of adolescents at risk for type 1 diabetes only once at 10 years of age for islet autoantibodies was highly effective to detect type 1 diabetes by the age of 18 years, which in turn could enable prevention of diabetic ketoacidosis and participation in secondary prevention trials. FUNDING JDRF International.
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Affiliation(s)
- Mohamed Ghalwash
- Center for Computational Health, IBM Research, Yorktown Heights, NY, USA; Faculty of Science, Ain Shams University, Cairo, Egypt
| | - Vibha Anand
- Center for Computational Health, IBM Research, Cambridge, MA, USA
| | | | | | - Marian Rewers
- Barbara Davis Center for Diabetes, University of Colorado, Denver, CO, USA
| | - Anette-G Ziegler
- Forschergruppe Diabetes and Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany der TU München, Munich, Germany
| | - Jorma Toppari
- Institute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, and Centre for Population Health Research, University of Turku, Turku, Finland; Department of Pediatrics, Turku University Hospital, Turku, Finland
| | | | - Riitta Veijola
- Department of Pediatrics, Research Unit of Clinical Medicine, Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland.
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Mistry S, Gouripeddi R, Raman V, Facelli JC. Stratifying risk for onset of type 1 diabetes using islet autoantibody trajectory clustering. Diabetologia 2023; 66:520-534. [PMID: 36446887 PMCID: PMC10097474 DOI: 10.1007/s00125-022-05843-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Accepted: 10/20/2022] [Indexed: 12/02/2022]
Abstract
AIMS/HYPOTHESIS Islet autoantibodies can be detected prior to the onset of type 1 diabetes and are important tools for aetiologic studies, prevention trials and disease screening. Current risk stratification models rely on the positivity status of islet autoantibodies alone, but additional autoantibody characteristics may be important for understanding disease onset. This work aimed to determine if a data-driven model incorporating characteristics of islet autoantibody development, including timing, type and titre, could stratify risk for type 1 diabetes onset. METHODS Data on autoantibodies against GAD (GADA), tyrosine phosphatase islet antigen-2 (IA-2A) and insulin (IAA) were obtained for 1,415 children enrolled in The Environmental Determinants of Diabetes in the Young study with at least one positive autoantibody measurement from years 1 to 12 of life. Unsupervised machine learning algorithms were trained to identify clusters of autoantibody development based on islet autoantibody timing, type and titre. Risk for type 1 diabetes across each identified cluster was evaluated using time-to-event analysis. RESULTS We identified 2-4 clusters in each year cohort that differed by autoantibody timing, titre and type. During the first 3 years of life, risk for type 1 diabetes onset was driven by membership in clusters with high titres of all three autoantibodies (1-year risk: 20.87-56.25%, 5-year risk: 67.73-69.19%). Type 1 diabetes risk transitioned to type-specific titres during ages 4 to 8, as clusters with high titres of IA-2A (1-year risk: 20.88-28.93%, 5-year risk: 62.73-78.78%) showed faster progression to diabetes compared with high titres of GADA (1-year risk: 4.38-6.11%, 5-year risk: 25.06-31.44%). The importance of high GADA titres decreased during ages 9 to 12, with clusters containing high titres of IA-2A alone (1-year risk: 14.82-30.93%) or both GADA and IA-2A (1-year risk: 8.27-25.00%) demonstrating increased risk. CONCLUSIONS/INTERPRETATION This unsupervised machine learning approach provides a novel tool for stratifying risk for type 1 diabetes onset using multiple autoantibody characteristics. These findings suggest that age-dependent changes in IA-2A titres modulate risk for type 1 diabetes onset across 12 years of life. Overall, this work supports incorporation of islet autoantibody timing, type and titre in risk stratification models for aetiologic studies, prevention trials and disease screening.
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Affiliation(s)
- Sejal Mistry
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
| | - Ramkiran Gouripeddi
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA
- Clinical and Translational Science Institute, University of Utah, Salt Lake City, UT, USA
| | - Vandana Raman
- Division of Pediatric Endocrinology, Department of Pediatrics, University of Utah, Salt Lake City, UT, USA
| | - Julio C Facelli
- Department of Biomedical Informatics, University of Utah, Salt Lake City, UT, USA.
- Clinical and Translational Science Institute, University of Utah, Salt Lake City, UT, USA.
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ElSayed NA, Aleppo G, Aroda VR, Bannuru RR, Brown FM, Bruemmer D, Collins BS, Hilliard ME, Isaacs D, Johnson EL, Kahan S, Khunti K, Leon J, Lyons SK, Perry ML, Prahalad P, Pratley RE, Seley JJ, Stanton RC, Gabbay RA, on behalf of the American Diabetes Association. 2. Classification and Diagnosis of Diabetes: Standards of Care in Diabetes-2023. Diabetes Care 2023; 46:S19-S40. [PMID: 36507649 PMCID: PMC9810477 DOI: 10.2337/dc23-s002] [Citation(s) in RCA: 803] [Impact Index Per Article: 803.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
The American Diabetes Association (ADA) "Standards of Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee, are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations and a full list of Professional Practice Committee members, please refer to Introduction and Methodology. Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Ng K, Anand V, Stavropoulos H, Veijola R, Toppari J, Maziarz M, Lundgren M, Waugh K, Frohnert BI, Martin F, Lou O, Hagopian W, Achenbach P. Quantifying the utility of islet autoantibody levels in the prediction of type 1 diabetes in children. Diabetologia 2023; 66:93-104. [PMID: 36195673 PMCID: PMC9729160 DOI: 10.1007/s00125-022-05799-y] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Accepted: 08/02/2022] [Indexed: 12/14/2022]
Abstract
AIMS/HYPOTHESIS The aim of this study was to explore the utility of islet autoantibody (IAb) levels for the prediction of type 1 diabetes in autoantibody-positive children. METHODS Prospective cohort studies in Finland, Germany, Sweden and the USA followed 24,662 children at increased genetic or familial risk of developing islet autoimmunity and diabetes. For the 1403 who developed IAbs (523 of whom developed diabetes), levels of autoantibodies against insulin (IAA), glutamic acid decarboxylase (GADA) and insulinoma-associated antigen-2 (IA-2A) were harmonised for analysis. Diabetes prediction models using multivariate logistic regression with inverse probability censored weighting (IPCW) were trained using 10-fold cross-validation. Discriminative power for disease was estimated using the IPCW concordance index (C index) with 95% CI estimated via bootstrap. RESULTS A baseline model with covariates for data source, sex, diabetes family history, HLA risk group and age at seroconversion with a 10-year follow-up period yielded a C index of 0.61 (95% CI 0.58, 0.63). The performance improved after adding the IAb positivity status for IAA, GADA and IA-2A at seroconversion: C index 0.72 (95% CI 0.71, 0.74). Using the IAb levels instead of positivity indicators resulted in even better performance: C index 0.76 (95% CI 0.74, 0.77). The predictive power was maintained when using the IAb levels alone: C index 0.76 (95% CI 0.75, 0.76). The prediction was better for shorter follow-up periods, with a C index of 0.82 (95% CI 0.81, 0.83) at 2 years, and remained reasonable for longer follow-up periods, with a C index of 0.76 (95% CI 0.75, 0.76) at 11 years. Inclusion of the results of a third IAb test added to the predictive power, and a suitable interval between seroconversion and the third test was approximately 1.5 years, with a C index of 0.78 (95% CI 0.77, 0.78) at 10 years follow-up. CONCLUSIONS/INTERPRETATION Consideration of quantitative patterns of IAb levels improved the predictive power for type 1 diabetes in IAb-positive children beyond qualitative IAb positivity status.
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Affiliation(s)
| | | | | | - Riitta Veijola
- Department of Pediatrics, PEDEGO Research Unit, University of Oulu and Oulu University Hospital, Oulu, Finland
| | - Jorma Toppari
- Institute of Biomedicine and Centre for Population Health Research, University of Turku, Turku, Finland
- Department of Pediatrics, Turku University Hospital, Turku, Finland
| | - Marlena Maziarz
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Markus Lundgren
- Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
- Department of Pediatrics, Kristianstad Hospital, Kristianstad, Sweden
| | - Kathy Waugh
- Barbara Davis Center for Diabetes, University of Colorado, Denver, CO, USA
| | | | | | | | | | - Peter Achenbach
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany.
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23
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Atapattu N, Amoroso M, Powell M, de Silva DGH, de Silva KSH, Furmaniak J, Rees Smith B, Premawardhana LD. The prevalence of diabetes and thyroid related autoantibodies in Sri Lankan children with type 1 diabetes and their unaffected siblings - The utility of a new screening assay. Front Endocrinol (Lausanne) 2023; 14:1028285. [PMID: 36814577 PMCID: PMC9939822 DOI: 10.3389/fendo.2023.1028285] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2022] [Accepted: 01/16/2023] [Indexed: 02/09/2023] Open
Abstract
BACKGROUND There is limited information about diabetes and thyroid related autoantibodies in children with type 1 diabetes (T1D) or their siblings in Sri Lanka. OBJECTIVES To assess in T1D children and their unaffected siblings the prevalence of autoantibodies to (1) glutamic acid decarboxylase (GADA), insulinoma associated antigen-2 (IA-2A) and zinc transporter 8 (ZnT8A) using 3 Screen ICA™ (3-Screen) and individual ELISA assays; (2) insulin (IAA); and (3) thyroid peroxidase (TPOA), thyroglobulin (TgA) and the TSH receptor (TSHRA). METHODS We selected - (a) consecutive T1D children, and (b) their unaffected siblings of both sexes, from the T1D Registry at Lady Ridgeway Hospital, Colombo. RESULTS The median age (IQR) of 235 T1D children and 252 unaffected siblings was 11 (8.4, 13.2) and 9 (5.4, 14.9) years respectively, and the duration of T1D was 23 (7, 54) months. (1) T1D children (a) 79.1% were 3-Screen positive; (b) all 3-Screen positives were individual antibody positive (GADA in 74%; IA-2A 31.1%; ZnT8A 38.7%); (c) and were younger (p=0.01 vs 3-Screen negatives); (d) multiple autoantibodies were present in 45.1%; (e) IA-2A (p=0.002) and ZnT8A (p=0.006) prevalence decreased with T1D duration. (f) TPOA and TgA prevalence was higher in T1D children compared to unaffected siblings (28%, p=0.001 and 31%, p=0.004, respectively). (2) Unaffected siblings (a) 6.3% were 3-Screen positive (p=0.001 vs T1D), and 2.4% were positive for IAA; (b) four subjects had two diabetes related autoantibodies, one of whom developed dysglycaemia during follow-up. CONCLUSIONS The 3-Screen assay, used for the first time in Sri Lankan T1D children and their siblings as a screening tool, shows a high prevalence of T1D related Abs with a high correlation with individual assays, and is also a helpful tool in screening unaffected siblings for future T1D risk. The higher prevalence of thyroid autoantibodies in T1D children is consistent with polyglandular autoimmunity.
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Affiliation(s)
- Navoda Atapattu
- Endocrinology and Diabetes Unit, Lady Ridgeway Hospital, Colombo, Sri Lanka
- *Correspondence: Navoda Atapattu,
| | - Marie Amoroso
- FIRS Laboratories, RSR Ltd., Cardiff, United Kingdom
| | | | - D. G. Harendra de Silva
- Department of Paediatrics, Lady Ridgeway Hospital and Faculty of Medicine, Colombo, Sri Lanka
| | - K. Shamya H. de Silva
- Department of Paediatrics, Lady Ridgeway Hospital and Faculty of Medicine, Colombo, Sri Lanka
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Bendor-Samuel OM, Wishlade T, Willis L, Aley P, Choi E, Craik R, Mujadidi Y, Mounce G, Roseman F, De La Horra Gozalo A, Bland J, Taj N, Smith I, Ziegler AG, Bonifacio E, Winkler C, Haupt F, Todd JA, Servais L, Snape MD, Vatish M. Successful integration of newborn genetic testing into UK routine screening using prospective consent to determine eligibility for clinical trials. Arch Dis Child 2023; 108:26-30. [PMID: 36171064 PMCID: PMC9763160 DOI: 10.1136/archdischild-2022-324270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 09/09/2022] [Indexed: 02/04/2023]
Abstract
OBJECTIVE INGR1D (INvestigating Genetic Risk for type 1 Diabetes) was a type 1 diabetes (T1D) genetic screening study established to identify participants for a primary prevention trial (POInT, Primary Oral Insulin Trial). METHODS The majority of participants were recruited by research midwives in antenatal clinics from 18 weeks' gestation. Using the NHS Newborn Bloodspot Screening Programme (NBSP) infrastructure, participants enrolled in INGR1D had an extra sample taken from their day 5 bloodspot card sent for T1D genetic screening. Those at an increased risk of T1D were informed of the result, given education about T1D and the opportunity to take part in POInT. RESULTS Between April 2018 and November 2020, 66% of women approached about INGR1D chose to participate. 15 660 babies were enrolled into INGR1D and 14 731 blood samples were processed. Of the processed samples, 157 (1%) had confirmed positive results, indicating an increased risk of T1D, of whom a third (n=49) enrolled into POInT (20 families were unable to participate in POInT due to COVID-19 lockdown restrictions). CONCLUSION The use of prospective consent to perform personalised genetic testing on samples obtained through the routine NBSP represents a novel mechanism for clinical genetic research in the UK and provides a model for further population-based genetic studies in the newborn.
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Affiliation(s)
| | - Tabitha Wishlade
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, Oxfordshire, UK
| | - Louise Willis
- Oxford Vaccine Group, University of Oxford, Oxford, Oxfordshire, UK
| | - Parvinder Aley
- Oxford Vaccine Group, University of Oxford, Oxford, Oxfordshire, UK
| | - Edward Choi
- Oxford Vaccine Group, University of Oxford, Oxford, Oxfordshire, UK
| | - Rachel Craik
- Oxford Vaccine Group, University of Oxford, Oxford, Oxfordshire, UK
| | - Yama Mujadidi
- Oxford Vaccine Group, University of Oxford, Oxford, Oxfordshire, UK
| | - Ginny Mounce
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, Oxfordshire, UK
| | - Fenella Roseman
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, Oxfordshire, UK
| | | | - James Bland
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, Oxfordshire, UK
| | - Nazia Taj
- Oxford Screening Laboratory, Department of Clinical Biochemistry, Oxford University Hospitals NHS Foundation Trust, Oxford, Oxfordshire, UK
| | - Ian Smith
- Oxford Screening Laboratory, Department of Clinical Biochemistry, Oxford University Hospitals NHS Foundation Trust, Oxford, Oxfordshire, UK
| | - Anette-Gabriele Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany,Technical University Munich, School of Medicine, Forschergruppe Diabetes at Klinikum rechts der Isar, Munich, Germany
| | - Ezio Bonifacio
- Center for Regenerative Therapies Dresden, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Christiane Winkler
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Florian Haupt
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - John A Todd
- Wellcome Centre for Human Genetics, University of Oxford Nuffield Department of Medicine, Oxford, Oxfordshire, UK,NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Laurent Servais
- Division of Child Neurology, Centre de Références des Maladies Neuromusculaires, Department of Pediatrics, Université de Liège, Liege, Belgium,MDUK Neuromuscular Centre, University of Oxford Department of Paediatrics, Oxford, Oxfordshire, UK
| | - Matthew D Snape
- Oxford Vaccine Group, University of Oxford, Oxford, Oxfordshire, UK,NIHR Oxford Biomedical Research Centre, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Manu Vatish
- Nuffield Department of Women's & Reproductive Health, University of Oxford, Oxford, Oxfordshire, UK .,Wellcome Centre for Human Genetics, University of Oxford Nuffield Department of Medicine, Oxford, Oxfordshire, UK
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Mendis T, Filipova B, Wang JJ, Pietropaolo M, Jackson MW. Affinity purification of serum-derived anti-IA-2 autoantibodies in type 1 diabetes using a novel MBP-IA-2 fusion protein. Biochem Biophys Rep 2022; 33:101413. [PMID: 36578528 PMCID: PMC9791830 DOI: 10.1016/j.bbrep.2022.101413] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 12/05/2022] [Accepted: 12/14/2022] [Indexed: 12/23/2022] Open
Abstract
Autoantibodies targeting epitopes contained within the intracellular domain (IC) of the protein phosphatase-like islet antigen 2 (IA-2) are a common marker of autoimmune type 1 diabetes (T1D), however the isolation of genuine, serum derived anti-IA-2 autoantibodies has proven challenging due to a lack of suitable bioassays. In the current study, an ELISA format was developed for affinity purification of human anti-IA-2ic autoantibodies utilizing a fusion protein (FP) incorporating maltose binding protein and the full-length IA-2IC domain. Using a T1D patient cohort validated for anti-IA-2ic autoantibodies by commercial ELISA, we demonstrate the MBP-IA-2ic FP ELISA detects serum anti-IA-2IC autoantibodies from 3 of 9 IA-2 positive patients. Further to this, a multi-plate MBP-IA-2ic FP ELISA protocol specifically affinity purifies IgG enriched for anti-IA-2ic autoantibodies. Interestingly, serum derived autoantibodies immobilised on the MBP-IA-2ic FP ELISA demonstrate increased Kappa light chain usage when compared to the respective total IgG derived from donor patients, suggesting a clonally restricted repertoire of anti-IA-2ic autoantigen specific B plasma cells is responsible for autoantibodies detect by the MBP-IA-2ic FP ELISA. This study is the first to demonstrate the generation of specific, genuine human derived anti-IA-2ic autoantibodies, thereby facilitating further investigation into the origin and functional significance of IA-2 autoantibodies in T1D.
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Affiliation(s)
- Thilini Mendis
- Department of Immunology, Allergy & Arthritis, Flinders Medical Centre and Flinders University, Bedford Park, 5042, South Australia, Australia
| | - Barbora Filipova
- Department of Immunology, Allergy & Arthritis, Flinders Medical Centre and Flinders University, Bedford Park, 5042, South Australia, Australia
| | - Jing Jing Wang
- Department of Immunology, Allergy & Arthritis, Flinders Medical Centre and Flinders University, Bedford Park, 5042, South Australia, Australia
| | - Massimo Pietropaolo
- Dept of Pathology and Immunology, Baylor College of Medicine, Houston, TX, USA
| | - Michael W. Jackson
- Department of Immunology, Allergy & Arthritis, Flinders Medical Centre and Flinders University, Bedford Park, 5042, South Australia, Australia,Corresponding author. Department of Immunology, Allergy and Arthritis, Flinders University, GPO Box 2100, Adelaide, South Australia, 5001, Australia.
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26
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HERV-K Envelope Protein Induces Long-Lasting Production of Autoantibodies in T1DM Patients at Onset in Comparison to ZNT8 Autoantibodies. Pathogens 2022; 11:pathogens11101188. [PMID: 36297245 PMCID: PMC9607583 DOI: 10.3390/pathogens11101188] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 10/10/2022] [Accepted: 10/11/2022] [Indexed: 11/05/2022] Open
Abstract
Human endogenous retroviruses (HERVs) have been thought of as silent passengers within our genomes, but their reactivation has been linked with several autoimmune diseases, including type 1 diabetes (T1DM). In order to evaluate the potential role of HERVs, in addition to the recognized role of HERV-W, we focused on the debated role of the HERV-K family in T1DM. Therefore, we performed a serological evaluation of IgG antibodies against HERV-K Env epitope (HERV-K Env19−37) in comparison to an important β-cellular autoimmunity biomarker, ZnT8, from plasma samples of Sardinian children at the onset of T1DM, different T1DM groups (1−5 and 6−12 years since diagnosis), and healthy controls (HCs), by an indirect enzyme-linked immunosorbent assay (ELISA). A significant antibody response was observed against HERV-K Env19−37 (p < 0.0001) in T1DM patients compared to HCs, and significantly higher IgG responses were detected in the group at the onset compared to the other T1DM groups and HCs. Unlike the trend of the β-cellular autoimmunity autoantibodies, for HERV-K Env antibodies we observed positive values that persist over time up to 5 years since the onset of T1DM. Our results add new evidence about the presence of antibodies against HERV-K in T1DM, but further investigations are necessary to relate these results with the established role of HERVs, considering the contrasting results for HERV-K.
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27
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Besser REJ, Ng SM, Gregory JW, Dayan CM, Randell T, Barrett T. General population screening for childhood type 1 diabetes: is it time for a UK strategy? Arch Dis Child 2022; 107:790-795. [PMID: 34740879 DOI: 10.1136/archdischild-2021-321864] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2021] [Accepted: 10/18/2021] [Indexed: 12/21/2022]
Abstract
Type 1 diabetes (T1D) is a chronic autoimmune disease of childhood affecting 1:500 children aged under 15 years, with around 25% presenting with life-threatening diabetic ketoacidosis (DKA). While first-degree relatives have the highest risk of T1D, more than 85% of children who develop T1D do not have a family history. Despite public health awareness campaigns, DKA rates have not fallen over the last decade. T1D has a long prodrome, and it is now possible to identify children who go on to develop T1D with a high degree of certainty. The reasons for identifying children presymptomatically include prevention of DKA and related morbidities and mortality, reducing the need for hospitalisation, time to provide emotional support and education to ensure a smooth transition to insulin treatment, and opportunities for new treatments to prevent or delay progression. Research studies of population-based screening strategies include using islet autoantibodies alone or in combination with genetic risk factors, both of which can be measured from a capillary sample. If found during screening, the presence of two or more islet autoantibodies has a high positive predictive value for future T1D in childhood (under 18 years), offering an opportunity for DKA prevention. However, a single time-point test will not identify all children who go on to develop T1D, and so combining with genetic risk factors for T1D may be an alternative approach. Here we discuss the pros and cons of T1D screening in the UK, the different strategies available, the knowledge gaps and why a T1D screening strategy is needed.
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Affiliation(s)
- Rachel Elizabeth Jane Besser
- Department of Paediatric Diabetes and Endocrinology, NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, UK .,Wellcome Centre for Human Genetics, University of Oxford, Oxford, UK
| | - Sze May Ng
- Paediatric Department, Southport and Ormskirk NHS Trust, Ormskirk, UK.,Department of Women's and Children's Health, University of Liverpool, Liverpool, UK
| | - John W Gregory
- Division of Population Health, School of Medicine, Cardiff University, Cardiff, UK
| | - Colin M Dayan
- Clinical Diabetes and Metabolism, Cardiff University School of Medicine, Cardiff, UK
| | | | - Timothy Barrett
- Diabetes Unit, Institute of Child Health, Birmingham Women's and Children's Hospital, Birmingham, UK
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Frazzei G, van Vollenhoven RF, de Jong BA, Siegelaar SE, van Schaardenburg D. Preclinical Autoimmune Disease: a Comparison of Rheumatoid Arthritis, Systemic Lupus Erythematosus, Multiple Sclerosis and Type 1 Diabetes. Front Immunol 2022; 13:899372. [PMID: 35844538 PMCID: PMC9281565 DOI: 10.3389/fimmu.2022.899372] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 05/30/2022] [Indexed: 12/16/2022] Open
Abstract
The preclinical phase of autoimmune disorders is characterized by an initial asymptomatic phase of varying length followed by nonspecific signs and symptoms. A variety of autoimmune and inflammatory manifestations can be present and tend to increase in the last months to years before a clinical diagnosis can be made. The phenotype of an autoimmune disease depends on the involved organs, the underlying genetic susceptibility and pathophysiological processes. There are different as well as shared genetic or environmental risk factors and pathophysiological mechanisms between separate diseases. To shed more light on this, in this narrative review we compare the preclinical disease course of four important autoimmune diseases with distinct phenotypes: rheumatoid arthritis (RA), Systemic Lupus Erythematosus (SLE), multiple sclerosis (MS) and type 1 diabetes (T1D). In general, we observed some notable similarities such as a North-South gradient of decreasing prevalence, a female preponderance (except for T1D), major genetic risk factors at the HLA level, partly overlapping cytokine profiles and lifestyle risk factors such as obesity, smoking and stress. The latter risk factors are known to produce a state of chronic systemic low grade inflammation. A central characteristic of all four diseases is an on average lengthy prodromal phase with no or minor symptoms which can last many years, suggesting a gradually evolving interaction between the genetic profile and the environment. Part of the abnormalities may be present in unaffected family members, and autoimmune diseases can also cluster in families. In conclusion, a promising strategy for prevention of autoimmune diseases might be to address adverse life style factors by public health measures at the population level.
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Affiliation(s)
- Giulia Frazzei
- Department of Rheumatology and Clinical Immunology, Amsterdam Rheumatology and Immunology Centre, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
- Department of Experimental Immunology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
- *Correspondence: Giulia Frazzei,
| | - Ronald F. van Vollenhoven
- Department of Rheumatology and Clinical Immunology, Amsterdam Rheumatology and Immunology Centre, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
- Amsterdam Rheumatology Center, Amsterdam, Netherlands
| | - Brigit A. de Jong
- Department of Neurology, MS Center Amsterdam, Amsterdam University Medical Center (UMC), Vrije Universiteit Amsterdam, Amsterdam Neuroscience, Amsterdam, Netherlands
| | - Sarah E. Siegelaar
- Department of Endocrinology and Metabolism, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
| | - Dirkjan van Schaardenburg
- Department of Rheumatology and Clinical Immunology, Amsterdam Rheumatology and Immunology Centre, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
- Amsterdam Rheumatology and Immunology Center, Reade, Amsterdam, Netherlands
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29
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Sims EK, Besser RE, Dayan C, Geno Rasmussen C, Greenbaum C, Griffin KJ, Hagopian W, Knip M, Long AE, Martin F, Mathieu C, Rewers M, Steck AK, Wentworth JM, Rich SS, Kordonouri O, Ziegler AG, Herold KC. Screening for Type 1 Diabetes in the General Population: A Status Report and Perspective. Diabetes 2022; 71:610-623. [PMID: 35316839 PMCID: PMC9114719 DOI: 10.2337/dbi20-0054] [Citation(s) in RCA: 66] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2021] [Accepted: 01/05/2022] [Indexed: 01/10/2023]
Abstract
Most screening programs to identify individuals at risk for type 1 diabetes have targeted relatives of people living with the disease to improve yield and feasibility. However, ∼90% of those who develop type 1 diabetes do not have a family history. Recent successes in disease-modifying therapies to impact the course of early-stage disease have ignited the consideration of the need for and feasibility of population screening to identify those at increased risk. Existing population screening programs rely on genetic or autoantibody screening, and these have yielded significant information about disease progression and approaches for timing for screening in clinical practice. At the March 2021 Type 1 Diabetes TrialNet Steering Committee meeting, a session was held in which ongoing efforts for screening in the general population were discussed. This report reviews the background of these efforts and the details of those programs. Additionally, we present hurdles that need to be addressed for successful implementation of population screening and provide initial recommendations for individuals with positive screens so that standardized guidelines for monitoring and follow-up can be established.
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Affiliation(s)
- Emily K. Sims
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN
| | - Rachel E.J. Besser
- Department of Paediatrics, National Institute for Health Research Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, U.K
- Wellcome Centre for Human Genetics, University of Oxford, Oxford, U.K
| | - Colin Dayan
- Cardiff University School of Medicine, Cardiff, U.K
| | - Cristy Geno Rasmussen
- Barbara Davis Center for Diabetes, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | | | | | | | - Mikael Knip
- Pediatric Research Center, Children’s Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Tampere Center for Child Health Research, Tampere University Hospital, Tampere, Finland
| | - Anna E. Long
- Bristol Medical School, University of Bristol, Bristol, U.K
| | | | - Chantal Mathieu
- Department of Endocrinology, UZ Gasthuisberg, KU Leuven, Leuven, Belgium
| | - Marian Rewers
- Barbara Davis Center for Diabetes, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - Andrea K. Steck
- Barbara Davis Center for Diabetes, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO
| | - John M. Wentworth
- Departments of Diabetes and Endocrinology and Population Health and Immunity, Royal Melbourne Hospital and Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA
| | - Olga Kordonouri
- Kinder und Jugendkrankenhaus Auf der Bult, Hannover, Germany
| | - Anette-Gabriele Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- School of Medicine, Technical University of Munich, Munich, Germany
| | - Kevan C. Herold
- Department of Immunobiology and Department of Internal Medicine, Yale University, New Haven, CT
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Personalized Immunotherapies for Type 1 Diabetes: Who, What, When, and How? J Pers Med 2022; 12:jpm12040542. [PMID: 35455658 PMCID: PMC9031881 DOI: 10.3390/jpm12040542] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 03/18/2022] [Accepted: 03/23/2022] [Indexed: 02/06/2023] Open
Abstract
Our understanding of the immunopathological features of type 1 diabetes (T1D) has greatly improved over the past two decades and has shed light on disease heterogeneity dictated by multiple immune, metabolic, and clinical parameters. This may explain the limited effects of immunotherapies tested so far to durably revert or prevent T1D, for which life-long insulin replacement remains the only therapeutic option. In the era of omics and precision medicine, offering personalized treatment could contribute to turning this tide. Here, we discuss how to structure the selection of the right patient at the right time for the right treatment. This individualized therapeutic approach involves enrolling patients at a defined disease stage depending on the target and mode of action of the selected drug, and better stratifying patients based on their T1D endotype, reflecting intrinsic disease aggressiveness and immune context. To this end, biomarker screening will be critical, not only to help stratify patients and disease stage, but also to select the best predicted responders ahead of treatment and at early time points during clinical trials. This strategy could contribute to increase therapeutic efficacy, notably through the selection of drugs with complementary effects, and to further develop precision multi-hit medicine.
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Ng K, Stavropoulos H, Anand V, Veijola R, Toppari J, Maziarz M, Lundgren M, Waugh K, Frohnert BI, Martin F, Hagopian W, Achenbach P. Islet Autoantibody Type-Specific Titer Thresholds Improve Stratification of Risk of Progression to Type 1 Diabetes in Children. Diabetes Care 2022; 45:160-168. [PMID: 34758977 PMCID: PMC8753764 DOI: 10.2337/dc21-0878] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Accepted: 10/16/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To use islet autoantibody titers to improve the estimation of future type 1 diabetes risk in children. RESEARCH DESIGN AND METHODS Prospective cohort studies in Finland, Germany, Sweden, and the U.S. followed 24,662 children at increased genetic or familial risk to develop islet autoimmunity and diabetes. For 1,604 children with confirmed positivity, titers of autoantibodies against insulin (IAA), GAD antibodies (GADA), and insulinoma-associated antigen 2 (IA-2A) were harmonized for diabetes risk analyses. RESULTS Survival analysis from time of confirmed positivity revealed markedly different 5-year diabetes risks associated with IAA (n = 909), GADA (n = 1,076), and IA-2A (n = 714), when stratified by quartiles of titer, ranging from 19% (GADA 1st quartile) to 60% (IA-2A 4th quartile). The minimum titer associated with a maximum difference in 5-year risk differed for each autoantibody, corresponding to the 58.6th, 52.4th, and 10.2nd percentile of children specifically positive for each of IAA, GADA, and IA-2A, respectively. Using these autoantibody type-specific titer thresholds in the 1,481 children with all autoantibodies tested, the 5-year risk conferred by single (n = 954) and multiple (n = 527) autoantibodies could be stratified from 6 to 75% (P < 0.0001). The thresholds effectively identified children with a ≥50% 5-year risk when considering age-specific autoantibody screening (57-65% positive predictive value and 56-74% sensitivity for ages 1-5 years). Multivariable analysis confirmed the significance of associations between the three autoantibody titers and diabetes risk, informing a childhood risk surveillance strategy. CONCLUSIONS This study defined islet autoantibody type-specific titer thresholds that significantly improved type 1 diabetes risk stratification in children.
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Affiliation(s)
- Kenney Ng
- 1IBM Research, Cambridge MA and Yorktown Heights, NY
| | | | - Vibha Anand
- 1IBM Research, Cambridge MA and Yorktown Heights, NY
| | - Riitta Veijola
- 2Department of Pediatrics, PEDEGO Research Unit, University of Oulu and Oulu University Hospital, Oulu, Finland
| | - Jorma Toppari
- 3Institute of Biomedicine and Centre for Population Health Research, University of Turku, Turku, Finland.,4Department of Pediatrics, Turku University Hospital, Turku, Finland
| | - Marlena Maziarz
- 5Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.,6Clinical Research Center, Skåne University Hospital, Malmö, Sweden
| | - Markus Lundgren
- 5Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden.,6Clinical Research Center, Skåne University Hospital, Malmö, Sweden
| | - Kathy Waugh
- 7Barbara Davis Center for Diabetes, University of Colorado, Denver, CO
| | | | | | | | - Peter Achenbach
- 10Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
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Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc22-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc22-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Greaves RB, Chen D, Green EA. Thymic B Cells as a New Player in the Type 1 Diabetes Response. Front Immunol 2021; 12:772017. [PMID: 34745148 PMCID: PMC8566354 DOI: 10.3389/fimmu.2021.772017] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 10/01/2021] [Indexed: 12/27/2022] Open
Abstract
Type 1 diabetes (T1d) results from a sustained autoreactive T and B cell response towards insulin-producing β cells in the islets of Langerhans. The autoreactive nature of the condition has led to many investigations addressing the genetic or cellular changes in primary lymphoid tissues that impairs central tolerance- a key process in the deletion of autoreactive T and B cells during their development. For T cells, these studies have largely focused on medullary thymic epithelial cells (mTECs) critical for the effective negative selection of autoreactive T cells in the thymus. Recently, a new cellular player that impacts positively or negatively on the deletion of autoreactive T cells during their development has come to light, thymic B cells. Normally a small population within the thymus of mouse and man, thymic B cells expand in T1d as well as other autoimmune conditions, reside in thymic ectopic germinal centres and secrete autoantibodies that bind selective mTECs precipitating mTEC death. In this review we will discuss the ontogeny, characteristics and functionality of thymic B cells in healthy and autoimmune settings. Furthermore, we explore how in silico approaches may help decipher the complex cellular interplay of thymic B cells with other cells within the thymic microenvironment leading to new avenues for therapeutic intervention.
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Affiliation(s)
- Richard B Greaves
- Centre for Experimental Medicine and Biomedicine, Hull York Medical School, University of York, York, United Kingdom
| | - Dawei Chen
- Centre for Experimental Medicine and Biomedicine, Hull York Medical School, University of York, York, United Kingdom
| | - E Allison Green
- Centre for Experimental Medicine and Biomedicine, Hull York Medical School, University of York, York, United Kingdom
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Leão IS, Araujo DB, Barone B, Dantas JR, de Souza Nolasco da Silva MV, Soares MO, Kendler DB, Kupfer R, Zajdenverg L, Rodacki M. Ten years follow up of first degree relatives of type 1 diabetes patients: presence of autoimmune biomarkers and the progression to diabetes in a retrospective cohort. ARCHIVES OF ENDOCRINOLOGY AND METABOLISM 2021; 65:436-442. [PMID: 34283897 PMCID: PMC10522178 DOI: 10.20945/2359-3997000000370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 02/15/2021] [Indexed: 06/13/2023]
Abstract
OBJECTIVE The aim of the study was to assess the autoimmunity in first degrees relatives (FDR) of patients with type 1 diabetes (T1DM) and the progression to T1DM after 10 years of follow up in the Brazilian population. METHODS Non-diabetic FDR of T1DM patients were interviewed and blood was drawn for autoantibodies measurement (GADA, IA-2A, IAA, ZnT8A). Serum samples were analyzed by standard radioligand binding assays performed at the Federal University of Rio de Janeiro (GADA, IAA and IA2A), and at the Skäne University Hospital, Sweden (ZnT8A). The FDR were interviewed by phone after 10 years to determine if they had developed T1DM. Descriptive statistical analysis was performed and results were described as means and standard deviation (SD). RESULTS 81 individuals were analyzed. Thirteen subjects had positive autoantibodies associated with T1DM.10 were positive for 1 autoantibody and 3 subjects were positive for multiple autoantibodies (1 of them showed positivity for 2 autoantibodies - GADA, ZnT8A - and the other two were positive for 3 autoantibodies - GADA, IA2A, ZnT8A). The 3 subjects with multiple positive autoantibodies developed T1DM within 10 years. CONCLUSION In Brazilian FDR of T1DM patients, the positivity for multiple autoantibodies indicate a greater chance of progression to T1DM, similar to observed in Caucasians. ZnT8A was helpful in the risk assessment for T1DM development.
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Affiliation(s)
- Isabella Sued Leão
- Departamento de Nutrologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brasil,
| | - Débora Batista Araujo
- Departamento de Nutrologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brasil
| | - Bianca Barone
- Departamento de Nutrologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brasil
| | - Joana Rodrigues Dantas
- Departamento de Nutrologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brasil
| | | | - Marina Oliveira Soares
- Faculdade de Medicina, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brasil
| | - Daniel Barretto Kendler
- Instituto Estadual de Diabetes e Endocrinologia Luiz Capriglione (Iede), Rio de Janeiro, RJ, Brasil
| | - Rosane Kupfer
- Instituto Estadual de Diabetes e Endocrinologia Luiz Capriglione (Iede), Rio de Janeiro, RJ, Brasil
| | - Lenita Zajdenverg
- Departamento de Nutrologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brasil
| | - Melanie Rodacki
- Departamento de Nutrologia, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brasil
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Morse ZJ, Horwitz MS. Virus Infection Is an Instigator of Intestinal Dysbiosis Leading to Type 1 Diabetes. Front Immunol 2021; 12:751337. [PMID: 34721424 PMCID: PMC8554326 DOI: 10.3389/fimmu.2021.751337] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Accepted: 09/28/2021] [Indexed: 12/12/2022] Open
Abstract
In addition to genetic predisposition, environmental determinants contribute to a complex etiology leading to onset of type 1 diabetes (T1D). Multiple studies have established the gut as an important site for immune modulation that can directly impact development of autoreactive cell populations against pancreatic self-antigens. Significant efforts have been made to unravel how changes in the microbiome function as a contributor to autoimmune responses and can serve as a biomarker for diabetes development. Large-scale longitudinal studies reveal that common environmental exposures precede diabetes pathology. Virus infections, particularly those associated with the gut, have been prominently identified as risk factors for T1D development. Evidence suggests recent-onset T1D patients experience pre-existing subclinical enteropathy and dysbiosis leading up to development of diabetes. The start of these dysbiotic events coincide with detection of virus infections. Thus viral infection may be a contributing driver for microbiome dysbiosis and disruption of intestinal homeostasis prior to T1D onset. Ultimately, understanding the cross-talk between viral infection, the microbiome, and the immune system is key for the development of preventative measures against T1D.
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Affiliation(s)
| | - Marc S. Horwitz
- Department of Microbiology and Immunology, University of British Columbia, Vancouver, BC, Canada
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So M, Speake C, Steck AK, Lundgren M, Colman PG, Palmer JP, Herold KC, Greenbaum CJ. Advances in Type 1 Diabetes Prediction Using Islet Autoantibodies: Beyond a Simple Count. Endocr Rev 2021; 42:584-604. [PMID: 33881515 DOI: 10.1210/endrev/bnab013] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Indexed: 02/06/2023]
Abstract
Islet autoantibodies are key markers for the diagnosis of type 1 diabetes. Since their discovery, they have also been recognized for their potential to identify at-risk individuals prior to symptoms. To date, risk prediction using autoantibodies has been based on autoantibody number; it has been robustly shown that nearly all multiple-autoantibody-positive individuals will progress to clinical disease. However, longitudinal studies have demonstrated that the rate of progression among multiple-autoantibody-positive individuals is highly heterogenous. Accurate prediction of the most rapidly progressing individuals is crucial for efficient and informative clinical trials and for identification of candidates most likely to benefit from disease modification. This is increasingly relevant with the recent success in delaying clinical disease in presymptomatic subjects using immunotherapy, and as the field moves toward population-based screening. There have been many studies investigating islet autoantibody characteristics for their predictive potential, beyond a simple categorical count. Predictive features that have emerged include molecular specifics, such as epitope targets and affinity; longitudinal patterns, such as changes in titer and autoantibody reversion; and sequence-dependent risk profiles specific to the autoantibody and the subject's age. These insights are the outworking of decades of prospective cohort studies and international assay standardization efforts and will contribute to the granularity needed for more sensitive and specific preclinical staging. The aim of this review is to identify the dynamic and nuanced manifestations of autoantibodies in type 1 diabetes, and to highlight how these autoantibody features have the potential to improve study design of trials aiming to predict and prevent disease.
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Affiliation(s)
- Michelle So
- Diabetes Clinical Research Program, and Center for Interventional Immunology, Benaroya Research Institute at Virginia Mason, Seattle, WA 98101, USA
| | - Cate Speake
- Diabetes Clinical Research Program, and Center for Interventional Immunology, Benaroya Research Institute at Virginia Mason, Seattle, WA 98101, USA
| | - Andrea K Steck
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO 80045, USA
| | - Markus Lundgren
- Department of Clinical Sciences Malmö, Lund University, Malmö 22200, Sweden
| | - Peter G Colman
- Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Melbourne, Victoria 3050, Australia
| | - Jerry P Palmer
- VA Puget Sound Health Care System, Department of Medicine, University of Washington, Seattle, WA 98108, USA
| | - Kevan C Herold
- Department of Immunobiology, and Department of Internal Medicine, Yale University, New Haven, CT 06520, USA
| | - Carla J Greenbaum
- Diabetes Clinical Research Program, and Center for Interventional Immunology, Benaroya Research Institute at Virginia Mason, Seattle, WA 98101, USA
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Corcos N, Culina S, Deligne C, Lavaud C, You S, Mallone R. Oral Fc-Coupled Preproinsulin Achieves Systemic and Thymic Delivery Through the Neonatal Fc Receptor and Partially Delays Autoimmune Diabetes. Front Immunol 2021; 12:616215. [PMID: 34447366 PMCID: PMC8382691 DOI: 10.3389/fimmu.2021.616215] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Accepted: 07/27/2021] [Indexed: 11/30/2022] Open
Abstract
Tolerogenic vaccinations using beta-cell antigens are attractive for type 1 diabetes prevention, but clinical trials have been disappointing. This is probably due to the late timing of intervention, when multiple auto-antibodies are already present. We therefore devised a strategy to introduce the initiating antigen preproinsulin (PPI) during neonatal life, when autoimmunity is still silent and central tolerance mechanisms, which remain therapeutically unexploited, are more active. This strategy employs an oral administration of PPI-Fc, i.e. PPI fused with an IgG Fc to bind the intestinal neonatal Fc receptor (FcRn) that physiologically delivers maternal antibodies to the offspring during breastfeeding. Neonatal oral PPI-Fc vaccination did not prevent diabetes development in PPI T-cell receptor-transgenic G9C8.NOD mice. However, PPI-Fc was efficiently transferred through the intestinal epithelium in an Fc- and FcRn-dependent manner, was taken up by antigen presenting cells, and reached the spleen and thymus. Although not statistically significant, neonatal oral PPI-Fc vaccination delayed diabetes onset in polyclonal Ins2-/-.NOD mice that spontaneously develop accelerated diabetes. Thus, this strategy shows promise in terms of systemic and thymic antigen delivery via the intestinal FcRn pathway, but the current PPI-Fc formulation/regimen requires further improvements to achieve diabetes prevention.
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Affiliation(s)
- Noémie Corcos
- Université de Paris, Institut Cochin, CNRS, INSERM, Paris, France
| | - Slobodan Culina
- Université de Paris, Institut Cochin, CNRS, INSERM, Paris, France
| | - Claire Deligne
- Université de Paris, Institut Cochin, CNRS, INSERM, Paris, France
| | - Cassandra Lavaud
- Université de Paris, Institut Cochin, CNRS, INSERM, Paris, France
| | - Sylvaine You
- Université de Paris, Institut Cochin, CNRS, INSERM, Paris, France
| | - Roberto Mallone
- Université de Paris, Institut Cochin, CNRS, INSERM, Paris, France.,Assistance Publique Hôpitaux de Paris, Hôpitaux Universitaires de Paris Centre-Université de Paris, Cochin Hospital, Service de Diabétologie et Immunologie Clinique, Paris, France
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Gu Y, Merriman C, Guo Z, Jia X, Wenzlau J, Li H, Li H, Rewers M, Yu L, Fu D. Novel autoantibodies to the β-cell surface epitopes of ZnT8 in patients progressing to type-1 diabetes. J Autoimmun 2021; 122:102677. [PMID: 34130115 PMCID: PMC9029399 DOI: 10.1016/j.jaut.2021.102677] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2021] [Revised: 05/26/2021] [Accepted: 05/29/2021] [Indexed: 11/22/2022]
Abstract
Type 1 diabetes (T1D) is a chronic autoimmune disease characterized by autoimmune destruction of insulin-producing β-cells in pancreatic islets. Seroconversions to islet autoantibodies (IAbs) precede the disease onset by many years, but the role of humoral autoimmunity in the disease initiation and progression are unclear. In the present study, we identified a new IAb directed to the extracellular epitopes of ZnT8 (ZnT8ec) in newly diagnosed patients with T1D, and demonstrated immunofluorescence staining of the surface of human β-cells by autoantibodies to ZnT8ec (ZnT8ecA). With the assay specificity set on 99th percentile of 336 healthy controls, the ZnT8ecA positivity rate was 23.6% (74/313) in patients with T1D. Moreover, 30 children in a longitudinal follow up of clinical T1D development were selected for sequential expression of four major IAbs (IAA, GADA, IA-2A and ZnT8icA). Among them, 10 children were ZnT8ecA positive. Remarkably, ZnT8ecA was the earliest IAb to appear in all 10 children. The identification of ZnT8ec as a cell surface target of humoral autoimmunity in the earliest phase of IAb responses opens a new avenue of investigation into the role of IAbs in the development of β-cell autoimmunity.
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Affiliation(s)
- Yong Gu
- Barbara Davis Center for Diabetes University of Colorado School of Medicine, Aurora, CO, USA
| | - Chengfeng Merriman
- Department of Physiology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Zheng Guo
- Department of Physiology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Xiaofan Jia
- Barbara Davis Center for Diabetes University of Colorado School of Medicine, Aurora, CO, USA
| | - Janet Wenzlau
- Barbara Davis Center for Diabetes University of Colorado School of Medicine, Aurora, CO, USA
| | - Hua Li
- Department of Structural Biology, Van Andel Institute, Grand Rapids, MI, USA
| | - Huilin Li
- Department of Structural Biology, Van Andel Institute, Grand Rapids, MI, USA
| | - Marian Rewers
- Barbara Davis Center for Diabetes University of Colorado School of Medicine, Aurora, CO, USA
| | - Liping Yu
- Barbara Davis Center for Diabetes University of Colorado School of Medicine, Aurora, CO, USA.
| | - Dax Fu
- Department of Physiology, Johns Hopkins School of Medicine, Baltimore, MD, USA.
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Isaacs SR, Foskett DB, Maxwell AJ, Ward EJ, Faulkner CL, Luo JYX, Rawlinson WD, Craig ME, Kim KW. Viruses and Type 1 Diabetes: From Enteroviruses to the Virome. Microorganisms 2021; 9:microorganisms9071519. [PMID: 34361954 PMCID: PMC8306446 DOI: 10.3390/microorganisms9071519] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Revised: 07/12/2021] [Accepted: 07/14/2021] [Indexed: 12/15/2022] Open
Abstract
For over a century, viruses have left a long trail of evidence implicating them as frequent suspects in the development of type 1 diabetes. Through vigorous interrogation of viral infections in individuals with islet autoimmunity and type 1 diabetes using serological and molecular virus detection methods, as well as mechanistic studies of virus-infected human pancreatic β-cells, the prime suspects have been narrowed down to predominantly human enteroviruses. Here, we provide a comprehensive overview of evidence supporting the hypothesised role of enteroviruses in the development of islet autoimmunity and type 1 diabetes. We also discuss concerns over the historical focus and investigation bias toward enteroviruses and summarise current unbiased efforts aimed at characterising the complete population of viruses (the “virome”) contributing early in life to the development of islet autoimmunity and type 1 diabetes. Finally, we review the range of vaccine and antiviral drug candidates currently being evaluated in clinical trials for the prevention and potential treatment of type 1 diabetes.
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Affiliation(s)
- Sonia R. Isaacs
- Faculty of Medicine and Health, School of Women’s and Children’s Health, University of New South Wales, Sydney, NSW 2031, Australia; (S.R.I.); (D.B.F.); (A.J.M.); (E.J.W.); (C.L.F.); (J.Y.X.L.); (W.D.R.); (M.E.C.)
- Virology Research Laboratory, Serology and Virology Division, NSW Health Pathology, Prince of Wales Hospital, Sydney, NSW 2031, Australia
| | - Dylan B. Foskett
- Faculty of Medicine and Health, School of Women’s and Children’s Health, University of New South Wales, Sydney, NSW 2031, Australia; (S.R.I.); (D.B.F.); (A.J.M.); (E.J.W.); (C.L.F.); (J.Y.X.L.); (W.D.R.); (M.E.C.)
- Virology Research Laboratory, Serology and Virology Division, NSW Health Pathology, Prince of Wales Hospital, Sydney, NSW 2031, Australia
| | - Anna J. Maxwell
- Faculty of Medicine and Health, School of Women’s and Children’s Health, University of New South Wales, Sydney, NSW 2031, Australia; (S.R.I.); (D.B.F.); (A.J.M.); (E.J.W.); (C.L.F.); (J.Y.X.L.); (W.D.R.); (M.E.C.)
- Virology Research Laboratory, Serology and Virology Division, NSW Health Pathology, Prince of Wales Hospital, Sydney, NSW 2031, Australia
| | - Emily J. Ward
- Faculty of Medicine and Health, School of Women’s and Children’s Health, University of New South Wales, Sydney, NSW 2031, Australia; (S.R.I.); (D.B.F.); (A.J.M.); (E.J.W.); (C.L.F.); (J.Y.X.L.); (W.D.R.); (M.E.C.)
- Faculty of Medicine and Health, School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Clare L. Faulkner
- Faculty of Medicine and Health, School of Women’s and Children’s Health, University of New South Wales, Sydney, NSW 2031, Australia; (S.R.I.); (D.B.F.); (A.J.M.); (E.J.W.); (C.L.F.); (J.Y.X.L.); (W.D.R.); (M.E.C.)
- Virology Research Laboratory, Serology and Virology Division, NSW Health Pathology, Prince of Wales Hospital, Sydney, NSW 2031, Australia
| | - Jessica Y. X. Luo
- Faculty of Medicine and Health, School of Women’s and Children’s Health, University of New South Wales, Sydney, NSW 2031, Australia; (S.R.I.); (D.B.F.); (A.J.M.); (E.J.W.); (C.L.F.); (J.Y.X.L.); (W.D.R.); (M.E.C.)
- Virology Research Laboratory, Serology and Virology Division, NSW Health Pathology, Prince of Wales Hospital, Sydney, NSW 2031, Australia
| | - William D. Rawlinson
- Faculty of Medicine and Health, School of Women’s and Children’s Health, University of New South Wales, Sydney, NSW 2031, Australia; (S.R.I.); (D.B.F.); (A.J.M.); (E.J.W.); (C.L.F.); (J.Y.X.L.); (W.D.R.); (M.E.C.)
- Virology Research Laboratory, Serology and Virology Division, NSW Health Pathology, Prince of Wales Hospital, Sydney, NSW 2031, Australia
- Faculty of Medicine and Health, School of Medical Sciences, University of New South Wales, Sydney, NSW 2052, Australia
- Faculty of Science, School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW 2052, Australia
| | - Maria E. Craig
- Faculty of Medicine and Health, School of Women’s and Children’s Health, University of New South Wales, Sydney, NSW 2031, Australia; (S.R.I.); (D.B.F.); (A.J.M.); (E.J.W.); (C.L.F.); (J.Y.X.L.); (W.D.R.); (M.E.C.)
- Virology Research Laboratory, Serology and Virology Division, NSW Health Pathology, Prince of Wales Hospital, Sydney, NSW 2031, Australia
- Institute of Endocrinology and Diabetes, Children’s Hospital at Westmead, Sydney, NSW 2145, Australia
- Faculty of Medicine and Health, Discipline of Child and Adolescent Health, University of Sydney, Sydney, NSW 2006, Australia
| | - Ki Wook Kim
- Faculty of Medicine and Health, School of Women’s and Children’s Health, University of New South Wales, Sydney, NSW 2031, Australia; (S.R.I.); (D.B.F.); (A.J.M.); (E.J.W.); (C.L.F.); (J.Y.X.L.); (W.D.R.); (M.E.C.)
- Virology Research Laboratory, Serology and Virology Division, NSW Health Pathology, Prince of Wales Hospital, Sydney, NSW 2031, Australia
- Correspondence: ; Tel.: +61-2-9382-9096
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Bauer W, Gyenesei A, Krętowski A. The Multifactorial Progression from the Islet Autoimmunity to Type 1 Diabetes in Children. Int J Mol Sci 2021; 22:7493. [PMID: 34299114 PMCID: PMC8305179 DOI: 10.3390/ijms22147493] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2021] [Revised: 07/04/2021] [Accepted: 07/09/2021] [Indexed: 12/12/2022] Open
Abstract
Type 1 Diabetes (T1D) results from autoimmune destruction of insulin producing pancreatic ß-cells. This disease, with a peak incidence in childhood, causes the lifelong need for insulin injections and necessitates careful monitoring of blood glucose levels. However, despite the current insulin therapies, it still shortens life expectancy due to complications affecting multiple organs. Recently, the incidence of T1D in childhood has increased by 3-5% per year in most developed Western countries. The heterogeneity of the disease process is supported by the findings of follow-up studies started early in infancy. The development of T1D is usually preceded by the appearance of autoantibodies targeted against antigens expressed in the pancreatic islets. The risk of T1D increases significantly with an increasing number of positive autoantibodies. The order of autoantibody appearance affects the disease risk. Genetic susceptibility, mainly defined by the human leukocyte antigen (HLA) class II gene region and environmental factors, is important in the development of islet autoimmunity and T1D. Environmental factors, mainly those linked to the changes in the gut microbiome as well as several pathogens, especially viruses, and diet are key modulators of T1D. The aim of this paper is to expand the understanding of the aetiology and pathogenesis of T1D in childhood by detailed description and comparison of factors affecting the progression from the islet autoimmunity to T1D in children.
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Affiliation(s)
- Witold Bauer
- Clinical Research Centre, Medical University of Białystok, Marii Skłodowskiej-Curie 24a, 15-276 Białystok, Poland; (A.G.); (A.K.)
| | - Attila Gyenesei
- Clinical Research Centre, Medical University of Białystok, Marii Skłodowskiej-Curie 24a, 15-276 Białystok, Poland; (A.G.); (A.K.)
- Szentágothai Research Centre, University of Pécs, Ifjúság útja 20, 7624 Pécs, Hungary
| | - Adam Krętowski
- Clinical Research Centre, Medical University of Białystok, Marii Skłodowskiej-Curie 24a, 15-276 Białystok, Poland; (A.G.); (A.K.)
- Department of Endocrinology, Diabetology and Internal Medicine, Medical University of Białystok, Marii Skłodowskiej-Curie 24a, 15-276 Białystok, Poland
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Torun A, Hupalowska A, Trzonkowski P, Kierkus J, Pyrzynska B. Intestinal Microbiota in Common Chronic Inflammatory Disorders Affecting Children. Front Immunol 2021; 12:642166. [PMID: 34163468 PMCID: PMC8215716 DOI: 10.3389/fimmu.2021.642166] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 05/24/2021] [Indexed: 12/12/2022] Open
Abstract
The incidence and prevalence rate of chronic inflammatory disorders is on the rise in the pediatric population. Recent research indicates the crucial role of interactions between the altered intestinal microbiome and the immune system in the pathogenesis of several chronic inflammatory disorders in children, such as inflammatory bowel disease (IBD) and autoimmune diseases, such as type 1 diabetes mellitus (T1DM) and celiac disease (CeD). Here, we review recent knowledge concerning the pathogenic mechanisms underlying these disorders, and summarize the facts suggesting that the initiation and progression of IBD, T1DM, and CeD can be partially attributed to disturbances in the patterns of composition and abundance of the gut microbiota. The standard available therapies for chronic inflammatory disorders in children largely aim to treat symptoms. Although constant efforts are being made to maximize the quality of life for children in the long-term, sustained improvements are still difficult to achieve. Additional challenges are the changing physiology associated with growth and development of children, a population that is particularly susceptible to medication-related adverse effects. In this review, we explore new promising therapeutic approaches aimed at modulation of either gut microbiota or the activity of the immune system to induce a long-lasting remission of chronic inflammatory disorders. Recent preclinical studies and clinical trials have evaluated new approaches, for instance the adoptive transfer of immune cells, with genetically engineered regulatory T cells expressing antigen-specific chimeric antigen receptors. These approaches have revolutionized cancer treatments and have the potential for the protection of high-risk children from developing autoimmune diseases and effective management of inflammatory disorders. The review also focuses on the findings of studies that indicate that the responses to a variety of immunotherapies can be enhanced by strategic manipulation of gut microbiota, thus emphasizing on the importance of proper interaction between the gut microbiota and immune system for sustained health benefits and improvement of the quality of life of pediatric patients.
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Affiliation(s)
- Anna Torun
- Chair and Department of Biochemistry, Medical University of Warsaw, Warsaw, Poland
| | - Anna Hupalowska
- Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, MA, United States
| | - Piotr Trzonkowski
- Department of Medical Immunology, Medical University of Gdansk, Gdansk, Poland
| | - Jaroslaw Kierkus
- Department of Gastroenterology, Hepatology, Feeding Disorders and Pediatrics, The Children's Memorial Health Institute, Warsaw, Poland
| | - Beata Pyrzynska
- Chair and Department of Biochemistry, Medical University of Warsaw, Warsaw, Poland
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42
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Greenbaum CJ. A Key to T1D Prevention: Screening and Monitoring Relatives as Part of Clinical Care. Diabetes 2021; 70:1029-1037. [PMID: 33931405 PMCID: PMC8173797 DOI: 10.2337/db20-1112] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 02/23/2021] [Indexed: 12/22/2022]
Abstract
The 2019 report of a randomized, placebo-controlled clinical trial demonstrating that immune therapy can delay the onset of clinical type 1 diabetes (T1D) in antibody-positive relatives by a median of 2 years stands out as a landmark in the decades-long effort to prevent T1D. With this important step achieved, it is now time to consider what is needed to bring disease-modifying therapy for prevention or delay of T1D to clinical use from this point. Long considered a chicken and egg problem (why screen for T1D risk when we have no therapy, and how can we develop therapies without more screening), we now have the opportunity to break this impasse. The purpose of this article is to place this clinical trial result in context, highlighting key foundational studies leading to this accomplishment, addressing the current gaps, and suggesting that a key next step for prevention of T1D is to screen and monitor relatives for T1D risk in the context of clinical care.
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Assfalg R, Knoop J, Hoffman KL, Pfirrmann M, Zapardiel-Gonzalo JM, Hofelich A, Eugster A, Weigelt M, Matzke C, Reinhardt J, Fuchs Y, Bunk M, Weiss A, Hippich M, Halfter K, Hauck SM, Hasford J, Petrosino JF, Achenbach P, Bonifacio E, Ziegler AG. Oral insulin immunotherapy in children at risk for type 1 diabetes in a randomised controlled trial. Diabetologia 2021; 64:1079-1092. [PMID: 33515070 PMCID: PMC8012335 DOI: 10.1007/s00125-020-05376-1] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Accepted: 11/12/2020] [Indexed: 12/13/2022]
Abstract
AIMS/HYPOTHESIS Oral administration of antigen can induce immunological tolerance. Insulin is a key autoantigen in childhood type 1 diabetes. Here, oral insulin was given as antigen-specific immunotherapy before the onset of autoimmunity in children from age 6 months to assess its safety and immune response actions on immunity and the gut microbiome. METHODS A phase I/II randomised controlled trial was performed in a single clinical study centre in Germany. Participants were 44 islet autoantibody-negative children aged 6 months to 2.99 years who had a first-degree relative with type 1 diabetes and a susceptible HLA DR4-DQ8-containing genotype. Children were randomised 1:1 to daily oral insulin (7.5 mg with dose escalation to 67.5 mg) or placebo for 12 months using a web-based computer system. The primary outcome was immune efficacy pre-specified as induction of antibody or T cell responses to insulin and measured in a central treatment-blinded laboratory. RESULTS Randomisation was performed in 44 children. One child in the placebo group was withdrawn after the first study visit and data from 22 insulin-treated and 21 placebo-treated children were analysed. Oral insulin was well tolerated with no changes in metabolic variables. Immune responses to insulin were observed in children who received both insulin (54.5%) and placebo (66.7%), and the trial did not demonstrate an effect on its primary outcome (p = 0.54). In exploratory analyses, there was preliminary evidence that the immune response and gut microbiome were modified by the INS genotype Among children with the type 1 diabetes-susceptible INS genotype (n = 22), antibody responses to insulin were more frequent in insulin-treated (72.7%) as compared with placebo-treated children (18.2%; p = 0.03). T cell responses to insulin were modified by treatment-independent inflammatory episodes. CONCLUSIONS/INTERPRETATION The study demonstrated that oral insulin immunotherapy in young genetically at-risk children was safe, but was not associated with an immune response as predefined in the trial primary outcome. Exploratory analyses suggested that antibody responses to oral insulin may occur in children with a susceptible INS genotype, and that inflammatory episodes may promote the activation of insulin-responsive T cells. TRIAL REGISTRATION Clinicaltrials.gov NCT02547519 FUNDING: The main funding source was the German Center for Diabetes Research (DZD e.V.).
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Affiliation(s)
- Robin Assfalg
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Forschergruppe Diabetes, Technical University Munich, at Klinikum rechts der Isar, Munich, Germany
- German Center for Diabetes Research (DZD), Munich, Germany
| | - Jan Knoop
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
| | - Kristi L Hoffman
- Alkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA
| | - Markus Pfirrmann
- Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Jose Maria Zapardiel-Gonzalo
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
| | - Anna Hofelich
- Forschergruppe Diabetes, Technical University Munich, at Klinikum rechts der Isar, Munich, Germany
| | - Anne Eugster
- Technische Universität Dresden, Center for Regenerative Therapies Dresden, Dresden, Germany
- Paul Langerhans Institute Dresden of the Helmholtz Center Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Marc Weigelt
- Technische Universität Dresden, Center for Regenerative Therapies Dresden, Dresden, Germany
| | - Claudia Matzke
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
| | - Julia Reinhardt
- Technische Universität Dresden, Center for Regenerative Therapies Dresden, Dresden, Germany
| | - Yannick Fuchs
- Technische Universität Dresden, Center for Regenerative Therapies Dresden, Dresden, Germany
| | - Melanie Bunk
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
| | - Andreas Weiss
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
| | - Markus Hippich
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
| | - Kathrin Halfter
- Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Stefanie M Hauck
- Research Unit Protein Science, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
| | - Jörg Hasford
- Institute for Medical Information Processing, Biometry, and Epidemiology, Ludwig-Maximilians-University Munich, Munich, Germany
| | - Joseph F Petrosino
- Alkek Center for Metagenomics and Microbiome Research, Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, TX, USA
| | - Peter Achenbach
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Forschergruppe Diabetes, Technical University Munich, at Klinikum rechts der Isar, Munich, Germany
- German Center for Diabetes Research (DZD), Munich, Germany
| | - Ezio Bonifacio
- German Center for Diabetes Research (DZD), Munich, Germany
- Technische Universität Dresden, Center for Regenerative Therapies Dresden, Dresden, Germany
- Paul Langerhans Institute Dresden of the Helmholtz Center Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Dresden, Germany
- Institute for Diabetes and Obesity, Helmholtz Diabetes Center at Helmholtz Zentrum München, Munich-Neuherberg, Germany
| | - Anette-Gabriele Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany.
- Forschergruppe Diabetes, Technical University Munich, at Klinikum rechts der Isar, Munich, Germany.
- German Center for Diabetes Research (DZD), Munich, Germany.
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Bonifacio E, Weiß A, Winkler C, Hippich M, Rewers MJ, Toppari J, Lernmark Å, She JX, Hagopian WA, Krischer JP, Vehik K, Schatz DA, Akolkar B, Ziegler AG. An Age-Related Exponential Decline in the Risk of Multiple Islet Autoantibody Seroconversion During Childhood. Diabetes Care 2021; 44:dc202122. [PMID: 33627366 PMCID: PMC8929192 DOI: 10.2337/dc20-2122] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Accepted: 01/23/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Islet autoimmunity develops before clinical type 1 diabetes and includes multiple and single autoantibody phenotypes. The objective was to determine age-related risks of islet autoantibodies that reflect etiology and improve screening for presymptomatic type 1 diabetes. RESEARCH DESIGN AND METHODS The Environmental Determinants of Diabetes in the Young study prospectively monitored 8,556 genetically at-risk children at 3- to 6-month intervals from birth for the development of islet autoantibodies and type 1 diabetes. The age-related change in the risk of developing islet autoantibodies was determined using landmark and regression models. RESULTS The 5-year risk of developing multiple islet autoantibodies was 4.3% (95% CI 3.8-4.7) at 7.5 months of age and declined to 1.1% (95% CI 0.8-1.3) at a landmark age of 6.25 years (P < 0.0001). Risk decline was slight or absent in single insulin and GAD autoantibody phenotypes. The influence of sex, HLA, and other susceptibility genes on risk subsided with increasing age and was abrogated by age 6 years. Highest sensitivity and positive predictive value of multiple islet autoantibody phenotypes for type 1 diabetes was achieved by autoantibody screening at 2 years and again at 5-7 years of age. CONCLUSIONS The risk of developing islet autoimmunity declines exponentially with age, and the influence of major genetic factors on this risk is limited to the first few years of life.
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Affiliation(s)
- Ezio Bonifacio
- Center for Regenerative Therapies Dresden, Faculty of Medicine, TU Dresden, Dresden, Germany
- Paul Langerhans Institute Dresden of the Helmholtz Center Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, TU Dresden, Dresden, Germany
| | - Andreas Weiß
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
| | - Christiane Winkler
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Forschergruppe Diabetes e.V. at Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
| | - Markus Hippich
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
| | - Marian J. Rewers
- Barbara Davis Center for Childhood Diabetes, University of Colorado, Aurora, CO
| | - Jorma Toppari
- Department of Pediatrics, Turku University Hospital, and Research Centre for Integrative Physiology and Pharmacology, Institute of Biomedicine, University of Turku, Turku, Finland
| | - Åke Lernmark
- Department of Clinical Sciences, Lund University/CRC, Skåne University Hospital (SUS), Malmo, Sweden
| | - Jin-Xiong She
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA
| | | | - Jeffrey P. Krischer
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL
| | - Kendra Vehik
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL
| | - Desmond A. Schatz
- Department of Pediatrics, University of Florida Diabetes Institute, Gainesville, FL
| | - Beena Akolkar
- National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD
| | - Anette-Gabriele Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Forschergruppe Diabetes e.V. at Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Forschergruppe Diabetes, Technical University Munich, at Klinikum rechts der Isar, Munich, Germany
- German Center for Diabetes Research (DZD e.V.), Munich, Germany
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Pearson JA, McKinney EF, Walker LSK. 100 years post-insulin: immunotherapy as the next frontier in type 1 diabetes. IMMUNOTHERAPY ADVANCES 2021; 1:ltab024. [PMID: 35156097 PMCID: PMC8826223 DOI: 10.1093/immadv/ltab024] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Revised: 11/15/2021] [Accepted: 11/20/2021] [Indexed: 02/03/2023] Open
Abstract
Type 1 diabetes (T1D) is an autoimmune disease characterised by T cell-mediated destruction of the insulin-producing β cells in the pancreas. Similar to other autoimmune diseases, the incidence of T1D is increasing globally. The discovery of insulin 100 years ago dramatically changed the outlook for people with T1D, preventing this from being a fatal condition. As we celebrate the centenary of this milestone, therapeutic options for T1D are once more at a turning point. Years of effort directed at developing immunotherapies are finally starting to pay off, with signs of progress in new onset and even preventative settings. Here, we review a selection of immunotherapies that have shown promise in preserving β cell function and highlight future considerations for immunotherapy in the T1D setting.
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Affiliation(s)
- James A Pearson
- Diabetes Research Group, Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, Wales, UK
| | - Eoin F McKinney
- Cambridge Institute of Therapeutic Immunology and Infectious Disease, Jeffrey Cheah Biomedical Centre, Cambridge, England, UK
- Department of Medicine, University of Cambridge School of Clinical Medicine, Cambridge, England, UK
- Cambridge Centre for Artificial Intelligence in Medicine, University of Cambridge, Cambridge, England, UK
| | - Lucy S K Walker
- Division of Infection and Immunity, Institute or Immunity and Transplantation, University College London, Royal Free Campus, London, UK
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Abstract
The American Diabetes Association (ADA) "Standards of Medical Care in Diabetes" includes the ADA's current clinical practice recommendations and is intended to provide the components of diabetes care, general treatment goals and guidelines, and tools to evaluate quality of care. Members of the ADA Professional Practice Committee, a multidisciplinary expert committee (https://doi.org/10.2337/dc21-SPPC), are responsible for updating the Standards of Care annually, or more frequently as warranted. For a detailed description of ADA standards, statements, and reports, as well as the evidence-grading system for ADA's clinical practice recommendations, please refer to the Standards of Care Introduction (https://doi.org/10.2337/dc21-SINT). Readers who wish to comment on the Standards of Care are invited to do so at professional.diabetes.org/SOC.
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Pöllänen PM, Ryhänen SJ, Toppari J, Ilonen J, Vähäsalo P, Veijola R, Siljander H, Knip M. Dynamics of Islet Autoantibodies During Prospective Follow-Up From Birth to Age 15 Years. J Clin Endocrinol Metab 2020; 105:5901133. [PMID: 32882033 PMCID: PMC7686032 DOI: 10.1210/clinem/dgaa624] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Accepted: 08/31/2020] [Indexed: 01/23/2023]
Abstract
CONTEXT We set out to characterize the dynamics of islet autoantibodies over the first 15 years of life in children carrying genetic susceptibility to type 1 diabetes (T1D). We also assessed systematically the role of zinc transporter 8 autoantibodies (ZnT8A) in this context. DESIGN HLA-predisposed children (N = 1006, 53.0% boys) recruited from the general population during 1994 to 1997 were observed from birth over a median time of 14.9 years (range, 1.9-15.5 years) for ZnT8A, islet cell (ICA), insulin (IAA), glutamate decarboxylase (GADA), and islet antigen-2 (IA-2A) antibodies, and for T1D. RESULTS By age 15.5 years, 35 (3.5%) children had progressed to T1D. Islet autoimmunity developed in 275 (27.3%) children at a median age of 7.4 years (range, 0.3-15.1 years). The ICA seroconversion rate increased toward puberty, but the biochemically defined autoantibodies peaked at a young age. Before age 2 years, ZnT8A and IAA appeared commonly as the first autoantibody, but in the preschool years IA-2A- and especially GADA-initiated autoimmunity increased. Thereafter, GADA-positive seroconversions continued to appear steadily until ages 10 to 15 years. Inverse IAA seroconversions occurred frequently (49.3% turned negative) and marked a prolonged delay from seroconversion to diagnosis compared to persistent IAA (8.2 vs 3.4 years; P = .01). CONCLUSIONS In HLA-predisposed children, the primary autoantibody is characteristic of age and might reflect the events driving the disease process toward clinical T1D. Autoantibody persistence affects the risk of T1D. These findings provide a framework for identifying disease subpopulations and for personalizing the efforts to predict and prevent T1D.
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Affiliation(s)
- Petra M Pöllänen
- Pediatric Research Center, Children’s Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Samppa J Ryhänen
- Pediatric Research Center, Children’s Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Jorma Toppari
- Department of Pediatrics, Turku University Hospital, and Institute of Biomedicine and Centre for Population Health Research, University of Turku, Turku, Finland
| | - Jorma Ilonen
- Immunogenetics Laboratory, Institute of Biomedicine, University of Turku and Clinical Microbiology, Turku University Hospital, Turku, Finland
| | - Paula Vähäsalo
- Department of Pediatrics, PEDEGO Research Group, Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Riitta Veijola
- Department of Pediatrics, PEDEGO Research Group, Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Heli Siljander
- Pediatric Research Center, Children’s Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Mikael Knip
- Pediatric Research Center, Children’s Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Tampere Center for Child Health Research, Tampere University Hospital, Tampere, Finland
- Folkhälsan Research Center, Helsinki, Finland
- Correspondence and Reprint Requests: Mikael Knip, MD, PhD, Children’s Hospital, University of Helsinki, P.O. Box 22 (Stenbäckinkatu 11), FI-00014 Helsinki, Finland. E-mail:
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48
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Kuusela S, Keskinen P, Pokka T, Knip M, Ilonen J, Vähäsalo P, Veijola R. Extended family history of type 1 diabetes in HLA-predisposed children with and without islet autoantibodies. Pediatr Diabetes 2020; 21:1447-1456. [PMID: 32939969 PMCID: PMC7702069 DOI: 10.1111/pedi.13122] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/28/2020] [Revised: 07/29/2020] [Accepted: 08/28/2020] [Indexed: 01/05/2023] Open
Abstract
OBJECTIVE The aim of this study was to explore the extended family history of type 1 diabetes in children at genetic risk and define the impact of a positive family history on the development of islet autoimmunity and type 1 diabetes. METHODS The subjects were participants in The Finnish Type 1 Diabetes Prediction and Prevention (DIPP) study and carried increased HLA-conferred risk for type 1 diabetes. The case children (N = 343) were positive for at least one islet autoantibody, and the control children (N = 343) matched by age, gender and class II HLA genotype were negative for islet autoantibodies at the time of data collection. Extended family history of type 1 diabetes was obtained by using a structured questionnaire. RESULTS Among children who were autoantibody positive and progressed to type 1 diabetes 62.2% (28/45) had at least one relative with type 1 diabetes. Interestingly, 57.8% of these children (26/45) had such a relative outside the nuclear family compared to 30.7% of children with no autoantibodies (P = .001), 35.2% of those with only classical islet cell antibodies (P = .006), and 35.2% of non-progressors with biochemical autoantibodies (P = 0.011). A positive history of type 1 diabetes in the paternal extended family was more common in children with multiple biochemical autoantibodies compared to those with only one biochemical autoantibody (P = .010). No association between the specificity of the first appearing autoantibody and family history of the disease was found. CONCLUSIONS Type 1 diabetes in relatives outside the nuclear family is a significant risk factor for islet autoimmunity and progression to clinical disease in HLA susceptible children.
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Affiliation(s)
- Salla Kuusela
- Department of Pediatrics, PEDEGO Research Unit, Medical Research CenterUniversity of OuluOuluFinland,Department for Children and Adolescents, Medical Research CenterOulu University HospitalOuluFinland,Department for Children and AdolescentsTampere University HospitalTampereFinland
| | - Päivi Keskinen
- Department for Children and AdolescentsTampere University HospitalTampereFinland,Tampere Centre for Child Health ResearchTampere University HospitalTampereFinland
| | - Tytti Pokka
- Department of Pediatrics, PEDEGO Research Unit, Medical Research CenterUniversity of OuluOuluFinland,Department for Children and Adolescents, Medical Research CenterOulu University HospitalOuluFinland
| | - Mikael Knip
- Tampere Centre for Child Health ResearchTampere University HospitalTampereFinland,Children's HospitalUniversity of Helsinki and Helsinki University HospitalHelsinkiFinland,Research Programs for Clinical and Molecular Metabolism, Faculty of MedicineUniversity of HelsinkiHelsinkiFinland,Folkhälsan Research CenterHelsinkiFinland
| | - Jorma Ilonen
- Immunogenetics LaboratoryUniversity of TurkuTurkuFinland
| | - Paula Vähäsalo
- Department of Pediatrics, PEDEGO Research Unit, Medical Research CenterUniversity of OuluOuluFinland,Department for Children and Adolescents, Medical Research CenterOulu University HospitalOuluFinland
| | - Riitta Veijola
- Department of Pediatrics, PEDEGO Research Unit, Medical Research CenterUniversity of OuluOuluFinland,Department for Children and Adolescents, Medical Research CenterOulu University HospitalOuluFinland
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Al Theyab A, Almutairi T, Al-Suwaidi AM, Bendriss G, McVeigh C, Chaari A. Epigenetic Effects of Gut Metabolites: Exploring the Path of Dietary Prevention of Type 1 Diabetes. Front Nutr 2020; 7:563605. [PMID: 33072796 PMCID: PMC7541812 DOI: 10.3389/fnut.2020.563605] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Accepted: 08/26/2020] [Indexed: 12/12/2022] Open
Abstract
Type 1 diabetes (T1D) has increased over the past half century and has now become the second most frequent autoimmune disease in childhood and one of major public health concern worldwide. Evidence suggests that modern lifestyles and rapid environmental changes are driving factors that underlie this increase. The integration of these two factors brings about changes in food intake. This, in turn, alters epigenetic regulations of the genome and intestinal microbiota composition, which may ultimately play a role in pathogenesis of T1D. Recent evidence shows that dysbiosis of the gut microbiota is closely associated with T1D and that a dietary intervention can influence epigenetic changes associated with this disease and may modify gene expression patterns through epigenetic mechanisms. In this review focus on how a diet can shape the gut microbiome, its effect on the epigenome in T1D, and the future of T1D management by microbiome therapy.
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Affiliation(s)
| | | | | | | | | | - Ali Chaari
- Premedical Division, Weill Cornell Medicine Qatar, Doha, Qatar
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50
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Lord S, Greenbaum CJ. Insulin is necessary but not sufficient: changing the therapeutic paradigm in type 1 diabetes. F1000Res 2020; 9. [PMID: 32789003 PMCID: PMC7400689 DOI: 10.12688/f1000research.21801.1] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/21/2020] [Indexed: 01/07/2023] Open
Abstract
Despite the clear evidence that type 1 diabetes (T1D) begins well before hyperglycemia is evident, there are no clinically available disease-modifying therapies for early-stage disease. However, following the exciting results of the Teplizumab Prevention Study, the first study to demonstrate that overt T1D can be delayed with immunotherapy, there is renewed optimism that in the future, T1D will be treated before hyperglycemia develops. A different treatment paradigm is needed, as a majority of people with T1D do not meet the glycemic targets that are associated with a lower risk of T1D complications and therefore remain vulnerable to complications and shortened life expectancy. The following review will outline the history and current status of immunotherapy for T1D and highlight some challenges and ideas for the future. Although such efforts have been worldwide, we will focus particularly on the activities of Diabetes TrialNet, a National Institutes of Health consortium launched in 2004.
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Affiliation(s)
- Sandra Lord
- Benaroya Research Institute at Virginia Mason, Seattle, WA, 98101, USA
| | - Carla J Greenbaum
- Benaroya Research Institute at Virginia Mason, Seattle, WA, 98101, USA
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