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Phillip M, Achenbach P, Addala A, Albanese-O'Neill A, Battelino T, Bell KJ, Besser REJ, Bonifacio E, Colhoun HM, Couper JJ, Craig ME, Danne T, de Beaufort C, Dovc K, Driscoll KA, Dutta S, Ebekozien O, Larsson HE, Feiten DJ, Frohnert BI, Gabbay RA, Gallagher MP, Greenbaum CJ, Griffin KJ, Hagopian W, Haller MJ, Hendrieckx C, Hendriks E, Holt RIG, Hughes L, Ismail HM, Jacobsen LM, Johnson SB, Kolb LE, Kordonouri O, Lange K, Lash RW, Lernmark Å, Libman I, Lundgren M, Maahs DM, Marcovecchio ML, Mathieu C, Miller KM, O'Donnell HK, Oron T, Patil SP, Pop-Busui R, Rewers MJ, Rich SS, Schatz DA, Schulman-Rosenbaum R, Simmons KM, Sims EK, Skyler JS, Smith LB, Speake C, Steck AK, Thomas NPB, Tonyushkina KN, Veijola R, Wentworth JM, Wherrett DK, Wood JR, Ziegler AG, DiMeglio LA. Consensus guidance for monitoring individuals with islet autoantibody-positive pre-stage 3 type 1 diabetes. Diabetologia 2024:10.1007/s00125-024-06205-5. [PMID: 38910151 DOI: 10.1007/s00125-024-06205-5] [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] [Indexed: 06/25/2024]
Abstract
Given the proven benefits of screening to reduce diabetic ketoacidosis (DKA) likelihood at the time of stage 3 type 1 diabetes diagnosis, and emerging availability of therapy to delay disease progression, type 1 diabetes screening programmes are being increasingly emphasised. Once broadly implemented, screening initiatives will identify significant numbers of islet autoantibody-positive (IAb+) children and adults who are at risk of (confirmed single IAb+) or living with (multiple IAb+) early-stage (stage 1 and stage 2) type 1 diabetes. These individuals will need monitoring for disease progression; much of this care will happen in non-specialised settings. To inform this monitoring, JDRF in conjunction with international experts and societies developed consensus guidance. Broad advice from this guidance includes the following: (1) partnerships should be fostered between endocrinologists and primary-care providers to care for people who are IAb+; (2) when people who are IAb+ are initially identified there is a need for confirmation using a second sample; (3) single IAb+ individuals are at lower risk of progression than multiple IAb+ individuals; (4) individuals with early-stage type 1 diabetes should have periodic medical monitoring, including regular assessments of glucose levels, regular education about symptoms of diabetes and DKA, and psychosocial support; (5) interested people with stage 2 type 1 diabetes should be offered trial participation or approved therapies; and (6) all health professionals involved in monitoring and care of individuals with type 1 diabetes have a responsibility to provide education. The guidance also emphasises significant unmet needs for further research on early-stage type 1 diabetes to increase the rigour of future recommendations and inform clinical care.
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Affiliation(s)
- Moshe Phillip
- Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
- Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Peter Achenbach
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Forschergruppe Diabetes, Technical University Munich, Klinikum Rechts Der Isar, Munich, Germany
| | - Ananta Addala
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
- Stanford Diabetes Research Center, Stanford University School of Medicine, Stanford, CA, USA
| | | | - Tadej Battelino
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
- Department of Endocrinology, Diabetes and Metabolism, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Kirstine J Bell
- Charles Perkins Centre and Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Rachel E J Besser
- JDRF/Wellcome Diabetes and Inflammation Laboratory, Wellcome Centre Human Genetics, Nuffield Department of Medicine Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
- Department of Paediatrics, University of Oxford, Oxford, UK
| | - Ezio Bonifacio
- Center for Regenerative Therapies Dresden, Faculty of Medicine, Technical University of Dresden, Dresden, Germany
- Paul Langerhans Institute Dresden, Helmholtz Centre Munich at the University Clinic Carl Gustav Carus of TU Dresden and Faculty of Medicine, Dresden, Germany
| | - Helen M Colhoun
- The Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- Department of Public Health, NHS Fife, Kirkcaldy, UK
| | - Jennifer J Couper
- Robinson Research Institute, The University of Adelaide, Adelaide, SA, Australia
- Adelaide Medical School, The University of Adelaide, Adelaide, SA, Australia
- Division of Paediatrics, Women's and Children's Hospital, Adelaide, SA, Australia
| | - Maria E Craig
- Charles Perkins Centre and Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
- Discipline of Paediatrics & Child Health, School of Clinical Medicine, UNSW Medicine & Health, Sydney, NSW, Australia
| | | | - Carine de Beaufort
- International Society for Pediatric and Adolescent Diabetes (ISPAD), Berlin, Germany
- Diabetes & Endocrine Care Clinique Pédiatrique (DECCP), Clinique Pédiatrique/Centre Hospitalier (CH) de Luxembourg, Luxembourg City, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-Belval, Luxembourg
| | - Klemen Dovc
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
- Department of Endocrinology, Diabetes and Metabolism, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Kimberly A Driscoll
- Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA
- Department of Pediatrics, University of Florida Diabetes Institute, Gainesville, FL, USA
| | | | | | - Helena Elding Larsson
- Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
- Department of Pediatrics, Skåne University Hospital, Malmö and Lund, Sweden
| | | | - Brigitte I Frohnert
- Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | | | - Carla J Greenbaum
- Center for Interventional Immunology and Diabetes Program, Benaroya Research Institute, Seattle, WA, USA
| | - Kurt J Griffin
- Sanford Research, Sioux Falls, SD, USA
- Department of Pediatrics, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA
| | - William Hagopian
- Pacific Northwest Diabetes Research Institute, University of Washington, Seattle, WA, USA
| | - Michael J Haller
- Department of Pediatrics, University of Florida Diabetes Institute, Gainesville, FL, USA
- Division of Endocrinology, University of Florida College of Medicine, Gainesville, FL, USA
| | - Christel Hendrieckx
- School of Psychology, Deakin University, Geelong, VIC, Australia
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Victoria, Carlton, VIC, Australia
- Institute for Health Transformation, Deakin University, Geelong, VIC, Australia
| | - Emile Hendriks
- Department of Paediatrics, University of Cambridge and Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, UK
| | - Richard I G Holt
- Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, UK
- National Institute for Health and Care Research Biomedical Research Centre, University Hospital Southampton NHS Foundation Trust, Southampton, UK
| | | | - Heba M Ismail
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Laura M Jacobsen
- Division of Endocrinology, University of Florida College of Medicine, Gainesville, FL, USA
| | - Suzanne B Johnson
- Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Tallahassee, FL, USA
| | - Leslie E Kolb
- Association of Diabetes Care & Education Specialists, Chicago, IL, USA
| | | | - Karin Lange
- Medical Psychology, Hannover Medical School, Hannover, Germany
| | | | - Åke Lernmark
- Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
| | - Ingrid Libman
- Division of Pediatric Endocrinology and Diabetes, University of Pittsburgh, UPMC Children's Hospital of Pittsburgh, Pittsburgh, PA, USA
| | - Markus Lundgren
- Department of Clinical Sciences, Malmö, Lund University, Lund, Sweden
- Department of Pediatrics, Kristianstad Hospital, Kristianstad, Sweden
| | - David M Maahs
- Division of Endocrinology, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - M Loredana Marcovecchio
- Department of Pediatrics, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Chantal Mathieu
- Department of Endocrinology, UZ Gasthuisberg, KU Leuven, Leuven, Belgium
| | | | - Holly K O'Donnell
- Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Tal Oron
- Institute for Endocrinology and Diabetes, National Center for Childhood Diabetes, Schneider Children's Medical Center of Israel, Petah Tikva, Israel
- Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv, Israel
| | - Shivajirao P Patil
- Department of Family Medicine, Brody School of Medicine, East Carolina University, Greenville, NC, USA
| | - Rodica Pop-Busui
- Department of Internal Medicine, Division of Metabolism, Endocrinology and Diabetes, University of Michigan, Ann Arbor, MI, USA
| | - Marian J Rewers
- Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Desmond A Schatz
- Department of Pediatrics, University of Florida, Gainesville, FL, USA
| | - Rifka Schulman-Rosenbaum
- Division of Endocrinology, Long Island Jewish Medical Center, Northwell Health, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, New Hyde Park, NY, USA
| | - Kimber M Simmons
- Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, 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, USA
| | - Jay S Skyler
- Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Laura B Smith
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Cate Speake
- Center for Interventional Immunology and Diabetes Program, Benaroya Research Institute, Seattle, WA, USA
| | - Andrea K Steck
- Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | | | - Ksenia N Tonyushkina
- Division of Endocrinology and Diabetes, Baystate Children's Hospital and University of Massachusetts Chan Medical School - Baystate, Springfield, MA, USA
| | - Riitta Veijola
- Research Unit of Clinical Medicine, Department of Pediatrics, Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - John M Wentworth
- The Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia
- Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Parkville, VIC, Australia
| | - Diane K Wherrett
- Department of Paediatrics, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Jamie R Wood
- Department of Pediatric Endocrinology, Rainbow Babies and Children's Hospital, University Hospitals Cleveland Medical Center, Cleveland, OH, USA
| | - Anette-Gabriele Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Forschergruppe Diabetes, Technical University Munich, Klinikum Rechts Der Isar, Munich, Germany
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Mattila M, Takkinen HM, Peltonen EJ, Vuorinen AL, Niinistö S, Metsälä J, Ahonen S, Åkerlund M, Hakola L, Toppari J, Ilonen J, Veijola R, Haahtela T, Knip M, Virtanen SM. Fruit, berry, and vegetable consumption and the risk of islet autoimmunity and type 1 diabetes in children-the Type 1 Diabetes Prediction and Prevention birth cohort study. Am J Clin Nutr 2024; 119:537-545. [PMID: 38142920 PMCID: PMC10884602 DOI: 10.1016/j.ajcnut.2023.12.014] [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: 04/24/2023] [Revised: 11/30/2023] [Accepted: 12/19/2023] [Indexed: 12/26/2023] Open
Abstract
BACKGROUND Prospective studies investigating the association among fruit, berry, and vegetable consumption and the risk of islet autoimmunity (IA) and type 1 diabetes (T1D) are few. OBJECTIVES In this cohort study, we explored whether the consumption of fruits, berries, and vegetables is associated with the IA and T1D development in genetically susceptible children. METHODS Food consumption data in the Finnish Type 1 Diabetes Prediction and Prevention (DIPP) cohort study were available from 5674 children born between September 1996 and September 2004 in the Oulu and Tampere University Hospitals. Diet was assessed with 3-d food records at the age of 3 and 6 mo and annually from 1 to 6 y. The association between food consumption and the risk of IA and T1D was analyzed using joint models adjusted for energy intake, sex, human leukocyte antigen (HLA) genotype, and a family history of diabetes. RESULTS During the 6-y follow-up, 247 children (4.4%) developed IA and 94 (1.7%) T1D. Furthermore, 64 of 505 children with at least 1 repeatedly positive autoantibody (12.7%) progressed from islet autoantibody positivity to T1D. The consumption of cruciferous vegetables was associated with decreased risk of IA [hazard ratio (HR): 0.83; 95% credible intervals (CI): 0.72, 0.95, per 1 g/MJ increase in consumption] and the consumption of berries with decreased risk of T1D (0.60; 0.47, 0.89). The consumption of banana was associated with increased risk of IA (1.08; 1.04, 1.12) and T1D (1.11; 1.01, 1.21). Only the association between banana and IA remain significant after multiple testing correction. CONCLUSIONS In children genetically at risk for T1D, the consumption of cruciferous vegetables was associated with decreased risk of IA and consumption of berries with decreased risk of T1D. In addition, the consumption of banana was associated with increased risk of IA and T1D.
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Affiliation(s)
- Markus Mattila
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland; Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland; Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.
| | - Hanna-Mari Takkinen
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland; Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland; Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Essi J Peltonen
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland; Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland
| | - Anna-Leena Vuorinen
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland; Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland; Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland; Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Sari Niinistö
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland; Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland; Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Johanna Metsälä
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Suvi Ahonen
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland; Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland; Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Mari Åkerlund
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland; Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland; Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Leena Hakola
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland; Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland
| | - Jorma Toppari
- Institute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, and Centre for Population Health Research, University of Turku, Turku, Finland; Turku University Hospital, Department of Pediatrics, Turku, Finland
| | - Jorma Ilonen
- Immunogenetics Laboratory, Institute of Biomedicine, University of Turku, Turku, Finland
| | - Riitta Veijola
- Department of Pediatrics, PEDEGO Research Unit, Medical Research Center, University of Oulu, Oulu, Finland; Oulu University Hospital, Department of Children and Adolescents, Oulu, Finland
| | - Tari Haahtela
- Skin and Allergy Hospital, Helsinki University Hospital, Helsinki, Finland
| | - Mikael Knip
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Tampere University Hospital, Department of Pediatrics, Tampere, Finland
| | - Suvi M Virtanen
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland; Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland; Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland; Center for Child Health Research, Tampere University and Tampere University Hospital, Tampere, Finland
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3
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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. 3. Prevention or Delay of Diabetes and Associated Comorbidities: Standards of Care in Diabetes-2024. Diabetes Care 2024; 47:S43-S51. [PMID: 38078581 PMCID: PMC10725807 DOI: 10.2337/dc24-s003] [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] [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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Elhassan S, Dong F, Buckner T, Johnson RK, Seifert JA, Carry PM, Vanderlinden L, Waugh K, Rewers M, Norris JM. Investigating iron intake in risk of progression from islet autoimmunity to type 1 diabetes: The diabetes autoimmunity study in the young. Front Immunol 2023; 14:1124370. [PMID: 37056761 PMCID: PMC10086157 DOI: 10.3389/fimmu.2023.1124370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2022] [Accepted: 03/15/2023] [Indexed: 03/30/2023] Open
Abstract
Background Studies of the role of iron in the risk of type 1 diabetes (T1D) have been inconsistent. Given that iron generates reactive oxygen radicals, which can lead to oxidative damage and apoptosis in the beta cells of the pancreas, we examined whether iron intake was associated with the risk of progressing to T1D in individuals with islet autoimmunity (IA), the pre-clinical phase of T1D. Methods DAISY is a prospective cohort following 2,547 children at increased risk for IA and progression to T1D. IA is defined as at least two consecutive serum samples positive for at least one autoantibody (insulin, GAD, IA-2, or ZnT8). We measured dietary intake at the time of IA seroconversion in 175 children with IA, and of these, 64 progressed to T1D. We used Cox regression to examine the association between energy-adjusted iron intake and progression to T1D, adjusting for HLA-DR3/4 genotype, race/ethnicity, age at seroconversion, presence of multiple autoantibodies at seroconversion, and multiple vitamin use. In addition, we tested whether this association was modified by vitamin C or calcium intake. Results In children with IA, high iron intake (as defined as above the 75th percentile, > 20.3 mg/day) was associated with decreased risk of progression to T1D compared to moderate iron intake (as defined by the middle 25-75th percentiles, 12.7-20.3 mg/day) (adjusted hazard ratio (HR): 0.35; 95% confidence interval (CI): 0.15, 0.79). The association between iron intake and T1D was not modified by vitamin C nor calcium intake. In a sensitivity analysis, the removal of six children who had been diagnosed with celiac disease prior to IA seroconversion did not affect this association. Conclusion Higher iron intake at the time of IA seroconversion is associated with a lower risk of progression to T1D, independent of multivitamin supplement use. Further research that includes plasma biomarkers of iron status is needed to investigate the relationship between iron and the risk of T1D.
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Affiliation(s)
- Sulafa Elhassan
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Fran Dong
- Barbara Davis Center for Diabetes, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Teresa Buckner
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
- Department of Kinesiology, Nutrition, and Dietetics, University of Northern Colorado, Greeley, CO, United States
| | - Randi K. Johnson
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
- Department of Biomedical Informatics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Jennifer A. Seifert
- Department of Medicine, Division of Rheumatology, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Patrick M. Carry
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
- Colorado Program for Musculoskeletal Research, Department of Orthopedics, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Lauren Vanderlinden
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Kathleen Waugh
- Barbara Davis Center for Diabetes, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Marian Rewers
- Barbara Davis Center for Diabetes, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
| | - Jill M. Norris
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
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Buckner T, Johnson RK, Vanderlinden LA, Carry PM, Romero A, Onengut-Gumuscu S, Chen WM, Fiehn O, Frohnert BI, Crume T, Perng W, Kechris K, Rewers M, Norris JM. An Oxylipin-Related Nutrient Pattern and Risk of Type 1 Diabetes in the Diabetes Autoimmunity Study in the Young (DAISY). Nutrients 2023; 15:945. [PMID: 36839302 PMCID: PMC9962656 DOI: 10.3390/nu15040945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2023] [Revised: 02/06/2023] [Accepted: 02/09/2023] [Indexed: 02/16/2023] Open
Abstract
Oxylipins, pro-inflammatory and pro-resolving lipid mediators, are associated with the risk of type 1 diabetes (T1D) and may be influenced by diet. This study aimed to develop a nutrient pattern related to oxylipin profiles and test their associations with the risk of T1D among youth. The nutrient patterns were developed with a reduced rank regression in a nested case-control study (n = 335) within the Diabetes Autoimmunity Study in the Young (DAISY), a longitudinal cohort of children at risk of T1D. The oxylipin profiles (adjusted for genetic predictors) were the response variables. The nutrient patterns were tested in the case-control study (n = 69 T1D cases, 69 controls), then validated in the DAISY cohort using a joint Cox proportional hazards model (n = 1933, including 81 T1D cases). The first nutrient pattern (NP1) was characterized by low beta cryptoxanthin, flavanone, vitamin C, total sugars and iron, and high lycopene, anthocyanidins, linoleic acid and sodium. After adjusting for T1D family history, the HLA genotype, sex and race/ethnicity, NP1 was associated with a lower risk of T1D in the nested case-control study (OR: 0.44, p = 0.0126). NP1 was not associated with the risk of T1D (HR: 0.54, p-value = 0.1829) in the full DAISY cohort. Future studies are needed to confirm the nested case-control findings and investigate the modifiable factors for oxylipins.
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Affiliation(s)
- Teresa Buckner
- Department of Epidemiology, Colorado School of Public Health, CU Anschutz, Anschutz Medical Campus, Aurora, CO 80045, USA
- Department of Kinesiology, Nutrition, and Dietetics, University of Northern Colorado, Greeley, CO 80639, USA
| | - Randi K. Johnson
- Department of Epidemiology, Colorado School of Public Health, CU Anschutz, Anschutz Medical Campus, Aurora, CO 80045, USA
- Department of Biomedical Informatics, CU School of Medicine, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Lauren A. Vanderlinden
- Department of Epidemiology, Colorado School of Public Health, CU Anschutz, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Patrick M. Carry
- Department of Epidemiology, Colorado School of Public Health, CU Anschutz, Anschutz Medical Campus, Aurora, CO 80045, USA
- Colorado Program for Musculoskeletal Research, Department of Orthopedics, CU School of Medicine, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Alex Romero
- Department of Biomedical Informatics, CU School of Medicine, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Suna Onengut-Gumuscu
- Health Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22903, USA
| | - Wei-Min Chen
- Health Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22903, USA
| | - Oliver Fiehn
- NIH-West Coast Metabolomics Center, University of California-Davis, Davis, CA 95616, USA
| | - Brigitte I. Frohnert
- Department of Epidemiology, Colorado School of Public Health, CU Anschutz, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Tessa Crume
- Department of Epidemiology, Colorado School of Public Health, CU Anschutz, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Wei Perng
- Department of Epidemiology, Colorado School of Public Health, CU Anschutz, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Katerina Kechris
- Department of Epidemiology, Colorado School of Public Health, CU Anschutz, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Marian Rewers
- Department of Epidemiology, Colorado School of Public Health, CU Anschutz, Anschutz Medical Campus, Aurora, CO 80045, USA
| | - Jill M. Norris
- Department of Epidemiology, Colorado School of Public Health, CU Anschutz, Anschutz Medical Campus, Aurora, CO 80045, USA
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Achenbach P, Hippich M, Zapardiel-Gonzalo J, Karges B, Holl RW, Petrera A, Bonifacio E, Ziegler AG. A classification and regression tree analysis identifies subgroups of childhood type 1 diabetes. EBioMedicine 2022; 82:104118. [PMID: 35803018 PMCID: PMC9270253 DOI: 10.1016/j.ebiom.2022.104118] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Revised: 06/04/2022] [Accepted: 06/06/2022] [Indexed: 12/22/2022] Open
Abstract
Background Diabetes in childhood and adolescence includes autoimmune and non-autoimmune forms with heterogeneity in clinical and biochemical presentations. An unresolved question is whether there are subtypes, endotypes, or theratypes within these forms of diabetes. Methods The multivariable classification and regression tree (CART) analysis method was used to identify subgroups of diabetes with differing residual C-peptide levels in patients with newly diagnosed diabetes before 20 years of age (n=1192). The robustness of the model was assessed in a confirmation and prognosis cohort (n=2722). Findings The analysis selected age, haemoglobin A1c (HbA1c), and body mass index (BMI) as split parameters that classified patients into seven islet autoantibody-positive and three autoantibody-negative groups. There were substantial differences in genetics, inflammatory markers, diabetes family history, lipids, 25-OH-Vitamin D3, insulin treatment, insulin sensitivity and insulin autoimmunity among the groups, and the method stratified patients with potentially different pathogeneses and prognoses. Interferon-ɣ and/or tumour necrosis factor inflammatory signatures were enriched in the youngest islet autoantibody-positive groups and in patients with the lowest C-peptide values, while higher BMI and type 2 diabetes characteristics were found in older patients. The prognostic relevance was demonstrated by persistent differences in HbA1c at 7 years median follow-up. Interpretation This multivariable analysis revealed subgroups of young patients with diabetes that have potential pathogenetic and therapeutic relevance. Funding The work was supported by funds from the German Federal Ministry of Education and Research (01KX1818; FKZ 01GI0805; DZD e.V.), the Innovative Medicine Initiative 2 Joint Undertaking INNODIA (grant agreement No. 115797), the German Robert Koch Institute, and the German Diabetes Association.
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Affiliation(s)
- Peter Achenbach
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany; German Center for Diabetes Research (DZD), Munich, Germany; Technical University Munich, School of Medicine, Forschergruppe Diabetes at Klinikum rechts der Isar, Munich, Germany
| | - Markus Hippich
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany; German Center for Diabetes Research (DZD), Munich, Germany
| | - Jose Zapardiel-Gonzalo
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
| | - Beate Karges
- Division of Endocrinology and Diabetes, Medical Faculty, RWTH Aachen University, D 52074 Aachen, Germany
| | - Reinhard W Holl
- German Center for Diabetes Research (DZD), Munich, Germany; Institute of Epidemiology and Medical Biometry, ZIBMT, University of Ulm, D 89081 Ulm, Germany
| | - Agnese Petrera
- Research Unit Protein Science and Metabolomics and Proteomics Core Facility, Helmholtz Zentrum Munich - German Research Center for Environmental Health, Neuherberg, Germany
| | - Ezio Bonifacio
- German Center for Diabetes Research (DZD), Munich, Germany; DFG Center for Regenerative Therapies Dresden, Faculty of Medicine, Technische Universität Dresden, Dresden, Germany; Institute for Diabetes and Obesity, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany
| | - Anette-G Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany; German Center for Diabetes Research (DZD), Munich, Germany; Technical University Munich, School of Medicine, Forschergruppe Diabetes at Klinikum rechts der Isar, Munich, Germany.
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7
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Childhood body size directly increases type 1 diabetes risk based on a lifecourse Mendelian randomization approach. Nat Commun 2022; 13:2337. [PMID: 35484151 PMCID: PMC9051135 DOI: 10.1038/s41467-022-29932-y] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 04/08/2022] [Indexed: 12/14/2022] Open
Abstract
The rising prevalence of childhood obesity has been postulated as an explanation for the increasing rate of individuals diagnosed with type 1 diabetes (T1D). In this study, we use Mendelian randomization (MR) to provide evidence that childhood body size has an effect on T1D risk (OR = 2.05 per change in body size category, 95% CI = 1.20 to 3.50, P = 0.008), which remains after accounting for body size at birth and during adulthood using multivariable MR (OR = 2.32, 95% CI = 1.21 to 4.42, P = 0.013). We validate this direct effect of childhood body size using data from a large-scale T1D meta-analysis based on n = 15,573 cases and n = 158,408 controls (OR = 1.94, 95% CI = 1.21 to 3.12, P = 0.006). We also provide evidence that childhood body size influences risk of asthma, eczema and hypothyroidism, although multivariable MR suggested that these effects are mediated by body size in later life. Our findings support a causal role for higher childhood body size on risk of being diagnosed with T1D, whereas its influence on the other immune-associated diseases is likely explained by a long-term effect of remaining overweight for many years over the lifecourse. The rise in type 1 diabetes is thought to be related to increased childhood obesity, but this relationship is not well understood. In this study, the authors utilize Mendelian randomization to separate the direct and indirect effects of childhood body size on risk of type 1 diabetes and 7 other immune-associated disease outcomes.
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8
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Khilji MS, Faridi P, Pinheiro-Machado E, Hoefner C, Dahlby T, Aranha R, Buus S, Nielsen M, Klusek J, Mandrup-Poulsen T, Pandey K, Purcell AW, Marzec MT. Defective Proinsulin Handling Modulates the MHC I Bound Peptidome and Activates the Inflammasome in β-Cells. Biomedicines 2022; 10:biomedicines10040814. [PMID: 35453564 PMCID: PMC9024965 DOI: 10.3390/biomedicines10040814] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 03/23/2022] [Accepted: 03/28/2022] [Indexed: 12/04/2022] Open
Abstract
How immune tolerance is lost to pancreatic β-cell peptides triggering autoimmune type 1 diabetes is enigmatic. We have shown that loss of the proinsulin chaperone glucose-regulated protein (GRP) 94 from the endoplasmic reticulum (ER) leads to mishandling of proinsulin, ER stress, and activation of the immunoproteasome. We hypothesize that inadequate ER proinsulin folding capacity relative to biosynthetic need may lead to an altered β-cell major histocompatibility complex (MHC) class-I bound peptidome and inflammasome activation, sensitizing β-cells to immune attack. We used INS-1E cells with or without GRP94 knockout (KO), or in the presence or absence of GRP94 inhibitor PU-WS13 (GRP94i, 20 µM), or exposed to proinflammatory cytokines interleukin (IL)-1β or interferon gamma (IFNγ) (15 pg/mL and 10 ng/mL, respectively) for 24 h. RT1.A (rat MHC I) expression was evaluated using flow cytometry. The total RT1.A-bound peptidome analysis was performed on cell lysates fractionated by reverse-phase high-performance liquid chromatography (RP-HPLC), followed by liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS). The nucleotide-binding oligomerization domain, leucine rich repeat and pyrin domain containing protein (NLRP1), nuclear factor of kappa light polypeptide gene enhancer in B-cells inhibitor alpha (IκBα), and (pro) IL-1β expression and secretion were investigated by Western blotting. GRP94 KO increased RT1.A expression in β-cells, as did cytokine exposure compared to relevant controls. Immunopeptidome analysis showed increased RT1.A-bound peptide repertoire in GRP94 KO/i cells as well as in the cells exposed to cytokines. The GRP94 KO/cytokine exposure groups showed partial overlap in their peptide repertoire. Notably, proinsulin-derived peptide diversity increased among the total RT1.A peptidome in GRP94 KO/i along with cytokines exposure. NLRP1 expression was upregulated in GRP94 deficient cells along with decreased IκBα content while proIL-1β cellular levels declined, coupled with increased secretion of mature IL-1β. Our results suggest that limiting β-cell proinsulin chaperoning enhances RT1.A expression alters the MHC-I peptidome including proinsulin peptides and activates inflammatory pathways, suggesting that stress associated with impeding proinsulin handling may sensitize β-cells to immune-attack.
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Affiliation(s)
- Muhammad Saad Khilji
- Department of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark; (M.S.K.); (C.H.); (T.M.-P.)
- Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3168, Australia; (R.A.); (K.P.)
- Department of Physiology, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan
| | - Pouya Faridi
- Department of Medicine, School of Clinical Sciences, Monash Univesity, Clayton, VIC 3168, Australia;
| | - Erika Pinheiro-Machado
- Department of Pathology and Medical Biology, University Medical Center Groningen, University of Groningen, 9713 Groningen, The Netherlands;
| | - Carolin Hoefner
- Department of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark; (M.S.K.); (C.H.); (T.M.-P.)
| | - Tina Dahlby
- Laboratory of Translational Nutrition Biology, Department of Health Sciences and Technology, Institute of Food, Nutrition and Health, ETH Zürich, 8603 Zürich, Switzerland;
| | - Ritchlynn Aranha
- Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3168, Australia; (R.A.); (K.P.)
| | - Søren Buus
- Department of Immunology and Microbiology, University of Copenhagen, 2200 Copenhagen, Denmark;
| | - Morten Nielsen
- Department of Health Technology, Section for Bioinformatics, Technical University of Denmark, 2800 Lyngby, Denmark;
- Instituto de Investigaciones Biotecnológicas, Universidad Nacional de San Martín, San Martín CP1650, Argentina
| | - Justyna Klusek
- Laboratory of Medical Genetics, Department of Surgical Medicine, Collegium Medicum, Jan Kochanowski University, 25-369 Kielce, Poland;
| | - Thomas Mandrup-Poulsen
- Department of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark; (M.S.K.); (C.H.); (T.M.-P.)
| | - Kirti Pandey
- Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3168, Australia; (R.A.); (K.P.)
| | - Anthony W. Purcell
- Department of Biochemistry and Molecular Biology, Biomedicine Discovery Institute, Monash University, Clayton, VIC 3168, Australia; (R.A.); (K.P.)
- Correspondence: (A.W.P.); (M.T.M.); Tel.: +61-39-902-9265 (A.W.P.); +45-25-520-256 (M.T.M.)
| | - Michal T. Marzec
- Department of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark; (M.S.K.); (C.H.); (T.M.-P.)
- Institute of Health Sciences, Collegium Medicum, Jan Kochanowski University, 25-002 Kielce, Poland
- Correspondence: (A.W.P.); (M.T.M.); Tel.: +61-39-902-9265 (A.W.P.); +45-25-520-256 (M.T.M.)
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Li X, Wang L, Meng G, Chen X, Yang S, Zhang M, Zheng Z, Zhou J, Lan Z, Wu Y, Wang L. Sustained high glucose intake accelerates type 1 diabetes in NOD mice. Front Endocrinol (Lausanne) 2022; 13:1037822. [PMID: 36545340 PMCID: PMC9760976 DOI: 10.3389/fendo.2022.1037822] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2022] [Accepted: 11/18/2022] [Indexed: 12/11/2022] Open
Abstract
INTRODUCTION Epidemiological studies have suggested that dietary factors, especially high consumption of high glycaemic index carbohydrates and sugars, may trigger or exacerbate the progression of type 1 diabetes. We aimed to provide experimental evidence to confirm this relevance and to explore the underlying mechanisms. METHODS NOD mice were given sustained high-glucose drinking or glucose-free water and observed for the incidence of type 1 diabetes and islet inflammation. RNAseq was performed to detect the transcriptome changes of the NOD islet beta cell line NIT-1 after high glucose treatment, and mass spectrometry was performed to detect the proteome changes of NIT-1-cells-derived sEVs. RESULTS Sustained high glucose drinking significantly aggravates islet inflammation and accelerates the onset of type 1 diabetes in NOD mice. Mechanistically, high glucose treatment induces aberrant ER stress and up-regulates the expression of autoantigens in islet beta cell. Moreover, high glucose treatment alters the proteome of beta-cells-derived sEVs, and significantly enhances the ability of sEVs to promote DC maturation and stimulate immune inflammatory response. DISCUSSION This study provides evidence for negative effect of high glucose intake as a dietary factor on the pathogenesis of type 1 diabetes in genetically predisposed individuals. Therefore, avoiding high sugar intake may be an effective disease prevention strategy for children or adults susceptible to type 1 diabetes.
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Affiliation(s)
- Xiangqian Li
- Institute of Immunology People's Liberation Army (PLA) & Department of Immunology, College of Basic Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Lina Wang
- Institute of Immunology People's Liberation Army (PLA) & Department of Immunology, College of Basic Medicine, Army Medical University (Third Military Medical University), Chongqing, China
- Department of Immunology, College of Basic Medicine, Qingdao University. Qingdao, Shandong, China
- Department of Immunology, College of Basic Medicine, Weifang Medical University, Weifang, China
| | - Gang Meng
- Department of Pathology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Xiaoling Chen
- Institute of Immunology People's Liberation Army (PLA) & Department of Immunology, College of Basic Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Shushu Yang
- Institute of Immunology People's Liberation Army (PLA) & Department of Immunology, College of Basic Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Mengjun Zhang
- Department of Pharmaceutical Analysis, College of Pharmacy, Army Medical University (Third Military Medical University), Chongqing, China
| | - Zhengni Zheng
- Department of Dermatology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Jie Zhou
- Department of Dermatology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China
| | - Zhu Lan
- Institute of Immunology People's Liberation Army (PLA) & Department of Immunology, College of Basic Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Yuzhang Wu
- Institute of Immunology People's Liberation Army (PLA) & Department of Immunology, College of Basic Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Li Wang
- Institute of Immunology People's Liberation Army (PLA) & Department of Immunology, College of Basic Medicine, Army Medical University (Third Military Medical University), Chongqing, China
- *Correspondence: Li Wang,
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10
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Hamilton-Williams EE, Lorca GL, Norris JM, Dunne JL. A Triple Threat? The Role of Diet, Nutrition, and the Microbiota in T1D Pathogenesis. Front Nutr 2021; 8:600756. [PMID: 33869260 PMCID: PMC8046917 DOI: 10.3389/fnut.2021.600756] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2020] [Accepted: 03/08/2021] [Indexed: 12/11/2022] Open
Abstract
In recent years the role of the intestinal microbiota in health and disease has come to the forefront of medical research. Alterations in the intestinal microbiota and several of its features have been linked to numerous diseases, including type 1 diabetes (T1D). To date, studies in animal models of T1D, as well as studies in human subjects, have linked several intestinal microbiota alterations with T1D pathogenesis. Features that are most often linked with T1D pathogenesis include decreased microbial diversity, the relative abundance of specific strains of individual microbes, and altered metabolite production. Alterations in these features as well as others have provided insight into T1D pathogenesis and shed light on the potential mechanism by which the microbiota plays a role in T1D pathogenesis, yet the underlying factors leading to these alterations remains unknown. One potential mechanism for alteration of the microbiota is through diet and nutrition. Previous studies have shown associations of diet with islet autoimmunity, but a direct contributing factor has yet to be identified. Diet, through introduction of antigens and alteration of the composition and function of the microbiota, may elicit the immune system to produce autoreactive responses that result in the destruction of the beta cells. Here, we review the evidence associating diet induced changes in the intestinal microbiota and their contribution to T1D pathogenesis. We further provide a roadmap for determining the effect of diet and other modifiable factors on the entire microbiota ecosystem, including its impact on both immune and beta cell function, as it relates to T1D. A greater understanding of the complex interactions between the intestinal microbiota and several interacting systems in the body (immune, intestinal integrity and function, metabolism, beta cell function, etc.) may provide scientifically rational approaches to prevent development of T1D and other childhood immune and allergic diseases and biomarkers to evaluate the efficacy of interventions.
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Affiliation(s)
- Emma E. Hamilton-Williams
- The University of Queensland Diamantina Institute, The University of Queensland, Woolloongabba, QLD, Australia
| | - Graciela L. Lorca
- Microbiology and Cell Science Department, Genetics Institute, Institute of Food and Agricultural Science, University of Florida, Gainesville, FL, United States
| | - Jill M. Norris
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, United States
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11
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Johnson RK, Vanderlinden LA, DeFelice BC, Uusitalo U, Seifert J, Fan S, Crume T, Fiehn O, Rewers M, Kechris K, Norris JM. Metabolomics-related nutrient patterns at seroconversion and risk of progression to type 1 diabetes. Pediatr Diabetes 2020; 21:1202-1209. [PMID: 32686271 PMCID: PMC7855902 DOI: 10.1111/pedi.13085] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 06/11/2020] [Accepted: 07/15/2020] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE Our aim was to elucidate the role of diet in type 1 diabetes (T1D) by examining combinations of nutrient intake in the progression from islet autoimmunity (IA) to T1D. METHODS We measured 2457 metabolites and dietary intake at the time of seroconversion in 132 IA-positive children in the prospective Diabetes Autoimmunity Study in the Young. IA was defined as the first of two consecutive visits positive for at least one autoantibody (insulin, GAD, IA-2, or ZnT8). By December 2018, 40 children progressed to T1D. Intakes of 38 nutrients were estimated from semiquantitative food frequency questionnaires. We tested the association of each metabolite with progression to T1D using multivariable Cox regression. Nutrient patterns that best explained variation in candidate metabolites were identified using reduced rank regression (RRR), and their association with progression to T1D was tested using Cox regression adjusting for age at seroconversion and high-risk HLA genotype. RESULTS In stepwise selection, 22 nutrients significantly predicted at least two of the 13 most significant metabolites associated with progression to T1D, and were included in RRR. A nutrient pattern corresponding to intake lower in linoleic acid, niacin, and riboflavin, and higher in total sugars, explained 18% of metabolite variability. Children scoring higher on this metabolite-related nutrient pattern at seroconversion had increased risk for progressing to T1D (HR = 3.17, 95%CI = 1.42-7.05). CONCLUSIONS Combinations of nutrient intake reflecting candidate metabolites are associated with increased risk of T1D, and may help focus dietary prevention efforts.
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Affiliation(s)
- Randi K. Johnson
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado,Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Lauren A. Vanderlinden
- Department of Biostatistics & Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Brian C. DeFelice
- UC Davis Genome Center—Metabolomics, University of California Davis, Davis, California
| | - Ulla Uusitalo
- Health Informatics Institute, University of South Florida College of Medicine, Tampa, Florida
| | - Jennifer Seifert
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Sili Fan
- UC Davis Genome Center—Metabolomics, University of California Davis, Davis, California
| | - Tessa Crume
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Oliver Fiehn
- UC Davis Genome Center—Metabolomics, University of California Davis, Davis, California
| | - Marian Rewers
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Katerina Kechris
- Department of Biostatistics & Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Jill M. Norris
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado
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12
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Kirak O, Ke E, Yang KY, Schwarz A, Plate L, Nham A, Abadejos JR, Valencia A, Wiseman RL, Lui KO, Ku M. Premature Activation of Immune Transcription Programs in Autoimmune-Predisposed Mouse Embryonic Stem Cells and Blastocysts. Int J Mol Sci 2020; 21:ijms21165743. [PMID: 32796510 PMCID: PMC7460978 DOI: 10.3390/ijms21165743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 07/27/2020] [Accepted: 08/07/2020] [Indexed: 11/17/2022] Open
Abstract
Autoimmune diabetes is a complex multifactorial disease with genetic and environmental factors playing pivotal roles. While many genes associated with the risk of diabetes have been identified to date, the mechanisms by which external triggers contribute to the genetic predisposition remain unclear. Here, we derived embryonic stem (ES) cell lines from diabetes-prone non-obese diabetic (NOD) and healthy C57BL/6 (B6) mice. While overall pluripotency markers were indistinguishable between newly derived NOD and B6 ES cells, we discovered several differentially expressed genes that normally are not expressed in ES cells. Several genes that reside in previously identified insulin-dependent diabetics (Idd) genomic regions were up-regulated in NOD ES cells. Gene set enrichment analysis showed that different groups of genes associated with immune functions are differentially expressed in NOD. Transcriptomic analysis of NOD blastocysts validated several differentially overexpressed Idd genes compared to B6. Genome-wide mapping of active histone modifications using ChIP-Seq supports active expression as the promoters and enhancers of activated genes are also marked by active histone modifications. We have also found that NOD ES cells secrete more inflammatory cytokines. Our data suggest that the known genetic predisposition of NOD to autoimmune diabetes leads to epigenetic instability of several Idd regions.
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Affiliation(s)
- Oktay Kirak
- Department of Immunology and Microbial Science, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA; (A.S.); (A.N.); (J.R.A.); (A.V.)
- Division of Pediatric Hematology and Oncology, Department of Pediatrics and Adolescent Medicine, Faculty of Medicine, Medical Center—University of Freiburg, Mathildenstraße 1, 79106 Freiburg, Germany
- Correspondence: (O.K.); (M.K.)
| | - Eugene Ke
- Salk Institute for Biological Studies, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA;
| | - Kevin Y. Yang
- Department of Chemical Pathology and Li Ka Shing Institute of Health Sciences, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China; (K.Y.Y.); (K.O.L.)
| | - Anna Schwarz
- Department of Immunology and Microbial Science, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA; (A.S.); (A.N.); (J.R.A.); (A.V.)
| | - Lars Plate
- Department of Molecular Medicine, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA; (L.P.); (R.L.W.)
| | - Amy Nham
- Department of Immunology and Microbial Science, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA; (A.S.); (A.N.); (J.R.A.); (A.V.)
| | - Justin R. Abadejos
- Department of Immunology and Microbial Science, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA; (A.S.); (A.N.); (J.R.A.); (A.V.)
| | - Anna Valencia
- Department of Immunology and Microbial Science, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA; (A.S.); (A.N.); (J.R.A.); (A.V.)
| | - R. Luke Wiseman
- Department of Molecular Medicine, The Scripps Research Institute, 10550 North Torrey Pines Road, La Jolla, CA 92037, USA; (L.P.); (R.L.W.)
| | - Kathy O. Lui
- Department of Chemical Pathology and Li Ka Shing Institute of Health Sciences, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China; (K.Y.Y.); (K.O.L.)
| | - Manching Ku
- Division of Pediatric Hematology and Oncology, Department of Pediatrics and Adolescent Medicine, Faculty of Medicine, Medical Center—University of Freiburg, Mathildenstraße 1, 79106 Freiburg, Germany
- Correspondence: (O.K.); (M.K.)
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Henze MM, Bemis EA, Seifert JA, Johnson RK, Dong F, Rewers M, Norris JM. Association between change in self-reported sugar intake and a sugar biomarker (δ 13C) in children at increased risk for type 1 diabetes. J Nutr Sci 2020; 9:e16. [PMID: 32477498 PMCID: PMC7232120 DOI: 10.1017/jns.2020.9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2019] [Revised: 04/10/2020] [Accepted: 04/15/2020] [Indexed: 01/16/2023] Open
Abstract
We examined whether change in added sugar intake is associated with change in δ13C, a novel sugar biomarker, in thirty-nine children aged 5-10 years selected from a Colorado (USA) prospective cohort of children at increased risk for type 1 diabetes. Reported added sugar intake via FFQ and δ13C in erythrocytes were measured at two time points a median of 2 years apart. Change in added sugar intake was associated with change in the δ13C biomarker, where for every 1-g increase in added sugar intake between the two time points, there was an increase in δ13C of 0⋅0082 (P = 0⋅0053), independent of change in HbA1c and δ15N. The δ13C biomarker may be used as a measure of compliance in an intervention study of children under the age of 10 years who are at increased risk for type 1 diabetes, in which the goal was to reduce dietary sugar intake.
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Affiliation(s)
- Martha M. Henze
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Elizabeth A. Bemis
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Jennifer A. Seifert
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Randi K. Johnson
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Fran Dong
- Department of Pediatrics, The Barbara Davis Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Marian Rewers
- Department of Pediatrics, The Barbara Davis Center, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Jill M. Norris
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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Norris JM, Johnson RK, Stene LC. Type 1 diabetes-early life origins and changing epidemiology. Lancet Diabetes Endocrinol 2020; 8:226-238. [PMID: 31999944 PMCID: PMC7332108 DOI: 10.1016/s2213-8587(19)30412-7] [Citation(s) in RCA: 163] [Impact Index Per Article: 40.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2019] [Revised: 11/25/2019] [Accepted: 11/25/2019] [Indexed: 12/20/2022]
Abstract
Type 1 diabetes is a chronic, immune-mediated disease characterised by the destruction of insulin-producing cells. Standardised registry data show that type 1 diabetes incidence has increased 3-4% over the past three decades, supporting the role of environmental factors. Although several factors have been associated with type 1 diabetes, none of the associations are of a magnitude that could explain the rapid increase in incidence alone. Moreover, evidence of changing prevalence of these exposures over time is insufficient. Multiple factors could simultaneously explain the changing type 1 diabetes incidence, or the magnitude of observed associations could have been underestimated because of exposure measurement error, or the mismodelling of complex exposure-time-response relationships. The identification of environmental factors influencing the risk of type 1 diabetes and increased understanding of the cause at the individual level, regardless of the ability to explain the changing incidence at the population level, is important because of the implications for prevention.
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Affiliation(s)
- Jill M Norris
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA.
| | - Randi K Johnson
- Division of Biomedical Informatics and Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Lars C Stene
- Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health, Oslo, Norway
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Hakola L, Miettinen ME, Syrjälä E, Åkerlund M, Takkinen HM, Korhonen TE, Ahonen S, Ilonen J, Toppari J, Veijola R, Nevalainen J, Knip M, Virtanen SM. Association of Cereal, Gluten, and Dietary Fiber Intake With Islet Autoimmunity and Type 1 Diabetes. JAMA Pediatr 2019; 173:953-960. [PMID: 31403683 PMCID: PMC6692682 DOI: 10.1001/jamapediatrics.2019.2564] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
IMPORTANCE Dietary proteins, such as gluten, have been suggested as triggers of the disease process in type 1 diabetes (T1D). OBJECTIVE To study the associations of cereal, gluten, and dietary fiber intake with the development of islet autoimmunity (IA) and T1D. DESIGN, SETTING, AND PARTICIPANTS The prospective birth cohort Finnish Type 1 Diabetes Prediction and Prevention Study recruited children with genetic susceptibility to type 1 diabetes from September 1996 to September 2004 from 2 university hospitals in Finland and followed up every 3 to 12 months up to 6 years for diet, islet autoantibodies, and T1D. Altogether 6081 infants (78% of those invited) participated in the study. Dietary data were available for 5714 children (94.0%) and dietary and IA data were available for 5545 children (91.2%), of whom 3762 (68%) had data on islet autoantibodies up to age 6 years. Information on T1D was available for all children. Data were analyzed in 2018 and end point data were updated in 2015. EXPOSURES Each child's intake of cereals, gluten, and dietary fiber was calculated from repeated 3-day food records up to 6 years. MAIN OUTCOMES AND MEASURES Islet autoimmunity was defined as repeated positivity for islet cell antibodies and at least 1 biochemical autoantibody of 3 analyzed, or T1D. Data on the diagnosis of T1D were obtained from Finnish Pediatric Diabetes Register. RESULTS Of 5545 children (2950 boys [53.2%]), 246 (4.4%) developed IA and of 5714 children (3033 boys [53.1%]), 90 (1.6%) developed T1D during the 6-year follow-up. Based on joint models, the intake of oats (hazard ratio [HR], 1.08; 95% CI, 1.03-1.13), wheat (HR, 1.09; 95% CI, 1.03-1.15), rye (HR, 1.13; 95% CI, 1.03-1.23), gluten-containing cereals (HR, 1.07; 95% CI, 1.03-1.11), gluten without avenin from oats (HR, 2.23; 95% CI, 1.40-3.57), gluten with avenin (HR, 2.06; 95% CI, 1.45-2.92), and dietary fiber (HR, 1.41; 95% CI, 1.10-1.81) was associated with the risk of developing IA (HRs for 1 g/MJ increase in intake). The intake of oats (HR, 1.10; 95% CI, 1.00-1.21) and rye (HR, 1.20; 95% CI, 1.03-1.41) was associated with the risk of developing T1D. After multiple testing correction, the associations with IA remained statistically significant. CONCLUSIONS AND RELEVANCE A high intake of oats, gluten-containing cereals, gluten, and dietary fiber was associated with an increased risk of IA. Further studies are needed to confirm or rule out the findings and study potential mechanisms.
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Affiliation(s)
- Leena Hakola
- Faculty of Social Sciences, Health Sciences, Tampere University, Tampere, Finland
| | - Maija E. Miettinen
- Faculty of Social Sciences, Health Sciences, Tampere University, Tampere, Finland,Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
| | - Essi Syrjälä
- Faculty of Social Sciences, Health Sciences, Tampere University, Tampere, Finland
| | - Mari Åkerlund
- Faculty of Social Sciences, Health Sciences, Tampere University, Tampere, Finland,Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
| | - Hanna-Mari Takkinen
- Faculty of Social Sciences, Health Sciences, Tampere University, Tampere, Finland,Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
| | - Tuuli E. Korhonen
- Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland
| | - Suvi Ahonen
- Faculty of Social Sciences, Health Sciences, Tampere University, Tampere, Finland,Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland,Tampere University Hospital, Research, Development and Innovation Center, Tampere, Finland
| | - Jorma Ilonen
- Immunogenetics Laboratory, University of Turku and Turku University Hospital, Turku, Finland
| | - Jorma Toppari
- Institute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, University of Turku, Turku, Finland,Department of Pediatrics, Turku University Hospital, Turku, Finland
| | - Riitta Veijola
- Department of Pediatrics, PEDEGO Research Unit, Medical Research Center Oulu, University of Oulu, Oulu, Finland,Oulu University Hospital, Oulu, Finland
| | - Jaakko Nevalainen
- Faculty of Social Sciences, Health Sciences, Tampere University, Tampere, Finland
| | - Mikael Knip
- Children’s Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland,Folkhälsan Research Center, Helsinki, Finland,Research Programs Unit, Diabetes and Obesity, University of Helsinki, Helsinki, Finland,Department of Pediatrics, Tampere University Hospital, Tampere, Finland
| | - Suvi M. Virtanen
- Faculty of Social Sciences, Health Sciences, Tampere University, Tampere, Finland,Department of Public Health Solutions, National Institute for Health and Welfare, Helsinki, Finland,Tampere University Hospital, Research, Development and Innovation Center, Tampere, Finland,Center for Child Health Research, Tampere University, Tampere University Hospital, Tampere, Finland
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Torres J, Burisch J, Riddle M, Dubinsky M, Colombel JF. Preclinical disease and preventive strategies in IBD: perspectives, challenges and opportunities. Gut 2016; 65:1061-9. [PMID: 27196600 DOI: 10.1136/gutjnl-2016-311785] [Citation(s) in RCA: 66] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/03/2016] [Accepted: 04/09/2016] [Indexed: 12/19/2022]
Affiliation(s)
- Joana Torres
- Departments of Medicine and Pediatrics, Susan and Leonard Feinstein IBD Clinical Center Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Johan Burisch
- Departments of Medicine and Pediatrics, Susan and Leonard Feinstein IBD Clinical Center Icahn School of Medicine at Mount Sinai, New York, New York, USA Department of Gastroenterology, North Zealand University Hospital, Frederikssund, Denmark
| | - Mark Riddle
- Enteric Diseases Department, Naval Medical Research Center, Silver Spring, Maryland, USA
| | - Marla Dubinsky
- Departments of Medicine and Pediatrics, Susan and Leonard Feinstein IBD Clinical Center Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Jean-Frédéric Colombel
- Departments of Medicine and Pediatrics, Susan and Leonard Feinstein IBD Clinical Center Icahn School of Medicine at Mount Sinai, New York, New York, USA
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Abstract
The incidence of type 1 diabetes has risen considerably in the past 30 years due to changes in the environment that have been only partially identified. In this Series paper, we critically discuss candidate triggers of islet autoimmunity and factors thought to promote progression from autoimmunity to overt type 1 diabetes. We revisit previously proposed hypotheses to explain the growth in the incidence of type 1 diabetes in light of current data. Finally, we suggest a unified model in which immune tolerance to β cells can be broken by several environmental exposures that induce generation of hybrid peptides acting as neoautoantigens.
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Affiliation(s)
- Marian Rewers
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO, USA
| | - Johnny Ludvigsson
- Division of Pediatrics, Department of Clinical and Experimental Medicine, Medical Faculty, Linköping University and Linköping University Hospital, Linköping, Sweden.
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Lamb MM, Frederiksen B, Seifert JA, Kroehl M, Rewers M, Norris JM. Sugar intake is associated with progression from islet autoimmunity to type 1 diabetes: the Diabetes Autoimmunity Study in the Young. Diabetologia 2015; 58:2027-34. [PMID: 26048237 PMCID: PMC4529377 DOI: 10.1007/s00125-015-3657-x] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/10/2015] [Accepted: 05/15/2015] [Indexed: 11/29/2022]
Abstract
AIMS/HYPOTHESIS Dietary sugar intake may increase insulin production, stress the beta cells and increase the risk for islet autoimmunity (IA) and subsequent type 1 diabetes. METHODS Since 1993, the Diabetes Autoimmunity Study in the Young (DAISY) has followed children at increased genetic risk for type 1 diabetes for the development of IA (autoantibodies to insulin, GAD or protein tyrosine phosphatase-like protein [IA2] twice or more in succession) and progression to type 1 diabetes. Information on intake of fructose, sucrose, total sugars, sugar-sweetened beverages, beverages with non-nutritive sweetener and juice was collected prospectively throughout childhood via food frequency questionnaires (FFQs). We examined diet records for 1,893 children (mean age at last follow-up 10.2 years); 142 developed IA and 42 progressed to type 1 diabetes. HLA genotype was dichotomised as high risk (HLA-DR3/4,DQB1*0302) or not. All Cox regression models were adjusted for total energy, FFQ type, type 1 diabetes family history, HLA genotype and ethnicity. RESULTS In children with IA, progression to type 1 diabetes was significantly associated with intake of total sugars (HR 1.75, 95% CI 1.07-2.85). Progression to type 1 diabetes was also associated with increased intake of sugar-sweetened beverages in those with the high-risk HLA genotype (HR 1.84, 95% CI 1.25-2.71), but not in children without it (interaction p value = 0.02). No sugar variables were associated with IA risk. CONCLUSIONS/INTERPRETATION Sugar intake may exacerbate the later stage of type 1 diabetes development; sugar-sweetened beverages may be especially detrimental to children with the highest genetic risk of developing type 1 diabetes.
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Affiliation(s)
- Molly M. Lamb
- Colorado School of Public Health, University of Colorado, 13001 E. 17th Place, Aurora, CO 80045, USA
| | - Brittni Frederiksen
- Colorado School of Public Health, University of Colorado, 13001 E. 17th Place, Aurora, CO 80045, USA
| | - Jennifer A. Seifert
- Colorado School of Public Health, University of Colorado, 13001 E. 17th Place, Aurora, CO 80045, USA
| | - Miranda Kroehl
- Colorado School of Public Health, University of Colorado, 13001 E. 17th Place, Aurora, CO 80045, USA
| | - Marian Rewers
- Barbara Davis Center for Childhood Diabetes, Aurora, CO, USA
| | - Jill M. Norris
- Colorado School of Public Health, University of Colorado, 13001 E. 17th Place, Aurora, CO 80045, USA
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Rouhani MH, Kelishadi R, Hashemipour M, Esmaillzadeh A, Azadbakht L. Glycemic index, glycemic load and childhood obesity: A systematic review. Adv Biomed Res 2014; 3:47. [PMID: 24627855 PMCID: PMC3949335 DOI: 10.4103/2277-9175.125757] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2012] [Accepted: 08/02/2012] [Indexed: 02/07/2023] Open
Abstract
Background: Several evidences have been reported so far in terms of the relationship between obesity and glycemic index and glycemic load in children. However, the number of review studies that have dealt with recent findings is quite low. The purpose of present study is to review the existing evidences in this regard. Materials and Methods: First of all, the phrases: “Glycaemic index”, “Glycaemic load”, “Glycemic index” OR “Glycemic load” accompanied by one of the words: “Adolescent”, “Young”, “Youth” “Children” OR “Child” were searched in texts of articles existing in ISI and PUBMED databases which were obtained out of 1001 articles. Among these, some articles, which reviewed the relationship of obesity with glycemic index and glycemic load, were selected. Finally, 20 articles were studied in current review study. Results: The majority of cross-sectional studies have found children's obesity directly linked with glycemic index and glycemic load; however, cohort studies found controversial results. Also, the intervention studies indicate the negative effect of glycemic index and glycemic load on obesity in children. Conclusion: Published evidences reported inconsistent results. It seems that existing studies are not sufficient and more studies are needed in this regard.
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Affiliation(s)
- Mohammad Hossein Rouhani
- Food Security Research Center, Isfahan University of Medical Sciences and Department of Community Nutrition, School of Nutrition and Food Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Roya Kelishadi
- Department of Pediatrics, Child Growth and Development Research Center, and School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Mahin Hashemipour
- Department of Pediatrics, Child Growth and Development Research Center, and School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran ; Department of Pediatric Endocrinology and Metabolism Diseases, Endocrinology and Metabolism Research Center, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Ahmad Esmaillzadeh
- Food Security Research Center, Isfahan University of Medical Sciences and Department of Community Nutrition, School of Nutrition and Food Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Leila Azadbakht
- Food Security Research Center, Isfahan University of Medical Sciences and Department of Community Nutrition, School of Nutrition and Food Sciences, Isfahan University of Medical Sciences, Isfahan, Iran
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20
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Abstract
Type 1 diabetes (T1D) is perceived as a progressive immune-mediated disease, the clinical diagnosis of which is preceded by an asymptomatic preclinical period of highly variable duration. It has long been postulated that the disease process leading to overt T1D is triggered by an infectious agent, the strongest candidate being a diabetogenic enterovirus. The initiation and progression of the disorder likely requires, in addition to genetic T1D susceptibility, a trigger, an exogenous antigen capable of driving the development of this disease. This may be a dietary antigen similar to gluten in celiac disease. Recent data further suggests that the initiation of autoimmunity is preceded by inflammation reflected by a proinflammatory metabolic serum profile. The cause of the inflammation remains open, but given that the intestinal microbiome appears to differ between individuals who progress to clinical T1D and nonprogressors, one may speculate that changes in the gut microflora might contribute to the inflammatory process.
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Affiliation(s)
- Mikael Knip
- Children's Hospital, University of Helsinki and Helsinki University Central Hospital, Helsinki, Finland; Folkhälsan Research Center, FI-00290 Helsinki, Finland.
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21
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Preclinical rheumatoid arthritis: identification, evaluation, and future directions for investigation. Rheum Dis Clin North Am 2010; 36:213-41. [PMID: 20510231 DOI: 10.1016/j.rdc.2010.02.001] [Citation(s) in RCA: 108] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Rheumatoid arthritis (RA) likely develops in several phases, beginning with genetic risk, followed by asymptomatic autoimmunity, then finally, clinically apparent disease. Investigating the phases of disease that exist prior to the onset of symptoms (ie, the preclinical period of RA) will lead to understanding of the important relationships between genetic and environmental factors that may lead to disease, as well as allow for the development of predictive models for disease, and ultimately preventive strategies for RA.
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