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Metsälä J, Risnes K, Persson M, Veijola R, Pulakka A, Heikkilä K, Alenius S, Gissler M, Opdahl S, Sandin S, Kajantie E. Gestational age at birth and type 1 diabetes in childhood and young adulthood: a nationwide register study in Finland, Norway and Sweden. Diabetologia 2024; 67:1315-1327. [PMID: 38613666 PMCID: PMC11153267 DOI: 10.1007/s00125-024-06139-y] [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: 03/29/2023] [Accepted: 03/01/2024] [Indexed: 04/15/2024]
Abstract
AIMS/HYPOTHESIS Children and adults born preterm have an increased risk of type 1 diabetes. However, there is limited information on risk patterns across the full range of gestational ages, especially after extremely preterm birth (23-27 weeks of gestation). We investigated the risk of type 1 diabetes in childhood and young adulthood across the full range of length of gestation at birth. METHODS Data were obtained from national registers in Finland, Norway and Sweden. In each country, information on study participants and gestational age was collected from the Medical Birth Registers, information on type 1 diabetes diagnoses was collected from the National Patient Registers, and information on education, emigration and death was collected from the respective national register sources. Individual-level data were linked using unique personal identity codes. The study population included all individuals born alive between 1987 and 2016 to mothers whose country of birth was the respective Nordic country. Individuals were followed until diagnosis of type 1 diabetes, death, emigration or end of follow-up (31 December 2016 in Finland, 31 December 2017 in Norway and Sweden). Gestational age was categorised as extremely preterm (23-27 completed weeks), very preterm (28-31 weeks), moderately preterm (32-33 weeks), late preterm (34-36 weeks), early term (37-38 weeks), full term (39-41 weeks; reference) and post term (42-45 weeks). HRs and 95% CIs from country-specific covariate-adjusted Cox regression models were combined in a meta-analysis using a common-effect inverse-variance model. RESULTS Among 5,501,276 individuals, 0.2% were born extremely preterm, 0.5% very preterm, 0.7% moderately preterm, 4.2% late preterm, 17.7% early term, 69.9% full term, and 6.7% post term. A type 1 diabetes diagnosis was recorded in 12,326 (0.8%), 6364 (0.5%) and 16,856 (0.7%) individuals at a median age of 8.2, 13.0 and 10.5 years in Finland, Norway and Sweden, respectively. Individuals born late preterm or early term had an increased risk of type 1 diabetes compared with their full-term-born peers (pooled, multiple confounder-adjusted HR 1.12, 95% CI 1.07, 1.18; and 1.15, 95% CI 1.11, 1.18, respectively). However, those born extremely preterm or very preterm had a decreased risk of type 1 diabetes (adjusted HR 0.63, 95% CI 0.45, 0.88; and 0.78, 95% CI 0.67, 0.92, respectively). These associations were similar across all three countries. CONCLUSIONS/INTERPRETATION Individuals born late preterm and early term have an increased risk of type 1 diabetes while individuals born extremely preterm or very preterm have a decreased risk of type 1 diabetes compared with those born full term.
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Affiliation(s)
- Johanna Metsälä
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland.
| | - Kari Risnes
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Children's Clinic, St Olav University Hospital, Trondheim, Norway
| | - Martina Persson
- Department of Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Clinical Science and Education Södersjukhuset, Karolinska Institutet, Stockholm, Sweden
- Department of Endocrinology and Diabetology, Sachsska Childrens' and Youth Hospital, Stockholm, Sweden
| | - Riitta Veijola
- Clinical Medicine Research Unit, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Anna Pulakka
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
- Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland
| | - Katriina Heikkilä
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
- Department of Public Health, University of Turku, Turku, Finland
- Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Suvi Alenius
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
- Children's Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
| | - Mika Gissler
- Department of Knowledge Brokers, Finnish Institute for Health and Welfare, Helsinki, Finland
- Academic Primary Health Care Centre, Region Stockholm, Stockholm, Sweden
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
| | - Signe Opdahl
- Department of Public Health and Nursing, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
| | - Sven Sandin
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Seaver Autism Center for Research and Treatment at Mount Sinai, New York, NY, USA
| | - Eero Kajantie
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
- Clinical Medicine Research Unit, MRC Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland
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2
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Hummel S, Rosenberger S, von dem Berge T, Besser REJ, Casteels K, Hommel A, Kordonouri O, Elding Larsson H, Lundgren M, Marcus BA, Oltarzewski M, Rochtus A, Szypowska A, Todd JA, Weiss A, Winkler C, Bonifacio E, Ziegler AG. Early-childhood body mass index and its association with the COVID-19 pandemic, containment measures and islet autoimmunity in children with increased risk for type 1 diabetes. Diabetologia 2024; 67:670-678. [PMID: 38214711 PMCID: PMC10904508 DOI: 10.1007/s00125-023-06079-z] [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: 08/14/2023] [Accepted: 11/14/2023] [Indexed: 01/13/2024]
Abstract
AIMS/HYPOTHESIS The aim of this study was to determine whether BMI in early childhood was affected by the COVID-19 pandemic and containment measures, and whether it was associated with the risk for islet autoimmunity. METHODS Between February 2018 and May 2023, data on BMI and islet autoimmunity were collected from 1050 children enrolled in the Primary Oral Insulin Trial, aged from 4.0 months to 5.5 years of age. The start of the COVID-19 pandemic was defined as 18 March 2020, and a stringency index was used to assess the stringency of containment measures. Islet autoimmunity was defined as either the development of persistent confirmed multiple islet autoantibodies, or the development of one or more islet autoantibodies and type 1 diabetes. Multivariate linear mixed-effect, linear and logistic regression methods were applied to assess the effect of the COVID-19 pandemic and the stringency index on early-childhood BMI measurements (BMI as a time-varying variable, BMI at 9 months of age and overweight risk at 9 months of age), and Cox proportional hazard models were used to assess the effect of BMI measurements on islet autoimmunity risk. RESULTS The COVID-19 pandemic was associated with increased time-varying BMI (β = 0.39; 95% CI 0.30, 0.47) and overweight risk at 9 months (β = 0.44; 95% CI 0.03, 0.84). During the COVID-19 pandemic, a higher stringency index was positively associated with time-varying BMI (β = 0.02; 95% CI 0.00, 0.04 per 10 units increase), BMI at 9 months (β = 0.13; 95% CI 0.01, 0.25) and overweight risk at 9 months (β = 0.23; 95% CI 0.03, 0.43). A higher age-corrected BMI and overweight risk at 9 months were associated with increased risk for developing islet autoimmunity up to 5.5 years of age (HR 1.16; 95% CI 1.01, 1.32 and HR 1.68, 95% CI 1.00, 2.82, respectively). CONCLUSIONS/INTERPRETATION Early-childhood BMI increased during the COVID-19 pandemic, and was influenced by the level of restrictions during the pandemic. Controlling for the COVID-19 pandemic, elevated BMI during early childhood was associated with increased risk for childhood islet autoimmunity in children with genetic susceptibility to type 1 diabetes.
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Affiliation(s)
- Sandra Hummel
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany.
- Forschergruppe Diabetes e.V. at Helmholtz Zentrum München, Munich, Germany.
- School of Medicine, Forschergruppe Diabetes at Klinikum rechts der Isar, Technical University Munich, Munich, Germany.
| | - Sarah Rosenberger
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
- Institute for Medical Information Processing, Biometry and Epidemiology - IBE, Ludwig-Maximilians-Universität München, Munich, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | | | - Rachel E J Besser
- Centre for Human Genetics, JDRF/Wellcome Diabetes and Inflammation Laboratory, Nuffield Department of Medicine, NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Kristina Casteels
- Department of Pediatrics, University Hospitals Leuven, Leuven, Belgium
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Angela Hommel
- Center for Regenerative Therapies Dresden, Technische Universität Dresden, Dresden, Germany
- Paul Langerhans Institute Dresden of the Helmholtz Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Olga Kordonouri
- Kinder- und Jugendkrankenhaus auf der Bult, Hannover, Germany
| | - Helena Elding Larsson
- Unit for Pediatric Endocrinology, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Department of Paediatrics, Skane University Hospital, Malmö/Lund, Sweden
| | - Markus Lundgren
- Unit for Pediatric Endocrinology, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Department of Pediatrics, Kristianstad Hospital, Kristianstad, Sweden
| | - Benjamin A Marcus
- School of Medicine, Forschergruppe Diabetes at Klinikum rechts der Isar, Technical University Munich, Munich, Germany
| | - Mariusz Oltarzewski
- Department of Paediatric Diabetology and Paediatrics, The Children's Clinical Hospital Józef Polikarp Brudziński, Warsaw, Poland
- Department of Paediatrics, Medical University of Warsaw, Warsaw, Poland
| | - Anne Rochtus
- Department of Pediatrics, University Hospitals Leuven, Leuven, Belgium
- Department of Development and Regeneration, KU Leuven, Leuven, Belgium
| | - Agnieszka Szypowska
- Department of Paediatric Diabetology and Paediatrics, The Children's Clinical Hospital Józef Polikarp Brudziński, Warsaw, Poland
- Department of Paediatrics, Medical University of Warsaw, Warsaw, Poland
| | - John A Todd
- Centre for Human Genetics, JDRF/Wellcome Diabetes and Inflammation Laboratory, Nuffield Department of Medicine, NIHR Biomedical Research Centre, University of Oxford, Oxford, UK
| | - Andreas Weiss
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
| | - Christiane Winkler
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
- Forschergruppe Diabetes e.V. at Helmholtz Zentrum München, Munich, Germany
| | - Ezio Bonifacio
- Center for Regenerative Therapies Dresden, Technische Universität Dresden, Dresden, Germany
- Paul Langerhans Institute Dresden of the Helmholtz Munich at University Hospital Carl Gustav Carus and Faculty of Medicine, Technische Universität Dresden, Dresden, Germany
| | - Anette-G Ziegler
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
- Forschergruppe Diabetes e.V. at Helmholtz Zentrum München, Munich, Germany
- School of Medicine, Forschergruppe Diabetes at Klinikum rechts der Isar, Technical University Munich, Munich, Germany
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Tinghäll Nilsson U, Lönnerdal B, Hernell O, Kvistgaard AS, Jacobsen LN, Karlsland Åkeson P. Low-Protein Infant Formula Enriched with Alpha-Lactalbumin during Early Infancy May Reduce Insulin Resistance at 12 Months: A Follow-Up of a Randomized Controlled Trial. Nutrients 2024; 16:1026. [PMID: 38613059 PMCID: PMC11013926 DOI: 10.3390/nu16071026] [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: 02/28/2024] [Revised: 03/23/2024] [Accepted: 03/27/2024] [Indexed: 04/14/2024] Open
Abstract
High protein intake during infancy results in accelerated early weight gain and potentially later obesity. The aim of this follow-up study at 12 months was to evaluate if modified low-protein formulas fed during early infancy have long-term effects on growth and metabolism. In a double-blinded RCT, the ALFoNS study, 245 healthy-term infants received low-protein formulas with either alpha-lactalbumin-enriched whey (α-lac-EW; 1.75 g protein/100 kcal), casein glycomacropeptide-reduced whey (CGMP-RW; 1.76 g protein/100 kcal), or standard infant formula (SF; 2.2 g protein/100 kcal) between 2 and 6 months of age. Breastfed (BF) infants served as a reference. At 12 months, anthropometrics and dietary intake were assessed, and serum was analyzed for insulin, C-peptide, and insulin-like growth factor 1 (IGF-1). Weight gain between 6 and 12 months and BMI at 12 months were higher in the SF than in the BF infants (p = 0.019; p < 0.001, respectively), but were not significantly different between the low-protein formula groups and the BF group. S-insulin and C-peptide were higher in the SF than in the BF group (p < 0.001; p = 0.003, respectively), but more alike in the low-protein formula groups and the BF group. Serum IGF-1 at 12 months was similar in all study groups. Conclusion: Feeding modified low-protein formula during early infancy seems to reduce insulin resistance, resulting in more similar growth, serum insulin, and C-peptide concentrations to BF infants at 6-months post intervention. Feeding modified low-protein formula during early infancy results in more similar growth, serum insulin, and C-peptide concentrations to BF infants 6-months post intervention, probably due to reduced insulin resistance in the low-protein groups.
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Affiliation(s)
| | - Bo Lönnerdal
- Department of Nutrition, University of California, Davis, CA 95616, USA;
| | - Olle Hernell
- Department of Clinical Sciences, Pediatrics, Umeå University, 901 87 Umeå, Sweden;
| | | | | | - Pia Karlsland Åkeson
- Department of Clinical Sciences Malmö, Pediatrics, Lund University, 221 00 Lund, Sweden;
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Webb-Robertson BJM, Nakayasu ES, Dong F, Waugh KC, Flores JE, Bramer LM, Schepmoes AA, Gao Y, Fillmore TL, Onengut-Gumuscu S, Frazer-Abel A, Rich SS, Holers VM, Metz TO, Rewers MJ. Decrease in multiple complement proteins associated with development of islet autoimmunity and type 1 diabetes. iScience 2024; 27:108769. [PMID: 38303689 PMCID: PMC10831269 DOI: 10.1016/j.isci.2023.108769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 10/16/2023] [Accepted: 12/18/2023] [Indexed: 02/03/2024] Open
Abstract
Type 1 diabetes (T1D) is a chronic condition caused by autoimmune destruction of the insulin-producing pancreatic β cells. While it is known that gene-environment interactions play a key role in triggering the autoimmune process leading to T1D, the pathogenic mechanism leading to the appearance of islet autoantibodies-biomarkers of autoimmunity-is poorly understood. Here we show that disruption of the complement system precedes the detection of islet autoantibodies and persists through disease onset. Our results suggest that children who exhibit islet autoimmunity and progress to clinical T1D have lower complement protein levels relative to those who do not progress within a similar time frame. Thus, the complement pathway, an understudied mechanistic and therapeutic target in T1D, merits increased attention for use as protein biomarkers of prediction and potentially prevention of T1D.
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Affiliation(s)
- Bobbie-Jo M. Webb-Robertson
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
- Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, FL, USA
- Department of Biomedical Engineering, Oregon Health & Science University, Portland, OR, USA
| | - Ernesto S. Nakayasu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Fran Dong
- Barbara Davis Center for Diabetes, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Kathy C. Waugh
- Barbara Davis Center for Diabetes, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Javier E. Flores
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Lisa M. Bramer
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Athena A. Schepmoes
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Yuqian Gao
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Thomas L. Fillmore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Suna Onengut-Gumuscu
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Ashley Frazer-Abel
- Divison of Rheumatology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - V. Michael Holers
- Divison of Rheumatology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Thomas O. Metz
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Marian J. Rewers
- Barbara Davis Center for Diabetes, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
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Delaroque C, Chassaing B. Dietary emulsifier consumption accelerates type 1 diabetes development in NOD mice. NPJ Biofilms Microbiomes 2024; 10:1. [PMID: 38182615 PMCID: PMC10770373 DOI: 10.1038/s41522-023-00475-4] [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: 06/15/2023] [Accepted: 12/15/2023] [Indexed: 01/07/2024] Open
Abstract
The rapidly increasing prevalence of type 1 diabetes (T1D) underscores the role of environmental (i.e. non-genetic) determinants of T1D development. Such factors include industrialized diets as well as the intestinal microbiota with which they interact. One component of industrialized diets that deleteriously impact gut microbiota is dietary emulsifiers, which perturb intestinal microbiota to encroach upon their host promoting chronic low-grade intestinal inflammation and metabolic syndrome. Hence, we investigated whether 2 dietary emulsifiers, carboxymethylcellulose (CMC) and polysorbate-80 (P80), might influence the development of T1D in NOD mice, which spontaneously develop this disorder. We observed that chronic emulsifier exposure accelerated T1D development in NOD mice, which was associated with increased insulin autoantibody levels. Such accelerated T1D development was accompanied by compositional and functional alterations of the intestinal microbiota as well as low-grade intestinal inflammation. Moreover, machine learning found that the severity of emulsifier-induced microbiota disruption had partial power to predict subsequent disease development, suggesting that complex interactions occur between the host, dietary factors, and the intestinal microbiota. Thus, perturbation of host-microbiota homeostasis by dietary emulsifiers may have contributed to the post-mid-20th-century increase in T1D.
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Affiliation(s)
- Clara Delaroque
- INSERM U1016, team "Mucosal microbiota in chronic inflammatory diseases", CNRS UMR 8104, Université Paris Cité, Paris, France
| | - Benoit Chassaing
- INSERM U1016, team "Mucosal microbiota in chronic inflammatory diseases", CNRS UMR 8104, Université Paris Cité, Paris, France.
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Tojjar J, Cervin M, Hedlund E, Brahimi Q, Forsander G, Elding Larsson H, Ludvigsson J, Samuelsson U, Marcus C, Persson M, Carlsson A. Sex Differences in Age of Diagnosis, HLA Genotype, and Autoantibody Profile in Children With Type 1 Diabetes. Diabetes Care 2023; 46:1993-1996. [PMID: 37699205 DOI: 10.2337/dc23-0124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Accepted: 08/11/2023] [Indexed: 09/14/2023]
Abstract
OBJECTIVE To examine sex differences in children with newly diagnosed type 1 diabetes (T1D) with respect to age at diagnosis, presence of autoantibodies (GAD antibody [GADA], insulinoma-associated protein 2 [IA-2A], insulin autoantibody [IAA], and zinc transporter 8 autoantibody), and HLA risk. RESEARCH DESIGN AND METHODS A population-based nationwide sample of 3,645 Swedish children at T1D diagnosis was used. RESULTS Girls were younger at T1D diagnosis (9.53 vs. 10.23 years; P < 0.001), more likely to be autoantibody-positive (94.7% vs. 92.0%; P = 0.002), more often positive for multiple autoantibodies (P < 0.001), more likely to be positive for GADA (64.9% vs. 49.0%; P < 0.001), and less likely to be positive for IAA (32.3% vs. 33.8%; P = 0.016). Small sex differences in HLA risk were found in children <9 years of age. CONCLUSIONS The disease mechanisms leading to T1D may influence the immune system differently in girls and boys.
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Affiliation(s)
- Jasaman Tojjar
- Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Matti Cervin
- Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Emma Hedlund
- Department of Clinical Sciences, Lund University, Lund, Sweden
- Department of Paediatrics, Kristianstad Central Hospital, Kristianstad, Sweden
| | - Qefsere Brahimi
- Department of Clinical Sciences, Malmö, Clinical Research Center, Lund University, Malmö, Sweden
| | - Gun Forsander
- The Queen Silvia Children's Hospital, Sahlgrenska University Hospital, Gothenburg, Sweden
- Institute of Clinical Sciences, University of Gothenburg, Gothenburg, Sweden
| | - Helena Elding Larsson
- Department of Clinical Sciences, Malmö, Clinical Research Center, Lund University, Malmö, Sweden
- Skåne University Hospital, Malmö, Sweden
| | - Johnny Ludvigsson
- Crown Princess Victoria Childreńs Hospital, Linköping University Hospital, Linköping, Sweden
- Division of Pediatrics, Department of Biomedical and Clinical Sciences (BKV), Medical Faculty, Linköping University, Linköping, Sweden
| | - Ulf Samuelsson
- Crown Princess Victoria Childreńs Hospital, Linköping University Hospital, Linköping, Sweden
- Division of Pediatrics, Department of Biomedical and Clinical Sciences (BKV), Medical Faculty, Linköping University, Linköping, Sweden
| | - Claude Marcus
- Division of Pediatrics, Department of Clinical Science Intervention and Technology, Karolinska Institute, Stockholm, Sweden
| | - Martina Persson
- Department of Medicine, Clinical Epidemiology, Karolinska Institute, Stockholm, Sweden
- Department of Clinical Science and Education, Karolinska Institute, Södersjukhuset, Stockholm, Sweden
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Eleftheriou A, Ong KK, Hughes IA, Petry CJ. Leptin and IGF-1 in Infancy Are Associated With Variants in DHCR7 and CYP2R1 That Relate With Type 1 Diabetes and 25OHD. J Clin Endocrinol Metab 2023; 108:e1394-e1402. [PMID: 37170809 PMCID: PMC10584008 DOI: 10.1210/clinem/dgad263] [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: 01/24/2023] [Revised: 05/04/2023] [Accepted: 05/08/2023] [Indexed: 05/13/2023]
Abstract
CONTEXT Vitamin D has been variably implicated in risk of developing type 1 diabetes based on cohorts of at-risk individuals. Emergent type 1 diabetes in childhood is putatively preceded by altered growth. OBJECTIVE We explored whether polymorphisms in vitamin D metabolism genes modify risk of type 1 diabetes via effects on growth in a prospective, population-based cohort of infants. METHODS The Cambridge Baby Growth Study enrolled newborns from Cambridgeshire, UK, for follow-up in infancy. In 612 infants, we genotyped single nucleotide polymorphisms in vitamin D metabolism genes that relate with type 1 diabetes: rs10741657 and rs12794714 in CYP2R1, rs12785878 in DHCR7, and rs10877012 in CYP27B1. Multivariate linear regression analyses tested associations between genotypes and anthropometric indices (weight, length, and skinfold thickness) or growth-related hormones (C-peptide, IGF-1, and leptin) in infancy. RESULTS Birth weight showed borderline associations with the diabetes risk-increasing alleles in CYP2R1, rs10741657 (β = -.11, P = .02) and rs12794714 (β = -.09, P = .04). The risk-increasing allele rs12794714 was also associated with higher IGF-1 levels at age 24 months (β = .30, P = .01). At age 3 months, the risk-increasing allele rs12785878 in DHCR7, known to negatively associate with 25-hydroxyvitamin D levels, showed a positive association with leptin levels (β = .23, P = .009), which was pronounced in girls (P = .004) vs boys (P = .7). CONCLUSION The vitamin D metabolism genes DHCR7 and CYP2R1 might influence infancy leptin and IGF-1 levels respectively. These findings open the possibility for a developmental role of vitamin D that is mediated by growth-related hormones with implications for the onset of type 1 diabetes autoimmunity.
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Affiliation(s)
| | - Ken K Ong
- Department of Paediatrics, University of Cambridge, Cambridge CB2 0QQ, UK
- MRC Epidemiology Unit, University of Cambridge, Cambridge CB2 0QQ, UK
- Institute of Metabolic Science, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Ieuan A Hughes
- Department of Paediatrics, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Clive J Petry
- Department of Paediatrics, University of Cambridge, Cambridge CB2 0QQ, UK
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Lernmark Å, Akolkar B, Hagopian W, Krischer J, McIndoe R, Rewers M, Toppari J, Vehik K, Ziegler AG. Possible heterogeneity of initial pancreatic islet beta-cell autoimmunity heralding type 1 diabetes. J Intern Med 2023; 294:145-158. [PMID: 37143363 PMCID: PMC10524683 DOI: 10.1111/joim.13648] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
The etiology of type 1 diabetes (T1D) foreshadows the pancreatic islet beta-cell autoimmune pathogenesis that heralds the clinical onset of T1D. Standardized and harmonized tests of autoantibodies against insulin (IAA), glutamic acid decarboxylase (GADA), islet antigen-2 (IA-2A), and ZnT8 transporter (ZnT8A) allowed children to be followed from birth until the appearance of a first islet autoantibody. In the Environmental Determinants of Diabetes in the Young (TEDDY) study, a multicenter (Finland, Germany, Sweden, and the United States) observational study, children were identified at birth for the T1D high-risk HLA haploid genotypes DQ2/DQ8, DQ2/DQ2, DQ8/DQ8, and DQ4/DQ8. The TEDDY study was preceded by smaller studies in Finland, Germany, Colorado, Washington, and Sweden. The aims were to follow children at increased genetic risk to identify environmental factors that trigger the first-appearing autoantibody (etiology) and progress to T1D (pathogenesis). The larger TEDDY study found that the incidence rate of the first-appearing autoantibody was split into two patterns. IAA first peaked already during the first year of life and tapered off by 3-4 years of age. GADA first appeared by 2-3 years of age to reach a plateau by about 4 years. Prior to the first-appearing autoantibody, genetic variants were either common or unique to either pattern. A split was also observed in whole blood transcriptomics, metabolomics, dietary factors, and exposures such as gestational life events and early infections associated with prolonged shedding of virus. An innate immune reaction prior to the adaptive response cannot be excluded. Clarifying the mechanisms by which autoimmunity is triggered to either insulin or GAD65 is key to uncovering the etiology of autoimmune T1D.
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Affiliation(s)
- Åke Lernmark
- Department of Clinical Sciences, Lund University CRC, Skåne University Hospital, Malmö, Sweden
| | - Beena Akolkar
- National Institute of Diabetes & Digestive & Kidney Diseases, Bethesda, MD USA
| | | | - Jeffrey Krischer
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL USA
| | - Richard McIndoe
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA USA
| | - Marian Rewers
- Barbara Davis Center for Diabetes, University of Colorado, Aurora, Colorado USA
| | - Jorma Toppari
- Department of Pediatrics, Turku University Hospital, and Institute of Biomedicine, Research Centre for Integrated Physiology and Pharmacology, University of Turku, Turku, Finland
| | - Kendra Vehik
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL USA
| | - Anette-G. Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München, and Klinikum rechts der Isar, Technische Universität München, and Forschergruppe Diabetes e.V., Neuherberg, Germany
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9
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Webb-Robertson BJM, Nakayasu ES, Dong F, Waugh KC, Flores J, Bramer LM, Schepmoes A, Gao Y, Fillmore T, Onengut-Gumuscu S, Frazer-Abel A, Rich SS, Holers VM, Metz TO, Rewers MJ. Decrease in multiple complement protein levels is associated with the development of islet autoimmunity and type 1 diabetes. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.07.13.23292628. [PMID: 37502972 PMCID: PMC10370226 DOI: 10.1101/2023.07.13.23292628] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Type 1 diabetes (T1D) is a chronic condition caused by autoimmune destruction of the insulin-producing pancreatic β-cells. While it is known that gene-environment interactions play a key role in triggering the autoimmune process leading to T1D, the pathogenic mechanism leading to the appearance of islet autoantibodies - biomarkers of autoimmunity - is poorly understood. Here we show that disruption of the complement system precedes the detection of islet autoantibodies and persists through disease onset. Our results suggest that children who exhibit islet autoimmunity and progress to clinical T1D have lower complement protein levels relative to those who do not progress within a similar timeframe. Thus, the complement pathway, an understudied mechanistic and therapeutic target in T1D, merits increased attention for use as protein biomarkers of prediction and potentially prevention of T1D.
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10
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Liu X, Johnson SB, Lynch KF, Cordan K, Pate R, Butterworth MD, Lernmark Å, Hagopian WA, Rewers MJ, McIndoe RA, Toppari J, Ziegler AG, Akolkar B, Krischer JP, Yang J. Physical Activity and the Development of Islet Autoimmunity and Type 1 Diabetes in 5- to 15-Year-Old Children Followed in the TEDDY Study. Diabetes Care 2023; 46:1409-1416. [PMID: 37141102 PMCID: PMC10300517 DOI: 10.2337/dc23-0036] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 04/13/2023] [Indexed: 05/05/2023]
Abstract
OBJECTIVE This study investigated physical activity and its association with the development of islet autoimmunity and type 1 diabetes in genetically at-risk children aged 5-15 years. RESEARCH DESIGN AND METHODS As part of the longitudinal Environmental Determinants of Diabetes in the Young (TEDDY) study, annual assessment of activity using accelerometry was conducted from age 5 years. Time-to-event analyses using Cox proportional hazard models were used to assess the association between time spent in moderate to vigorous physical activity per day and the appearance of one or several autoantibodies and progression to type 1 diabetes in three risk groups: 1) 3,869 islet autoantibody (IA)-negative children, of whom 157 became single IA positive; 2) 302 single IA-positive children, of whom 73 became multiple IA positive; and 3) 294 multiple IA-positive children, of whom 148 developed type 1 diabetes. RESULTS No significant association was found in risk group 1 or risk group 2. A significant association was seen in risk group 3 (hazard ratio 0.920 [95% CI 0.856, 0.988] per 10-min increase; P = 0.021), particularly when glutamate decarboxylase autoantibody was the first autoantibody (hazard ratio 0.883 [95% CI 0.783, 0.996] per 10-min increase; P = 0.043). CONCLUSIONS More daily minutes spent in moderate to vigorous physical activity was associated with a reduced risk of progression to type 1 diabetes in children aged 5-15 years who had developed multiple IAs.
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Affiliation(s)
- Xiang Liu
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL
| | - Suzanne Bennett Johnson
- Department of Behavioral Sciences and Social Medicine, Florida State University College of Medicine, Tallahassee, FL
| | - Kristian F. Lynch
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL
| | - Kerry Cordan
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC
| | - Russell Pate
- Department of Exercise Science, Arnold School of Public Health, University of South Carolina, Columbia, SC
| | - Martha D. Butterworth
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL
| | - Åke Lernmark
- Department of Clinical Sciences, Lund University/CRC, Skåne University Hospital SUS, Malmo, Sweden
| | | | - Marian J. Rewers
- Barbara Davis Center for Childhood Diabetes, University of Colorado, Aurora, CO
| | - Richard A. McIndoe
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA
| | - Jorma Toppari
- Department of Pediatrics, Turku University Hospital, Turku, Finland
- Institute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, University of Turku, Turku, Finland
| | - Anette-G. Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München, and Klinikum rechts der Isar, Technische Universität München, and Forschergruppe Diabetes e.V., Neuherberg, Germany
| | - Beena Akolkar
- National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD
| | - Jeffrey P. Krischer
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL
| | - Jimin Yang
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL
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11
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Kamrath C, Holl RW, Rosenbauer J. Elucidating the Underlying Mechanisms of the Marked Increase in Childhood Type 1 Diabetes During the COVID-19 Pandemic-The Diabetes Pandemic. JAMA Netw Open 2023; 6:e2321231. [PMID: 37389881 DOI: 10.1001/jamanetworkopen.2023.21231] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/01/2023] Open
Affiliation(s)
- Clemens Kamrath
- Centre of Child and Adolescent Medicine, Justus Liebig University, Giessen, Germany
| | - Reinhard W Holl
- Institute of Epidemiology and Medical Biometry, ZIBMT, Ulm University, Ulm, Germany
- German Centre for Diabetes Research (DZD), Munich-Neuherberg, Germany
| | - Joachim Rosenbauer
- German Centre for Diabetes Research (DZD), Munich-Neuherberg, Germany
- Institute for Biometrics and Epidemiology, German Diabetes Centre, Leibniz Centre for Diabetes Research at Heinrich Heine University Düsseldorf, Düsseldorf, Germany
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12
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Varghese SS, Dhawan S. Senescence: a double-edged sword in beta-cell health and failure? Front Endocrinol (Lausanne) 2023; 14:1196460. [PMID: 37229454 PMCID: PMC10203573 DOI: 10.3389/fendo.2023.1196460] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 04/19/2023] [Indexed: 05/27/2023] Open
Abstract
Cellular senescence is a complex process marked by permanent cell-cycle arrest in response to a variety of stressors, and acts as a safeguard against the proliferation of damaged cells. Senescence is not only a key process underlying aging and development of many diseases, but has also been shown to play a vital role in embryogenesis as well as tissue regeneration and repair. In context of the pancreatic beta-cells, that are essential for maintaining glucose homeostasis, replicative senescence is responsible for the age-related decline in regenerative capacity. Stress induced premature senescence is also a key early event underlying beta-cell failure in both type 1 and type 2 diabetes. Targeting senescence has therefore emerged as a promising therapeutic avenue for diabetes. However, the molecular mechanisms that mediate the induction of beta-cell senescence in response to various stressors remain unclear. Nor do we know if senescence plays any role during beta-cell growth and development. In this perspective, we discuss the significance of senescence in beta-cell homeostasis and pathology and highlight emerging directions in this area that warrant our attention.
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Affiliation(s)
| | - Sangeeta Dhawan
- Department of Translational Research and Cellular Therapeutics, Arthur Riggs Diabetes and Metabolism Research Institute, City of Hope, Duarte, CA, United States
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13
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Alazwari A, Johnstone A, Tafakori L, Abdollahian M, AlEidan AM, Alfuhigi K, Alghofialy MM, Albunyan AA, Al Abbad H, AlEssa MH, Alareefy AKH, Alshamrani MA. Predicting the development of T1D and identifying its Key Performance Indicators in children; a case-control study in Saudi Arabia. PLoS One 2023; 18:e0282426. [PMID: 36857368 PMCID: PMC9977054 DOI: 10.1371/journal.pone.0282426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Accepted: 02/15/2023] [Indexed: 03/02/2023] Open
Abstract
The increasing incidence of type 1 diabetes (T1D) in children is a growing global concern. It is known that genetic and environmental factors contribute to childhood T1D. An optimal model to predict the development of T1D in children using Key Performance Indicators (KPIs) would aid medical practitioners in developing intervention plans. This paper for the first time has built a model to predict the risk of developing T1D and identify its significant KPIs in children aged (0-14) in Saudi Arabia. Machine learning methods, namely Logistic Regression, Random Forest, Support Vector Machine, Naive Bayes, and Artificial Neural Network have been utilised and compared for their relative performance. Analyses were performed in a population-based case-control study from three Saudi Arabian regions. The dataset (n = 1,142) contained demographic and socioeconomic status, genetic and disease history, nutrition history, obstetric history, and maternal characteristics. The comparison between case and control groups showed that most children (cases = 68% and controls = 88%) are from urban areas, 69% (cases) and 66% (control) were delivered after a full-term pregnancy and 31% of cases group were delivered by caesarean, which was higher than the controls (χ2 = 4.12, P-value = 0.042). Models were built using all available environmental and family history factors. The efficacy of models was evaluated using Area Under the Curve, Sensitivity, F Score and Precision. Full logistic regression outperformed other models with Accuracy = 0.77, Sensitivity, F Score and Precision of 0.70, and AUC = 0.83. The most significant KPIs were early exposure to cow's milk (OR = 2.92, P = 0.000), birth weight >4 Kg (OR = 3.11, P = 0.007), residency(rural) (OR = 3.74, P = 0.000), family history (first and second degree), and maternal age >25 years. The results presented here can assist healthcare providers in collecting and monitoring influential KPIs and developing intervention strategies to reduce the childhood T1D incidence rate in Saudi Arabia.
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Affiliation(s)
- Ahood Alazwari
- School of Science, RMIT University, Melbourne, Victoria, Australia
- School of Science, Al-Baha University, Al-Baha, Saudi Arabia
- * E-mail:
| | - Alice Johnstone
- School of Science, RMIT University, Melbourne, Victoria, Australia
| | - Laleh Tafakori
- School of Science, RMIT University, Melbourne, Victoria, Australia
| | - Mali Abdollahian
- School of Science, RMIT University, Melbourne, Victoria, Australia
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14
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Aronsson CA, Tamura R, Vehik K, Uusitalo U, Yang J, Haller MJ, Toppari J, Hagopian W, McIndoe RA, Rewers MJ, Ziegler AG, Akolkar B, Krischer JP, Norris JM, Virtanen SM, Larsson HE. Dietary Intake and Body Mass Index Influence the Risk of Islet Autoimmunity in Genetically At-Risk Children: A Mediation Analysis Using the TEDDY Cohort. Pediatr Diabetes 2023; 2023:3945064. [PMID: 37614409 PMCID: PMC10445692 DOI: 10.1155/2023/3945064] [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: 08/25/2023] Open
Abstract
Background/Objective Growth and obesity have been associated with increased risk of islet autoimmunity (IA) and progression to type 1 diabetes. We aimed to estimate the effect of energy-yielding macronutrient intake on the development of IA through BMI. Research Design and Methods Genetically at-risk children (n = 5,084) in Finland, Germany, Sweden, and the USA, who were autoantibody negative at 2 years of age, were followed to the age of 8 years, with anthropometric measurements and 3-day food records collected biannually. Of these, 495 (9.7%) children developed IA. Mediation analysis for time-varying covariates (BMI z-score) and exposure (energy intake) was conducted. Cox proportional hazard method was used in sensitivity analysis. Results We found an indirect effect of total energy intake (estimates: indirect effect 0.13 [0.05, 0.21]) and energy from protein (estimates: indirect effect 0.06 [0.02, 0.11]), fat (estimates: indirect effect 0.03 [0.01, 0.05]), and carbohydrates (estimates: indirect effect 0.02 [0.00, 0.04]) (kcal/day) on the development of IA. A direct effect was found for protein, expressed both as kcal/day (estimates: direct effect 1.09 [0.35, 1.56]) and energy percentage (estimates: direct effect 72.8 [3.0, 98.0]) and the development of GAD autoantibodies (GADA). In the sensitivity analysis, energy from protein (kcal/day) was associated with increased risk for GADA, hazard ratio 1.24 (95% CI: 1.09, 1.53), p = 0.042. Conclusions This study confirms that higher total energy intake is associated with higher BMI, which leads to higher risk of the development of IA. A diet with larger proportion of energy from protein has a direct effect on the development of GADA.
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Affiliation(s)
| | - Roy Tamura
- Health Informatics Institute, Department of Pediatrics, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Kendra Vehik
- Health Informatics Institute, Department of Pediatrics, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Ulla Uusitalo
- Health Informatics Institute, Department of Pediatrics, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Jimin Yang
- Health Informatics Institute, Department of Pediatrics, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | | | - Jorma Toppari
- Department of Pediatrics, Turku University Hospital, Turku, Finland
- Institute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, and Centre for Population Health Research, University of Turku, Turku, Finland
| | | | - Richard A. McIndoe
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - Marian J. Rewers
- Barbara Davis Center for Childhood Diabetes, University of Colorado, Aurora, CO, USA
| | - Anette-G. Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München and Klinikum rechts der Isar, Technische Universität München, Forschergruppe Diabetes e.V, Neuherberg, Germany
| | - Beena Akolkar
- National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, USA
| | - Jeffrey P. Krischer
- Health Informatics Institute, Department of Pediatrics, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Jill M. Norris
- Department of Epidemiology, University of Colorado Denver, Colorado School of Public Health, Aurora, CO, USA
| | - Suvi M. Virtanen
- Finnish Institute for Health and Welfare, Department of Public Health and Welfare, Helsinki, Finland
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland
- Center for Child Health Research, Tampere University and University Hospital, Tampere, Finland and Research, Development, and Innovation Center, Tampere University Hospital, Tampere, Finland
| | - Helena Elding Larsson
- Department of Clinical Sciences, Lund University, Malmo, Sweden
- Department of Pediatrics, Skane University Hospital, Malmo, Lund, Sweden
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15
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Dalili S, Koohmanaee S, Mirmonsef SG, Nemati SAR, Motamed B, Tabrizi M, Zoroufi MA, Rad AH. Preventable Prenatal and Neonatal Risk Factors of Type 1 Diabetes in Childhood. Int J Prev Med 2023; 14:19. [PMID: 37033288 PMCID: PMC10080570 DOI: 10.4103/ijpvm.ijpvm_190_21] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Accepted: 09/28/2021] [Indexed: 04/11/2023] Open
Abstract
Background Childhood type 1 diabetes mellitus (T1DM) is an autoimmune disease which is increasing in incidence, but little is known about the events that trigger the autoimmune process. Most of the time, these processes begin in prenatal and natal periods; therefore, this study aimed to investigate the prenatal and neonatal risk factors of T1DM in childhood. Methods This case-control study has been performed on children with T1DM who referred to the 17th Shahrivar children's hospital. The control group consisted of healthy siblings of the case group. Data were gathered using a form that included maternal and neonatal characteristics. Data were reported by descriptive statistics in SPSS 19. To investigate the effect of quantitative and qualitative variables on the development of T1DM, logistic regression and Chi-square tests were used, respectively. Results Birth weight, birth height, and maternal weight gain during pregnancy had a significant relationship with T1DM (odds ratio [OR] = 1.23, 2.57, and 1.14, respectively). In addition, there was a significant relationship between gestational hypertension (OR = 5.27), neonatal jaundice (OR = 3.42), cesarean section (OR = 2.06), and being non-first-born child (OR = 2.32) and T1DM. Also, premature rupture of membrane, maternal urinary tract infection, and nonexclusive breastfeeding had a significant association with T1DM (OR = 4.37, 3.94, and 2.30, respectively). There were no statistically significant differences between maternal age, sex, neonatal respiratory disease, prematurity, and neonatal infections and T1DM (P > 0.05). Conclusions Prenatal and neonatal risk factors can have a significant role in the occurrence of TIDM. Therefore, considering these risk factors can have a preventive effect on T1DM.
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Affiliation(s)
- Setila Dalili
- Pediatric Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | - Shahin Koohmanaee
- Pediatric Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
- Address for correspondence: Dr. Shahin Koohmanaee, Seyyedeh Golnaz Mirmonsef, 17 Shahrivar Hospital, Siadati Street, Rasht, Guilan Province, Iran. E-mail:
| | | | | | - Behrang Motamed
- Department of Internal Medicine, Razi Hospital, School of Medicine, Guilan University of Medical Sciences, Rasht, Iran
| | - Manijeh Tabrizi
- Pediatric Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
| | | | - Afagh Hassanzadeh Rad
- Pediatric Diseases Research Center, Guilan University of Medical Sciences, Rasht, Iran
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16
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Fröhlich-Reiterer E, Elbarbary NS, Simmons K, Buckingham B, Humayun KN, Johannsen J, Holl RW, Betz S, Mahmud FH. ISPAD Clinical Practice Consensus Guidelines 2022: Other complications and associated conditions in children and adolescents with type 1 diabetes. Pediatr Diabetes 2022; 23:1451-1467. [PMID: 36537532 DOI: 10.1111/pedi.13445] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Affiliation(s)
- Elke Fröhlich-Reiterer
- Department of Pediatrics and Adolescent Medicine, Medical University of Graz, Graz, Austria
| | | | - Kimber Simmons
- Barbara Davis Center for Diabetes, University of Colorado, Denver, Colorado, USA
| | - Bruce Buckingham
- Division of Endocrinology and Diabetes, Department of Pediatrics, Stanford University Medical Center, Stanford, California, USA
| | - Khadija N Humayun
- Department of Pediatrics and Child Health, Aga Khan University, Karachi, Pakistan
| | - Jesper Johannsen
- Department of Pediatrics and Adolescent Medicine, Copenhagen University Hospital, Herlev and Steno Diabetes Center Copenhagen, Copenhagen, Denmark.,Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Reinhard W Holl
- Institute of Epidemiology and Medical Biometry, ZIBMT, University of Ulm, Ulm, Germany
| | - Shana Betz
- Parent/Advocate for people with diabetes, Markham, Canada
| | - Farid H Mahmud
- Hospital for Sick Children, University of Toronto, Toronto, Ontario, Canada
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17
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Stephens JW, Williams DM, Chudleigh R. Diabetes mellitus: what the neurologists need to know. Pract Neurol 2022; 22:532-539. [PMID: 35907634 DOI: 10.1136/pn-2022-003395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/05/2022] [Indexed: 11/04/2022]
Abstract
Diabetes mellitus is a common condition associated with numerous complications and comorbidities. The diabetes spectrum includes type 1, type 2 and other forms of diabetes, which may be associated with medical therapies and genetic factors. Type 2 diabetes is managed with lifestyle, oral therapies, non-insulin-based injectables and subsequently insulin. Type 1 diabetes requires insulin from the time of diagnosis. In recent years, there have been considerable developments in the therapies available to treat type 2 diabetes and some of these also afford cardiorenal protection. This review summarises the nature, complications and therapeutic advances in the field of diabetes and provides a concise review for neurologists. Managing diabetes optimally prevents complications and all medical specialties need a basic understanding of the principles involved in diabetes care.
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18
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Webb-Robertson BJM, Nakayasu ES, Frohnert BI, Bramer LM, Akers SM, Norris JM, Vehik K, Ziegler AG, Metz TO, Rich SS, Rewers MJ. Integration of Infant Metabolite, Genetic, and Islet Autoimmunity Signatures to Predict Type 1 Diabetes by Age 6 Years. J Clin Endocrinol Metab 2022; 107:2329-2338. [PMID: 35468213 PMCID: PMC9282254 DOI: 10.1210/clinem/dgac225] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Indexed: 02/08/2023]
Abstract
CONTEXT Biomarkers that can accurately predict risk of type 1 diabetes (T1D) in genetically predisposed children can facilitate interventions to delay or prevent the disease. OBJECTIVE This work aimed to determine if a combination of genetic, immunologic, and metabolic features, measured at infancy, can be used to predict the likelihood that a child will develop T1D by age 6 years. METHODS Newborns with human leukocyte antigen (HLA) typing were enrolled in the prospective birth cohort of The Environmental Determinants of Diabetes in the Young (TEDDY). TEDDY ascertained children in Finland, Germany, Sweden, and the United States. TEDDY children were either from the general population or from families with T1D with an HLA genotype associated with T1D specific to TEDDY eligibility criteria. From the TEDDY cohort there were 702 children will all data sources measured at ages 3, 6, and 9 months, 11.4% of whom progressed to T1D by age 6 years. The main outcome measure was a diagnosis of T1D as diagnosed by American Diabetes Association criteria. RESULTS Machine learning-based feature selection yielded classifiers based on disparate demographic, immunologic, genetic, and metabolite features. The accuracy of the model using all available data evaluated by the area under a receiver operating characteristic curve is 0.84. Reducing to only 3- and 9-month measurements did not reduce the area under the curve significantly. Metabolomics had the largest value when evaluating the accuracy at a low false-positive rate. CONCLUSION The metabolite features identified as important for progression to T1D by age 6 years point to altered sugar metabolism in infancy. Integrating this information with classic risk factors improves prediction of the progression to T1D in early childhood.
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Affiliation(s)
- Bobbie-Jo M Webb-Robertson
- Correspondence: Bobbie-Jo Webb-Robertson, PhD, Biological Sciences Division, Pacific Northwest National Laboratory, 902 Battelle Blvd, MSIN: J4-18, Richland, WA 99352, USA.
| | - Ernesto S Nakayasu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352,USA
| | - Brigitte I Frohnert
- Barbara Davis Center for Childhood Diabetes, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado 80045, USA
| | - Lisa M Bramer
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352,USA
| | - Sarah M Akers
- Computing & Analytics Division, Pacific Northwest National Laboratory, Richland, Washington 99352, USA
| | - Jill M Norris
- Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado 80045, USA
| | - Kendra Vehik
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, Florida 33612, USA
| | - Anette-G Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München, 85764 Neuherberg, Germany
- Kilinikum rechts der Isar, Technische Universität München, 80333 Munich, Germany
- Forschergruppe Diabetes e.V., 85764 Neuherberg, Germany
| | - Thomas O Metz
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352,USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, Virginia 22908,USA
| | - Marian J Rewers
- Barbara Davis Center for Childhood Diabetes, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado 80045, USA
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19
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Li Z, Veijola R, Koski E, Anand V, Martin F, Waugh K, Hyöty H, Winkler C, Killian MB, Lundgren M, Ng K, Maziarz M, Toppari J. Childhood Height Growth Rate Association With the Risk of Islet Autoimmunity and Development of Type 1 Diabetes. J Clin Endocrinol Metab 2022; 107:1520-1528. [PMID: 35244713 PMCID: PMC9113806 DOI: 10.1210/clinem/dgac121] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/08/2021] [Indexed: 12/26/2022]
Abstract
CONTEXT Rapid growth has been suggested to promote islet autoimmunity and progression to type 1 diabetes (T1D). Childhood growth has not been analyzed separately from the infant growth period in most previous studies, but it may have distinct features due to differences between the stages of development. OBJECTIVE We aimed to analyze the association of childhood growth with development of islet autoimmunity and progression to T1D diagnosis in children 1 to 8 years of age. METHODS Longitudinal data of childhood growth and development of islet autoimmunity and T1D were analyzed in a prospective cohort study including 10 145 children from Finland, Germany, Sweden, and the United States, 1-8 years of age with at least 3 height and weight measurements and at least 1 measurement of islet autoantibodies. The primary outcome was the appearance of islet autoimmunity and progression from islet autoimmunity to T1D. RESULTS Rapid increase in height (cm/year) was associated with increased risk of seroconversion to glutamic acid decarboxylase autoantibody, insulin autoantibody, or insulinoma-like antigen-2 autoantibody (hazard ratio [HR] = 1.26 [95% CI = 1.05, 1.51] for 1-3 years of age and HR = 1.48 [95% CI = 1.28, 1.73] for >3 years of age). Furthermore, height rate was positively associated with development of T1D (HR = 1.80 [95% CI = 1.15, 2.81]) in the analyses from seroconversion with insulin autoantibody to diabetes. CONCLUSION Rapid height growth rate in childhood is associated with increased risk of islet autoimmunity and progression to T1D. Further work is needed to investigate the biological mechanism that may explain this association.
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Affiliation(s)
- Zhiguo Li
- Center for Computational Health, IBM T.J. Watson Research Center, Yorktown Heights, 10598 NY, and Cambridge, MA, USA
- Zhiguo Li, PhD, Center for Computational Health, IBM T.J. Watson Research Center, Yorktown Heights, 10598 NY, USA.
| | - Riitta Veijola
- Department of Pediatrics, PEDEGO Research Unit, University of Oulu, 90014 Oulu, and Oulu University Hospital, Oulu, Finland
| | - Eileen Koski
- Center for Computational Health, IBM T.J. Watson Research Center, Yorktown Heights, 10598 NY, and Cambridge, MA, USA
| | - Vibha Anand
- Center for Computational Health, IBM T.J. Watson Research Center, Yorktown Heights, 10598 NY, and Cambridge, MA, USA
| | | | - Kathleen Waugh
- Barbara Davis Center for Diabetes, University of Colorado, Denver, CO, USA
| | - Heikki Hyöty
- Department of Virology, Faculty of Medicine and Health Technology, Tampere University, and Fimlab Laboratories, Pirkanmaa Hospital District, Tampere, Finland
| | - 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
- Forschergruppe Diabetes, Technical UniversityMunich, at Klinikum rechts der Isar, Munich, Germany
| | | | - Markus Lundgren
- Department of Clinical Sciences, Lund University Diabetes Center, Malmö, Sweden
- Department of Pediatrics, Kristianstad Hospital, Kristianstad, Sweden
| | - Kenney Ng
- Center for Computational Health, IBM T.J. Watson Research Center, Yorktown Heights, 10598 NY, and Cambridge, MA, USA
| | - Marlena Maziarz
- Department of Clinical Sciences, Lund University Diabetes Center, Malmö, Sweden
| | - Jorma Toppari
- Institute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, and Centre for Population Health Research, University of Turku, and Department of Pediatrics, Turku University Hospital, Turku, Finland
- Correspondence: Jorma Toppari, MD, PhD, Institute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, and Centre for Population Health Research, University of Turku, and Department of Pediatrics, Turku University Hospital, 20520 Turku, Finland.
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20
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Alazwari A, Abdollahian M, Tafakori L, Johnstone A, Alshumrani RA, Alhelal MT, Alsaheel AY, Almoosa ES, Alkhaldi AR. Predicting age at onset of type 1 diabetes in children using regression, artificial neural network and Random Forest: A case study in Saudi Arabia. PLoS One 2022; 17:e0264118. [PMID: 35226685 PMCID: PMC8884498 DOI: 10.1371/journal.pone.0264118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Accepted: 02/03/2022] [Indexed: 11/18/2022] Open
Abstract
The rising incidence of type 1 diabetes (T1D) among children is an increasing concern globally. A reliable estimate of the age at onset of T1D in children would facilitate intervention plans for medical practitioners to reduce the problems with delayed diagnosis of T1D. This paper has utilised Multiple Linear Regression (MLR), Artificial Neural Network (ANN) and Random Forest (RF) to model and predict the age at onset of T1D in children in Saudi Arabia (S.A.) which is ranked as the 7th for the highest number of T1D and 5th in the world for the incidence rate of T1D. De-identified data between (2010-2020) from three cities in S.A. were used to model and predict the age at onset of T1D. The best subset model selection criteria, coefficient of determination, and diagnostic tests were deployed to select the most significant variables. The efficacy of models for predicting the age at onset was assessed using multi-prediction accuracy measures. The average age at onset of T1D is 6.2 years and the most common age group for onset is (5-9) years. Most of the children in the sample (68%) are from urban areas of S.A., 75% were delivered after a full term pregnancy length and 31% were delivered through a cesarean section. The models of best fit were the MLR and RF models with R2 = (0.85 and 0.95), the root mean square error = (0.25 and 0.15) and mean absolute error = (0.19 and 0.11) respectively for logarithm of age at onset. This study for the first time has utilised MLR, ANN and RF models to predict the age at onset of T1D in children in S.A. These models can effectively aid health care providers to monitor and create intervention strategies to reduce the impact of T1D in children in S.A.
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Affiliation(s)
- Ahood Alazwari
- School of Science, RMIT University, Melbourne, Victoria, Australia
- School of Science, Al-Baha University, Moundq, Saudi Arabia
- * E-mail:
| | - Mali Abdollahian
- School of Science, RMIT University, Melbourne, Victoria, Australia
| | - Laleh Tafakori
- School of Science, RMIT University, Melbourne, Victoria, Australia
| | - Alice Johnstone
- School of Science, RMIT University, Melbourne, Victoria, Australia
| | - Rahma A. Alshumrani
- Pediatric Endocrine Department, Al Aziziyah Maternal and Children Hospital, Jeddah, Saudi Arabia
| | - Manal T. Alhelal
- Pediatric Endocrine Department, Maternal and Children Hospital, Al-Ahsa, Saudi Arabia
| | | | - Eman S. Almoosa
- Pediatric Endocrine Department, Maternal and Children Hospital, Al-Ahsa, Saudi Arabia
| | - Aseel R. Alkhaldi
- Pediatric Endocrine Department, King Fahad Medical City (KFMC), Riyadh, Saudi Arabia
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21
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Koren D. Growth and development in type 1 diabetes. Curr Opin Endocrinol Diabetes Obes 2022; 29:57-64. [PMID: 34864760 DOI: 10.1097/med.0000000000000694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW The purpose of this review is to summarize the current literature on the subject of linear growth in children and adolescents with or at risk for type 1 diabetes mellitus (T1DM). RECENT FINDINGS Poor glycemic control in T1DM is associated with growth hormone resistance, and improving glycemic control can improve linear growth. Newer reports suggest that the increasingly popular very low carbohydrate diets, may reduce linear growth velocity. SUMMARY Linear growth during childhood is a complex process regulated influenced by genetic, hormonal, nutritional and environmental factors. Linear growth may be impaired in children with T1DM, correlating with poor metabolic control; an extreme example is Mauriac syndrome. This decrement in linear growth appears to be driven in part by a reduction in growth hormone responsiveness, leading to low insulin-like growth factor-1 (IGF-1) levels. Improving glycemic control can lead to improved IGF-1 levels and linear growth. Other factors associated with poor linear growth in T1DM include celiac disease and dietary alterations, with early reports suggesting that very low carbohydrate diets, if not carefully managed, may increase risk of attenuated linear growth. This review examines the latest data regarding the associations between T1DM and linear growth in children.
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Affiliation(s)
- Dorit Koren
- Massachusetts General Hospital Pediatric Endocrine Unit and Harvard University, Boston, Massachusetts, USA
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22
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Quinn LM, Wong FS, Narendran P. Environmental Determinants of Type 1 Diabetes: From Association to Proving Causality. Front Immunol 2021; 12:737964. [PMID: 34659229 PMCID: PMC8518604 DOI: 10.3389/fimmu.2021.737964] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2021] [Accepted: 09/08/2021] [Indexed: 12/16/2022] Open
Abstract
The rising incidence of type 1 diabetes (T1D) cannot be ascribed to genetics alone, and causative environmental triggers and drivers must also be contributing. The prospective TEDDY study has provided the greatest contributions in modern time, by addressing misconceptions and refining the search strategy for the future. This review outlines the evidence to date to support the pathways from association to causality, across all stages of T1D (seroconversion to beta cell failure). We focus on infections and vaccinations; infant growth and childhood obesity; the gut microbiome and the lifestyle factors which cultivate it. Of these, the environmental determinants which have the most supporting evidence are enterovirus infection, rapid weight gain in early life, and the microbiome. We provide an infographic illustrating the key environmental determinants in T1D and their likelihood of effect. The next steps are to investigate these environmental triggers, ideally though gold-standard randomised controlled trials and further prospective studies, to help explore public health prevention strategies.
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Affiliation(s)
- Lauren M Quinn
- Institute of Immunology and Immunotherapy, Research College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom.,Diabetes Research Group, Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, United Kingdom
| | - F Susan Wong
- Department of Diabetes, University Hospitals of Birmingham NHS Foundation Trust, Birmingham, United Kingdom
| | - Parth Narendran
- Institute of Immunology and Immunotherapy, Research College of Medical and Dental Sciences, University of Birmingham, Birmingham, United Kingdom.,Diabetes Research Group, Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, United Kingdom
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23
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Eleftheriou A, Petry CJ, Hughes IA, Ong KK, Dunger DB. The High-Risk Type 1 Diabetes HLA-DR and HLA-DQ Polymorphisms Are Differentially Associated With Growth and IGF-I Levels in Infancy: The Cambridge Baby Growth Study. Diabetes Care 2021; 44:1852-1859. [PMID: 34172490 DOI: 10.2337/dc20-2820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2020] [Accepted: 05/05/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE This study explored the link between HLA polymorphisms that predispose to type 1 diabetes and birth size, infancy growth, and/or circulating IGF-I in a general population-based birth cohort. RESEARCH DESIGN AND METHODS The Cambridge Baby Growth Study is a prospective observational birth cohort study that recruited 2,229 newborns for follow-up in infancy. Of these, 612 children had DNA available for genotyping single nucleotide polymorphisms in the HLA region that capture the highest risk of type 1 diabetes: rs17426593 for DR4, rs2187668 for DR3, and rs7454108 for DQ8. Multivariate linear regression models at critical ages (cross-sectional) and mixed-effects models (longitudinal) were performed under additive genetic effects to test for associations between HLA polymorphisms and infancy weight, length, skinfold thickness (indicator of adiposity), and concentrations of IGF-I and IGF-binding protein-3 (IGFBP-3). RESULTS In longitudinal models, the minor allele of rs2187668 tagging DR3 was associated with faster linear growth (P = 0.007), which was more pronounced in boys (P = 3 × 10-7) than girls (P = 0.07), and was also associated with increasing IGF-I (P = 0.002) and IGFBP-3 (P = 0.003) concentrations in infancy. Cross-sectionally, the minor alleles of rs7454108 tagging DQ8 and rs17426593 tagging DR4 were associated with lower IGF-I concentrations at age 12 months (P = 0.003) and greater skinfold thickness at age 24 months (P = 0.003), respectively. CONCLUSIONS The variable associations of DR4, DR3, and DQ8 alleles with growth measures and IGF-I levels in infants from the general population could explain the heterogeneous growth trajectories observed in genetically at-risk cohorts. These findings could suggest distinct mechanisms involving endocrine pathways related to the HLA-conferred type 1 diabetes risk.
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Affiliation(s)
| | - Clive J Petry
- Department of Paediatrics, University of Cambridge, Cambridge, U.K
| | - Ieuan A Hughes
- Department of Paediatrics, University of Cambridge, Cambridge, U.K
| | - Ken K Ong
- Department of Paediatrics, University of Cambridge, Cambridge, U.K.,MRC Epidemiology Unit, Institute of Metabolic Science, University of Cambridge, Cambridge, U.K.,Institute of Metabolic Science, University of Cambridge, Cambridge, U.K
| | - David B Dunger
- Department of Paediatrics, University of Cambridge, Cambridge, U.K. .,Institute of Metabolic Science, University of Cambridge, Cambridge, U.K
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24
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Abstract
As part of the centennial celebration of insulin's discovery, this review summarizes the current understanding of the genetics, pathogenesis, treatment, and outcomes in type 1 diabetes (T1D). T1D results from an autoimmune response that leads to destruction of the β cells in the pancreatic islet and requires lifelong insulin therapy. While much has been learned about T1D, it is now clear that there is considerable heterogeneity in T1D with regard to genetics, pathology, response to immune-based therapies, clinical course, and susceptibility to diabetes-related complications. This Review highlights knowledge gaps and opportunities to improve the understanding of T1D pathogenesis and outlines emerging therapies to treat or prevent T1D and reduce the burden of T1D.
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25
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Saito T, Kobayashi K, Kobayashi K, Mochizuki M, Yagasaki H, Makino K, Narusawa H, Watanabe D, Mitsui Y, Sato K, Sano T, Ohta M, Yokomichi H, Amemiya S. Incidence of childhood type 1 diabetes mellitus in Yamanashi Prefecture, Japan, 1986-2018. Endocrinol Diabetes Metab 2021; 4:e00214. [PMID: 33855216 PMCID: PMC8029530 DOI: 10.1002/edm2.214] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2020] [Revised: 10/19/2020] [Accepted: 11/19/2020] [Indexed: 11/27/2022] Open
Abstract
Introduction Several studies have examined the incidence of childhood T1DM in Japan from the 1970s onwards, but none have been long-term studies using registration data. We estimate the incidence of childhood type 1 diabetes mellitus (T1DM) from 1986 to 2018 in Yamanashi Prefecture, Japan. Methods We began a population-based, long-term study of childhood T1DM in 1986 involving every hospital paediatrics department in Yamanashi Prefecture. In the Prefecture, every child newly diagnosed with T1DM is referred to a hospital, and therefore, almost 100% of new patients aged <15 years are registered. We calculated the incidence of T1DM among children aged <15 years from 1986 to 2018. All cases met the Japan Diabetes Society diagnostic criteria and were tested for T1DM-related autoantibodies whenever possible. Results Ninety-nine patients (44 boys and 55 girls) were newly diagnosed with T1DM. The annual incidence among 5- to 9-year-olds increased by 5.35% over the study period (95% confidence interval 2.34%-8.35%, p = .0005), and there was a trend towards increasing 3-year incidence (15.52% increase, p = .0516). There were also trends towards increasing annual and 3-year incidence among 0- to 14-year-olds. However, there were no changes over time in annual or 3-year incidence in the 0-4 year or 10-14 year age groups. Conclusions The incidence of T1DM in Yamanashi Prefecture increased among children aged 0-14 years over the study period, with the most significant increase occurring among 5- to 9-year-olds. These data suggest that the number of children aged <15 years with T1DM is gradually increasing in one of the local prefectures in Japan, Yamanashi Prefecture and that the age of onset is decreasing.
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Affiliation(s)
- Tomohiro Saito
- Department of PediatricsFaculty of MedicineGraduate School of MedicineUniversity of YamanashiYamanashiJapan
- Department of PediatricsYamanashi Prefectural HospitalYamanashiJapan
| | - Koji Kobayashi
- Department of PediatricsFaculty of MedicineGraduate School of MedicineUniversity of YamanashiYamanashiJapan
- Department of PediatricsYamanashi Kosei HospitalYamanashiJapan
| | - Kisho Kobayashi
- Department of PediatricsFaculty of MedicineGraduate School of MedicineUniversity of YamanashiYamanashiJapan
- Kobanyashi Kids’ ClinicYamanashiJapan
| | - Mie Mochizuki
- Department of PediatricsFaculty of MedicineGraduate School of MedicineUniversity of YamanashiYamanashiJapan
- Department of PediatricsKyonan Medical Center Fujikawa HospitalYamanashiJapan
| | - Hideaki Yagasaki
- Department of PediatricsFaculty of MedicineGraduate School of MedicineUniversity of YamanashiYamanashiJapan
| | - Koichi Makino
- Department of PediatricsFaculty of MedicineGraduate School of MedicineUniversity of YamanashiYamanashiJapan
- Department of PediatricsFujiyoshida Municipal HospitalYamanashiJapan
| | - Hiromune Narusawa
- Department of PediatricsFaculty of MedicineGraduate School of MedicineUniversity of YamanashiYamanashiJapan
| | - Daisuke Watanabe
- Department of PediatricsFaculty of MedicineGraduate School of MedicineUniversity of YamanashiYamanashiJapan
- Department of PediatricsYamanashi Prefectural HospitalYamanashiJapan
| | - Yumiko Mitsui
- Department of PediatricsFaculty of MedicineGraduate School of MedicineUniversity of YamanashiYamanashiJapan
- Ryuoh Mitsui ClinicYamanashiJapan
| | - Kazumasa Sato
- Department of PediatricsFaculty of MedicineGraduate School of MedicineUniversity of YamanashiYamanashiJapan
- Department of PediatricsKyonan Medical Center Fujikawa HospitalYamanashiJapan
| | - Tomoaki Sano
- Department of PediatricsFaculty of MedicineGraduate School of MedicineUniversity of YamanashiYamanashiJapan
- Department of PediatricsYamanashi Red Cross HospitalYamanashiJapan
| | - Masanori Ohta
- Department of PediatricsFaculty of MedicineGraduate School of MedicineUniversity of YamanashiYamanashiJapan
- Department of PediatricsTsuru Municipal General HospitalYamanashiJapan
| | - Hiroshi Yokomichi
- Department of Health SciencesFaculty of MedicineGraduate School of MedicineUniversity of YamanashiYamanashiJapan
| | - Shin Amemiya
- Department of PediatricsFaculty of MedicineSaitama Medical UniversitySaitamaJapan
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26
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Nucci AM, Virtanen SM, Cuthbertson D, Ludvigsson J, Einberg U, Huot C, Castano L, Aschemeier B, Becker DJ, Knip M, Krischer JP. Growth and development of islet autoimmunity and type 1 diabetes in children genetically at risk. Diabetologia 2021; 64:826-835. [PMID: 33474583 PMCID: PMC7940594 DOI: 10.1007/s00125-020-05358-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 10/27/2020] [Indexed: 12/30/2022]
Abstract
AIMS/HYPOTHESIS We aimed to evaluate the relationship between childhood growth measures and risk of developing islet autoimmunity (IA) and type 1 diabetes in children with an affected first-degree relative and increased HLA-conferred risk. We hypothesised that being overweight or obese during childhood is associated with a greater risk of IA and type 1 diabetes. METHODS Participants in a randomised infant feeding trial (N = 2149) were measured at 12 month intervals for weight and length/height and followed for IA (at least one positive out of insulin autoantibodies, islet antigen-2 autoantibody, GAD autoantibody and zinc transporter 8 autoantibody) and development of type 1 diabetes from birth to 10-14 years. In this secondary analysis, Cox proportional hazard regression models were adjusted for birthweight and length z score, sex, HLA risk, maternal type 1 diabetes, mode of delivery and breastfeeding duration, and stratified by residence region (Australia, Canada, Northern Europe, Southern Europe, Central Europe and the USA). Longitudinal exposures were studied both by time-varying Cox proportional hazard regression and by joint modelling. Multiple testing was considered using family-wise error rate at 0.05. RESULTS In the Trial to Reduce IDDM in the Genetically at Risk (TRIGR) population, 305 (14.2%) developed IA and 172 (8%) developed type 1 diabetes. The proportions of children overweight (including obese) and obese only were 28% and 9% at 10 years, respectively. Annual growth measures were not associated with IA, but being overweight at 2-10 years of life was associated with a twofold increase in the development of type 1 diabetes (HR 2.39; 95% CI 1.46, 3.92; p < 0.001 in time-varying Cox regression), and similarly with joint modelling. CONCLUSIONS/INTERPRETATION In children at genetic risk of type 1 diabetes, being overweight at 2-10 years of age is associated with increased risk of progression from multiple IA to type 1 diabetes and with development of type 1 diabetes, but not with development of IA. Future studies should assess the impact of weight management strategies on these outcomes. TRIAL REGISTRATION ClinicalTrials.gov NCT00179777.
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Affiliation(s)
- Anita M Nucci
- Department of Nutrition, Georgia State University, Atlanta, GA, USA
| | - Suvi M Virtanen
- Welfare and Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
- 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
- The Science Center of Pirkanmaa Hospital District, Tampere, Finland
| | - David Cuthbertson
- Pediatrics Epidemiology Center, University of South Florida, Tampa, FL, USA
| | - Johnny Ludvigsson
- Crown Princess Victoria Children’s Hospital and Division of Pediatrics, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden
| | | | | | - Luis Castano
- Cruces, University Hospital, Biocruces Bizkaia Research Institute, UPV/EHU, CIBERDEM, CIBERER, Endo-ERN, Bilbao-Bizkaia, Spain
| | - Bärbel Aschemeier
- Diabetes Centre for Children and Adolescents, Children’s and Adolescent’s Hospital AUF DER BULT, Hannover, Germany
| | - Dorothy J Becker
- Division of Endocrinology, University of Pittsburgh and UPMC Children’s Hospital of Pittsburgh, Pittsburgh, PA, USA
| | - Mikael Knip
- 3ediatric 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
- Folkhälsan Research Center, Helsinki, Finland
- Department of Pediatrics, Tampere University Hospital, Tampere, Finland
| | - Jeffrey P Krischer
- Pediatrics Epidemiology Center, University of South Florida, Tampa, FL, USA
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27
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Pacaud D, Nucci AM, Cuthbertson D, Becker DJ, Virtanen SM, Ludvigsson J, Ilonen J, Knip M. Association between family history, early growth and the risk of beta cell autoimmunity in children at risk for type 1 diabetes. Diabetologia 2021; 64:119-128. [PMID: 33026463 PMCID: PMC7716821 DOI: 10.1007/s00125-020-05287-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Accepted: 08/07/2020] [Indexed: 12/30/2022]
Abstract
AIMS/HYPOTHESIS The aim of this work was to examine the relationship between family history of type 1 diabetes, birthweight, growth during the first 2 years and development of multiple beta cell autoantibodies in children with a first-degree relative with type 1 diabetes and HLA-conferred disease susceptibility. METHODS In a secondary analysis of the Trial to Reduce IDDM in the Genetically at Risk (TRIGR), clinical characteristics and development of beta cell autoantibodies were compared in relation to family history of type 1 diabetes (mother vs father vs sibling) in 2074 children from families with a single affected family member. RESULTS Multiple autoantibodies (≥2 of 5 measured) developed in 277 (13%) children: 107 (10%), 114 (16%) and 56 (18%) born with a mother, father or sibling with type 1 diabetes, respectively (p < 0.001). The HR for time to multiple autoimmunity was 0.54 (95% CI 0.39, 0.75) in offspring of affected mothers (n = 107/1046, p < 0.001) and 0.81 (95% CI 0.59, 1.11) (n = 114/722, p = 0.19) in offspring of affected fathers, compared with participants with a sibling with type 1 diabetes (comparator group n = 56/306). The time to the first autoantibody present (to insulin, GAD, tyrosine phosphatase-related insulinoma-associated 2 molecules, islet cell or zinc transporter 8) was similar in the three groups. Height velocity (z score/year) in the first 24 months was independently associated with developing multiple antibodies in the total cohort (HR 1.31 [95% CI 1.01, 1.70], p = 0.04). A higher birthweight in children born to an affected mother vs affected father or an affected sibling was not related to the risk of multiple autoimmunity. CONCLUSIONS/INTERPRETATION The risk of developing multiple autoantibodies was lower in children with maternal type 1 diabetes. For the whole group, this risk of developing multiple autoantibodies was independent of birthweight but was greater in those with increased height velocity during the first 2 years of life. However, the risk associated with paternal type 1 diabetes was not linked to differences in birthweight or early growth. TRIAL REGISTRATION ClinicalTrials.gov NCT00179777 Graphical abstract.
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Affiliation(s)
- Danièle Pacaud
- Department of Pediatrics, Alberta Children’s Hospital, University of Calgary, Calgary, AB Canada
| | - Anita M. Nucci
- Department of Nutrition, Georgia State University, Atlanta, GA USA
| | - David Cuthbertson
- Pediatrics Epidemiology Center, University of South Florida, Tampa, FL USA
| | - Dorothy J. Becker
- Division of Endocrinology, University of Pittsburgh and UPMC Children’s Hospital of Pittsburgh, Pittsburgh, PA USA
| | - Suvi M. Virtanen
- Public Health Promotion Unit, National Institute for Health and Welfare, Helsinki, Finland
- Faculty of Social Sciences/Health, Tampere University, Tampere, Finland
- Center for Child Health Research, Tampere University, Tampere, Finland
- Research, Development and Innovation Centre, Tampere University Hospital, Tampere, Finland
| | - Johnny Ludvigsson
- Crown Princess Victoria Children’s Hospital, Region Östergötland and Division of Pediatrics, Department of Clinical Experimental Medicine, Linkoping University, Linkoping, Sweden
| | - Jorma Ilonen
- Immunogenetics Laboratory, Institute of Biomedicine, University of Turku, Turku, Finland
- Clinical Microbiology, Turku University Hospital, Turku, 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
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28
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Huang K, Si S, Chen R, Wang C, Chen S, Liang Y, Yao H, Zheng R, Liu F, Cao B, Su Z, Mireguli M, Luo F, Li P, Du H, Zhu M, Yang Y, Cui L, Yu Y, Fu J. Preterm Birth and Birth Weight and the Risk of Type 1 Diabetes in Chinese Children. Front Endocrinol (Lausanne) 2021; 12:603277. [PMID: 33935963 PMCID: PMC8079970 DOI: 10.3389/fendo.2021.603277] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2020] [Accepted: 03/12/2021] [Indexed: 01/27/2023] Open
Abstract
AIMS Findings from previous studies about the association of preterm birth as well as birth weight with the risk of T1DM were still inconsistent. We aimed to further clarify these associations based on Chinese children and explore the role of gender therein. METHODS A nationwide multicenter and population-based large cross-sectional study was conducted in China from 2017 to 2019. Children aged between 3 and 18 years old with complete information were included in this analysis. Multiple Poisson regression models were used for evaluating the associations of birth weight as well as preterm birth with T1DM in children. RESULTS Out of 181,786 children, 82 childhood T1DM cases were identified from questionnaire survey. Children with preterm birth (<37 weeks) had higher risk of type 1 diabetes (OR: 3.17, 95%CI: 1.76-5.71). Children born with high birth weight (≥4,000g) had no statistically significant risk of T1DM (OR:1.71, 95%CI: 0.90-3.22). However, children's gender might modify the effect of high birth weight on T1DM (girls: OR: 3.15, 95%CI: 1.33-7.47; boys: OR: 0.99, 95%CI: 0.38-2.55, p for interaction=0.065). In addition, children with low birth weight were not associated with T1DM (OR: 0.70, 95%CI: 0.24-2.08). The findings from matched data had the similar trend. CONCLUSIONS In China mainland, preterm birth increased the risk of childhood T1DM, but high birth weight only affected girls. Therefore, early prevention of T1DM may start with prenatal care to avoid adverse birth outcomes and more attention should be paid to children with preterm birth and girls with high birth weight after birth.
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Affiliation(s)
- Ke Huang
- Department of Endocrinology, National Clinical Research Center for Child Health, The Children’s Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Shuting Si
- Department of Public Health, and Department of Anesthesiology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
- Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, China
| | - Ruimin Chen
- Department of Endocrinology, Children’s Hospital of Fuzhou, Fuzhou, China
| | - Chunlin Wang
- Department of Pediatric, The First Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
| | - Shaoke Chen
- Department of Pediatric, Maternal and Child Health, Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Yan Liang
- Department of Pediatric, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hui Yao
- Department of Pediatric, Wuhan Children’s Hospital, Tongji Medical College, Huazhong University of Science & Technology, Wuhan, China
| | - Rongxiu Zheng
- Department of Pediatric, Tianjin Medical University General Hospital, Tianjin, China
| | - Fang Liu
- Department of Endocrinology, Zhengzhou Children’s Hospital, Zhenzhou, China
| | - Binyan Cao
- Department of Endocrinology, National Medical Center for Children’s Health, Beijing Children’s Hospital, Capital Medical University, Beijing, China
| | - Zhe Su
- Department of Endocrinology, Shenzhen Children’s Hospital, Shenzhen, China
| | - Maimaiti Mireguli
- Department of Pediatric, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Feihong Luo
- Department of Pediatric Endocrinology and Inherited Metabolic Diseases, Children’s Hospital of Fudan University, Shanghai, China
| | - Pin Li
- Department of Endocrinology, Children’s Hospital of Shanghai Jiaotong University, Shanghai, China
| | - Hongwei Du
- Department of Pediatric Endocrinology, The First Bethune Hospital of Jilin University, Changchun, China
| | - Min Zhu
- Department of Endocrinology, Children’s Hospital of Chongqing Medical University, Chongqing, China
| | - Yu Yang
- Department of Endocrinology, Jiangxi Provincial Children’s Hospital, Nanchang, China
| | - Lanwei Cui
- Department of Pediatric, The First Affiliated Hospital of Harbin Medical University, Harbin, China
| | - Yunxian Yu
- Department of Public Health, and Department of Anesthesiology, Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China
- Department of Epidemiology & Health Statistics, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, China
- *Correspondence: Yunxian Yu, ; Junfen Fu,
| | - Junfen Fu
- Department of Endocrinology, National Clinical Research Center for Child Health, The Children’s Hospital of Zhejiang University School of Medicine, Hangzhou, China
- *Correspondence: Yunxian Yu, ; Junfen Fu,
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March CA, Becker DJ, Libman IM. Nutrition and Obesity in the Pathogenesis of Youth-Onset Type 1 Diabetes and Its Complications. Front Endocrinol (Lausanne) 2021; 12:622901. [PMID: 33828529 PMCID: PMC8021094 DOI: 10.3389/fendo.2021.622901] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Accepted: 02/15/2021] [Indexed: 12/15/2022] Open
Abstract
Since the 1980s, there has been a dramatic rise in the prevalence of overweight and obesity in pediatric populations, in large part driven by sedentary lifestyles and changing dietary patterns with more processed foods. In parallel with the rise in pediatric obesity in the general population, the prevalence of overweight and obesity has increased among children and adolescents with type 1 diabetes. Adiposity has been implicated in a variety of mechanisms both potentiating the risk for type 1 diabetes as well as exacerbating long-term complications, particularly cardiovascular disease. Treatment options targeting the unique needs of obese pediatric patients, both before and after diagnosis of type 1 diabetes, are limited. In this review, we discuss the history of the epidemiology of the obesity epidemic in the context of pediatric type 1 diabetes, highlight the possible role of obesity in type 1 diabetes pathogenesis and review the concept of "double diabetes". The impact of obesity at and after diagnosis will be discussed, including noted differences in clinical and biochemical markers, lipid abnormalities, and long-term cardiovascular complications. Finally, we will review the existing literature on pharmacologic and nutritional interventions as potential treatment strategies for youth with coexisting type 1 diabetes and obesity.
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30
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Li Q, Liu X, Yang J, Erlund I, Lernmark Å, Hagopian W, Rewers M, She JX, Toppari J, Ziegler AG, Akolkar B, Krischer JP. Plasma Metabolome and Circulating Vitamins Stratified Onset Age of an Initial Islet Autoantibody and Progression to Type 1 Diabetes: The TEDDY Study. Diabetes 2021; 70:282-292. [PMID: 33106256 PMCID: PMC7876562 DOI: 10.2337/db20-0696] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Accepted: 10/20/2020] [Indexed: 12/11/2022]
Abstract
Children's plasma metabolome, especially lipidome, reflects gene regulation and dietary exposures, heralding the development of islet autoantibodies (IA) and type 1 diabetes (T1D). The Environmental Determinants of Diabetes in the Young (TEDDY) study enrolled 8,676 newborns by screening of HLA-DR-DQ genotypes at six clinical centers in four countries, profiled metabolome, and measured concentrations of ascorbic acid, 25-hydroxyvitamin D [25(OH)D], and erythrocyte membrane fatty acids following birth until IA seroconversion under a nested case-control design. We grouped children having an initial autoantibody only against insulin (IAA-first) or GAD (GADA-first) by unsupervised clustering of temporal lipidome, identifying a subgroup of children having early onset of each initial autoantibody, i.e., IAA-first by 12 months and GADA-first by 21 months, consistent with population-wide early seroconversion age. Differential analysis showed that infants having reduced plasma ascorbic acid and cholesterol experienced IAA-first earlier, while early onset of GADA-first was preceded by reduced sphingomyelins at infancy. Plasma 25(OH)D prior to either autoantibody was lower in T1D progressors compared with nonprogressors, with simultaneous lower diglycerides, lysophosphatidylcholines, triglycerides, and alanine before GADA-first. Plasma ascorbic acid and 25(OH)D at infancy were lower in HLA-DR3/DR4 children among IA case subjects but not in matched control subjects, implying gene expression dysregulation of circulating vitamins as latent signals for IA or T1D progression.
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Affiliation(s)
- Qian Li
- Health Informatics Institute, University of South Florida, Tampa, FL
| | - Xiang Liu
- Health Informatics Institute, University of South Florida, Tampa, FL
| | - Jimin Yang
- Health Informatics Institute, University of South Florida, Tampa, FL
| | - Iris Erlund
- Department of Government Services, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Åke Lernmark
- Department of Clinical Sciences, Clinical Research Centre, Skåne University Hospital, Lund University, Malmö, Sweden
| | | | - Marian Rewers
- Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, CO
| | - Jin-Xiong She
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA
| | - Jorma Toppari
- Department of Pediatrics, Turku University Hospital, Turku, Finland
- Department of Physiology, University of Turku, Turku, Finland
| | - Anette-G Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München, Munich, Germany
- Forschergruppe Diabetes, Technical University of Munich, Klinikum Rechts der Isar, Munich, Germany
- Forschergruppe Diabetes e.V. at Helmholtz Zentrum München, Munich, Germany
| | - Beena Akolkar
- National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD
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