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Salo TE, Hakola L, Niinistö S, Takkinen HM, Ahonen S, Puustinen L, Ilonen J, Toppari J, Veijola R, Hyöty H, Knip M, Virtanen SM. Gut Inflammation Markers, Diet, and Risk of Islet Autoimmunity in Finnish Children - A Nested Case-Control Study. J Nutr 2024; 154:2244-2254. [PMID: 38795745 PMCID: PMC11282497 DOI: 10.1016/j.tjnut.2024.05.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 04/19/2024] [Accepted: 05/18/2024] [Indexed: 05/28/2024] Open
Abstract
BACKGROUND Gut dysbiosis and increased intestinal permeability have been reported to precede type 1 diabetes-related autoimmunity. The role of gut inflammation in autoimmunity is not understood. OBJECTIVES This study aimed to assess whether gut inflammation markers are associated with risk of islet autoimmunity and whether diet is associated with gut inflammation markers. METHODS A nested case-control sample of 75 case children with islet autoimmunity and 88 control children was acquired from the Finnish Type 1 Diabetes Prediction and Prevention cohort. Diet was assessed with 3-d food records, and calprotectin and human β-defensin-2 (HBD-2) were analyzed from stool samples at 6 and 12 mo of age. Conditional logistic regression analysis was used in a matched case-control setting to assess risk of autoimmunity. Analysis of variance, independent samples t test, and a general linear model were used in secondary analyses to test associations of background characteristics and dietary factors with inflammation markers. RESULTS In unadjusted analyses, calprotectin was not associated with risk of islet autoimmunity, whereas HBD-2 in the middle (odds ratio [OR]: 3.23; 95% confidence interval [CI]: 1.03, 10.08) or highest tertile (OR: 3.02; 95% CI: 1.05, 8.69) in comparison to the lowest at 12 mo of age showed borderline association (P-trend = 0.063) with higher risk of islet autoimmunity. Excluding children with cow milk allergy in sensitivity analyses strengthened the association of HBD-2 with islet autoimmunity, whereas adjusting for dietary factors and maternal education weakened it. At age 12 mo, higher fat intake was associated with higher HBD-2 (β: 0.219; 95% CI: 0.110, 0.328) and higher intake of dietary fiber (β: -0.294; 95% CI: -0.510, -0.078), magnesium (β: -0.036; 95% CI: -0.059, -0.014), and potassium (β: -0.003; 95% CI: -0.005, -0.001) with lower HBD-2. CONCLUSIONS Higher HBD-2 in infancy may be associated with higher risk of islet autoimmunity. Dietary factors play a role in gut inflammatory status.
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Affiliation(s)
- Tuuli Ei Salo
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland; Unit of Health Sciences, Faculty of Social Sciences, Tampere University, Tampere, Finland.
| | - Leena Hakola
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland; Unit of Health Sciences, Faculty of Social Sciences, Tampere University, Tampere, Finland; Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland
| | - Sari Niinistö
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Hanna-Mari Takkinen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland; Unit of Health Sciences, Faculty of Social Sciences, Tampere University, Tampere, Finland; Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland
| | - Suvi Ahonen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland; Unit of Health Sciences, Faculty of Social Sciences, Tampere University, Tampere, Finland; Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland
| | - Leena Puustinen
- Department of Virology, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Jorma Ilonen
- Immunogenetics Laboratory, Institute of Biomedicine, University of Turku, Turku, Finland
| | - Jorma Toppari
- Research Centre for Integrative Physiology and Pharmacology, Institute of Biomedicine, and Centre for Population Health Research, University of Turku, Turku, Finland; Department of Pediatrics, Turku University Hospital, Turku, Finland
| | - Riitta Veijola
- Department of Pediatrics, PEDEGO Research Unit, Medical Research Center Oulu, University of Oulu and Oulu University Hospital, Oulu, Finland; Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland
| | - Heikki Hyöty
- Department of Virology, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; Fimlab laboratories, Tampere, 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; Department of Pediatrics, Tampere University Hospital, Tampere, Finland
| | - Suvi M Virtanen
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland; Unit of Health Sciences, Faculty of Social Sciences, Tampere University, Tampere, Finland; Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland; Center for Child Health Research, Tampere University and Tampere University Hospital, Tampere, Finland
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2
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Hakola L, Mramba LK, Uusitalo U, Andrén Aronsson C, Hummel S, Niinistö S, Erlund I, Yang J, Rewers MJ, Akolkar B, McIndoe RA, Rich SS, Hagopian WA, Ziegler A, Lernmark Å, Toppari J, Krischer JP, Norris JM, Virtanen SM. Intake of B vitamins and the risk of developing islet autoimmunity and type 1 diabetes in the TEDDY study. Eur J Nutr 2024; 63:1329-1338. [PMID: 38413484 PMCID: PMC11139689 DOI: 10.1007/s00394-024-03346-6] [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: 09/29/2023] [Accepted: 01/20/2024] [Indexed: 02/29/2024]
Abstract
PURPOSE The aim was to study the association between dietary intake of B vitamins in childhood and the risk of islet autoimmunity (IA) and progression to type 1 diabetes (T1D) by the age of 10 years. METHODS We followed 8500 T1D-susceptible children born in the U.S., Finland, Sweden, and Germany in 2004 -2010 from the Environmental Determinants of Diabetes in the Young (TEDDY) study, which is a prospective observational birth cohort. Dietary intake of seven B vitamins was calculated from foods and dietary supplements based on 24-h recall at 3 months and 3-day food records collected regularly from 6 months to 10 years of age. Cox proportional hazard models were adjusted for energy, HLA-genotype, first-degree relative with T1D, sex, and country. RESULTS A total of 778 (9.2) children developed at least one autoantibody (any IA), and 335 (3.9%) developed multiple autoantibodies. 280 (3.3%) children had IAA and 319 (3.8%) GADA as the first autoantibody. 344 (44%) children with IA progressed to T1D. We observed that higher intake of niacin was associated with a decreased risk of developing multiple autoantibodies (HR 0.95; 95% CI 0.92, 0.98) per 1 mg/1000 kcal in niacin intake. Higher intake of pyridoxine (HR 0.66; 95% CI 0.46, 0.96) and vitamin B12 (HR 0.87; 95% CI 0.77, 0.97) was associated with a decreased risk of IAA-first autoimmunity. Higher intake of riboflavin (HR 1.38; 95% CI 1.05, 1.80) was associated with an increased risk of GADA-first autoimmunity. There were no associations between any of the B vitamins and the outcomes "any IA" and progression from IA to T1D. CONCLUSION: In this multinational, prospective birth cohort of children with genetic susceptibility to T1D, we observed some direct and inverse associations between different B vitamins and risk of IA.
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Affiliation(s)
- Leena Hakola
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, 33014, Tampere, Finland.
- Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland.
| | - Lazarus K Mramba
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Ulla Uusitalo
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Carin Andrén Aronsson
- Department of Clinical Sciences, Lund University, Malmö, Sweden
- Pediatric department, Skåne University Hospital, Malmö, Sweden
| | - 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, Technical University Munich, Forschergruppe Diabetes at Klinikum Rechts Der Isar, Munich, Germany
| | - Sari Niinistö
- Health and Well-Being Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Iris Erlund
- Department of Government Services, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Jimin Yang
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Marian J Rewers
- Davis Center for Childhood Diabetes, University of Colorado, Aurora, CO, USA
| | - Beena Akolkar
- National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, USA
| | - Richard A McIndoe
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | | | - Anette Ziegler
- Institute of Diabetes Research, Helmholtz Munich, German Research Center for Environmental Health, Munich, Germany
- Klinikum Rechts Der Isar, Forschergruppe Diabetes E.V, Technische Universität München, Neuherberg, Germany
| | - Åke Lernmark
- Department of Clinical Sciences, Lund University CRC, Skåne University Hospital, Malmö, Sweden
| | - 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
| | - Jeffrey P Krischer
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL, USA
| | - Jill M Norris
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Suvi M Virtanen
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, 33014, Tampere, Finland
- Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland
- Health and Well-Being Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
- Center for Child Health Research, Tampere University and Tampere University Hospital, Tampere, Finland
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Peng X, Li H, Wang D, Wu L, Hu J, Ye F, Syed BM, Liu D, Zhang J, Liu Q. Intrauterine arsenic exposure induces glucose metabolism disorders in adult offspring by targeting TET2-mediated DNA hydroxymethylation reprogramming of HNF4α in developing livers, an effect alleviated by ascorbic acid. JOURNAL OF HAZARDOUS MATERIALS 2024; 465:133405. [PMID: 38185084 DOI: 10.1016/j.jhazmat.2023.133405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/17/2023] [Revised: 12/19/2023] [Accepted: 12/28/2023] [Indexed: 01/09/2024]
Abstract
Exposure to arsenic during gestation has lasting health-related effects on the developing fetus, including an increase in the risk of metabolic disease later in life. Epigenetics is a potential mechanism involved in this process. Ten-eleven translocation 2 (TET2) has been widely considered as a transferase of 5-hydroxymethylcytosine (5hmC). Here, mice were exposed, via drinking water, to arsenic or arsenic combined with ascorbic acid (AA) during gestation. For adult offspring, intrauterine arsenic exposure exhibited disorders of glucose metabolism, which are associated with DNA hydroxymethylation reprogramming of hepatic nuclear factor 4 alpha (HNF4α). Further molecular structure analysis, by SEC-UV-DAD, SEC-ICP-MS, verified that arsenic binds to the cysteine domain of TET2. Mechanistically, arsenic reduces the stability of TET2 by binding to it, resulting in the decrease of 5hmC levels in Hnf4α and subsequently inhibiting its expression. This leads to the disorders of expression of its downstream key glucose metabolism genes. Supplementation with AA blocked the reduction of TET2 and normalized the 5hmC levels of Hnf4α, thus alleviating the glucose metabolism disorders. Our study provides targets and methods for the prevention of offspring glucose metabolism abnormalities caused by intrauterine arsenic exposure.
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Affiliation(s)
- Xiaoshan Peng
- Center for Global Health, China International Cooperation Center for Environment and Human Health, Jiangsu Safety Assessment and Research Center for Drug, Pesticide, and Veterinary Drug, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, People's Republic of China
| | - Han Li
- Center for Global Health, China International Cooperation Center for Environment and Human Health, Jiangsu Safety Assessment and Research Center for Drug, Pesticide, and Veterinary Drug, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, People's Republic of China
| | - Dapeng Wang
- The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, School of Public Health, Guizhou Medical University, Guiyang 550025, Guizhou, People's Republic of China
| | - Lu Wu
- Suzhou Center for Disease Control and Prevention, Suzhou Institute of Public Health, Gusu School, Nanjing Medical University, Suzhou 215004, Jiangsu, People's Republic of China
| | - Jiacai Hu
- Institute of Physical and Chemical Testing, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, Jiangsu, People's Republic of China
| | - Fuping Ye
- Center for Global Health, China International Cooperation Center for Environment and Human Health, Jiangsu Safety Assessment and Research Center for Drug, Pesticide, and Veterinary Drug, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, People's Republic of China
| | - Binafsha Manzoor Syed
- Medical Research Centre, Liaquat University of Medical & Health Sciences, Jamshoro 76090, Sindh, Pakistan
| | - Deye Liu
- Institute of Physical and Chemical Testing, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, Jiangsu, People's Republic of China
| | - Jingshu Zhang
- Center for Global Health, China International Cooperation Center for Environment and Human Health, Jiangsu Safety Assessment and Research Center for Drug, Pesticide, and Veterinary Drug, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, People's Republic of China.
| | - Qizhan Liu
- Center for Global Health, China International Cooperation Center for Environment and Human Health, Jiangsu Safety Assessment and Research Center for Drug, Pesticide, and Veterinary Drug, School of Public Health, Nanjing Medical University, Nanjing 211166, Jiangsu, People's Republic of China; Suzhou Center for Disease Control and Prevention, Suzhou Institute of Public Health, Gusu School, Nanjing Medical University, Suzhou 215004, Jiangsu, People's Republic of China.
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4
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Mattila M, Takkinen HM, Peltonen EJ, Vuorinen AL, Niinistö S, Metsälä J, Ahonen S, Åkerlund M, Hakola L, Toppari J, Ilonen J, Veijola R, Haahtela T, Knip M, Virtanen SM. Fruit, berry, and vegetable consumption and the risk of islet autoimmunity and type 1 diabetes in children-the Type 1 Diabetes Prediction and Prevention birth cohort study. Am J Clin Nutr 2024; 119:537-545. [PMID: 38142920 PMCID: PMC10884602 DOI: 10.1016/j.ajcnut.2023.12.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 11/30/2023] [Accepted: 12/19/2023] [Indexed: 12/26/2023] Open
Abstract
BACKGROUND Prospective studies investigating the association among fruit, berry, and vegetable consumption and the risk of islet autoimmunity (IA) and type 1 diabetes (T1D) are few. OBJECTIVES In this cohort study, we explored whether the consumption of fruits, berries, and vegetables is associated with the IA and T1D development in genetically susceptible children. METHODS Food consumption data in the Finnish Type 1 Diabetes Prediction and Prevention (DIPP) cohort study were available from 5674 children born between September 1996 and September 2004 in the Oulu and Tampere University Hospitals. Diet was assessed with 3-d food records at the age of 3 and 6 mo and annually from 1 to 6 y. The association between food consumption and the risk of IA and T1D was analyzed using joint models adjusted for energy intake, sex, human leukocyte antigen (HLA) genotype, and a family history of diabetes. RESULTS During the 6-y follow-up, 247 children (4.4%) developed IA and 94 (1.7%) T1D. Furthermore, 64 of 505 children with at least 1 repeatedly positive autoantibody (12.7%) progressed from islet autoantibody positivity to T1D. The consumption of cruciferous vegetables was associated with decreased risk of IA [hazard ratio (HR): 0.83; 95% credible intervals (CI): 0.72, 0.95, per 1 g/MJ increase in consumption] and the consumption of berries with decreased risk of T1D (0.60; 0.47, 0.89). The consumption of banana was associated with increased risk of IA (1.08; 1.04, 1.12) and T1D (1.11; 1.01, 1.21). Only the association between banana and IA remain significant after multiple testing correction. CONCLUSIONS In children genetically at risk for T1D, the consumption of cruciferous vegetables was associated with decreased risk of IA and consumption of berries with decreased risk of T1D. In addition, the consumption of banana was associated with increased risk of IA and T1D.
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Affiliation(s)
- Markus Mattila
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland; Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland; Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland.
| | - Hanna-Mari Takkinen
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland; Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland; Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Essi J Peltonen
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland; Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland
| | - Anna-Leena Vuorinen
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland; Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland; Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland; Institute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland
| | - Sari Niinistö
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland; Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland; Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Johanna Metsälä
- Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Suvi Ahonen
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland; Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland; Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Mari Åkerlund
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland; Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland; Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Leena Hakola
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland; Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland
| | - Jorma Toppari
- Institute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, and Centre for Population Health Research, University of Turku, Turku, Finland; Turku University Hospital, Department of Pediatrics, Turku, Finland
| | - Jorma Ilonen
- Immunogenetics Laboratory, Institute of Biomedicine, University of Turku, Turku, Finland
| | - Riitta Veijola
- Department of Pediatrics, PEDEGO Research Unit, Medical Research Center, University of Oulu, Oulu, Finland; Oulu University Hospital, Department of Children and Adolescents, Oulu, Finland
| | - Tari Haahtela
- Skin and Allergy Hospital, Helsinki University Hospital, Helsinki, Finland
| | - Mikael Knip
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Tampere University Hospital, Department of Pediatrics, Tampere, Finland
| | - Suvi M Virtanen
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland; Tampere University Hospital, Wellbeing Services County of Pirkanmaa, Tampere, Finland; Department of Public Health and Welfare, Finnish Institute for Health and Welfare, Helsinki, Finland; Center for Child Health Research, Tampere University and Tampere University Hospital, Tampere, Finland
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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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6
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Lampousi AM, Löfvenborg JE, Ahlqvist E, Tuomi T, Wolk A, Carlsson S. Antioxidant Nutrients and Risk of Latent Autoimmune Diabetes in Adults and Type 2 Diabetes: A Swedish Case-Control Study and Mendelian Randomization Analysis. Nutrients 2023; 15:nu15112546. [PMID: 37299509 DOI: 10.3390/nu15112546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2023] [Revised: 05/23/2023] [Accepted: 05/27/2023] [Indexed: 06/12/2023] Open
Abstract
Antioxidant vitamins C and E are inversely associated with type 1 diabetes (T1D). We investigated if antioxidants are also associated with latent autoimmune diabetes in adults (LADA), with low (LADAlow) and high (LADAhigh) autoantibody levels, type 2 diabetes (T2D), and estimates of beta cell function (HOMA-B) and insulin resistance (HOMA-IR). We used Swedish case-control data with incident cases of LADA (n = 584) and T2D (n = 1989) and matched population-based controls (n = 2276). Odds ratios (OR) and 95% confidence intervals (CI) were calculated per one standard deviation higher beta-carotene, vitamin C, vitamin E, selenium, and zinc intakes. Two-sample Mendelian randomization (MR) analyses assessed causality between genetically predicted circulating antioxidants and LADA, T1D, and T2D, using summary statistics from genome-wide association studies. Among the antioxidants, vitamins C and E were inversely associated with LADAhigh (OR 0.84, CI 0.73, 0.98 and OR 0.80, CI 0.69, 0.94 respectively), but not with LADAlow or T2D. Vitamin E was also associated with higher HOMA-B and lower HOMA-IR. MR analyses estimated an OR of 0.50 (CI 0.20, 1.25) for the effect of vitamin E on T1D, but did not support causal relationships between antioxidants and either LADA or T2D. In conclusion, vitamin E may have a protective effect on autoimmune diabetes, possibly through preserved beta cell function and less insulin resistance.
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Affiliation(s)
- Anna-Maria Lampousi
- Institute of Environmental Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Josefin E Löfvenborg
- Institute of Environmental Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden
- Department of Risk and Benefit Assessment, Swedish Food Agency, 751 26 Uppsala, Sweden
| | - Emma Ahlqvist
- Department of Clinical Sciences, Lund University, 214 28 Malmö, Sweden
| | - Tiinamaija Tuomi
- Department of Clinical Sciences, Lund University, 214 28 Malmö, Sweden
- Institute for Molecular Medicine Finland (FIMM) and Research Programs Unit, Clinical and Molecular Metabolism, University of Helsinki, 00014 Helsinki, Finland
- Department of Endocrinology, Helsinki University Hospital, 00029 Helsinki, Finland
- Folkhälsan Research Center, 00250 Helsinki, Finland
| | - Alicja Wolk
- Institute of Environmental Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden
| | - Sofia Carlsson
- Institute of Environmental Medicine, Karolinska Institutet, 171 77 Stockholm, Sweden
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7
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Mameli C, Triolo TM, Chiarelli F, Rewers M, Zuccotti G, Simmons KM. Lessons and Gaps in the Prediction and Prevention of Type 1 Diabetes. Pharmacol Res 2023; 193:106792. [PMID: 37201589 DOI: 10.1016/j.phrs.2023.106792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2023] [Revised: 05/01/2023] [Accepted: 05/08/2023] [Indexed: 05/20/2023]
Abstract
Type 1 diabetes (T1D) is a serious chronic autoimmune condition. Even though the root cause of T1D development has yet to be determined, enough is known about the natural history of T1D pathogenesis to allow study of interventions that may delay or even prevent the onset of hyperglycemia and clinical T1D. Primary prevention aims to prevent the onset of beta cell autoimmunity in asymptomatic people at high genetic risk for T1D. Secondary prevention strategies aim to preserve functional beta cells once autoimmunity is present, and tertiary prevention aims to initiate and extend partial remission of beta cell destruction after the clinical onset of T1D. The approval of teplizumab in the United States to delay the onset of clinical T1D marks an impressive milestone in diabetes care. This treatment opens the door to a paradigm shift in T1D care. People with T1D risk need to be identified early by measuring T1D related islet autoantibodies. Identifying people with T1D before they have symptoms will facilitate better understanding of pre-symptomatic T1D progression and T1D prevention strategies that may be effective.
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Affiliation(s)
- Chiara Mameli
- Department of Pediatrics, V. Buzzi Children's Hospital, Milan, Italy; Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy.
| | - Taylor M Triolo
- Barbara Davis Center for Diabetes, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO 80045
| | | | - Marian Rewers
- Barbara Davis Center for Diabetes, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO 80045
| | - Gianvincenzo Zuccotti
- Department of Pediatrics, V. Buzzi Children's Hospital, Milan, Italy; Department of Biomedical and Clinical Sciences, University of Milan, Milan, Italy
| | - Kimber M Simmons
- Barbara Davis Center for Diabetes, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO 80045
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8
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Groele L, Szypowska A. Type 1 diabetes mellitus prevention. Pediatr Endocrinol Diabetes Metab 2023; 29:209-213. [PMID: 38282489 PMCID: PMC10826692 DOI: 10.5114/pedm.2023.134130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Accepted: 12/21/2023] [Indexed: 01/30/2024]
Affiliation(s)
- Lidia Groele
- Department of Paediatrics, Medical University of Warsaw, Poland
- Department of Paediatric Diabetology and Paediatrics, University Clinical Centre of Warsaw Medical University, Poland
| | - Agnieszka Szypowska
- Department of Paediatrics, Medical University of Warsaw, Poland
- Department of Paediatric Diabetology and Paediatrics, University Clinical Centre of Warsaw Medical University, Poland
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9
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Mason SA, Parker L, van der Pligt P, Wadley GD. Vitamin C supplementation for diabetes management: A comprehensive narrative review. Free Radic Biol Med 2023; 194:255-283. [PMID: 36526243 DOI: 10.1016/j.freeradbiomed.2022.12.003] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Revised: 12/01/2022] [Accepted: 12/05/2022] [Indexed: 12/15/2022]
Abstract
Growing evidence suggests that vitamin C supplementation may be an effective adjunct therapy in the management of people with diabetes. This paper critically reviews the current evidence on effects of vitamin C supplementation and its potential mechanisms in diabetes management. Evidence from meta-analyses of randomized controlled trials (RCTs) show favourable effects of vitamin C on glycaemic control and blood pressure that may be clinically meaningful, and mixed effects on blood lipids and endothelial function. However, evidence is mostly of low evidence certainty. Emerging evidence is promising for effects of vitamin C supplementation on some diabetes complications, particularly diabetic foot ulcers. However, there is a notable lack of robust and well-designed studies exploring effects of vitamin C as a single compound supplement on diabetes prevention and patient-important outcomes (i.e. prevention and amelioration of diabetes complications). RCTs are also required to investigate potential preventative or ameliorative effects of vitamin C on gestational diabetes outcomes. Oral vitamin C doses of 500-1000 mg per day are potentially effective, safe, and affordable for many individuals with diabetes. However, personalisation of supplementation regimens that consider factors such as vitamin C status, disease status, current glycaemic control, vitamin C intake, redox status, and genotype is important to optimize vitamin C's therapeutic effects safely. Finally, given a high prevalence of vitamin C deficiency in patients with complications, it is recommended that plasma vitamin C concentration be measured and monitored in the clinic setting.
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Affiliation(s)
- Shaun A Mason
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia.
| | - Lewan Parker
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
| | - Paige van der Pligt
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia; Department of Nutrition and Dietetics, Western Health, Footscray, Australia
| | - Glenn D Wadley
- Institute for Physical Activity and Nutrition, School of Exercise and Nutrition Sciences, Deakin University, Geelong, Australia
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10
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Shu Y, Zou C, Cai Y, He Q, Wu X, Zhu H, Qv M, Chao Y, Xu C, Tang L, Wu X. Vitamin C deficiency induces hypoglycemia and cognitive disorder through S-nitrosylation-mediated activation of glycogen synthase kinase 3β. Redox Biol 2022; 56:102420. [PMID: 35969998 PMCID: PMC9399387 DOI: 10.1016/j.redox.2022.102420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 07/21/2022] [Indexed: 11/15/2022] Open
Abstract
Vitamin C (VC, l-ascorbic acid) is an essential nutrient that plays a key role in metabolism and functions as a potent antioxidant in regulating the S-nitrosylation and denitrosylation of target proteins. The precise function of VC deprivation in glucose homeostasis is still unknown. In the absence of L-gulono-1,4-lactone oxidoreductase, an essential enzyme for the last step of VC synthesis, VC deprivation resulted in persistent hypoglycemia and subsequent impairment of cognitive functions in female but not male mouse pups. The cognitive disorders caused by VC deprivation were largely reversed when these female pups were given glucose. VC deprivation-induced S-nitrosylation of glycogen synthase kinase 3β (GSK3β) at Cys14, which activated GSK3β and inactivated glycogen synthase to decrease glycogen synthesis and storage under the feeding condition, while VC deprivation inactivated glycogen phosphorylase to decrease glycogenolysis under the fasting condition, ultimately leading to hypoglycemia and cognitive disorders. Treatment with Nω-Nitro-l-arginine methyl ester (l-NAME), a specific inhibitor of nitric oxide synthase, on the other hand, effectively prevented S-nitrosylation and activation of GSK3β in female pups in response to the VC deprivation and reversed hypoglycemia and cognitive disorders. Overall, this research identifies S-nitrosylation of GSK3β and subsequent GSK3β activation as a previously unknown mechanism controlling glucose homeostasis in female pups in response to VC deprivation, implying that VC supplementation in the prevention of hypoglycemia and cognitive disorders should be considered in the certain groups of people, particularly young females.
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Affiliation(s)
- Yingying Shu
- Department of Endocrinology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, 310053, China; National Clinical Research Center for Child Health, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, 310053, China
| | - Chaochun Zou
- Department of Endocrinology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, 310053, China; National Clinical Research Center for Child Health, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, 310053, China.
| | - Yuqing Cai
- Department of Endocrinology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, 310053, China; National Clinical Research Center for Child Health, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, 310053, China
| | - Qiangqiang He
- Department of Pharmacology, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Xiaowei Wu
- Department of Obstetrics and Gynecology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Haibin Zhu
- Department of Obstetrics and Gynecology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310003, China
| | - Meiyu Qv
- Department of Pharmacology, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Yunqi Chao
- Department of Endocrinology, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, 310053, China; National Clinical Research Center for Child Health, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, 310053, China
| | - Chengyun Xu
- National Clinical Research Center for Child Health, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, 310053, China; Department of Pharmacology, Zhejiang University School of Medicine, Hangzhou, 310058, China
| | - Lanfang Tang
- National Clinical Research Center for Child Health, The Children's Hospital of Zhejiang University School of Medicine, Hangzhou, 310053, China
| | - Ximei Wu
- Department of Pharmacology, Zhejiang University School of Medicine, Hangzhou, 310058, China.
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11
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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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12
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Ning Y, Hu M, Chen S, Zhang F, Yang X, Zhang Q, Gong Y, Huang R, Liu Y, Chen F, Pei L, Guo X, Kang L, Wang X, Zhang Y, Wang X. Investigation of selenium nutritional status and dietary pattern among children in Kashin-Beck disease endemic areas in Shaanxi Province, China using duplicate portion sampling method. ENVIRONMENT INTERNATIONAL 2022; 164:107255. [PMID: 35561595 DOI: 10.1016/j.envint.2022.107255] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Revised: 04/12/2022] [Accepted: 04/19/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND AND OBJECTIVES Selenium deficiency is a primary risk factor of Kashin-Beck disease (KBD). This study aimed to investigate whether children in endemic areas could maintain sufficient selenium intake after termination of selenium supplement administration, and evaluate their comprehensive nutritional status and dietary structure. METHODS Duplicate portion sampling combined with a questionnaire was adopted to collect data on categories and quantity of all food ingested in three consecutive days. Occipital hair was also collected to detect selenium content by hydride generation atomic fluorescence spectrometry (HGAFS). CDGSS3.0 software and factor analysis were integrated to assess the children's comprehensive nutritional status and dietary structure. RESULTS This study included 240 sex-matched (1:1) children aged 7-12 years from KBD endemic (n = 120) and non-endemic (n = 120) areas. Overall, 720 solid food, 720 liquid, and 240 hair samples were collected for selenium determination. The mean selenium level in hair of children in endemic areas (0.38 ± 0.16 mg/kg) was significantly lower than that in children in non-endemic areas (0.56 ± 0.28 mg/kg, Z = -5.249, p < 0.001). The dietary selenium intake of children in endemic areas was 40.0% lower than that in children in non-endemic areas (Z = -9.374, p < 0.001). Children in endemic areas consumed significantly less diverse dietary items leading to significantly less intake of multiple nutrients compared to children in non-endemic areas. CONCLUSIONS The dietary selenium intake of most children in endemic areas was less than the recommended amount. The dietary structure of children was undiversified, which limited the intake of multiple nutrients. Therefore, comprehensive nutrition rather than sole selenium intake should be the primary concern in the future.
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Affiliation(s)
- Yujie Ning
- School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, 710061, PR China
| | - Minhan Hu
- School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, 710061, PR China
| | - Sijie Chen
- School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, 710061, PR China
| | - Feiyu Zhang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, 710061, PR China
| | - Xiaodong Yang
- Shaanxi Provincial Institute for Endemic Disease Prevention and Control, Xi'an 710003, PR China.
| | - Qingping Zhang
- Shaanxi Provincial Institute for Endemic Disease Prevention and Control, Xi'an 710003, PR China
| | - Yi Gong
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, PR China
| | - Ruitian Huang
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, PR China
| | - Yanli Liu
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, PR China
| | - Feihong Chen
- Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, PR China
| | - Leilei Pei
- Department of Epidemiology and Health Statistics, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, PR China
| | - Xiong Guo
- School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, 710061, PR China.
| | - Lianke Kang
- Center for Disease Control and Prevention of Qishan, Baoji 722400, PR China
| | - Xinyi Wang
- Center for Disease Control and Prevention of Hantai, Hanzhong 723000, PR China
| | - Yan Zhang
- Center for Disease Control and Prevention of Ningshan, Ankang 711699, PR China
| | - Xi Wang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Key Laboratory of Trace Elements and Endemic Diseases, Collaborative Innovation Center of Endemic Disease and Health Promotion for Silk Road Region, 710061, PR China; Department of Occupational and Environmental Health, School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi 710061, PR China.
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13
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Chai J, Sun Z, Xu J. A Contemporary Insight of Metabolomics Approach for Type 1 Diabetes: Potential for Novel Diagnostic Targets. Diabetes Metab Syndr Obes 2022; 15:1605-1625. [PMID: 35642181 PMCID: PMC9148614 DOI: 10.2147/dmso.s357007] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Accepted: 04/08/2022] [Indexed: 11/23/2022] Open
Abstract
High-throughput omics has been widely applied in metabolic disease, type 1 diabetes (T1D) was one of the most typical diseases. Effective prevention and early diagnosis are very important because of infancy and persistent characteristics of T1D. The occurrence and development of T1D is a chronic and continuous process, in which the production of autoantibodies (ie serum transformation) occupies the central position. Metabolomics can evaluate the metabolic characteristics of serum before seroconversion, the changes with age and T1D complications. And the addition of natural drug metabolomics is more conducive to the systematic and comprehensive diagnosis and treatment of T1D. This paper reviewed the metabolic changes and main pathogenesis from pre-diagnosis to treatment in T1D. The metabolic spectrum of significant abnormal energy and glucose-related metabolic pathway, down-regulation of lipid metabolism and up-regulation of some antioxidant pathways has appeared before seroconversion, indicating that the body has been in the dual state of disease progression and disease resistance before T1D onset. Some metabolites (such as methionine) are closely related to age, and the types of autoantibodies produced are age-specific. Some metabolites may jointly predict DN with eGFR, and metabolomics can further contribute to the pathogenesis based on the correlation between DN and DR. Many natural drug components have been proved to act on abnormal metabolic pathways of T1D and have a positive impact on some metabolic levels, which is very important for further finding therapeutic targets and developing new drugs with small side effects. Metabolomics can provide auxiliary value for the diagnosis of T1D and provide a new direction to reveal the pathogenesis of T1D and find new therapeutic targets. The development of T1D metabolomics shows that high-throughput research methods are expected to be introduced into clinical practice.
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Affiliation(s)
- Jiatong Chai
- Department of Laboratory Medicine, The First Hospital of Jilin University, Changchun, People’s Republic of China
| | - Zeyu Sun
- Department of Laboratory Medicine, The First Hospital of Jilin University, Changchun, People’s Republic of China
| | - Jiancheng Xu
- Department of Laboratory Medicine, The First Hospital of Jilin University, Changchun, People’s Republic of China
- Correspondence: Jiancheng Xu, Department of Laboratory Medicine, The First Bethune Hospital of Jilin University, 71 Xinmin Street, Changchun, 130021, People’s Republic of China, Tel +86-431-8878-2595, Fax +86-431-8878-6169, Email
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14
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Nevalainen J, Datta S, Toppari J, Ilonen J, Hyöty H, Veijola R, Knip M, Virtanen SM. Frailty modeling under a selective sampling protocol: an application to type 1 diabetes related autoantibodies. Stat Med 2021; 40:6410-6420. [PMID: 34496070 DOI: 10.1002/sim.9190] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2021] [Revised: 08/12/2021] [Accepted: 08/23/2021] [Indexed: 02/01/2023]
Abstract
In studies following selective sampling protocols for secondary outcomes, conventional analyses regarding their appearance could provide misguided information. In the large type 1 diabetes prevention and prediction (DIPP) cohort study monitoring type 1 diabetes-associated autoantibodies, we propose to model their appearance via a multivariate frailty model, which incorporates a correlation component that is important for unbiased estimation of the baseline hazards under the selective sampling mechanism. As further advantages, the frailty model allows for systematic evaluation of the association and the differences in regression parameters among the autoantibodies. We demonstrate the properties of the model by a simulation study and the analysis of the autoantibodies and their association with background factors in the DIPP study, in which we found that high genetic risk is associated with the appearance of all the autoantibodies, whereas the association with sex and urban municipality was evident for IA-2A and IAA autoantibodies.
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Affiliation(s)
- Jaakko Nevalainen
- Health Sciences, Faculty of Social Sciences, Tampere University, Tampere, Finland
| | - Somnath Datta
- Department of Biostatistics, University of Florida, Gainesville, Florida, USA
| | - Jorma Toppari
- Institute of Biomedicine, University of Turku, Turku, Finland.,Department of Pediatrics, Turku University Hospital, Turku, Finland
| | - Jorma Ilonen
- Institute of Biomedicine, University of Turku, Turku, Finland
| | - Heikki Hyöty
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Riitta Veijola
- Department of Pediatrics, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Mikael Knip
- Children's Hospital, Helsinki University Hospital and University of Helsinki, Helsinki, Finland
| | - Suvi M Virtanen
- Health Sciences, Faculty of Social Sciences, Tampere University, Tampere, Finland.,Public Health and Welfare Department, Finnish Institute for Health and Welfare, Helsinki, Finland.,Research, Development and Innovation Centre, and Center for Child Health Research, Tampere University and University Hospital, Tampere, Finland
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15
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Mattila M, Hakola L, Niinistö S, Tapanainen H, Takkinen HM, Ahonen S, Ilonen J, Toppari J, Veijola R, Knip M, Virtanen SM. Maternal Vitamin C and Iron Intake during Pregnancy and the Risk of Islet Autoimmunity and Type 1 Diabetes in Children: A Birth Cohort Study. Nutrients 2021; 13:nu13030928. [PMID: 33805588 PMCID: PMC8001228 DOI: 10.3390/nu13030928] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 03/09/2021] [Accepted: 03/11/2021] [Indexed: 12/17/2022] Open
Abstract
Our aim was to study the associations between maternal vitamin C and iron intake during pregnancy and the offspring’s risk of developing islet autoimmunity and type 1 diabetes. The study was a part of the Finnish Type 1 Diabetes Prediction and Prevention (DIPP) prospective birth cohort including children genetically at risk of type 1 diabetes born between 1997–2004. The diets of 4879 mothers in late pregnancy were assessed with a validated food frequency questionnaire. The outcomes were islet autoimmunity and type 1 diabetes. Cox proportional hazards regression analysis adjusted for energy, family history of diabetes, human leukocyte antigen (HLA) genotype and sex was used for statistical analyses. Total intake of vitamin C or iron from food and supplements was not associated with the risk of islet autoimmunity (vitamin C: HR 0.91: 95% CI (0.80, 1.03), iron: 0.98 (0.87, 1.10)) or type 1 diabetes (vitamin C: 1.01 (0.87, 1.17), iron: 0.92 (0.78, 1.08)), neither was the use of vitamin C or iron supplements associated with the outcomes. In conclusion, no association was found between maternal vitamin C or iron intake during pregnancy and the risk of islet autoimmunity or type 1 diabetes in the offspring.
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Affiliation(s)
- Markus Mattila
- Unit of Health Sciences, Faculty of Social Sciences, Tampere University, FI-33014 Tampere, Finland; (L.H.); (H.-M.T.); (S.A.); (S.M.V.)
- Research, Development and Innovation Center, Tampere University Hospital, P.O. Box 2000, FI-33521 Tampere, Finland
- Health and Well-Being Promotion Unit, Finnish Institute for Health and Welfare, P.O. Box 30, FI-00271 Helsinki, Finland;
- Correspondence:
| | - Leena Hakola
- Unit of Health Sciences, Faculty of Social Sciences, Tampere University, FI-33014 Tampere, Finland; (L.H.); (H.-M.T.); (S.A.); (S.M.V.)
- Research, Development and Innovation Center, Tampere University Hospital, P.O. Box 2000, FI-33521 Tampere, Finland
| | - Sari Niinistö
- Health and Well-Being Promotion Unit, Finnish Institute for Health and Welfare, P.O. Box 30, FI-00271 Helsinki, Finland;
| | - Heli Tapanainen
- Population Health Unit, Finnish Institute for Health and Welfare, P.O. Box 30, FI-00271 Helsinki, Finland;
| | - Hanna-Mari Takkinen
- Unit of Health Sciences, Faculty of Social Sciences, Tampere University, FI-33014 Tampere, Finland; (L.H.); (H.-M.T.); (S.A.); (S.M.V.)
- Research, Development and Innovation Center, Tampere University Hospital, P.O. Box 2000, FI-33521 Tampere, Finland
- Health and Well-Being Promotion Unit, Finnish Institute for Health and Welfare, P.O. Box 30, FI-00271 Helsinki, Finland;
| | - Suvi Ahonen
- Unit of Health Sciences, Faculty of Social Sciences, Tampere University, FI-33014 Tampere, Finland; (L.H.); (H.-M.T.); (S.A.); (S.M.V.)
- Research, Development and Innovation Center, Tampere University Hospital, P.O. Box 2000, FI-33521 Tampere, Finland
- Health and Well-Being Promotion Unit, Finnish Institute for Health and Welfare, P.O. Box 30, FI-00271 Helsinki, Finland;
| | - Jorma Ilonen
- Immunogenetics Laboratory, Institute of Biomedicine, University of Turku, FI-20014 Turku, Finland;
| | - Jorma Toppari
- Research Centre for Integrative Physiology and Pharmacology, Institute of Biomedicine, University of Turku, FI-20520 Turku, Finland;
- Department of Pediatrics, Turku University Hospital, FI-20520 Turku, Finland
| | - Riitta Veijola
- PEDEGO Research Unit, Department of Pediatrics, Medical Research Center, University of Oulu, P.O. Box 8000, FI-90014 Oulu, Finland;
- Department of Children and Adolescents, Oulu University Hospital, P.O. Box 10, FI-90029 Oulu, Finland
| | - Mikael Knip
- Pediatric Research Center, Children’s Hospital, University of Helsinki and Helsinki University Hospital, FI-00029 Helsinki, Finland;
- Folkhälsan Research Center, FI-00251 Helsinki, Finland
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, FI-00014 Helsinki, Finland
- Department of Pediatrics, Tampere University Hospital, FI-33521 Tampere, Finland
| | - Suvi M. Virtanen
- Unit of Health Sciences, Faculty of Social Sciences, Tampere University, FI-33014 Tampere, Finland; (L.H.); (H.-M.T.); (S.A.); (S.M.V.)
- Research, Development and Innovation Center, Tampere University Hospital, P.O. Box 2000, FI-33521 Tampere, Finland
- Health and Well-Being Promotion Unit, Finnish Institute for Health and Welfare, P.O. Box 30, FI-00271 Helsinki, Finland;
- Center for Child Health Research, Tampere University and Tampere University Hospital, FI-33014 Tampere, Finland
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16
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Balzano-Nogueira L, Ramirez R, Zamkovaya T, Dailey J, Ardissone AN, Chamala S, Serrano-Quílez J, Rubio T, Haller MJ, Concannon P, Atkinson MA, Schatz DA, Triplett EW, Conesa A. Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes. Genome Biol 2021; 22:39. [PMID: 33478573 PMCID: PMC7818777 DOI: 10.1186/s13059-021-02262-w] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 01/04/2021] [Indexed: 02/08/2023] Open
Abstract
BACKGROUND The Environmental Determinants of Diabetes in the Young (TEDDY) is a prospective birth cohort designed to study type 1 diabetes (T1D) by following children with high genetic risk. An integrative multi-omics approach was used to evaluate islet autoimmunity etiology, identify disease biomarkers, and understand progression over time. RESULTS We identify a multi-omics signature that was predictive of islet autoimmunity (IA) as early as 1 year before seroconversion. At this time, abnormalities in lipid metabolism, decreased capacity for nutrient absorption, and intracellular ROS accumulation are detected in children progressing towards IA. Additionally, extracellular matrix remodeling, inflammation, cytotoxicity, angiogenesis, and increased activity of antigen-presenting cells are observed, which may contribute to beta cell destruction. Our results indicate that altered molecular homeostasis is present in IA-developing children months before the actual detection of islet autoantibodies, which opens an interesting window of opportunity for therapeutic intervention. CONCLUSIONS The approach employed herein for assessment of the TEDDY cohort showcases the utilization of multi-omics data for the modeling of complex, multifactorial diseases, like T1D.
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Affiliation(s)
- Leandro Balzano-Nogueira
- Microbiology and Cell Science Department, Institute for Food and Agricultural Sciences, University of Florida, Gainesville, USA
| | - Ricardo Ramirez
- Microbiology and Cell Science Department, Institute for Food and Agricultural Sciences, University of Florida, Gainesville, USA
| | - Tatyana Zamkovaya
- Microbiology and Cell Science Department, Institute for Food and Agricultural Sciences, University of Florida, Gainesville, USA
| | - Jordan Dailey
- Microbiology and Cell Science Department, Institute for Food and Agricultural Sciences, University of Florida, Gainesville, USA
| | - Alexandria N Ardissone
- Microbiology and Cell Science Department, Institute for Food and Agricultural Sciences, University of Florida, Gainesville, USA
| | - Srikar Chamala
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida Diabetes Institute, Gainesville, FL, USA
| | - Joan Serrano-Quílez
- Gene Expression and RNA Metabolism Laboratory, Instituto de Biomedicina de Valencia (CSIC), Jaume Roig, 11, 46010, Valencia, Spain
| | - Teresa Rubio
- Laboratory of Neurobiology, Prince Felipe Research Center, Valencia, Spain
| | - Michael J Haller
- Department of Pediatrics, University of Florida Diabetes Institute, Gainesville, FL, USA
| | - Patrick Concannon
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida Diabetes Institute, Gainesville, FL, USA
- University of Florida Genetics Institute, Gainesville, FL, USA
| | - Mark A Atkinson
- Department of Pediatrics, University of Florida Diabetes Institute, Gainesville, FL, USA
| | - Desmond A Schatz
- Department of Pediatrics, University of Florida Diabetes Institute, Gainesville, FL, USA
| | - Eric W Triplett
- Microbiology and Cell Science Department, Institute for Food and Agricultural Sciences, University of Florida, Gainesville, USA
| | - Ana Conesa
- Microbiology and Cell Science Department, Institute for Food and Agricultural Sciences, University of Florida, Gainesville, USA.
- University of Florida Genetics Institute, Gainesville, FL, USA.
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17
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Verduci E, Mameli C, Amatruda M, Petitti A, Vizzuso S, El Assadi F, Zuccotti G, Alabduljabbar S, Terranegra A. Early Nutrition and Risk of Type 1 Diabetes: The Role of Gut Microbiota. Front Nutr 2021; 7:612377. [PMID: 33425976 PMCID: PMC7785819 DOI: 10.3389/fnut.2020.612377] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 11/30/2020] [Indexed: 12/12/2022] Open
Abstract
Type 1 diabetes (T1D) appears most frequently in childhood, with an alarming increasing incidence in the last decades. Although the genetic predisposition is a major risk factor, it cannot solely explain the complex etiology of T1D which is still not fully understood. In this paper, we reviewed the most recent findings on the role of early nutrition and the involvement of the gut microbiota in the etiopathogenesis of T1D. The main conclusions that are withdrawn from the current literature regarding alleviating the risk of developing T1D through nutrition are the encouragement of long-term breast-feeding for at least the first 6 months of life and the avoidance of early complementary foods and gluten introduction (before 4 months of age) as well as cow milk introduction before 12 months of life. These detrimental feeding habits create a gut microbiota dysbiotic state that can contribute to the onset of T1D in infancy. Finally, we discussed the possibility to introduce probiotics, prebiotics and post-biotics in the prevention of T1D.
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Affiliation(s)
- Elvira Verduci
- Department of Pediatrics, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy.,Department of Health Sciences, University of Milan, Milan, Italy
| | - Chiara Mameli
- Department of Pediatrics, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy
| | - Matilde Amatruda
- Department of Health Sciences, University of Milan, Milan, Italy
| | - Agnese Petitti
- Department of Pediatrics, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy
| | - Sara Vizzuso
- Department of Health Sciences, University of Milan, Milan, Italy
| | - Farah El Assadi
- College of Health and Life Sciences, Hamad Bin Khalifa University, Doha, Qatar
| | - Gianvincenzo Zuccotti
- Department of Pediatrics, Vittore Buzzi Children's Hospital, University of Milan, Milan, Italy
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18
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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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19
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Mattila M, Niinistö S, Takkinen HM, Tapanainen H, Reinivuo H, Åkerlund M, Suomi J, Ahonen S, Ilonen J, Toppari J, Knip M, Veijola R, Virtanen SM. Maternal Nitrate and Nitrite Intakes during Pregnancy and Risk of Islet Autoimmunity and Type 1 Diabetes: The DIPP Cohort Study. J Nutr 2020; 150:2969-2976. [PMID: 32856042 DOI: 10.1093/jn/nxaa250] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Revised: 06/26/2020] [Accepted: 07/27/2020] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND High dietary intake of nitrate and nitrite might increase the risk of type 1 diabetes. To our knowledge, no earlier prospective study has explored whether maternal dietary intake of nitrate and nitrite during pregnancy is associated with the risk of type 1 diabetes in the offspring. OBJECTIVE Our aim was to study association between maternal intake of nitrate and nitrite during pregnancy and the risk of islet autoimmunity and type 1 diabetes in the offspring. DESIGN Children born between 1997 and 2004 at Oulu and Tampere University Hospitals in Finland and carrying increased human leukocyte antigen (HLA)-conferred risk for type 1 diabetes were followed in the Type 1 Diabetes Prediction and Prevention (DIPP) study from 3 mo of age. Islet autoantibodies were screened at 3- to 12-mo intervals from serum samples. Of 4879 children, 312 developed islet autoimmunity and 178 developed type 1 diabetes during a 15-y follow-up. Maternal intake of nitrate and nitrite during the eighth month of pregnancy was assessed after birth using a validated self-administered FFQ. Cox proportional hazards regression was used for the statistical analyses. RESULTS Maternal intake of nitrate and nitrite during pregnancy was not associated with the child's risk of islet autoimmunity [nitrate: HR 0.99 (95% CI: 0.88, 1.11); nitrite: HR 1.03 (95% CI: 0.92, 1.15)] or type 1 diabetes [nitrate: HR 1.02 (95% CI: 0.88, 1.17); nitrite: HR 0.97 (95% CI: 0.83, 1.12)] when adjusted for energy (residual method), sex, HLA risk group, and family history of diabetes. Further adjustment for dietary antioxidants (vitamin C, vitamin E, and selenium) did not change the results. CONCLUSION Maternal dietary intake of nitrate or nitrite during pregnancy is not associated with the risk of islet autoimmunity or type 1 diabetes in the offspring genetically at risk for type 1 diabetes.
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Affiliation(s)
- Markus Mattila
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland.,Research, Development and Innovation Centre, Tampere University Hospital, Tampere, Finland.,Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Sari Niinistö
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Hanna-Mari Takkinen
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland.,Research, Development and Innovation Centre, Tampere University Hospital, Tampere, Finland.,Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Heli Tapanainen
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Heli Reinivuo
- Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Mari Åkerlund
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland.,Research, Development and Innovation Centre, Tampere University Hospital, Tampere, Finland.,Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Johanna Suomi
- Risk Assessment Unit, Research and Laboratory Department, Finnish Food Authority, Helsinki, Finland
| | - Suvi Ahonen
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland.,Research, Development and Innovation Centre, Tampere University Hospital, Tampere, Finland.,Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Jorma Ilonen
- Immunogenetics Laboratory, Institute of Biomedicine, University of Turku, Turku, Finland
| | - Jorma Toppari
- Department of Pediatrics, Turku University Hospital, Turku, Finland.,Research Centre for Integrative Physiology and Pharmacology, Institute of Biomedicine, University of Turku, Turku, Finland
| | - Mikael Knip
- Pediatric Research Center, Children's Hospital, University of Helsinki, Helsinki, Finland.,Helsinki University Hospital, Helsinki, Finland.,The Clinical and Metabolic Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Riitta Veijola
- Department of Pediatrics, PEDEGO Research Unit, Medical Research Center, University of Oulu, Oulu, Finland.,Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland
| | - Suvi M Virtanen
- Faculty of Social Sciences, Unit of Health Sciences, Tampere University, Tampere, Finland.,Research, Development and Innovation Centre, Tampere University Hospital, Tampere, Finland.,Department of Public Health Solutions, Finnish Institute for Health and Welfare, Helsinki, Finland
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20
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Johnson RK, Vanderlinden LA, DeFelice BC, Uusitalo U, Seifert J, Fan S, Crume T, Fiehn O, Rewers M, Kechris K, Norris JM. Metabolomics-related nutrient patterns at seroconversion and risk of progression to type 1 diabetes. Pediatr Diabetes 2020; 21:1202-1209. [PMID: 32686271 PMCID: PMC7855902 DOI: 10.1111/pedi.13085] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 06/11/2020] [Accepted: 07/15/2020] [Indexed: 12/20/2022] Open
Abstract
OBJECTIVE Our aim was to elucidate the role of diet in type 1 diabetes (T1D) by examining combinations of nutrient intake in the progression from islet autoimmunity (IA) to T1D. METHODS We measured 2457 metabolites and dietary intake at the time of seroconversion in 132 IA-positive children in the prospective Diabetes Autoimmunity Study in the Young. IA was defined as the first of two consecutive visits positive for at least one autoantibody (insulin, GAD, IA-2, or ZnT8). By December 2018, 40 children progressed to T1D. Intakes of 38 nutrients were estimated from semiquantitative food frequency questionnaires. We tested the association of each metabolite with progression to T1D using multivariable Cox regression. Nutrient patterns that best explained variation in candidate metabolites were identified using reduced rank regression (RRR), and their association with progression to T1D was tested using Cox regression adjusting for age at seroconversion and high-risk HLA genotype. RESULTS In stepwise selection, 22 nutrients significantly predicted at least two of the 13 most significant metabolites associated with progression to T1D, and were included in RRR. A nutrient pattern corresponding to intake lower in linoleic acid, niacin, and riboflavin, and higher in total sugars, explained 18% of metabolite variability. Children scoring higher on this metabolite-related nutrient pattern at seroconversion had increased risk for progressing to T1D (HR = 3.17, 95%CI = 1.42-7.05). CONCLUSIONS Combinations of nutrient intake reflecting candidate metabolites are associated with increased risk of T1D, and may help focus dietary prevention efforts.
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Affiliation(s)
- Randi K. Johnson
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado,Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Lauren A. Vanderlinden
- Department of Biostatistics & Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Brian C. DeFelice
- UC Davis Genome Center—Metabolomics, University of California Davis, Davis, California
| | - Ulla Uusitalo
- Health Informatics Institute, University of South Florida College of Medicine, Tampa, Florida
| | - Jennifer Seifert
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Sili Fan
- UC Davis Genome Center—Metabolomics, University of California Davis, Davis, California
| | - Tessa Crume
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Oliver Fiehn
- UC Davis Genome Center—Metabolomics, University of California Davis, Davis, California
| | - Marian Rewers
- Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Katerina Kechris
- Department of Biostatistics & Informatics, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - Jill M. Norris
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, Colorado
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