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Jacobsen LM, Vehik K, Veijola R, Warncke K, Toppari J, Steck AK, Gesualdo P, Akolkar B, Lundgren M, Hagopian WA, She JX, Rewers M, Ziegler AG, Krischer JP, Larsson HE, Haller MJ. Heterogeneity of DKA Incidence and Age-Specific Clinical Characteristics in Children Diagnosed With Type 1 Diabetes in the TEDDY Study. Diabetes Care 2022; 45:624-633. [PMID: 35043162 PMCID: PMC8918232 DOI: 10.2337/dc21-0422] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Accepted: 12/11/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE The Environmental Determinants of Diabetes in the Young (TEDDY) study is uniquely capable of investigating age-specific differences associated with type 1 diabetes. Because age is a primary driver of heterogeneity in type 1 diabetes, we sought to characterize by age metabolic derangements prior to diagnosis and clinical features associated with diabetic ketoacidosis (DKA). RESEARCH DESIGN AND METHODS The 379 TEDDY children who developed type 1 diabetes were grouped by age at onset (0-4, 5-9, and 10-14 years; n = 142, 151, and 86, respectively) with comparisons of autoantibody profiles, HLAs, family history of diabetes, presence of DKA, symptomatology at onset, and adherence to TEDDY protocol. Time-varying analysis compared those with oral glucose tolerance test data with TEDDY children who did not progress to diabetes. RESULTS Increasing fasting glucose (hazard ratio [HR] 1.09 [95% CI 1.04-1.14]; P = 0.0003), stimulated glucose (HR 1.50 [1.42-1.59]; P < 0.0001), fasting insulin (HR 0.89 [0.83-0.95]; P = 0.0009), and glucose-to-insulin ratio (HR 1.29 [1.16-1.43]; P < 0.0001) were associated with risk of progression to type 1 diabetes. Younger children had fewer autoantibodies with more symptoms at diagnosis. Twenty-three children (6.1%) had DKA at onset, only 1 (0.97%) of 103 with and 22 (8.0%) of 276 children without a first-degree relative (FDR) with type 1 diabetes (P = 0.008). Children with DKA were more likely to be nonadherent to study protocol (P = 0.047), with longer duration between their last TEDDY evaluation and diagnosis (median 10.2 vs. 2.0 months without DKA; P < 0.001). CONCLUSIONS DKA at onset in TEDDY is uncommon, especially for FDRs. For those without familial risk, metabolic monitoring continues to provide a primary benefit of reduced DKA but requires regular follow-up. Clinical and laboratory features vary by age at onset, adding to the heterogeneity of type 1 diabetes.
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Affiliation(s)
| | - Kendra Vehik
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL
| | - Riitta Veijola
- PEDEGO Research Unit, Department of Pediatrics, Medical Research Center, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Katharina Warncke
- Institute of Diabetes Research, Helmholtz Zentrum München and Forschergruppe Diabetes e.V., Neuherberg, Germany
| | - Jorma Toppari
- Department of Pediatrics, Turku University Hospital, Turku, Finland
- Research Centre for Integrative Physiology and Pharmacology, Institute of Biomedicine, Centre for Population Health Research, University of Turku, Turku, Finland
| | - Andrea K. Steck
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO
| | - Patricia Gesualdo
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO
| | - Beena Akolkar
- Diabetes Division, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD
| | - Markus Lundgren
- Department of Clinical Sciences Malmö, Lund University, Skåne University Hospital, Malmö, Sweden
| | | | - Jin-Xiong She
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Georgia Regents University, Augusta, GA
| | - Marian Rewers
- Barbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO
| | - Anette-G. Ziegler
- PEDEGO Research Unit, Department of Pediatrics, Medical Research Center, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Jeffrey P. Krischer
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL
| | - Helena Elding Larsson
- Department of Clinical Sciences Malmö, Lund University, Skåne University Hospital, Malmö, Sweden
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2
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Martinez MM, Spiliopoulos L, Salami F, Agardh D, Toppari J, Lernmark Å, Kero J, Veijola R, Tossavainen P, Palmu S, Lundgren M, Borg H, Katsarou A, Larsson HE, Knip M, Maziarz M, Törn C. Heterogeneity of beta-cell function in subjects with multiple islet autoantibodies in the TEDDY family prevention study - TEFA. Clin Diabetes Endocrinol 2022; 7:23. [PMID: 34983671 PMCID: PMC8728995 DOI: 10.1186/s40842-021-00135-6] [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: 07/26/2021] [Accepted: 11/29/2021] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Individuals with multiple islet autoantibodies are at increased risk for clinical type 1 diabetes and may proceed gradually from stage to stage complicating the recruitment to secondary prevention studies. We evaluated multiple islet autoantibody positive subjects before randomisation for a clinical trial 1 month apart for beta-cell function, glucose metabolism and continuous glucose monitoring (CGM). We hypothesized that the number and type of islet autoantibodies in combination with different measures of glucose metabolism including fasting glucose, HbA1c, oral glucose tolerance test (OGTT), intra venous glucose tolerance test (IvGTT) and CGM allows for more precise staging of autoimmune type 1 diabetes than the number of islet autoantibodies alone. METHODS Subjects (n = 57) at 2-50 years of age, positive for two or more islet autoantibodies were assessed by fasting plasma insulin, glucose, HbA1c as well as First Phase Insulin Response (FPIR) in IvGTT, followed 1 month later by OGTT, and 1 week of CGM (n = 24). RESULTS Autoantibodies against GAD65 (GADA; n = 52), ZnT8 (ZnT8A; n = 40), IA-2 (IA-2A; n = 38) and insulin (IAA; n = 28) were present in 9 different combinations of 2-4 autoantibodies. Fasting glucose and HbA1c did not differ between the two visits. The estimate of the linear relationship between log2-transformed FPIR as the outcome and log2-transformed area under the OGTT glucose curve (AUC) as the predictor, adjusting for age and sex was - 1.88 (- 2.71, - 1.05) p = 3.49 × 10-5. The direction of the estimates for all glucose metabolism measures was positive except for FPIR, which was negative. FPIR was associated with higher blood glucose. Both the median and the spread of the CGM glucose data were significantly associated with higher glucose values based on OGTT, higher HbA1c, and lower FPIR. There was no association between glucose metabolism, autoantibody number and type except that there was an indication that the presence of at least one of ZnT8(Q/R/W) A was associated with a lower log2-transformed FPIR (- 0.80 (- 1.58, - 0.02), p = 0.046). CONCLUSIONS The sole use of two or more islet autoantibodies as inclusion criterion for Stage 1 diabetes in prevention trials is unsatisfactory. Staging type 1 diabetes needs to take the heterogeneity in beta-cell function and glucose metabolism into account. TRIAL REGISTRATION ClinicalTrials.gov identifier: NCT02605148 , November 16, 2015.
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Affiliation(s)
- Maria Månsson Martinez
- Department of Clinical Sciences, Lund University CRC, Skåne University Hospital, Jan Waldenströms gata 35, Box 503 32, SE-214 28, Malmö, Sweden.
| | - Lampros Spiliopoulos
- Department of Clinical Sciences, Lund University CRC, Skåne University Hospital, Jan Waldenströms gata 35, Box 503 32, SE-214 28, Malmö, Sweden
| | - Falastin Salami
- Department of Clinical Sciences, Lund University CRC, Skåne University Hospital, Jan Waldenströms gata 35, Box 503 32, SE-214 28, Malmö, Sweden
| | - Daniel Agardh
- Department of Clinical Sciences, Lund University CRC, Skåne University Hospital, Jan Waldenströms gata 35, Box 503 32, SE-214 28, Malmö, Sweden
| | - Jorma Toppari
- Department of Pediatrics, Turku University Hospital, Turku, Finland
- Research Centre for Integrative Physiology and Pharmacology, Institute of Biomedicine, and Centre for Population Health Research, University of Turku, Turku, Finland
| | - Åke Lernmark
- Department of Clinical Sciences, Lund University CRC, Skåne University Hospital, Jan Waldenströms gata 35, Box 503 32, SE-214 28, Malmö, Sweden
| | - Jukka Kero
- Department of Pediatrics, Turku University Hospital, Turku, Finland
- Research Centre for Integrative Physiology and Pharmacology, Institute of Biomedicine, and Centre for Population Health Research, University of Turku, Turku, Finland
| | - Riitta Veijola
- Department of Pediatrics, PEDEGO Research Unit, MRC Oulu, University of Oulu, Oulu, Finland
- Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland
| | - Päivi Tossavainen
- Department of Pediatrics, PEDEGO Research Unit, MRC Oulu, University of Oulu, Oulu, Finland
- Department of Children and Adolescents, Oulu University Hospital, Oulu, Finland
| | - Sauli Palmu
- Department of Pediatrics, Tampere Center for Child, Adolescent and Maternal Health Research, Tampere University Hospital, Tampere, Finland
| | - Markus Lundgren
- Department of Clinical Sciences, Lund University CRC, Skåne University Hospital, Jan Waldenströms gata 35, Box 503 32, SE-214 28, Malmö, Sweden
| | - Henrik Borg
- Department of Clinical Sciences, Lund University CRC, Skåne University Hospital, Jan Waldenströms gata 35, Box 503 32, SE-214 28, Malmö, Sweden
| | - Anastasia Katsarou
- Department of Clinical Sciences, Lund University CRC, Skåne University Hospital, Jan Waldenströms gata 35, Box 503 32, SE-214 28, Malmö, Sweden
| | - Helena Elding Larsson
- Department of Clinical Sciences, Lund University CRC, Skåne University Hospital, Jan Waldenströms gata 35, Box 503 32, SE-214 28, Malmö, Sweden
| | - Mikael Knip
- Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Marlena Maziarz
- Department of Clinical Sciences, Lund University CRC, Skåne University Hospital, Jan Waldenströms gata 35, Box 503 32, SE-214 28, Malmö, Sweden
| | - Carina Törn
- Department of Clinical Sciences, Lund University CRC, Skåne University Hospital, Jan Waldenströms gata 35, Box 503 32, SE-214 28, Malmö, Sweden
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3
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Anand V, Li Y, Liu B, Ghalwash M, Koski E, Ng K, Dunne JL, Jönsson J, Winkler C, Knip M, Toppari J, Ilonen J, Killian MB, Frohnert BI, Lundgren M, Ziegler AG, Hagopian W, Veijola R, Rewers M. Islet Autoimmunity and HLA Markers of Presymptomatic and Clinical Type 1 Diabetes: Joint Analyses of Prospective Cohort Studies in Finland, Germany, Sweden, and the U.S. Diabetes Care 2021; 44:dc201836. [PMID: 34162665 PMCID: PMC8929180 DOI: 10.2337/dc20-1836] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Accepted: 04/07/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To combine prospective cohort studies, by including HLA harmonization, and estimate risk of islet autoimmunity and progression to clinical diabetes. RESEARCH DESIGN AND METHODS For prospective cohorts in Finland, Germany, Sweden, and the U.S., 24,662 children at increased genetic risk for development of islet autoantibodies and type 1 diabetes have been followed. Following harmonization, the outcomes were analyzed in 16,709 infants-toddlers enrolled by age 2.5 years. RESULTS In the infant-toddler cohort, 1,413 (8.5%) developed at least one autoantibody confirmed at two or more consecutive visits (seroconversion), 865 (5%) developed multiple autoantibodies, and 655 (4%) progressed to diabetes. The 15-year cumulative incidence of diabetes varied in children with one, two, or three autoantibodies at seroconversion: 45% (95% CI 40-52), 85% (78-90), and 92% (85-97), respectively. Among those with a single autoantibody, status 2 years after seroconversion predicted diabetes risk: 12% (10-25) if reverting to autoantibody negative, 30% (20-40) if retaining a single autoantibody, and 82% (80-95) if developing multiple autoantibodies. HLA-DR-DQ affected the risk of confirmed seroconversion and progression to diabetes in children with stable single-autoantibody status. Their 15-year diabetes incidence for higher- versus lower-risk genotypes was 40% (28-50) vs. 12% (5-38). The rate of progression to diabetes was inversely related to age at development of multiple autoantibodies, ranging from 20% per year to 6% per year in children developing multipositivity in ≤2 years or >7.4 years, respectively. CONCLUSIONS The number of islet autoantibodies at seroconversion reliably predicts 15-year type 1 diabetes risk. In children retaining a single autoantibody, HLA-DR-DQ genotypes can further refine risk of progression.
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Affiliation(s)
- Vibha Anand
- Center for Computational Health, IBM T.J. Watson Research Center, Cambridge, MA, and Yorktown Heights, NY
| | - Ying Li
- Center for Computational Health, IBM T.J. Watson Research Center, Cambridge, MA, and Yorktown Heights, NY
| | - Bin Liu
- Center for Computational Health, IBM T.J. Watson Research Center, Cambridge, MA, and Yorktown Heights, NY
| | - Mohamed Ghalwash
- Center for Computational Health, IBM T.J. Watson Research Center, Cambridge, MA, and Yorktown Heights, NY
- Ain Shams University, Cairo, Egypt
| | - Eileen Koski
- Center for Computational Health, IBM T.J. Watson Research Center, Cambridge, MA, and Yorktown Heights, NY
| | - Kenney Ng
- Center for Computational Health, IBM T.J. Watson Research Center, Cambridge, MA, and Yorktown Heights, NY
| | | | - Josefine Jönsson
- Department of Clinical Sciences Malmö, Lund University/CRC, Skåne University Hospital, Malmö
| | - Christiane Winkler
- Institute of Diabetes Research, Helmholtz Zentrum München German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Forschergruppe Diabetes e.V. am Helmholtz Zentrum München, Munich, Germany
- Forschergruppe Diabetes, Technical University Munich, Germany
| | - Mikael Knip
- Tampere Center for Child Health Research, Tampere University Hospital, Tampere, Finland
- 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
- Folkhälsan Research Center, Helsinki, Finland
| | - Jorma Toppari
- Institute of Biomedicine and Population Research Centre, University of Turku, and Department of Pediatrics, Turku University Hospital, Turku, Finland
| | - Jorma Ilonen
- Immunogenetics Laboratory, Institute of Biomedicine, University of Turku, and Clinical Microbiology, Turku University Hospital, Turku, Finland
| | | | | | - Markus Lundgren
- Institute of Diabetes Research, Helmholtz Zentrum München German Research Center for Environmental Health, Munich-Neuherberg, Germany
| | - Anette-Gabriele Ziegler
- Institute of Diabetes Research, Helmholtz Zentrum München German Research Center for Environmental Health, Munich-Neuherberg, Germany
- Forschergruppe Diabetes e.V. am Helmholtz Zentrum München, Munich, Germany
- Forschergruppe Diabetes, Technical University Munich, Germany
| | | | - Riitta Veijola
- PEDEGO Research Unit, Department of Pediatrics, University of Oulu and Oulu University Hospital, Oulu, Finland
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4
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Martinez MM, Salami F, Larsson HE, Toppari J, Lernmark Å, Kero J, Veijola R, Koskenniemi JJ, Tossavainen P, Lundgren M, Borg H, Katsarou A, Maziarz M, Törn C. Beta cell function in participants with single or multiple islet autoantibodies at baseline in the TEDDY Family Prevention Study: TEFA. Endocrinol Diabetes Metab 2021; 4:e00198. [PMID: 33855205 PMCID: PMC8029501 DOI: 10.1002/edm2.198] [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: 07/14/2020] [Revised: 09/14/2020] [Accepted: 10/12/2020] [Indexed: 01/16/2023] Open
Abstract
Aim The aim of the present study was to assess beta cell function based on an oral glucose tolerance test (OGTT) in participants with single islet autoantibody or an intravenous glucose tolerance test (IvGTT) in participants with multiple islet autoantibodies. Materials and methods Healthy participants in Sweden and Finland, between 2 and 49.99 years of age previously identified as positive for a single (n = 30) autoantibody to either insulin, glutamic acid decarboxylase, islet antigen-2, zinc transporter 8 or islet cell antibodies or multiple autoantibodies (n = 46), were included. Participants positive for a single autoantibody underwent a 6-point OGTT while participants positive for multiple autoantibodies underwent an IvGTT. Glucose, insulin and C-peptide were measured from OGTT and IvGTT samples. Results All participants positive for a single autoantibody had a normal glucose tolerance test with 120 minutes glucose below 7.70 mmol/L and HbA1c values within the normal range (<42 mmol/mol). Insulin responses to the glucose challenge on OGTT ranged between 13.0 and 143 mIU/L after 120 minutes with C-peptide values between 0.74 and 4.60 nmol/L. In Swedish participants, the first-phase insulin response (FPIR) on IvGTT was lower in those positive for three or more autoantibodies (n = 13; median 83.0 mIU/L; range 20.0-343) compared to those with two autoantibodies (n = 15; median 146 mIU/L; range 19.0-545; P = .0330). Conclusion Participants positive for a single autoantibody appeared to have a normal beta cell function. Participants positive for three or more autoantibodies had a lower FPIR as compared to participants with two autoantibodies, supporting the view that their beta cell function had deteriorated.
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Affiliation(s)
| | - Falastin Salami
- Department of Clinical SciencesLund University/CRCSkåne University HospitalMalmöSweden
| | - Helena Elding Larsson
- Department of Clinical SciencesLund University/CRCSkåne University HospitalMalmöSweden
| | - Jorma Toppari
- Department of PediatricsTurku University HospitalTurkuFinland
- Institute of BiomedicineResearch Centre for Integrative Physiology and Pharmacologyand Research Centre for Population HealthUniversity of TurkuTurkuFinland
| | - Åke Lernmark
- Department of Clinical SciencesLund University/CRCSkåne University HospitalMalmöSweden
| | - Jukka Kero
- Department of PediatricsTurku University HospitalTurkuFinland
- Institute of BiomedicineResearch Centre for Integrative Physiology and Pharmacologyand Research Centre for Population HealthUniversity of TurkuTurkuFinland
| | - Riitta Veijola
- Department of PediatricsPEDEGO Research UnitMRC OuluUniversity of Oulu and Oulu University HospitalOuluFinland
| | - Jaakko J Koskenniemi
- Department of PediatricsTurku University HospitalTurkuFinland
- Institute of BiomedicineResearch Centre for Integrative Physiology and Pharmacologyand Research Centre for Population HealthUniversity of TurkuTurkuFinland
| | - Päivi Tossavainen
- Department of PediatricsPEDEGO Research UnitMRC OuluUniversity of Oulu and Oulu University HospitalOuluFinland
| | - Markus Lundgren
- Department of Clinical SciencesLund University/CRCSkåne University HospitalMalmöSweden
| | - Henrik Borg
- Department of Clinical SciencesLund University/CRCSkåne University HospitalMalmöSweden
| | - Anastasia Katsarou
- Department of Clinical SciencesLund University/CRCSkåne University HospitalMalmöSweden
| | - Marlena Maziarz
- Department of Clinical SciencesLund University/CRCSkåne University HospitalMalmöSweden
| | - Carina Törn
- Department of Clinical SciencesLund University/CRCSkåne University HospitalMalmöSweden
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5
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Liu X, Vehik K, Huang Y, Elding Larsson H, Toppari J, Ziegler AG, She JX, Rewers M, Hagopian WA, Akolkar B, Krischer JP. Distinct Growth Phases in Early Life Associated With the Risk of Type 1 Diabetes: The TEDDY Study. Diabetes Care 2020; 43:556-562. [PMID: 31896601 PMCID: PMC7035588 DOI: 10.2337/dc19-1670] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Accepted: 11/20/2019] [Indexed: 02/03/2023]
Abstract
OBJECTIVE This study investigates two-phase growth patterns in early life and their association with development of islet autoimmunity (IA) and type 1 diabetes (T1D). RESEARCH DESIGN AND METHODS The Environmental Determinants of Diabetes in the Young (TEDDY) study followed 7,522 genetically high-risk children in Sweden, Finland, Germany, and the U.S. from birth for a median of 9.0 years (interquartile range 5.7-10.6) with available growth data. Of these, 761 (10.1%) children developed IA and 290 (3.9%) children were diagnosed with T1D. Bayesian two-phase piecewise linear mixed models with a random change point were used to estimate children's individual growth trajectories. Cox proportional hazards models were used to assess the effects of associated growth parameters on the risks of IA and progression to T1D. RESULTS A higher rate of weight gain in infancy was associated with increased IA risk (hazard ratio [HR] 1.09 [95% CI 1.02, 1.17] per 1 kg/year). A height growth pattern with a lower rate in infancy (HR 0.79 [95% CI 0.70, 0.90] per 1 cm/year), higher rate in early childhood (HR 1.48 [95% CI 1.22, 1.79] per 1 cm/year), and younger age at the phase transition (HR 0.76 [95% CI 0.58, 0.99] per 1 month) was associated with increased risk of progression from IA to T1D. A higher rate of weight gain in early childhood was associated with increased risk of progression from IA to T1D (HR 2.57 [95% CI 1.34, 4.91] per 1 kg/year) in children with first-appearing GAD autoantibody only. CONCLUSIONS Growth patterns in early life better clarify how specific growth phases are associated with the development of T1D.
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Affiliation(s)
- Xiang Liu
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL
| | - Kendra Vehik
- Health Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL
| | - Yangxin Huang
- Department of Epidemiology and Biostatistics, College of Public Health, University of South Florida, Tampa, FL
| | - Helena Elding Larsson
- Department of Clinical Sciences, Lund University/Clinical Research Center, Skane University, Malmö, Sweden
| | - 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 (German Research Center for Environmental Health), Munich-Neuherberg, Germany
- Forschergruppe Diabetes, Klinikum rechts der Isar, Technical University Munich, Munich, Germany
- Forschergruppe Diabetes e.V., Helmholtz Zentrum München (German Research Center for Environmental Health), Munich-Neuherberg, Germany
| | - Jin-Xiong She
- Center for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA
| | - Marian Rewers
- Barbara Davis Center for Childhood Diabetes, University of Colorado, Aurora, CO
| | | | - 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
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Koskinen MK, Mikk ML, Laine AP, Lempainen J, Löyttyniemi E, Vähäsalo P, Hekkala A, Härkönen T, Kiviniemi M, Simell O, Knip M, Veijola R, Ilonen J, Toppari J. Longitudinal Pattern of First-Phase Insulin Response Is Associated With Genetic Variants Outside the Class II HLA Region in Children With Multiple Autoantibodies. Diabetes 2020; 69:12-19. [PMID: 31591105 DOI: 10.2337/db19-0329] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Accepted: 10/02/2019] [Indexed: 11/13/2022]
Abstract
A declining first-phase insulin response (FPIR) is associated with positivity for multiple islet autoantibodies, irrespective of class II HLA DR-DQ genotype. We examined the associations of FPIR with genetic variants outside the HLA DR-DQ region in the Finnish Type 1 Diabetes Prediction and Prevention (DIPP) study in children with and without multiple autoantibodies. Association between FPIR and class I alleles A*24 and B*39 and eight single nucleotide polymorphisms outside the HLA region were analyzed in 438 children who had one or more FPIR results available after seroconversion. Hierarchical linear mixed models were used to analyze repeated measurements of FPIR. In children with multiple autoantibodies, the change in FPIR over time was significantly different between those with various PTPN2 (rs45450798), FUT2 (rs601338), CTSH (rs3825932), and IKZF4 (rs1701704) genotypes in at least one of the models. In general, children carrying susceptibility alleles for type 1 diabetes experienced a more rapid decline in insulin secretion compared with children without susceptibility alleles. The presence of the class I HLA A*24 allele was also associated with a steeper decline of FPIR over time in children with multiple autoantibodies. Certain genetic variants outside the class II HLA region may have a significant impact on the longitudinal pattern of FPIR.
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Affiliation(s)
- Maarit K Koskinen
- Department of Pediatrics, University of Turku and Turku University Hospital, Turku, Finland
- Medicity, University of Turku, Turku, Finland
| | - Mari-Liis Mikk
- Immunogenetics Laboratory, Institute of Biomedicine, University of Turku and Clinical Microbiology, Turku University Hospital, Turku, Finland
| | - Antti-Pekka Laine
- Immunogenetics Laboratory, Institute of Biomedicine, University of Turku and Clinical Microbiology, Turku University Hospital, Turku, Finland
| | - Johanna Lempainen
- Department of Pediatrics, University of Turku and Turku University Hospital, Turku, Finland
- Immunogenetics Laboratory, Institute of Biomedicine, University of Turku and Clinical Microbiology, Turku University Hospital, Turku, Finland
| | | | - Paula Vähäsalo
- Department of Pediatrics, PEDEGO Research Unit, Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Anne Hekkala
- Department of Pediatrics, PEDEGO Research Unit, Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Taina Härkönen
- 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
| | - Minna Kiviniemi
- Immunogenetics Laboratory, Institute of Biomedicine, University of Turku and Clinical Microbiology, Turku University Hospital, Turku, Finland
| | - Olli Simell
- Department of Pediatrics, University of Turku and Turku University Hospital, Turku, Finland
| | - Mikael Knip
- 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
- Tampere Center for Child Health Research, Tampere University Hospital, Tampere, Finland
| | - Riitta Veijola
- Department of Pediatrics, PEDEGO Research Unit, Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Jorma Ilonen
- Immunogenetics Laboratory, Institute of Biomedicine, University of Turku and Clinical Microbiology, Turku University Hospital, Turku, Finland
| | - Jorma Toppari
- Department of Pediatrics, University of Turku and Turku University Hospital, Turku, Finland
- Institute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, University of Turku, Turku, Finland
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7
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Ilonen J, Lempainen J, Veijola R. The heterogeneous pathogenesis of type 1 diabetes mellitus. Nat Rev Endocrinol 2019; 15:635-650. [PMID: 31534209 DOI: 10.1038/s41574-019-0254-y] [Citation(s) in RCA: 230] [Impact Index Per Article: 46.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/13/2019] [Indexed: 12/14/2022]
Abstract
Type 1 diabetes mellitus (T1DM) results from the destruction of pancreatic β-cells that is mediated by the immune system. Multiple genetic and environmental factors found in variable combinations in individual patients are involved in the development of T1DM. Genetic risk is defined by the presence of particular allele combinations, which in the major susceptibility locus (the HLA region) affect T cell recognition and tolerance to foreign and autologous molecules. Multiple other loci also regulate and affect features of specific immune responses and modify the vulnerability of β-cells to inflammatory mediators. Compared with the genetic factors, environmental factors that affect the development of T1DM are less well characterized but contact with particular microorganisms is emerging as an important factor. Certain infections might affect immune regulation, and the role of commensal microorganisms, such as the gut microbiota, are important in the education of the developing immune system. Some evidence also suggests that nutritional factors are important. Multiple islet-specific autoantibodies are found in the circulation from a few weeks to up to 20 years before the onset of clinical disease and this prediabetic phase provides a potential opportunity to manipulate the islet-specific immune response to prevent or postpone β-cell loss. The latest developments in understanding the heterogeneity of T1DM and characterization of major disease subtypes might help in the development of preventive treatments.
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Affiliation(s)
- Jorma Ilonen
- Institue of Biomedicine, University of Turku and Clinical Microbiology, Turku University Hospital, Turku, Finland.
| | - Johanna Lempainen
- Institue of Biomedicine, University of Turku and Clinical Microbiology, Turku University Hospital, Turku, Finland
- Department of Paediatrics, University of Turku and Turku University Hospital, Turku, Finland
| | - Riitta Veijola
- Department of Paediatrics, University of Oulu and Oulu University Hospital, Oulu, Finland
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