1
|
Lind A, Freyhult E, de Jesus Cortez F, Ramelius A, Bennet R, Robinson PV, Seftel D, Gebhart D, Tandel D, Maziarz M, Larsson HE, Lundgren M, Carlsson A, Nilsson AL, Fex M, Törn C, Agardh D, Tsai CT, Lernmark Å. Childhood screening for type 1 diabetes comparing automated multiplex Antibody Detection by Agglutination-PCR (ADAP) with single plex islet autoantibody radiobinding assays. EBioMedicine 2024; 104:105144. [PMID: 38723553 PMCID: PMC11090024 DOI: 10.1016/j.ebiom.2024.105144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 04/16/2024] [Accepted: 04/18/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND Two or more autoantibodies against either insulin (IAA), glutamic acid decarboxylase (GADA), islet antigen-2 (IA-2A) or zinc transporter 8 (ZnT8A) denote stage 1 (normoglycemia) or stage 2 (dysglycemia) type 1 diabetes prior to stage 3 type 1 diabetes. Automated multiplex Antibody Detection by Agglutination-PCR (ADAP) assays in two laboratories were compared to single plex radiobinding assays (RBA) to define threshold levels for diagnostic specificity and sensitivity. METHODS IAA, GADA, IA-2A and ZnT8A were analysed in 1504 (54% females) population based controls (PBC), 456 (55% females) doctor's office controls (DOC) and 535 (41% females) blood donor controls (BDC) as well as in 2300 (48% females) patients newly diagnosed (1-10 years of age) with stage 3 type 1 diabetes. The thresholds for autoantibody positivity were computed in 100 10-fold cross-validations to separate patients from controls either by maximizing the χ2-statistics (chisq) or using the 98th percentile of specificity (Spec98). Mean and 95% CI for threshold, sensitivity and specificity are presented. FINDINGS The ADAP ROC curves of the four autoantibodies showed comparable AUC in the two ADAP laboratories and were higher than RBA. Detection of two or more autoantibodies using chisq showed 0.97 (0.95, 0.99) sensitivity and 0.94 (0.91, 0.97) specificity in ADAP compared to 0.90 (0.88, 0.95) sensitivity and 0.97 (0.94, 0.98) specificity in RBA. Using Spec98, ADAP showed 0.92 (0.89, 0.95) sensitivity and 0.99 (0.98, 1.00) specificity compared to 0.89 (0.77, 0.86) sensitivity and 1.00 (0.99, 1.00) specificity in the RBA. The diagnostic sensitivity and specificity were higher in PBC compared to DOC and BDC. INTERPRETATION ADAP was comparable in two laboratories, both comparable to or better than RBA, to define threshold levels for two or more autoantibodies to stage type 1 diabetes. FUNDING Supported by The Leona M. and Harry B. Helmsley Charitable Trust (grant number 2009-04078), the Swedish Foundation for Strategic Research (Dnr IRC15-0067) and the Swedish Research Council, Strategic Research Area (Dnr 2009-1039). AL was supported by the DiaUnion collaborative study, co-financed by EU Interreg ÖKS, Capital Region of Denmark, Region Skåne and the Novo Nordisk Foundation.
Collapse
Affiliation(s)
- Alexander Lind
- Department of Clinical Sciences, Lund University CRC, Malmö, Sweden
| | - Eva Freyhult
- Department of Cell and Molecular Biology, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | | | - Anita Ramelius
- Department of Clinical Sciences, Lund University CRC, Malmö, Sweden
| | - Rasmus Bennet
- Department of Clinical Sciences, Lund University CRC, Malmö, Sweden
| | | | - David Seftel
- Enable Biosciences Inc., South San Francisco, CA, USA
| | - David Gebhart
- Enable Biosciences Inc., South San Francisco, CA, USA
| | | | - Marlena Maziarz
- Department of Clinical Sciences, Lund University CRC, Malmö, Sweden
| | | | - Markus Lundgren
- Department of Clinical Sciences, Lund University CRC, Malmö, Sweden
| | | | | | - Malin Fex
- Department of Clinical Sciences, Lund University CRC, Malmö, Sweden
| | - Carina Törn
- Department of Clinical Sciences, Lund University CRC, Malmö, Sweden
| | - Daniel Agardh
- Department of Clinical Sciences, Lund University CRC, Malmö, Sweden
| | | | - Åke Lernmark
- Department of Clinical Sciences, Lund University CRC, Malmö, Sweden.
| |
Collapse
|
2
|
Shields BM, Carlsson A, Patel K, Knupp J, Kaur A, Johnston D, Colclough K, Larsson HE, Forsander G, Samuelsson U, Hattersley A, Ludvigsson J. Development of a clinical calculator to aid the identification of MODY in pediatric patients at the time of diabetes diagnosis. Sci Rep 2024; 14:10589. [PMID: 38719926 PMCID: PMC11079008 DOI: 10.1038/s41598-024-60160-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Accepted: 04/19/2024] [Indexed: 05/12/2024] Open
Abstract
Maturity Onset Diabetes of the Young (MODY) is a young-onset, monogenic form of diabetes without needing insulin treatment. Diagnostic testing is expensive. To aid decisions on who to test, we aimed to develop a MODY probability calculator for paediatric cases at the time of diabetes diagnosis, when the existing "MODY calculator" cannot be used. Firth logistic regression models were developed on data from 3541 paediatric patients from the Swedish 'Better Diabetes Diagnosis' (BDD) population study (n = 46 (1.3%) MODY (HNF1A, HNF4A, GCK)). Model performance was compared to using islet autoantibody testing. HbA1c, parent with diabetes, and absence of polyuria were significant independent predictors of MODY. The model showed excellent discrimination (c-statistic = 0.963) and calibrated well (Brier score = 0.01). MODY probability > 1.3% (ie. above background prevalence) had similar performance to being negative for all 3 antibodies (positive predictive value (PPV) = 10% v 11% respectively i.e. ~ 1 in 10 positive test rate). Probability > 1.3% and negative for 3 islet autoantibodies narrowed down to 4% of the cohort, and detected 96% of MODY cases (PPV = 31%). This MODY calculator for paediatric patients at time of diabetes diagnosis will help target genetic testing to those most likely to benefit, to get the right diagnosis.
Collapse
Affiliation(s)
- Beverley M Shields
- The Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
| | | | - Kashyap Patel
- The Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Julieanne Knupp
- The Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Akaal Kaur
- Faculty of Medicine, Imperial College London, London, UK
| | - Des Johnston
- Faculty of Medicine, Imperial College London, London, UK
| | - Kevin Colclough
- Exeter Genomics Laboratory, The Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Helena Elding Larsson
- Department of Clinical Sciences Malmö, Lund University, Lund, Sweden
- Department of Pediatrics, Skånes University Hospital, Malmö, Sweden
| | - Gun Forsander
- Department of Paediatrics, Institute for Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Region Västra Götaland, Department of Paediatrics, Sahlgrenska University Hospital, Queen Silvia Children's Hospital, Gothenburg, Sweden
| | - Ulf Samuelsson
- Crown Princess Victoria Children's Hospital and Division of Pediatrics, Linköping University, Linköping, Sweden
| | - Andrew Hattersley
- The Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK
| | - Johnny Ludvigsson
- Crown Princess Victoria Children's Hospital and Division of Pediatrics, Linköping University, Linköping, Sweden.
| |
Collapse
|
3
|
Lindgren M, Norström F, Persson M, Elding Larsson H, Forsander G, Åkesson K, Samuelsson U, Ludvigsson J, Carlsson A. Prevalence and Predictive Factors for Celiac Disease in Children With Type 1 Diabetes: Whom and When to Screen? A Nationwide Longitudinal Cohort Study of Swedish Children. Diabetes Care 2024; 47:756-760. [PMID: 38363973 DOI: 10.2337/dc23-1671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2023] [Accepted: 01/28/2024] [Indexed: 02/18/2024]
Abstract
OBJECTIVE To examine the prevalence and predictive factors for celiac disease (CD) after a diagnosis of type 1 diabetes (T1D) in children and adolescents, to improve the current screening guidelines. RESEARCH DESIGN AND METHODS The association between sex, age at T1D diagnosis, HLA, and diabetes autoantibodies, and a diagnosis of CD was examined in 5,295 children with T1D from the Better Diabetes Diagnosis study in Sweden. RESULTS The prevalence of biopsy-proven CD was 9.8%, of which 58.2% already had a CD diagnosis before or at T1D onset. Almost all, 95.9%, were diagnosed with CD within 5 years after the T1D diagnosis. Younger age at the T1D diagnosis and being homozygote for DQ2 increased the risk of CD after T1D, but neither sex nor diabetes-related autoantibodies were associated with the risk. CONCLUSIONS Age at and time after diabetes diagnosis should be considered in screening guidelines for CD in children with T1D.
Collapse
Affiliation(s)
- Marie Lindgren
- Department of Clinical Science, Lund University, Lund, Sweden
- Department of Paediatrics, Vrinnevi Hospital, Norrköping, Sweden
| | - Fredrik Norström
- Department of Epidemiology and Global Health, Umeå University, Umeå, Sweden
| | - Martina Persson
- Department of Medicine, Clinical Epidemiology, Karolinska University Hospital, Stockholm, Sweden
| | - Helena Elding Larsson
- Department of Clinical Science Malmö, Lund University, Lund, Sweden
- Department of Paediatrics, Skåne University Hospital, Malmö/Lund, Sweden
| | - Gun Forsander
- Department of Paediatrics, Institute for Clinical Science, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Queen Silvia Children's Hospital, Sahlgrenska University Hospital, Gothenburg, Sweden
| | - Karin Åkesson
- Division of Paediatrics, Department of Biomedical and Clinical Science, Linköping University, Linköping, Sweden
- Department of Paediatrics, County Hospital Ryhov, Jönköping, Sweden
| | - Ulf Samuelsson
- Division of Paediatrics, Department of Biomedical and Clinical Science, Linköping University, Linköping, Sweden
- Crown Princess Victoria Children's Hospital, Linköping University Hospital, Linköping, Sweden
| | - Johnny Ludvigsson
- Division of Paediatrics, Department of Biomedical and Clinical Science, Linköping University, Linköping, Sweden
- Crown Princess Victoria Children's Hospital, Linköping University Hospital, Linköping, Sweden
| | - Annelie Carlsson
- Department of Clinical Science, Lund University, Lund, Sweden
- Department of Paediatrics, Skåne University Hospital, Malmö/Lund, Sweden
| |
Collapse
|
4
|
Lundkvist P, Grönberg A, Carlsson PO, Ludvigsson J, Espes D. Predictive biomarkers of rapidly developing insulin deficiency in children with type 1 diabetes. BMJ Open Diabetes Res Care 2024; 12:e003924. [PMID: 38413173 PMCID: PMC10900379 DOI: 10.1136/bmjdrc-2023-003924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2023] [Accepted: 02/04/2024] [Indexed: 02/29/2024] Open
Abstract
INTRODUCTION The rate of progression to complete insulin deficiency varies greatly in type 1 diabetes. This constitutes a challenge, especially when randomizing patients in intervention trials aiming to preserve beta cell function. This study aimed to identify biomarkers predictive of either a rapid or slow disease progression in children with new-onset type 1 diabetes. RESEARCH DESIGN AND METHODS A retrospective, longitudinal cohort study of children (<18 years) with type 1 diabetes (N=46) was included at diagnosis and followed until complete insulinopenia (C-peptide <0.03 nmol/L). Children were grouped into rapid progressors (n=20, loss within 30 months) and slow progressors (n=26). A sex-matched control group of healthy children (N=45) of similar age was included for comparison. Multiple biomarkers were assessed by proximity extension assay (PEA) at baseline and follow-up. RESULTS At baseline, rapid progressors had lower C-peptide and higher autoantibody levels than slow. Three biomarkers were higher in the rapid group: carbonic anhydrase 9, corticosteroid 11-beta-dehydrogenase isozyme 1, and tumor necrosis factor receptor superfamily member 21. In a linear mixed model, 25 proteins changed over time, irrespective of group. One protein, a coxsackievirus B-adenovirus receptor (CAR) increased over time in rapid progressors. Eighty-one proteins differed between type 1 diabetes and healthy controls. Principal component analysis could not distinguish between rapid, slow, and healthy controls. CONCLUSIONS Despite differences in individual proteins, the combination of multiple biomarkers analyzed by PEA could not distinguish the rate of progression in children with new-onset type 1 diabetes. Only one marker was altered significantly when considering both time and group effects, namely CAR, which increased significantly over time in the rapid group. Nevertheless, we did find some markers that may be useful in predicting the decline of the C-peptide. Moreover, these could potentially be important for understanding type 1 diabetes pathogenesis.
Collapse
Affiliation(s)
- Per Lundkvist
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Annika Grönberg
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Per-Ola Carlsson
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
| | - Johnny Ludvigsson
- Department of Biomedical and Clinical Sciences, Linköping University, Crown Princess Victoria Children's Hospital and Division of Pediatrics, Linköping, Sweden
| | - Daniel Espes
- Science for Life Laboratory, Department of Medical Sciences, Uppsala University, Uppsala, Sweden
- Science for Life Laboratory, Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
| |
Collapse
|
5
|
Thomas NJ, Jones AG. The challenges of identifying and studying type 1 diabetes in adults. Diabetologia 2023; 66:2200-2212. [PMID: 37728732 PMCID: PMC10628058 DOI: 10.1007/s00125-023-06004-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Accepted: 07/14/2023] [Indexed: 09/21/2023]
Abstract
Diagnosing type 1 diabetes in adults is difficult since type 2 diabetes is the predominant diabetes type, particularly with an older age of onset (approximately >30 years). Misclassification of type 1 diabetes in adults is therefore common and will impact both individual patient management and the reported features of clinically classified cohorts. In this article, we discuss the challenges associated with correctly identifying adult-onset type 1 diabetes and the implications of these challenges for clinical practice and research. We discuss how many of the reported differences in the characteristics of autoimmune/type 1 diabetes with increasing age of diagnosis are likely explained by the inadvertent study of mixed populations with and without autoimmune aetiology diabetes. We show that when type 1 diabetes is defined by high-specificity methods, clinical presentation, islet-autoantibody positivity, genetic predisposition and progression of C-peptide loss remain broadly similar and severe at all ages and are unaffected by onset age within adults. Recent clinical guidance recommends routine islet-autoantibody testing when type 1 diabetes is clinically suspected or in the context of rapid progression to insulin therapy after a diagnosis of type 2 diabetes. In this moderate or high prior-probability setting, a positive islet-autoantibody test will usually confirm autoimmune aetiology (type 1 diabetes). We argue that islet-autoantibody testing of those with apparent type 2 diabetes should not be routinely undertaken as, in this low prior-prevalence setting, the positive predictive value of a single-positive islet antibody for autoimmune aetiology diabetes will be modest. When studying diabetes, extremely high-specificity approaches are needed to identify autoimmune diabetes in adults, with the optimal approach depending on the research question. We believe that until these recommendations are widely adopted by researchers, the true phenotype of late-onset type 1 diabetes will remain largely misunderstood.
Collapse
Affiliation(s)
- Nicholas J Thomas
- Department of Clinical and Biological Sciences, University of Exeter, Exeter, UK
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK
| | - Angus G Jones
- Department of Clinical and Biological Sciences, University of Exeter, Exeter, UK.
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, UK.
| |
Collapse
|
6
|
Tojjar J, Cervin M, Hedlund E, Brahimi Q, Forsander G, Elding Larsson H, Ludvigsson J, Samuelsson U, Marcus C, Persson M, Carlsson A. Sex Differences in Age of Diagnosis, HLA Genotype, and Autoantibody Profile in Children With Type 1 Diabetes. Diabetes Care 2023; 46:1993-1996. [PMID: 37699205 DOI: 10.2337/dc23-0124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/22/2023] [Accepted: 08/11/2023] [Indexed: 09/14/2023]
Abstract
OBJECTIVE To examine sex differences in children with newly diagnosed type 1 diabetes (T1D) with respect to age at diagnosis, presence of autoantibodies (GAD antibody [GADA], insulinoma-associated protein 2 [IA-2A], insulin autoantibody [IAA], and zinc transporter 8 autoantibody), and HLA risk. RESEARCH DESIGN AND METHODS A population-based nationwide sample of 3,645 Swedish children at T1D diagnosis was used. RESULTS Girls were younger at T1D diagnosis (9.53 vs. 10.23 years; P < 0.001), more likely to be autoantibody-positive (94.7% vs. 92.0%; P = 0.002), more often positive for multiple autoantibodies (P < 0.001), more likely to be positive for GADA (64.9% vs. 49.0%; P < 0.001), and less likely to be positive for IAA (32.3% vs. 33.8%; P = 0.016). Small sex differences in HLA risk were found in children <9 years of age. CONCLUSIONS The disease mechanisms leading to T1D may influence the immune system differently in girls and boys.
Collapse
Affiliation(s)
- Jasaman Tojjar
- Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Matti Cervin
- Department of Clinical Sciences, Lund University, Lund, Sweden
| | - Emma Hedlund
- Department of Clinical Sciences, Lund University, Lund, Sweden
- Department of Paediatrics, Kristianstad Central Hospital, Kristianstad, Sweden
| | - Qefsere Brahimi
- Department of Clinical Sciences, Malmö, Clinical Research Center, Lund University, Malmö, Sweden
| | - Gun Forsander
- The Queen Silvia Children's Hospital, Sahlgrenska University Hospital, Gothenburg, Sweden
- Institute of Clinical Sciences, University of Gothenburg, Gothenburg, Sweden
| | - Helena Elding Larsson
- Department of Clinical Sciences, Malmö, Clinical Research Center, Lund University, Malmö, Sweden
- Skåne University Hospital, Malmö, Sweden
| | - Johnny Ludvigsson
- Crown Princess Victoria Childreńs Hospital, Linköping University Hospital, Linköping, Sweden
- Division of Pediatrics, Department of Biomedical and Clinical Sciences (BKV), Medical Faculty, Linköping University, Linköping, Sweden
| | - Ulf Samuelsson
- Crown Princess Victoria Childreńs Hospital, Linköping University Hospital, Linköping, Sweden
- Division of Pediatrics, Department of Biomedical and Clinical Sciences (BKV), Medical Faculty, Linköping University, Linköping, Sweden
| | - Claude Marcus
- Division of Pediatrics, Department of Clinical Science Intervention and Technology, Karolinska Institute, Stockholm, Sweden
| | - Martina Persson
- Department of Medicine, Clinical Epidemiology, Karolinska Institute, Stockholm, Sweden
- Department of Clinical Science and Education, Karolinska Institute, Södersjukhuset, Stockholm, Sweden
| | | |
Collapse
|
7
|
Ludvigsson J. Determination of autoantibodies in type 2 diabetes: one simple way to improve classification. Diabetologia 2023; 66:955-957. [PMID: 36629876 DOI: 10.1007/s00125-022-05858-4] [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: 10/12/2022] [Accepted: 11/28/2022] [Indexed: 01/12/2023]
Abstract
This letter aims to increase interest in better classification of type 2 diabetes. This can be done in a simple and cheap way via determination of autoantibodies. Autoantibody analysis can be used to detect the 7-12% of people with diabetes that is phenotypic of type 2 diabetes but is, in fact, latent autoimmune diabetes in adults (LADA), which may be regarded as a variant of type 1 diabetes. This may help to explain why some individuals with type 2 diabetes do not go into remission after reducing their weight, while others do, and why remission sometimes ends earlier than expected. Improved classification of diabetes may play an important role in determining adequate therapy.
Collapse
Affiliation(s)
- Johnny Ludvigsson
- Division of Pediatrics, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
| |
Collapse
|
8
|
Hedlund E, Ludvigsson J, Elding Larsson H, Forsander G, Ivarsson S, Marcus C, Samuelsson U, Persson M, Carlsson A. Month of birth and the risk of developing type 1 diabetes among children in the Swedish national Better Diabetes Diagnosis Study. Acta Paediatr 2022; 111:2378-2383. [PMID: 35615774 PMCID: PMC9795915 DOI: 10.1111/apa.16426] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 05/18/2022] [Accepted: 05/24/2022] [Indexed: 12/30/2022]
Abstract
AIM Previous studies have reported an association between month of birth and incidence of type 1 diabetes. Using population-based data, including almost all newly diagnosed children with type 1 diabetes in Sweden, we tested whether month of birth influences the risk of type 1 diabetes. METHODS For 8761 children diagnosed with type 1 diabetes between May 2005 and December 2016 in the Better Diabetes Diagnosis study, month of birth, sex and age were compared. Human leucocyte antigen (HLA) genotype and autoantibodies at diagnosis were analysed for a subset of the cohort (n = 3647). Comparisons with the general population used data from Statistics Sweden. RESULTS We found no association between month of birth or season and the incidence of type 1 diabetes in the cohort as a whole. However, boys diagnosed before 5 years were more often born in May (p = 0.004). We found no correlation between month of birth and HLA or antibodies. CONCLUSION In this large nationwide study, the impact of month of birth on type 1 diabetes diagnosis was weak, except for boys diagnosed before 5 years of age, who were more likely born in May. This may suggest different triggers for different subgroups of patients with type 1 diabetes.
Collapse
Affiliation(s)
- Emma Hedlund
- Department of Clinical Sciences LundLund UniversityLundSweden,Department of PaediatricsKristianstad Central HospitalKristianstadSweden
| | - Johnny Ludvigsson
- Crown Princess Victoria Children's HospitalLinköping University HospitalLinköpingSweden,Division of Pediatrics, Department of Biomedical and Clinical Sciences (BKV), Medical FacultyLinköping UniversityLinköpingSweden
| | - Helena Elding Larsson
- Department of Clinical Sciences, MalmöLund University, CRCMalmöSweden,Skåne University HospitalMalmöSweden
| | - Gun Forsander
- The Queen Silvia Children's HospitalSahlgrenska University HospitalGothenburgSweden,Institute of Clinical SciencesUniversity of GothenburgGothenburgSweden
| | - Sten Ivarsson
- Department of Clinical Sciences, MalmöLund University, CRCMalmöSweden
| | - Claude Marcus
- Division of Pediatrics, Department of Clinical Science Intervention and TechnologyKarolinska InstituteStockholmSweden
| | - Ulf Samuelsson
- Crown Princess Victoria Children's HospitalLinköping University HospitalLinköpingSweden,Division of Pediatrics, Department of Biomedical and Clinical Sciences (BKV), Medical FacultyLinköping UniversityLinköpingSweden
| | - Martina Persson
- Department of Medicine, Clinical EpidemiologyKarolinska InstituteStockholmSweden,Department of Clinical Science and EducationKarolinska Institute, SödersjukhusetStockholmSweden
| | - Annelie Carlsson
- Department of Clinical Sciences LundLund UniversityLundSweden,Skåne University HospitalMalmöSweden
| |
Collapse
|
9
|
Grönberg A, Espes D, Carlsson PO, Ludvigsson J. Higher risk of severe hypoglycemia in children and adolescents with a rapid loss of C-peptide during the first 6 years after type 1 diabetes diagnosis. BMJ Open Diabetes Res Care 2022; 10:e002991. [PMID: 36384886 PMCID: PMC9670837 DOI: 10.1136/bmjdrc-2022-002991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Accepted: 10/18/2022] [Indexed: 11/17/2022] Open
Abstract
INTRODUCTION The progression to insulin deficiency in type 1 diabetes is heterogenous. This study aimed to identify early characteristics associated with rapid or slow decline of beta-cell function and how it affects the clinical course. RESEARCH DESIGN AND METHODS Stimulated C-peptide was assessed by mixed meal tolerance test in 50 children (<18 years) during 2004-2017, at regular intervals for 6 years from type 1 diabetes diagnosis. 40% of the children had a rapid decline of stimulated C-peptide defined as no measurable C-peptide (<0.03 nmol/L) 30 months after diagnosis. RESULTS At diagnosis, higher frequencies of detectable glutamic acid decarboxylase antibodies (GADA) and IA-2A (p=0.027) were associated with rapid loss of beta-cell function. C-peptide was predicted positively by age at 18 months (p=0.017) and 30 months duration (p=0.038). BMI SD scores (BMISDS) at diagnosis predicted higher C-peptide at diagnosis (p=0.006), 3 months (p=0.002), 9 months (p=0.005), 30 months (p=0.022), 3 years (p=0.009), 4 years (p=0.016) and 6 years (p=0.026), whereas high HbA1c and blood glucose at diagnosis predicted a lower C-peptide at diagnosis (p=<0.001) for both comparisons. Both GADA and IA-2A were negative predictors of C-peptide at 9 months (p=0.011), 18 months (p=0.008) and 30 months (p<0.001). Ten children had 22 events of severe hypoglycemia, and they had lower mean C-peptide at 18 months (p=0.025), 30 months (p=0.008) and 6 years (p=0.018) compared with others. Seven of them had a rapid decline of C-peptide (p=0.030), and the odds to experience a severe hypoglycemia were nearly fivefold increased (OR=4.846, p=0.04). CONCLUSIONS Low age and presence of multiple autoantibodies at diagnosis predicts a rapid loss of beta-cell function in children with type 1 diabetes. Low C-peptide is associated with an increased risk of severe hypoglycemia and higher Hemoglobin A1C. A high BMISDS at diagnosis is predictive of remaining beta-cell function during the 6 years of follow-up.
Collapse
Affiliation(s)
- Annika Grönberg
- Department of Women's and Children's Health, Uppsala Universitet Institutionen for kvinnors och barns halsa, Uppsala, Sweden
| | - Daniel Espes
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
- Science for Life Laboratory, Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
| | - Per-Ola Carlsson
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
- Science for Life Laboratory, Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
| | - Johnny Ludvigsson
- Department of Biomedical and Clinical Scienses, Linkopings Universitet, Linkoping, Sweden
| |
Collapse
|
10
|
Cerqueiro Bybrant M, Udén E, Frederiksen F, Gustafsson AL, Arvidsson C, Fureman A, Forsander G, Elding Larsson H, Ivarsson SA, Lindgren M, Ludvigsson J, Marcus C, Pundziute Lyckå A, Persson M, Samuelsson U, Särnblad S, Åkesson K, Örtqvist E, Carlsson A. Celiac disease can be predicted by high levels of tissue transglutaminase antibodies in children and adolescents with type 1 diabetes. Pediatr Diabetes 2021; 22:417-424. [PMID: 33259121 PMCID: PMC8048786 DOI: 10.1111/pedi.13165] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/21/2020] [Revised: 09/24/2020] [Accepted: 11/11/2020] [Indexed: 12/11/2022] Open
Abstract
OBJECTIVES Children with type 1 diabetes (T1D) are not included in guidelines regarding diagnosis criteria for celiac disease (CD) without a diagnostic biopsy, due to lack of data. We explored whether tissue transglutaminase antibodies (anti-tTG) that were ≥ 10 times the upper limit of normal (10× ULN) predicted CD in T1D. METHODS Data from the Swedish prospective Better Diabetes Diagnosis study was used, and 2035 children and adolescents with T1D diagnosed between 2005-2010 were included. Of these, 32 had been diagnosed with CD before T1D. The children without CD were repeatedly screened for CD using anti-tTG antibodies of immunoglobulin type A. In addition, their human leukocyte antigen (HLA) were genotyped. All children with positive anti-tTG were advised to undergo biopsy. Biopsies were performed on 119 children and graded using the Marsh-Oberhüber classification. RESULTS All of the 60 children with anti-tTG ≥10x ULN had CD verified by biopsies. The degree of mucosal damage correlated with anti-tTG levels. Among 2003 screened children, 6.9% had positive anti-tTG and 5.6% were confirmed CD. The overall CD prevalence, when including the 32 children with CD before T1D, was 7.0% (145/2035). All but one of the children diagnosed with CD had HLA-DQ2 and/or DQ8. CONCLUSIONS As all screened children and adolescents with T1D with tissue transglutaminase antibodies above 10 times the positive value 10x ULN had CD, we propose that the guidelines for diagnosing CD in screened children, when biopsies can be omitted, should also apply to children and adolescents with T1D as a noninvasive method.
Collapse
Affiliation(s)
- Mara Cerqueiro Bybrant
- Pediatric Endocrinology Unit, Department of Women's and Children's HealthKarolinska InstitutetStockholmSweden
| | | | | | | | | | | | - Gun Forsander
- Department of PediatricsInstitute of Clinical Sciences, Sahlgrenska Academy, University of GothenburgGothenburgSweden,Department of PediatricsQueen Silvia Children's Hospital, Sahlgrenska University HospitalGothenburgSweden
| | - Helena Elding Larsson
- Department of Clinical SciencesLund University/Clinical Research Centre, Skåne University HospitalMalmöSweden
| | - Sten A Ivarsson
- Department of Clinical SciencesLund University, Skåne University HospitalPediatrics, LundSweden
| | - Marie Lindgren
- Department of Clinical SciencesLund University, Skåne University HospitalPediatrics, LundSweden,Children's Clinic, Vrinnevi hospitalNorrköpingSweden
| | - Johnny Ludvigsson
- Crown Princess Victoria's Children's and Youth Hospital, University HospitalLinköpingSweden,Division of Pediatrics, Department of Clinical and Experimental MedicineLinköping UniversityLinköpingSweden
| | - Claude Marcus
- Division of Pediatrics, Department of Clinical Science Intervention and TechnologyKarolinska InstituteStockholmSweden
| | - Auste Pundziute Lyckå
- Department of PediatricsQueen Silvia Children's Hospital, Sahlgrenska University HospitalGothenburgSweden
| | - Martina Persson
- Department of MedicineClinical Epidemiology, Karolinska University HospitalStockholmSweden
| | - Ulf Samuelsson
- Crown Princess Victoria's Children's and Youth Hospital, University HospitalLinköpingSweden,Division of Pediatrics, Department of Clinical and Experimental MedicineLinköping UniversityLinköpingSweden
| | | | - Karin Åkesson
- Department of PediatricsRyhov County HospitalJönköpingSweden,Jönköping Academy for Improvement of Health and WelfareJönköping UniversityJönköpingSweden
| | - Eva Örtqvist
- Pediatric Endocrinology Unit, Department of Women's and Children's HealthKarolinska InstitutetStockholmSweden
| | - Annelie Carlsson
- Department of Clinical SciencesLund University, Skåne University HospitalPediatrics, LundSweden
| |
Collapse
|
11
|
Nine residues in HLA-DQ molecules determine with susceptibility and resistance to type 1 diabetes among young children in Sweden. Sci Rep 2021; 11:8821. [PMID: 33893332 PMCID: PMC8065060 DOI: 10.1038/s41598-021-86229-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 03/04/2021] [Indexed: 11/09/2022] Open
Abstract
HLA-DQ molecules account over 50% genetic risk of type 1 diabetes (T1D), but little is known about associated residues. Through next generation targeted sequencing technology and deep learning of DQ residue sequences, the aim was to uncover critical residues and their motifs associated with T1D. Our analysis uncovered (αa1, α44, α157, α196) and (β9, β30, β57, β70, β135) on the HLA-DQ molecule. Their motifs captured all known susceptibility and resistant T1D associations. Three motifs, “DCAA-YSARD” (OR = 2.10, p = 1.96*10−20), “DQAA-YYARD” (OR = 3.34, 2.69*10−72) and “DQDA-YYARD” (OR = 3.71, 1.53*10−6) corresponding to DQ2.5 and DQ8.1 (the latter two motifs) associated with susceptibility. Ten motifs were significantly associated with resistance to T1D. Collectively, homozygous DQ risk motifs accounted for 43% of DQ-T1D risk, while homozygous DQ resistant motifs accounted for 25% protection to DQ-T1D risk. Of the identified nine residues five were within or near anchoring pockets of the antigenic peptide (α44, β9, β30, β57 and β70), one was the N-terminal of the alpha chain (αa1), one in the CD4-binding region (β135), one in the putative cognate TCR-induced αβ homodimerization process (α157), and one in the intra-membrane domain of the alpha chain (α196). Finding these critical residues should allow investigations of fundamental properties of host immunity that underlie tolerance to self and organ-specific autoimmunity.
Collapse
|
12
|
Alshiekh S, Maziarz M, Geraghty DE, Larsson HE, Agardh D. High-resolution genotyping indicates that children with type 1 diabetes and celiac disease share three HLA class II loci in DRB3, DRB4 and DRB5 genes. HLA 2020; 97:44-51. [PMID: 33043613 PMCID: PMC7756432 DOI: 10.1111/tan.14105] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 09/15/2020] [Accepted: 10/09/2020] [Indexed: 12/19/2022]
Abstract
Type 1 diabetes (T1D) and celiac disease (CD) share common genetic loci, mainly within the human leukocyte antigen (HLA) class II complex. Extended genotyping of HLA class II alleles and their potential risk for developing both diseases remains to be studied. The present study compared extended HLA-class II gene polymorphisms in children with T1D, CD, and a subgroup diagnosed with both diseases (T1D w/CD). Next-generation targeted sequencing (NGTS) of HLA-DRB3, DRB4, DRB5, DRB1, DQA1, DQB1, DPA1, and DPB1 alleles from DNA collected from 68 T1D, 219 CD, and seven T1D w/CD patients were compared with 636 HLA-genotyped Swedish children from the general population selected as controls. In comparison to controls, the DRB4*01:03:01 allele occurred more frequently in T1D w/CD (odds ratio (OR) = 7.84; 95% confidence interval (95% CI) = (2.24, 34.5), P = 0.0002) and T1D (OR = 3.86; 95% CI, (2.69, 5.55), P = 1.07 × 10-14 ), respectively. The DRB3*01:01:02 allele occurred more frequently in CD as compared to controls (OR = 7.87; 95% CI, (6.17, 10.03), P = 4.24 × 10-71 ), but less frequently in T1D (OR = 2.59; 95% CI, (1.76, 3.81), P = 7.29 × 10-07 ) and T1D w/CD (OR = 0.87; 95% CI, (0.09, 3.96), P ≤ 0.999). The frequency of the DRB4*01:03:01-DRB1*04:01:01-DQA1*03:01:01-DQB1*03:02:01 (DR4-DQ8) haplotype was higher in T1D w/CD (OR = 12.88; 95% CI (4.35, 38.14) P = 3.75 × 10-9 ), and moderately higher in T1D (OR = 2.13; 95% CI (1.18, 3.83) P = 0.01) compared with controls, but comparable in CD (OR = 1.45; 95% CI (0.94, 2.21), P = 0.08) and controls. Children with T1D and CD are associated with DRB4*01:03:01, DRB3*01:01:02, and DRB3*02:02:01 of which DRB4*01:03:01 confers the strongest risk allele for developing T1D w/CD.
Collapse
Affiliation(s)
- Shehab Alshiekh
- Department of Clinical Sciences, Lund University/CRC, Skåne University Hospital SUS, Malmö, Sweden.,Department of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Marlena Maziarz
- Department of Clinical Sciences, Lund University/CRC, Skåne University Hospital SUS, Malmö, Sweden
| | - Daniel E Geraghty
- Clinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Helena E Larsson
- Department of Clinical Sciences, Lund University/CRC, Skåne University Hospital SUS, Malmö, Sweden
| | - Daniel Agardh
- Department of Clinical Sciences, Lund University/CRC, Skåne University Hospital SUS, Malmö, Sweden
| |
Collapse
|
13
|
Ek AE, Samuelsson U, Janson A, Carlsson A, Elimam A, Marcus C. Microalbuminuria and retinopathy in adolescents and young adults with type 1 and type 2 diabetes. Pediatr Diabetes 2020; 21:1310-1321. [PMID: 32613727 DOI: 10.1111/pedi.13074] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/08/2020] [Revised: 05/26/2020] [Accepted: 06/22/2020] [Indexed: 12/28/2022] Open
Abstract
AIM To estimate the occurrence of complications related to early-onset type 2 diabetes compared with type 1 diabetes. METHODS All individuals registered in the Swedish Pediatric Quality Diabetes Register and the Swedish National Diabetes Register with type 2 diabetes diagnosis at 10 to 25 years of age between 1996 and 2014 (n = 1413) were included. As controls, individuals with type 1 diabetes were randomly selected from the same registers and were matched for age, sex, and year-of-onset (n = 3748). RESULTS Of the adolescents with type 2 diabetes in the pediatric register, 7.7% had microalbuminuria and 24.6% had signs of retinopathy 5 years after diagnosis, whereas the adolescents with type 1 diabetes 3.8% had microalbuminuria and 19.2% had retinopathy. Among the young adults with type 2 diabetes from the adult diabetes register 10 years after diagnosis 15.2% had microalbuminuria and 39.7% retinopathy, whereas the young adults with type 1 diabetes 4.8% had microalbuminuria and 43.8% retinopathy. After adjustment for established risk factors measured over time in the whole combined cohort, individuals with type 2 diabetes had significantly higher risk of microalbuminuria with a hazard ratio (HR) of 3.32 (95% confidence interval, CI 2.86-3.85, P < .001), and retinopathy with a HR of 1.17 (95% CI 1.06-1.30, P 0.04). CONCLUSIONS The prevalence of complications and comorbidities was higher among those with type 2 diabetes compared with type 1 diabetes, although prevalent in both groups. Early monitoring and more active treatment of type 2 diabetes in young individuals is required.
Collapse
Affiliation(s)
- Anna E Ek
- Division of Pediatrics, Department of Clinical Science, Intervention, and Technology, Karolinska Institute, Stockholm, Sweden.,Pediatric Endocrinology and Metabolic Diseases, Karolinska University Hospital, Stockholm, Sweden
| | - Ulf Samuelsson
- Division of Pediatrics, Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| | - Annika Janson
- Pediatric Endocrinology and Metabolic Diseases, Karolinska University Hospital, Stockholm, Sweden.,National Childhood Obesity Centre, Karolinska University Hospital, Stockholm, Sweden.,Division of Pediatric Endocrinology, Department of Women's and Children's Health, Karolinska Institute, Stockholm, Sweden
| | - Annelie Carlsson
- Pediatrics, Department of Clinical Sciences, Skåne University Hospital, Lund University, Lund, Sweden
| | - Amira Elimam
- Division of Pediatrics, Department of Clinical Science, Intervention, and Technology, Karolinska Institute, Stockholm, Sweden.,Pediatric Endocrinology and Metabolic Diseases, Karolinska University Hospital, Stockholm, Sweden
| | - Claude Marcus
- Division of Pediatrics, Department of Clinical Science, Intervention, and Technology, Karolinska Institute, Stockholm, Sweden
| |
Collapse
|
14
|
Carlsson A, Shepherd M, Ellard S, Weedon M, Lernmark Å, Forsander G, Colclough K, Brahimi Q, Valtonen-Andre C, Ivarsson SA, Elding Larsson H, Samuelsson U, Örtqvist E, Groop L, Ludvigsson J, Marcus C, Hattersley AT. Absence of Islet Autoantibodies and Modestly Raised Glucose Values at Diabetes Diagnosis Should Lead to Testing for MODY: Lessons From a 5-Year Pediatric Swedish National Cohort Study. Diabetes Care 2020; 43:82-89. [PMID: 31704690 PMCID: PMC6925576 DOI: 10.2337/dc19-0747] [Citation(s) in RCA: 63] [Impact Index Per Article: 15.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Accepted: 10/19/2019] [Indexed: 02/06/2023]
Abstract
OBJECTIVE Identifying maturity-onset diabetes of the young (MODY) in pediatric populations close to diabetes diagnosis is difficult. Misdiagnosis and unnecessary insulin treatment are common. We aimed to identify the discriminatory clinical features at diabetes diagnosis of patients with glucokinase (GCK), hepatocyte nuclear factor-1A (HNF1A), and HNF4A MODY in the pediatric population. RESEARCH DESIGN AND METHODS Swedish patients (n = 3,933) aged 1-18 years, diagnosed with diabetes May 2005 to December 2010, were recruited from the national consecutive prospective cohort Better Diabetes Diagnosis. Clinical data, islet autoantibodies (GAD insulinoma antigen-2, zinc transporter 8, and insulin autoantibodies), HLA type, and C-peptide were collected at diagnosis. MODY was identified by sequencing GCK, HNF1A, and HNF4A, through either routine clinical or research testing. RESULTS The minimal prevalence of MODY was 1.2%. Discriminatory factors for MODY at diagnosis included four islet autoantibody negativity (100% vs. 11% not-known MODY; P = 2 × 10-44), HbA1c (7.0% vs. 10.7% [53 vs. 93 mmol/mol]; P = 1 × 10-20), plasma glucose (11.7 vs. 26.7 mmol/L; P = 3 × 10-19), parental diabetes (63% vs. 12%; P = 1 × 10-15), and diabetic ketoacidosis (0% vs. 15%; P = 0.001). Testing 303 autoantibody-negative patients identified 46 patients with MODY (detection rate 15%). Limiting testing to the 73 islet autoantibody-negative patients with HbA1c <7.5% (58 mmol/mol) at diagnosis identified 36 out of 46 (78%) patients with MODY (detection rate 49%). On follow-up, the 46 patients with MODY had excellent glycemic control, with an HbA1c of 6.4% (47 mmol/mol), with 42 out of 46 (91%) patients not on insulin treatment. CONCLUSIONS At diagnosis of pediatric diabetes, absence of all islet autoantibodies and modest hyperglycemia (HbA1c <7.5% [58 mmol/mol]) should result in testing for GCK, HNF1A, and HNF4A MODY. Testing all 12% patients negative for four islet autoantibodies is an effective strategy for not missing MODY but will result in a lower detection rate. Identifying MODY results in excellent long-term glycemic control without insulin.
Collapse
Affiliation(s)
- Annelie Carlsson
- Department of Clinical Sciences, Lund University/Clinical Research Centre, Skåne University Hospital, Malmö, Sweden
| | - Maggie Shepherd
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K
| | - Sian Ellard
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K.,Molecular Genetics, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - Michael Weedon
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K
| | - Åke Lernmark
- Department of Clinical Sciences, Lund University/Clinical Research Centre, Skåne University Hospital, Malmö, Sweden
| | - Gun Forsander
- The Queen Silvia Children's Hospital, Sahlgrenska University Hospital, Gothenburg, Sweden.,Institute of Clinical Sciences, University of Gothenburg, Gothenburg, Sweden
| | - Kevin Colclough
- Molecular Genetics, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - Qefsere Brahimi
- Department of Clinical Sciences, Lund University/Clinical Research Centre, Skåne University Hospital, Malmö, Sweden
| | - Camilla Valtonen-Andre
- Department of Clinical Chemistry, University and Regional Laboratories Region Skåne, Malmö, Sweden
| | - Sten A Ivarsson
- Department of Clinical Sciences, Lund University/Clinical Research Centre, Skåne University Hospital, Malmö, Sweden
| | - Helena Elding Larsson
- Department of Clinical Sciences, Lund University/Clinical Research Centre, Skåne University Hospital, Malmö, Sweden
| | - Ulf Samuelsson
- Crown Princess Victoria's Children's and Youth Hospital, University Hospital, Linköping, Sweden.,Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| | - Eva Örtqvist
- Pediatric Endocrinology Unit, Department of Women's and Children's Health, Karolinska Institute, Stockholm, Sweden
| | - Leif Groop
- Finnish Institute for Molecular Medicine, Helsinki University, Helsinki, Finland
| | - Johnny Ludvigsson
- Crown Princess Victoria's Children's and Youth Hospital, University Hospital, Linköping, Sweden.,Department of Clinical and Experimental Medicine, Linköping University, Linköping, Sweden
| | - Claude Marcus
- Division of Pediatrics, Department of Clinical Science Intervention and Technology, Karolinska Institute, Stockholm, Sweden
| | - Andrew T Hattersley
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K.
| |
Collapse
|
15
|
Aydemir Ö, Noble JA, Bailey JA, Lernmark Å, Marsh P, Andersson Svärd A, Bearoff F, Blankenhorn EP, Mordes JP. Genetic Variation Within the HLA-DRA1 Gene Modulates Susceptibility to Type 1 Diabetes in HLA-DR3 Homozygotes. Diabetes 2019; 68:1523-1527. [PMID: 30962219 PMCID: PMC6609989 DOI: 10.2337/db18-1128] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2018] [Accepted: 03/28/2019] [Indexed: 01/22/2023]
Abstract
Type 1 diabetes (T1D) involves the interaction of multiple gene variants, environmental factors, and immunoregulatory dysfunction. Major T1D genetic risk loci encode HLA-DR and -DQ. Genetic heterogeneity and linkage disequilibrium in the highly polymorphic HLA region confound attempts to identify additional T1D susceptibility loci. To minimize HLA heterogeneity, T1D patients (N = 365) and control subjects (N = 668) homozygous for the HLA-DR3 high-risk haplotype were selected from multiple large T1D studies and examined to identify new T1D susceptibility loci using molecular inversion probe sequencing technology. We report that risk for T1D in HLA-DR3 homozygotes is increased significantly by a previously unreported haplotype of three single nucleotide polymorphisms (SNPs) within the first intron of HLA-DRA1. The homozygous risk haplotype has an odds ratio of 4.65 relative to the protective homozygous haplotype in our sample. Individually, these SNPs reportedly function as "expression quantitative trait loci," modulating HLA-DR and -DQ expression. From our analysis of available data, we conclude that the tri-SNP haplotype within HLA-DRA1 may modulate class II expression, suggesting that increased T1D risk could be attributable to regulated expression of class II genes. These findings could help clarify the role of HLA in T1D susceptibility and improve diabetes risk assessment, particularly in high-risk HLA-DR3 homozygous individuals.
Collapse
Affiliation(s)
- Özkan Aydemir
- Division of Transfusion Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, MA
| | | | - Jeffrey A Bailey
- Division of Transfusion Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, MA
| | - Åke Lernmark
- Department of Clinical Sciences, Lund University/CRC, Skåne University Hospital, Malmö, Sweden
| | - Patrick Marsh
- Division of Transfusion Medicine, Department of Medicine, University of Massachusetts Medical School, Worcester, MA
| | - Agnes Andersson Svärd
- Department of Clinical Sciences, Lund University/CRC, Skåne University Hospital, Malmö, Sweden
| | - Frank Bearoff
- Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA
| | - Elizabeth P Blankenhorn
- Department of Microbiology and Immunology, Drexel University College of Medicine, Philadelphia, PA
| | - John P Mordes
- Division of Endocrinology, Department of Medicine, University of Massachusetts Medical School, Worcester, MA
| | | |
Collapse
|
16
|
Lundgren M, Jonsdottir B, Elding Larsson H. Effect of screening for type 1 diabetes on early metabolic control: the DiPiS study. Diabetologia 2019; 62:53-57. [PMID: 30109365 PMCID: PMC6290658 DOI: 10.1007/s00125-018-4706-z] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/30/2018] [Accepted: 07/03/2018] [Indexed: 12/25/2022]
Abstract
AIMS/HYPOTHESIS It has been shown that children previously enrolled in follow-up studies have better glycaemic control during the early period after diabetes diagnosis. The aim of this study was to analyse glycaemic control over a longer period, past the period of partial remission, after diagnosis in children followed before diagnosis in the Swedish Diabetes Prediction in Skåne (DiPiS) study compared with children of equal age not enrolled in pre-diabetes follow-up, receiving equivalent diabetes care. METHODS HbA1c from diagnosis and for the following 5 years, as well as differences in insulin dosage, BMI, pump use, partial remission according to insulin dose-adjusted HbA1c and baseline demographics were compared between children who were enrolled in follow-up and had received information on diabetes risk (n = 51) and children not enrolled in follow-up (n = 78). RESULTS The group followed before diagnosis had a higher proportion of first-degree relatives (FDRs) with diabetes (28% vs 5.6%; p = 0.001) and a higher proportion of participants with mothers born in Sweden (100% vs 89%; p = 0.02). No significant differences in total daily insulin dose, pump use or other baseline sociodemographic factors were detected between the groups. Median HbA1c at diagnosis and at 1, 2, 3, 4 and 5 years after diabetes diagnosis was significantly lower in children followed before diagnosis (all p < 0.05), and was not related to FDR status. CONCLUSIONS/INTERPRETATION Compared with controls not previously enrolled in follow-up, our study shows that children enrolled in longitudinal follow-up before the diagnosis of diabetes have better glycaemic control, measured by HbA1c, up to 5 years after diagnosis and during the initial period of partial remission. Improved glycaemic control in the initial years of living with type 1 diabetes could affect long-term outcome and complications and might also improve study enrolment in future longitudinal studies.
Collapse
Affiliation(s)
- Markus Lundgren
- Unit for Pediatric Endocrinology, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms gata 35, S-205 02, Malmö, Sweden.
- Department of Pediatrics, Kristianstad Central Hospital, Kristianstad, Sweden.
| | - Berglind Jonsdottir
- Unit for Pediatric Endocrinology, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms gata 35, S-205 02, Malmö, Sweden
- Pediatric Endocrinology and Gastroenterology, Skåne University hospital, Malmö, Sweden
| | - Helena Elding Larsson
- Unit for Pediatric Endocrinology, Department of Clinical Sciences Malmö, Lund University, Jan Waldenströms gata 35, S-205 02, Malmö, Sweden
- Pediatric Endocrinology and Gastroenterology, Skåne University hospital, Malmö, Sweden
| | | |
Collapse
|