The INNODIA Type 1 Diabetes Natural History Study: a European cohort of newly diagnosed children, adolescents and adults
Aims/hypothesis Type 1 diabetes is an heterogenous condition. Characterising factors explaining differences in an individual’s clinical course and treatment response will have important clinical and research implications. Our aim was to explore type 1 diabetes heterogeneity, as assessed by clinical...
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Published in: | Diabetologia Vol. 67; no. 6; pp. 995 - 1008 |
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Main Authors: | , , , , , , , , , , , , , , , |
Format: | Journal Article |
Language: | English |
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01-06-2024
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Abstract | Aims/hypothesis
Type 1 diabetes is an heterogenous condition. Characterising factors explaining differences in an individual’s clinical course and treatment response will have important clinical and research implications. Our aim was to explore type 1 diabetes heterogeneity, as assessed by clinical characteristics, autoantibodies, beta cell function and glycaemic outcomes, during the first 12 months from diagnosis, and how it relates to age at diagnosis.
Methods
Data were collected from the large INNODIA cohort of individuals (aged 1.0–45.0 years) newly diagnosed with type 1 diabetes, followed 3 monthly, to assess clinical characteristics, C-peptide, HbA
1c
and diabetes-associated antibodies, and their changes, during the first 12 months from diagnosis, across three age groups: <10 years; 10–17 years; and ≥18 years.
Results
The study population included 649 individuals (57.3% male; age 12.1±8.3 years), 96.9% of whom were positive for one or more diabetes-related antibodies. Baseline (IQR) fasting C-peptide was 242.0 (139.0–382.0) pmol/l (AUC 749.3 [466.2–1106.1] pmol/l × min), with levels increasing with age (
p
<0.001). Over time, C-peptide remained lower in participants aged <10 years but it declined in all age groups. In parallel, glucose levels progressively increased. Lower baseline fasting C-peptide, BMI SD score and presence of diabetic ketoacidosis at diagnosis were associated with lower stimulated C-peptide over time. HbA
1c
decreased during the first 3 months (
p
<0.001), whereas insulin requirement increased from 3 months post diagnosis (
p
<0.001).
Conclusions/interpretation
In this large cohort with newly diagnosed type 1 diabetes, we identified age-related differences in clinical and biochemical variables. Of note, C-peptide was lower in younger children but there were no main age differences in its rate of decline.
Graphical Abstract |
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AbstractList | Type 1 diabetes is an heterogenous condition. Characterising factors explaining differences in an individual's clinical course and treatment response will have important clinical and research implications. Our aim was to explore type 1 diabetes heterogeneity, as assessed by clinical characteristics, autoantibodies, beta cell function and glycaemic outcomes, during the first 12 months from diagnosis, and how it relates to age at diagnosis.
Data were collected from the large INNODIA cohort of individuals (aged 1.0-45.0 years) newly diagnosed with type 1 diabetes, followed 3 monthly, to assess clinical characteristics, C-peptide, HbA
and diabetes-associated antibodies, and their changes, during the first 12 months from diagnosis, across three age groups: <10 years; 10-17 years; and ≥18 years.
The study population included 649 individuals (57.3% male; age 12.1±8.3 years), 96.9% of whom were positive for one or more diabetes-related antibodies. Baseline (IQR) fasting C-peptide was 242.0 (139.0-382.0) pmol/l (AUC 749.3 [466.2-1106.1] pmol/l × min), with levels increasing with age (p<0.001). Over time, C-peptide remained lower in participants aged <10 years but it declined in all age groups. In parallel, glucose levels progressively increased. Lower baseline fasting C-peptide, BMI SD score and presence of diabetic ketoacidosis at diagnosis were associated with lower stimulated C-peptide over time. HbA
decreased during the first 3 months (p<0.001), whereas insulin requirement increased from 3 months post diagnosis (p<0.001).
In this large cohort with newly diagnosed type 1 diabetes, we identified age-related differences in clinical and biochemical variables. Of note, C-peptide was lower in younger children but there were no main age differences in its rate of decline. Aims/hypothesisType 1 diabetes is an heterogenous condition. Characterising factors explaining differences in an individual’s clinical course and treatment response will have important clinical and research implications. Our aim was to explore type 1 diabetes heterogeneity, as assessed by clinical characteristics, autoantibodies, beta cell function and glycaemic outcomes, during the first 12 months from diagnosis, and how it relates to age at diagnosis.MethodsData were collected from the large INNODIA cohort of individuals (aged 1.0–45.0 years) newly diagnosed with type 1 diabetes, followed 3 monthly, to assess clinical characteristics, C-peptide, HbA1c and diabetes-associated antibodies, and their changes, during the first 12 months from diagnosis, across three age groups: <10 years; 10–17 years; and ≥18 years.ResultsThe study population included 649 individuals (57.3% male; age 12.1±8.3 years), 96.9% of whom were positive for one or more diabetes-related antibodies. Baseline (IQR) fasting C-peptide was 242.0 (139.0–382.0) pmol/l (AUC 749.3 [466.2–1106.1] pmol/l × min), with levels increasing with age (p<0.001). Over time, C-peptide remained lower in participants aged <10 years but it declined in all age groups. In parallel, glucose levels progressively increased. Lower baseline fasting C-peptide, BMI SD score and presence of diabetic ketoacidosis at diagnosis were associated with lower stimulated C-peptide over time. HbA1c decreased during the first 3 months (p<0.001), whereas insulin requirement increased from 3 months post diagnosis (p<0.001).Conclusions/interpretationIn this large cohort with newly diagnosed type 1 diabetes, we identified age-related differences in clinical and biochemical variables. Of note, C-peptide was lower in younger children but there were no main age differences in its rate of decline. Aims/hypothesis Type 1 diabetes is an heterogenous condition. Characterising factors explaining differences in an individual’s clinical course and treatment response will have important clinical and research implications. Our aim was to explore type 1 diabetes heterogeneity, as assessed by clinical characteristics, autoantibodies, beta cell function and glycaemic outcomes, during the first 12 months from diagnosis, and how it relates to age at diagnosis. Methods Data were collected from the large INNODIA cohort of individuals (aged 1.0–45.0 years) newly diagnosed with type 1 diabetes, followed 3 monthly, to assess clinical characteristics, C-peptide, HbA 1c and diabetes-associated antibodies, and their changes, during the first 12 months from diagnosis, across three age groups: <10 years; 10–17 years; and ≥18 years. Results The study population included 649 individuals (57.3% male; age 12.1±8.3 years), 96.9% of whom were positive for one or more diabetes-related antibodies. Baseline (IQR) fasting C-peptide was 242.0 (139.0–382.0) pmol/l (AUC 749.3 [466.2–1106.1] pmol/l × min), with levels increasing with age ( p <0.001). Over time, C-peptide remained lower in participants aged <10 years but it declined in all age groups. In parallel, glucose levels progressively increased. Lower baseline fasting C-peptide, BMI SD score and presence of diabetic ketoacidosis at diagnosis were associated with lower stimulated C-peptide over time. HbA 1c decreased during the first 3 months ( p <0.001), whereas insulin requirement increased from 3 months post diagnosis ( p <0.001). Conclusions/interpretation In this large cohort with newly diagnosed type 1 diabetes, we identified age-related differences in clinical and biochemical variables. Of note, C-peptide was lower in younger children but there were no main age differences in its rate of decline. Graphical Abstract |
Author | Johannesen, Jesper Todd, John A. Hendriks, A. Emile J. Delfin, Carl Overbergh, Lut Evans, Mark L. Knip, Mikael Pociot, Flemming Danne, Thomas Marcovecchio, M. Loredana Battelino, Tadej Wicker, Linda S. Kaur, Simranjeet Mathieu, Chantal Van der Schueren, Bart Peakman, Mark |
Author_xml | – sequence: 1 givenname: M. Loredana orcidid: 0000-0002-4415-316X surname: Marcovecchio fullname: Marcovecchio, M. Loredana email: mlm45@medschl.cam.ac.uk organization: Department of Paediatrics, University of Cambridge, Department of Paediatric Diabetes and Endocrinology, Cambridge University Hospitals NHS Foundation Trust – sequence: 2 givenname: A. Emile J. orcidid: 0000-0002-0795-1832 surname: Hendriks fullname: Hendriks, A. Emile J. organization: Department of Paediatrics, University of Cambridge, Department of Paediatric Diabetes and Endocrinology, Cambridge University Hospitals NHS Foundation Trust – sequence: 3 givenname: Carl orcidid: 0000-0003-4827-7650 surname: Delfin fullname: Delfin, Carl organization: Department of Pharmacometrics, Novo Nordisk A/S – sequence: 4 givenname: Tadej surname: Battelino fullname: Battelino, Tadej organization: Department of Endocrinology, Diabetes and Metabolism, University Children’s Hospital, University Medical Centre Ljubljana, Faculty of Medicine, University of Ljubljana – sequence: 5 givenname: Thomas orcidid: 0000-0002-8424-3944 surname: Danne fullname: Danne, Thomas organization: Centre for Paediatric Endocrinology, Diabetology, and Clinical Research, Auf Der Bult Children’s Hospital – sequence: 6 givenname: Mark L. orcidid: 0000-0001-8122-8987 surname: Evans fullname: Evans, Mark L. organization: Wellcome MRC Institute of Metabolic Science, University of Cambridge, Department of Medicine, University of Cambridge – sequence: 7 givenname: Jesper orcidid: 0000-0003-2772-2567 surname: Johannesen fullname: Johannesen, Jesper organization: Translational Type 1 Diabetes Research, Clinical Research, Steno Diabetes Center Copenhagen, Department of Paediatrics, Copenhagen University Hospital, Herlev, Denmark; Institute of Health and Medical Sciences, University of Copenhagen – sequence: 8 givenname: Simranjeet surname: Kaur fullname: Kaur, Simranjeet organization: Translational Type 1 Diabetes Research, Clinical Research, Steno Diabetes Center Copenhagen, Department of Paediatrics, Copenhagen University Hospital, Herlev, Denmark; Institute of Health and Medical Sciences, University of Copenhagen – sequence: 9 givenname: Mikael orcidid: 0000-0003-0474-0033 surname: Knip fullname: Knip, Mikael organization: Research Program for Clinical and Molecular Metabolism, Faculty of Medicine, University of Helsinki, Pediatric Research Center, New Children’s Hospital, Helsinki University Hospital – sequence: 10 givenname: Lut orcidid: 0000-0001-7126-356X surname: Overbergh fullname: Overbergh, Lut organization: Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven – sequence: 11 givenname: Flemming surname: Pociot fullname: Pociot, Flemming organization: Translational Type 1 Diabetes Research, Clinical Research, Steno Diabetes Center Copenhagen, Department of Paediatrics, Copenhagen University Hospital, Herlev, Denmark; Institute of Health and Medical Sciences, University of Copenhagen – sequence: 12 givenname: John A. orcidid: 0000-0003-2740-8148 surname: Todd fullname: Todd, John A. organization: Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford – sequence: 13 givenname: Bart surname: Van der Schueren fullname: Van der Schueren, Bart organization: Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven – sequence: 14 givenname: Linda S. orcidid: 0000-0001-7771-0324 surname: Wicker fullname: Wicker, Linda S. organization: Centre for Human Genetics, Nuffield Department of Medicine, University of Oxford – sequence: 15 givenname: Mark surname: Peakman fullname: Peakman, Mark organization: Immunology & Inflammation Research Therapeutic Area – sequence: 16 givenname: Chantal orcidid: 0000-0002-4055-5233 surname: Mathieu fullname: Mathieu, Chantal organization: Clinical and Experimental Endocrinology, Department of Chronic Diseases and Metabolism, KU Leuven |
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CitedBy_id | crossref_primary_10_1007_s00125_024_06192_7 |
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CorporateAuthor | INNODIA consortium on behalf of the INNODIA consortium |
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Keywords | Prevention Treatment Type 1 diabetes C-peptide Beta cell function Age Subgroups |
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References | Birkebaek, Kamrath, Grimsmann (CR22) 2022; 10 Jia, Han, Onengut-Gumuscu (CR14) 2013; 8 Knip, Parviainen, Turtinen (CR24) 2023; 11 Greenbaum, Beam, Boulware (CR17) 2012; 61 Carr, Inshaw, Flaxman (CR31) 2022; 71 Inshaw, Cutler, Crouch, Wicker, Todd (CR5) 2020; 43 Sims, Besser, Dayan (CR28) 2022; 71 Samuelsson, Lindblad, Carlsson (CR30) 2013; 29 Ludvigsson, Carlsson, Deli (CR34) 2013; 100 Battaglia, Ahmed, Anderson (CR3) 2020; 43 Redondo, Morgan (CR4) 2023; 19 Hao, Gitelman, DiMeglio, Boulware, Greenbaum (CR19) 2016; 39 D’Souza, Empringham, Pechlivanoglou, Uleryk, Cohen, Shulman (CR23) 2023; 6 Mortensen, Hougaard, Swift (CR16) 2009; 32 Dunger, Ahmed, Ong (CR42) 2002; 58 den Hollander, Roep (CR1) 2022; 9 Greenbaum, Anderson, Dolan (CR36) 2009; 32 Gitelman, Evans-Molina, Guolo, Mari, Ferrannini (CR18) 2023; 72 Knip, Korhonen, Kulmala (CR12) 2010; 33 Quattrin, Mastrandrea, Walker (CR2) 2023; 401 Parviainen, Härkönen, Ilonen, But, Knip (CR6) 2022; 45 Roep, Wheeler, Peakman (CR9) 2019; 7 Dunger, Bruggraber, Mander (CR10) 2022; 23 Misra (CR25) 2022; 10 Davis, DuBose, Haller (CR33) 2015; 38 Leete, Oram, McDonald (CR8) 2020; 63 ElSayed, Aleppo, Aroda (CR11) 2022; 46 Hermann, Knip, Veijola (CR45) 2003; 46 Cole (CR15) 1990; 44 Buckingham, Beck, Ruedy (CR35) 2013; 36 Sørensen, Johannesen, Pociot (CR39) 2013; 36 Rugg-Gunn, Dixon, Jorgensen (CR26) 2022; 176 Williams, Fareed, Mortimer (CR43) 2022; 210 Shields, McDonald, Oram (CR32) 2018; 41 Arif, Leete, Nguyen (CR7) 2014; 63 Harsunen, Haukka, Harjutsalo (CR40) 2023; 11 Mortensen, Swift, Holl (CR29) 2010; 11 de Bock, Codner, Craig (CR41) 2022; 23 Dabelea, Mayer-Davis, Andrews (CR37) 2012; 55 Misra, Barron, Vamos (CR21) 2021; 9 Lachin, McGee, Palmer (CR38) 2014; 63 Cherubini, Marino, Carle, Zagaroli, Bowers, Gesuita (CR27) 2021; 175 Gale, Gillespie (CR20) 2001; 44 Long, George, Williams (CR44) 2021; 38 Vehik, Hamman, Lezotte (CR46) 2008; 31 Barker, Triolo, Aly (CR13) 2008; 57 BO Roep (6124_CR9) 2019; 7 M Harsunen (6124_CR40) 2023; 11 M Battaglia (6124_CR3) 2020; 43 NA ElSayed (6124_CR11) 2022; 46 T Quattrin (6124_CR2) 2023; 401 JRJ Inshaw (6124_CR5) 2020; 43 CEM Rugg-Gunn (6124_CR26) 2022; 176 HB Mortensen (6124_CR29) 2010; 11 X Jia (6124_CR14) 2013; 8 K Vehik (6124_CR46) 2008; 31 NHM den Hollander (6124_CR1) 2022; 9 M de Bock (6124_CR41) 2022; 23 S Misra (6124_CR25) 2022; 10 AE Long (6124_CR44) 2021; 38 SE Gitelman (6124_CR18) 2023; 72 S Misra (6124_CR21) 2021; 9 B Buckingham (6124_CR35) 2013; 36 CL Williams (6124_CR43) 2022; 210 V Cherubini (6124_CR27) 2021; 175 M Knip (6124_CR12) 2010; 33 W Hao (6124_CR19) 2016; 39 D D’Souza (6124_CR23) 2023; 6 S Arif (6124_CR7) 2014; 63 TJ Cole (6124_CR15) 1990; 44 MJ Redondo (6124_CR4) 2023; 19 J Ludvigsson (6124_CR34) 2013; 100 D Dunger (6124_CR42) 2002; 58 P Leete (6124_CR8) 2020; 63 U Samuelsson (6124_CR30) 2013; 29 NH Birkebaek (6124_CR22) 2022; 10 D Dabelea (6124_CR37) 2012; 55 EA Gale (6124_CR20) 2001; 44 EK Sims (6124_CR28) 2022; 71 CJ Greenbaum (6124_CR36) 2009; 32 R Hermann (6124_CR45) 2003; 46 JM Barker (6124_CR13) 2008; 57 CJ Greenbaum (6124_CR17) 2012; 61 HB Mortensen (6124_CR16) 2009; 32 DB Dunger (6124_CR10) 2022; 23 BM Shields (6124_CR32) 2018; 41 JM Lachin (6124_CR38) 2014; 63 A Parviainen (6124_CR6) 2022; 45 M Knip (6124_CR24) 2023; 11 AK Davis (6124_CR33) 2015; 38 JS Sørensen (6124_CR39) 2013; 36 ALJ Carr (6124_CR31) 2022; 71 |
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publication-title: JAMA Pediatr doi: 10.1001/jamapediatrics.2022.3586 contributor: fullname: CEM Rugg-Gunn – volume: 55 start-page: 3359 issue: 12 year: 2012 ident: 6124_CR37 publication-title: Diabetologia doi: 10.1007/s00125-012-2719-6 contributor: fullname: D Dabelea – volume: 23 start-page: 1270 issue: 8 year: 2022 ident: 6124_CR41 publication-title: Pediatr Diabetes doi: 10.1111/pedi.13455 contributor: fullname: M de Bock – volume: 10 start-page: 786 issue: 11 year: 2022 ident: 6124_CR22 publication-title: Lancet Diabetes Endocrinol doi: 10.1016/S2213-8587(22)00246-7 contributor: fullname: NH Birkebaek – volume: 33 start-page: 1206 issue: 6 year: 2010 ident: 6124_CR12 publication-title: Diabetes Care doi: 10.2337/dc09-1040 contributor: fullname: M Knip – volume: 46 start-page: 420 issue: 3 year: 2003 ident: 6124_CR45 publication-title: Diabetologia doi: 10.1007/s00125-003-1045-4 contributor: fullname: R Hermann – volume: 63 start-page: 1258 issue: 6 year: 2020 ident: 6124_CR8 publication-title: Diabetologia doi: 10.1007/s00125-020-05115-6 contributor: fullname: P Leete – volume: 23 start-page: 414 issue: 1 year: 2022 ident: 6124_CR10 publication-title: Trials doi: 10.1186/s13063-022-06259-z contributor: fullname: DB Dunger – volume: 72 start-page: 1289 issue: 9 year: 2023 ident: 6124_CR18 publication-title: Diabetes doi: 10.2337/db23-0196 contributor: fullname: SE Gitelman – volume: 36 start-page: 4030 issue: 12 year: 2013 ident: 6124_CR35 publication-title: Diabetes Care doi: 10.2337/dc13-1074 contributor: fullname: B Buckingham – volume: 36 start-page: 3454 issue: 11 year: 2013 ident: 6124_CR39 publication-title: Diabetes Care doi: 10.2337/dc13-0418 contributor: fullname: JS Sørensen |
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Type 1 diabetes is an heterogenous condition. Characterising factors explaining differences in an individual’s clinical course and treatment... Type 1 diabetes is an heterogenous condition. Characterising factors explaining differences in an individual's clinical course and treatment response will have... Aims/hypothesisType 1 diabetes is an heterogenous condition. Characterising factors explaining differences in an individual’s clinical course and treatment... AIMS/HYPOTHESISType 1 diabetes is an heterogenous condition. Characterising factors explaining differences in an individual's clinical course and treatment... |
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SubjectTerms | Adolescent Adult Age Age differences Age groups Autoantibodies Autoantibodies - blood Beta cells Blood Glucose - metabolism C-Peptide - blood Child Child, Preschool Cohort Studies Diabetes Diabetes mellitus (insulin dependent) Diabetes Mellitus, Type 1 - blood Diabetes Mellitus, Type 1 - diagnosis Diabetes Mellitus, Type 1 - epidemiology Diagnosis Europe - epidemiology Fasting Female Glycated Hemoglobin - metabolism Human Physiology Humans Infant Insulin-Secreting Cells - metabolism Internal Medicine Ketoacidosis Male Medicine Medicine & Public Health Metabolic Diseases Middle Aged Peptides Population studies Teenagers Young Adult |
Title | The INNODIA Type 1 Diabetes Natural History Study: a European cohort of newly diagnosed children, adolescents and adults |
URI | https://link.springer.com/article/10.1007/s00125-024-06124-5 https://www.ncbi.nlm.nih.gov/pubmed/38517484 https://www.proquest.com/docview/3048222510 https://search.proquest.com/docview/2974007294 https://pubmed.ncbi.nlm.nih.gov/PMC11058619 |
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