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Aanstoot HJ, Varkevisser RDM, Mul D, Dekker P, Birnie E, Boesten LSM, Brugts MP, van Dijk PR, Duijvestijn PHLM, Dutta S, Fransman C, Gonera RK, Hoogenberg K, Kooy A, Latres E, Loves S, Nefs G, Sas T, Vollenbrock CE, Vosjan-Noeverman MJ, de Vries-Velraeds MMC, Veeze HJ, Wolffenbuttel BHR, van der Klauw MM. Cohort profile: the 'Biomarkers of heterogeneity in type 1 diabetes' study-a national prospective cohort study of clinical and metabolic phenotyping of individuals with long-standing type 1 diabetes in the Netherlands. BMJ Open 2024; 14:e082453. [PMID: 38904129 PMCID: PMC11191834 DOI: 10.1136/bmjopen-2023-082453] [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: 11/23/2023] [Accepted: 04/30/2024] [Indexed: 06/22/2024] Open
Abstract
PURPOSE The 'Biomarkers of heterogeneity in type 1 diabetes' study cohort was set up to identify genetic, physiological and psychosocial factors explaining the observed heterogeneity in disease progression and the development of complications in people with long-standing type 1 diabetes (T1D). PARTICIPANTS Data and samples were collected in two subsets. A prospective cohort of 611 participants aged ≥16 years with ≥5 years T1D duration from four Dutch Diabetes clinics between 2016 and 2021 (median age 32 years; median diabetes duration 12 years; 59% female; mean glycated haemoglobin (HbA1c) 61 mmol/mol (7.7%); 61% on insulin pump; 23% on continuous glucose monitoring (CGM)). Physical assessments were performed, blood and urine samples were collected, and participants completed questionnaires. A subgroup of participants underwent mixed-meal tolerance tests (MMTTs) at baseline (n=169) and at 1-year follow-up (n=104). Genetic data and linkage to medical and administrative records were also available. A second cross-sectional cohort included participants with ≥35 years of T1D duration (currently n=160; median age 64 years; median diabetes duration 45 years; 45% female; mean HbA1c 58 mmol/mol (7.4%); 51% on insulin pump; 83% on CGM), recruited from five centres and measurements, samples and 5-year retrospective data were collected. FINDINGS TO DATE Stimulated residual C-peptide was detectable in an additional 10% of individuals compared with fasting residual C-peptide secretion. MMTT measurements at 90 min and 120 min showed good concordance with the MMTT total area under the curve. An overall decrease of C-peptide at 1-year follow-up was observed. Fasting residual C-peptide secretion is associated with a decreased risk of impaired awareness of hypoglycaemia. FUTURE PLANS Research groups are invited to consider the use of these data and the sample collection. Future work will include additional hormones, beta-cell-directed autoimmunity, specific immune markers, microRNAs, metabolomics and gene expression data, combined with glucometrics, anthropometric and clinical data, and additional markers of residual beta-cell function. TRIAL REGISTRATION NUMBER NCT04977635.
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Affiliation(s)
- Henk-Jan Aanstoot
- Diabeter Netherlands, Center for Type 1 Diabetes Care and Research, Rotterdam, The Netherlands
| | | | - Dick Mul
- Diabeter Netherlands, Center for Type 1 Diabetes Care and Research, Rotterdam, The Netherlands
| | - Pim Dekker
- Diabeter Netherlands, Center for Type 1 Diabetes Care and Research, Rotterdam, The Netherlands
| | - Erwin Birnie
- Diabeter Netherlands, Center for Type 1 Diabetes Care and Research, Rotterdam, The Netherlands
- Department of Genetics, UMCG, Groningen, Groningen, The Netherlands
| | - Lianne S M Boesten
- Department of Clinical Chemistry, IJsselland Ziekenhuis, Capelle aan den IJssel, The Netherlands
| | - Michael P Brugts
- Department of Internal Medicine, Ikazia Hospital, Rotterdam, The Netherlands
| | | | | | | | - Christine Fransman
- Diabeter Netherlands, Center for Type 1 Diabetes Care and Research, Rotterdam, The Netherlands
| | - Rob K Gonera
- Department of Internal Medicine, Wilhelmina Hospital, Assen, The Netherlands
| | - Klaas Hoogenberg
- Department of Internal Medicine, Martini Ziekenhuis, Groningen, The Netherlands
| | - Adriaan Kooy
- Bethesda Diabetes Research Center & Treant, Treant Care Group, Hoogeveen, Drenthe, The Netherlands
- Department of Internal Medicine, UMCG, Groningen, Groningen, Netherlands
| | | | - Sandra Loves
- Department of Internal Medicine, Treant Care Group, Hoogeveen, Drenthe, Netherlands
| | - Giesje Nefs
- Diabeter Netherlands, Center for Type 1 Diabetes Care and Research, Rotterdam, The Netherlands
- Department of Medical Psychology, Radboudumc, Nijmegen, The Netherlands
- Department of Medical and Clinical Psychology, Center of Research on Psychological disordersand Somatic diseases (CoRPS), Tilburg, Netherlands
| | - Theo Sas
- Diabeter Netherlands, Center for Type 1 Diabetes Care and Research, Rotterdam, The Netherlands
- Department of Paediatrics, Division of Paediatric Endocrinology, Erasmus MC, Rotterdam, The Netherlands
| | | | | | | | - Henk J Veeze
- Diabeter Netherlands, Center for Type 1 Diabetes Care and Research, Rotterdam, The Netherlands
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Vollenbrock CE, Mul D, Dekker P, Birnie E, de Vries-Velraeds MMC, Boesten L, Groen J, Geelhoed-Duijvestijn PHLM, Aanstoot HJ, Wolffenbuttel BHR. Fasting and meal-stimulated serum C-peptide in long-standing type 1 diabetes mellitus. Diabet Med 2023; 40:e15012. [PMID: 36398450 PMCID: PMC10107202 DOI: 10.1111/dme.15012] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 11/09/2022] [Accepted: 11/16/2022] [Indexed: 11/19/2022]
Abstract
AIMS This study aims to evaluate the stability of C-peptide over time and to compare fasting C-peptide and C-peptide response after mixed-meal tolerance test (MMTT) at T90 or T120 with C-peptide area under the curve (AUC) in long-standing type 1 diabetes. METHODS We included 607 type 1 diabetes individuals with diabetes duration >5 years. C-peptide concentrations (ultrasensitive assay) were collected in the fasting state, and in a subpopulation after MMTT (T0, just prior to, T30-T60-T90-T120, 30-120 min after ingestion of mixed-meal) (n = 168). Fasting C-peptide concentrations (in n = 535) at Year 0 and Year 1 were compared. The clinical determinants associated with residual C-peptide secretion and the correspondence of C-peptide at MMTT T90 / T120 and total AUC were assessed. RESULTS A total of 153 participants (25%) had detectable fasting serum C-peptide (i.e ≥ 3.8 pmol/L). Fasting C-peptide was significantly lower at Year 1 (p < 0.001, effect size = -0.16). Participants with higher fasting C-peptide had a higher age at diagnosis and shorter disease duration and were less frequently insulin pump users. Overall, 109 of 168 (65%) participants had both non-detectable fasting and post-meal serum C-peptide concentrations. The T90 and T120 C-peptide values at MMTT were concordant with total AUC. In 17 (10%) individuals, C-peptide was only detectable at MMTT and not in the fasting state. CONCLUSIONS Stimulated C-peptide was detectable in an additional 10% of individuals compared with fasting in individuals with >5 years of diabetes duration. T90 and T120 MMTT measurements showed good concordance with the MMTT total AUC. Overall, there was a decrease of C-peptide at 1-year follow-up.
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Affiliation(s)
- Charlotte E Vollenbrock
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
| | - Dick Mul
- Diabeter, Center for Paediatric and Adolescent Diabetes Care and Research, Rotterdam, The Netherlands
| | - Pim Dekker
- Diabeter, Center for Paediatric and Adolescent Diabetes Care and Research, Rotterdam, The Netherlands
| | - Erwin Birnie
- Diabeter, Center for Paediatric and Adolescent Diabetes Care and Research, Rotterdam, The Netherlands
| | | | - Lianne Boesten
- Department of Clinical Chemistry, IJsselland Ziekenhuis, Capelle aan den IJssel, The Netherlands
| | - Joost Groen
- Department of Clinical Chemistry, IJsselland Ziekenhuis, Capelle aan den IJssel, The Netherlands
| | | | - Henk-Jan Aanstoot
- Diabeter, Center for Paediatric and Adolescent Diabetes Care and Research, Rotterdam, The Netherlands
| | - Bruce H R Wolffenbuttel
- Department of Endocrinology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands
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Landgraf R, Heinemann L, Schleicher E, Gerdes C, Petersmann A, Müller-Wieland D, Müller UA, Freckmann G, Thaler M, Ziegler AG, Kleinwechter H, Nauck M. Definition, Klassifikation, Diagnostik und Differenzialdiagnostik des Diabetes mellitus: Update 2022. DIABETOL STOFFWECHS 2022. [DOI: 10.1055/a-1789-5615] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
| | - Lutz Heinemann
- Science-Consulting in Diabetes GmbH, Kaarst, Deutschland
| | - Erwin Schleicher
- Institut für Klinische Chemie und Pathobiochemie – Zentrallabor, Universitätsklinikum Tübingen, Deutschland
- Deutsches Zentrum für Diabetesforschung (DZD) München-Neuherberg, Deutschland
| | - Christian Gerdes
- Klinik für Innere Medizin III, Universitätsklinikum Jena, Deutschland
| | - Astrid Petersmann
- Institut für Klinische Chemie und Laboratoriumsmedizin, Universitätsmedizin Oldenburg, Deutschland
| | | | - Ulrich A. Müller
- Praxis für Endokrinologie und Diabetologie, Dr. Kielstein Ambulante Medizinische Versorgung GmbH, Jena, Deutschland
| | - Guido Freckmann
- Institut für Diabetes-Technologie, Forschungs- und Entwicklungsgesellschaft mbH an der Universität Ulm, Deutschland
| | - Markus Thaler
- Klinikum rechts der Isar der TU München, Institut für Klinische Chemie und Pathobiochemie, München, Deutschland
| | | | | | - Matthias Nauck
- Institut für Klinische Chemie und Laboratoriumsmedizin, Universitätsmedizin Greifswald, Deutschland
- DZHK (Deutsches Zentrum für Herz-Kreislauf-Forschung), Partnerseite Greifswald, Universitätsmedizin, Greifswald, Deutschland
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Dekker P, de Vries M, Aanstoot HJ, Groen J. Which C-peptide assay do you use? Increasing need for describing C-peptide assay performance. Pediatr Endocrinol Diabetes Metab 2022; 28:101-103. [PMID: 35308000 PMCID: PMC10226358 DOI: 10.5114/pedm.2022.113741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Accepted: 02/07/2022] [Indexed: 06/07/2023]
Abstract
Many C-peptide assays are commercially available for research and routine use. However, not all assays yield consistent results, especially in the low concentration ranges. We searched the literature describing C-peptide measurements to assess which assays are mainly used in the diabetes research field and if they are specified. Percentages of publications on C-peptide measurements in type 1 diabetes (T1D), type 2 diabetes (T2D) and other forms of diabetes were 32%, 54% and 14%, respectively. In only 54% of the publications the used assay was specified. Information on detection limit, measurement range and variation was provided in 12%, 2% and 11% of publications, respectively. In 22% of all publications no C-peptides concentrations were mentioned. This may be a problem especially for T1D research, where measuring very low levels of C-peptide is becoming increasingly important and concordance between assays is low.
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Affiliation(s)
- Pim Dekker
- Center for Pediatric and Adult Diabetes Care and Research, Rotterdam, The Netherlands
| | - Martine de Vries
- Center for Pediatric and Adult Diabetes Care and Research, Rotterdam, The Netherlands
| | - Henk-Jan Aanstoot
- Center for Pediatric and Adult Diabetes Care and Research, Rotterdam, The Netherlands
| | - Joost Groen
- Department of Clinical Chemistry, IJsselland Ziekenhuis, Capelle aan den IJssel, The Netherlands
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