Literature DB >> 24118704

Age-dependent decline of β-cell function in type 1 diabetes after diagnosis: a multi-centre longitudinal study.

A Barker1, A Lauria, N Schloot, N Hosszufalusi, J Ludvigsson, C Mathieu, D Mauricio, M Nordwall, B Van der Schueren, T Mandrup-Poulsen, W A Scherbaum, I Weets, F K Gorus, N Wareham, R D Leslie, P Pozzilli.   

Abstract

AIMS: C-peptide secretion is currently the only available clinical biomarker to measure residual β-cell function in type 1 diabetes. However, the natural history of C-peptide decline after diagnosis can vary considerably dependent upon several variables. We investigated the shape of C-peptide decline over time from type 1 diabetes onset in relation to age at diagnosis, haemoglobin A1c (HbA1c) levels and insulin dose.
METHODS: We analysed data from 3929 type 1 diabetes patients recruited from seven European centres representing all age groups at disease onset (childhood, adolescence and adulthood). The influence of the age at onset on β-cell function was investigated in a longitudinal analysis at diagnosis and up to 5-years follow-up.
RESULTS: Fasting C-peptide (FCP) data at diagnosis were available in 3668 patients stratified according to age at diagnosis in four groups (<5 years, n = 344; >5 years < 10 years, n = 668; >10 years < 18 years, n = 991; >18 years, n = 1655). FCP levels were positively correlated with age (p < 0.001); the subsequent decline in FCP over time was log-linear with a greater decline rate in younger age groups (p < 0.0001).
CONCLUSIONS: This study reveals a positive correlation between age at diagnosis of type 1 diabetes and FCP with a more rapid decline of β-cell function in the very young patients. These data can inform the design of clinical trials using C-peptide values as an end-point for the effect of a given treatment.
© 2013 John Wiley & Sons Ltd.

Entities:  

Keywords:  clinical trial; type 1 diabetes; β cell

Mesh:

Substances:

Year:  2013        PMID: 24118704     DOI: 10.1111/dom.12216

Source DB:  PubMed          Journal:  Diabetes Obes Metab        ISSN: 1462-8902            Impact factor:   6.577


  35 in total

1.  Comparison of Metabolic Outcomes in Children Diagnosed with Type 1 Diabetes Through Research Screening (Diabetes Autoimmunity Study in the Young [DAISY]) Versus in the Community.

Authors:  Christine L Chan; Iman Taki; Fran Dong; Michelle Hoffman; Jill M Norris; Georgeanna Klingensmith; Marian J Rewers; Andrea K Steck
Journal:  Diabetes Technol Ther       Date:  2015-06-03       Impact factor: 6.118

2.  Low levels of C-peptide have clinical significance for established Type 1 diabetes.

Authors:  W M Kuhtreiber; S L L Washer; E Hsu; M Zhao; P Reinhold; D Burger; H Zheng; D L Faustman
Journal:  Diabet Med       Date:  2015-08-16       Impact factor: 4.359

Review 3.  Combination immunotherapies for type 1 diabetes mellitus.

Authors:  Paolo Pozzilli; Ernesto Maddaloni; Raffaella Buzzetti
Journal:  Nat Rev Endocrinol       Date:  2015-02-17       Impact factor: 43.330

4.  Capturing residual beta cell function in type 1 diabetes.

Authors:  Flemming Pociot
Journal:  Diabetologia       Date:  2018-11-03       Impact factor: 10.122

5.  Heterogeneity in recent-onset type 1 diabetes - a clinical trial perspective.

Authors:  Jennifer B Bollyky; Ping Xu; Atul J Butte; Darrell M Wilson; Craig A Beam; Carla J Greenbaum
Journal:  Diabetes Metab Res Rev       Date:  2015-04-23       Impact factor: 4.876

6.  Residual β-Cell Function Predicts Clinical Response After Autologous Hematopoietic Stem Cell Transplantation.

Authors:  Hang Xiang; Chao Yang; Tianyuan Xiang; Zheng Wang; Xin Ge; Fan Li; Yuehan Su; Haixu Chen; Xianyong Huang; Qiang Zeng
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7.  Cell type-specific immune phenotypes predict loss of insulin secretion in new-onset type 1 diabetes.

Authors:  Matthew J Dufort; Carla J Greenbaum; Cate Speake; Peter S Linsley
Journal:  JCI Insight       Date:  2019-02-21

Review 8.  Adult-onset autoimmune diabetes: current knowledge and implications for management.

Authors:  Raffaella Buzzetti; Simona Zampetti; Ernesto Maddaloni
Journal:  Nat Rev Endocrinol       Date:  2017-09-08       Impact factor: 43.330

Review 9.  Beta cell function in type 1 diabetes determined from clinical and fasting biochemical variables.

Authors:  John M Wentworth; Naiara G Bediaga; Lynne C Giles; Mario Ehlers; Stephen E Gitelman; Susan Geyer; Carmella Evans-Molina; Leonard C Harrison
Journal:  Diabetologia       Date:  2018-08-30       Impact factor: 10.122

10.  A composite immune signature parallels disease progression across T1D subjects.

Authors:  Cate Speake; Samuel O Skinner; Dror Berel; Elizabeth Whalen; Matthew J Dufort; William Chad Young; Jared M Odegard; Anne M Pesenacker; Frans K Gorus; Eddie A James; Megan K Levings; Peter S Linsley; Eitan M Akirav; Alberto Pugliese; Martin J Hessner; Gerald T Nepom; Raphael Gottardo; S Alice Long
Journal:  JCI Insight       Date:  2019-12-05
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