Literature DB >> 25519449

Most people with long-duration type 1 diabetes in a large population-based study are insulin microsecretors.

Richard A Oram1, Timothy J McDonald2, Beverley M Shields1, Michelle M Hudson1, Maggie H Shepherd1, Suzanne Hammersley1, Ewan R Pearson3, Andrew T Hattersley4.   

Abstract

OBJECTIVE: Small studies using ultrasensitive C-peptide assays suggest endogenous insulin secretion is frequently detectable in patients with long-standing type 1 diabetes (T1D), but these studies do not use representative samples. We aimed to use the stimulated urine C-peptide-to-creatinine ratio (UCPCR) to assess C-peptide levels in a large cross-sectional, population-based study of patients with T1D. RESEARCH DESIGN AND METHODS: We recruited 924 patients from primary and secondary care in two U.K. centers who had a clinical diagnosis of T1D, were under 30 years of age when they received a diagnosis, and had a diabetes duration of >5 years. The median age at diagnosis was 11 years (interquartile range 6-17 years), and the duration of diabetes was 19 years (11-27 years). All provided a home postmeal UCPCR, which was measured using a Roche electrochemiluminescence assay.
RESULTS: Eighty percent of patients (740 of 924 patients) had detectable endogenous C-peptide levels (UCPCR >0.001 nmol/mmol). Most patients (52%, 483 of 924 patients) had historically very low undetectable levels (UCPCR 0.0013-0.03 nmol/mmol); 8% of patients (70 of 924 patients) had a UCPCR ≥0.2 nmol/mmol, equivalent to serum levels associated with reduced complications and hypoglycemia. Absolute UCPCR levels fell with duration of disease. Age at diagnosis and duration of disease were independent predictors of C-peptide level in multivariate modeling.
CONCLUSIONS: This population-based study shows that the majority of long-duration T1D patients have detectable urine C-peptide levels. While the majority of patients are insulin microsecretors, some maintain clinically relevant endogenous insulin secretion for many years after the diagnosis of diabetes. Understanding this may lead to a better understanding of pathogenesis in T1D and open new possibilities for treatment.
© 2015 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.

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Year:  2014        PMID: 25519449      PMCID: PMC5646646          DOI: 10.2337/dc14-0871

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  21 in total

1.  Validation of a single-sample urinary C-peptide creatinine ratio as a reproducible alternative to serum C-peptide in patients with Type 2 diabetes.

Authors:  P Bowman; T J McDonald; B M Shields; B A Knight; A T Hattersley
Journal:  Diabet Med       Date:  2012-01       Impact factor: 4.359

2.  Clinical evolution of beta cell function in youth with diabetes: the SEARCH for Diabetes in Youth study.

Authors:  D Dabelea; E J Mayer-Davis; J S Andrews; L M Dolan; C Pihoker; R F Hamman; C Greenbaum; S Marcovina; W Fujimoto; B Linder; G Imperatore; R D'Agostino
Journal:  Diabetologia       Date:  2012-09-20       Impact factor: 10.122

3.  Urine C-peptide creatinine ratio is an alternative to stimulated serum C-peptide measurement in late-onset, insulin-treated diabetes.

Authors:  A G Jones; R E J Besser; T J McDonald; B M Shields; S V Hope; P Bowman; R A Oram; B A Knight; A T Hattersley
Journal:  Diabet Med       Date:  2011-09       Impact factor: 4.359

4.  Beta-cell function and the development of diabetes-related complications in the diabetes control and complications trial.

Authors:  Michael W Steffes; Shalamar Sibley; Melissa Jackson; William Thomas
Journal:  Diabetes Care       Date:  2003-03       Impact factor: 19.112

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

Authors:  A Barker; 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
Journal:  Diabetes Obes Metab       Date:  2013-10-29       Impact factor: 6.577

Review 6.  The clinical utility of C-peptide measurement in the care of patients with diabetes.

Authors:  A G Jones; A T Hattersley
Journal:  Diabet Med       Date:  2013-07       Impact factor: 4.359

7.  Urine C-peptide creatinine ratio can be used to assess insulin resistance and insulin production in people without diabetes: an observational study.

Authors:  Richard A Oram; Andrew Rawlingson; Beverley M Shields; Coralie Bingham; Rachel E J Besser; Tim J McDonald; Bridget A Knight; Andrew T Hattersley
Journal:  BMJ Open       Date:  2013-12-18       Impact factor: 2.692

8.  Lessons from the mixed-meal tolerance test: use of 90-minute and fasting C-peptide in pediatric diabetes.

Authors:  Rachel E J Besser; Beverley M Shields; Rosaura Casas; Andrew T Hattersley; Johnny Ludvigsson
Journal:  Diabetes Care       Date:  2012-10-30       Impact factor: 19.112

9.  Improved genetic testing for monogenic diabetes using targeted next-generation sequencing.

Authors:  S Ellard; H Lango Allen; E De Franco; S E Flanagan; G Hysenaj; K Colclough; J A L Houghton; M Shepherd; A T Hattersley; M N Weedon; R Caswell
Journal:  Diabetologia       Date:  2013-06-15       Impact factor: 10.122

10.  Impact of C-peptide preservation on metabolic and clinical outcomes in the Diabetes Control and Complications Trial.

Authors:  John M Lachin; Paula McGee; Jerry P Palmer
Journal:  Diabetes       Date:  2013-10-02       Impact factor: 9.461

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  43 in total

Review 1.  Organ donor specimens: What can they tell us about type 1 diabetes?

Authors:  Martha Campbell-Thompson
Journal:  Pediatr Diabetes       Date:  2015-05-22       Impact factor: 4.866

2.  Abnormalities in proinsulin processing in islets from individuals with longstanding T1D.

Authors:  Emily K Sims; Farooq Syed; Julius Nyalwidhe; Henry T Bahnson; Leena Haataja; Cate Speake; Margaret A Morris; Appakalai N Balamurugan; Raghavendra G Mirmira; Jerry Nadler; Teresa L Mastracci; Peter Arvan; Carla J Greenbaum; Carmella Evans-Molina
Journal:  Transl Res       Date:  2019-08-09       Impact factor: 7.012

3.  Residual β cell function and monogenic variants in long-duration type 1 diabetes patients.

Authors:  Marc Gregory Yu; Hillary A Keenan; Hetal S Shah; Scott G Frodsham; David Pober; Zhiheng He; Emily A Wolfson; Stephanie D'Eon; Liane J Tinsley; Susan Bonner-Weir; Marcus G Pezzolesi; George Liang King
Journal:  J Clin Invest       Date:  2019-07-02       Impact factor: 14.808

Review 4.  Paracrine signaling in islet function and survival.

Authors:  Sean M Hartig; Aaron R Cox
Journal:  J Mol Med (Berl)       Date:  2020-02-17       Impact factor: 4.599

5.  Persistent elevations in circulating INS DNA among subjects with longstanding type 1 diabetes.

Authors:  Anna Neyman; Jennifer Nelson; Sarah A Tersey; Raghavendra G Mirmira; Carmella Evans-Molina; Emily K Sims
Journal:  Diabetes Obes Metab       Date:  2018-08-24       Impact factor: 6.577

Review 6.  Pancreatic β-cells in type 1 and type 2 diabetes mellitus: different pathways to failure.

Authors:  Décio L Eizirik; Lorenzo Pasquali; Miriam Cnop
Journal:  Nat Rev Endocrinol       Date:  2020-05-12       Impact factor: 43.330

Review 7.  Pancreas Pathology During the Natural History of Type 1 Diabetes.

Authors:  Teresa Rodriguez-Calvo; Sarah J Richardson; Alberto Pugliese
Journal:  Curr Diab Rep       Date:  2018-10-06       Impact factor: 4.810

8.  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

9.  C-Peptide Decline in Type 1 Diabetes Has Two Phases: An Initial Exponential Fall and a Subsequent Stable Phase.

Authors:  Beverley M Shields; Timothy J McDonald; Richard Oram; Anita Hill; Michelle Hudson; Pia Leete; Ewan R Pearson; Sarah J Richardson; Noel G Morgan; Andrew T Hattersley
Journal:  Diabetes Care       Date:  2018-06-07       Impact factor: 19.112

10.  Type 1 Diabetes Genetic Risk Score: A Novel Tool to Discriminate Monogenic and Type 1 Diabetes.

Authors:  M N Weedon; A T Hattersley; K A Patel; R A Oram; S E Flanagan; E De Franco; K Colclough; M Shepherd; S Ellard
Journal:  Diabetes       Date:  2016-04-05       Impact factor: 9.461

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