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Fuhri Snethlage CM, McDonald TJ, Oram RD, de Groen P, Rampanelli E, Schimmel AW, Holleman F, Siegelaar S, Hoekstra J, Brouwer CB, Knop FK, Verchere CB, van Raalte DH, Roep BO, Nieuwdorp M, Hanssen NM. Residual β-Cell Function Is Associated With Longer Time in Range in Individuals With Type 1 Diabetes. Diabetes Care 2024; 47:1114-1121. [PMID: 37535870 PMCID: PMC11208747 DOI: 10.2337/dc23-0776] [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: 04/30/2023] [Accepted: 07/13/2023] [Indexed: 08/05/2023]
Abstract
OBJECTIVE Little is known about the influence of residual islet function on glycemic control in type 1 diabetes (T1D). We investigated the associations between residual β-cell function and metrics of continuous glucose monitoring (CGM) in individuals with T1D. RESEARCH DESIGN AND METHODS In this cross-sectional cohort comprising 489 individuals (64% female, age 41.0 ± 14.0 years), T1D duration was 15.0 (interquartile range [IQR] 6.0-29.0) years. Individuals had a time in range (TIR) of 66% (IQR 52-80%) and a urinary C-peptide-to-creatinine ratio (UCPCR) of 0.01 (IQR 0.00-0.41) nmol/mmol. To assess β-cell function, we measured UCPCR (detectable >0.01 nmol/mmol), and to assess α-cell function, fasting plasma glucagon/glucose ratios were measured. CGM was used to record TIR (3.9-10 mmol/L), time below range (TBR) (<3.9 mmol/L), time above range (TAR) (>10 mmol/L), and glucose coefficient of variance (CV). For CGM, 74.7% used FreeStyle Libre 2, 13.8% Medtronic Guardian, and 11.5% Dexcom G6 as their device. RESULTS The percentage of patients with T1D who had a detectable UCPCR was 49.4%. A higher UCPCR correlated with higher TIR (r = 0.330, P < 0.05), lower TBR (r = -0.237, P < 0.05), lower TAR (r = -0.302, P < 0.05), and lower glucose CV (r = -0.356, P < 0.05). A higher UCPCR correlated negatively with HbA1c levels (r = -0.183, P < 0.05) and total daily insulin dose (r = -0.183, P < 0.05). Glucagon/glucose ratios correlated with longer TIR (r = 0.234, P < 0.05). CONCLUSIONS Significantly longer TIR, shorter TBR and TAR, and lower CV were observed in individuals with greater UCPCR-assessed β-cell function. Therefore, better CGM-derived metrics in individuals with preserved β-cell function may be a contributor to a lower risk of developing long-term complications.
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Affiliation(s)
- Coco M. Fuhri Snethlage
- Department of Endocrinology and Metabolism, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Timothy J. McDonald
- Peninsula College of Medicine and Dentistry, Peninsula National Institute for Health and Care Research Clinical Research Facility, Exeter, Devon, U.K
| | - Richard D. Oram
- Peninsula College of Medicine and Dentistry, Peninsula National Institute for Health and Care Research Clinical Research Facility, Exeter, Devon, U.K
| | - Pleun de Groen
- Department of Endocrinology and Metabolism, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Elena Rampanelli
- Department of Endocrinology and Metabolism, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Alinda W.M. Schimmel
- Department of Endocrinology and Metabolism, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Frits Holleman
- Department of Endocrinology and Metabolism, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Sarah Siegelaar
- Department of Endocrinology and Metabolism, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Joost Hoekstra
- Department of Endocrinology and Metabolism, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | | | - Filip K. Knop
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, Hellerup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
- Steno Diabetes Center Copenhagen, Herlev, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - C. Bruce Verchere
- BC Children’s Hospital Research Institute, Vancouver, British Columbia, Canada
| | - Daniël H. van Raalte
- Department of Endocrinology and Metabolism, Amsterdam UMC, Vrije Universiteit, Amsterdam, the Netherlands
| | - Bart O. Roep
- Internal Medicine, Leids Universitair Medisch Centrum, Leiden, the Netherlands
| | - Max Nieuwdorp
- Department of Endocrinology and Metabolism, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Nordin M.J. Hanssen
- Department of Endocrinology and Metabolism, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
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Fuhri Snethlage CM, Balvers M, Ferwerda B, Rampanelli E, de Groen P, Roep BO, Herrema H, McDonald TJ, van Raalte DH, Weedon MN, Oram RA, Nieuwdorp M, Hanssen NMJ. Associations between diabetes-related genetic risk scores and residual beta cell function in type 1 diabetes: the GUTDM1 study. Diabetologia 2024:10.1007/s00125-024-06204-6. [PMID: 38922416 DOI: 10.1007/s00125-024-06204-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Accepted: 04/29/2024] [Indexed: 06/27/2024]
Abstract
AIMS/HYPOTHESIS Use of genetic risk scores (GRS) may help to distinguish between type 1 diabetes and type 2 diabetes, but less is known about whether GRS are associated with disease severity or progression after diagnosis. Therefore, we tested whether GRS are associated with residual beta cell function and glycaemic control in individuals with type 1 diabetes. METHODS Immunochip arrays and TOPMed were used to genotype a cross-sectional cohort (n=479, age 41.7 ± 14.9 years, duration of diabetes 16.0 years [IQR 6.0-29.0], HbA1c 55.6 ± 12.2 mmol/mol). Several GRS, which were originally developed to assess genetic risk of type 1 diabetes (GRS-1, GRS-2) and type 2 diabetes (GRS-T2D), were calculated. GRS-C1 and GRS-C2 were based on SNPs that have previously been shown to be associated with residual beta cell function. Regression models were used to investigate the association between GRS and residual beta cell function, assessed using the urinary C-peptide/creatinine ratio, and the association between GRS and continuous glucose monitor metrics. RESULTS Higher GRS-1 and higher GRS-2 both showed a significant association with undetectable UCPCR (OR 0.78; 95% CI 0.69, 0.89 and OR 0.84: 95% CI 0.75, 0.93, respectively), which were attenuated after correction for sex and age of onset (GRS-2) and disease duration (GRS-1). Higher GRS-C2 was associated with detectable urinary C-peptide/creatinine ratio (≥0.01 nmol/mmol) after correction for sex and age of onset (OR 6.95; 95% CI 1.19, 40.75). A higher GRS-T2D was associated with less time below range (TBR) (OR for TBR<4% 1.41; 95% CI 1.01 to 1.96) and lower glucose coefficient of variance (β -1.53; 95% CI -2.76, -0.29). CONCLUSIONS/INTERPRETATION Diabetes-related GRS are associated with residual beta cell function in individuals with type 1 diabetes. These findings suggest some genetic contribution to preservation of beta cell function.
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Affiliation(s)
- Coco M Fuhri Snethlage
- Department of (Experimental) Vascular and Internal Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
| | - Manon Balvers
- Department of (Experimental) Vascular and Internal Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Bart Ferwerda
- Department of Clinical Epidemiology and Biostatistics, Amsterdam UMC, Amsterdam, the Netherlands
| | - Elena Rampanelli
- Department of (Experimental) Vascular and Internal Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Pleun de Groen
- Department of (Experimental) Vascular and Internal Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Bart O Roep
- Leids Universitair Medisch Centrum, Internal Medicine, Leiden, the Netherlands
| | - Hilde Herrema
- Department of (Experimental) Vascular and Internal Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
| | - Timothy J McDonald
- Peninsula College of Medicine and Dentistry, Peninsula NIHR Clinical Research Facility, Exeter, Devon, UK
| | - Daniël H van Raalte
- Department of (Experimental) Vascular and Internal Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Department of Endocrinology and Metabolism, Amsterdam UMC, Amsterdam, the Netherlands
- Diabeter Center Amsterdam, Amsterdam, the Netherlands
| | - Michael N Weedon
- Peninsula College of Medicine and Dentistry, Peninsula NIHR Clinical Research Facility, Exeter, Devon, UK
| | - Richard A Oram
- Peninsula College of Medicine and Dentistry, Peninsula NIHR Clinical Research Facility, Exeter, Devon, UK
| | - Max Nieuwdorp
- Department of (Experimental) Vascular and Internal Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Diabeter Center Amsterdam, Amsterdam, the Netherlands
| | - Nordin M J Hanssen
- Department of (Experimental) Vascular and Internal Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands
- Diabeter Center Amsterdam, Amsterdam, the Netherlands
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3
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Fuhri Snethlage CM, Meijnikman AS, Mak AL, Rampanelli E, Voermans B, Callender CAK, de Groen P, Roep BO, van Raalte DH, Knop FK, Holleboom AG, Nieuwdorp M, Hanssen NMJ. Prevalence and predictive features of metabolic dysfunction-associated steatotic liver disease in type 1 diabetes. Eur J Endocrinol 2024; 190:391-400. [PMID: 38679966 DOI: 10.1093/ejendo/lvae043] [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: 07/25/2023] [Revised: 10/19/2023] [Accepted: 02/06/2024] [Indexed: 05/01/2024]
Abstract
AIMS/HYPOTHESIS The prevalence and severity of metabolic dysfunction-associated steatotic liver disease (MASLD) in type 1 diabetes remain unclear. Therefore, we investigated the prevalence and severity of MASLD in type 1 diabetes and assessed which clinical features are most important in predicting MASLD severity. METHODS A total of 453 individuals with type 1 diabetes (41.6 ± 15.0 years, 64% female, body mass index [BMI] 25.4 ± 4.2 kg/m2, and HbA1c 55.6 ± 12 mmol/mol) underwent vibration-controlled transient elastography (VCTE), with a controlled attenuation parameter (CAP) score for steatosis (≥280.0 dB/m) and a liver stiffness measurement (LMS) for fibrosis (≥8.0 kPa). A machine learning Extra-Trees classification model was performed to assess the predictive power of the clinical features associated with type 1 diabetes with respect to steatosis and fibrosis. RESULTS The prevalence of hepatic steatosis and fibrosis was 9.5% (95% CI, 6.8-12.2) and 3.5% (95% CI, 1.8-5.2). Higher LMS was associated with a longer duration of type 1 diabetes (median 30.5 [IQR 18.0-39.3] years vs 15.0 [IQR 6.0-27.0] years), and individuals were older, had a higher BMI (mean 27.8 ± 5.2 vs 25.3 ± 4.1 kg/m2), and a higher CAP score (mean 211.4 ± 51.7 dB/m vs 241.4 ± 75.6 dB/m). The most important predictive features of fibrosis were duration of type 1 diabetes, age, and systolic blood pressure, with a mean ± SD area under the curve of 0.73 ± 0.03. CONCLUSION Individuals with type 1 diabetes and high blood pressure, older age, higher BMI, and longer duration of disease could be considered at high-risk for developing MASLD.
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Affiliation(s)
- Coco M Fuhri Snethlage
- Department of Vascular Medicine, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, AZ 1105, The Netherlands
| | - Abraham S Meijnikman
- Department of Vascular Medicine, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, AZ 1105, The Netherlands
| | - Anne Linde Mak
- Department of Vascular Medicine, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, AZ 1105, The Netherlands
| | - Elena Rampanelli
- Department of Vascular Medicine, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, AZ 1105, The Netherlands
| | - Bas Voermans
- Department of Vascular Medicine, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, AZ 1105, The Netherlands
- HORAIZON Technology B.V. Delft, GZ Delft 2625, The Netherlands
| | - Cengiz A K Callender
- Department of Vascular Medicine, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, AZ 1105, The Netherlands
| | - Pleun de Groen
- Department of Vascular Medicine, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, AZ 1105, The Netherlands
| | - Bart O Roep
- Internal Medicine, Leids Universitair Medisch Centrum, Leiden, ZA 2333, The Netherlands
| | - Daniël H van Raalte
- Department of Endocrinology, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, AZ 1105, The Netherlands
| | - Filip K Knop
- Center for Clinical Metabolic Research, Gentofte Hospital, University of Copenhagen, 2900 Hellerup, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
- Steno Diabetes Center Copenhagen, Department of Clinical and Translational Research, 2730 Herlev, Denmark
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Adriaan G Holleboom
- Department of Vascular Medicine, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, AZ 1105, The Netherlands
| | - Max Nieuwdorp
- Department of Vascular Medicine, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, AZ 1105, The Netherlands
| | - Nordin M J Hanssen
- Department of Vascular Medicine, Amsterdam Gastroenterology Endocrinology Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, AZ 1105, The Netherlands
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Kennedy EC, Hawkes CP. Approaches to Measuring Beta Cell Reserve and Defining Partial Clinical Remission in Paediatric Type 1 Diabetes. CHILDREN (BASEL, SWITZERLAND) 2024; 11:186. [PMID: 38397298 PMCID: PMC10887271 DOI: 10.3390/children11020186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 01/26/2024] [Accepted: 02/01/2024] [Indexed: 02/25/2024]
Abstract
CONTEXT Type 1 diabetes (T1D) results from the autoimmune T-cell mediated destruction of pancreatic beta cells leading to insufficient insulin secretion. At the time of diagnosis of T1D, there is residual beta cell function that declines over the subsequent months to years. Recent interventions have been approved to preserve beta cell function in evolving T1D. OBJECTIVE The aim of this review is to summarise the approaches used to assess residual beta cell function in evolving T1D, and to highlight potential future directions. METHODS Studies including subjects aged 0 to 18 years were included in this review. The following search terms were used; "(type 1 diabetes) and (partial remission)" and "(type 1 diabetes) and (honeymoon)". References of included studies were reviewed to determine if additional relevant studies were eligible. RESULTS There are numerous approaches to quantifying beta cell reserve in evolving T1D. These include c-peptide measurement after a mixed meal or glucagon stimuli, fasting c-peptide, the urinary c-peptide/creatinine ratio, insulin dose-adjusted haemoglobin A1c, and other clinical models to estimate beta cell function. Other biomarkers may have a role, including the proinsulin/c-peptide ratio, cytokines, and microRNA. Studies using thresholds to determine if residual beta cell function is present often differ in values used to define remission. CONCLUSIONS As interventions are approved to preserve beta cell function, it will become increasingly necessary to quantify residual beta cell function in research and clinical contexts. In this report, we have highlighted the strengths and limitations of the current approaches.
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Affiliation(s)
- Elaine C Kennedy
- Department of Paediatrics and Child Health, University College Cork, T12 DC4A Cork, Ireland
- INFANT Research Centre, University College Cork, T12 DC4A Cork, Ireland
| | - Colin P Hawkes
- Department of Paediatrics and Child Health, University College Cork, T12 DC4A Cork, Ireland
- INFANT Research Centre, University College Cork, T12 DC4A Cork, Ireland
- Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Division of Endocrinology and Diabetes, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
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Besser REJ, Long AE, Owen KR, Law R, Birks JS, Pearce O, Williams CL, Scudder CL, McDonald TJ, Todd JA. Transdermal Blood Sampling for C-Peptide Is a Minimally Invasive, Reliable Alternative to Venous Sampling in Children and Adults With Type 1 Diabetes. Diabetes Care 2024; 47:239-245. [PMID: 38087932 DOI: 10.2337/dc23-1379] [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: 07/26/2023] [Accepted: 11/02/2023] [Indexed: 01/21/2024]
Abstract
OBJECTIVE C-peptide and islet autoantibodies are key type 1 diabetes biomarkers, typically requiring venous sampling, which limits their utility. We assessed transdermal capillary blood (TCB) collection as a practical alternative. RESEARCH DESIGN AND METHODS Ninety-one individuals (71 with type 1 diabetes, 20 control; individuals with type 1 diabetes: aged median 14.8 years [interquartile range (IQR) 9.1-17.1], diabetes duration 4.0 years [1.5-7.7]; control individuals: 42.2 years [38.0-52.1]) underwent contemporaneous venous and TCB sampling for measurement of plasma C-peptide. Participants with type 1 diabetes also provided venous serum and plasma, and TCB plasma for measurement of autoantibodies to glutamate decarboxylase, islet antigen-2, and zinc transporter 8. The ability of TCB plasma to detect significant endogenous insulin secretion (venous C-peptide ≥200 pmol/L) was compared along with agreement in levels, using Bland-Altman. Venous serum was compared with venous and TCB plasma for detection of autoantibodies, using established thresholds. Acceptability was assessed by age-appropriate questionnaire. RESULTS Transdermal sampling took a mean of 2.35 min (SD 1.49). Median sample volume was 50 µL (IQR 40-50) with 3 of 91 (3.3%) failures, and 13 of 88 (14.7%) <35 µL. TCB C-peptide showed good agreement with venous plasma (mean venous ln[C-peptide] - TCB ln[C-peptide] = 0.008, 95% CI [-0.23, 0.29], with 100% [36 of 36] sensitivity/100% [50 of 50] specificity to detect venous C-peptide ≥200 pmol/L). Where venous serum in multiple autoantibody positive TCB plasma agreed in 22 of 32 (sensitivity 69%), comparative specificity was 35 of 36 (97%). TCB was preferred to venous sampling (type 1 diabetes: 63% vs. 7%; 30% undecided). CONCLUSIONS Transdermal capillary testing for C-peptide is a sensitive, specific, and acceptable alternative to venous sampling; TCB sampling for islet autoantibodies needs further assessment.
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Affiliation(s)
- Rachel E J Besser
- Juvenile Diabetes Research Foundation/Wellcome Diabetes and Inflammation Laboratory, Wellcome Centre for Human Genetics, Nuffield Department of Medicine, Oxford National Institute for Health Research (NIHR) Biomedical Research Centre, University of Oxford, Oxford, U.K
- Department of Paediatric Diabetes, Oxford Children's Hospital, John Radcliffe Hospital, Oxford, U.K
| | - Anna E Long
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, U.K
| | - Katharine R Owen
- Oxford NIHR Biomedical Research Centre, University of Oxford, Oxford, U.K
- Oxford Centre for Diabetes, Endocrinology and Metabolism, Radcliffe Department of Medicine, University of Oxford, Oxford, U.K
| | - Rebecca Law
- Department of Paediatric Diabetes, Oxford Children's Hospital, John Radcliffe Hospital, Oxford, U.K
| | - Jacqueline S Birks
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, Centre for Statistics in Medicine, University of Oxford, Oxford, U.K
| | - Olivia Pearce
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, U.K
| | - Claire L Williams
- Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, U.K
| | - Claire L Scudder
- Juvenile Diabetes Research Foundation/Wellcome Diabetes and Inflammation Laboratory, Wellcome Centre for Human Genetics, Nuffield Department of Medicine, Oxford National Institute for Health Research (NIHR) Biomedical Research Centre, University of Oxford, Oxford, U.K
| | - Timothy J McDonald
- Academic Department of Blood Sciences, Royal Devon University Hospital, Exeter, U.K
- Exeter NIHR Biomedical Research Centre, University of Exeter, Exeter, U.K
| | - John A Todd
- Juvenile Diabetes Research Foundation/Wellcome Diabetes and Inflammation Laboratory, Wellcome Centre for Human Genetics, Nuffield Department of Medicine, Oxford National Institute for Health Research (NIHR) Biomedical Research Centre, University of Oxford, Oxford, U.K
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6
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Mendoza LC, Tashkova M, Corcoy R, Dornhorst A. Pregnancy induces longitudinal changes in urinary C-peptide creatinine ratio in women with type 1 diabetes. Diabet Med 2024; 41:e15154. [PMID: 37227744 DOI: 10.1111/dme.15154] [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: 12/12/2022] [Revised: 05/15/2023] [Accepted: 05/21/2023] [Indexed: 05/26/2023]
Abstract
AIMS Changes in maternal serum C-peptide have been described during pregnancy in women with Type 1 diabetes. We aimed to determine whether in these women, C-peptide, as measured by the urinary C-peptide creatinine ratio (UCPCR), display changes during the course of pregnancy and in the postpartum period. METHODS In this longitudinal study including 26 women, UCPCR was measured in the first, second, and third trimester of pregnancy, and postpartum, using a high sensitivity two-step chemiluminescent microparticle immunoassay. RESULTS UCPCR was detectable in 7/26 (26.9%) participants in the first trimester, 10/26 (38.4%) in the second trimester, and 18/26 (69.2%) in the third trimester. Changes in UCPCR concentrations were observed throughout pregnancy, significantly increasing from first to third trimester. UCPCR concentration in the three trimesters was associated with a shorter duration of diabetes and in the third trimester also with first trimester UCPCR. CONCLUSION UCPCR detects longitudinal changes during pregnancy in women with type 1 diabetes mellitus, more marked in those with shorter diabetes duration.
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Affiliation(s)
- Lilian C Mendoza
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
- Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- CIBER Bioengineering, Biomaterials and Nanotechnology, Instituto de Salud Carlos III, Madrid, Spain
| | - Martina Tashkova
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - Rosa Corcoy
- Institut de Recerca de l'Hospital de la Santa Creu i Sant Pau, Barcelona, Spain
- CIBER Bioengineering, Biomaterials and Nanotechnology, Instituto de Salud Carlos III, Madrid, Spain
| | - Anne Dornhorst
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
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Reintar S, Pöchhacker M, Obermayer A, Eberhard K, Zirlik A, Verheyen N, von Lewinski D, Scherr D, Hutz B, Haudum CW, Pieber TR, Sourij H, Obermayer-Pietsch B. Urinary C-Peptide to Creatinine Ratio (UCPCR) as Indicator for Metabolic Risk in Apparently Healthy Adults-A BioPersMed Cohort Study. Nutrients 2023; 15:2073. [PMID: 37432211 DOI: 10.3390/nu15092073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 04/21/2023] [Accepted: 04/22/2023] [Indexed: 07/12/2023] Open
Abstract
Background: C-peptide is produced in equimolar amounts with insulin from pancreatic beta cells, and thus is a fundamental biomarker for beta cell function. A non-invasive urinary C-peptide-to-creatinine ratio (UCPCR) has attracted attention as a biomarker for metabolic conditions. However, the UCPCR as an indicative risk predictor for prediabetes is still being investigated. Methods: We aimed to characterize UCPCRs in healthy people using American Diabetes Association (ADA) criteria and to evaluate their metabolic outcomes over time. A total of 1022 participants of the Biomarkers in Personalized Medicine cohort (BioPersMed) were screened for this study. Totals of 317 healthy with normal glucose metabolism, 87 prediabetic, and 43 diabetic subjects were included. Results: Prediabetic participants had a significantly higher UCPCR median value than healthy participants (p < 0.05). Dysglycaemia of healthy baseline participants was measured twice over 4.5 ± 0.9 years; 25% and 30% were detected with prediabetes during follow-ups, predicted by UCPCR both for the first (p < 0.05) and the second visit (p < 0.05), respectively. This is in good agreement with the negative predictive UCPCR value of 60.2% based on logistic regression. UCPCR levels were equal in both sexes. Conclusion: UCPCR measurements provide an indicative approach for metabolic risk, representing a potential use for prevention and monitoring of impaired glucose metabolism.
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Affiliation(s)
- Sharmaine Reintar
- Department of Internal Medicine, Division of Endocrinology and Diabetology and Endocrinology Lab Platform, Medical University of Graz, 8036 Graz, Austria
| | - Magdalena Pöchhacker
- Department of Food Chemistry and Toxicology, Faculty of Chemistry, University of Vienna, 1090 Vienna, Austria
| | - Anna Obermayer
- Department of Internal Medicine, Division of Endocrinology and Diabetology and Endocrinology Lab Platform, Medical University of Graz, 8036 Graz, Austria
| | - Katharina Eberhard
- Center for Medical Research, Core Facility Computational Bioanalytics, Medical University of Graz, 8010 Graz, Austria
| | - Andreas Zirlik
- Department of Internal Medicine, Division of Cardiology, Medical University of Graz, 8036 Graz, Austria
| | - Nicolas Verheyen
- Department of Internal Medicine, Division of Cardiology, Medical University of Graz, 8036 Graz, Austria
| | - Dirk von Lewinski
- Department of Internal Medicine, Division of Cardiology, Medical University of Graz, 8036 Graz, Austria
| | - Daniel Scherr
- Department of Internal Medicine, Division of Cardiology, Medical University of Graz, 8036 Graz, Austria
| | - Barbara Hutz
- Department of Internal Medicine, Division of Endocrinology and Diabetology and Endocrinology Lab Platform, Medical University of Graz, 8036 Graz, Austria
| | - Christoph W Haudum
- Department of Internal Medicine, Division of Endocrinology and Diabetology and Endocrinology Lab Platform, Medical University of Graz, 8036 Graz, Austria
| | - Thomas R Pieber
- Department of Internal Medicine, Division of Endocrinology and Diabetology and Endocrinology Lab Platform, Medical University of Graz, 8036 Graz, Austria
| | - Harald Sourij
- Department of Internal Medicine, Division of Endocrinology and Diabetology and Endocrinology Lab Platform, Medical University of Graz, 8036 Graz, Austria
| | - Barbara Obermayer-Pietsch
- Department of Internal Medicine, Division of Endocrinology and Diabetology and Endocrinology Lab Platform, Medical University of Graz, 8036 Graz, Austria
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8
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Meneses MJ, Patarrão RS, Pinheiro T, Coelho I, Carriço N, Marques AC, Romão A, Nabais J, Fortunato E, Raposo JF, Macedo MP. Leveraging the future of diagnosis and management of diabetes: From old indexes to new technologies. Eur J Clin Invest 2023; 53:e13934. [PMID: 36479853 DOI: 10.1111/eci.13934] [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: 09/26/2022] [Revised: 11/15/2022] [Accepted: 12/05/2022] [Indexed: 12/14/2022]
Abstract
BACKGROUND Diabetes is a heterogeneous and multifactorial disease. However, glycemia and glycated hemoglobin have been the focus of diabetes diagnosis and management for the last decades. As diabetes management goes far beyond glucose control, it has become clear that assessment of other biochemical parameters gives a much wider view of the metabolic state of each individual, enabling a precision medicine approach. METHODS In this review, we summarize and discuss indexes that have been used in epidemiological studies and in the clinical practice. RESULTS Indexes of insulin secretion, sensitivity/resistance and metabolism have been developed and validated over the years to account also with insulin, C-peptide, triglycerides or even anthropometric measures. Nevertheless, each one has their own objective and consequently, advantages and disadvantages for specific cases. Thus, we discuss how new technologies, namely new sensors but also new softwares/applications, can improve the diagnosis and management of diabetes, both for healthcare professionals but also for caretakers and, importantly, to promote the empowerment of people living with diabetes. CONCLUSIONS In long-term, the solution for a better diabetes management would be a platform that allows to integrate all sorts of relevant information for the person with diabetes and for the healthcare practitioners, namely glucose, insulin and C-peptide or, in case of need, other parameters/indexes at home, sometimes more than once a day. This solution would allow a better and simpler disease management, more adequate therapeutics thereby improving patients' quality of life and reducing associated costs.
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Affiliation(s)
- Maria João Meneses
- iNOVA4Health, NOVA Medical School, Faculdade de Ciências Médicas, NMS, FCM, Universidade NOVA de Lisboa, Lisbon, Portugal.,DECSIS II Iberia, Évora, Portugal
| | - Rita Susana Patarrão
- iNOVA4Health, NOVA Medical School, Faculdade de Ciências Médicas, NMS, FCM, Universidade NOVA de Lisboa, Lisbon, Portugal
| | - Tomás Pinheiro
- CENIMAT i3N, Materials Science Department, Faculty of Science and Technology, Universidade NOVA de Lisboa and CEMOP/UNINOVA, Caparica, Portugal
| | - Inês Coelho
- iNOVA4Health, NOVA Medical School, Faculdade de Ciências Médicas, NMS, FCM, Universidade NOVA de Lisboa, Lisbon, Portugal
| | | | - Ana Carolina Marques
- CENIMAT i3N, Materials Science Department, Faculty of Science and Technology, Universidade NOVA de Lisboa and CEMOP/UNINOVA, Caparica, Portugal
| | | | - João Nabais
- Comprehensive Health Research Centre (CHRC), Departamento de Ciências Médicas e da Saúde, Escola de Saúde e Desenvolvimento Humano, Universidade de Évora, Évora, Portugal
| | - Elvira Fortunato
- CENIMAT i3N, Materials Science Department, Faculty of Science and Technology, Universidade NOVA de Lisboa and CEMOP/UNINOVA, Caparica, Portugal
| | - João Filipe Raposo
- iNOVA4Health, NOVA Medical School, Faculdade de Ciências Médicas, NMS, FCM, Universidade NOVA de Lisboa, Lisbon, Portugal.,APDP - Diabetes Portugal - Education and Research Center, Lisbon, Portugal
| | - Maria Paula Macedo
- iNOVA4Health, NOVA Medical School, Faculdade de Ciências Médicas, NMS, FCM, Universidade NOVA de Lisboa, Lisbon, Portugal.,APDP - Diabetes Portugal - Education and Research Center, Lisbon, Portugal
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9
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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: 0] [Impact Index Per Article: 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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10
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Eason RJ, Thomas NJ, Hill AV, Knight BA, Carr A, Hattersley AT, McDonald TJ, Shields BM, Jones AG. Routine Islet Autoantibody Testing in Clinically Diagnosed Adult-Onset Type 1 Diabetes Can Help Identify Misclassification and the Possibility of Successful Insulin Cessation. Diabetes Care 2022; 45:2844-2851. [PMID: 36205650 DOI: 10.2337/dc22-0623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Accepted: 08/23/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Recent joint American Diabetes Association and European Association for the Study of Diabetes guidelines recommend routine islet autoantibody testing in all adults newly diagnosed with type 1 diabetes. We aimed to assess the impact of routine islet autoantibody testing in this population. RESEARCH DESIGN AND METHODS We prospectively assessed the relationship between islet autoantibody status (GADA, IA-2A, and ZNT8A), clinical and genetic characteristics, and progression (annual change in urine C-peptide-to-creatinine ratio [UCPCR]) in 722 adults (≥18 years old at diagnosis) with clinically diagnosed type 1 diabetes and diabetes duration <12 months. We also evaluated changes in treatment and glycemia over 2 years after informing participants and their clinicians of autoantibody results. RESULTS Of 722 participants diagnosed with type 1 diabetes, 24.8% (179) were autoantibody negative. This group had genetic and C-peptide characteristics suggestive of a high prevalence of nonautoimmune diabetes: lower mean type 1 diabetes genetic risk score (islet autoantibody negative vs. positive: 10.85 vs. 13.09 [P < 0.001] [type 2 diabetes 10.12]) and lower annual change in C-peptide (UCPCR), -24% vs. -43% (P < 0.001).After median 24 months of follow-up, treatment change occurred in 36.6% (60 of 164) of autoantibody-negative participants: 22.6% (37 of 164) discontinued insulin, with HbA1c similar to that of participants continuing insulin (57.5 vs. 60.8 mmol/mol [7.4 vs. 7.7%], P = 0.4), and 14.0% (23 of 164) added adjuvant agents to insulin. CONCLUSIONS In adult-onset clinically diagnosed type 1 diabetes, negative islet autoantibodies should prompt careful consideration of other diabetes subtypes. When routinely measured, negative antibodies are associated with successful insulin cessation. These findings support recent recommendations for routine islet autoantibody assessment in adult-onset type 1 diabetes.
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Affiliation(s)
- Russell J Eason
- University of Exeter College of Medicine & Health, Exeter, U.K.,Royal Devon University Healthcare NHS Foundation Trust, Exeter, U.K
| | - Nicholas J Thomas
- University of Exeter College of Medicine & Health, Exeter, U.K.,Royal Devon University Healthcare NHS Foundation Trust, Exeter, U.K
| | - Anita V Hill
- Royal Devon University Healthcare NHS Foundation Trust, Exeter, U.K
| | - Bridget A Knight
- University of Exeter College of Medicine & Health, Exeter, U.K.,Royal Devon University Healthcare NHS Foundation Trust, Exeter, U.K
| | - Alice Carr
- University of Exeter College of Medicine & Health, Exeter, U.K
| | - Andrew T Hattersley
- University of Exeter College of Medicine & Health, Exeter, U.K.,Royal Devon University Healthcare NHS Foundation Trust, Exeter, U.K
| | - Timothy J McDonald
- University of Exeter College of Medicine & Health, Exeter, U.K.,Royal Devon University Healthcare NHS Foundation Trust, Exeter, U.K
| | | | - Angus G Jones
- University of Exeter College of Medicine & Health, Exeter, U.K.,Royal Devon University Healthcare NHS Foundation Trust, Exeter, U.K
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11
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Abstract
First envisioned by early diabetes clinicians, a person-centred approach to care was an aspirational goal that aimed to match insulin therapy to each individual's unique requirements. In the 100 years since the discovery of insulin, this goal has evolved to include personalised approaches to type 1 diabetes diagnosis, treatment, prevention and prediction. These advances have been facilitated by the recognition of type 1 diabetes as an autoimmune disease and by advances in our understanding of diabetes pathophysiology, genetics and natural history, which have occurred in parallel with advancements in insulin delivery, glucose monitoring and tools for self-management. In this review, we discuss how these personalised approaches have improved diabetes care and how improved understanding of pathogenesis and human biology might inform precision medicine in the future.
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Affiliation(s)
- Alice L J Carr
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK.
| | - Carmella Evans-Molina
- Department of Pediatrics, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Anatomy, Cell Biology, and Physiology, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
- Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA
- Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN, USA
- Richard L. Roudebush VA Medical Center, Indianapolis, IN, USA
| | - Richard A Oram
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK.
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12
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Colclough K, Patel K. How do I diagnose Maturity Onset Diabetes of the Young in my patients? Clin Endocrinol (Oxf) 2022; 97:436-447. [PMID: 35445424 PMCID: PMC9544561 DOI: 10.1111/cen.14744] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/27/2021] [Revised: 03/21/2022] [Accepted: 04/13/2022] [Indexed: 11/28/2022]
Abstract
Maturity Onset Diabetes of the Young (MODY) is a monogenic form of diabetes diagnosed in young individuals that lack the typical features of type 1 and type 2 diabetes. The genetic subtype of MODY determines the most effective treatment and this is the driver for MODY genetic testing in diabetes populations. Despite the obvious clinical and health economic benefits, MODY is significantly underdiagnosed with the majority of patients being inappropriately managed as having type 1 or type 2 diabetes. Low detection rates result from the difficulty in identifying patients with a likely diagnosis of MODY from the high background population of young onset type 1 and type 2 diabetes, compounded by the lack of MODY awareness and education in diabetes care physicians. MODY diagnosis can be improved through (1) access to education and training, (2) the use of sensitive and specific selection criteria based on accurate prediction models and biomarkers to identify patients for testing, (3) the development and mainstream implementation of simple criteria-based selection pathways applicable across a range of healthcare settings and ethnicities to select the most appropriate patients for genetic testing and (4) the correct use of next generation sequencing technology to provide accurate and comprehensive testing of all known MODY and monogenic diabetes genes. The creation and public sharing of educational materials, clinical and scientific best practice guidelines and genetic variants will help identify the missing patients so they can benefit from the more effective clinical care that a genetic diagnosis brings.
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Affiliation(s)
- Kevin Colclough
- Exeter Genomics LaboratoryRoyal Devon & Exeter NHS Foundation TrustExeterUK
| | - Kashyap Patel
- Institute of Biomedical and Clinical ScienceUniversity of Exeter Medical SchoolExeterUK
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13
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Rojano-Toimil A, Rivera-Esteban J, Manzano-Nuñez R, Bañares J, Martinez Selva D, Gabriel-Medina P, Ferrer R, Pericàs JM, Ciudin A. When Sugar Reaches the Liver: Phenotypes of Patients with Diabetes and NAFLD. J Clin Med 2022; 11:jcm11123286. [PMID: 35743358 PMCID: PMC9225139 DOI: 10.3390/jcm11123286] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Revised: 06/03/2022] [Accepted: 06/06/2022] [Indexed: 01/27/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) and non-alcoholic fatty liver disease (NAFLD) have been traditionally linked to one another. Recent studies suggest that NAFLD may be increasingly common in other types of diabetes such as type 1 diabetes (T1DM) and less frequently ketone-prone and Maturity-onset Diabetes of the Young (MODY) diabetes. In this review, we address the relationship between hyperglycemia and insulin resistance and the onset and progression of NAFLD. In addition, despite the high rate of patients with T2DM and other diabetes phenotypes that can alter liver metabolism and consequently develop steatosis, fibrosis, and cirrhosis, NALFD screening is not still implemented in the daily care routine. Incorporating a clinical algorithm created around a simple, non-invasive, cost-effective model would identify high-risk patients. The principle behind managing these patients is to improve insulin resistance and hyperglycemia states with lifestyle changes, weight loss, and new drug therapies.
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Affiliation(s)
- Alba Rojano-Toimil
- Endocrinology Department, Vall d’Hebron University Hospital, 08035 Barcelona, Spain;
- Vall d’Hebron Institut de Recerca (VHIR), 08035 Barcelona, Spain; (J.R.-E.); (R.M.-N.); (J.B.); (D.M.S.)
| | - Jesús Rivera-Esteban
- Vall d’Hebron Institut de Recerca (VHIR), 08035 Barcelona, Spain; (J.R.-E.); (R.M.-N.); (J.B.); (D.M.S.)
- Medicine Department Bellaterra, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain
- Liver Unit, Vall d’Hebron University Hospital, 08035 Barcelona, Spain
| | - Ramiro Manzano-Nuñez
- Vall d’Hebron Institut de Recerca (VHIR), 08035 Barcelona, Spain; (J.R.-E.); (R.M.-N.); (J.B.); (D.M.S.)
- Liver Unit, Vall d’Hebron University Hospital, 08035 Barcelona, Spain
| | - Juan Bañares
- Vall d’Hebron Institut de Recerca (VHIR), 08035 Barcelona, Spain; (J.R.-E.); (R.M.-N.); (J.B.); (D.M.S.)
- Liver Unit, Vall d’Hebron University Hospital, 08035 Barcelona, Spain
| | - David Martinez Selva
- Vall d’Hebron Institut de Recerca (VHIR), 08035 Barcelona, Spain; (J.R.-E.); (R.M.-N.); (J.B.); (D.M.S.)
- Spanish Network of Biomedical Research Centers, Diabetes and Metabolic Associated Disorders (CIBERdem), 28029 Madrid, Spain
| | - Pablo Gabriel-Medina
- Biochemistry Department, Vall d’Hebron University Hospital, 08035 Barcelona, Spain; (P.G.-M.); (R.F.)
- Biochemistry and Molecular Biology Department, Universitat Autònoma de Barcelona (UAB), Bellaterra, 08193 Barcelona, Spain
| | - Roser Ferrer
- Biochemistry Department, Vall d’Hebron University Hospital, 08035 Barcelona, Spain; (P.G.-M.); (R.F.)
| | - Juan M Pericàs
- Vall d’Hebron Institut de Recerca (VHIR), 08035 Barcelona, Spain; (J.R.-E.); (R.M.-N.); (J.B.); (D.M.S.)
- Liver Unit, Vall d’Hebron University Hospital, 08035 Barcelona, Spain
- Spanish Network of Biomedical Research Centers, Liver and Digestive Diseases (CIBERehd), 28801 Madrid, Spain
- Correspondence: (J.M.P.); (A.C.)
| | - Andreea Ciudin
- Endocrinology Department, Vall d’Hebron University Hospital, 08035 Barcelona, Spain;
- Vall d’Hebron Institut de Recerca (VHIR), 08035 Barcelona, Spain; (J.R.-E.); (R.M.-N.); (J.B.); (D.M.S.)
- Medicine Department Bellaterra, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain
- Spanish Network of Biomedical Research Centers, Diabetes and Metabolic Associated Disorders (CIBERdem), 28029 Madrid, Spain
- Correspondence: (J.M.P.); (A.C.)
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14
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Firdous P, Nissar K, Masoodi SR, Ganai BA. Biomarkers: Tools for Discriminating MODY from Other Diabetic Subtypes. Indian J Endocrinol Metab 2022; 26:223-231. [PMID: 36248040 PMCID: PMC9555386 DOI: 10.4103/ijem.ijem_266_21] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2021] [Revised: 02/24/2022] [Accepted: 05/29/2022] [Indexed: 11/29/2022] Open
Abstract
Maturity Onset Diabetes of Young (MODY), characterized by the pancreatic b-cell dysfunction, the autosomal dominant mode of inheritance and early age of onset (often ≤25 years). It differs from normal type 1 and type 2 diabetes in that it occurs at a low rate of 1-5%, three-generational autosomal dominant patterns of inheritance and lacks typical diabetic features such as obesity. MODY patients can be managed by diet alone for many years, and sulfonylureas are also recommended to be very effective for managing glucose levels for more than 30 years. Despite rapid advancements in molecular disease diagnosis methods, MODY cases are frequently misdiagnosed as type 1 or type 2 due to overlapping clinical features, genetic testing expenses, and a lack of disease understanding. A timely and accurate diagnosis method is critical for disease management and its complications. An early diagnosis and differentiation of MODY at the clinical level could reduce the risk of inappropriate insulin or sulfonylurea treatment therapy and its associated side effects. We present a broader review to highlight the role and efficacy of biomarkers in MODY differentiation and patient selection for genetic testing analysis.
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Affiliation(s)
- Parveena Firdous
- Centre of Research for Development (CORD), University of Kashmir, Srinagar, Jammu and Kashmir
| | - Kamran Nissar
- Centre of Research for Development (CORD), University of Kashmir, Srinagar, Jammu and Kashmir
- Department of Clinical Biochemistry, University of Kashmir, Srinagar, Jammu and Kashmir
| | | | - Bashir Ahmad Ganai
- Centre of Research for Development (CORD), University of Kashmir, Srinagar, Jammu and Kashmir
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15
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Wang Y, Zou X, Cai X, Liu W, Chen L, Zhang R, Zhou L, Gong S, Gao Y, Li S, Luo Y, Han X, Ji L. Urinary C-peptide/creatinine ratio: A useful biomarker of insulin resistance and refined classification of type 2 diabetes mellitus. J Diabetes 2021; 13:893-904. [PMID: 34051046 DOI: 10.1111/1753-0407.13203] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/25/2020] [Revised: 05/20/2021] [Accepted: 05/25/2021] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND The urinary C-peptide/creatinine ratio (UCPCR) is low in patients with type 1 diabetes mellitus, but it has not been well characterized in patients with type 2 diabetes mellitus (T2DM). We aimed to measure the UCPCRs in patients with T2DM and explore the relationships among UCPCR, insulin resistance (IR), and chronic vascular complications of diabetes. METHODS A cross-sectional study was performed of 1299 Chinese hospitalized patients with T2DM. Binary logistic regression was used to evaluate the relationships between the chronic vascular complications of diabetes and UCPCR. K-means analysis was used to allocate participants to subgroups with five to six variables (age at diagnosis, body mass index [BMI], glycosylated hemoglobin, homoeostasis model assessment 2-estimated beta-cell function (HOMA2-B), and HOMA2-insulin resistance (HOMA2-IR), with or without UCPCR). RESULTS UCPCR positively correlated with HOMA2-IR (r = 0.448, P < .001). After adjustment for sex, age, duration of diabetes, and other cardiovascular risk factors, UCPCR was positively associated with diabetic kidney disease (DKD) (odds ratio [OR] = 1.198, 95% CI 1.019-1.408, P = .029) and coronary heart disease (CHD) (OR = 1.312, 95% CI 1.079-1.594, P = .006). When UCPCR was added, cluster analysis using the six variables identified five subgroups of T2DM, characterized by differing age at diagnosis, BMI, beta-cell function, IR, and prevalence of vascular complications. CONCLUSIONS UCPCR is positively associated with IR, DKD, and CHD and represents a promising biomarker that could refine the classification of T2DM.
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Affiliation(s)
- Yanai Wang
- Departments of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Xiantong Zou
- Departments of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Xiaoling Cai
- Departments of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Wei Liu
- Departments of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Ling Chen
- Departments of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Rui Zhang
- Departments of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Lingli Zhou
- Departments of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Siqian Gong
- Departments of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Ying Gao
- Departments of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Simin Li
- Departments of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Yingying Luo
- Departments of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Xueyao Han
- Departments of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
| | - Linong Ji
- Departments of Endocrinology and Metabolism, Peking University People's Hospital, Peking University Diabetes Center, Beijing, China
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16
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Gregory JW, Carter K, Cheung WY, Holland G, Bowen-Morris J, Luzio S, Dunseath G, Tree T, Yang JHM, Marwaha A, Ali MA, Bashir N, Hutchings HA, Fegan GW, Stenson R, Hiles S, Marques-Jones S, Brown A, Tatovic D, Dayan C. Phase II multicentre, double-blind, randomised trial of ustekinumab in adolescents with new-onset type 1 diabetes (USTEK1D): trial protocol. BMJ Open 2021; 11:e049595. [PMID: 34663658 PMCID: PMC8524290 DOI: 10.1136/bmjopen-2021-049595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
INTRODUCTION Most individuals newly diagnosed with type 1 diabetes (T1D) have 10%-20% of beta-cell function remaining at the time of diagnosis. Preservation of residual beta-cell function at diagnosis may improve glycaemic control and reduce longer-term complications.Immunotherapy has the potential to preserve endogenous beta-cell function and thereby improve metabolic control even in poorly compliant individuals. We propose to test ustekinumab (STELARA), a targeted and well-tolerated therapy that may halt T-cell and cytokine-mediated destruction of beta-cells in the pancreas at the time of diagnosis. METHODS AND ANALYSIS This is a double-blind phase II study to assess the safety and efficacy of ustekinumab in 72 children and adolescents aged 12-18 with new-onset T1D.Participants should have evidence of residual functioning beta-cells (serum C-peptide level >0.2nmol/L in the mixed-meal tolerance test (MMTT) and be positive for at least one islet autoantibody (GAD, IA-2, ZnT8) to be eligible.Participants will be given ustekinumab/placebo subcutaneously at weeks 0, 4 and 12, 20, 28, 36 and 44 in a dose depending on the body weight and will be followed for 12 months after dose 1.MMTTs will be used to measure the efficacy of ustekinumab for preserving C-peptide area under the curve at week 52 compared with placebo. Secondary objectives include further investigations into the efficacy and safety of ustekinumab, patient and parent questionnaires, alternative methods for measuring insulin production and exploratory mechanistic work. ETHICS AND DISSEMINATION This trial received research ethics approval from the Wales Research Ethics Committee 3 in September 2018 and began recruiting in December 2018.The results will be disseminated using highly accessed, peer-reviewed medical journals and presented at conferences. TRIAL REGISTRATION NUMBER ISRCTN14274380.
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Affiliation(s)
- John W Gregory
- Division of Population Medicine, Cardiff University, Cardiff, South Glamorgan, UK
| | - Kymberley Carter
- Swansea Trials Unit (STU), Swansea University, Swansea, West Glamorgan, UK
| | - Wai Yee Cheung
- Diabetes Research Unit Cymru (DRUC), Swansea University, Swansea, West Glamorgan, UK
| | - Gail Holland
- Swansea Trials Unit (STU), Swansea University, Swansea, West Glamorgan, UK
| | - Jane Bowen-Morris
- Diabetes Research Group, Cardiff University, Cardiff, South Glamorgan, UK
| | - Stephen Luzio
- Diabetes Research Unit Cymru (DRUC), Swansea University, Swansea, West Glamorgan, UK
| | - Gareth Dunseath
- Diabetes Research Unit Cymru (DRUC), Swansea University, Swansea, West Glamorgan, UK
| | - Timothy Tree
- Peter Gorer Department of Immunobiology, King's College London, London, UK
- National Institute for Health Research (NIHR) Biomedical Research Center (BRC), Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK
| | - Jennie Hsiu Mien Yang
- Peter Gorer Department of Immunobiology, King's College London, London, UK
- National Institute for Health Research (NIHR) Biomedical Research Center (BRC), Guy's and St Thomas' NHS Foundation Trust and King's College London, London, UK
| | - Ashish Marwaha
- Department of Molecular Genetics, Cumming School of Medicine, The University of Calgary, Calgary, Alberta, Canada
| | | | - Nadim Bashir
- Swansea Trials Unit (STU), Swansea University, Swansea, West Glamorgan, UK
| | | | - Greg W Fegan
- Swansea Trials Unit (STU), Swansea University, Swansea, West Glamorgan, UK
| | - Rachel Stenson
- Diabetes Research Group, Cardiff University, Cardiff, South Glamorgan, UK
| | - Stephen Hiles
- Swansea Trials Unit (STU), Swansea University, Swansea, West Glamorgan, UK
| | | | - Amy Brown
- Patient and Public Representative, Cardiff, UK
| | - Danijela Tatovic
- Diabetes Research Group, Cardiff University, Cardiff, South Glamorgan, UK
| | - Colin Dayan
- Diabetes Research Group, Cardiff University, Cardiff, South Glamorgan, UK
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17
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Yuan JN, Zhang JW, Cutfield WS, Dong GP, Jiang YJ, Wu W, Huang K, Chen XC, Zheng Y, Liu BH, Derraik JGB, Fu JF. Surrogate markers and predictors of endogenous insulin secretion in children and adolescents with type 1 diabetes. World J Pediatr 2021; 17:99-105. [PMID: 33411158 DOI: 10.1007/s12519-020-00382-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 07/12/2020] [Indexed: 11/30/2022]
Abstract
BACKGROUND No studies have examined endogenous insulin secretion in pediatric patients with type 1 diabetes in China using the gold-standard mixed-meal tolerance test. Because the latter is labor-intensive, we examined simpler surrogate markers of endogenous insulin secretion in Chinese youth, as previously reported for a European population. METHODS Participants were 57 children and adolescents with type 1 diabetes aged 4.4-16.8 years (56% females). We performed 120-minute mixed-meal tolerance tests with serum C-peptide (CP) measurements every 30 minutes. Severe insulin deficiency (SID) was defined as CP peak < 0.2 nmol/L. Urine CP and creatinine levels were measured at 0 and 120 minutes. RESULTS Twenty-five (44%) patients had SID. Fasting CP levels missed one case (96% sensitivity) with no false positives (100% specificity). While the 120-minute urine CP/creatinine had 100% sensitivity, it yielded markedly lower specificity (63%). Every 1-year increase in diabetes duration and 1-year decrease in age at diagnosis were associated with 37% (P < 0.001) and 20% (P = 0.005) reductions in serum CP area-under-the-curve, respectively. Thus, 86% of children aged < 5 years had SID compared to none among patients aged ≥ 11 years. CONCLUSIONS Simple fasting CP measurements could be used to detect most SID cases in Chinese youth with type 1 diabetes. Fasting CP is a far more reliable measure of endogenous insulin secretion than the more commonly used insulin dose. Therefore, it could more precisely determine insulin secretory capacity to target those who could benefit, if treatments to preserve residual insulin secretion are developed.
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Affiliation(s)
- Jin-Na Yuan
- Department of Endocrinology, National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Jian-Wei Zhang
- Department of Pediatrics, Shaoxing Women and Children's Hospital, Shaoxing, China
| | - Wayne S Cutfield
- Liggins Institute, University of Auckland, Auckland, New Zealand.,A Better Start-National Science Challenge, University of Auckland, Auckland, New Zealand.,Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Guan-Ping Dong
- Department of Endocrinology, National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - You-Jun Jiang
- Department of Endocrinology, National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Wei Wu
- Department of Endocrinology, National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Ke Huang
- Department of Endocrinology, National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Xiao-Chun Chen
- Department of Endocrinology, National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Yan Zheng
- Department of Endocrinology, National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - Bi-Hong Liu
- Department of Endocrinology, National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China
| | - José G B Derraik
- Department of Endocrinology, National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.,Liggins Institute, University of Auckland, Auckland, New Zealand.,A Better Start-National Science Challenge, University of Auckland, Auckland, New Zealand.,Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
| | - Jun-Fen Fu
- Department of Endocrinology, National Clinical Research Center for Child Health, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou 310003, China.
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18
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Hulín J, Škopková M, Valkovičová T, Mikulajová S, Rosoľanková M, Papcun P, Gašperíková D, Staník J. Clinical implications of the glucokinase impaired function - GCK MODY today. Physiol Res 2020; 69:995-1011. [PMID: 33129248 DOI: 10.33549/physiolres.934487] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Heterozygous inactivating mutations of the glucokinase (GCK) gene are causing GCK-MODY, one of the most common forms of the Maturity Onset Diabetes of the Young (MODY). GCK-MODY is characterized by fasting hyperglycemia without apparent worsening with aging and low risk for chronic vascular complications. Despite the mild clinical course, GCK-MODY could be misdiagnosed as type 1 or type 2 diabetes. In the diagnostic process, the clinical suspicion is often based on the clinical diagnostic criteria for GCK-MODY and should be confirmed by DNA analysis. However, there are several issues in the clinical and also in genetic part that could complicate the diagnostic process. Most of the people with GCK-MODY do not require any pharmacotherapy. The exception are pregnant women with a fetus which did not inherit GCK mutation from the mother. Such a child has accelerated growth, and has increased risk for diabetic foetopathy. In this situation the mother should be treated with substitutional doses of insulin. Therefore, distinguishing GCK-MODY from gestational diabetes in pregnancy is very important. For this purpose, special clinical diagnostic criteria for clinical identification of GCK-MODY in pregnancy are used. This review updates information on GCK-MODY and discusses several currently not solved problems in the clinical diagnostic process, genetics, and treatment of this type of monogenic diabetes.
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Affiliation(s)
- J Hulín
- Department of Pediatrics, Medical Faculty of the Comenius University, Bratislava, Slovakia.
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19
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McEachron KR, Yang Y, Hodges JS, Beilman GJ, Kirchner VA, Pruett TL, Chinnakotla S, Hering BJ, Bellin MD. Performance of modified Igls criteria to evaluate islet autograft function after total pancreatectomy with islet autotransplantation - a retrospective study. Transpl Int 2020; 34:87-96. [PMID: 33020957 DOI: 10.1111/tri.13762] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2020] [Revised: 08/10/2020] [Accepted: 09/28/2020] [Indexed: 11/30/2022]
Abstract
The Igls criteria assess islet function after islet allotransplant, based on C-peptide, insulin use, hemoglobin A1c, and severe hypoglycemia. However, these criteria as currently defined cannot be applied to total pancreatectomy islet autotransplant (TPIAT) patients. We tested modified criteria for assessing islet function in a large cohort of TPIAT patients (n = 379). Metabolic outcomes were assessed. We assigned Auto-Igls class to each patient as able and evaluated the utility, validity, and perioperative risk factors of Auto-Igls at 1-year post-IAT. We tested the association of Auto-Igls with independent measures of islet graft function, specifically continuous glucose monitoring (CGM) data or acute C-peptide response to glucose (ACRglu) from intravenous glucose tolerance tests. An Auto-Igls class was assigned to 264 patients (69%). Among patients who could not be classified, most were missing exact insulin dose. Seventy-three percent of TPIAT recipients were classified as optimal or good at 1 year. The only significant predictor of Auto-Igls class was islet mass transplanted (P < 0.0001). Auto-Igls class was associated with percent time in range (70-140 mg/dl) on CGM (P = 0.02) and ACRglu (P < 0.0001). Modified Igls classification for IAT permits simple, comprehensive assessment of metabolic outcomes after TPIAT and is associated with other islet functional measures.
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Affiliation(s)
| | - Yi Yang
- School of Public Health Division of Biostatistics, University of Minnesota, Minneapolis, MN, USA
| | - James S Hodges
- School of Public Health Division of Biostatistics, University of Minnesota, Minneapolis, MN, USA
| | - Gregory J Beilman
- Department of Surgery, University of Minnesota, Minneapolis, MN, USA
| | | | - Timothy L Pruett
- Department of Surgery, University of Minnesota, Minneapolis, MN, USA
| | | | - Bernhard J Hering
- Department of Surgery, University of Minnesota, Minneapolis, MN, USA.,Schulze Diabetes Institute, University of Minnesota, Minneapolis, MN, USA
| | - Melena D Bellin
- Department of Surgery, University of Minnesota, Minneapolis, MN, USA.,Schulze Diabetes Institute, University of Minnesota, Minneapolis, MN, USA.,Department of Pediatrics, University of Minnesota, Minneapolis, MN, USA
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20
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Taylor GS, Smith K, Capper TE, Scragg JH, Bashir A, Flatt A, Stevenson EJ, McDonald TJ, Oram RA, Shaw JA, West DJ. Postexercise Glycemic Control in Type 1 Diabetes Is Associated With Residual β-Cell Function. Diabetes Care 2020; 43:2362-2370. [PMID: 32747405 PMCID: PMC7510016 DOI: 10.2337/dc20-0300] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2020] [Accepted: 06/28/2020] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To investigate the impact of residual β-cell function on continuous glucose monitoring (CGM) outcomes following acute exercise in people with type 1 diabetes (T1D). RESEARCH DESIGN AND METHODS Thirty participants with T1D for ≥3 years were recruited. First, participants wore a blinded CGM unit for 7 days of free-living data capture. Second, a 3-h mixed-meal test assessed stimulated C-peptide and glucagon. Peak C-peptide was used to allocate participants into undetectable (Cpepund <3 pmol/L), low (Cpeplow 3-200 pmol/L), or high (Cpephigh >200 pmol/L) C-peptide groups. Finally, participants completed 45 min of incline treadmill walking at 60% VO2peak followed by a further 48-h CGM capture. RESULTS CGM parameters were comparable across groups during the free-living observation week. In the 12- and 24-h postexercise periods (12 h and 24 h), the Cpephigh group had a significantly greater amount of time spent with glucose 3.9-10 mmol/L (12 h, 73.5 ± 27.6%; 24 h, 76.3 ± 19.2%) compared with Cpeplow (12 h, 43.6 ± 26.1%, P = 0.027; 24 h, 52.3 ± 25.0%, P = 0.067) or Cpepund (12 h, 40.6 ± 17.0%, P = 0.010; 24 h, 51.3 ± 22.3%, P = 0.041). Time spent in hyperglycemia (12 h and 24 h glucose >10 and >13.9 mmol/L, P < 0.05) and glycemic variability (12 h and 24 h SD, P < 0.01) were significantly lower in the Cpephigh group compared with Cpepund and Cpeplow. Change in CGM outcomes from pre-exercise to 24-h postexercise was divergent: Cpepund and Cpeplow experienced worsening (glucose 3.9-10 mmol/L: -9.1% and -16.2%, respectively), with Cpephigh experiencing improvement (+12.1%) (P = 0.017). CONCLUSIONS Residual β-cell function may partially explain the interindividual variation in the acute glycemic benefits of exercise in individuals with T1D. Quantifying C-peptide could aid in providing personalized and targeted support for exercising patients.
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Affiliation(s)
- Guy S Taylor
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, U.K
| | - Kieran Smith
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, U.K
| | - Tess E Capper
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, U.K.,Centre for Public Health, Queen's University Belfast, Belfast, U.K
| | - Jadine H Scragg
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, U.K
| | - Ayat Bashir
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, U.K
| | - Anneliese Flatt
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, U.K
| | - Emma J Stevenson
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, U.K
| | - Timothy J McDonald
- National Institute for Health Research Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K.,Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - Richard A Oram
- National Institute for Health Research Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K.,Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - James A Shaw
- Translational and Clinical Research Institute, Newcastle University, Newcastle upon Tyne, U.K.
| | - Daniel J West
- Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, U.K.
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21
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Tabung FK, Noonan A, Lee DH, Song M, Clinton SK, Spakowicz D, Wu K, Cheng E, Meyerhardt JA, Fuchs CS, Giovannucci EL. Post-diagnosis dietary insulinemic potential and survival outcomes among colorectal cancer patients. BMC Cancer 2020; 20:817. [PMID: 32854644 PMCID: PMC7450968 DOI: 10.1186/s12885-020-07288-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2020] [Accepted: 08/11/2020] [Indexed: 12/20/2022] Open
Abstract
Background The empirical dietary index for hyperinsulinemia (EDIH) score is a validated food-based dietary score that assesses the ability of whole-food diets to predict plasma c-peptide concentrations. Although the EDIH has been extensively applied and found to be predictive of risk of developing major chronic diseases, its influence on cancer survival has not been evaluated. We applied the EDIH score in a large cohort of colorectal cancer patients to assess the insulinemic potential of their dietary patterns after diagnosis and determine its influence on survival outcomes. Methods We calculated EDIH scores to assess the insulinemic potential of post-diagnosis dietary patterns and examined survival outcomes in a sample of 1718 stage I-III colorectal cancer patients in the Nurses’ Health Study and Health Professionals Follow-up Study cohorts. Multivariable-adjusted Cox regression was applied to compute hazard ratios (HR) and 95% confidence intervals (CI) for colorectal cancer-specific mortality and all-cause mortality. We also examined the influence of change in diet from pre- to post-diagnosis period, on mortality. Results During a median follow-up of 9.9 years, there were 1008 deaths, which included 272 colorectal cancer-specific deaths (27%). In the multivariable-adjusted analyses, colorectal cancer patients in the highest compared to lowest EDIH quintile, had a 66% greater risk of dying from colorectal cancer: HR, 1.66; 95% CI, 1.03, 2.69; and a 24% greater risk of all-cause death: HR, 1.24; 95%CI, 0.97, 1.58. Compared to patients who consumed low insulinemic diets from pre- to post-diagnosis period, patients who persistently consumed hyperinsulinemic diets were at higher risk of colorectal cancer death (HR,1.51; 95%CI, 0.98, 2.32) and all-cause death (HR, 1.31; 95%CI, 1.04, 2.64). Conclusion Our findings suggest that a hyperinsulinemic dietary pattern after diagnosis of colorectal cancer is associated with poorer survival. Interventions with dietary patterns to reduce insulinemic activity and impact survivorship are warranted.
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Affiliation(s)
- Fred K Tabung
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University College of Medicine, 410 West 12th Avenue, 302B Wiseman Hall/CCC, Columbus, OH, 43210, USA. .,The Ohio State University Comprehensive Cancer Center - Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH, USA. .,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Anne Noonan
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University College of Medicine, 410 West 12th Avenue, 302B Wiseman Hall/CCC, Columbus, OH, 43210, USA.,The Ohio State University Comprehensive Cancer Center - Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH, USA
| | - Dong Hoon Lee
- The Ohio State University Comprehensive Cancer Center - Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH, USA.,Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Mingyang Song
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA.,Clinical and Translational Epidemiology Unit and Department of Gastroenterology, Massachusetts General Hospital, Boston, MA, USA
| | - Steven K Clinton
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University College of Medicine, 410 West 12th Avenue, 302B Wiseman Hall/CCC, Columbus, OH, 43210, USA.,The Ohio State University Comprehensive Cancer Center - Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH, USA
| | - Daniel Spakowicz
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University College of Medicine, 410 West 12th Avenue, 302B Wiseman Hall/CCC, Columbus, OH, 43210, USA.,The Ohio State University Comprehensive Cancer Center - Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH, USA
| | - Kana Wu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - En Cheng
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA
| | - Jeffrey A Meyerhardt
- Harvard Medical School, Boston, MA, USA.,Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Charles S Fuchs
- Department of Chronic Disease Epidemiology, Yale School of Public Health, New Haven, CT, USA.,Department of Medicine, Yale School of Medicine and Smilow Cancer Hospital, New Haven, CT, USA
| | - Edward L Giovannucci
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.,Harvard Medical School, Boston, MA, USA
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22
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Elzahar W, Arafa A, Youssef A, Erfan A, El Amrousy D. Urinary C-peptide creatinine ratio to differentiate type 2 diabetes mellitus from type 1 in pediatric patients. Eur J Pediatr 2020; 179:1115-1120. [PMID: 32052124 DOI: 10.1007/s00431-020-03606-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/29/2019] [Revised: 02/03/2020] [Accepted: 02/06/2020] [Indexed: 02/07/2023]
Abstract
Type 2 diabetes mellitus (T2DM) is frequently misdiagnosed in children and treated as type 1 DM (T1DM) with insulin. Urinary C-peptide to creatinine ratio (UCPCR) can be used to measure ß cell function and endogenous insulin. We aimed to assess the value of UCPCR to differentiate T2DM from T1DM in pediatric patients. We assessed UCPCR from urine sample taken 2 h after lunch in 50 children with T1DM and 30 children with T2DM (duration of the disease ≥ 2 years and without renal impairment). Fasting and postprandial C-peptide levels were also evaluated in all included children. Receiver operating characteristic (ROC) curve was performed to assess the optimal UCPCR cutoff level to differentiate T2DM from T1DM in children. UCPCR was significantly lower in children with T1DM compared with those with T2DM (P < 0.001). There was a significant positive correlation between UCPCR and fasting C-peptide, postprandial C-peptide, and age of onset. There was a significant negative correlation between the UCPCR and both HbA1c and duration of DM in T1DM. Fasting C-peptide had a sensitivity of 63%, a specificity of 84% at a cutoff point ≥ 1.3 ng/ml to differentiate T2DM from T1DM. Postprandial C-peptide had a sensitivity of 87%, a specificity of 86% at a cutoff point ≥ 3.2 ng/ml to differentiate T2DM from T1DM. Finally, UCPCR had a sensitivity of 97%, a specificity of 88% at a cutoff point ≥ 0.28 nmol/nmol to differentiate T2DM from T1DM in pediatric patients.Conclusion: UCPCR is an easy noninvasive reliable marker to differentiate T2DM from T1DM in pediatric patients.What is Known:• Type 2 DM (T2DM) is frequently misdiagnosed in children and treated as type 1 DM (T1DM) with insulin.• Urinary C-peptide to creatinine ratio (UCPCR) can be used to measure ß cell function and endogenous insulin.What is New:• We revealed that UCPCR had a sensitivity of 97%, a specificity of 88% at a cutoff point ≥ 0.28 nmol/nmol to differentiate T2DM from T1DM.• UCPCR is an easy noninvasive dependable marker to diagnose T2DM from T1DM in pediatric patients.
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Affiliation(s)
- Wafaa Elzahar
- Pediatric Department, Faculty of Medicine, Tanta University Hospital, El motasem street No 6, Tanta, Egypt
| | - Ahmed Arafa
- Pediatric Department, Faculty of Medicine, Tanta University Hospital, El motasem street No 6, Tanta, Egypt
| | - Amira Youssef
- Clinical Pathology Department, Faculty of Medicine, Tanta University Hospital, Tanta, Egypt
| | - Adel Erfan
- Pediatric Department, Faculty of Medicine, Tanta University Hospital, El motasem street No 6, Tanta, Egypt
| | - Doaa El Amrousy
- Pediatric Department, Faculty of Medicine, Tanta University Hospital, El motasem street No 6, Tanta, Egypt.
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23
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Lee DH, Giovannucci EL, Tabung FK. Insulin-related dietary indices predict 24-h urinary C-peptide in adult men. Br J Nutr 2020:1-8. [PMID: 32618519 PMCID: PMC7749049 DOI: 10.1017/s0007114520002184] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
The dietary insulin index directly estimates the postprandial insulin secretion potential of foods, whereas the empirical dietary index for hyperinsulinaemia (EDIH) assesses the insulinaemic potential of usual diets based on fasting plasma C-peptide, and is primarily reflective of insulin resistance. It is unknown whether these insulin-related indices are predictive of an integrated measure of insulin secretion. We conducted a cross-sectional analysis that included 293 non-diabetic men with 24-h urinary C-peptide data from the Men's Lifestyle Validation Study. EDIH, dietary insulin index and dietary insulin load were calculated using validated FFQ. We conducted multivariable-adjusted linear regression to estimate relative and absolute concentrations of 24-h urinary C-peptide. In multivariable-adjusted models, we found a significant positive association between all three insulin-related dietary indices and 24-h urinary C-peptide (P < 0·05). Relative concentrations of 24-h urinary C-peptide per 1-sd increase in insulin-related dietary indices were 1·12 (95 % CI 1·02, 1·23) for EDIH, 1·18 (95 % CI 1·07, 1·29) for dietary insulin index and 1·16 (95 % CI 1·06, 1·27) for dietary insulin load. When we further adjusted for BMI, the association was attenuated for EDIH, to 1·07 (95 % CI 0·98, 1·16), and remained unchanged for dietary insulin index and dietary insulin load. In conclusion, EDIH, dietary insulin index and dietary insulin load were predictive of integrated insulin secretion assessed by 24-h urinary C-peptide. Findings after adjustment for BMI appear to confirm the relation of EDIH to insulin resistance and dietary insulin index/load to insulin secretion; the respective constructs of the two dietary indices.
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Affiliation(s)
- Dong Hoon Lee
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Edward L. Giovannucci
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Fred K. Tabung
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
- Division of Medical Oncology, Department of Internal Medicine, The Ohio State University College of Medicine and Comprehensive Cancer Center - Arthur G. James Cancer Hospital and Richard J. Solove Research Institute, Columbus, OH
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24
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Wysham C, Shubrook J. Beta-cell failure in type 2 diabetes: mechanisms, markers, and clinical implications. Postgrad Med 2020; 132:676-686. [PMID: 32543261 DOI: 10.1080/00325481.2020.1771047] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
It is well known that type 2 diabetes mellitus (T2D) is a globally increasing health burden. Despite recent therapeutic advances and the availability of many different classes of antihyperglycemic therapy, a large proportion of people do not achieve glycemic control. A decline in pancreatic beta-cell function has been defined as a key contributing factor to progression of T2D. In fact, a significant proportion of beta-cell secretory capacity is thought to be lost well before the diagnosis of T2D is made. Several models have been proposed to explain the reduction in beta-cell function, including reduced beta-cell number, beta-cell exhaustion, and dedifferentiation or transdifferentiation into other cell types. However, there have been reports that suggest remission of T2D is possible, and it is believed that beta-cell dysfunction may be, in part, reversible. As such, the question of whether beta cells are committed to failure in people with T2D is complex. It is now widely accepted that early restoration of normoglycemia may protect beta-cell function. Key to the successful implementation of this approach in clinical practice is the appropriate assessment of individuals at risk of beta-cell failure, and the early implementation of appropriate treatment options. In this review, we discuss the progression of T2D in the context of beta-cell failure and describe how C-peptide testing can be used to assess beta-cell function in primary care practice. In conclusion, significant beta-cell dysfunction is likely in individuals with certain clinical characteristics of T2D, such as long duration of disease, high glycated hemoglobin (≥9%), and/or long-term use of therapies that continuously stimulate the beta cell. In these people, measurement of beta-cell status could assist with choice of appropriate therapy to delay or potentially reverse beta-cell dysfunction and the progression of T2D.
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Affiliation(s)
- Carol Wysham
- Department of Diabetes and Endocrinology, Rockwood Diabetes & Endocrinology Clinic , Spokane, WA, USA
| | - Jay Shubrook
- College of Osteopathic Medicine, Touro University California , Vallejo, CA, USA
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25
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Liu W, Huang X, Zhang X, Cai X, Han X, Zhou X, Chen L, Zhang R, Gong S, Wang Y, Ji L. Urinary C-Peptide Creatinine Ratio as a Non-Invasive Tool for Identifying Latent Autoimmune Diabetes in Adults (LADA). Diabetes Metab Syndr Obes 2019; 12:2531-2537. [PMID: 31819578 PMCID: PMC6896913 DOI: 10.2147/dmso.s229675] [Citation(s) in RCA: 5] [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: 09/03/2019] [Accepted: 11/23/2019] [Indexed: 12/17/2022] Open
Abstract
PURPOSE Latent autoimmune diabetes in adults (LADA) is a slowly progressing form of immune-mediated diabetes that combines phenotypical features of both type 2 diabetes mellitus (T2DM) and type 1 diabetes mellitus (T1DM), meaning that accurate and early diagnosis of this subtype of diabetes is critical for optimal long-term management. Urinary C-peptide creatinine ratio (UCPCR) represents a non-invasive and practical method for assessing endogenous insulin production to facilitate diabetes classification. However, no study to date has reported the use of UCPCR in identifying LADA. PATIENTS AND METHODS A total of 574 subjects were included in our study (42 LADA, 61 T1DM, 471 T2DM). All participants were evaluated for UCPCR and underwent clinical and laboratory evaluations. UCPCR was compared among different subtypes of diabetes using multinomial regression analysis, and a receiver operating characteristic (ROC) curve was used to identify its performance in diagnosing LADA. RESULTS UCPCR was lower in LADA (0.4±0.6 nmol/mmol) compared with T2DM (1.2±0.9 nmol/mmol), but higher than in T1DM (0.2±0.3 nmol/mmol) (p<0.05). The association between UCPCR and LADA remained significant after adjusting for gender, age, age at diagnosis, body mass index, high-density lipoprotein cholesterol, and triglyceride (OR, 95% confidence interval (CI), 0.29 (0.09, 0.95)). The ROC curve revealed an area under the curve of 0.835 (95% CI (0.742-0.928), p<0.001). The cut-off point for UCPCR ≤ 0.46 nmol/mmol was 82.1% for sensitivity and 76.7% for specificity in the diagnosis of LADA. CONCLUSION UCPCR may represent a non-invasive, simple, and practical measurement of insulin secretion for early discrimination of LADA in routine clinical practice.
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Affiliation(s)
- Wei Liu
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, People’s Republic of China
| | - Xingquan Huang
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, People’s Republic of China
- Department of Endocrinology and Metabolism, The Second Affiliated Hospital of Hebei North University, Zhangjiakou, Hebei, People’s Republic of China
| | - Xiuying Zhang
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, People’s Republic of China
| | - Xiaoling Cai
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, People’s Republic of China
| | - Xueyao Han
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, People’s Republic of China
| | - Xianghai Zhou
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, People’s Republic of China
| | - Ling Chen
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, People’s Republic of China
| | - Rui Zhang
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, People’s Republic of China
| | - Siqian Gong
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, People’s Republic of China
| | - Yanai Wang
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, People’s Republic of China
| | - Linong Ji
- Department of Endocrinology and Metabolism, Peking University People’s Hospital, Beijing, People’s Republic of China
- Correspondence: Linong Ji Department of Endocrinology and Metabolism, Peking University People’s Hospital, No. 11, Xi Zhi Men Nan Street, Beijing100044, People’s Republic of ChinaTel +86-10-88324108Fax +86-10-88324371 Email
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Tabung FK, Wang W, Fung TT, Smith-Warner SA, Keum N, Wu K, Fuchs CS, Hu FB, Giovannucci EL. Association of dietary insulinemic potential and colorectal cancer risk in men and women. Am J Clin Nutr 2018; 108:363-370. [PMID: 29901698 PMCID: PMC6454497 DOI: 10.1093/ajcn/nqy093] [Citation(s) in RCA: 53] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Accepted: 04/11/2018] [Indexed: 12/13/2022] Open
Abstract
Background Insulin response may be important in colorectal cancer development. Diet modulates insulin response and may be a modifiable factor in colorectal cancer prevention. Objective We examined associations between hyperinsulinemic diets and colorectal cancer risk with the use of an empirical dietary index for hyperinsulinemia (EDIH), a food-based index that characterizes dietary insulinemic potential on the basis of circulating C-peptide concentrations. Design Diet was assessed every 4 y with food-frequency questionnaires in 46,210 men (Health Professionals Follow-Up Study, 1986-2012) and 74,191 women (Nurses' Health Study, 1984-2012) to calculate EDIH scores. Multivariable-adjusted Cox regression was used to calculate HRs and 95% CIs for colorectal, proximal/distal colon, and rectal cancer risk. Results During 26 y of follow-up, we documented 2683 incident colorectal cancer cases. Comparing participants in the highest with those in the lowest quintiles, higher EDIH scores were associated with 33% (men: HR: 1.33; 95% CI: 1.11, 1.61; P-trend = 0.0005), 22% (women: HR: 1.22; 95% CI: 1.03, 1.45; P-trend = 0.01), and 26% (men and women: pooled HR: 1.26; 95% CI: 1.12, 1.42; P-trend <0.0001) higher risk of developing colorectal cancer. The positive associations were limited to the distal colon and rectum in men and to the distal and proximal colon in women; however, combined risk estimates were significant for all anatomic locations except for the rectum. For example, comparing participants in extreme EDIH quintiles, there was no significant association for proximal colon cancer in men (HR: 1.15; 95% CI: 0.84, 1.57; P-trend = 0.32), but the risk was elevated for distal colon (HR: 1.63; 95% CI: 1.14, 2.32; P-trend = 0.002) and rectal (HR: 1.63; 95% CI: 1.09, 2.44; P-trend = 0.01) cancer. Among women, the risk was elevated for proximal (HR: 1.28; 95% CI: 1.00, 1.63; P-trend = 0.03) and distal (HR: 1.46; 95% CI: 1.05, 2.03; P-trend = 0.03) colon cancer but not for rectal cancer (HR: 0.88; 95% CI: 0.60, 1.29; P-trend = 0.61). Conclusion The findings suggest that the insulinemic potential of diet may partly underlie the influence of dietary intake on colorectal cancer development. This observational study was registered at www.clinicaltrials.gov as NCT03364582.
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Affiliation(s)
- Fred K Tabung
- Departments of Nutrition, Harvard TH Chan School of Public Health, Boston, MA,Departments of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA,Address correspondence to FKT (e-mail: )
| | - Weike Wang
- Departments of Nutrition, Harvard TH Chan School of Public Health, Boston, MA,Departments of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA
| | - Teresa T Fung
- Departments of Nutrition, Harvard TH Chan School of Public Health, Boston, MA,Department of Nutrition, Simmons College, Boston, MA
| | - Stephanie A Smith-Warner
- Departments of Nutrition, Harvard TH Chan School of Public Health, Boston, MA,Departments of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA
| | - NaNa Keum
- Departments of Nutrition, Harvard TH Chan School of Public Health, Boston, MA,Department of Food Science and Biotechnology, Dongguk University, Goyang, South Korea
| | - Kana Wu
- Departments of Nutrition, Harvard TH Chan School of Public Health, Boston, MA
| | - Charles S Fuchs
- Smilow Cancer Hospital at Yale University Cancer Center, New Haven, CT,Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA
| | - Frank B Hu
- Departments of Nutrition, Harvard TH Chan School of Public Health, Boston, MA,Departments of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA
| | - Edward L Giovannucci
- Departments of Nutrition, Harvard TH Chan School of Public Health, Boston, MA,Departments of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA
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27
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Shields BM, McDonald TJ, Oram R, Hill A, Hudson M, Leete P, Pearson ER, Richardson SJ, Morgan NG, Hattersley AT, Roep BO, Tree TI, Hammersley S, Bolt R, Hill AV. C-Peptide Decline in Type 1 Diabetes Has Two Phases: An Initial Exponential Fall and a Subsequent Stable Phase. Diabetes Care 2018; 41:1486-1492. [PMID: 29880650 PMCID: PMC6027962 DOI: 10.2337/dc18-0465] [Citation(s) in RCA: 61] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2018] [Accepted: 04/16/2018] [Indexed: 02/03/2023]
Abstract
OBJECTIVE The decline in C-peptide in the 5 years after diagnosis of type 1 diabetes has been well studied, but little is known about the longer-term trajectory. We aimed to examine the association between log-transformed C-peptide levels and the duration of diabetes up to 40 years after diagnosis. RESEARCH DESIGN AND METHODS We assessed the pattern of association between urinary C-peptide/creatinine ratio (UCPCR) and duration of diabetes in cross-sectional data from 1,549 individuals with type 1 diabetes using nonlinear regression approaches. Findings were replicated in longitudinal follow-up data for both UCPCR (n = 161 individuals, 326 observations) and plasma C-peptide (n = 93 individuals, 473 observations). RESULTS We identified two clear phases of C-peptide decline: an initial exponential fall over 7 years (47% decrease/year [95% CI -51, -43]) followed by a stable period thereafter (+0.07%/year [-1.3, +1.5]). The two phases had similar durations and slopes in patients above and below the median age at diagnosis (10.8 years), although levels were lower in the younger patients irrespective of duration. Patterns were consistent in both longitudinal UCPCR (n = 162; ≤7 years duration: -48%/year [-55, -38]; >7 years duration -0.1% [-4.1, +3.9]) and plasma C-peptide (n = 93; >7 years duration only: -2.6% [-6.7, +1.5]). CONCLUSIONS These data support two clear phases of C-peptide decline: an initial exponential fall over a 7-year period, followed by a prolonged stabilization where C-peptide levels no longer decline. Understanding the pathophysiological and immunological differences between these two phases will give crucial insights into understanding β-cell survival.
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Affiliation(s)
- Beverley M. Shields
- National Institute for Health Research Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K
| | | | - Richard Oram
- National Institute for Health Research Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K
| | - Anita Hill
- National Institute for Health Research Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K
| | - Michelle Hudson
- National Institute for Health Research Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K
| | - Pia Leete
- Islet Biology Exeter (IBEx), Institute of Biomedical and Clinical Sciences, University of Exeter Medical School, Exeter, U.K
| | - Ewan R. Pearson
- Division of Molecular & Clinical Medicine, School of Medicine, University of Dundee, Dundee, U.K
| | - Sarah J. Richardson
- Islet Biology Exeter (IBEx), Institute of Biomedical and Clinical Sciences, University of Exeter Medical School, Exeter, U.K
| | - Noel G. Morgan
- Islet Biology Exeter (IBEx), Institute of Biomedical and Clinical Sciences, University of Exeter Medical School, Exeter, U.K
| | - Andrew T. Hattersley
- National Institute for Health Research Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K
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28
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Dennis JM, Shields BM, Hill AV, Knight BA, McDonald TJ, Rodgers LR, Weedon MN, Henley WE, Sattar N, Holman RR, Pearson ER, Hattersley AT, Jones AG. Precision Medicine in Type 2 Diabetes: Clinical Markers of Insulin Resistance Are Associated With Altered Short- and Long-term Glycemic Response to DPP-4 Inhibitor Therapy. Diabetes Care 2018; 41:705-712. [PMID: 29386249 PMCID: PMC6591121 DOI: 10.2337/dc17-1827] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Accepted: 12/28/2017] [Indexed: 02/03/2023]
Abstract
OBJECTIVE A precision approach to type 2 diabetes therapy would aim to target treatment according to patient characteristics. We examined if measures of insulin resistance and secretion were associated with glycemic response to dipeptidyl peptidase 4 (DPP-4) inhibitor therapy. RESEARCH DESIGN AND METHODS We evaluated whether markers of insulin resistance and insulin secretion were associated with 6-month glycemic response in a prospective study of noninsulin-treated participants starting DPP-4 inhibitor therapy (Predicting Response to Incretin Based Agents [PRIBA] study; n = 254), with replication for routinely available markers in U.K. electronic health care records (Clinical Practice Research Datalink [CPRD]; n = 23,001). In CPRD, we evaluated associations between baseline markers and 3-year durability of response. To test the specificity of findings, we repeated analyses for glucagon-like peptide 1 (GLP-1) receptor agonists (PRIBA, n = 339; CPRD, n = 4,464). RESULTS In PRIBA, markers of higher insulin resistance (higher fasting C-peptide [P = 0.03], HOMA2 insulin resistance [P = 0.01], and triglycerides [P < 0.01]) were associated with reduced 6-month HbA1c response to DPP-4 inhibitors. In CPRD, higher triglycerides and BMI were associated with reduced HbA1c response (both P < 0.01). A subgroup defined by obesity (BMI ≥30 kg/m2) and high triglycerides (≥2.3 mmol/L) had reduced 6-month response in both data sets (PRIBA HbA1c reduction 5.3 [95% CI 1.8, 8.6] mmol/mol [0.5%] [obese and high triglycerides] vs. 11.3 [8.4, 14.1] mmol/mol [1.0%] [nonobese and normal triglycerides]; P = 0.01). In CPRD, the obese, high- triglycerides subgroup also had less durable response (hazard ratio 1.28 [1.16, 1.41]; P < 0.001). There was no association between markers of insulin resistance and response to GLP-1 receptor agonists. CONCLUSIONS Markers of higher insulin resistance are consistently associated with reduced glycemic response to DPP-4 inhibitors. This finding provides a starting point for the application of a precision diabetes approach to DPP-4 inhibitor therapy.
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Affiliation(s)
- John M Dennis
- Health Statistics Group, University of Exeter Medical School, Exeter, U.K
| | - Beverley M Shields
- National Institute for Health Research Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K
| | - Anita V Hill
- National Institute for Health Research Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K
| | - Bridget A Knight
- National Institute for Health Research Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K
| | - Timothy J McDonald
- National Institute for Health Research Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K.,Blood Sciences, Royal Devon and Exeter Hospital, Exeter, U.K
| | - Lauren R Rodgers
- Health Statistics Group, University of Exeter Medical School, Exeter, U.K
| | - Michael N Weedon
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K
| | - William E Henley
- Health Statistics Group, University of Exeter Medical School, Exeter, U.K
| | - Naveed Sattar
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, U.K
| | - Rury R Holman
- Diabetes Trials Unit, Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, U.K
| | - Ewan R Pearson
- Division of Molecular & Clinical Medicine, Ninewells Hospital and Medical School, University of Dundee, Dundee, U.K
| | - Andrew T Hattersley
- National Institute for Health Research Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K
| | - Angus G Jones
- National Institute for Health Research Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K.
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Clissold RL, Fulford J, Hudson M, Shields BM, McDonald TJ, Ellard S, Hattersley AT, Bingham C. Exocrine pancreatic dysfunction is common in hepatocyte nuclear factor 1β-associated renal disease and can be symptomatic. Clin Kidney J 2018; 11:453-458. [PMID: 30094008 PMCID: PMC6070112 DOI: 10.1093/ckj/sfx150] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Accepted: 11/22/2017] [Indexed: 12/17/2022] Open
Abstract
Background Heterozygous mutations in the HNF1B gene are the most common monogenic cause of developmental kidney disease. Extrarenal phenotypes frequently occur, including diabetes mellitus and pancreatic hypoplasia; the latter is associated with subclinical exocrine dysfunction. We measured faecal elastase-1 in patients with HNF1B-associated disease regardless of diabetes status and assessed the degree of symptoms associated with pancreatic exocrine deficiency. Methods Faecal elastase-1 was measured in 29 patients with a known HNF1B mutation. We defined a low faecal elastase-1 concentration based on the 2.5 percentile of 99 healthy control individuals (410 μg/g stool). Symptoms related to pancreatic exocrine dysfunction were assessed and a subset of the HNF1B cohort (n = 6) underwent pancreatic imaging. Results Faecal elastase-1 was below the 2.5 percentile of the control cohort in 18/29 (62%) patients with HNF1B-associated renal disease. A total of 8/29 (28%) had a measurement suggestive of exocrine pancreatic insufficiency at <200 μg/g stool; of these, 3 suffered with abdominal pain, loose stools and/or unintentional weight loss. All three experienced symptomatic improvement and weight gain after commencing pancreatic enzyme replacement therapy. Faecal elastase-1 was low in 7/15 (47%) HNF1B patients without diabetes compared with 11/14 (79%) of those with diabetes (P = 0.1). Conclusions Faecal elastase-1 deficiency is a common feature of HNF1B-associated renal disease even when diabetes is not present and pancreatic exocrine deficiency may be more symptomatic than previously suggested. Faecal elastase-1 should be measured in all patients with known HNF1B-associated disease complaining of chronic abdominal pain, loose stools or unintentional weight loss. The discovery of a low faecal elastase-1 concentration in individuals with developmental kidney disease of uncertain cause should prompt referral for HNF1B genetic testing.
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Affiliation(s)
- Rhian L Clissold
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK.,National Institute for Health Research Exeter Clinical Research Facility, Royal Devon and Exeter National Health Service Foundation Trust, Exeter, UK
| | - Jon Fulford
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK.,National Institute for Health Research Exeter Clinical Research Facility, Royal Devon and Exeter National Health Service Foundation Trust, Exeter, UK
| | - Michelle Hudson
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK.,National Institute for Health Research Exeter Clinical Research Facility, Royal Devon and Exeter National Health Service Foundation Trust, Exeter, UK
| | - Beverley M Shields
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Timothy J McDonald
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Sian Ellard
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK
| | - Andrew T Hattersley
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK.,National Institute for Health Research Exeter Clinical Research Facility, Royal Devon and Exeter National Health Service Foundation Trust, Exeter, UK
| | - Coralie Bingham
- Exeter Kidney Unit, Royal Devon and Exeter National Health Service Foundation Trust, Exeter, UK
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30
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Markoska A, Valaiyapathi R, Thorn C, Dornhorst A. Urinary C peptide creatinine ratio in pregnant women with normal glucose tolerance and type 1 diabetes: evidence for insulin secretion. BMJ Open Diabetes Res Care 2017; 5:e000313. [PMID: 28090333 PMCID: PMC5223643 DOI: 10.1136/bmjdrc-2016-000313] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2016] [Revised: 09/29/2016] [Accepted: 10/25/2016] [Indexed: 11/18/2022] Open
Abstract
HYPOTHESIS In pregnancy, urinary C peptide creatinine ratio (UCPCR) reflects endogenous insulin secretion in women with normal glucose tolerance and type 1 diabetes. RESEARCH DESIGN AND METHODS UCPCR and serum C peptide were measured in 90 glucose-tolerant women at 0 and 120 min during a 75 g oral glucose tolerance test (OGTT) at 28 weeks of gestation. UCPCR was measured in 2 samples obtained over 10 weeks apart in 7 pregnant women with longstanding type 1 diabetes. RESULTS UCPCROGTT and serum C peptideOGTT of glucose-tolerant women were significantly correlated at 0 and 120 min (rs0.675, 0.541 respectively, p<0.0001). All 7 pregnant women with type 1 diabetes had detectable first sample UCPCR (median (range) 49 (6-1038) pmol/mmol) that rose in 6 women by 477 (29-1491) pmol/mmol. CONCLUSIONS Detectable UCPCR in pregnant women with normal glucose tolerance and type 1 diabetes is likely to reflect endogenous insulin secretion and hence β-cell activity.
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Affiliation(s)
- Ankica Markoska
- Faculty of Medicine, Department of Investigative Medicine , Hammersmith Hospital, Imperial College London , London , UK
| | - Rajalakshmi Valaiyapathi
- Faculty of Medicine, Department of Investigative Medicine , Hammersmith Hospital, Imperial College London , London , UK
| | - Chloe Thorn
- Faculty of Medicine, Department of Investigative Medicine , Hammersmith Hospital, Imperial College London , London , UK
| | - Anne Dornhorst
- Faculty of Medicine, Department of Investigative Medicine , Hammersmith Hospital, Imperial College London , London , UK
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31
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Ambery P, Donaldson J, Parkin J, Austin DJ. Urinary C-peptide analysis in an intervention study: experience from the DEFEND-2 otelixizumab trial. Diabet Med 2016; 33:1559-1563. [PMID: 26871270 DOI: 10.1111/dme.13095] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 02/09/2016] [Indexed: 01/07/2023]
Abstract
AIMS To demonstrate that analysis of urinary C-peptide across multiple study sites in the context of an intervention trial (DEFEND-2) is a viable alternative to mixed meal testing and delivers results that correlate to mixed meal testing estimation of endogenous insulin production. METHODS Second morning void urine was collected for analysis and was available from 161 subjects at baseline (55 placebo, 106 otelixizumab), and 146 subjects (47 placebo, 99 otelixizumab) at month 12. Urinary C-peptide concentration was corrected for urinary creatinine [urinary C-peptide/creatinine ratio (UCPCR)] and serum C-peptide from the mixed meal tolerance test was calculated using area under the plasma concentration-time curve (AUC) normalized over 120 min. The correlation between mixed meal stimulated C-peptide AUC (mmol/l/min) and UCPCR (nmol/mmol), as well as the correlation between insulin use (IU/kg), and HbA1c (%) with UCPCR, was determined. RESULTS UCPCR and mixed meal testing C-peptide AUC were correlated, with a correlation coefficient of 0.4172. UCPCR was not correlated with exogenous insulin use (r = -0.089) or with HbA1c (r = -0.032). CONCLUSIONS Urinary C-peptide estimation should be considered as a measure of endogenous insulin production in future Type 1 diabetes mellitus outcome trials. A change in the timing for urine collection (to 120 min post standard meal) may provide a tighter correlation to C-peptide measured via a traditional mixed meal test.
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Affiliation(s)
- P Ambery
- Department of Endocrinology and Diabetes, Addenbrooke's Hospital, Cambridge, UK.
| | - J Donaldson
- Research and Development, GlaxoSmithKline, Uxbridge, UK
| | - J Parkin
- Research and Development, GlaxoSmithKline, Uxbridge, UK
| | - D J Austin
- Research and Development, GlaxoSmithKline, Uxbridge, UK
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Tatovic D, Luzio S, Dunseath G, Liu Y, Alhadj Ali M, Peakman M, Dayan CM. Stimulated urine C-peptide creatinine ratio vs serum C-peptide level for monitoring of β-cell function in the first year after diagnosis of Type 1 diabetes. Diabet Med 2016; 33:1564-1568. [PMID: 27425010 DOI: 10.1111/dme.13186] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/14/2016] [Indexed: 12/11/2022]
Abstract
AIMS To determine if urine C-peptide/creatinine ratio is a useful tool for monitoring β-cell function in new-onset Type 1 diabetes. METHODS Data were obtained from a prospective immunomodulation study in people with Type 1 diabetes ≤ 3 months from diagnosis, with a standard mixed-meal tolerance test and measurement of urine C-peptide/creatinine ratio carried out at 0, 3, 6, 9 and 12 months. The change in the insulin-dose-adjusted HbA1c level was also correlated with the change in serum/urine C-peptide level during the 12-month follow-up period. RESULTS A significant reduction in urine C-peptide/creatinine ratio, measured after a mixed-meal, was reached at 9 months (-45.4%), whilst the reduction in stimulated serum C-peptide level reached significance after 3 months (-54.7%) in placebo-treated participants. Neither change in stimulated serum C-peptide nor change in urine C-peptide level correlated with each other, and nor did change in insulin-dose-adjusted HbA1c level in the first 6 months, but all measures correlated significantly in the second half of the 12-month follow-up period. CONCLUSION Mixed-meal-stimulated urine C-peptide/creatinine ratio was similar to, although less sensitive than, stimulated serum C-peptide level in monitoring β-cell function during the first year after diagnosis. Because the former is significantly less invasive, it warrants inclusion in further studies in Type 1 diabetes and may represent an attractive alternative outcome measure in cohort studies and in children.
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Affiliation(s)
- D Tatovic
- Diabetes Research Group, Division of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK.
| | - S Luzio
- Institute for Life Sciences, Swansea University, Swansea, UK
| | - G Dunseath
- Institute for Life Sciences, Swansea University, Swansea, UK
| | - Y Liu
- Department of Immunobiology, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - M Alhadj Ali
- Diabetes Research Group, Division of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK
| | - M Peakman
- Department of Immunobiology, Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - C M Dayan
- Diabetes Research Group, Division of Infection and Immunity, Cardiff University School of Medicine, Cardiff, UK
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Hope SV, Knight BA, Shields BM, Hattersley AT, McDonald TJ, Jones AG. Random non-fasting C-peptide: bringing robust assessment of endogenous insulin secretion to the clinic. Diabet Med 2016; 33:1554-1558. [PMID: 27100275 PMCID: PMC5226330 DOI: 10.1111/dme.13142] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 04/19/2016] [Indexed: 11/29/2022]
Abstract
BACKGROUND Measuring endogenous insulin secretion using C-peptide can assist diabetes management, but standard stimulation tests are impractical for clinical use. Random non-fasting C-peptide assessment would allow testing when a patient is seen in clinic. METHODS We compared C-peptide at 90 min in the mixed meal tolerance test (sCP) with random non-fasting blood C-peptide (rCP) and random non-fasting urine C-peptide creatinine ratio (rUCPCR) in 41 participants with insulin-treated diabetes [median age 72 (interquartile range 68-78); diabetes duration 21 (14-31) years]. We assessed sensitivity and specificity for previously reported optimal mixed meal test thresholds for severe insulin deficiency (sCP < 200 pmol//l) and Type 1 diabetes/inability to withdraw insulin (< 600 pmol//l), and assessed the impact of concurrent glucose. RESULTS rCP and sCP levels were similar (median 546 and 487 pmol//l, P = 0.92). rCP was highly correlated with sCP, r = 0.91, P < 0.0001, improving to r = 0.96 when excluding samples with concurrent glucose < 8 mmol//l. An rCP cut-off of 200 pmol//l gave 100% sensitivity and 93% specificity for detecting severe insulin deficiency, with area under the receiver operating characteristic curve of 0.99. rCP < 600 pmol//l gave 87% sensitivity and 83% specificity to detect sCP < 600 pmol//l. Specificity improved to 100% when excluding samples with concurrent glucose < 8 mmol//l. rUCPCR (0.52 nmol/mmol) was also well-correlated with sCP, r = 0.82, P < 0.0001. A rUCPCR cut-off of < 0.2 nmol/ mmol gave sensitivity and specificity of 83% and 93% to detect severe insulin deficiency, with area under the receiver operating characteristic curve of 0.98. CONCLUSIONS Random non-fasting C-peptide measures are strongly correlated with mixed meal C-peptide, and have high sensitivity and specificity for identifying clinically relevant thresholds. These tests allow assessment of C-peptide at the point patients are seen for clinical care.
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Affiliation(s)
- S V Hope
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, UK
- Department of Geriatrics, Royal Devon & Exeter NHS Foundation Trust, Exeter, UK
| | - B A Knight
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, UK
| | - B M Shields
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, UK
| | - A T Hattersley
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, UK
- Department of Diabetes & Endocrinology, Royal Devon & Exeter NHS Foundation Trust, Exeter, UK
| | - T J McDonald
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, UK
- Department of Blood Sciences, Royal Devon & Exeter NHS Foundation Trust, Exeter, UK
| | - A G Jones
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, UK.
- Department of Diabetes & Endocrinology, Royal Devon & Exeter NHS Foundation Trust, Exeter, UK.
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34
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Shepherd M, Shields B, Hammersley S, Hudson M, McDonald TJ, Colclough K, Oram RA, Knight B, Hyde C, Cox J, Mallam K, Moudiotis C, Smith R, Fraser B, Robertson S, Greene S, Ellard S, Pearson ER, Hattersley AT. Systematic Population Screening, Using Biomarkers and Genetic Testing, Identifies 2.5% of the U.K. Pediatric Diabetes Population With Monogenic Diabetes. Diabetes Care 2016; 39:1879-1888. [PMID: 27271189 PMCID: PMC5018394 DOI: 10.2337/dc16-0645] [Citation(s) in RCA: 148] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/23/2016] [Accepted: 05/09/2016] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Monogenic diabetes is rare but is an important diagnosis in pediatric diabetes clinics. These patients are often not identified as this relies on the recognition of key clinical features by an alert clinician. Biomarkers (islet autoantibodies and C-peptide) can assist in the exclusion of patients with type 1 diabetes and allow systematic testing that does not rely on clinical recognition. Our study aimed to establish the prevalence of monogenic diabetes in U.K. pediatric clinics using a systematic approach of biomarker screening and targeted genetic testing. RESEARCH DESIGN AND METHODS We studied 808 patients (79.5% of the eligible population) <20 years of age with diabetes who were attending six pediatric clinics in South West England and Tayside, Scotland. Endogenous insulin production was measured using the urinary C-peptide creatinine ratio (UCPCR). C-peptide-positive patients (UCPCR ≥0.2 nmol/mmol) underwent islet autoantibody (GAD and IA2) testing, with patients who were autoantibody negative undergoing genetic testing for all 29 identified causes of monogenic diabetes. RESULTS A total of 2.5% of patients (20 of 808 patients) (95% CI 1.6-3.9%) had monogenic diabetes (8 GCK, 5 HNF1A, 4 HNF4A, 1 HNF1B, 1 ABCC8, 1 INSR). The majority (17 of 20 patients) were managed without insulin treatment. A similar proportion of the population had type 2 diabetes (3.3%, 27 of 808 patients). CONCLUSIONS This large systematic study confirms a prevalence of 2.5% of patients with monogenic diabetes who were <20 years of age in six U.K. clinics. This figure suggests that ∼50% of the estimated 875 U.K. pediatric patients with monogenic diabetes have still not received a genetic diagnosis. This biomarker screening pathway is a practical approach that can be used to identify pediatric patients who are most appropriate for genetic testing.
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Affiliation(s)
- Maggie Shepherd
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K. .,Exeter National Institute for Health Research Clinical Research Facility, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - Beverley Shields
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K
| | - Suzanne Hammersley
- Exeter National Institute for Health Research Clinical Research Facility, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - Michelle Hudson
- Exeter National Institute for Health Research Clinical Research Facility, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - Timothy J McDonald
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K.,Blood Sciences, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - Kevin Colclough
- Molecular Genetics Laboratory, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - Richard A Oram
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K
| | - Bridget Knight
- Exeter National Institute for Health Research Clinical Research Facility, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - Christopher Hyde
- Exeter Test Group, Institute of Health Research, University of Exeter Medical School, Exeter, U.K
| | - Julian Cox
- Department of Paediatrics, Northern Devon Healthcare NHS Trust, Barnstaple, U.K
| | - Katherine Mallam
- Department of Paediatrics, Royal Cornwall Hospitals NHS Trust, Truro, U.K
| | | | - Rebecca Smith
- Children & Young People's Outpatient Department, Plymouth Hospitals NHS Trust, Plymouth, U.K
| | - Barbara Fraser
- Department of Paediatrics, South Devon Healthcare NHS Foundation Trust, Torquay, U.K
| | - Simon Robertson
- Department of Paediatrics, Royal Cornwall Hospitals NHS Trust, Truro, U.K
| | - Stephen Greene
- Child Health, School of Medicine, University of Dundee, Ninewells Hospital & Medical School, Dundee, Scotland, U.K
| | - Sian Ellard
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K
| | - Ewan R Pearson
- Division of Cardiovascular & Diabetes Medicine, School of Medicine, University of Dundee, Dundee, U.K
| | - Andrew T Hattersley
- Institute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K
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Amed S, Oram R. Maturity-Onset Diabetes of the Young (MODY): Making the Right Diagnosis to Optimize Treatment. Can J Diabetes 2016; 40:449-454. [DOI: 10.1016/j.jcjd.2016.03.002] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/22/2015] [Revised: 01/05/2016] [Accepted: 03/01/2016] [Indexed: 12/21/2022]
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Affiliation(s)
- Johnny Ludvigsson
- Department of Clinical and Experimental Medicine, University Hospital, Linkoping University, Linköping, Sweden
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37
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Levitt Katz LE. C-Peptide and 24-Hour Urinary C-Peptide as Markers to Help Classify Types of Childhood Diabetes. Horm Res Paediatr 2016; 84:62-4. [PMID: 26045021 DOI: 10.1159/000430094] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Affiliation(s)
- Lorraine E Levitt Katz
- Division of Endocrinology and Diabetes, The Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pa., USA
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Yılmaz Agladioglu S, Sagsak E, Aycan Z. Urinary C-Peptide/Creatinine Ratio Can Distinguish Maturity-Onset Diabetes of the Young from Type 1 Diabetes in Children and Adolescents: A Single-Center Experience. Horm Res Paediatr 2016; 84:54-61. [PMID: 25792383 DOI: 10.1159/000375410] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2014] [Accepted: 01/16/2015] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND The urinary C-peptide/creatinine ratio (UCPCR) and fasting C-peptide level can assess beta-cell function in clinical practice. In the present study, the use of the UCPCR and fasting C-peptide levels was investigated in the differential diagnosis between maturity-onset diabetes of the young (MODY) and type 1 diabetes mellitus (T1DM). METHODS Twenty-seven patients with genetically confirmed MODY by next-generation sequence analysis and 42 children with T1DM were included. C-peptide levels were measured after an overnight fast before breakfast, and urine samples were collected 2 h after a standard lunch in the hospital. RESULTS The UCPCR in the T1DM group was 0.17 ± 0.5 nmol/mmol, and in the MODY group it was 1.27 ± 1.03 nmol/mmol (p = 0.001). The receiver operating characteristic (ROC) curves showed excellent discrimination (area under the curve 0.93). A UCPCR ≥0.22 nmol/mmol yielded a 96.3% sensitivity and an 85.7% specificity. The fasting C-peptide level in the T1DM group was lower than that in the MODY group (p = 0.001). The fasting C-peptide cutoff determined by ROC curve analysis was 0.62 ng/ml, with a sensitivity of 93% and a specificity of 90% for discriminating between MODY and T1DM. CONCLUSIONS We showed that the UCPCR and fasting C-peptide levels in children and adolescents can distinguish patients with MODY from patients with T1DM with high specificity and sensitivity. A value of UCPCR ≥0.22 nmol/mmol may indicate further genetic testing for MODY.
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Affiliation(s)
- Sebahat Yılmaz Agladioglu
- Pediatric Endocrinology Clinic, Dr. Sami Ulus Children's Health and Disease Training and Research Hospital, Ankara, Turkey
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39
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Jainandunsing S, Wattimena JLD, Rietveld T, van Miert JNI, Sijbrands EJG, de Rooij FWM. Post-glucose-load urinary C-peptide and glucose concentration obtained during OGTT do not affect oral minimal model-based plasma indices. Endocrine 2016; 52:253-62. [PMID: 26526605 PMCID: PMC4824812 DOI: 10.1007/s12020-015-0765-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2015] [Accepted: 09/28/2015] [Indexed: 11/25/2022]
Abstract
The purpose of this study was to investigate how renal loss of both C-peptide and glucose during oral glucose tolerance test (OGTT) relate to and affect plasma-derived oral minimal model (OMM) indices. All individuals were recruited during family screening between August 2007 and January 2011 and underwent a 3.5-h OGTT, collecting nine plasma samples and urine during OGTT. We obtained the following three subgroups: normoglycemic, at risk, and T2D. We recruited South Asian and Caucasian families, and we report separate analyses if differences occurred. Plasma glucose, insulin, and C-peptide concentrations were analyzed as AUCs during OGTT, OMM estimate of renal C-peptide secretion, and OMM beta-cell and insulin sensitivity indices were calculated to obtain disposition indices. Post-glucose load glucose and C-peptide in urine were measured and related to plasma-based indices. Urinary glucose corresponded well with plasma glucose AUC (Cau r = 0.64, P < 0.01; SA r = 0.69, P < 0.01), S I (Cau r = -0.51, P < 0.01; SA r = -0.41, P < 0.01), Φ dynamic (Cau r = -0.41, P < 0.01; SA r = -0.57, P < 0.01), and Φ oral (Cau r = -0.61, P < 0.01; SA r = -0.73, P < 0.01). Urinary C-peptide corresponded well to plasma C-peptide AUC (Cau r = 0.45, P < 0.01; SA r = 0.33, P < 0.05) and OMM estimate of renal C-peptide secretion (r = 0.42, P < 0.01). In general, glucose excretion plasma threshold for the presence of glucose in urine was ~10-10.5 mmol L(-1) in non-T2D individuals, but not measurable in T2D individuals. Renal glucose secretion during OGTT did not influence OMM indices in general nor in T2D patients (renal clearance range 0-2.1 %, with median 0.2 % of plasma glucose AUC). C-indices of urinary glucose to detect various stages of glucose intolerance were excellent (Cau 0.83-0.98; SA 0.75-0.89). The limited role of renal glucose secretion validates the neglecting of urinary glucose secretion in kinetic models of glucose homeostasis using plasma glucose concentrations. Both C-peptide and glucose in urine collected during OGTT might be used as non-invasive measures for endogenous insulin secretion and glucose tolerance state.
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Affiliation(s)
- Sjaam Jainandunsing
- Department of Internal Medicine, Erasmus MC - University Medical Center Rotterdam, Room Na-512, PO-box 2040, 3000 CA, Rotterdam, The Netherlands
| | - J L Darcos Wattimena
- Department of Internal Medicine, Erasmus MC - University Medical Center Rotterdam, Room Na-512, PO-box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Trinet Rietveld
- Department of Internal Medicine, Erasmus MC - University Medical Center Rotterdam, Room Na-512, PO-box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Joram N I van Miert
- Department of Internal Medicine, Erasmus MC - University Medical Center Rotterdam, Room Na-512, PO-box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Eric J G Sijbrands
- Department of Internal Medicine, Erasmus MC - University Medical Center Rotterdam, Room Na-512, PO-box 2040, 3000 CA, Rotterdam, The Netherlands
| | - Felix W M de Rooij
- Department of Internal Medicine, Erasmus MC - University Medical Center Rotterdam, Room Na-512, PO-box 2040, 3000 CA, Rotterdam, The Netherlands.
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Practical Classification Guidelines for Diabetes in patients treated with insulin: a cross-sectional study of the accuracy of diabetes diagnosis. Br J Gen Pract 2016; 66:e315-22. [PMID: 27080317 PMCID: PMC4838443 DOI: 10.3399/bjgp16x684961] [Citation(s) in RCA: 48] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2015] [Accepted: 12/23/2015] [Indexed: 12/17/2022] Open
Abstract
Background Differentiating between type 1 and type 2 diabetes is fundamental to ensuring appropriate management of patients, but can be challenging, especially when treating with insulin. The 2010 UK Practical Classification Guidelines for Diabetes were developed to help make the differentiation. Aim To assess diagnostic accuracy of the UK guidelines against ‘gold standard’ definitions of type 1 and type 2 diabetes based on measured C-peptide levels. Design and setting In total, 601 adults with insulin-treated diabetes and diabetes duration ≥5 years were recruited in Devon, Northamptonshire, and Leicestershire. Method Baseline information and home urine sample were collected. Urinary C-peptide creatinine ratio (UCPCR) measures endogenous insulin production. Gold standard type 1 diabetes was defined as continuous insulin treatment within 3 years of diagnosis and absolute insulin deficiency (UCPCR<0.2 nmol/mmol ≥5 years post-diagnosis); all others classed as having type 2 diabetes. Diagnostic performance of the clinical criteria was assessed and other criteria explored using receiver operating characteristic (ROC) curves. Results UK guidelines correctly classified 86% of participants. Most misclassifications occurred in patients classed as having type 1 diabetes who had significant endogenous insulin levels (57 out of 601; 9%); most in those diagnosed ≥35 years and treated with insulin from diagnosis, where 37 out of 66 (56%) were misclassified. Time to insulin and age at diagnosis performed best in predicting long-term endogenous insulin production (ROC AUC = 0.904 and 0.871); BMI was a less strong predictor of diabetes type (AUC = 0.824). Conclusion Current UK guidelines provide a pragmatic clinical approach to classification reflecting long-term endogenous insulin production; caution is needed in older patients commencing insulin from diagnosis, where misclassification rates are increased.
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Fleddermann M, Rauh-Pfeiffer A, Demmelmair H, Holdt L, Teupser D, Koletzko B. Effects of a Follow-On Formula Containing Isomaltulose (Palatinose™) on Metabolic Response, Acceptance, Tolerance and Safety in Infants: A Randomized-Controlled Trial. PLoS One 2016; 11:e0151614. [PMID: 26987056 PMCID: PMC4795687 DOI: 10.1371/journal.pone.0151614] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2015] [Accepted: 02/29/2016] [Indexed: 01/18/2023] Open
Abstract
Effects of the dietary glycaemic load on postprandial blood glucose and insulin response might be of importance for fat deposition and risk of obesity. We aimed to investigate the metabolic effects, acceptance and tolerance of a follow-on formula containing the low glycaemic and low insulinaemic carbohydrate isomaltulose replacing high glycaemic maltodextrin. Healthy term infants aged 4 to 8 completed months (n = 50) were randomized to receive the intervention follow-on formula (IF, 2.1g isomaltulose (Palatinose™)/100mL) or an isocaloric conventional formula (CF) providing 2.1g maltodextrin/100mL for four weeks. Plasma insulinaemia 60min after start of feeding (primary outcome) was not statistically different, while glycaemia adjusted for age and time for drinking/volume of meal 60min after start of feeding was 122(105,140) mg/dL in IF (median, interquartile range) and 111(100,123) in CF (p = 0.01). Urinary c-peptide:creatinine ratio did not differ (IF:81.5(44.7, 96.0) vs. CF:56.8(37.5, 129),p = 0.43). Urinary c-peptide:creatinine ratio was correlated total intake of energy (R = 0.31,p = 0.045), protein (R = 0.42,p = 0.006) and fat (R = 0.40,p = 0.01) but not with carbohydrate intake (R = 0.22,p = 0.16). Both formulae were well accepted without differences in time of crying, flatulence, stool characteristics and the occurrence of adverse events. The expected lower postprandial plasma insulin and blood glucose level due to replacement of high glycaemic maltodextrin by low glycaemic isomaltulose were not observed in the single time-point blood analysis. In infants aged 4 to 8 completed months fed a liquid formula, peak blood glucose might be reached earlier than 60min after start of feeding. Non-invasive urinary c-peptide measurements may be a suitable marker of nutritional intake during the previous four days in infants. Trial registration: ClinicalTrials.gov NCT01627015
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Affiliation(s)
- M. Fleddermann
- Dr. von Hauner Children`s Hospital, University of Munich Medical Centre, Munich, Germany
| | - A. Rauh-Pfeiffer
- Dr. von Hauner Children`s Hospital, University of Munich Medical Centre, Munich, Germany
| | - H. Demmelmair
- Dr. von Hauner Children`s Hospital, University of Munich Medical Centre, Munich, Germany
| | - L. Holdt
- Institute for Laboratory Medicine, University of Munich Medical Centre, Munich, Germany
| | - D. Teupser
- Institute for Laboratory Medicine, University of Munich Medical Centre, Munich, Germany
| | - B. Koletzko
- Dr. von Hauner Children`s Hospital, University of Munich Medical Centre, Munich, Germany
- * E-mail:
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McDonald TJ, Perry MH. Detection of C-Peptide in Urine as a Measure of Ongoing Beta Cell Function. Methods Mol Biol 2016; 1433:93-102. [PMID: 27083170 DOI: 10.1007/7651_2016_330] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
C-peptide is a protein secreted by the pancreatic beta cells in equimolar quantities with insulin, following the cleavage of proinsulin into insulin. Measurement of C-peptide is used as a surrogate marker of endogenous insulin secretory capacity. Assessing C-peptide levels can be useful in classifying the subtype of diabetes as well as assessing potential treatment choices in the management of diabetes.Standard measures of C-peptide involve blood samples collected either fasted or, most often, after a fixed stimulus (such as oral glucose, mixed meal, or IV glucagon). Despite the established clinical utility of blood C-peptide measurement, its widespread use is limited. In many instances this is due to perceived practical restrictions associated with sample collection.Urine C-peptide measurement is an attractive noninvasive alternative to blood measures of beta-cell function. Urine C-peptide creatinine ratio measured in a single post stimulated sample has been shown to be a robust, reproducible measure of endogenous C-peptide which is stable for three days at room temperature when collected in boric acid. Modern high sensitivity immunoassay technologies have facilitated measurement of C-peptide down to single picomolar concentrations.
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Affiliation(s)
- T J McDonald
- Blood Sciences, Royal Devon and Exeter NHS Foundation Trust, Barrack Road, Exeter, EX2 5DW, UK. .,University of Exeter Medical School, RILD Building, Barrack Road, Exeter, EX2 5DW, UK.
| | - M H Perry
- Blood Sciences, Royal Devon and Exeter NHS Foundation Trust, Barrack Road, Exeter, EX2 5DW, UK
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Oram RA, McDonald TJ, Shields BM, Hudson MM, Shepherd MH, Hammersley S, Pearson ER, Hattersley AT. Most people with long-duration type 1 diabetes in a large population-based study are insulin microsecretors. Diabetes Care 2015; 38:323-8. [PMID: 25519449 PMCID: PMC5646646 DOI: 10.2337/dc14-0871] [Citation(s) in RCA: 77] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
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.
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Affiliation(s)
- Richard A Oram
- National Institute for Health Research, Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K
| | - Timothy J McDonald
- National Institute for Health Research, Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K. Department of Blood Sciences, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K
| | - Beverley M Shields
- National Institute for Health Research, Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K
| | - Michelle M Hudson
- National Institute for Health Research, Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K
| | - Maggie H Shepherd
- National Institute for Health Research, Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K
| | - Suzanne Hammersley
- National Institute for Health Research, Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K
| | - Ewan R Pearson
- Division of Cardiovascular and Diabetes Medicine, Medical Research Institute, Ninewells Hospital and Medical School, University of Dundee, Dundee, U.K
| | - Andrew T Hattersley
- National Institute for Health Research, Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K.
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Kavvoura FK, Raimondo A, Thanabalasingham G, Barrett A, Webster AL, Shears D, Mann NP, Ellard S, Gloyn AL, Owen KR. Reclassification of diabetes etiology in a family with multiple diabetes phenotypes. J Clin Endocrinol Metab 2014; 99:E1067-71. [PMID: 24606082 PMCID: PMC4186945 DOI: 10.1210/jc.2013-3641] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
BACKGROUND Maturity-onset diabetes of the young (MODY) is uncommon; however, accurate diagnosis facilitates personalized management and informs prognosis in probands and relatives. OBJECTIVE The objective of the study was to highlight that the appropriate use of genetic and nongenetic investigations leads to the correct classification of diabetes etiology. CASE DISCUSSION A 30-year-old European female was diagnosed with insulin-treated gestational diabetes. She discontinued insulin after delivery; however, her fasting hyperglycemia persisted. β-Cell antibodies were negative and C-peptide was 0.79 nmol/L. Glucokinase (GCK)-MODY was suspected and confirmed by the identification of a GCK mutation (p.T206M). METHODS Systematic clinical and biochemical characterization and GCK mutational analysis were implemented to determine the diabetes etiology in five relatives. Functional characterization of GCK mutations was performed. RESULTS Identification of the p.T206M mutation in the proband's sister confirmed a diagnosis of GCK-MODY. Her daughter was diagnosed at 16 weeks with permanent neonatal diabetes (PNDM). Mutation analysis identified two GCK mutations that were inherited in trans-p. [(R43P);(T206M)], confirming a diagnosis of GCK-PNDM. Both mutations were shown to be kinetically inactivating. The proband's mother, other sister, and daughter all had a clinical diagnosis of type 1 diabetes, confirmed by undetectable C-peptide levels and β-cell antibody positivity. GCK mutations were not detected. CONCLUSIONS Two previously misclassified family members were shown to have GCK-MODY, whereas another was shown to have GCK-PNDM. A diagnosis of type 1 diabetes was confirmed in three relatives. This family exemplifies the importance of careful phenotyping and systematic evaluation of relatives after discovering monogenic diabetes in an individual.
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Affiliation(s)
- Fotini K Kavvoura
- Oxford Centre for Diabetes, Endocrinology, and Metabolism (F.K.K., A.R., G.T., A.B., A.L.W., A.L.G., K.R.O.), University of Oxford, Oxford OX3 7LE, United Kingdom; Oxford National Institute for Health Research Biomedical Centre (F.K.K., G.T., A.L.G., K.R.O.), Churchill Hospital, Oxford OX3 7LJ, United Kingdom; Department of Clinical Genetics (D.S.), Oxford University Hospitals National Health Service Trust, Oxford OX3 9DU, United Kingdom; Department of Pediatrics (N.P.M.), Royal Berkshire National Health Service Foundation Trust, Reading RG1 5AN, United Kingdom; and Institute of Biomedical and Clinical Science (S.E.), University of Exeter Medical School, Exeter EX4 4PY, United Kingdom
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Oram RA, Brooks AM, Forbes S, Eckoldt S, Smith RM, Choudhary P, Rosenthal MJ, Johnson P, Rutter MK, Burling KA, McDonald TJ, Shaw JAM, Hattersley AT. Home urine C-peptide creatinine ratio can be used to monitor islet transplant function. Diabetes Care 2014; 37:1737-40. [PMID: 24623023 DOI: 10.2337/dc13-1266] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Islet graft function is defined by serum C-peptide in a standardized challenge test. We assessed whether urine C-peptide creatinine ratio (UCPCR) sent from home could provide a viable alternative. RESEARCH DESIGN AND METHODS Seventeen islet recipients provided 90-min serum C-peptide (sCP90) and 120-min UCPCR (UCPCR120) samples during 68 interval posttransplant mixed-meal tolerance tests, also posting from home a 120-min postbreakfast UCPCR sample every 2 weeks. UCPCR was compared with a clinical score of islet function, derived from HbA1c and insulin dose. RESULTS UCPCR120 and mean home postmeal UCPCR were strongly correlated with sCP90 (r(s) = 0.73, P < 0.001; and rs = 0.73, P < 0.01, respectively). Mean home UCPCR increased with clinical score (r(s) = 0.75; P < 0.001) and with graft function defined both by sCP90 >200 pmol/L and insulin independence. UCPCR cutoffs to detect insulin independence and poor graft function were sensitive and specific. CONCLUSIONS Home UCPCR provides a valid measure of C-peptide production in islet transplant recipients.
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Affiliation(s)
- Richard A Oram
- NIHR Exeter Clinical Research Facility, Exeter Medical School, U.K
| | - Augustin M Brooks
- Institute of Cellular Medicine, Newcastle University, Newcastle, U.K
| | - Shareen Forbes
- Royal Infirmary of Edinburgh and Endocrinology Unit, University of Edinburgh, Edinburgh, U.K
| | | | | | | | | | - Paul Johnson
- Oxford Centre for Diabetes Endocrinology and Metabolism, University of Oxford, Oxford, U.K
| | - Martin K Rutter
- Endocrinology and Diabetes Research Group, Institute of Human Development, Faculty of Medical and Human Sciences, University of Manchester, Manchester, U.K.Manchester Diabetes Centre, Central Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, U.K
| | - Keith A Burling
- NIHR Cambridge Biomedical Research Centre, Core Biochemical Assay Laboratory, Cambridge, U.K
| | | | - James A M Shaw
- Institute of Cellular Medicine, Newcastle University, Newcastle, U.K.
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Thong KY, McDonald TJ, Hattersley AT, Blann AD, Ramtoola S, Duncan C, Carr S, Adamson K, Nayak AU, Khurana R, Hunter SJ, Ali A, Au S, Ryder REJ. The association between postprandial urinary C-peptide creatinine ratio and the treatment response to liraglutide: a multi-centre observational study. Diabet Med 2014; 31:403-11. [PMID: 24246138 DOI: 10.1111/dme.12367] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2013] [Revised: 10/01/2013] [Accepted: 11/13/2013] [Indexed: 01/22/2023]
Abstract
AIMS The response to glucagon-like peptide 1 receptor agonist treatment may be influenced by endogenous β-cell function. We investigated whether urinary C-peptide creatinine ratio assessed before or during liraglutide treatment was associated with treatment response. METHODS A single, outpatient urine sample for urinary C-peptide creatinine ratio was collected 2 h after the largest meal of the day among two separate groups: (1) subjects initiating liraglutide (0.6 → 1.2 mg daily) or (2) subjects already treated with liraglutide for 20-32 weeks. The associations between pretreatment and on-treatment urinary C-peptide creatinine ratio and HbA1c change at 32 weeks were assessed using univariate and multivariate analyses (the ratio was logarithm transformed for multivariate analyses). Changes in HbA1c according to pretreatment urinary C-peptide creatinine ratio quartiles are shown. RESULTS One hundred and sixteen subjects (70 pretreatment, 46 on treatment) with Type 2 diabetes from 10 diabetes centres were studied. In univariate analyses, neither pretreatment nor on-treatment urinary C-peptide creatinine ratio correlated with HbA1c change (Spearman rank correlation coefficient, r = -0.17, P = 0.17 and r = -0.20, P = 0.19, respectively). In multi-linear regression analyses, entering baseline HbA1c and log urinary C-peptide creatinine ratio, pretreatment and on-treatment log urinary C-peptide creatinine ratio became significantly associated with HbA1c change (P = 0.048 and P = 0.040, respectively). Mean (sd) HbA1c changes from baseline in quartiles 1 to 4 of pretreatment urinary C-peptide creatinine ratio were -3 ± 17 mmol/mol (-0.3 ± 1.6%) (P = 0.52), -12 ± 15 mmol/mol (-1.1 ± 1.4%) (P = 0.003), -11 ± 13 mmol/mol (-1.0 ± 1.2%) (P = 0.002) and -12±17 mmol/mol (-1.1±1.6%) (P=0.016), respectively. CONCLUSIONS Postprandial urinary C-peptide creatinine ratios before and during liraglutide treatment were weakly associated with the glycaemic response to treatment. Low pretreatment urinary C-peptide creatinine ratio may be more useful than higher values by predicting poorer glycaemic response.
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Affiliation(s)
- K Y Thong
- Department of Diabetes, City Hospital, Birmingham, UK
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Park KH, Kim KJ, Lee BW, Kang ES, Cha BS, Lee HC. The effect of insulin resistance on postprandial triglycerides in Korean type 2 diabetic patients. Acta Diabetol 2014; 51:15-22. [PMID: 22854916 DOI: 10.1007/s00592-012-0420-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2012] [Accepted: 07/16/2012] [Indexed: 11/29/2022]
Abstract
We hypothesized that the influence of metabolic parameters depends on metabolic syndrome (MetS) status. The clinical and metabolic implications of postprandial triglyceride (ppTG) in Korean type 2 diabetes were investigated in the presence or absence of MetS, MetS+, or MetS-. To investigate the relationship between ppTG and metabolic parameters, we analyzed plasma TG levels in 126 newly diagnosed, drug-naïve diabetic patients after ingestion of a standardized low calorie and fat (500 kcal, 17.5 g fat) liquid meal formula. We report that MetS+ patients have significantly higher BMI, waist/hip ratio, HOMA-IR, and HOMA-β, but insignificantly higher fasting TG, ppTG, and ΔTG than MetS- patients. In the MetS+ patients, ppTG correlated with fasting TG and non-HDL, but was not related to HOMA-IR. In MetS- patients, ppTG correlated with fasting TG, non-HDL, blood pressure, waist/hip ratio, fasting C-peptide and insulin levels, and HOMA-IR. Multivariate analysis showed HOMA-IR to be a predictive factor for ppTG in MetS- patients but not in MetS+ patients. ppTG correlated with IR in MetS- type 2 diabetic patients but not in MetS+. This unexpected result implies that MetS+ diabetic patients already have high fasting TG and that IR influences fasting TG more dominantly than ppTG.
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Affiliation(s)
- Kyeong Hye Park
- Division of Endocrinology and Metabolism, Department of Internal Medicine, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752, Republic of Korea
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Oram RA, Jones AG, Besser REJ, Knight BA, Shields BM, Brown RJ, Hattersley AT, McDonald TJ. The majority of patients with long-duration type 1 diabetes are insulin microsecretors and have functioning beta cells. Diabetologia 2014; 57:187-91. [PMID: 24121625 PMCID: PMC3855529 DOI: 10.1007/s00125-013-3067-x] [Citation(s) in RCA: 196] [Impact Index Per Article: 19.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2013] [Accepted: 09/09/2013] [Indexed: 01/17/2023]
Abstract
AIMS/HYPOTHESIS Classically, type 1 diabetes is thought to proceed to absolute insulin deficiency. Recently developed ultrasensitive assays capable of detecting C-peptide under 5 pmol/l now allow very low levels of C-peptide to be detected in patients with long-standing type 1 diabetes. It is not known whether this low-level endogenous insulin secretion responds to physiological stimuli. We aimed to assess how commonly low-level detectable C-peptide occurs in long-duration type 1 diabetes and whether it responds to a meal stimulus. METHODS We performed a mixed-meal tolerance test in 74 volunteers with long-duration (>5 years) type 1 diabetes, i.e. with age at diagnosis 16 (9-23) years (median [interquartile range]) and diabetes duration of 30 (19-41) years. We assessed fasting and stimulated serum C-peptide levels using an electrochemiluminescence assay (detection limit 3.3 pmol/l), and also the urinary C-peptide:creatinine ratio (UCPCR). RESULTS Post-stimulation serum C-peptide was detectable at very low levels (>3.3 pmol/l) in 54 of 74 (73%) patients. In all patients with detectable serum C-peptide, C-peptide either increased (n = 43, 80%) or stayed the same (n = 11) in response to a meal, with no indication of levels falling (p < 0.0001). With increasing disease duration, absolute C-peptide levels fell although the numbers with detectable C-peptide remained high (68%, i.e. 25 of 37 patients with >30 years duration). Similar results were obtained for UCPCR. CONCLUSIONS/INTERPRETATION Most patients with long-duration type 1 diabetes continue to secrete very low levels of endogenous insulin, which increase after meals. This is consistent with the presence of a small number of still functional beta cells and implies that beta cells are either escaping immune attack or undergoing regeneration.
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Affiliation(s)
- Richard A. Oram
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Barrack Road, Exeter, UK
| | - Angus G. Jones
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Barrack Road, Exeter, UK
| | - Rachel E. J. Besser
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Barrack Road, Exeter, UK
| | - Bridget A. Knight
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Barrack Road, Exeter, UK
| | - Beverley M. Shields
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Barrack Road, Exeter, UK
| | - Richard J. Brown
- Department of Blood Sciences, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
| | - Andrew T. Hattersley
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Barrack Road, Exeter, UK
| | - Timothy J. McDonald
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Barrack Road, Exeter, UK
- Department of Blood Sciences, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK
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Oram RA, Rawlingson A, Shields BM, Bingham C, Besser REJ, McDonald TJ, Knight BA, Hattersley AT. Urine C-peptide creatinine ratio can be used to assess insulin resistance and insulin production in people without diabetes: an observational study. BMJ Open 2013; 3:e003193. [PMID: 24353253 PMCID: PMC3884748 DOI: 10.1136/bmjopen-2013-003193] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
OBJECTIVES The current assessment of insulin resistance (IR) in epidemiology studies relies on the blood measurement of C-peptide or insulin. A urine C-peptide creatinine ratio (UCPCR) can be posted from home unaided. It is validated against serum measures of the insulin in people with diabetes. We tested whether UCPCR could be a surrogate measure of IR by examining the correlation of UCPCR with serum insulin, C-peptide and HOMA2 (Homeostasis Model Assessment 2)-IR in participants without diabetes and with chronic kidney disease (CKD). DESIGN Observational study. SETTING Single-centre clinical research facility. PARTICIPANTS 37 healthy volunteers and 30 patients with CKD (glomerular filtration rate 15-60) were recruited. PRIMARY AND SECONDARY ENDPOINTS Serum insulin, C-peptide and glucose at fasting (0), 30, 60, 90 and 120 min were measured during an oral glucose tolerance test (OGTT). Second-void fasting UCPCR and 120 min post-OGTT UCPCR were collected. HOMA2-IR was calculated using fasting insulin and glucose. The associations between UCPCR and serum measures were assessed using Spearman's correlations. RESULTS In healthy volunteers, fasting second-void UCPCR strongly correlated with serum insulin (rs=0.69, p<0.0001), C-peptide (rs=0.73, p<0.0001) and HOMA2-IR (rs=-0.69, p<0.0001). 120 min post-OGTT UCPCR correlated strongly with C-peptide and insulin area under the curve. In patients with CKD, UCPCR did not correlate with serum C-peptide, insulin or HOMA2-IR. CONCLUSIONS In participants with normal renal function, UCPCR may be a simple, practical method for the assessment of IR in epidemiology studies.
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Affiliation(s)
- Richard A Oram
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Royal Devon & Exeter NHS Foundation Trust, Exeter, UK
- Royal Devon & Exeter NHS Foundation Trust, Exeter, UK
| | - Andrew Rawlingson
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Royal Devon & Exeter NHS Foundation Trust, Exeter, UK
- Royal Devon & Exeter NHS Foundation Trust, Exeter, UK
| | - Beverley M Shields
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Royal Devon & Exeter NHS Foundation Trust, Exeter, UK
| | | | | | - Tim J McDonald
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Royal Devon & Exeter NHS Foundation Trust, Exeter, UK
- Royal Devon & Exeter NHS Foundation Trust, Exeter, UK
| | - Bridget A Knight
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Royal Devon & Exeter NHS Foundation Trust, Exeter, UK
| | - Andrew T Hattersley
- NIHR Exeter Clinical Research Facility, University of Exeter Medical School, Royal Devon & Exeter NHS Foundation Trust, Exeter, UK
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Hope SV, Jones AG, Goodchild E, Shepherd M, Besser REJ, Shields B, McDonald T, Knight BA, Hattersley A. Urinary C-peptide creatinine ratio detects absolute insulin deficiency in Type 2 diabetes. Diabet Med 2013; 30:1342-8. [PMID: 23659458 PMCID: PMC4154136 DOI: 10.1111/dme.12222] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2013] [Revised: 04/03/2013] [Accepted: 05/07/2013] [Indexed: 12/24/2022]
Abstract
AIMS To determine the prevalence and clinical characteristics of absolute insulin deficiency in long-standing Type 2 diabetes, using a strategy based on home urinary C-peptide creatinine ratio measurement. METHODS We assessed the urinary C-peptide creatinine ratios, from urine samples taken at home 2 h after the largest meal of the day, in 191 insulin-treated subjects with Type 2 diabetes (diagnosis age ≥45 years, no insulin in the first year). If the initial urinary C-peptide creatinine ratio was ≤0.2 nmol/mmol (representing absolute insulin deficiency), the assessment was repeated. A standardized mixed-meal tolerance test with 90-min stimulated serum C-peptide measurement was performed in nine subjects with a urinary C-peptide creatinine ratio ≤ 0.2 nmol/mmol (and in nine controls with a urinary C-peptide creatinine ratio >0.2 nmol/mmol) to confirm absolute insulin deficiency. RESULTS A total of 2.7% of participants had absolute insulin deficiency confirmed by a mixed-meal tolerance test. They were identified initially using urinary C-peptide creatinine ratio: 11/191 subjects (5.8%) had two consistent urinary C-peptide creatinine ratios ≤ 0.2 nmol/mmol; 9 of these 11 subjects completed a mixed-meal tolerance test and had a median stimulated serum C-peptide of 0.18 nmol/l. Five of these 9 had stimulated serum C-peptide <0.2 nmol/l and 9/9 subjects with urinary C-peptide creatinine ratio >0.2 had endogenous insulin secretion confirmed by the mixed-meal tolerance test. Compared with subjects with a urinary C-peptide creatinine ratio >0.2 nmol/mmol, those with confirmed absolute insulin deficiency had a shorter time to insulin treatment (median 2.5 vs. 6 years, P=0.005) and lower BMI (25.1 vs. 29.1 kg/m(2) , P=0.04). Two out of the five patients with absolute insulin deficiency were glutamic acid decarboxylase autoantibody-positive. CONCLUSIONS Absolute insulin deficiency may occur in long-standing Type 2 diabetes, and cannot be reliably predicted by clinical features or autoantibodies. Absolute insulin deficiency in Type 2 diabetes may increase the risk of hypoglycaemia and ketoacidosis, as in Type 1 diabetes. Its recognition should help guide treatment, education and management. The urinary C-peptide creatinine ratio is a practical non-invasive method to aid detection of absolute insulin deficiency, with a urinary C-peptide creatinine ratio > 0.2 nmol/mmol being a reliable indicator of retained endogenous insulin secretion.
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Affiliation(s)
- S. V. Hope
- Department of GeriatricsRoyal Devon and Exeter NHS Foundation TrustExeterUK
- NIHR Exeter Clinical Research FacilityExeterUK
| | - A. G. Jones
- NIHR Exeter Clinical Research FacilityExeterUK
| | | | - M. Shepherd
- NIHR Exeter Clinical Research FacilityExeterUK
| | | | - B. Shields
- NIHR Exeter Clinical Research FacilityExeterUK
| | - T. McDonald
- NIHR Exeter Clinical Research FacilityExeterUK
- Department of BiochemistryRoyal Devon and Exeter NHS Foundation TrustExeterUK
| | | | - A. Hattersley
- NIHR Exeter Clinical Research FacilityExeterUK
- Correspondence to: Andrew Hattersley. E‐mail:
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