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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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Uitbeijerse BS, Nijhoff MF, Sont JK, de Koning EJP. Fasting parameters for estimation of stimulated β cell function in islet transplant recipients with or without basal insulin treatment. Am J Transplant 2021; 21:297-306. [PMID: 32524720 PMCID: PMC7818182 DOI: 10.1111/ajt.16135] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Revised: 05/11/2020] [Accepted: 05/27/2020] [Indexed: 01/25/2023]
Abstract
In order to assess β cell secretory capacity after islet transplantation, standardized mixed meal stimulation tests are often used. But these tests are cumbersome and the effect of exogenous insulin on the test results is unclear. The aim of our study was to determine to what extent fasting glycemic indices can estimate stimulated β cell function in islet transplant recipients with and without basal insulin. In total 100 mixed meal stimulation tests, including 31 with concurrent basal insulin treatment, were performed in 36 islet transplant recipients. In a multivariate model, fasting C-peptide and fasting glucose together estimated peak C-peptide with R2 = .87 and area under the curve (AUC) C-peptide with a R2 = .93. There was a larger increase of glucose during tests in which exogenous insulin was used (+7.9 vs +5.3 mmol/L, P < .001) and exogenous insulin use was associated with a slightly lower estimated peak C-peptide (relative change: -15%, P = .02). In islet transplant recipients the combination of fasting C-peptide and glucose can be used to accurately estimate stimulated β cell function after a mixed meal stimulation test, whether exogenous basal insulin is present or not. These data indicate that graft function can be reliably determined during exogenous insulin treatment and that regular islet graft stimulation tests can be minimized.
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Affiliation(s)
- Bas S. Uitbeijerse
- Department of Internal MedicineLeiden University Medical CenterLeidenthe Netherlands
| | - Michiel F. Nijhoff
- Department of Internal MedicineLeiden University Medical CenterLeidenthe Netherlands
| | - Jacob K. Sont
- Department of Biomedical Data SciencesSection Medical Decision MakingLeiden University Medical CenterLeidenthe Netherlands
| | - Eelco J. P. de Koning
- Department of Internal MedicineLeiden University Medical CenterLeidenthe Netherlands
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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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