Literature DB >> 21959959

Proinsulin-to-C-peptide ratio versus proinsulin-to-insulin ratio in the prediction of incident diabetes: the Insulin Resistance Atherosclerosis Study (IRAS).

R C Loopstra-Masters1, S M Haffner, C Lorenzo, L E Wagenknecht, A J Hanley.   

Abstract

AIMS: Associations of proinsulin-to-insulin ratios with incident type 2 diabetes have been inconsistent. The use of C-peptide as the denominator in the ratio may allow for better prediction because C-peptide concentration is not affected by hepatic insulin clearance. The objective of this paper was to compare fasting intact and split proinsulin-to-insulin ratios (PI/I, SPI/I) with intact and split proinsulin-to-C-peptide ratios (PI/C-pep, SPI/C-pep) in the prediction of type 2 diabetes.
METHODS: Prospective data on 818 multi-ethnic adults without diabetes at baseline from the Insulin Resistance Atherosclerosis Study (IRAS) were used. Insulin sensitivity (S(I)) and acute insulin response (AIR) were determined from frequently sampled intravenous glucose tolerance tests, and fasting intact and split proinsulin were measured using specific two-site monoclonal antibody-based immunoradiometric assays. Associations of proinsulin ratios with type 2 diabetes were determined using logistic regression and differences in prediction were assessed by comparing areas under the receiver operating characteristic curve (AROCs).
RESULTS: In logistic regression analyses, PI/C-pep and SPI/C-pep were more strongly associated with incident type 2 diabetes (n = 128) than PI/I and SPI/I, and were significantly better predictors of diabetes in AROC analyses (PI/C-pep = 0.662 vs PI/I = 0.603, p = 0.02; SPI/C-pep = 0.690 vs SPI/I = 0.631, p = 0.01). Both PI/C-pep and SPI/C-pep were associated with type 2 diabetes after adjustment for age, sex, ethnicity, waist circumference, impaired glucose tolerance, lipids and S(I). Both PI/C-pep and SPI/C-pep were significantly associated with incident type 2 diabetes in models that included AIR.
CONCLUSIONS: Proinsulin-to-C-peptide ratios were stronger predictors of diabetes in comparison with proinsulin-to-insulin ratios. These findings support the use of C-peptide as the denominator for proinsulin ratios, to more accurately reflect the degree of disproportional hyperproinsulinaemia.

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Year:  2011        PMID: 21959959     DOI: 10.1007/s00125-011-2322-2

Source DB:  PubMed          Journal:  Diabetologia        ISSN: 0012-186X            Impact factor:   10.122


  20 in total

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3.  Fasting proinsulin concentrations predict the development of type 2 diabetes.

Authors:  N J Wareham; C D Byrne; R Williams; N E Day; C N Hales
Journal:  Diabetes Care       Date:  1999-02       Impact factor: 19.112

4.  Disproportionately elevated proinsulin in Pima Indians with noninsulin-dependent diabetes mellitus.

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Journal:  Am J Med       Date:  2003-04-15       Impact factor: 4.965

9.  Proinsulin and acute insulin response independently predict Type 2 diabetes mellitus in men--report from 27 years of follow-up study.

Authors:  B Zethelius; L Byberg; C N Hales; H Lithell; C Berne
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6.  Insulin Sensitivity and β-Cell Function Improve after Gastric Bypass in Severely Obese Adolescents.

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7.  High residual C-peptide likely contributes to glycemic control in type 1 diabetes.

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9.  Future detection and monitoring of diabetes may entail analysis of both β-cell function and volume: how markers of β-cell loss may assist.

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10.  Impaired beta cell function is present in nondiabetic rheumatoid arthritis patients.

Authors:  Iván Ferraz-Amaro; Jose A García-Dopico; Lilian Medina-Vega; Miguel A González-Gay; Federico Díaz-González
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