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Prediction of Impending Type 1 Diabetes through Automated Dual-Label Measurement of Proinsulin:C-Peptide Ratio

BACKGROUND: The hyperglycemic clamp test, the gold standard of beta cell function, predicts impending type 1 diabetes in islet autoantibody-positive individuals, but the latter may benefit from less invasive function tests such as the proinsulin:C-peptide ratio (PI:C). The present study aims to opti...

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Autores principales: Van Dalem, Annelien, Demeester, Simke, Balti, Eric V., Keymeulen, Bart, Gillard, Pieter, Lapauw, Bruno, De Block, Christophe, Abrams, Pascale, Weber, Eric, Vermeulen, Ilse, De Pauw, Pieter, Pipeleers, Daniël, Weets, Ilse, Gorus, Frans K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5131964/
https://www.ncbi.nlm.nih.gov/pubmed/27907006
http://dx.doi.org/10.1371/journal.pone.0166702
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author Van Dalem, Annelien
Demeester, Simke
Balti, Eric V.
Keymeulen, Bart
Gillard, Pieter
Lapauw, Bruno
De Block, Christophe
Abrams, Pascale
Weber, Eric
Vermeulen, Ilse
De Pauw, Pieter
Pipeleers, Daniël
Weets, Ilse
Gorus, Frans K.
author_facet Van Dalem, Annelien
Demeester, Simke
Balti, Eric V.
Keymeulen, Bart
Gillard, Pieter
Lapauw, Bruno
De Block, Christophe
Abrams, Pascale
Weber, Eric
Vermeulen, Ilse
De Pauw, Pieter
Pipeleers, Daniël
Weets, Ilse
Gorus, Frans K.
author_sort Van Dalem, Annelien
collection PubMed
description BACKGROUND: The hyperglycemic clamp test, the gold standard of beta cell function, predicts impending type 1 diabetes in islet autoantibody-positive individuals, but the latter may benefit from less invasive function tests such as the proinsulin:C-peptide ratio (PI:C). The present study aims to optimize precision of PI:C measurements by automating a dual-label trefoil-type time-resolved fluorescence immunoassay (TT-TRFIA), and to compare its diagnostic performance for predicting type 1 diabetes with that of clamp-derived C-peptide release. METHODS: Between-day imprecision (n = 20) and split-sample analysis (n = 95) were used to compare TT-TRFIA (AutoDelfia, Perkin-Elmer) with separate methods for proinsulin (in-house TRFIA) and C-peptide (Elecsys, Roche). High-risk multiple autoantibody-positive first-degree relatives (n = 49; age 5–39) were tested for fasting PI:C, HOMA2-IR and hyperglycemic clamp and followed for 20–57 months (interquartile range). RESULTS: TT-TRFIA values for proinsulin, C-peptide and PI:C correlated significantly (r(2) = 0.96–0.99; P<0.001) with results obtained with separate methods. TT-TRFIA achieved better between-day %CV for PI:C at three different levels (4.5–7.1 vs 6.7–9.5 for separate methods). In high-risk relatives fasting PI:C was significantly and inversely correlated (r(s) = -0.596; P<0.001) with first-phase C-peptide release during clamp (also with second phase release, only available for age 12–39 years; n = 31), but only after normalization for HOMA2-IR. In ROC- and Cox regression analysis, HOMA2-IR-corrected PI:C predicted 2-year progression to diabetes equally well as clamp-derived C-peptide release. CONCLUSIONS: The reproducibility of PI:C benefits from the automated simultaneous determination of both hormones. HOMA2-IR-corrected PI:C may serve as a minimally invasive alternative to the more tedious hyperglycemic clamp test.
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spelling pubmed-51319642016-12-21 Prediction of Impending Type 1 Diabetes through Automated Dual-Label Measurement of Proinsulin:C-Peptide Ratio Van Dalem, Annelien Demeester, Simke Balti, Eric V. Keymeulen, Bart Gillard, Pieter Lapauw, Bruno De Block, Christophe Abrams, Pascale Weber, Eric Vermeulen, Ilse De Pauw, Pieter Pipeleers, Daniël Weets, Ilse Gorus, Frans K. PLoS One Research Article BACKGROUND: The hyperglycemic clamp test, the gold standard of beta cell function, predicts impending type 1 diabetes in islet autoantibody-positive individuals, but the latter may benefit from less invasive function tests such as the proinsulin:C-peptide ratio (PI:C). The present study aims to optimize precision of PI:C measurements by automating a dual-label trefoil-type time-resolved fluorescence immunoassay (TT-TRFIA), and to compare its diagnostic performance for predicting type 1 diabetes with that of clamp-derived C-peptide release. METHODS: Between-day imprecision (n = 20) and split-sample analysis (n = 95) were used to compare TT-TRFIA (AutoDelfia, Perkin-Elmer) with separate methods for proinsulin (in-house TRFIA) and C-peptide (Elecsys, Roche). High-risk multiple autoantibody-positive first-degree relatives (n = 49; age 5–39) were tested for fasting PI:C, HOMA2-IR and hyperglycemic clamp and followed for 20–57 months (interquartile range). RESULTS: TT-TRFIA values for proinsulin, C-peptide and PI:C correlated significantly (r(2) = 0.96–0.99; P<0.001) with results obtained with separate methods. TT-TRFIA achieved better between-day %CV for PI:C at three different levels (4.5–7.1 vs 6.7–9.5 for separate methods). In high-risk relatives fasting PI:C was significantly and inversely correlated (r(s) = -0.596; P<0.001) with first-phase C-peptide release during clamp (also with second phase release, only available for age 12–39 years; n = 31), but only after normalization for HOMA2-IR. In ROC- and Cox regression analysis, HOMA2-IR-corrected PI:C predicted 2-year progression to diabetes equally well as clamp-derived C-peptide release. CONCLUSIONS: The reproducibility of PI:C benefits from the automated simultaneous determination of both hormones. HOMA2-IR-corrected PI:C may serve as a minimally invasive alternative to the more tedious hyperglycemic clamp test. Public Library of Science 2016-12-01 /pmc/articles/PMC5131964/ /pubmed/27907006 http://dx.doi.org/10.1371/journal.pone.0166702 Text en © 2016 Van Dalem et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Van Dalem, Annelien
Demeester, Simke
Balti, Eric V.
Keymeulen, Bart
Gillard, Pieter
Lapauw, Bruno
De Block, Christophe
Abrams, Pascale
Weber, Eric
Vermeulen, Ilse
De Pauw, Pieter
Pipeleers, Daniël
Weets, Ilse
Gorus, Frans K.
Prediction of Impending Type 1 Diabetes through Automated Dual-Label Measurement of Proinsulin:C-Peptide Ratio
title Prediction of Impending Type 1 Diabetes through Automated Dual-Label Measurement of Proinsulin:C-Peptide Ratio
title_full Prediction of Impending Type 1 Diabetes through Automated Dual-Label Measurement of Proinsulin:C-Peptide Ratio
title_fullStr Prediction of Impending Type 1 Diabetes through Automated Dual-Label Measurement of Proinsulin:C-Peptide Ratio
title_full_unstemmed Prediction of Impending Type 1 Diabetes through Automated Dual-Label Measurement of Proinsulin:C-Peptide Ratio
title_short Prediction of Impending Type 1 Diabetes through Automated Dual-Label Measurement of Proinsulin:C-Peptide Ratio
title_sort prediction of impending type 1 diabetes through automated dual-label measurement of proinsulin:c-peptide ratio
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5131964/
https://www.ncbi.nlm.nih.gov/pubmed/27907006
http://dx.doi.org/10.1371/journal.pone.0166702
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