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

Annelien Van Dalem, Simke Demeester, Eric V Balti, Bart Keymeulen, Pieter Gillard, Bruno Lapauw, Christophe De Block, Pascale Abrams, Eric Weber, Ilse Vermeulen, Pieter De Pauw, Daniël Pipeleers, Ilse Weets, Frans K Gorus and Belgian Diabetes Registry

PLOS ONE, 2016, vol. 11, issue 12, 1-14

Abstract: 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 (r2 = 0.96–0.99; P

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0166702

DOI: 10.1371/journal.pone.0166702

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