ArticlePloS one2016
Prediction of Impending Type 1 Diabetes through Automated Dual-Label Measurement of Proinsulin:C-Peptide Ratio.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 20 citations in OpenAlex.
- Biomarkers of partial remission in paediatric type 1 diabetes: β-cell stress, immune-metabolic remodelling, and translational priorities-a narrative review.Translational pediatrics · 2026Review
- Toward Personalized Medicine in Type 1 Diabetes: Understanding How Patient Heterogeneity Influences Therapeutic Efficacy.Diabetes, obesity & metabolism · 2026Review
- Continuous glucose monitoring as a tool in early-stage type 1 diabetes.Diabetologia · 2026Review
- Biomarkers, Proteoforms, and Mass Spectrometry-Based Assays for Diabetes Clinical Research.The Journal of clinical endocrinology and metabolism · 2025Review
- Quantitative analysis of islet prohormone convertase 1/3 expression in human pancreas donors with diabetes.Diabetologia · 2024Article
- Article
- The β Cell in Diabetes: Integrating Biomarkers With Functional Measures.Endocrine reviews · 2021Review
- Review
- The role of beta-cell dysfunction in early type 1 diabetes.Current opinion in endocrinology, diabetes, and obesity · 2020Review
- Distinct secretion pattern of serum proinsulin in different types of diabetes.Annals of translational medicine · 2020Article
- Article
- Structure and function of the exocrine pancreas in patients with type 1 diabetes.Reviews in endocrine & metabolic disorders · 2019Review
- Biomarkers of islet beta cell stress and death in type 1 diabetes.Diabetologia · 2018Review
- Immune Mechanisms and Pathways Targeted in Type 1 Diabetes.Current diabetes reports · 2018Review
- SLC30A8 polymorphism and BMI complement HLA-A*24 as risk factors for poor graft function in islet allograft recipients.Diabetologia · 2018Article
- Article
Corrections and comments
- Erratum issued
Authors and funding
15 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe 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.
methodsBetween-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).
resultsTT-TRFIA values for proinsulin, C-peptide and PI:C correlated significantly (r2 = 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 (rs = -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.
conclusionsThe 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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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.