Phenotypes Associated with Zones Defined by Area Under the Curve Glucose and C-peptide in a Population with Islet Autoantibodies

Autor: theTrialNet Study Group, Maria J. Redondo, Jay S. Skyler, Kevan C. Herold, Carmella Evans-Molina, Mark A. Atkinson, Laura M. Jacobsen, Brandon M. Nathan, Heba M. Ismail, Emily K. Sims, David Cuthbertson, Jay M. Sosenko
Rok vydání: 2023
Popis: Objective Metabolic zones were developed to characterize heterogeneity of individuals with islet autoantibodies. Research Design and Methods Baseline 2-hour oral glucose tolerance test (OGTT) data from 6,620 TrialNet Pathway to Prevention Study (TNPTP) autoantibody-positive participants (relatives of individuals with type 1 diabetes) were used to form 25 zones from 5 AUC glucose (AUCGLU) rows and 5 AUC C-peptide (AUCPEP) columns. Zone phenotypes were developed from demographic, metabolic, autoantibody, HLA, and risk data. Results As AUCGLU increased, changes of glucose and C-peptide response curves (GCRCs; from mean glucose and mean C-peptide values at 30,60,90,120 minutes) were similar within the 5 AUCPEP columns. Among the zones, 5-year risk for type 1 diabetes was highly correlated with IA-2A prevalence (r=0.96, p Conclusions Phenotypes of 25 zones formed from AUCGLU and AUCPEP were used to gain insights into type 1 diabetes heterogeneity. Zones were utilized to examine GCRC changes with increasing AUCGLU, associations between risk and autoantibody prevalence, the dependence of glucose as a predictor of risk according to C-peptide, and glucose heterogeneity from contributions of insulin secretion and insulin resistance.
Databáze: OpenAIRE