Phenotypes Associated With Zones Defined by Area Under the Curve Glucose and C-peptide in a Population With Islet Autoantibodies
Authors' conclusion
Phenotypes of 25 zones formed from AUCGLU and AUCPEP were used to gain insights into type 1 diabetes heterogeneity. Zones were used 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.
Study context
- Population
- Autoantibody-positive relatives of individuals with T1D, TrialNet Pathway to Prevention Study (TNPTP)25 zones
- Participants
- 6,620 relatives
- Outcome
- Zone phenotypes (25 zones from 5 AUCGLU rows and 5 AUCPEP columns)
Methodological detailsbaseline OGTT data from TrialNet Pathway to Prevention Study
- Baseline OGTT data from TrialNet Pathway to Prevention Study
Main finding
As reported in the abstract
- Correlation of 5-year T1D risk with islet antigen 2 antibody prevalence among zones
- r = 0.96, P < 0.001
- 5-year T1D risk in highest area under the curve glucose (AUCGLU) row, lowest to highest AUCPEP column
- 0.88-0.41; P < 0.001
- Correlation of AUCGLU with Index60 in highest AUCPEP column
- r = 0.33
- Correlation of AUCGLU with Index60 in other AUCPEP columns
- r ≥ 0.78
- AUCGLU positively related to fasting glucose × fasting insulin and fasting glucose × fasting C-peptide, before and after adjustment for Index60
- P < 0.001
Observational data: associations, not effects.
Original publication
Phenotypes Associated With Zones Defined by Area Under the Curve Glucose and C-peptide in a Population With Islet Autoantibodies. Diabetes Care. Published 26 April 2023. doi:10.
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