Modeling Glucose, Insulin, C-Peptide, and Lactate Interplay in Adolescents During an Oral Glucose Tolerance Test
Authors' conclusion
We have developed a simulator to describe glucose, insulin, C-peptide, and lactate kinetics during an OGTT, which captures the behavior of a real population of adolescents with/without obesity both in terms of average and intersubject variability. Such simulator can be used to investigate the pharmacodynamics of drugs targeting lactate metabolic pathway in various pathological conditions.
Study context
- Population
- Adolescents with/without obesity who underwent a standard 75 g oral glucose tolerance test (OGTT); 100 in silico subjects100 in silico subjects
- Participants
- 44 participants
- Outcome
- Model fit to glucose, insulin, C-peptide and lactate time courses during OGTT
Methodological detailsin silico simulation, based on Padova Type 2 Diabetes Simulator (T2DS)
- In silico simulation
- Based on Padova Type 2 Diabetes Simulator (T2DS)
Main finding
As reported in the abstract
- Model accurately predicts all molecules' time courses; precision of parameter estimates, CV% median [25th-75th percentile]
- 19 [9-29]%
- Agreement of in silico population with clinical data, AUC for glucose, insulin, C-peptide and lactate
- P = .6, .6, .9, .6
- Agreement of parameter distributions
- P > .1
Original publication
Modeling Glucose, Insulin, C-Peptide, and Lactate Interplay in Adolescents During an Oral Glucose Tolerance Test. J Diabetes Sci Technol. Published 30 July 2024. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →