The model can be used to quantify hepatic glucagon and insulin sensitivity, accounting also for glucagon evanescence over time. The ability to quantify glucagon effects on postprandial glucose metabolism will further our understanding of its role in the onset and progression of type 2 diabetes. These findings can also be used in the design of novel glucagon-based therapies where accurate modeling of glucagon action is required to meet efficacy and safety standards.
A new C-peptide minimal model to assess β-cell responsiveness to glucagon in individuals with and without type 2 diabetes
In this study, we propose a new mathematical model able to quantify C-peptide secretion and β-cell responsivity in response to a glucagon bolus in individuals without and with type 2 diabetes. We show that individuals with type 2 diabetes exhibit reduced β-cell responsivity to glucagon.
Nonlinear Mixed Effects Modeling of Glucagon Kinetics in Healthy Subjects