A mathematical model and computer simulation study of insulin sensitive glucose transporter regulation

Area of Science:

• Biomedical Engineering
• Computational Biology
• Metabolic Regulation

Background:

• Glucose transporter regulation is crucial for cellular glucose uptake.
• Insulin signaling pathways control glucose transporter activity, particularly in adipocytes and myocytes.
• Dysregulation of glucose transporters is implicated in metabolic diseases like diabetes and obesity.

Purpose of the Study:

• To develop a mathematical model of insulin-sensitive glucose transporter regulation.
• To simulate glucose transporter dynamics in both normal and pathological cellular states.
• To investigate post-receptor mechanisms contributing to insulin resistance.

Main Methods:

• Developed a mathematical model based on experimental data from adipocytes and myocytes.
• Incorporated key cellular processes: glucose transporter synthesis, degradation, translocation, and endocytosis.
• Validated the model by comparing simulation results with experimental data from rat adipocytes.

Main Results:

• The model accurately simulates insulin-dependent glucose transporter translocation in normal adipocytes.
• It replicates changes in transporter regulation with increased cell surface area.
• The model successfully simulates impaired glucose transporter regulation in various pathological states (high-fat diet, diabetes, fasting).

Conclusions:

• The developed mathematical model effectively explains glucose transporter regulation in normal and pathological conditions.
• This model can help elucidate post-receptor defects in insulin resistance.
• It provides a framework for understanding cellular responses in obesity and diabetes mellitus.