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Diabetes Mellitus: Overview and Type I Subtype

Diabetes Mellitus: Overview and Type I Subtype

Diabetes mellitus is a chronic metabolic disorder characterized by high blood glucose levels due to inadequate insulin production, insulin resistance, or both. The condition affects millions worldwide and can significantly impact their health and quality of life.
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Type 2 diabetes, characterized by insulin resistance, arises when the insulin receptors on cells lose responsiveness to insulin, diminishing the cell's capacity to take up glucose, resulting in elevated blood glucose levels. To receive a diagnosis of Type 2 diabetes, a series of blood glucose tests are necessary to assess whether the blood glucose falls within normal parameters. If the result is out of the normal range, a patient may be diagnosed as prediabetic or diabetic, depending on the...

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Computational Reconstruction of Pancreatic Islets as a Tool for Structural and Functional Analysis

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Developing the UVA/Padova Type 1 Diabetes Simulator: Modeling, Validation, Refinements, and Utility.

Claudio Cobelli¹, Boris Kovatchev²

¹University of Padova, Padova, Italy.

Journal of Diabetes Science and Technology

|September 25, 2023

Summary

Mathematical models and computer simulations have revolutionized diabetes mellitus management. Advanced continuous glucose monitoring (CGM) data fuels these models, enabling artificial pancreas development and replacing animal trials for new treatments.

Keywords:

artificial pancreas automated insulin delivery closed-loop control computer simulation continuous glucose monitoring diabetes in silico models insulin pumps

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Area of Science:

Biomedical Engineering
Computational Biology
Endocrinology

Background:

Diabetes mellitus management has evolved significantly over 50 years, moving from HbA1c to continuous glucose monitoring (CGM).
High-temporal resolution CGM data has enabled intensive treatment strategies, including automated closed-loop systems like the artificial pancreas.
Mathematical modeling and computer simulation are crucial for advancing diabetes treatment technologies.

Approach:

This review traces the evolution of mathematical models in diabetes care, starting with the Minimal Model of Glucose Kinetics.
It highlights the development of a sophisticated glucose-insulin dynamics model and a simulator with 300 in silico subjects with type 1 diabetes.
The study details the Food and Drug Administration's (FDA) acceptance of this simulator for pre-clinical testing, replacing animal experiments.

Key Points:

The Minimal Model has evolved into comprehensive systems driving diabetes optimization strategies.
A sophisticated glucose-insulin dynamics simulator was developed and validated with 300 in silico subjects.
The FDA's acceptance of the simulator for pre-clinical testing marked a paradigm shift in diabetes treatment development.

Conclusions:

Mathematical models and computer simulations are indispensable for technological advancements in diabetes treatment.
The use of in silico trials has accelerated the development and pre-clinical testing of novel diabetes therapies.
Animal experiments for designing insulin treatment algorithms have been largely superseded by computational approaches.