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Modeling glucose metabolism in man: theory and practice
C Cobelli1, D M Bier, E Ferrannini
1Department of Electronics and Informatics, University of Padova, Italy.
Hormone and Metabolic Research. Supplement Series
|January 1, 1990
Summary
This study reviews mathematical models for quantifying glucose metabolism and insulin effects in vivo. These models are crucial for understanding glucose kinetics and improving experimental design in human studies.
Area of Science:
- Physiology
- Biomedical Engineering
- Pharmacokinetics
Background:
- Quantitative assessment of in vivo glucose metabolism requires systemic models.
- Understanding insulin's effect on glucose kinetics is vital for metabolic research.
Purpose of the Study:
- To review various mathematical models for assessing human glucose metabolism and insulin action in vivo.
- To highlight the importance of modeling methodology and experimental design in kinetic studies.
Main Methods:
- Discussion of compartmental and minimal models for glucose kinetics.
- Inclusion of models for whole-body and regional (forearm) glucose transport.
- Consideration of non-steady-state physiological models and labeled intravenous glucose tolerance tests (IVGTT).
Main Results:
- Models enable quantitative assessment of glucose distribution, metabolism, and insulin sensitivity.
- Specific models address beta-cell function, hepatic glucose production, and insulin-mediated glucose uptake.
- Methodology emphasizes compartmental modeling and improved experimental design.
Conclusions:
- Mathematical modeling is essential for understanding in vivo glucose metabolism and insulin dynamics.
- Various models provide insights into different aspects of glucose kinetics and endocrine function.
- Refined modeling approaches and experimental designs enhance the accuracy of metabolic assessments.