Understanding Glucose Regulation Through MINMOD Analysis
Author Information
Author(s): Nittala Aparna, Ghosh Soumitra, Stefanovski Darko, Bergman Richard, Wang Xujing
Primary Institution: Max McGee National Research Center for Juvenile Diabetes & Human and Molecular Genetics Center, Medical College of Wisconsin
Hypothesis
How many degrees of freedom does a system described by MINMOD have?
Conclusion
Dimensional analysis of MINMOD led to simplification of the model, direct identification of the important composite factors in the dynamics of glucose metabolic control, and better simulations algorithms.
Supporting Evidence
- The degree of freedom (DOF) of MINMOD was found to be 7.
- The model was maximally simplified in the dimensionless formulation.
- The numerical simulation using the dimensionless formulation led to a 1.5–5 fold gain in speed.
- The dimensionless implementation is significantly more robust against noise.
- Parameter estimation from the two programs agree well, with correlation coefficients above 0.96.
Takeaway
This study looks at how to better understand and simulate how our bodies control glucose levels, which is important for diabetes management.
Methodology
A formal dimensional analysis of MINMOD was carried out, and parameter estimation from FSIVGTT was implemented using both dimensional and dimensionless formulations, compared through Monte Carlo simulation.
Potential Biases
The dimensional implementation may fail to converge in parameter estimation for some datasets due to noise.
Limitations
The fitting failure rate in the Monte Carlo simulation is high, and the dimensional implementation is more sensitive to noise.
Participant Demographics
Healthy non-diabetic offspring of T2DM patients.
Statistical Information
P-Value
p<0.001
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
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