Mathematical modeling and qualitative analysis of insulin therapies
Catherine
Lloyd
Auckland Bioengineering Institute, The University of Auckland
Model Status
This CellML version of the model has been checked in COR and OpenCell. The units are consistent and the model runs to partially recreate the published results. The infusion of glucose and insulin, and the insulin response, are the same as in the paper, but the glucose oscillations are different - this may be because the time delays in the original model can not be included in the CellML model.
Model Structure
Abstract: Several insulin therapies are widely in clinical use with the basic strategy that mimics insulin secretion in a normal glucose-nsulin endocrine metabolic regulatory system. In this paper, we model the insulin therapies using a delay differential equation model. We study the dynamics of the model both qualitatively and quantitatively. The analytical results show the existence and uniqueness of a stable periodic solution that corresponds to ultradian insulin secretion oscillations. Numerically we simulate the insulin administration based on our model. The numerical simulation results are in agreement with findings of clinical studies.
model diagram
Glucose (blue solid line) and insulin (red dotted line) concentrations oscillate over time, with a slight time delay between the peaks as insulin spikes in response to elevated glucose levels.
The complete original paper reference is cited below:
Mathematical modeling and qualitative analysis of insulin therapies, Haiyan Wang, Jiaxu Li, and Yang Kuang, 2007, Mathematical Biosciences 210, 17-33. PubMed ID: 17610909
G
glucose
I
insulin
endocrine
glucose
insulin
diabetes
Mathematical modeling and qualitative analysis of insulin therapies
I've made the units consistent and have fixed the piecewise equations.
Jiaxu
Li
1000
0.001
Catherine
Lloyd
May
I've made the units consistent and have fixed the piecewise equations.
Wang, Li, and Kuang's 2007 mathematical model and qualitative analysis of insulin therapies.
Mathematical Biosciences
Catherine
Lloyd
May
c.lloyd@auckland.ac.nz
2007-05-29
Catherine
Lloyd
May
Yang
Kuang
The University of Auckland
The Bioengineering Institute
The model runs in PCEnv to partially recreate the published results. The inability of the CellML model to recreate the glucose oscillations by the original model may be due the lack of time delays in the CellML model.
2007-09-06T12:36:12+12:00
keyword
Catherine Lloyd
2007-07-10T00:00:00+00:00
2007-09-06T12:36:12+12:00
This is a CellML description of Wang, Li, and Kuang's 2007 mathematical model and qualitative analysis of insulin therapies.
Catherine Lloyd
Haiyan
Wang
17610909
The University of Auckland, Bioengineering Institute