Computational model of glucose homeostasis during exercise.
A mathematical model of whole-body metabolism is developed to predict glucose homeostasis during exercise by using a hormonal controller over cellular metabolic processes. Model simulations were validated with experimental data from exercise studies in humans. The exercise-induced changes in hormonal signals modulated metabolic flux rates of various tissues in a coordinated way to maintain blood glucose constant. This study demonstrates the efficacy of a multi-tissue controller to accomplish blood glucose homeostasis by integrating the outputs of tissues under hormonal control. In conclusion, this model can be used as a valuable complement to experimental studies due to its ability to predict what is difficult to measure directly and to provide dynamic information about the system.
Kim
Jaeyeon
J
Case Western Reserve University, Cleveland, OH 44106, USA. jyk6@case.edu
Saidel
Gerald M
GM
Kirwan
John P
JP
Cabrera
Marco E
ME
D003198:Computer Simulation; D015444:Exercise / Q000502:physiology*; D005080:Exercise Test; D005947:Glucose / Q000378:metabolism*; D006706:Homeostasis / Q000502:physiology*; D006801:Humans; D007328:Insulin / Q000378:metabolism*; D008657:Metabolic Clearance Rate; D008954:Models, Biological; D009928:Organ Specificity / Q000502:physiology*; D005082:Physical Exertion / Q000502:physiology*; D014018:Tissue Distribution
D007328:Insulin; D005947:Glucose