title: Computational model of glucose homeostasis during exercise.
abstract: 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.
authors.affiliation: Case Western Reserve University, Cleveland, OH 44106, USA. jyk6@case.edu
authors.forename: Jaeyeon
authors.initials: J
authors.lastname: Kim
authors.forename: Gerald M
authors.initials: GM
authors.lastname: Saidel
authors.forename: John P
authors.initials: JP
authors.lastname: Kirwan
authors.forename: Marco E
authors.initials: ME
authors.lastname: Cabrera
mesh_terms: 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
chemical_list: D007328:Insulin; D005947:Glucose