Personalizing physical exercise in a computational model of fuel homeostasis

Maria Concetta Palumbo; Micaela Morettini; Paolo Tieri; Fasma Diele; Massimo Sacchetti; Filippo Castiglione

doi:10.1371/journal.pcbi.1006073

Personalizing physical exercise in a computational model of fuel homeostasis

PLoS Comput Biol. 2018 Apr 26;14(4):e1006073. doi: 10.1371/journal.pcbi.1006073. eCollection 2018 Apr.

Authors

Maria Concetta Palumbo¹, Micaela Morettini², Paolo Tieri¹, Fasma Diele¹, Massimo Sacchetti³, Filippo Castiglione¹

Affiliations

¹ Institute for Applied Computing (IAC) "Mauro Picone", National Research Council of Italy, Rome, Italy.
² Department of Information Engineering, Università Politecnica delle Marche, Ancona, Italy.
³ Department of Movement, Human and Health Sciences, University of Rome "Foro Italico", Rome, Italy.

Abstract

The beneficial effects of physical activity for the prevention and management of several chronic diseases are widely recognized. Mathematical modeling of the effects of physical exercise in body metabolism and in particular its influence on the control of glucose homeostasis is of primary importance in the development of eHealth monitoring devices for a personalized medicine. Nonetheless, to date only a few mathematical models have been aiming at this specific purpose. We have developed a whole-body computational model of the effects on metabolic homeostasis of a bout of physical exercise. Built upon an existing model, it allows to detail better both subjects' characteristics and physical exercise, thus determining to a greater extent the dynamics of the hormones and the metabolites considered.

Publication types

Research Support, Non-U.S. Gov't
Validation Study

MeSH terms

Adult
Blood Glucose / metabolism
Computational Biology
Computer Simulation
Energy Metabolism / physiology*
Epinephrine / blood
Exercise / physiology*
Glucagon / blood
Gluconeogenesis
Glycerol / blood
Glycogenolysis
Homeostasis / physiology
Humans
Insulin / blood
Male
Models, Biological*
Oxygen Consumption / physiology
Precision Medicine
Tissue Distribution
Young Adult

Substances

Blood Glucose
Insulin
Glucagon
Glycerol
Epinephrine

Grants and funding

This study was funded by the European Commission under the 7th Framework Programme (https://ec.europa.eu/research/fp7 MISSION-T2D project, contract No.600803). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. There was no additional external funding received for this study.