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

Personalizing physical exercise in a computational model of fuel homeostasis.

Author information

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.

PMID:
29698395
PMCID:
PMC5919631
DOI:
10.1371/journal.pcbi.1006073
[Indexed for MEDLINE]
Free PMC Article

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