Computational modelling of fuel homeostasis during exercise

Existing in-silico models describing the effects of exercise on human metabolism at whole-body level span different space (from single- to multi-scale models) and temporal (from short- to long-term effects) scales as well as different levels of details (from “parsimonious” to more comprehensive computational models). In some cases, the proposed models refer to normal metabolic conditions, in other cases models were developed to account for changes occurring in pathological conditions such as diabetes; eventually, in some studies, the exercise-related description encompasses also the description of the effects of different meals or nutritional regimens. This talk will provide insight into the modeling of these aspects, through a multi-scale computational model that allows personalization in terms of exercise performed and individual characteristics and accounts for both metabolic and immunological aspects.