title: In silico models for dynamic connected cell cultures mimicking hepatocyte-endothelial cell-adipocyte interaction circle.
abstract: The biochemistry of a system made up of three kinds of cell is virtually impossible to work out without the use of in silico models. Here, we deal with homeostatic balance phenomena from a metabolic point of view and we present a new computational model merging three single-cell models, already available from our research group: the first model reproduced the metabolic behaviour of a hepatocyte, the second one represented an endothelial cell, and the third one described an adipocyte. Multiple interconnections were created among these three models in order to mimic the main physiological interactions that are known for the examined cell phenotypes. The ultimate aim was to recreate the accomplishment of the homeostatic balance as it was observed for an in vitro connected three-culture system concerning glucose and lipid metabolism in the presence of the medium flow. The whole model was based on a modular approach and on a set of nonlinear differential equations implemented in Simulink, applying Michaelis-Menten kinetic laws and some energy balance considerations to the studied metabolic pathways. Our in silico model was then validated against experimental datasets coming from literature about the cited in vitro model. The agreement between simulated and experimental results was good and the behaviour of the connected culture system was reproduced through an adequate parameter evaluation. The developed model may help other researchers to investigate further about integrated metabolism and the regulation mechanisms underlying the physiological homeostasis.
authors.affiliation: Research Center "E. Piaggio", University of Pisa, Pisa, Italy.
authors.forename: Chiara
authors.initials: C
authors.lastname: Andreoni
authors.affiliation: Research Center "E. Piaggio", University of Pisa, Pisa, Italy.
authors.forename: Gianni
authors.initials: G
authors.lastname: Orsi
authors.affiliation: Research Center "E. Piaggio", University of Pisa, Pisa, Italy; Department of Information Engineering, University of Pisa, Pisa, Italy.
authors.forename: Carmelo
authors.initials: C
authors.lastname: De Maria
authors.affiliation: Research Center "E. Piaggio", University of Pisa, Pisa, Italy.
authors.forename: Francesca
authors.initials: F
authors.lastname: Montemurro
authors.affiliation: Research Center "E. Piaggio", University of Pisa, Pisa, Italy; Department of Information Engineering, University of Pisa, Pisa, Italy.
authors.forename: Giovanni
authors.initials: G
authors.lastname: Vozzi
mesh_terms: D017667:Adipocytes / Q000166:cytology* / Q000378:metabolism; D002450:Cell Communication; D018929:Cell Culture Techniques / Q000379:methods; D049109:Cell Proliferation; D003198:Computer Simulation; D042783:Endothelial Cells / Q000166:cytology* / Q000378:metabolism; D022781:Hepatocytes / Q000166:cytology* / Q000378:metabolism; D006801:Humans; D053858:Metabolic Networks and Pathways; D008954:Models, Biological