@conference{
author = "Stanojević, Ana and Marković, Vladimir and Čupić, Željko and Maćešić, Stevan and Vukojević, Vladana and Kolar-Anić, Ljiljana",
year = "2016",
abstract = "The hypothalamic-pituitary-adrenal (HPA) axis is a dynamic regulatory network
of biochemical reactions that integrates and synchronizes the nervous and the
endocrine systems functions at the organism level. In order to describe how this
vast network of biochemical interactions operates, we have developed a nonlinear
eleven-dimensional stoichiometric model that concisely describes key biochemical
transformations that comprise the HPA axis in rats. In a stoichiometric
model of a biochemical system, the outcomes of complex biochemical pathways
are succinctly described by stoichiometric relations. In this representation, substances
that initiate, i.e. enter a pathway are regarded to behave as reactants;
substances that are generated in a pathway are regarded to behave as products;
and the rates at which products of a pathway appear are jointly proportional
to the concentrations of the reactants. In order to derive rate constants for specific
biochemical reaction pathways, we have resorted to our recently developed
nonlinear reaction model that concisely describes biochemical transformations
in the HPA axis in humans. In this way, a mathematical framework is developed
to describe in the form of a system of ordinary differential equations (ODEs) the
integration of biochemical pathways that constitute the HPA axis on chemical kinetics
basis. This, in turn, allows us to use numerical simulations to investigate
how the underlying biochemical pathways are intertwined to give an integral
HPA axis response at the organism level to a variety of external or internal perturbators
of the HPA dynamics. Given that the HPA axis is a nonlinear dynamical
network, its response is complex and often cannot be intuitively predicted,
stoichiometric modeling can be harnessed for gaining additional insights into
dynamical functioning of this complex neuroendocrine system.",
publisher = "Belgrade : The Bioinformatics Research Group, University of Belgrade - Faculty of Mathematics",
journal = "Book of Abstracts - Belgrade BioInformatics Conference 2016, BelBI 2016",
title = "Mathematical Modeling of the Hypothalamic-Pituitary-Adrenal Axis Dynamics in Rats",
pages = "98-98",
url = "https://hdl.handle.net/21.15107/rcub_cer_4856"
}