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Yakimchuk2019 - Mathematical modeling of immune modulation by glucocorticoids

ABSTRACT: Mathematical modeling of immune modulation by glucocorticoids Konstantin Yakimchuk https://doi.org/10.1016/j.biosystems.2019.104066 Abstract The cellular and molecular mechanisms of immunomodulatory actions of glucocorticoids (GC) remain to be identified. Using our experimental findings, a mathematical model based on a system of ordinary differential equations for characterization of the regulation of anti-tumor immune activity by the both direct and indirect GC effects was generated to study the effects of GC treatment on effector CD8+ T cells, GC-generated tolerogenic dendritic cells (DC), regulatory T cells and the growth of lymphoma cells. In addition, we compared the data from in vivo and in silico experiments. The mathematical simulations indicated that treatment with GCs may suppress anti-tumor immune response in a dose-dependent manner. The model simulations were in line with earlier experimental observations of inhibitory effects of GCs on T and NK cells and DCs. The results of this study might be useful for predicting clinical outcomes in patients receiving GC therapy.

SUBMITTER: Mohammad Umer Sharif Shohan  

PROVIDER: MODEL1912170005 | BioModels | 2020-01-06

REPOSITORIES: BioModels

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Mathematical modeling of immune modulation by glucocorticoids.

Yakimchuk Konstantin K  

Bio Systems 20191114

The cellular and molecular mechanisms of immunomodulatory actions of glucocorticoids (GC) remain to be identified. Using our experimental findings, a mathematical model based on a system of ordinary differential equations for characterization of the regulation of anti-tumor immune activity by the both direct and indirect GC effects was generated to study the effects of GC treatment on effector CD8<sup>+</sup> T cells, GC-generated tolerogenic dendritic cells (DC), regulatory T cells and the grow  ...[more]

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