Literature DB >> 19878686

Modeling the role of IL-2 in the interplay between CD4+ helper and regulatory T cells: assessing general dynamical properties.

Karina García-Martínez1, Kalet León.   

Abstract

Mathematical models accounting for well-known evidences relating to the dynamics of interleukin 2, helper and regulatory T cells are presented. These models extend an existent model (the so-called cross-regulation model of immunity), by assuming IL-2 as the growth factor produced by helper cells, but used by both helper and regulatory cells to proliferate and survive. Two model variants, motivated by current literature, are explored. The first variant assumes that regulatory cells suppress helper cells by limiting IL-2 production and consuming the available IL-2; i.e. they just trigger competition for IL-2. The second model variant adds to the latter competitive mechanism the direct inhibition of helper cells activation by regulatory cells. The extended models retain key dynamical features of the cross-regulation model. But such reasonable behavior depends on parameter constraints, which happen to be realistic and lead to interesting biological discussions. Furthermore, the introduction of IL-2 in these models breaks the local/specific character of interactions, providing new properties to them. In the extended models, but not in the cross-regulation model, the response triggered by an antigen affects the response to other antigens in the same lymph node. The first model variant predicts an unrealistic coupling of the immune reactions to all the antigens in the lymph node. In contrast, the second model variant allows the coexistent of concomitant tolerant and immune responses to different antigens. The IL-2 derived from an ongoing immune reaction reinforces tolerance to other antigens in the same lymph node. Overall the models introduced here are useful extensions of the cross-regulation formalism. In particular, they might allow future studies of the effect of different IL-2 modulation therapies on CD4+ T cell dynamics. (c) 2009 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19878686     DOI: 10.1016/j.jtbi.2009.10.025

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  4 in total

Review 1.  Modeling the T cell immune response: a fascinating challenge.

Authors:  Penelope A Morel; James R Faeder; William F Hawse; Natasa Miskov-Zivanov
Journal:  J Pharmacokinet Pharmacodyn       Date:  2014-08-26       Impact factor: 2.745

Review 2.  Mechanisms Underlying CD4+ Treg Immune Regulation in the Adult: From Experiments to Models.

Authors:  Marta Caridade; Luis Graca; Ruy M Ribeiro
Journal:  Front Immunol       Date:  2013-11-18       Impact factor: 7.561

Review 3.  Mathematical Models of the Impact of IL2 Modulation Therapies on T Cell Dynamics.

Authors:  Kalet León; Karina García-Martínez; Tania Carmenate
Journal:  Front Immunol       Date:  2013-12-11       Impact factor: 7.561

Review 4.  Mathematical Models for Immunology: Current State of the Art and Future Research Directions.

Authors:  Raluca Eftimie; Joseph J Gillard; Doreen A Cantrell
Journal:  Bull Math Biol       Date:  2016-10-06       Impact factor: 1.758

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.