Literature DB >> 25150457

Understanding the roles of activation threshold and infections in the dynamics of autoimmune disease.

K B Blyuss1, L B Nicholson2.   

Abstract

Onset and development of autoimmunity have been attributed to a number of factors, including genetic predisposition, age and different environmental factors. In this paper we discuss mathematical models of autoimmunity with an emphasis on two particular aspects of immune dynamics: breakdown of immune tolerance in response to an infection with a pathogen, and interactions between T cells with different activation thresholds. We illustrate how the explicit account of T cells with different activation thresholds provides a viable model of immune dynamics able to reproduce several types of immune behaviour, including normal clearance of infection, emergence of a chronic state, and development of a recurrent infection with autoimmunity. We discuss a number of open research problems that can be addressed within the same modelling framework.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Autoimmunity; Mathematical model; Virus

Mesh:

Year:  2014        PMID: 25150457     DOI: 10.1016/j.jtbi.2014.08.019

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


  3 in total

1.  The Role of Aggregates of Therapeutic Protein Products in Immunogenicity: An Evaluation by Mathematical Modeling.

Authors:  Liusong Yin; Xiaoying Chen; Abhinav Tiwari; Paolo Vicini; Timothy P Hickling
Journal:  J Immunol Res       Date:  2015-11-22       Impact factor: 4.818

2.  Quantifying the Role of Stochasticity in the Development of Autoimmune Disease.

Authors:  Lindsay B Nicholson; Konstantin B Blyuss; Farzad Fatehi
Journal:  Cells       Date:  2020-04-02       Impact factor: 6.600

3.  Stochastic Effects in Autoimmune Dynamics.

Authors:  Farzad Fatehi; Sergey N Kyrychko; Aleksandra Ross; Yuliya N Kyrychko; Konstantin B Blyuss
Journal:  Front Physiol       Date:  2018-02-02       Impact factor: 4.566

  3 in total

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