Simulating the Dynamics of T Cell Subsets Throughout the Lifetime

6 Pages Posted: 25 Aug 2016

See all articles by Stephanie Foan

Stephanie Foan

University of Nottingham

Andrew Jackson

University of Nottingham

Ian Spendlove

University of Nottingham

Uwe Aickelin

University of Melbourne - School of Computing and Information Systems

Date Written: January 1, 2011

Abstract

It is widely accepted that the immune system undergoes age-related changes correlating with increased disease in the elderly. T cell subsets have been implicated. The aim of this work is firstly to implement and validate a simulation of T regulatory cell (Treg) dynamics throughout the lifetime, based on a model by Baltcheva. We show that our initial simulation produces an inversion between precursor and mature Tregs at around 20 years of age, though the output differs significantly from the original laboratory dataset. Secondly, this report discusses development of the model to incorporate new data from a cross-sectional study of healthy blood donors addressing balance between Tregs and Th17 cells with novel markers for Treg. The potential for simulation to add insight into immune aging is discussed.

Suggested Citation

Foan, Stephanie and Jackson, Andrew and Spendlove, Ian and Aickelin, Uwe, Simulating the Dynamics of T Cell Subsets Throughout the Lifetime (January 1, 2011). Available at SSRN: https://ssrn.com/abstract=2829279 or http://dx.doi.org/10.2139/ssrn.2829279

Stephanie Foan

University of Nottingham

University Park
Nottingham, NG8 1BB
United Kingdom

Andrew Jackson

University of Nottingham

University Park
Nottingham, NG8 1BB
United Kingdom

Ian Spendlove

University of Nottingham

University Park
Nottingham, NG8 1BB
United Kingdom

Uwe Aickelin (Contact Author)

University of Melbourne - School of Computing and Information Systems ( email )

Australia

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