Simulating the dynamics of T cell subsets throughout the lifetime

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, bas...

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Main Authors: Foan, Stephanie, Jackson, Andrew M., Spendlove, Ian, Aickelin, Uwe
Other Authors: Liò, Pietro
Format: Book Section
Published: Springer 2011
Online Access:https://eprints.nottingham.ac.uk/2027/
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author Foan, Stephanie
Jackson, Andrew M.
Spendlove, Ian
Aickelin, Uwe
author2 Liò, Pietro
author_facet Liò, Pietro
Foan, Stephanie
Jackson, Andrew M.
Spendlove, Ian
Aickelin, Uwe
author_sort Foan, Stephanie
building Nottingham Research Data Repository
collection Online Access
description 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.
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format Book Section
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institution University of Nottingham Malaysia Campus
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publishDate 2011
publisher Springer
recordtype eprints
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spelling nottingham-20272020-05-04T20:23:52Z https://eprints.nottingham.ac.uk/2027/ Simulating the dynamics of T cell subsets throughout the lifetime Foan, Stephanie Jackson, Andrew M. Spendlove, Ian Aickelin, Uwe 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. Springer Liò, Pietro Nicosia, Giuseppe Stibor, Thomas 2011 Book Section PeerReviewed Foan, Stephanie, Jackson, Andrew M., Spendlove, Ian and Aickelin, Uwe (2011) Simulating the dynamics of T cell subsets throughout the lifetime. In: Artificial immune systems: 10th international conference, ICARIS 2011, Cambridge, UK, July 18-21, 2011: proceedings. Lecture notes in computer science (6825). Springer, Heidelberg, pp. 71-76. ISBN 9783642223716 http://link.springer.com/chapter/10.1007/978-3-642-22371-6_8
spellingShingle Foan, Stephanie
Jackson, Andrew M.
Spendlove, Ian
Aickelin, Uwe
Simulating the dynamics of T cell subsets throughout the lifetime
title Simulating the dynamics of T cell subsets throughout the lifetime
title_full Simulating the dynamics of T cell subsets throughout the lifetime
title_fullStr Simulating the dynamics of T cell subsets throughout the lifetime
title_full_unstemmed Simulating the dynamics of T cell subsets throughout the lifetime
title_short Simulating the dynamics of T cell subsets throughout the lifetime
title_sort simulating the dynamics of t cell subsets throughout the lifetime
url https://eprints.nottingham.ac.uk/2027/
https://eprints.nottingham.ac.uk/2027/