Simulating the dynamics of T cell subsets throughout the lifetime

Foan, Stephanie; Jackson, Andrew M.; Spendlove, Ian; Aickelin, Uwe

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 (T reg ) dynamics throughout the lifetime, based on a model by Baltcheva. We show that our initial simulation produces an inversion between precursor and mature T reg s 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 T reg s and T h 17 cells with novel markers for T reg . The potential for simulation to add insight into immune aging is discussed.

Citation

Foan, S., Jackson, A. M., Spendlove, I., & Aickelin, U. (2011, July). Simulating the dynamics of T cell subsets throughout the lifetime. Presented at 10th International Conference, ICARIS 2011, Cambridge, UK

• Presentation Conference Type: Edited Proceedings
• Conference Name: 10th International Conference, ICARIS 2011
• Start Date: Jul 18, 2011
• End Date: Jul 21, 2011
• Publication Date: Jan 1, 2011
• Deposit Date: Jun 18, 2013
• Publicly Available Date: Jun 18, 2013
• Publisher: Springer
• Peer Reviewed: Peer Reviewed
• Pages: 71–76
• Series Title: Lecture notes in computer science
• Series Number: 6825
• Series ISSN: 1611-3349
• Book Title: Artificial Immune Systems
• ISBN: 978-3-642-22370-9
• DOI: https://doi.org/10.1007/978-3-642-22371-6_8
• Public URL: https://nottingham-repository.worktribe.com/output/1010677
• Publisher URL: http://link.springer.com/chapter/10.1007/978-3-642-22371-6_8