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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Kelton, W.D., Sadowski, R.P., Swets, N.B.: Simulation with Arena, 5th edn. McGraw-Hill, New York (2010)
Kim, P.S., Levy, D., Lee, P.P.: Modeling and Simulation of the Immune System as a Self-Regulating Network. Methods in Enzymology, vol. 467, pp. 79–109. Academic Press, London (2009)
Figueredo, G., Aickelin, U.: Investigating immune System aging: System dynamics and agent-based modelling. In: Proceeding of the Summer Computer Simulation Conference (2010)
Boren, E., Gershwin, M.E.: Inflamm-aging: Autoimmunity, and the Immune-Risk Phenotype. Autoimmunity Reviews 3, 401–406 (2004)
Rosenkranz, D., Weyer, S., Tolosa, E., Gaenslen, A., Berg, D., Leyhe, T., Gasser, T., Stoltze, L.: Higher Frequency of Regulatory T Cells in the Elderly and Increased Suppressive Activity in Neurodegeneration. Journal of Neuroimmunology 188, 117–127 (2007)
Gregg, R., Smith, C.M., Clark, F.J., Dunnion, D., Khan, N., Chakraverty, R., Nayak, L., Moss, P.A.: The Number of Human Peripheral Blood CD4 + CD25high Regulatory T Cells Increases with Age. Clinical and Experimental Immunology 140, 540–546 (2005)
Hwang, K.A., Kim, H.R., Kang, I.: Aging and Human CD4 + Regulatory T Cells. Clinical Immunology 130, 509–517 (2009)
Faria, A.M., de Moraes, S.M., de Freitas, L.H., Speziali, E., Soares, T.F., Figueiredo-Neves, S.P., Vitelli-Avelar, D.M., Martins, M.A., Barbosa, K.V., Soares, E.B., Sathler-Avelar, R., Peruhype-Magalhaes, V., Cardoso, G.M., Comin, F., Teixeira, R., Eloi-Santos, S.M., Queiroz, D.M., Correa-Oliveira, R., Bauer, M.E., Teixeira-Carvalho, A., Martins-Filho, O.A.: Variation Rhythms of Lymphocyte Subsets During Healthy Aging. Neuroimmunomodulation 15, 365–379 (2008)
Lee, J.S., Lee, W.W., Kim, S.H., Kang, Y., Lee, N., Shin, M.S., Kang, S.W., Kang, I.: Age-associated alteration in naive and memory th17 cell response in humans. Clinical Immunology (2011) (in Press, Corrected Proof)
Li, Q., Wang, Y., Chen, K., Zhou, Q., Wei, W., Wang, Y., Wang, Y.: The Role of Oxidized Low-Density Lipoprotein in Breaking Peripheral T h 17/T reg Balance in Patients with Acute Coronary Syndrome. Biochemical and Biophysical Research Communications 394, 836–842 (2010)
Baltcheva, I., Codarri, L., Pantaleo, G., Boudec, J.Y.L.: Lifelong Dynamics of Human CD4 + CD25 + Regulatory T Cells: Insights from in vivo Data and Mathematical Modeling. Journal of Theoretical Biology 266, 307–322 (2010)
Thornton, A.M., Korty, P.E., Tran, D.Q., Wohlfert, E.A., Murray, P.E., Belkaid, Y., Shevach, E.M.: Expression of Helios, an Ikaros Transcription Factor Family Member, Differentiates Thymic-Derived from Peripherally Induced Foxp3 + T Regulatory Cells. The Journal of Immunology 184, 3433–3441 (2010)
Ziegler, S.F., Buckner, J.H.: Foxp3 and the Regulation of T reg /T h 17 Differentiation. Microbes and Infection 11, 594–598 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Foan, S.J., Jackson, A.M., Spendlove, I., Aickelin, U. (2011). Simulating the Dynamics of T Cell Subsets throughout the Lifetime. In: Liò, P., Nicosia, G., Stibor, T. (eds) Artificial Immune Systems. ICARIS 2011. Lecture Notes in Computer Science, vol 6825. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22371-6_8
Download citation
DOI: https://doi.org/10.1007/978-3-642-22371-6_8
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22370-9
Online ISBN: 978-3-642-22371-6
eBook Packages: Computer ScienceComputer Science (R0)