Mathematical modeling of immunosenescence is the new area of research emerging at the interface of the immunology, gerontology, and mathematics. In this paper we outline basic variables important for modeling aging immunity. We discuss the role of evolution in shaping pattern of aging in the immune system of modern humans. We investigate mathematical models of postnatal changes in the population of peripheral T-cells, effects of the antigenic load during development on the body growth, and contribution of immunosenescence to the old age increase in the risk of death from respiratory infections.
CITATION STYLE
Romanyukha, A. A., Rudnev, S. G., Sannikova, T. A., & Yashin, A. I. (2009). Mathematical modeling of immunosenescence: Scenarios, processes and limitations. In Handbook on Immunosenescence: Basic Understanding and Clinical Applications (Vol. 9781402090639, pp. 145–163). Springer Netherlands. https://doi.org/10.1007/978-1-4020-9063-9_8
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