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Handbook on Immunosenescence pp 145–163Cite as

Mathematical Modeling of Immunosenescence: Scenarios, Processes and Limitations

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Abstract

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.

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Author information

Authors and Affiliations

  1. Institute of Numerical Mathematics, Russian Academy of Sciences, Moscow, Russia

    A. A. Romanyukha, S. G. Rudnev & T. A. Sannikova

  2. Center for Population Health and Aging, Duke University, Durham, USA

    A. I. Yashin

Authors
  1. A. A. Romanyukha
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  2. S. G. Rudnev
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  3. T. A. Sannikova
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  4. A. I. Yashin
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Editor information

Editors and Affiliations

  1. Research Center on Aging, Department of Medicine, Immunology Graduate Programme, Faculty of Medicine, University of Sherbrooke, 1036 Rue Belvedere, J1H 4C4, Sherbrooke, Quebec, Canada

    Tamas Fulop

  2. Department of Experimental Pathalogy, CIG Interdepartmental Center “L. Galvani” University of Bologna, Via San Giacomo 12, 40126, Bologna, Italy

    Claudio Franceschi

  3. Institute for Health and Life Sciences, 4-6-22 Kohinato, Bunkyo-ku, Tokyo, 112-0006, Japan

    Katsuiku Hirokawa

  4. ZMF - Zentrum Med. Forschung Abt. Transplant./ Immunologie, University of Tübingen, Waldhörnlestr. 22, 72072, Tübingen, Germany

    Graham Pawelec

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Romanyukha, A.A., Rudnev, S.G., Sannikova, T.A., Yashin, A.I. (2009). Mathematical Modeling of Immunosenescence: Scenarios, Processes and Limitations. In: Fulop, T., Franceschi, C., Hirokawa, K., Pawelec, G. (eds) Handbook on Immunosenescence. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-9063-9_8

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