Literature DB >> 13678598

Evolution of immunological memory and the regulation of competition between pathogens.

Dominik Wodarz1.   

Abstract

Memory is a central characteristic of immune responses. It is defined as an elevated number of specific immune cells that remain after resolution of infection and can protect the host against reinfection. The evolution of immunological memory is subject to debate. The advantages of memory discussed so far include protection from reinfection, control of chronic infection, and the transfer of immune function to the next generation. Mathematical models are used to identify a new force that can drive the evolution of immunological memory: the duration of memory can regulate the degree of competition between different pathogens. While a long duration of memory provides lasting protection against reinfection, it may also allow an inferior pathogen species to persist. This can be detrimental for the host if the inferior pathogen is more virulent. On the other hand, a shorter duration of memory ensures that an inferior pathogen species is excluded. This can be beneficial for the host if the inferior pathogen is more virulent. Thus, while in the absence of pathogen diversity memory is always expected to evolve to a long duration, under specific circumstances, memory can evolve toward shorter durations in the presence of pathogen diversity.

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Year:  2003        PMID: 13678598     DOI: 10.1016/j.cub.2003.08.055

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  4 in total

1.  Theoretical analysis of the evolution of immune memory.

Authors:  Frederik Graw; Carsten Magnus; Roland R Regoes
Journal:  BMC Evol Biol       Date:  2010-12-08       Impact factor: 3.260

2.  The evolution of costly acquired immune memory.

Authors:  Alex Best; Andy Hoyle
Journal:  Ecol Evol       Date:  2013-06-06       Impact factor: 2.912

3.  Cell-intrinsic regulation of peripheral memory-phenotype T cell frequencies.

Authors:  Amanpreet Singh Chawla; Parna Kanodia; Ankur Mukherjee; Vaibhav Jain; Gurvinder Kaur; Poonam Coshic; Kabita Chatterjee; Nitya Wadhwa; Uma Chandra Mouli Natchu; Shailaja Sopory; Shinjini Bhatnagar; Partha P Majumder; Anna George; Vineeta Bal; Satyajit Rath; Savit B Prabhu
Journal:  PLoS One       Date:  2018-12-17       Impact factor: 3.240

4.  Immune response to a variable pathogen: a stochastic model with two interlocked Darwinian entities.

Authors:  Christoph Kuhn
Journal:  Comput Math Methods Med       Date:  2012-12-02       Impact factor: 2.238

  4 in total

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