Literature DB >> 11923114

The importance of lytic and nonlytic immune responses in viral infections.

Dominik Wodarz1, Jan Pravsgaard Christensen, Allan Randrup Thomsen.   

Abstract

Antiviral immune effector mechanisms can be divided broadly into lytic and nonlytic components. We use mathematical models to investigate the fundamental question of which type of response is required to combat different types of viral infection. According to our model, the relative roles of the two types of component depend on the cytopathicity of the virus relative to its rate of replication. If the viral cytopathicity is low relative to the rate of viral replication, the model predicts that a combination of lytic and nonlytic effector mechanisms is likely to be required to resolve the disease, particularly if the virus replicates at a fast rate. By contrast, if viral cytopathicity is high relative to the replication rate of the virus, then lytic and nonlytic mechanisms can, in principle, resolve the infection independently. We discuss our findings in the context of specific viral infections and use our model to interpret empirical data.

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Year:  2002        PMID: 11923114     DOI: 10.1016/s1471-4906(02)02189-0

Source DB:  PubMed          Journal:  Trends Immunol        ISSN: 1471-4906            Impact factor:   16.687


  17 in total

1.  Perforin-deficient CD8+ T cells mediate fatal lymphocytic choriomeningitis despite impaired cytokine production.

Authors:  Pernille Storm; Christina Bartholdy; Maria Rathman Sørensen; Jan Pravsgaard Christensen; Allan Randrup Thomsen
Journal:  J Virol       Date:  2006-02       Impact factor: 5.103

2.  Dynamics of killer T cell inflation in viral infections.

Authors:  Dominik Wodarz; Sophie Sierro; Paul Klenerman
Journal:  J R Soc Interface       Date:  2007-06-22       Impact factor: 4.118

3.  Lethal mutagenesis in viruses and bacteria.

Authors:  Peiqiu Chen; Eugene I Shakhnovich
Journal:  Genetics       Date:  2009-07-20       Impact factor: 4.562

4.  Viral dynamics model with CTL immune response incorporating antiretroviral therapy.

Authors:  Yan Wang; Yicang Zhou; Fred Brauer; Jane M Heffernan
Journal:  J Math Biol       Date:  2012-08-29       Impact factor: 2.259

Review 5.  Modeling T cell responses to antigenic challenge.

Authors:  Dominik Wodarz
Journal:  J Pharmacokinet Pharmacodyn       Date:  2014-10-01       Impact factor: 2.745

6.  Predicting the impact of CD8+ T cell polyfunctionality on HIV disease progression.

Authors:  Frederik Graw; Roland R Regoes
Journal:  J Virol       Date:  2014-06-25       Impact factor: 5.103

7.  Yellow fever virus infection in Syrian golden hamsters: relationship between cytokine expression and pathologic changes.

Authors:  Guangyu Li; Tao Duan; Xiaoyan Wu; Robert B Tesh; Lynn Soong; Shu-Yuan Xiao
Journal:  Int J Clin Exp Pathol       Date:  2008-01-01

8.  The race between initial T-helper expansion and virus growth upon HIV infection influences polyclonality of the response and viral set-point.

Authors:  H Korthals Altes; R M Ribeiro; R J de Boer
Journal:  Proc Biol Sci       Date:  2003-07-07       Impact factor: 5.349

9.  Human immunodeficiency virus evolution towards reduced replicative fitness in vivo and the development of AIDS.

Authors:  Dominik Wodarz; David N Levy
Journal:  Proc Biol Sci       Date:  2007-10-07       Impact factor: 5.349

10.  Perforin and gamma interferon-mediated control of coronavirus central nervous system infection by CD8 T cells in the absence of CD4 T cells.

Authors:  Cornelia C Bergmann; Beatriz Parra; David R Hinton; Chandran Ramakrishna; Konechi C Dowdell; Stephen A Stohlman
Journal:  J Virol       Date:  2004-02       Impact factor: 5.103

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