A Stochastic Model for CD4+ T Cell Proliferation and Dissemination Network in Primary Immune Response.
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Issue Date
2015
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The study of the initial phase of the adaptive immune response after first antigen encounter provides essential information on the magnitude and quality of the immune response. This phase is characterized by proliferation and dissemination of T cells in the lymphoid organs. Modeling and identifying the key features of this phenomenon may provide a useful tool for the analysis and prediction of the effects of immunization. This knowledge can be effectively exploited in vaccinology, where it is of interest to evaluate and compare the responses to different vaccine formulations. The objective of this paper is to construct a stochastic model based on branching process theory, for the dissemination network of antigen-specific CD4+ T cells. The devised model is validated on in vivo animal experimental data. The model presented has been applied to the vaccine immunization context making references to simple proliferation laws that take into account division, death and quiescence, but it can also be applied to any context where it is of interest to study the dynamic evolution of a population.Citation
A Stochastic Model for CD4+ T Cell Proliferation and Dissemination Network in Primary Immune Response. 2015, 10 (8):e0135787 PLoS ONEAffiliation
Helmholtz Centre for infection research, Inhoffenstr. 7, 38124 Braunschweig, Germany.Journal
PloS onePubMed ID
26301680Type
ArticleLanguage
enISSN
1932-6203ae974a485f413a2113503eed53cd6c53
10.1371/journal.pone.0135787
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