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Mathematical modeling provides kinetic details of the human immune response to vaccination
With major advances in experimental techniques to track antigen-specific immune responses many basic questions on the kinetics of virus-specific immunity in humans remain unanswered. To gain insights into kinetics of T and B cell responses in human volunteers we combined mathematical models and expe...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4288384/ https://www.ncbi.nlm.nih.gov/pubmed/25621280 http://dx.doi.org/10.3389/fcimb.2014.00177 |
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author | Le, Dustin Miller, Joseph D. Ganusov, Vitaly V. |
author_facet | Le, Dustin Miller, Joseph D. Ganusov, Vitaly V. |
author_sort | Le, Dustin |
collection | PubMed |
description | With major advances in experimental techniques to track antigen-specific immune responses many basic questions on the kinetics of virus-specific immunity in humans remain unanswered. To gain insights into kinetics of T and B cell responses in human volunteers we combined mathematical models and experimental data from recent studies employing vaccines against yellow fever and smallpox. Yellow fever virus-specific CD8 T cell population expanded slowly with the average doubling time of 2 days peaking 2.5 weeks post immunization. Interestingly, we found that the peak of the yellow fever-specific CD8 T cell response was determined by the rate of T cell proliferation and not by the precursor frequency of antigen-specific cells as has been suggested in several studies in mice. We also found that while the frequency of virus-specific T cells increased slowly, the slow increase could still accurately explain clearance of yellow fever virus in the blood. Our additional mathematical model described well the kinetics of virus-specific antibody-secreting cell and antibody response to vaccinia virus in vaccinated individuals suggesting that most of antibodies in 3 months post immunization were derived from the population of circulating antibody-secreting cells. Taken together, our analysis provided novel insights into mechanisms by which live vaccines induce immunity to viral infections and highlighted challenges of applying methods of mathematical modeling to the current, state-of-the-art yet limited immunological data. |
format | Online Article Text |
id | pubmed-4288384 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-42883842015-01-23 Mathematical modeling provides kinetic details of the human immune response to vaccination Le, Dustin Miller, Joseph D. Ganusov, Vitaly V. Front Cell Infect Microbiol Microbiology With major advances in experimental techniques to track antigen-specific immune responses many basic questions on the kinetics of virus-specific immunity in humans remain unanswered. To gain insights into kinetics of T and B cell responses in human volunteers we combined mathematical models and experimental data from recent studies employing vaccines against yellow fever and smallpox. Yellow fever virus-specific CD8 T cell population expanded slowly with the average doubling time of 2 days peaking 2.5 weeks post immunization. Interestingly, we found that the peak of the yellow fever-specific CD8 T cell response was determined by the rate of T cell proliferation and not by the precursor frequency of antigen-specific cells as has been suggested in several studies in mice. We also found that while the frequency of virus-specific T cells increased slowly, the slow increase could still accurately explain clearance of yellow fever virus in the blood. Our additional mathematical model described well the kinetics of virus-specific antibody-secreting cell and antibody response to vaccinia virus in vaccinated individuals suggesting that most of antibodies in 3 months post immunization were derived from the population of circulating antibody-secreting cells. Taken together, our analysis provided novel insights into mechanisms by which live vaccines induce immunity to viral infections and highlighted challenges of applying methods of mathematical modeling to the current, state-of-the-art yet limited immunological data. Frontiers Media S.A. 2015-01-09 /pmc/articles/PMC4288384/ /pubmed/25621280 http://dx.doi.org/10.3389/fcimb.2014.00177 Text en Copyright © 2015 Le, Miller and Ganusov. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Le, Dustin Miller, Joseph D. Ganusov, Vitaly V. Mathematical modeling provides kinetic details of the human immune response to vaccination |
title | Mathematical modeling provides kinetic details of the human immune response to vaccination |
title_full | Mathematical modeling provides kinetic details of the human immune response to vaccination |
title_fullStr | Mathematical modeling provides kinetic details of the human immune response to vaccination |
title_full_unstemmed | Mathematical modeling provides kinetic details of the human immune response to vaccination |
title_short | Mathematical modeling provides kinetic details of the human immune response to vaccination |
title_sort | mathematical modeling provides kinetic details of the human immune response to vaccination |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4288384/ https://www.ncbi.nlm.nih.gov/pubmed/25621280 http://dx.doi.org/10.3389/fcimb.2014.00177 |
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