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Estimating the Life Course of Influenza A(H3N2) Antibody Responses from Cross-Sectional Data

The immunity of a host population against specific influenza A strains can influence a number of important biological processes, from the emergence of new virus strains to the effectiveness of vaccination programmes. However, the development of an individual’s long-lived antibody response to influen...

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Autores principales: Kucharski, Adam J., Lessler, Justin, Read, Jonathan M., Zhu, Huachen, Jiang, Chao Qiang, Guan, Yi, Cummings, Derek A. T., Riley, Steven
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4348415/
https://www.ncbi.nlm.nih.gov/pubmed/25734701
http://dx.doi.org/10.1371/journal.pbio.1002082
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author Kucharski, Adam J.
Lessler, Justin
Read, Jonathan M.
Zhu, Huachen
Jiang, Chao Qiang
Guan, Yi
Cummings, Derek A. T.
Riley, Steven
author_facet Kucharski, Adam J.
Lessler, Justin
Read, Jonathan M.
Zhu, Huachen
Jiang, Chao Qiang
Guan, Yi
Cummings, Derek A. T.
Riley, Steven
author_sort Kucharski, Adam J.
collection PubMed
description The immunity of a host population against specific influenza A strains can influence a number of important biological processes, from the emergence of new virus strains to the effectiveness of vaccination programmes. However, the development of an individual’s long-lived antibody response to influenza A over the course of a lifetime remains poorly understood. Accurately describing this immunological process requires a fundamental understanding of how the mechanisms of boosting and cross-reactivity respond to repeated infections. Establishing the contribution of such mechanisms to antibody titres remains challenging because the aggregate effect of immune responses over a lifetime are rarely observed directly. To uncover the aggregate effect of multiple influenza infections, we developed a mechanistic model capturing both past infections and subsequent antibody responses. We estimated parameters of the model using cross-sectional antibody titres to nine different strains spanning 40 years of circulation of influenza A(H3N2) in southern China. We found that “antigenic seniority” and quickly decaying cross-reactivity were important components of the immune response, suggesting that the order in which individuals were infected with influenza strains shaped observed neutralisation titres to a particular virus. We also obtained estimates of the frequency and age distribution of influenza infection, which indicate that although infections became less frequent as individuals progressed through childhood and young adulthood, they occurred at similar rates for individuals above age 30 y. By establishing what are likely to be important mechanisms driving epochal trends in population immunity, we also identified key directions for future studies. In particular, our results highlight the need for longitudinal samples that are tested against multiple historical strains. This could lead to a better understanding of how, over the course of a lifetime, fast, transient antibody dynamics combine with the longer-term immune responses considered here.
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spelling pubmed-43484152015-03-06 Estimating the Life Course of Influenza A(H3N2) Antibody Responses from Cross-Sectional Data Kucharski, Adam J. Lessler, Justin Read, Jonathan M. Zhu, Huachen Jiang, Chao Qiang Guan, Yi Cummings, Derek A. T. Riley, Steven PLoS Biol Research Article The immunity of a host population against specific influenza A strains can influence a number of important biological processes, from the emergence of new virus strains to the effectiveness of vaccination programmes. However, the development of an individual’s long-lived antibody response to influenza A over the course of a lifetime remains poorly understood. Accurately describing this immunological process requires a fundamental understanding of how the mechanisms of boosting and cross-reactivity respond to repeated infections. Establishing the contribution of such mechanisms to antibody titres remains challenging because the aggregate effect of immune responses over a lifetime are rarely observed directly. To uncover the aggregate effect of multiple influenza infections, we developed a mechanistic model capturing both past infections and subsequent antibody responses. We estimated parameters of the model using cross-sectional antibody titres to nine different strains spanning 40 years of circulation of influenza A(H3N2) in southern China. We found that “antigenic seniority” and quickly decaying cross-reactivity were important components of the immune response, suggesting that the order in which individuals were infected with influenza strains shaped observed neutralisation titres to a particular virus. We also obtained estimates of the frequency and age distribution of influenza infection, which indicate that although infections became less frequent as individuals progressed through childhood and young adulthood, they occurred at similar rates for individuals above age 30 y. By establishing what are likely to be important mechanisms driving epochal trends in population immunity, we also identified key directions for future studies. In particular, our results highlight the need for longitudinal samples that are tested against multiple historical strains. This could lead to a better understanding of how, over the course of a lifetime, fast, transient antibody dynamics combine with the longer-term immune responses considered here. Public Library of Science 2015-03-03 /pmc/articles/PMC4348415/ /pubmed/25734701 http://dx.doi.org/10.1371/journal.pbio.1002082 Text en © 2015 Kucharski et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Kucharski, Adam J.
Lessler, Justin
Read, Jonathan M.
Zhu, Huachen
Jiang, Chao Qiang
Guan, Yi
Cummings, Derek A. T.
Riley, Steven
Estimating the Life Course of Influenza A(H3N2) Antibody Responses from Cross-Sectional Data
title Estimating the Life Course of Influenza A(H3N2) Antibody Responses from Cross-Sectional Data
title_full Estimating the Life Course of Influenza A(H3N2) Antibody Responses from Cross-Sectional Data
title_fullStr Estimating the Life Course of Influenza A(H3N2) Antibody Responses from Cross-Sectional Data
title_full_unstemmed Estimating the Life Course of Influenza A(H3N2) Antibody Responses from Cross-Sectional Data
title_short Estimating the Life Course of Influenza A(H3N2) Antibody Responses from Cross-Sectional Data
title_sort estimating the life course of influenza a(h3n2) antibody responses from cross-sectional data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4348415/
https://www.ncbi.nlm.nih.gov/pubmed/25734701
http://dx.doi.org/10.1371/journal.pbio.1002082
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