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

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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.

In: Plos Biology, Vol. 13, No. 3, 1002082, 03.03.2015.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Kucharski, AJ, Lessler, J, Read, JM, Zhu, H, Jiang, CQ, Guan, Y, Cummings, DAT & Riley, S 2015, 'Estimating the Life Course of Influenza A (H3N2) Antibody Responses from Cross-Sectional Data', Plos Biology, vol. 13, no. 3, 1002082. https://doi.org/10.1371/journal.pbio.1002082

APA

Kucharski, A. J., Lessler, J., Read, J. M., Zhu, H., Jiang, C. Q., Guan, Y., Cummings, D. A. T., & Riley, S. (2015). Estimating the Life Course of Influenza A (H3N2) Antibody Responses from Cross-Sectional Data. Plos Biology, 13(3), [1002082]. https://doi.org/10.1371/journal.pbio.1002082

Vancouver

Kucharski AJ, Lessler J, Read JM, Zhu H, Jiang CQ, Guan Y et al. Estimating the Life Course of Influenza A (H3N2) Antibody Responses from Cross-Sectional Data. Plos Biology. 2015 Mar 3;13(3). 1002082. https://doi.org/10.1371/journal.pbio.1002082

Author

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. In: Plos Biology. 2015 ; Vol. 13, No. 3.

Bibtex

@article{b9db88e6e173437abfa304406b55db58,
title = "Estimating the Life Course of Influenza A (H3N2) Antibody Responses from Cross-Sectional Data",
abstract = "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.",
keywords = "ORIGINAL ANTIGENIC SIN, PANDEMIC INFLUENZA, IMMUNE-RESPONSE, VIRUS INFECTION, VACCINATION, EVOLUTION, DETERMINANTS, HUMANS, HEMAGGLUTININ, POPULATION",
author = "Kucharski, {Adam J.} and Justin Lessler and Read, {Jonathan M.} and Huachen Zhu and Jiang, {Chao Qiang} and Yi Guan and Cummings, {Derek A. T.} and Steven Riley",
year = "2015",
month = mar,
day = "3",
doi = "10.1371/journal.pbio.1002082",
language = "English",
volume = "13",
journal = "Plos Biology",
issn = "1544-9173",
publisher = "Public Library of Science",
number = "3",

}

RIS

TY - JOUR

T1 - Estimating the Life Course of Influenza A (H3N2) Antibody Responses from Cross-Sectional Data

AU - Kucharski, Adam J.

AU - Lessler, Justin

AU - Read, Jonathan M.

AU - Zhu, Huachen

AU - Jiang, Chao Qiang

AU - Guan, Yi

AU - Cummings, Derek A. T.

AU - Riley, Steven

PY - 2015/3/3

Y1 - 2015/3/3

N2 - 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.

AB - 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.

KW - ORIGINAL ANTIGENIC SIN

KW - PANDEMIC INFLUENZA

KW - IMMUNE-RESPONSE

KW - VIRUS INFECTION

KW - VACCINATION

KW - EVOLUTION

KW - DETERMINANTS

KW - HUMANS

KW - HEMAGGLUTININ

KW - POPULATION

U2 - 10.1371/journal.pbio.1002082

DO - 10.1371/journal.pbio.1002082

M3 - Journal article

VL - 13

JO - Plos Biology

JF - Plos Biology

SN - 1544-9173

IS - 3

M1 - 1002082

ER -