Literature DB >> 22209755

Age profile of immunity to influenza: effect of original antigenic sin.

Adam J Kucharski1, Julia R Gog.   

Abstract

When multiple infections are possible during an individual's lifetime, as with influenza, a host's history of infection and immunity will determine the result of future exposures. In turn, the suite of varying individual infection histories will shape the population level dynamics of the disease. Exploring the consequences of precisely how immunity is acquired using mathematical models has proven challenging though: if n strains have circulated previously, there are 2(n) combinations of past infection to consider. However, by using an age-structured mathematical model of a disease with multiple strains, we can examine the population immune profile without explicitly keeping track of all possible infection histories. This framework allows previously unknown consequences of assumptions about immune acquisition to be observed. In particular, we see that 'original antigenic sin' can reduce immunity in some age groups: these immune blind spots could be responsible for the unexpectedly high severity of certain past influenza epidemics.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22209755     DOI: 10.1016/j.tpb.2011.12.006

Source DB:  PubMed          Journal:  Theor Popul Biol        ISSN: 0040-5809            Impact factor:   1.570


  12 in total

Review 1.  Capturing the dynamics of pathogens with many strains.

Authors:  Adam J Kucharski; Viggo Andreasen; Julia R Gog
Journal:  J Math Biol       Date:  2015-03-24       Impact factor: 2.259

2.  Coinfections by noninteracting pathogens are not independent and require new tests of interaction.

Authors:  Frédéric M Hamelin; Linda J S Allen; Vrushali A Bokil; Louis J Gross; Frank M Hilker; Michael J Jeger; Carrie A Manore; Alison G Power; Megan A Rúa; Nik J Cunniffe
Journal:  PLoS Biol       Date:  2019-12-03       Impact factor: 8.029

3.  Humans and ferrets with prior H1N1 influenza virus infections do not exhibit evidence of original antigenic sin after infection or vaccination with the 2009 pandemic H1N1 influenza virus.

Authors:  Christopher D O'Donnell; Amber Wright; Leatrice Vogel; Kobporn Boonnak; John J Treanor; Kanta Subbarao
Journal:  Clin Vaccine Immunol       Date:  2014-03-19

4.  Cross-immunity and age patterns of influenza A(H5N1) infection.

Authors:  A J Kucharski; W J Edmunds
Journal:  Epidemiol Infect       Date:  2014-08-13       Impact factor: 2.451

5.  Estimating the life course of influenza A(H3N2) antibody responses from cross-sectional data.

Authors:  Adam J Kucharski; Justin Lessler; Jonathan M Read; Huachen Zhu; Chao Qiang Jiang; Yi Guan; Derek A T Cummings; Steven Riley
Journal:  PLoS Biol       Date:  2015-03-03       Impact factor: 8.029

6.  Nine challenges for deterministic epidemic models.

Authors:  Mick Roberts; Viggo Andreasen; Alun Lloyd; Lorenzo Pellis
Journal:  Epidemics       Date:  2014-09-27       Impact factor: 4.396

7.  Characterising seasonal influenza epidemiology using primary care surveillance data.

Authors:  Robert C Cope; Joshua V Ross; Monique Chilver; Nigel P Stocks; Lewis Mitchell
Journal:  PLoS Comput Biol       Date:  2018-08-16       Impact factor: 4.475

8.  Lineage-specific protection and immune imprinting shape the age distributions of influenza B cases.

Authors:  Marcos C Vieira; Celeste M Donato; Philip Arevalo; Guus F Rimmelzwaan; Timothy Wood; Liza Lopez; Q Sue Huang; Vijaykrishna Dhanasekaran; Katia Koelle; Sarah Cobey
Journal:  Nat Commun       Date:  2021-07-14       Impact factor: 14.919

9.  The role of social contacts and original antigenic sin in shaping the age pattern of immunity to seasonal influenza.

Authors:  Adam J Kucharski; Julia R Gog
Journal:  PLoS Comput Biol       Date:  2012-10-25       Impact factor: 4.475

10.  The role of human immunity and social behavior in shaping influenza evolution.

Authors:  Adam J Kucharski; Marc Baguelin
Journal:  PLoS Pathog       Date:  2017-08-03       Impact factor: 6.823

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