Serveur d'exploration H2N2

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Evidence for Antigenic Seniority in Influenza A (H3N2) Antibody Responses in Southern China

Identifieur interne : 000795 ( Ncbi/Merge ); précédent : 000794; suivant : 000796

Evidence for Antigenic Seniority in Influenza A (H3N2) Antibody Responses in Southern China

Auteurs : Justin Lessler [États-Unis] ; Steven Riley [Royaume-Uni] ; Jonathan M. Read [Royaume-Uni] ; Shuying Wang [République populaire de Chine] ; Huachen Zhu [République populaire de Chine] ; Gavin J. D. Smith [Singapour] ; Yi Guan [République populaire de Chine] ; Chao Qiang Jiang [République populaire de Chine] ; Derek A. T. Cummings [États-Unis]

Source :

RBID : PMC:3400560

Abstract

A key observation about the human immune response to repeated exposure to influenza A is that the first strain infecting an individual apparently produces the strongest adaptive immune response. Although antibody titers measure that response, the interpretation of titers to multiple strains – from the same sera – in terms of infection history is clouded by age effects, cross reactivity and immune waning. From July to September 2009, we collected serum samples from 151 residents of Guangdong Province, China, 7 to 81 years of age. Neutralization tests were performed against strains representing six antigenic clusters of H3N2 influenza circulating between 1968 and 2008, and three recent locally circulating strains. Patterns of neutralization titers were compared based on age at time of testing and age at time of the first isolation of each virus. Neutralization titers were highest for H3N2 strains that circulated in an individual's first decade of life (peaking at 7 years). Further, across strains and ages at testing, statistical models strongly supported a pattern of titers declining smoothly with age at the time a strain was first isolated. Those born 10 or more years after a strain emerged generally had undetectable neutralization titers to that strain (<1∶10). Among those over 60 at time of testing, titers tended to increase with age. The observed pattern in H3N2 neutralization titers can be characterized as one of antigenic seniority: repeated exposure and the immune response combine to produce antibody titers that are higher to more ‘senior’ strains encountered earlier in life.


Url:
DOI: 10.1371/journal.ppat.1002802
PubMed: 22829765
PubMed Central: 3400560

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PMC:3400560

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<p>A key observation about the human immune response to repeated exposure to influenza A is that the first strain infecting an individual apparently produces the strongest adaptive immune response. Although antibody titers measure that response, the interpretation of titers to multiple strains – from the same sera – in terms of infection history is clouded by age effects, cross reactivity and immune waning. From July to September 2009, we collected serum samples from 151 residents of Guangdong Province, China, 7 to 81 years of age. Neutralization tests were performed against strains representing six antigenic clusters of H3N2 influenza circulating between 1968 and 2008, and three recent locally circulating strains. Patterns of neutralization titers were compared based on age at time of testing and age at time of the first isolation of each virus. Neutralization titers were highest for H3N2 strains that circulated in an individual's first decade of life (peaking at 7 years). Further, across strains and ages at testing, statistical models strongly supported a pattern of titers declining smoothly with age at the time a strain was first isolated. Those born 10 or more years after a strain emerged generally had undetectable neutralization titers to that strain (<1∶10). Among those over 60 at time of testing, titers tended to increase with age. The observed pattern in H3N2 neutralization titers can be characterized as one of antigenic seniority: repeated exposure and the immune response combine to produce antibody titers that are higher to more ‘senior’ strains encountered earlier in life.</p>
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<pmc article-type="research-article">
<pmc-dir>properties open_access</pmc-dir>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">PLoS Pathog</journal-id>
<journal-id journal-id-type="iso-abbrev">PLoS Pathog</journal-id>
<journal-id journal-id-type="publisher-id">plos</journal-id>
<journal-id journal-id-type="pmc">plospath</journal-id>
<journal-title-group>
<journal-title>PLoS Pathogens</journal-title>
</journal-title-group>
<issn pub-type="ppub">1553-7366</issn>
<issn pub-type="epub">1553-7374</issn>
<publisher>
<publisher-name>Public Library of Science</publisher-name>
<publisher-loc>San Francisco, USA</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">22829765</article-id>
<article-id pub-id-type="pmc">3400560</article-id>
<article-id pub-id-type="publisher-id">PPATHOGENS-D-11-02017</article-id>
<article-id pub-id-type="doi">10.1371/journal.ppat.1002802</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Article</subject>
</subj-group>
<subj-group subj-group-type="Discipline-v2">
<subject>Biology</subject>
<subj-group>
<subject>Population Biology</subject>
<subj-group>
<subject>Population Dynamics</subject>
<subj-group>
<subject>Disease Dynamics</subject>
</subj-group>
</subj-group>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Evidence for Antigenic Seniority in Influenza A (H3N2) Antibody Responses in Southern China</article-title>
<alt-title alt-title-type="running-head">Antigenic Seniority of Influenza A H3N2</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Lessler</surname>
<given-names>Justin</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Riley</surname>
<given-names>Steven</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="corresp" rid="cor1">
<sup>*</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Read</surname>
<given-names>Jonathan M.</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Wang</surname>
<given-names>Shuying</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhu</surname>
<given-names>Huachen</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Smith</surname>
<given-names>Gavin J. D.</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Guan</surname>
<given-names>Yi</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Jiang</surname>
<given-names>Chao Qiang</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cummings</surname>
<given-names>Derek A. T.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<label>1</label>
<addr-line>Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>School of Public Health, Department of Infectious Disease Epidemiology, MRC Centre for Outbreak Analysis and Modelling, Imperial College, London, United Kingdom</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>Department of Epidemiology and Population Health, Institute of Infection and Global Health, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, United Kingdom</addr-line>
</aff>
<aff id="aff4">
<label>4</label>
<addr-line>Guangzhou No. 12 Hospital, Guangzhou, Guangdong, China</addr-line>
</aff>
<aff id="aff5">
<label>5</label>
<addr-line>International Institute of Infection and Immunity, Shantou University Medical College, Shantou, Guangdong, China</addr-line>
</aff>
<aff id="aff6">
<label>6</label>
<addr-line>Department of Microbiology, The University of Hong Kong, Hong Kong SAR, China</addr-line>
</aff>
<aff id="aff7">
<label>7</label>
<addr-line>Laboratory of Virus Evolution, Program in Emerging Infectious Diseases, Duke-NUS Graduate Medical School, Singapore, Singapore</addr-line>
</aff>
<contrib-group>
<contrib contrib-type="editor">
<name>
<surname>Basler</surname>
<given-names>Christopher F.</given-names>
</name>
<role>Editor</role>
<xref ref-type="aff" rid="edit1"></xref>
</contrib>
</contrib-group>
<aff id="edit1">Mount Sinai School of Medicine, United States of America</aff>
<author-notes>
<corresp id="cor1">* E-mail:
<email>s.riley@imperial.ac.uk</email>
</corresp>
<fn fn-type="con">
<p>Conceived and designed the experiments: SR DATC JMR GJDS CQJ YG. Performed the experiments: SW HZ. Analyzed the data: SR DATC JMR. Wrote the paper: JL SR JMR DATC.</p>
</fn>
</author-notes>
<pub-date pub-type="collection">
<month>7</month>
<year>2012</year>
</pub-date>
<pub-date pub-type="epub">
<day>19</day>
<month>7</month>
<year>2012</year>
</pub-date>
<volume>8</volume>
<issue>7</issue>
<elocation-id>e1002802</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>9</month>
<year>2011</year>
</date>
<date date-type="accepted">
<day>1</day>
<month>6</month>
<year>2012</year>
</date>
</history>
<permissions>
<copyright-statement>Lessler et al.</copyright-statement>
<copyright-year>2012</copyright-year>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<license-p>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.</license-p>
</license>
</permissions>
<abstract>
<p>A key observation about the human immune response to repeated exposure to influenza A is that the first strain infecting an individual apparently produces the strongest adaptive immune response. Although antibody titers measure that response, the interpretation of titers to multiple strains – from the same sera – in terms of infection history is clouded by age effects, cross reactivity and immune waning. From July to September 2009, we collected serum samples from 151 residents of Guangdong Province, China, 7 to 81 years of age. Neutralization tests were performed against strains representing six antigenic clusters of H3N2 influenza circulating between 1968 and 2008, and three recent locally circulating strains. Patterns of neutralization titers were compared based on age at time of testing and age at time of the first isolation of each virus. Neutralization titers were highest for H3N2 strains that circulated in an individual's first decade of life (peaking at 7 years). Further, across strains and ages at testing, statistical models strongly supported a pattern of titers declining smoothly with age at the time a strain was first isolated. Those born 10 or more years after a strain emerged generally had undetectable neutralization titers to that strain (<1∶10). Among those over 60 at time of testing, titers tended to increase with age. The observed pattern in H3N2 neutralization titers can be characterized as one of antigenic seniority: repeated exposure and the immune response combine to produce antibody titers that are higher to more ‘senior’ strains encountered earlier in life.</p>
</abstract>
<abstract abstract-type="summary">
<title>Author Summary</title>
<p>The human immune response to an influenza infection is not the same for every infection. It has often been observed that we tend to have the highest antibody titer (and presumably our strongest immune response) against strains of influenza that we were exposed to early in life. In this study, we obtained blood samples from 151 people between 7 and 81 years of age and tested the samples for the concentration of antibodies to many different (H3N2) strains. We chose strains according to when they first circulated, starting with a strain isolated just after the 1968 pandemic and going all the way through to very recent strains. We found that a participant's age at the time a strain first circulated was very predictive of the strength of their antibody against that strain. Not just for the first strain they were likely to have seen, but also for the second, third and all subsequent strains circulating during their lifetime. This suggests to us that antibody titers to influenza A H3N2 follow a pattern of antigenic seniority, suggesting that we produce progressively fewer specific antibodies to each subsequent infection as we age.</p>
</abstract>
<counts>
<page-count count="11"></page-count>
</counts>
</article-meta>
</front>
</pmc>
<affiliations>
<list>
<country>
<li>Royaume-Uni</li>
<li>République populaire de Chine</li>
<li>Singapour</li>
<li>États-Unis</li>
</country>
<region>
<li>Angleterre</li>
<li>Grand Londres</li>
<li>Maryland</li>
</region>
<settlement>
<li>Londres</li>
</settlement>
</list>
<tree>
<country name="États-Unis">
<region name="Maryland">
<name sortKey="Lessler, Justin" sort="Lessler, Justin" uniqKey="Lessler J" first="Justin" last="Lessler">Justin Lessler</name>
</region>
<name sortKey="Cummings, Derek A T" sort="Cummings, Derek A T" uniqKey="Cummings D" first="Derek A. T." last="Cummings">Derek A. T. Cummings</name>
</country>
<country name="Royaume-Uni">
<region name="Angleterre">
<name sortKey="Riley, Steven" sort="Riley, Steven" uniqKey="Riley S" first="Steven" last="Riley">Steven Riley</name>
</region>
<name sortKey="Read, Jonathan M" sort="Read, Jonathan M" uniqKey="Read J" first="Jonathan M." last="Read">Jonathan M. Read</name>
</country>
<country name="République populaire de Chine">
<noRegion>
<name sortKey="Wang, Shuying" sort="Wang, Shuying" uniqKey="Wang S" first="Shuying" last="Wang">Shuying Wang</name>
</noRegion>
<name sortKey="Guan, Yi" sort="Guan, Yi" uniqKey="Guan Y" first="Yi" last="Guan">Yi Guan</name>
<name sortKey="Guan, Yi" sort="Guan, Yi" uniqKey="Guan Y" first="Yi" last="Guan">Yi Guan</name>
<name sortKey="Jiang, Chao Qiang" sort="Jiang, Chao Qiang" uniqKey="Jiang C" first="Chao Qiang" last="Jiang">Chao Qiang Jiang</name>
<name sortKey="Zhu, Huachen" sort="Zhu, Huachen" uniqKey="Zhu H" first="Huachen" last="Zhu">Huachen Zhu</name>
<name sortKey="Zhu, Huachen" sort="Zhu, Huachen" uniqKey="Zhu H" first="Huachen" last="Zhu">Huachen Zhu</name>
</country>
<country name="Singapour">
<noRegion>
<name sortKey="Smith, Gavin J D" sort="Smith, Gavin J D" uniqKey="Smith G" first="Gavin J. D." last="Smith">Gavin J. D. Smith</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>

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