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Pandemic Paradox: Early Life H2N2 Pandemic Influenza Infection Enhanced Susceptibility to Death during the 2009 H1N1 Pandemic

Identifieur interne : 000C56 ( Pmc/Curation ); précédent : 000C55; suivant : 000C57

Pandemic Paradox: Early Life H2N2 Pandemic Influenza Infection Enhanced Susceptibility to Death during the 2009 H1N1 Pandemic

Auteurs : Alain Gagnon [Canada] ; Enrique Acosta [Canada] ; Stacey Hallman [Canada] ; Robert Bourbeau [Canada] ; Lisa Y. Dillon [Canada] ; Nadine Ouellette [Canada] ; David J. D. Earn [Canada] ; D. Ann Herring [Canada] ; Kris Inwood [Canada] ; Joaquin Madrenas [États-Unis] ; Matthew S. Miller [Canada]

Source :

RBID : PMC:5770550

Abstract

ABSTRACT

Recent outbreaks of H5, H7, and H9 influenza A viruses in humans have served as a vivid reminder of the potentially devastating effects that a novel pandemic could exert on the modern world. Those who have survived infections with influenza viruses in the past have been protected from subsequent antigenically similar pandemics through adaptive immunity. For example, during the 2009 H1N1 “swine flu” pandemic, those exposed to H1N1 viruses that circulated between 1918 and the 1940s were at a decreased risk for mortality as a result of their previous immunity. It is also generally thought that past exposures to antigenically dissimilar strains of influenza virus may also be beneficial due to cross-reactive cellular immunity. However, cohorts born during prior heterosubtypic pandemics have previously experienced elevated risk of death relative to surrounding cohorts of the same population. Indeed, individuals born during the 1890 H3Nx pandemic experienced the highest levels of excess mortality during the 1918 “Spanish flu.” Applying Serfling models to monthly mortality and influenza circulation data between October 1997 and July 2014 in the United States and Mexico, we show corresponding peaks in excess mortality during the 2009 H1N1 “swine flu” pandemic and during the resurgent 2013–2014 H1N1 outbreak for those born at the time of the 1957 H2N2 “Asian flu” pandemic. We suggest that the phenomenon observed in 1918 is not unique and points to exposure to pandemic influenza early in life as a risk factor for mortality during subsequent heterosubtypic pandemics.


Url:
DOI: 10.1128/mBio.02091-17
PubMed: 29339427
PubMed Central: 5770550

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PMC:5770550

Le document en format XML

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<p>Recent outbreaks of H5, H7, and H9 influenza A viruses in humans have served as a vivid reminder of the potentially devastating effects that a novel pandemic could exert on the modern world. Those who have survived infections with influenza viruses in the past have been protected from subsequent antigenically similar pandemics through adaptive immunity. For example, during the 2009 H1N1 “swine flu” pandemic, those exposed to H1N1 viruses that circulated between 1918 and the 1940s were at a decreased risk for mortality as a result of their previous immunity. It is also generally thought that past exposures to antigenically dissimilar strains of influenza virus may also be beneficial due to cross-reactive cellular immunity. However, cohorts born during prior heterosubtypic pandemics have previously experienced elevated risk of death relative to surrounding cohorts of the same population. Indeed, individuals born during the 1890 H3Nx pandemic experienced the highest levels of excess mortality during the 1918 “Spanish flu.” Applying Serfling models to monthly mortality and influenza circulation data between October 1997 and July 2014 in the United States and Mexico, we show corresponding peaks in excess mortality during the 2009 H1N1 “swine flu” pandemic and during the resurgent 2013–2014 H1N1 outbreak for those born at the time of the 1957 H2N2 “Asian flu” pandemic. We suggest that the phenomenon observed in 1918 is not unique and points to exposure to pandemic influenza early in life as a risk factor for mortality during subsequent heterosubtypic pandemics.</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">mBio</journal-id>
<journal-id journal-id-type="iso-abbrev">MBio</journal-id>
<journal-id journal-id-type="hwp">mbio</journal-id>
<journal-id journal-id-type="pmc">mbio</journal-id>
<journal-id journal-id-type="publisher-id">mBio</journal-id>
<journal-title-group>
<journal-title>mBio</journal-title>
</journal-title-group>
<issn pub-type="epub">2150-7511</issn>
<publisher>
<publisher-name>American Society for Microbiology</publisher-name>
<publisher-loc>1752 N St., N.W., Washington, DC</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">29339427</article-id>
<article-id pub-id-type="pmc">5770550</article-id>
<article-id pub-id-type="publisher-id">mBio02091-17</article-id>
<article-id pub-id-type="doi">10.1128/mBio.02091-17</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Pandemic Paradox: Early Life H2N2 Pandemic Influenza Infection Enhanced Susceptibility to Death during the 2009 H1N1 Pandemic</article-title>
<alt-title alt-title-type="running-head">Enhanced Susceptibility to Mortality from Influenza</alt-title>
<alt-title alt-title-type="short-authors">Gagnon et al.</alt-title>
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<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Gagnon</surname>
<given-names>Alain</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>a</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>b</sup>
</xref>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Acosta</surname>
<given-names>Enrique</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>a</sup>
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</contrib>
<contrib contrib-type="author" equal-contrib="no">
<name>
<surname>Hallman</surname>
<given-names>Stacey</given-names>
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<xref ref-type="aff" rid="aff3">
<sup>c</sup>
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<contrib contrib-type="author" equal-contrib="no">
<name>
<surname>Bourbeau</surname>
<given-names>Robert</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>a</sup>
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<contrib contrib-type="author" equal-contrib="no">
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<surname>Dillon</surname>
<given-names>Lisa Y.</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>a</sup>
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<surname>Ouellette</surname>
<given-names>Nadine</given-names>
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<xref ref-type="aff" rid="aff1">
<sup>a</sup>
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<surname>Earn</surname>
<given-names>David J. D.</given-names>
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<xref ref-type="aff" rid="aff4">
<sup>d</sup>
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<xref ref-type="aff" rid="aff5">
<sup>e</sup>
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<contrib contrib-type="author" equal-contrib="no">
<name>
<surname>Herring</surname>
<given-names>D. Ann</given-names>
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<xref ref-type="aff" rid="aff6">
<sup>f</sup>
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<contrib contrib-type="author" equal-contrib="no">
<name>
<surname>Inwood</surname>
<given-names>Kris</given-names>
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<xref ref-type="aff" rid="aff7">
<sup>g</sup>
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<contrib contrib-type="author" equal-contrib="no">
<name>
<surname>Madrenas</surname>
<given-names>Joaquin</given-names>
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<xref ref-type="aff" rid="aff8">
<sup>h</sup>
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<contrib contrib-type="author" corresp="yes" equal-contrib="yes">
<name>
<surname>Miller</surname>
<given-names>Matthew S.</given-names>
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<xref ref-type="aff" rid="aff5">
<sup>e</sup>
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<xref ref-type="aff" rid="aff9">
<sup>i</sup>
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</contrib>
<aff id="aff1">
<label>a</label>
<addr-line>Department of Demography, Université de Montréal, Montréal, Canada</addr-line>
</aff>
<aff id="aff2">
<label>b</label>
<addr-line>Université de Montréal Public Health Research Institute (IRSPUM), Montréal, Canada</addr-line>
</aff>
<aff id="aff3">
<label>c</label>
<addr-line>Statistics Canada, Ottawa, Canada</addr-line>
</aff>
<aff id="aff4">
<label>d</label>
<addr-line>Department of Mathematics and Statistics, McMaster University, Hamilton, Canada</addr-line>
</aff>
<aff id="aff5">
<label>e</label>
<addr-line>Michael G. DeGroote Institute for Infectious Diseases Research, McMaster University, Hamilton, Canada</addr-line>
</aff>
<aff id="aff6">
<label>f</label>
<addr-line>Department of Anthropology, McMaster University, Hamilton, Canada</addr-line>
</aff>
<aff id="aff7">
<label>g</label>
<addr-line>Department of Economics and Finance, Department of History, University of Guelph, Guelph, Canada</addr-line>
</aff>
<aff id="aff8">
<label>h</label>
<addr-line>Los Angeles Biomedical Research Institute at Harbor, UCLA Medical Center, Los Angeles, California, USA</addr-line>
</aff>
<aff id="aff9">
<label>i</label>
<addr-line>Department of Biochemistry and Biomedical Sciences, McMaster Immunology Research Centre, McMaster University, Hamilton, Canada</addr-line>
</aff>
</contrib-group>
<contrib-group>
<contrib contrib-type="editor">
<name>
<surname>Lipkin</surname>
<given-names>W. Ian</given-names>
</name>
<role>Editor</role>
<aff>Mailman School of Public Health, Columbia University</aff>
</contrib>
</contrib-group>
<author-notes>
<corresp id="cor1">Address correspondence to Matthew S. Miller,
<email>mmiller@mcmaster.ca</email>
.</corresp>
<fn fn-type="equal">
<p>Alain Gagnon, Enrique Acosta, and Matthew S. Miller contributed equally.</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>16</day>
<month>1</month>
<year>2018</year>
</pub-date>
<pub-date pub-type="collection">
<season>Jan-Feb</season>
<year>2018</year>
</pub-date>
<volume>9</volume>
<issue>1</issue>
<elocation-id>e02091-17</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>11</month>
<year>2017</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>11</month>
<year>2017</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright © 2018 Gagnon et al.</copyright-statement>
<copyright-year>2018</copyright-year>
<copyright-holder>Gagnon et al.</copyright-holder>
<license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/">
<license-p>This is an open-access article distributed under the terms of the
<ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International license</ext-link>
.</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:href="mbo001183684001.pdf"></self-uri>
<abstract>
<title>ABSTRACT</title>
<p>Recent outbreaks of H5, H7, and H9 influenza A viruses in humans have served as a vivid reminder of the potentially devastating effects that a novel pandemic could exert on the modern world. Those who have survived infections with influenza viruses in the past have been protected from subsequent antigenically similar pandemics through adaptive immunity. For example, during the 2009 H1N1 “swine flu” pandemic, those exposed to H1N1 viruses that circulated between 1918 and the 1940s were at a decreased risk for mortality as a result of their previous immunity. It is also generally thought that past exposures to antigenically dissimilar strains of influenza virus may also be beneficial due to cross-reactive cellular immunity. However, cohorts born during prior heterosubtypic pandemics have previously experienced elevated risk of death relative to surrounding cohorts of the same population. Indeed, individuals born during the 1890 H3Nx pandemic experienced the highest levels of excess mortality during the 1918 “Spanish flu.” Applying Serfling models to monthly mortality and influenza circulation data between October 1997 and July 2014 in the United States and Mexico, we show corresponding peaks in excess mortality during the 2009 H1N1 “swine flu” pandemic and during the resurgent 2013–2014 H1N1 outbreak for those born at the time of the 1957 H2N2 “Asian flu” pandemic. We suggest that the phenomenon observed in 1918 is not unique and points to exposure to pandemic influenza early in life as a risk factor for mortality during subsequent heterosubtypic pandemics.</p>
</abstract>
<abstract abstract-type="executive-summary">
<title>IMPORTANCE</title>
<p>The relatively low mortality experienced by older individuals during the 2009 H1N1 influenza virus pandemic has been well documented. However, reported situations in which previous influenza virus exposures have enhanced susceptibility are rare and poorly understood. One such instance occurred in 1918—when those born during the heterosubtypic 1890 H3Nx influenza virus pandemic experienced the highest levels of excess mortality. Here, we demonstrate that this phenomenon was not unique to the 1918 H1N1 pandemic but that it also occurred during the contemporary 2009 H1N1 pandemic and 2013–2014 H1N1-dominated season for those born during the heterosubtypic 1957 H2N2 “Asian flu” pandemic. These data highlight the heretofore underappreciated phenomenon that, in certain instances, prior exposure to pandemic influenza virus strains can enhance susceptibility during subsequent pandemics. These results have important implications for pandemic risk assessment and should inform laboratory studies aimed at uncovering the mechanism responsible for this effect.</p>
</abstract>
<kwd-group>
<title>KEYWORDS</title>
<kwd>influenza virus</kwd>
<kwd>mortality</kwd>
<kwd>pandemics</kwd>
<kwd>susceptibility</kwd>
</kwd-group>
<funding-group>
<award-group id="award1">
<funding-source>
<institution-wrap>
<institution>Government of Ontario</institution>
</institution-wrap>
</funding-source>
<principal-award-recipient>
<name>
<surname>Miller</surname>
<given-names>Matthew S.</given-names>
</name>
</principal-award-recipient>
</award-group>
<award-group id="award2">
<funding-source>
<institution-wrap>
<institution>Gouvernement du Canada | Canadian Institutes of Health Research (CIHR)</institution>
<institution-id>https://doi.org/10.13039/501100000024</institution-id>
</institution-wrap>
</funding-source>
<principal-award-recipient>
<name>
<surname>Gagnon</surname>
<given-names>Alain</given-names>
</name>
</principal-award-recipient>
</award-group>
<award-group id="award3">
<funding-source>
<institution-wrap>
<institution>Gouvernement du Canada | Canadian Institutes of Health Research (CIHR)</institution>
<institution-id>https://doi.org/10.13039/501100000024</institution-id>
</institution-wrap>
</funding-source>
<principal-award-recipient>
<name>
<surname>Miller</surname>
<given-names>Matthew S.</given-names>
</name>
</principal-award-recipient>
</award-group>
</funding-group>
<counts>
<count count="7" count-type="supplementary-material"></count>
<fig-count count="7"></fig-count>
<table-count count="0"></table-count>
<equation-count count="7"></equation-count>
<ref-count count="55"></ref-count>
<page-count count="15"></page-count>
<word-count count="11440"></word-count>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>cover-date</meta-name>
<meta-value>January/February 2018</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
</pmc>
</record>

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