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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Immunity toward H1N1 influenza hemagglutinin of historical and contemporary strains suggests protection and vaccine failure</title>
<author><name sortKey="Huang, Stephen S H" sort="Huang, Stephen S H" uniqKey="Huang S" first="Stephen S. H." last="Huang">Stephen S. H. Huang</name>
<affiliation><nlm:aff id="a1"><institution>Division of Experimental Therapeutics, Toronto General Research Institute, University Health Network</institution>
, Toronto, Ontario, Canada</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a2"><institution>Department of Immunology, Faculty of Medicine, University of Toronto</institution>
, Toronto, Ontario, Canada</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a8">These authors contributed equally to this work.</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Lin, Zhen" sort="Lin, Zhen" uniqKey="Lin Z" first="Zhen" last="Lin">Zhen Lin</name>
<affiliation><nlm:aff id="a1"><institution>Division of Experimental Therapeutics, Toronto General Research Institute, University Health Network</institution>
, Toronto, Ontario, Canada</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a5"><institution>International Institute of Infection and Immunity, Shantou University Medical College</institution>
, Shantou, Guangdong, China</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a8">These authors contributed equally to this work.</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Banner, David" sort="Banner, David" uniqKey="Banner D" first="David" last="Banner">David Banner</name>
<affiliation><nlm:aff id="a1"><institution>Division of Experimental Therapeutics, Toronto General Research Institute, University Health Network</institution>
, Toronto, Ontario, Canada</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Le N, Alberto J" sort="Le N, Alberto J" uniqKey="Le N A" first="Alberto J." last="Le N">Alberto J. Le N</name>
<affiliation><nlm:aff id="a1"><institution>Division of Experimental Therapeutics, Toronto General Research Institute, University Health Network</institution>
, Toronto, Ontario, Canada</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a5"><institution>International Institute of Infection and Immunity, Shantou University Medical College</institution>
, Shantou, Guangdong, China</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Paquette, Stephane G" sort="Paquette, Stephane G" uniqKey="Paquette S" first="Stéphane G." last="Paquette">Stéphane G. Paquette</name>
<affiliation><nlm:aff id="a1"><institution>Division of Experimental Therapeutics, Toronto General Research Institute, University Health Network</institution>
, Toronto, Ontario, Canada</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a6"><institution>Institute of Medical Science, Faculty of Medicine, University of Toronto</institution>
, Toronto, Ontario, Canada</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Rubin, Barry" sort="Rubin, Barry" uniqKey="Rubin B" first="Barry" last="Rubin">Barry Rubin</name>
<affiliation><nlm:aff id="a3"><institution>Division of Vascular Surgery, Peter Munk Cardiac Centre, Toronto General Hospital Research Institute, University Health Network</institution>
, Toronto, Ontario, Canada</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Rubino, Salvatore" sort="Rubino, Salvatore" uniqKey="Rubino S" first="Salvatore" last="Rubino">Salvatore Rubino</name>
<affiliation><nlm:aff id="a4"><institution>Universita' degli Studi di Sassari, Sezione di Microbiologia Sperimentale e Clinica</institution>
, Dipartimento di Scienze Biomediche, Viale San Pietro 43/b, 07100 Sassari, Italia</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Guan, Yi" sort="Guan, Yi" uniqKey="Guan Y" first="Yi" last="Guan">Yi Guan</name>
<affiliation><nlm:aff id="a5"><institution>International Institute of Infection and Immunity, Shantou University Medical College</institution>
, Shantou, Guangdong, China</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Kelvin, David J" sort="Kelvin, David J" uniqKey="Kelvin D" first="David J." last="Kelvin">David J. Kelvin</name>
<affiliation><nlm:aff id="a1"><institution>Division of Experimental Therapeutics, Toronto General Research Institute, University Health Network</institution>
, Toronto, Ontario, Canada</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a2"><institution>Department of Immunology, Faculty of Medicine, University of Toronto</institution>
, Toronto, Ontario, Canada</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a4"><institution>Universita' degli Studi di Sassari, Sezione di Microbiologia Sperimentale e Clinica</institution>
, Dipartimento di Scienze Biomediche, Viale San Pietro 43/b, 07100 Sassari, Italia</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a5"><institution>International Institute of Infection and Immunity, Shantou University Medical College</institution>
, Shantou, Guangdong, China</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a6"><institution>Institute of Medical Science, Faculty of Medicine, University of Toronto</institution>
, Toronto, Ontario, Canada</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Kelvin, Alyson A" sort="Kelvin, Alyson A" uniqKey="Kelvin A" first="Alyson A." last="Kelvin">Alyson A. Kelvin</name>
<affiliation><nlm:aff id="a7"><institution>Immune Diagnostics & Research</institution>
, Toronto, Ontario, Canada</nlm:aff>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PMC</idno>
<idno type="pmid">23608887</idno>
<idno type="pmc">3633051</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3633051</idno>
<idno type="RBID">PMC:3633051</idno>
<idno type="doi">10.1038/srep01698</idno>
<date when="2013">2013</date>
<idno type="wicri:Area/Pmc/Corpus">000005</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000005</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Immunity toward H1N1 influenza hemagglutinin of historical and contemporary strains suggests protection and vaccine failure</title>
<author><name sortKey="Huang, Stephen S H" sort="Huang, Stephen S H" uniqKey="Huang S" first="Stephen S. H." last="Huang">Stephen S. H. Huang</name>
<affiliation><nlm:aff id="a1"><institution>Division of Experimental Therapeutics, Toronto General Research Institute, University Health Network</institution>
, Toronto, Ontario, Canada</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a2"><institution>Department of Immunology, Faculty of Medicine, University of Toronto</institution>
, Toronto, Ontario, Canada</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a8">These authors contributed equally to this work.</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Lin, Zhen" sort="Lin, Zhen" uniqKey="Lin Z" first="Zhen" last="Lin">Zhen Lin</name>
<affiliation><nlm:aff id="a1"><institution>Division of Experimental Therapeutics, Toronto General Research Institute, University Health Network</institution>
, Toronto, Ontario, Canada</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a5"><institution>International Institute of Infection and Immunity, Shantou University Medical College</institution>
, Shantou, Guangdong, China</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a8">These authors contributed equally to this work.</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Banner, David" sort="Banner, David" uniqKey="Banner D" first="David" last="Banner">David Banner</name>
<affiliation><nlm:aff id="a1"><institution>Division of Experimental Therapeutics, Toronto General Research Institute, University Health Network</institution>
, Toronto, Ontario, Canada</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Le N, Alberto J" sort="Le N, Alberto J" uniqKey="Le N A" first="Alberto J." last="Le N">Alberto J. Le N</name>
<affiliation><nlm:aff id="a1"><institution>Division of Experimental Therapeutics, Toronto General Research Institute, University Health Network</institution>
, Toronto, Ontario, Canada</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a5"><institution>International Institute of Infection and Immunity, Shantou University Medical College</institution>
, Shantou, Guangdong, China</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Paquette, Stephane G" sort="Paquette, Stephane G" uniqKey="Paquette S" first="Stéphane G." last="Paquette">Stéphane G. Paquette</name>
<affiliation><nlm:aff id="a1"><institution>Division of Experimental Therapeutics, Toronto General Research Institute, University Health Network</institution>
, Toronto, Ontario, Canada</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a6"><institution>Institute of Medical Science, Faculty of Medicine, University of Toronto</institution>
, Toronto, Ontario, Canada</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Rubin, Barry" sort="Rubin, Barry" uniqKey="Rubin B" first="Barry" last="Rubin">Barry Rubin</name>
<affiliation><nlm:aff id="a3"><institution>Division of Vascular Surgery, Peter Munk Cardiac Centre, Toronto General Hospital Research Institute, University Health Network</institution>
, Toronto, Ontario, Canada</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Rubino, Salvatore" sort="Rubino, Salvatore" uniqKey="Rubino S" first="Salvatore" last="Rubino">Salvatore Rubino</name>
<affiliation><nlm:aff id="a4"><institution>Universita' degli Studi di Sassari, Sezione di Microbiologia Sperimentale e Clinica</institution>
, Dipartimento di Scienze Biomediche, Viale San Pietro 43/b, 07100 Sassari, Italia</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Guan, Yi" sort="Guan, Yi" uniqKey="Guan Y" first="Yi" last="Guan">Yi Guan</name>
<affiliation><nlm:aff id="a5"><institution>International Institute of Infection and Immunity, Shantou University Medical College</institution>
, Shantou, Guangdong, China</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Kelvin, David J" sort="Kelvin, David J" uniqKey="Kelvin D" first="David J." last="Kelvin">David J. Kelvin</name>
<affiliation><nlm:aff id="a1"><institution>Division of Experimental Therapeutics, Toronto General Research Institute, University Health Network</institution>
, Toronto, Ontario, Canada</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a2"><institution>Department of Immunology, Faculty of Medicine, University of Toronto</institution>
, Toronto, Ontario, Canada</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a4"><institution>Universita' degli Studi di Sassari, Sezione di Microbiologia Sperimentale e Clinica</institution>
, Dipartimento di Scienze Biomediche, Viale San Pietro 43/b, 07100 Sassari, Italia</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a5"><institution>International Institute of Infection and Immunity, Shantou University Medical College</institution>
, Shantou, Guangdong, China</nlm:aff>
</affiliation>
<affiliation><nlm:aff id="a6"><institution>Institute of Medical Science, Faculty of Medicine, University of Toronto</institution>
, Toronto, Ontario, Canada</nlm:aff>
</affiliation>
</author>
<author><name sortKey="Kelvin, Alyson A" sort="Kelvin, Alyson A" uniqKey="Kelvin A" first="Alyson A." last="Kelvin">Alyson A. Kelvin</name>
<affiliation><nlm:aff id="a7"><institution>Immune Diagnostics & Research</institution>
, Toronto, Ontario, Canada</nlm:aff>
</affiliation>
</author>
</analytic>
<series><title level="j">Scientific Reports</title>
<idno type="eISSN">2045-2322</idno>
<imprint><date when="2013">2013</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass></textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en"><p>Evolution of H1N1 influenza A outbreaks of the past 100 years is interesting and significantly complex and details of H1N1 genetic drift remains unknown. Here we investigated the clinical characteristics and immune cross-reactivity of significant historical H1N1 strains. We infected ferrets with H1N1 strains from 1943, 1947, 1977, 1986, 1999, and 2009 and showed each produced a unique clinical signature. We found significant cross-reactivity between viruses with similar HA sequences. Interestingly, A/FortMonmouth/1/1947 antisera cross-reacted with A/USSR/90/1977 virus, thought to be a 1947 resurfaced virus. Importantly, our immunological data that didn't show cross-reactivity can be extrapolated to failure of past H1N1 influenza vaccines, ie. 1947, 1986 and 2009. Together, our results help to elucidate H1N1 immuno-genetic alterations that occurred in the past 100 years and immune responses caused by H1N1 evolution. This work will facilitate development of future influenza therapeutics and prophylactics such as influenza vaccines.</p>
</div>
</front>
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<author><name sortKey="Nei, M" uniqKey="Nei M">M. Nei</name>
</author>
</analytic>
</biblStruct>
<biblStruct><analytic><author><name sortKey="Larkin, M A" uniqKey="Larkin M">M. A. Larkin</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Sci Rep</journal-id>
<journal-id journal-id-type="iso-abbrev">Sci Rep</journal-id>
<journal-title-group><journal-title>Scientific Reports</journal-title>
</journal-title-group>
<issn pub-type="epub">2045-2322</issn>
<publisher><publisher-name>Nature Publishing Group</publisher-name>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">23608887</article-id>
<article-id pub-id-type="pmc">3633051</article-id>
<article-id pub-id-type="pii">srep01698</article-id>
<article-id pub-id-type="doi">10.1038/srep01698</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>Immunity toward H1N1 influenza hemagglutinin of historical and contemporary strains suggests protection and vaccine failure</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Huang</surname>
<given-names>Stephen S. H.</given-names>
</name>
<xref ref-type="aff" rid="a1">1</xref>
<xref ref-type="aff" rid="a2">2</xref>
<xref ref-type="aff" rid="a8">8</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Lin</surname>
<given-names>Zhen</given-names>
</name>
<xref ref-type="aff" rid="a1">1</xref>
<xref ref-type="aff" rid="a5">5</xref>
<xref ref-type="aff" rid="a8">8</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Banner</surname>
<given-names>David</given-names>
</name>
<xref ref-type="aff" rid="a1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>León</surname>
<given-names>Alberto J.</given-names>
</name>
<xref ref-type="aff" rid="a1">1</xref>
<xref ref-type="aff" rid="a5">5</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Paquette</surname>
<given-names>Stéphane G.</given-names>
</name>
<xref ref-type="aff" rid="a1">1</xref>
<xref ref-type="aff" rid="a6">6</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Rubin</surname>
<given-names>Barry</given-names>
</name>
<xref ref-type="aff" rid="a3">3</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Rubino</surname>
<given-names>Salvatore</given-names>
</name>
<xref ref-type="aff" rid="a4">4</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Guan</surname>
<given-names>Yi</given-names>
</name>
<xref ref-type="aff" rid="a5">5</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Kelvin</surname>
<given-names>David J.</given-names>
</name>
<xref ref-type="corresp" rid="c1">a</xref>
<xref ref-type="aff" rid="a1">1</xref>
<xref ref-type="aff" rid="a2">2</xref>
<xref ref-type="aff" rid="a4">4</xref>
<xref ref-type="aff" rid="a5">5</xref>
<xref ref-type="aff" rid="a6">6</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Kelvin</surname>
<given-names>Alyson A.</given-names>
</name>
<xref ref-type="aff" rid="a7">7</xref>
</contrib>
<aff id="a1"><label>1</label>
<institution>Division of Experimental Therapeutics, Toronto General Research Institute, University Health Network</institution>
, Toronto, Ontario, Canada</aff>
<aff id="a2"><label>2</label>
<institution>Department of Immunology, Faculty of Medicine, University of Toronto</institution>
, Toronto, Ontario, Canada</aff>
<aff id="a3"><label>3</label>
<institution>Division of Vascular Surgery, Peter Munk Cardiac Centre, Toronto General Hospital Research Institute, University Health Network</institution>
, Toronto, Ontario, Canada</aff>
<aff id="a4"><label>4</label>
<institution>Universita' degli Studi di Sassari, Sezione di Microbiologia Sperimentale e Clinica</institution>
, Dipartimento di Scienze Biomediche, Viale San Pietro 43/b, 07100 Sassari, Italia</aff>
<aff id="a5"><label>5</label>
<institution>International Institute of Infection and Immunity, Shantou University Medical College</institution>
, Shantou, Guangdong, China</aff>
<aff id="a6"><label>6</label>
<institution>Institute of Medical Science, Faculty of Medicine, University of Toronto</institution>
, Toronto, Ontario, Canada</aff>
<aff id="a7"><label>7</label>
<institution>Immune Diagnostics & Research</institution>
, Toronto, Ontario, Canada</aff>
<aff id="a8"><label>8</label>
These authors contributed equally to this work.</aff>
</contrib-group>
<author-notes><corresp id="c1"><label>a</label>
<email>dkelvin@jidc.org</email>
</corresp>
</author-notes>
<pub-date pub-type="epub"><day>23</day>
<month>04</month>
<year>2013</year>
</pub-date>
<pub-date pub-type="collection"><year>2013</year>
</pub-date>
<volume>3</volume>
<elocation-id>1698</elocation-id>
<history><date date-type="received"><day>08</day>
<month>01</month>
<year>2013</year>
</date>
<date date-type="accepted"><day>05</day>
<month>04</month>
<year>2013</year>
</date>
</history>
<permissions><copyright-statement>Copyright © 2013, Macmillan Publishers Limited. All rights reserved</copyright-statement>
<copyright-year>2013</copyright-year>
<copyright-holder>Macmillan Publishers Limited. All rights reserved</copyright-holder>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by-nc-nd/3.0/"><pmc-comment>author-paid</pmc-comment>
<license-p>This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License. To view a copy of this license, visit <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc-nd/3.0/">http://creativecommons.org/licenses/by-nc-nd/3.0/</ext-link>
</license-p>
</license>
</permissions>
<abstract><p>Evolution of H1N1 influenza A outbreaks of the past 100 years is interesting and significantly complex and details of H1N1 genetic drift remains unknown. Here we investigated the clinical characteristics and immune cross-reactivity of significant historical H1N1 strains. We infected ferrets with H1N1 strains from 1943, 1947, 1977, 1986, 1999, and 2009 and showed each produced a unique clinical signature. We found significant cross-reactivity between viruses with similar HA sequences. Interestingly, A/FortMonmouth/1/1947 antisera cross-reacted with A/USSR/90/1977 virus, thought to be a 1947 resurfaced virus. Importantly, our immunological data that didn't show cross-reactivity can be extrapolated to failure of past H1N1 influenza vaccines, ie. 1947, 1986 and 2009. Together, our results help to elucidate H1N1 immuno-genetic alterations that occurred in the past 100 years and immune responses caused by H1N1 evolution. This work will facilitate development of future influenza therapeutics and prophylactics such as influenza vaccines.</p>
</abstract>
</article-meta>
</front>
<body><p>The major challenge in regard to influenza surveillance and management is the propensity of the influenza virus to mutate, altering its immunogenic properties thereby allowing it to evade immune recognition and cause disease. Influenza A is classified according to the specific combination of its two surface molecules, hemagglutinin (HA) (H1 – H17) and neuraminidase (NA) (N1 – N9) isotypes<xref ref-type="bibr" rid="b1">1</xref>
<xref ref-type="bibr" rid="b2">2</xref>
<xref ref-type="bibr" rid="b3">3</xref>
and its diversity is attributed by two mechanisms: genetic mutation or by gene reassortment<xref ref-type="bibr" rid="b4">4</xref>
<xref ref-type="bibr" rid="b5">5</xref>
. Typically genetic mutation is responsible for seasonal influenza outbreaks and the emergence of influenza pandemics is a consequence of gene reassortment among different strains and subtypes<xref ref-type="bibr" rid="b4">4</xref>
<xref ref-type="bibr" rid="b5">5</xref>
<xref ref-type="bibr" rid="b6">6</xref>
. Since the extensively documented influenza pandemic in 1918–20, there have been a total of five influenza pandemics that have resulted in millions of deaths worldwide, where the fatality rate has reached more than 2.5% as in the case of 1918 pandemic<xref ref-type="bibr" rid="b5">5</xref>
<xref ref-type="bibr" rid="b7">7</xref>
. In 1957, H2N2 surfaced and replaced H1N1 in the human population until 1977 when H1N1 resurfaced, leading to co-circulation of the 2 influenza subtypes. Compared to H3N2<xref ref-type="bibr" rid="b8">8</xref>
, the H1N1 subtype is believed to have a lower rate of antigenic drift which is associated with a smaller amount of mutations leading to amino acid changes<xref ref-type="bibr" rid="b9">9</xref>
. Importantly the evolutionary behaviours of H1N1 and H3N2 are divergent leading to a dynamic and ever changing influenza climate in the human population where one virus subtype typically dominates over the other<xref ref-type="bibr" rid="b8">8</xref>
<xref ref-type="bibr" rid="b9">9</xref>
. Throughout the 100 year history of H1N1, the specific clinical parameters and immunogenic response to the genetic drift of H1N1 remains to be clarified.</p>
<p>Subsequent to the 1918 H1N1 pandemic were several H1N1 epidemics occurring from the 1920's to the late 1950's<xref ref-type="bibr" rid="b9">9</xref>
<xref ref-type="bibr" rid="b10">10</xref>
<xref ref-type="bibr" rid="b11">11</xref>
which was followed by a 20 year disappearance and a re-emergence in the 1970's<xref ref-type="bibr" rid="b12">12</xref>
. In 1947 a significant antigenic change transpired in the H1N1 virus creating strain distinct from previous 1943 viruses<xref ref-type="bibr" rid="b13">13</xref>
. The new H1N1 virus termed “A-Prime” was relatively mild although widespread (a pseudopandemic) and hypothesized to be a reassortant from two distinct H1N1 strains<xref ref-type="bibr" rid="b9">9</xref>
<xref ref-type="bibr" rid="b13">13</xref>
<xref ref-type="bibr" rid="b14">14</xref>
. An unusual H1N1 virus emerged in 1951 that was associated with severe disease: also thought to be a reassortant virus with genes from novel viruses and older H1N1 segments from the 1940's<xref ref-type="bibr" rid="b9">9</xref>
. Succeeding a 20 year H1N1 disappearance, two H1N1 epidemics of interest came about, including the 1977 children's pandemic and a swine flu epidemic in 1976 that was feared to have pandemic potential and led to a massive public vaccination strategy<xref ref-type="bibr" rid="b14">14</xref>
. The 1977 epidemic had limited infectivity to the immunologically naïve younger population (persons <25 years of age) which is thought to be due to the similar circulating H1N1 viruses of the 1950's<xref ref-type="bibr" rid="b14">14</xref>
.</p>
<p>In 2009 a substantial change in the H1N1 virus occurred, unlike previous modifications, which allowed the virus to spread rapidly throughout the globe and prompted the WHO to declare a pandemic on 11 June 2009 <xref ref-type="bibr" rid="b15">15</xref>
. Genomic analysis determined the virus was of swine origin and contained a triple reassortant of swine, human and avian influenza A genes<xref ref-type="bibr" rid="b16">16</xref>
. Unlike previous contemporary seasonal influenza outbreaks, the 2009 H1N1pdm had age-related disparities in the frequency and severity of infection where the older age groups were less susceptible to the disease<xref ref-type="bibr" rid="b17">17</xref>
<xref ref-type="bibr" rid="b18">18</xref>
. Furthermore, these differences in age-related severity are hypothesized to be due to previous exposure to older H1N1 viruses with similar antigenic epitopes<xref ref-type="bibr" rid="b17">17</xref>
<xref ref-type="bibr" rid="b18">18</xref>
.</p>
<p>After influenza exposure, the body generates antibodies against the specific influenza strain it has encountered. Anti-HA production is often associated with immunity to the same or homologous influenza strains and some antibodies have virus neutralizing ability blocking viral entry to the host cell<xref ref-type="bibr" rid="b1">1</xref>
<xref ref-type="bibr" rid="b19">19</xref>
. Importantly, previous exposure to influenza viruses influences how the body will respond to a subsequent influenza infection of the same or different genetic subtype<xref ref-type="bibr" rid="b20">20</xref>
. To date, little is known about the immune and clinical response to H1N1 influenza viruses of the past 100 years and how the H1N1 subtype genetic drift and shift affected immune cross-reactivity. Previously Nelson et al., conducted a large scale genetic analysis of 71 H1N1 sequences to determine the evolutionary history of this virus since 1918 <xref ref-type="bibr" rid="b9">9</xref>
. In our present study, we investigated the clinical characteristics and immune cross-reactivity of significant H1N1 influenza strains in the past 100 years in ferrets to determine the immunogenicity of important H1N1 viruses. We infected ferrets with historical H1N1 strains from 1943, 1947, 1977, 1986, 1999, and 2009 and monitored them for a 14-day time course to determine the clinical picture of each influenza strain infection and immune cross-reactivity. Our findings clarify the influenza clinical picture of historical H1N1 strains and the help to elucidate the antigenic alterations of H1N1 that occurred in the past 100 years. The work here will facilitate the understanding of the immune response toward H1N1 and with future work may aid the development of future influenza therapeutics and anti-viral treatments.</p>
<sec disp-level="1" sec-type="results"><title>Results</title>
<sec disp-level="2"><title>Ferrets Infected with historical H1N1 strains show mild clinical symptoms</title>
<p>The ferret, <italic>Mustela putorius furo</italic>
, is a superlative animal model for respiratory infections and the influenza ferret infectome has recently been published<xref ref-type="bibr" rid="b21">21</xref>
<xref ref-type="bibr" rid="b22">22</xref>
<xref ref-type="bibr" rid="b23">23</xref>
<xref ref-type="bibr" rid="b24">24</xref>
<xref ref-type="bibr" rid="b25">25</xref>
<xref ref-type="bibr" rid="b26">26</xref>
<xref ref-type="bibr" rid="b27">27</xref>
<xref ref-type="bibr" rid="b28">28</xref>
<xref ref-type="bibr" rid="b29">29</xref>
. Ferrets show respiratory illness similar to humans and clinical features of disease are easily observed where fevers can persist days following infection of viruses such as 2009 H1N1pdm influenza<xref ref-type="bibr" rid="b21">21</xref>
<xref ref-type="bibr" rid="b23">23</xref>
<xref ref-type="bibr" rid="b30">30</xref>
. As well as fever, nasal discharge and sneezing can also be observed in animals infected with influenza viruses<xref ref-type="bibr" rid="b21">21</xref>
. Although the genetic evolution of H1N1 viruses between 1918 and 2008 has been studied<xref ref-type="bibr" rid="b9">9</xref>
, the clinical features of these viruses have not been previously investigated and compared including the most recent 2009 H1N1 pandemic virus. Here we used ferrets to experimentally monitor and compare the clinical immune responses during infection with human historical H1N1 influenza strains.</p>
<p>We infected ferrets with six influenza A/H1N1 strains; A/AA/Marton/43 (Marton/43), A/FortMonmouth/1/1947 (FM/47), A/USSR/90/1977 (USSR/77), A/Taiwan/1/1986 (Taiwan/86), A/NewCaledonia/20/1999 (NCal/99), and A/NewYork/18/2009 (NY/09). These influenza A viruses were chosen due to their emergence and influence in H1N1 genetic history (<xref ref-type="fig" rid="f1">Fig. 1</xref>
, strains used in this study are marked with an asterisks) as covered in the introduction. Following infection, ferrets were monitored for body temperature, weight, inactivity level, sneezing and nasal discharge from each group were observed daily until Day 14 post-infection (pI). Infection by all strains produced an increase in temperature; the normal range for ferret temperature is indicated by the shaded area of each graph<xref ref-type="bibr" rid="b23">23</xref>
(<xref ref-type="supplementary-material" rid="s1">Supplementary Fig. S1a</xref>
). The pandemic H1N1 strain NY/09 induced the greatest fever on Day 2 to a temperature of 104% (of baseline). NCal/99 and Marton/43 infection also caused a high temperature of 103% from baseline, which peaked on Day 1 and Day 2 pI, respectively (<xref ref-type="table" rid="t1">Table 1</xref>
). USSR/77 and Taiwan/86 had moderate fevers and FM/47 had the smallest increase in temperature reaching only 101% above baseline (<xref ref-type="table" rid="t1">Table 1</xref>
).</p>
<p>Analysis of weight loss showed that animals infected with of all viruses except pandemic NY/09 were able to recover to original weight or greater following infection (<xref ref-type="supplementary-material" rid="s1">Supplementary Fig. S1b</xref>
and <xref ref-type="table" rid="t1">Table 1</xref>
). NY/09 infected ferrets had the most significant weight loss compared to normal weight fluctuations (shaded area)<xref ref-type="bibr" rid="b23">23</xref>
which peaked at 91% of baseline weight on Day 6 and Day 7. USSR/77 and NCal/99 reached less than 95% and 95% of baseline weight, respectively, on Day 2 pI (<xref ref-type="table" rid="t1">Table 1</xref>
). Infection with Taiwan/86 produced the smallest amount of weight loss and animals infected with FM/47 did not lose any weight at all (<xref ref-type="table" rid="t1">Table 1</xref>
).</p>
<p>Secondary clinical signs were also measured and analysed for all infections, including nasal discharge, sneezing, and inactivity level (<xref ref-type="supplementary-material" rid="s1">Supplementary Table S1</xref>
). USSR/77 infected ferrets had the highest amount of nasal discharge and NY/09 ferrets had the greatest amount of sneezing and lethargy. Taken together, analysis of the complete clinical signs for each H1N1 strain infection suggested a unique clinical picture for each strain: NY/09 infection had the most severe with significant increase in temperature and an unrecovered weight loss compared to mildest strain, FM/47, which did not produce any weight loss and only a slight increase in temperature.</p>
</sec>
<sec disp-level="2"><title>Analysis of HA immunogenicity in historical H1N1 strains</title>
<p>The HA protein, a homotrimeric protein that functions in viral entry into host cells<xref ref-type="bibr" rid="b31">31</xref>
, and antibodies reactive toward HA have been associated with host resistance and a decrease in disease severity<xref ref-type="bibr" rid="b32">32</xref>
<xref ref-type="bibr" rid="b33">33</xref>
<xref ref-type="bibr" rid="b34">34</xref>
. It has been shown that 60% of antibodies produced during an influenza infection are reactive toward the HA protein<xref ref-type="bibr" rid="b35">35</xref>
. After determining the clinical signatures of ferrets infected with historical and contemporary H1N1 viruses, we went on to analyze the aspects of H1N1 HA immunogenicity.</p>
<p>The Hemagglutination Inhibition (HI) assay, is a common assay used to determine the reactivity and/or amount of antibody to the HA protein produced during a viral infection and the cross-reactivity of antibodies raised toward these specific historically important H1N1 viruses has not been investigated. To determine the cross-reactivity produced by infection among the historical and contemporary influenza strains, we used the harvested antisera from each ferret strain infection and perform HI assays with our panel of H1N1 viruses; PR/34 (A/PuertoRico/8/1934), Marton/43, FM/47, USSR/77, Taiwan/86, NCal/99, NY/09 and three antisera raised toward viruses from previous studies SI/06 (A/SolomonIslands/3/2006), Bris/07 (A/Brisbane/59/2007), Cal/09 (A/California/07/2009) in the analysis<xref ref-type="bibr" rid="b23">23</xref>
(<xref ref-type="supplementary-material" rid="s1">Supplementary Table S2</xref>
).</p>
<p>Interestingly, ferret anti-sera toward the Marton/43 virus showed HI with its own virus and with the older PR/34 but not with its nearest chronological neighbour FM/47 (<xref ref-type="fig" rid="f2">Fig. 2a</xref>
). FM/47 and USSR/77 antisera recognized its respective virus and each other (<xref ref-type="fig" rid="f2">Fig. 2b and c</xref>
). Taiwan/86 and 2009 H1N1pdm (NY/09 or Cal/09) antisera both only reacted with their respective viruses (<xref ref-type="fig" rid="f2">Fig. 2d and h</xref>
). NCal/99 antisera only showed HI with its own NCal/99 virus (<xref ref-type="fig" rid="f2">Fig. 2e</xref>
). Unexpectedly, the SI/06 and Bris/07 antisera were able to inhibit the NCal/99 virus (<xref ref-type="fig" rid="f2">Fig. 2f and g</xref>
). Furthermore, SI/06 antisera also cross-reacted with the Bris/07 virus and the Bris/07 antisera recognized the SI/06 virus. Taken together, these results showed antigenic cross-reactivity to infection among historical and contemporary H1N1 influenza strains. This data suggested similarities of the host immune response between Marton/43 and PR/34, FM/47 and USSR/77, and NCal/99 with both SI/06 and Bris/07 but despairing responses in infection with Taiwan/86 and Cal/09.</p>
<p>We also analysed the HI ability of WHO control antisera against our H1N1 virus panel (<xref ref-type="supplementary-material" rid="s1">Supplementary Table S3</xref>
) and the WHO control viruses versus the H1N1 panel of antisera (<xref ref-type="supplementary-material" rid="s1">Supplementary Table S4</xref>
). Expectedly, NCal/99 and SI/06 both reacted with the WHO seasonal H1N1 antisera and NY/09 reacted with the 2009 H1N1pdm antisera. As well, HI was seen for only the WHO control seasonal H1N1 virus with NCal/99, SI/06, and Bris/07 antisera and the WHO control 2009 H1N1pdm with NY/09 (<xref ref-type="supplementary-material" rid="s1">Supplementary Table S4</xref>
). Importantly, no detection was observed for the Tawain/86 virus and earlier viruses with the WHO H1N1 seasonal control. Taken together, this work suggested that the WHO seasonal H1N1 antisera is only capable of detecting infection from recent seasonal H1N1 strains.</p>
<p>We investigated the phylogenetic relationship and sequence homology of the HA gene among the H1N1 viruses used in this study and included other strains implicated in important historical H1N1 outbreaks. The temporal structure of phylogenetic tree was comprised of 3 groups separated by long braches (<xref ref-type="fig" rid="f3">Fig. 3a</xref>
). The 1918 pandemic strains and 2009 pandemic isolates each formed their own distinct cluster. The middle cluster contained 10 epidemic isolates. Within this cluster, FM/47 was closer to USSR/77 than Marton/43 which was more similar to PR/34. The 3 latest strains of seasonal H1N1, NCal/99, SI/06 and Bris/07, were positioned as a clade which was separated from the early stains by a long branch and clustal alignment of these three viruses (<xref ref-type="supplementary-material" rid="s1">Supplementary Fig. S2</xref>
) showed several amino acid changes from NCal/99 and conserved between SI/06 and Bris/07: A3V, T99K, Y111H, K157E, V182A, R224K, W268R, T283N, and N489D. We calculated the protein homology by using the most variable region of the HA gene (HA135-295) which covers most of the viral surface and sequence change in this area has a strong impact in immunogenicity<xref ref-type="bibr" rid="b36">36</xref>
. We found that 94% and higher homology scores led to HI cross-reactivity in all the cases. On the other hand, cross-reactivity with lower homologies of 91-93% may or may not take place (<xref ref-type="fig" rid="f3">Fig. 3b</xref>
). Taken together, our results suggested an important relationship and cross-reactivity between FM/47 and USSR/77 as well as the NCal/99, SI/06 and Bris/07 group that can be related to the genetic HA sequence. Further analysis of other influenza genes may also be important to the understanding of H1N1 evolution.</p>
</sec>
</sec>
<sec disp-level="1" sec-type="discussion"><title>Discussion</title>
<p>The H1N1 influenza subtype is a significant viral agent affecting public health that has been responsible for 3 pandemics and several influenza epidemics globally. Here we investigated the clinical response and subsequent immunogenicity following infection with historically and contemporarily relevant H1N1 strains in ferrets. Importantly, we showed that infection with each strain produced a unique clinical signature which may be indicative of disease that affected humans. We also found significant cross-reactivity between viruses with similar HA aa sequences which can be extrapolated to protection or no protection following a subsequent infection with another H1N1 strain. These results are the first to compare the clinical signs and the antigenic relatedness of systematic infection of this panel of evolutionary important H1N1 viruses in a single study. These results add to the understanding of how the immune system responds to an evolving virus.</p>
<p>In the current study we analyzed the clinical parameters of evolutionary H1N1 strain infection in ferrets which has not been previously compared experimentally. Our results of the evolutionary H1N1 strains showed that infection with the FM/47 resulted in the mildest clinical disease. Interestingly, historical accounts of the 1947 H1N1 outbreak have indicated the virus to cause mild clinical symptoms and have a low death rate<xref ref-type="bibr" rid="b14">14</xref>
. These records support our findings, where animals infected with FM/47 had the lowest percent nasal discharge, mildest fever and was the only virus infection which did not lead to weight loss. Furthermore, USSR/77 infection produced a moderate disease comparable to the reports of a mild clinical disease<xref ref-type="bibr" rid="b37">37</xref>
. Our analysis of the clinical course of Taiwan/86 infection in ferrets showed a moderate disease consisting of a mild biphasic temperature increase and minimal weight loss. These observations were in agreement with clinical disease reported during the 1986 naval base outbreak of influenza which there was no deaths but patients described fever, non-productive cough, sore throat and myalgia<xref ref-type="bibr" rid="b38">38</xref>
. Furthermore, in accordance with our NY/09 data which had the most significant temperature fluctuations and weight loss, analysis by Shrestha and colleagues demonstrated that H1N1pdm was more severe than the previous circulating seasonal influenza viruses<xref ref-type="bibr" rid="b39">39</xref>
.</p>
<p>The influenza virus was first identified in 1932 and since then the epidemiology and phylogentic analysis of subsequent influenza epidemics and pandemics have been extensively investigated<xref ref-type="bibr" rid="b9">9</xref>
<xref ref-type="bibr" rid="b14">14</xref>
<xref ref-type="bibr" rid="b40">40</xref>
. Importantly, our results build on the previous investigations as we report the immunogenic evolution of the HA protein of significant pandemic and epidemic strains. The epidemic isolates examined by our phylogenetic analysis showed the 1918 and H1N1pdm 2009 strains to comprise each their own cluster and the seasonal strains ranging from 1934 to 2007 to cluster together. As expected by chronological analysis, our results showed Marton/43 to cross-react with its predecessor PR/34 which was in agreement with the phylogenetic analysis that placed the HA of Marton/43 close to PR/34 in the tree.</p>
<p>Extensive phylogenetic analysis preformed by Nelson MI and colleagues suggested the 1947 strain to be a reassortant from two previous H1N1 viruses combining the PB1, NA and M segements from a 1943 virus with the PB2, PA, HA, NP and NS segments from an unknown H1N1 virus<xref ref-type="bibr" rid="b9">9</xref>
. Furthermore, they showed that the HA1 region of the 1947 HA was significantly different from the HA of the earlier 1940's strains<xref ref-type="bibr" rid="b9">9</xref>
. In accordance with this analysis, our results showed that the FM/47 antisera did not inhibit hemagglutination with the earlier PR/34 and Marton/43 viruses and the Marton/43 antisera did not cross-react with the FM/47 virus. The inability for immunity induced by Marton/43 virus infection to target the FM/47 virus compliments the influenza vaccine performance in the human population of the 1940's as well as previously published studies<xref ref-type="bibr" rid="b41">41</xref>
. Specifically, a related 1943 H1N1 virus strain (A/weiss/43), as well as A/PR/8/34 and B/Lee/40 were used in the influenza vaccine preparation which was completely ineffective during the '47 influenza outbreak<xref ref-type="bibr" rid="b14">14</xref>
<xref ref-type="bibr" rid="b41">41</xref>
. Although FM/47 antisera did not recognize the earlier H1N1 strains, it did cross-react with the HA molecule of the USSR/77 virus as did the USSR/77 antisera with the FM/47 virus. In support of these findings, the 1977 epidemic was thought to be the resurfacing of the FM/47 strain<xref ref-type="bibr" rid="b9">9</xref>
. The USSR/77 outbreak was known as ‘The Children's Pandemic' since only persons younger than 26 years old were affected<xref ref-type="bibr" rid="b14">14</xref>
. During this time, older individuals were considered primed for the 1977 outbreak strain by previous infections from the 40's and 50's<xref ref-type="bibr" rid="b37">37</xref>
which is supported by our immunological evidence. Together, our results, the phylogenetic analysis and the epidemiological records suggest the triggering of a unique immune response following infection with Marton/43 and FM/47 and a similar response from infection with the related strains FM/47 and USSR/77.</p>
<p>In the fall of 1986 a significant outbreak of influenza occurred on a US Naval Base which was found to be caused by strains that had been circulating in Asia since the spring of that year<xref ref-type="bibr" rid="b38">38</xref>
<xref ref-type="bibr" rid="b42">42</xref>
<xref ref-type="bibr" rid="b43">43</xref>
<xref ref-type="bibr" rid="b44">44</xref>
. Taiwan/86 was isolated from this outbreak and genomic analysis of its HA have suggested that the Taiwan/86 virus had evolved from viruses circulating in the early 1980‘s in Hong Kong<xref ref-type="bibr" rid="b45">45</xref>
. Furthermore, it has also been suggested that this virus was the product of a reassortment event that had occurred between two H1N1 viruses<xref ref-type="bibr" rid="b9">9</xref>
. Our results showed that the Taiwan/86 strain shared lower homology to 99, 06 and 07 viruses seen on our phylogenetic tree. The immunogenic findings showed antisera produced from ferret infection with Taiwan/86 was not able to inhibit hemagglutination with the other viruses on our virus panel, which compliments the literature describing the 1986 strain. The influenza vaccine in 1986 included the A/Chile/1/83 influenza strain<xref ref-type="bibr" rid="b38">38</xref>
. Interestingly, during the 1986 US Naval Base outbreak, the soldiers who were vaccinated were poorly protected from infection with Taiwan/1986<xref ref-type="bibr" rid="b38">38</xref>
. Furthermore, it was also shown that antibodies produced by vaccination with the A/Chile/1/83 vaccine preparation were not able to provide hemagglutination inhibition toward the newly arisen Taiwan/86 and Taiwan/86-like viruses<xref ref-type="bibr" rid="b44">44</xref>
. From this evidence, it was then recommended that the Taiwan/86 strain be included in the subsequent influenza monovalent vaccine preparation<xref ref-type="bibr" rid="b42">42</xref>
<xref ref-type="bibr" rid="b44">44</xref>
. Our findings together with the previous reports on the Taiwan/86 outbreak suggest that the 1986 viruses were an antigenically unique group of strains that induced a specific immune response important when considering the evolution of H1N1 immunity.</p>
<p>It can be argued that the H1N1 virus underwent minor genetic drift in the 10 year span from 1999 to 2009 which can be evidenced by the consistent inclusion of the NCal/99 in the influenza vaccine preparation<xref ref-type="bibr" rid="b9">9</xref>
<xref ref-type="bibr" rid="b46">46</xref>
. Our genetic analysis showed the three contemporary H1N1 seasonal viruses, NCal/99, Bris/07 and SI/06, to be proximal to each other on the phylogenetic tree with a long separation from the previous Taiwan/86 virus and in a distinct cluster from the 2009 H1N1 pandemic viruses. Moreover, Bris/07 and SI/06 were closer to each other than they were to NCal/99. Interestingly, the antisera generated by infection with NCal/99 did not cross-react with the other two contemporary seasonal H1N1 viruses although the SI/06 and Bris/07 antisera recognized the NCal/09 virus. These results suggested there to be an amino acid change in Bris/07 and SI/06 from NCal/99 that may have resulted in a new antigenic site that was not originally present in NCal/99 strain. To investigate this contention we generated a clustal alignment of these viruses which showed numerous amino acid changes between Bris/07 and SI/06 sequences with NCal/99. These results may indicate the gradual yet still present drift of the H1N1 virus in this time period. As well, the immunogenic evolution seen in our analysis may question the consistent usage of the NCal/99 virus in influenza vaccine preparations from 2000–2001 to 2006–2007 <xref ref-type="bibr" rid="b9">9</xref>
<xref ref-type="bibr" rid="b47">47</xref>
.</p>
<p>The most significant emergent in H1N1 history since 1918 ensued in late spring 2009 and was declared a pandemic shortly after<xref ref-type="bibr" rid="b15">15</xref>
. The HA from newly emerged H1N1 virus was identified to be similar to the HA of viruses isolated from North American swine which had recent and historical precedence<xref ref-type="bibr" rid="b48">48</xref>
. This virus was designated 2009 H1N1 pandemic (H1N1pdm) and was shown to be a triple reassortant virus containing genes from swine, human and avian influenza A viruses<xref ref-type="bibr" rid="b16">16</xref>
. In our phylogenetic analysis it was clearly evident that the triple reassortant viruses clustered far from the previously circulating seasonal H1N1 viruses in agreement with similar alignments. Furthermore, HI assays performed using ferret antisera produced raised against the NY/09 H1N1pdm antisera was not able to recognize the HA of any other viruses. These results are supported by previous published findings that determined the cross-protection initiated following infection with H1N1pdm which was preceded by infection with contemporary seasonal H1N1 did not occur through an HA targeted antibody response<xref ref-type="bibr" rid="b20">20</xref>
. Interestingly, although an H1N1 component had been included in the seasonal influenza vaccine preparations since 1977 <xref ref-type="bibr" rid="b49">49</xref>
, antigen directed pre-existing immunity to 2009 H1N1pdm was only detected in the elderly suggesting the majority of the current human population was naïve to the this novel virus<xref ref-type="bibr" rid="b50">50</xref>
<xref ref-type="bibr" rid="b51">51</xref>
. Cross-reactive antibodies found in the elderly population suggested that protective immunity was induced from exposure to an older H1N1 virus with antigenic similarities to 2009 H1N1pdm<xref ref-type="bibr" rid="b25">25</xref>
<xref ref-type="bibr" rid="b50">50</xref>
<xref ref-type="bibr" rid="b51">51</xref>
<xref ref-type="bibr" rid="b52">52</xref>
. Our study directly tested the ability of infection with older H1N1 strains from the years 1943 to 1947 to bind the HA molecule of the 2009 H1N1pdm virus. Against current hypotheses, we found that the immune production of antisera from infection with viruses originating from the 1940's were not able to recognize the HA of the novel pandemic viruses. Likewise, the H1N1pdm antisera did not detect the panel of viruses ranging from 1934 to 2007. Recently, the effect of priming ferrets with historical H1N1 viruses on the immune response of secondary infection the H1N1pdm was described<xref ref-type="bibr" rid="b53">53</xref>
<xref ref-type="bibr" rid="b54">54</xref>
. These studies addressed distinct immunological questions as our study utilizing a different set of H1N1 viruses. These priming studies complimented our study as the historical H1N1 strains used were not the same as ours. The purpose of the previous studies was to determine protection from priming infection/infections whereas we queried immune detection, cross-reactivity and clinical analysis. Importantly, a significant issue that remains is the affect of age on the outcome of infection/sequential infection with the historical and contemporary viruses. Historical accounts mention clinical pathology among age groups but do not have a comprehensive analysis of the comparative severity<xref ref-type="bibr" rid="b14">14</xref>
<xref ref-type="bibr" rid="b38">38</xref>
<xref ref-type="bibr" rid="b49">49</xref>
<xref ref-type="bibr" rid="b55">55</xref>
. As well, it is not know how the aging immune system responds to the evolving influenza virus. Although a protective response was seen in priming studies in adult animals, it is not know if protection of the same magnitude would remain during age related immunosenescence or if the clinical response in the aged would be similar as we have shown in this study.</p>
<p>Influenza A H1N1 and Influenza A H3N2 have varying patterns of antigenic and genetic evolution where specifically H1N1 has a lower rate of acquired mutations<xref ref-type="bibr" rid="b8">8</xref>
<xref ref-type="bibr" rid="b9">9</xref>
. These evolutionary behaviours are divergent leading to a dynamic and ever changing influenza climate in the human population where one Influenza A subtype typically dominates over the other. Importantly, understanding the interplay between the H1N1 and H3N2 infection evolution remains a significant hurdle in influenza reasearch<xref ref-type="bibr" rid="b8">8</xref>
<xref ref-type="bibr" rid="b9">9</xref>
. Nelson and colleagues investigated the genetic evolution of the H1N1 virus by analyzing the evolution of the whole virus as well as the individual viral segments from strains since 1918 <xref ref-type="bibr" rid="b9">9</xref>
. In this study the authors were able to identify instances where divergent clades co-circulated as well as events of intra-H1N1 subtype reassortment<xref ref-type="bibr" rid="b9">9</xref>
. Previously, Smith and colleagues compared the antigenic and genetic evolution of the H3N2 virus from strains originating in 1968 to 2003 and found that antigenic and genetic evolution showed differing patterns<xref ref-type="bibr" rid="b8">8</xref>
. Antigenic evolution was punctuated where the strains formed clusters and genetic change was more even and gradual as time increased<xref ref-type="bibr" rid="b8">8</xref>
. Here we sought to elucidate the antigenic evolution of the H1N1 virus. As with the H3N2 virus<xref ref-type="bibr" rid="b8">8</xref>
, we found the antigenic change did not vary evenly by year but instead corresponded to genetic changes in the HA molecule. These studies are significant for elucidating the intricacies of influenza evolution as the continuous change of the influenza virus is the greatest challenge to the management of disease and containment of further outbreaks. A better understanding of the evolution of the influenza virus and the interplay between the H3N2 and H1N1 strains will improve the design of prophylactics such as by guiding vaccine strain selection for yearly trivalent influenza vaccine or may even give insight to the development of a universal influenza vaccine. More work is needed to understand the true nature of influenza virus dynamics and evolution.</p>
<p>Animal models remain the most appropriate mode for the methodical scientific investigation of human influenza virus pathogenesis and the testing of influenza prophylactics and therapeutics. Currently, the ferret is thought to be the most suitable animal model for respiratory influenza virus infection<xref ref-type="bibr" rid="b56">56</xref>
since ferrets are physiologically susceptible to wild type influenza viruses due to a similar respiratory tract and are able to transmit the virus once infected. As mentioned previously, ferrets display similar clinical disease as humans following influenza infection which include fever, weight loss, and sneezing and these positive features have been well discussed previously<xref ref-type="bibr" rid="b21">21</xref>
<xref ref-type="bibr" rid="b24">24</xref>
<xref ref-type="bibr" rid="b26">26</xref>
<xref ref-type="bibr" rid="b30">30</xref>
<xref ref-type="bibr" rid="b56">56</xref>
. As well, the ferret has been shown to have similar features as human in regard to IFN pathway function and is potential model for the study of human IFN-gamma signalling<xref ref-type="bibr" rid="b24">24</xref>
<xref ref-type="bibr" rid="b57">57</xref>
. Although the ferret is an appropriate model, it is imperative to be mindful of the disparities between animal models and the nature human infection to have an accurate assessment of research findings especially from ferret-influenza studies. During experimental influenza infections in animal models, a specific and known amount of virus is administered to the animal in a controlled manor, usually by intranasal inoculation. Modeling the infectious behaviour of a virus is more predictable when the infection route and dose are controlled. This is in contrast to natural infection where humans are infected with an unknown amount of virus in an unknown route, which must be considered when extrapolating results from animal model studies. Most significantly, ferrets as well as other animal models used in influenza studies are typically ‘Specific Pathogen Free' (SPF). In this case, the ferrets are determined to be influenza free prior to study initiation. Unlike humans who have been previously exposed to various subtypes of influenza viruses, ferrets used in influenza studies are completely naïve to the virus. The nuances of the immune response subsequent to multiple influenza infections, such as the phenomenon of original antigenic sin<xref ref-type="bibr" rid="b58">58</xref>
, has only started to be elucidated in the ferret model<xref ref-type="bibr" rid="b53">53</xref>
and much work is still required to have a full understanding of the effect of sequential influenza infection on the specific immune response mounted. Furthermore, since the influenza virus is subject to both genetic shift and genetic drift<xref ref-type="bibr" rid="b35">35</xref>
, the clinical manifestations of sequential virus infections by a virus that undergone multiple genetic drifts would differ from a response of a virus that had undergone a significant genetic shift as that of the H1N1 2009 pandemic variant.</p>
<p>Influenza virus infection has been thought to plague the human population for hundreds of years, where symptoms of influenza can be traced back in the writings of the early Greek cultures to 412 BC<xref ref-type="bibr" rid="b40">40</xref>
. As many questions still exist in relation to evolution and emergence of influenza strains, we analyzed the immunological evolution of past and contemporary influenza viruses. Our results shed light on the cross-protective immune response toward the HA molecule and suggest that unique immunity is induced dependent on the HA sequence. Further work is needed to determine the evolutionary placement of the 1918 and 1934 virus immunogenicity, as well as the placement of newly emerging influenza strains. Our results describing the antigenic evolution of the H1N1 influenza subtype together with previous work will add to the understanding of the transcendence of influenza viruses and have implications on the design of future influenza vaccines.</p>
</sec>
<sec disp-level="1" sec-type="methods"><title>Methods</title>
<sec disp-level="2"><title>Ethics statement</title>
<p>All animal work was conducted in strict accordance with the Canadian Council of Animal Care (CCAC) guidelines. The University Health Network (UHN) has certification with the Animals for Research Act (Permit Number: #0045 and #0085 of the Ontario Ministry of Agriculture, Food and Rural Affairs) and follows NIH guidelines (OLAW #A5408-01). The animal use protocol was approved by the Animal Care Committee (ACC) of the UHN. Infections and subsequent sample collection were performed under 5% isofluorane anesthesia in an effort to minimize suffering.</p>
</sec>
<sec disp-level="2"><title>Viruses</title>
<p>All viruses, A/PuertoRico/8/1934 (PR/34), A/AA/Marton/43 (Marton/43), A/FortMonmouth/1/1947 (FM/47), A/USSR/90/1977 (USSR/77), A/Taiwan/1/1986 (Taiwan/86), A/NewCaledonia/20/1999 (NCal/99), and A/NewYork/18/2009 (NY/09), A/SolomonIslands/3/2006 (SI/06), A/Brisbane/59/2007 (Bris/07), A/California/07/2009 (Cal/09) are provided by Center for Disease Control and Prevention ((CDC), Atlanta, GA, USA) or American Type Culture Collection ((ATCC), Manassas, VA, USA). All virus work was performed in BSL-2 facility.</p>
</sec>
<sec disp-level="2"><title>Infection and ferret monitoring</title>
<p>Maintenance and monitoring of infected ferrets has been previously described<xref ref-type="bibr" rid="b23">23</xref>
. Briefly, male ferrets 4–6 months old were bred in an on-site SPF ferret colony (University Health Network, Toronto, ON, Canada). Prior to infection, all ferrets were screened for influenza and shown to be seronegative by HI assay against circulating influenza A and B strains (2010-2011 WHO Influenza Reagent Kit for Identification of Influenza Isolates (WHO collaborating center for surveillance, epidemiology and control for influenza infection division)). The kits contain the circulating influenza strains for the particular year. Prior to infection, ferrets were randomly selected and pair-housed in cages contained in bioclean portable laminar-flow clean-room enclosures (Lab Products, Seaford, DE) in the BSL-2 animal holding area. Baseline body temperature and weight were measured on Day 0 for each animal. Temperatures were measured by using a subcutaneous implantable temperature transponder (BioMedic Data Systems, Inc., Seaford, DE). Upon infection, ferrets were anesthetized and infected 1mL of virus preparation for each ferret (0.5mL in each nostril). Ferrets were infected with Marton/43 (N = 12), FM/47 (N = 10), USSR/77 (N = 12), Taiwan/86 (N = 10), NCal/99 (N = 14), and NY/09 (N = 12). All viruses were used at 10<sup>5</sup>
EID<sub>50</sub>
except for FM/47 which was infected at 10<sup>6</sup>
EID<sub>50</sub>
since it was reported to be a milder virus<xref ref-type="bibr" rid="b14">14</xref>
. Clinical signs (body temperature, body weight, level of activity, nasal discharge, and sneezing) were observed daily for 14 days pI. We examined animals at the same time each day for consistency. Nasal discharge includes crusty nose, mucous, and transparent exudates/fluids. The scores were calculated from the total animals displaying any nasal discharge symptom over the total number of animals. The sneezing scores were calculated from the total animals found sneezing over the total number of animals. Scores were calculated daily for 14 days and only the peak values for each infection are summarized. The inactivity scoring system is based on the reference Reuman <italic>et al</italic>
., 1989 <xref ref-type="bibr" rid="b59">59</xref>
to assess the inactivity level: 0, alert and playful; 0.5, alert but playful only when stimulated; 1, alert but not playful when stimulated; 2, neither alert nor playful when stimulated. A relative inactivity index was calculated as follows: Σ<sub>(day 1 to day 14)</sub>
[score+1]<italic><sub>n</sub>
</italic>
/Σ<sub>(day 1 to day 14)</sub>
<italic>n</italic>
, where <italic>n</italic>
equals the total number of observations. A value of 1 was added to each observation unit score so that a score of 0 could be divided by a denominator, resulting in an index value of 1.0 as the minimum value.</p>
</sec>
<sec disp-level="2"><title>Determination of influenza specific antibody responses</title>
<p>Influenza specific antibody responses from the uninfected or infected ferrets were measured by HI as previously described<xref ref-type="bibr" rid="b23">23</xref>
. Briefly, receptor destroying enzyme ([RDE], Accurate Chemical & Scientific Corp., Westbury, NY, USA) treated ferret anti-sera was serially diluted and HI titers were determined by the highest dilution that completely inhibited influenza hemagglutination (4HAU) of turkey erythrocytes.</p>
</sec>
<sec disp-level="2"><title>Comparative analysis of hemagglutinin sequences</title>
<p>Phylogenetic analysis of influenza hemagglutinin DNA sequences were conducted in MEGA5<xref ref-type="bibr" rid="b60">60</xref>
using the Maximum Likelihood method based on the Tamura-Nei model<xref ref-type="bibr" rid="b61">61</xref>
, 500 bootstrap repetitions were performed. To analyze the protein similarity of influenza hemagglutinin from different H1N1 strains, the aminoacid sequences from the protein region HA135-295 were aligned using ClustalW2<xref ref-type="bibr" rid="b62">62</xref>
. This region of the HA protein is part of the hemagglutinin receptor binding domain (HA-RBD), which is located in the external surface of the virus and it concentrates most of the antigenic potential of the HA protein<xref ref-type="bibr" rid="b36">36</xref>
. Amino Acid HA GenBank accession numbers for Clustal alignment (<xref ref-type="supplementary-material" rid="s1">Supplementary Fig. S2</xref>
): A/NewCaledonia/20/1999(H1N1) (AAP34324.1); A/SolomonIslands/3/2006(H1N1) (ABU99109.1); A/Brisbane/59/2007(H1N1) (ADE28750.1). Amino Acid HA GenBank accession numbers for homology table (<xref ref-type="fig" rid="f3">Fig. 3b</xref>
): A/BrevigMission/1/1918 (AAD17218); A/PuertoRico/8/1934 (CAA24272); A/AA/Marton/1943-(ABO38054); A/FortMonmouth/1/1947 (ABD77807); A/USSR/90/1977 (ABD95350); A/Taiwan/1/1986 (ABF21274); A/NewCaledonia/20/1999 (ABF21272); A/SolomonIslands/3/2006 (ABU99109); A/Brisbane/59/2007 (ACA28844); California/07/2009 (ACP41953); A/NewYork/18/2009 (ACR67196). GenBank accession numbers for the phylogenetic analysis of HA DNA sequence (<xref ref-type="fig" rid="f3">Fig. 3a</xref>
): A/PR/8/1934 (V01088); A/BrevigMission/1/1918 (AF116575); A/South Carolina/1/1918 (AF117241); A/AA/Marton/1943 (CY02028); A/FortMonmouth/1/1947 (CY009612); A/USSR/90/1977 (CY010372); A/Taiwan/01/1986 (DQ508873); A/NewCaledonia/20/1999 (DQ508857); A/SolomonIslands/3/2006 (EU124177); A/Brisbane/59/2007 (CY030230); A/California/07/2009 (FJ966974); A/NewYork/18/2009 (GQ232064).</p>
</sec>
</sec>
<sec disp-level="1"><title>Author Contributions</title>
<p>S.S.H.H. and Z.L. conducted the majority of the experimental and technical work and assisted with figure preparation. D.B. ran and supervised all ferret maintenance and experiments. A.J.L. performed the comparative analysis of hemagglutinin sequences. S.G.P. provided technical assistance with animal studies. B.R., S.R. and Y.G. assisted with data analysis, data interpretation and manuscript preparation. D.J.K. and A.A.K. designed the experiments and supervised the project. A.A.K. analyzed the data and wrote the paper.</p>
</sec>
<sec sec-type="supplementary-material" id="s1"><title>Supplementary Material</title>
<supplementary-material id="d33e22" content-type="local-data"><caption><title>Supplementary Information</title>
<p>Supplemental Material</p>
</caption>
<media xlink:href="srep01698-s1.pdf" mimetype="application" mime-subtype="pdf"></media>
</supplementary-material>
</sec>
</body>
<back><ack><p>All influenza strains, A/PuertoRico/8/1934, A/AA/Marton/43, A/FortMonmouth/1/1947, A/USSR/90/1977, A/Taiwan/1/1986, A/NewCaledonia/20/1999, A/SolomonIslands/3/2006, A/Brisbane/59/2007 and A/NewYork/18/2009 were obtained through the Influenza Reagent Resource, Influenza Division, WHO Collaborating Center for Surveillance, Epidemiology and Control of Influenza, Centers for Disease Control and Prevention, Atlanta, GA, USA. We thank the Li Ka-Shing Foundation of Canada, Immune Diagnostics & Research, and Shantou University Medical College for the support of conducting this study. A/Mexico/4108/2009 virus was obtained through the Influenza Reagent Resource, Influenza Division, WHO Collaborating Center for Surveillance, Epidemiology and Control of Influenza, Centers for Disease Control and Prevention, Atlanta, GA, USA.</p>
</ack>
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<floats-group><fig id="f1"><label>Figure 1</label>
<caption><title>History of H1N1 influenza epidemics and pandemics.</title>
</caption>
<graphic xlink:href="srep01698-f1"></graphic>
</fig>
<fig id="f2"><label>Figure 2</label>
<caption><title>Hemagglutination Inhibition (HI) analysis of H1N1 strain antisera shows cross-reactivity toward related strains.</title>
<p>Ferrets were infected with various H1N1 influenza strains Marton/43, FM/47, USSR/77, Taiwan/86, NCal/99, SI/06, Bris/07 and NY/09 and antisera was taken at 15 days pI. The antisera were used to measure HA specific antibody induction using hemagglutination inhibition assay against an H1N1 virus panel: PR/34, Marton/43, FM/47, USSR/77, Taiwan/86, NCal/99, SI/06, Bris/07 and NY/09 or Cal/09.</p>
</caption>
<graphic xlink:href="srep01698-f2"></graphic>
</fig>
<fig id="f3"><label>Figure 3</label>
<caption><title>Phylogenetic relationship and homology of the influenza A H1N1 HA gene.</title>
<p>Phylogenetic relationship and homology among the hemagglutinin protein from different influenza strains are depicted. Evolutionary relationships among historical influenza H1N1 strains were conducted in MEGA5 using the Maximum Likelihood method and 500 bootstrap replications (a). Antibody cross-reactivity (determined by HI) among influenza strains is indicated by using the same colors. The numerical values displayed next to the branches indicate the percentage of bootstrap replicates in which the associated sequences clustered together. Hemagglutinin protein sequence homology among several influenza strains (b). Influenza strains were grouped according to the HI cross-reactivity observed in the serum from previously-infected ferrets (groups A through F). Alignments of protein sequences were performed using the highly variable HA135-295 region, which belongs to the HA-RBD area.</p>
</caption>
<graphic xlink:href="srep01698-f3"></graphic>
</fig>
<table-wrap position="float" id="t1"><label>Table 1</label>
<caption><title>Temperature and Weight Summary of H1N1 virus infected ferrets. Clinical signs of infected ferrets were measured daily over 14 days. Temperature and weight were recorded daily until end day and are expressed as percentage relative to the pre-infection level at Day 0</title>
</caption>
<table frame="hsides" rules="groups" border="1"><colgroup><col align="left"></col>
<col align="center"></col>
<col align="center"></col>
<col align="center"></col>
<col align="center"></col>
<col align="center"></col>
<col align="center"></col>
</colgroup>
<thead valign="bottom"><tr><th align="left" valign="top" charoff="50"> </th>
<th align="center" valign="top" charoff="50">Marton/43</th>
<th align="center" valign="top" charoff="50">FM/47</th>
<th align="center" valign="top" charoff="50">USSR/77</th>
<th align="center" valign="top" charoff="50">Taiwan/86</th>
<th align="center" valign="top" charoff="50">NCal/99</th>
<th align="center" valign="top" charoff="50">NY/09</th>
</tr>
</thead>
<tbody valign="top"><tr><td align="justify" valign="top" charoff="50"><bold>Temperature</bold>
</td>
<td align="left" valign="top" charoff="50"> </td>
<td align="left" valign="top" charoff="50"> </td>
<td align="left" valign="top" charoff="50"> </td>
<td align="left" valign="top" charoff="50"> </td>
<td align="left" valign="top" charoff="50"> </td>
<td align="left" valign="top" charoff="50"> </td>
</tr>
<tr><td align="justify" valign="top" charoff="50">Peak Temp</td>
<td align="justify" valign="top" charoff="50">103%</td>
<td align="justify" valign="top" charoff="50">101.4%</td>
<td align="justify" valign="top" charoff="50">102%</td>
<td align="justify" valign="top" charoff="50">101.7%</td>
<td align="justify" valign="top" charoff="50">103.1%</td>
<td align="justify" valign="top" charoff="50">104%</td>
</tr>
<tr><td align="justify" valign="top" charoff="50">Day – Peak Temp</td>
<td align="justify" valign="top" charoff="50">Day 2</td>
<td align="justify" valign="top" charoff="50">Day 1</td>
<td align="justify" valign="top" charoff="50">Day 2</td>
<td align="justify" valign="top" charoff="50">Day 2</td>
<td align="justify" valign="top" charoff="50">Day 1</td>
<td align="justify" valign="top" charoff="50">Day 2</td>
</tr>
<tr><td align="justify" valign="top" charoff="50">Hypothermic Phase (y/n)</td>
<td align="justify" valign="top" charoff="50">No</td>
<td align="justify" valign="top" charoff="50">Below 100% but in normal range</td>
<td align="justify" valign="top" charoff="50">Below 100% but in normal range</td>
<td align="justify" valign="top" charoff="50">Slight Dip on Day 3</td>
<td align="justify" valign="top" charoff="50">Slight Dip on Day 12</td>
<td align="justify" valign="top" charoff="50">Yes</td>
</tr>
<tr><td align="justify" valign="top" charoff="50">Return to Baseline (y/n)</td>
<td align="justify" valign="top" charoff="50">No</td>
<td align="justify" valign="top" charoff="50">No</td>
<td align="justify" valign="top" charoff="50">Yes</td>
<td align="justify" valign="top" charoff="50">Yes</td>
<td align="justify" valign="top" charoff="50">No</td>
<td align="justify" valign="top" charoff="50">No</td>
</tr>
<tr><td align="justify" valign="top" charoff="50">Day 14 Temperature</td>
<td align="justify" valign="top" charoff="50">101.3%</td>
<td align="justify" valign="top" charoff="50">99%</td>
<td align="justify" valign="top" charoff="50">100%</td>
<td align="justify" valign="top" charoff="50">100.5%</td>
<td align="justify" valign="top" charoff="50">101%</td>
<td align="justify" valign="top" charoff="50">98%</td>
</tr>
<tr><td align="justify" valign="top" charoff="50"><bold>Weight</bold>
</td>
<td align="left" valign="top" charoff="50"> </td>
<td align="left" valign="top" charoff="50"> </td>
<td align="left" valign="top" charoff="50"> </td>
<td align="left" valign="top" charoff="50"> </td>
<td align="left" valign="top" charoff="50"> </td>
<td align="left" valign="top" charoff="50"> </td>
</tr>
<tr><td align="justify" valign="top" charoff="50">Lowest Weight</td>
<td align="justify" valign="top" charoff="50">98%</td>
<td align="justify" valign="top" charoff="50">No weight loss</td>
<td align="justify" valign="top" charoff="50">92%</td>
<td align="justify" valign="top" charoff="50">98%</td>
<td align="justify" valign="top" charoff="50">95%</td>
<td align="justify" valign="top" charoff="50">91%</td>
</tr>
<tr><td align="justify" valign="top" charoff="50">Day – Lowest Weights</td>
<td align="justify" valign="top" charoff="50">Day 2</td>
<td align="justify" valign="top" charoff="50">—</td>
<td align="justify" valign="top" charoff="50">Day 2</td>
<td align="justify" valign="top" charoff="50">Day 2</td>
<td align="justify" valign="top" charoff="50">Day 2</td>
<td align="justify" valign="top" charoff="50">Day 6 and Day 7</td>
</tr>
<tr><td align="justify" valign="top" charoff="50">Return to Baseline (y/n)</td>
<td align="justify" valign="top" charoff="50">Yes</td>
<td align="justify" valign="top" charoff="50">—</td>
<td align="justify" valign="top" charoff="50">Yes</td>
<td align="justify" valign="top" charoff="50">Yes</td>
<td align="justify" valign="top" charoff="50">Yes</td>
<td align="justify" valign="top" charoff="50">No</td>
</tr>
<tr><td align="justify" valign="top" charoff="50">Day Return to Baseline</td>
<td align="justify" valign="top" charoff="50">Day 3</td>
<td align="justify" valign="top" charoff="50">—</td>
<td align="justify" valign="top" charoff="50">Day 4</td>
<td align="justify" valign="top" charoff="50">Day 3</td>
<td align="justify" valign="top" charoff="50">Day 5</td>
<td align="justify" valign="top" charoff="50">—</td>
</tr>
</tbody>
</table>
</table-wrap>
</floats-group>
</pmc>
</record>
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