Study on age-dependent pre-existing 2009 pandemic influenza virus T and B cell responses from Chinese population
Identifieur interne : 000197 ( Pmc/Checkpoint ); précédent : 000196; suivant : 000198Study on age-dependent pre-existing 2009 pandemic influenza virus T and B cell responses from Chinese population
Auteurs : Jin Lv [République populaire de Chine] ; Zhen-Yong Ren [République populaire de Chine] ; Ying-Ying Zhang [République populaire de Chine] ; Yun-E Liu [République populaire de Chine] ; Jun Gao [République populaire de Chine] ; Kun Yao [République populaire de Chine] ; Dan Feng [République populaire de Chine] ; Zhen-Yuan Li [République populaire de Chine] ; Xin Feng [République populaire de Chine] ; Yun-Xi Liu [République populaire de Chine] ; Na Jia [République populaire de Chine]Source :
- BMC Infectious Diseases [ 1471-2334 ] ; 2017.
Abstract
The outbreak of the 2009 H1N1 influenza pandemic (H1N1pdm) affected thousands of people in Mexico and the United States, and spread rapidly throughout the world from April 2009 to July 2010. To explore the age-specific prevalence of seroprotection against H1N1pdm infection, we estimated pre-existing humoral and cellular immunities of residents in Northern China against H1N1pdm and seasonal H1N1 virus in an age-dependent manner.
Anonymous serum samples were collected from 1425 to 1434 adult healthy individuals before and after the pandemic outbreak, and then grouped by birth year 1913–1990. The antibody titers of H1N1pdm and seasonal H1N1 were determined using microneutralization (MN) assays, and the proportion of seropositive was estimated based on the year of birth. Separately, another 63 blood samples were collected in 2006 and prepared for analysis of virus specific memory B and IFN-γ+ T cells using the ELISpot assays.
The prevalence of pre-existing H1N1pdm-specific sero-antibodies in the elderly population (>60 years old) was 7.8%. The younger group, aged 19 to 60 years, exhibited a significant increase in seropositivity for H1N1pdm after the pandemic (4.9% before pandemic and 18.9% after pandemic,
Pre-existing serum antibodies and memory B cells against H1N1pdm were low in all age group, whereas diminished memory T cell responses to this virus were observed in the elderly population both before and after the pandemic.
The online version of this article (doi:10.1186/s12879-017-2215-1) contains supplementary material, which is available to authorized users.
Url:
DOI: 10.1186/s12879-017-2215-1
PubMed: 28187750
PubMed Central: 5301333
Affiliations:
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Study on age-dependent pre-existing 2009 pandemic influenza virus T and B cell responses from Chinese population</title>
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<author><name sortKey="Zhang, Ying Ying" sort="Zhang, Ying Ying" uniqKey="Zhang Y" first="Ying-Ying" last="Zhang">Ying-Ying Zhang</name>
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<author><name sortKey="Liu, Yun E" sort="Liu, Yun E" uniqKey="Liu Y" first="Yun-E" last="Liu">Yun-E Liu</name>
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<author><name sortKey="Gao, Jun" sort="Gao, Jun" uniqKey="Gao J" first="Jun" last="Gao">Jun Gao</name>
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16 Xin Jie Kou Wai Street, Hai-Dian District, Beijing, 100088 People’s Republic of China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>16 Xin Jie Kou Wai Street, Hai-Dian District, Beijing</wicri:regionArea>
<placeName><settlement type="city">Pékin</settlement>
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<author><name sortKey="Yao, Kun" sort="Yao, Kun" uniqKey="Yao K" first="Kun" last="Yao">Kun Yao</name>
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<institution>National Development and Reform Commission Hospital,</institution>
</institution-wrap>
Beijing, People’s Republic of China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Beijing</wicri:regionArea>
</affiliation>
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<author><name sortKey="Feng, Dan" sort="Feng, Dan" uniqKey="Feng D" first="Dan" last="Feng">Dan Feng</name>
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28 Fu-Xing Road, Hai-Dian District, Beijing, 10853 People’s Republic of China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>28 Fu-Xing Road, Hai-Dian District, Beijing</wicri:regionArea>
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<author><name sortKey="Li, Zhen Yuan" sort="Li, Zhen Yuan" uniqKey="Li Z" first="Zhen-Yuan" last="Li">Zhen-Yuan Li</name>
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16 Xin Jie Kou Wai Street, Hai-Dian District, Beijing, 100088 People’s Republic of China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>16 Xin Jie Kou Wai Street, Hai-Dian District, Beijing</wicri:regionArea>
<placeName><settlement type="city">Pékin</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Feng, Xin" sort="Feng, Xin" uniqKey="Feng X" first="Xin" last="Feng">Xin Feng</name>
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<institution-id institution-id-type="GRID">grid.414252.4</institution-id>
<institution></institution>
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16 Xin Jie Kou Wai Street, Hai-Dian District, Beijing, 100088 People’s Republic of China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>16 Xin Jie Kou Wai Street, Hai-Dian District, Beijing</wicri:regionArea>
<placeName><settlement type="city">Pékin</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Liu, Yun Xi" sort="Liu, Yun Xi" uniqKey="Liu Y" first="Yun-Xi" last="Liu">Yun-Xi Liu</name>
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28 Fu-Xing Road, Hai-Dian District, Beijing, 10853 People’s Republic of China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>28 Fu-Xing Road, Hai-Dian District, Beijing</wicri:regionArea>
<placeName><settlement type="city">Pékin</settlement>
</placeName>
</affiliation>
</author>
<author><name sortKey="Jia, Na" sort="Jia, Na" uniqKey="Jia N" first="Na" last="Jia">Na Jia</name>
<affiliation wicri:level="3"><nlm:aff id="Aff2"><institution-wrap><institution-id institution-id-type="GRID">grid.410576.1</institution-id>
<institution>State Key Laboratory of Pathogen and Biosecurity,</institution>
<institution>Beijing Institute of Microbiology and Epidemiology,</institution>
</institution-wrap>
20 Dong-Da Street, Fengtai District, Beijing, 100071 People’s Republic of China</nlm:aff>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>20 Dong-Da Street, Fengtai District, Beijing</wicri:regionArea>
<placeName><settlement type="city">Pékin</settlement>
</placeName>
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</analytic>
<series><title level="j">BMC Infectious Diseases</title>
<idno type="eISSN">1471-2334</idno>
<imprint><date when="2017">2017</date>
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<front><div type="abstract" xml:lang="en"><sec><title>Background</title>
<p>The outbreak of the 2009 H1N1 influenza pandemic (H1N1pdm) affected thousands of people in Mexico and the United States, and spread rapidly throughout the world from April 2009 to July 2010. To explore the age-specific prevalence of seroprotection against H1N1pdm infection, we estimated pre-existing humoral and cellular immunities of residents in Northern China against H1N1pdm and seasonal H1N1 virus in an age-dependent manner.</p>
</sec>
<sec><title>Methods</title>
<p>Anonymous serum samples were collected from 1425 to 1434 adult healthy individuals before and after the pandemic outbreak, and then grouped by birth year 1913–1990. The antibody titers of H1N1pdm and seasonal H1N1 were determined using microneutralization (MN) assays, and the proportion of seropositive was estimated based on the year of birth. Separately, another 63 blood samples were collected in 2006 and prepared for analysis of virus specific memory B and IFN-γ<sup>+</sup>
T cells using the ELISpot assays.</p>
</sec>
<sec><title>Results</title>
<p>The prevalence of pre-existing H1N1pdm-specific sero-antibodies in the elderly population (>60 years old) was 7.8%. The younger group, aged 19 to 60 years, exhibited a significant increase in seropositivity for H1N1pdm after the pandemic (4.9% before pandemic and 18.9% after pandemic, <italic>p</italic>
< 0.05). The prevalence of H1N1pdm specific MBCs before the pandemic in the elderly (>60 years) and younger populations (<60 years) was 38% (8/21) and 48% (20/42), respectively (<italic>p</italic>
= 0.6). The IFN-γ<sup>+</sup>
T cell responses to the pandemic and seasonal viruses were significantly lower in the elder group than those in the younger group (<60 years) (<italic>p</italic>
< 0.05).</p>
</sec>
<sec><title>Conclusions</title>
<p>Pre-existing serum antibodies and memory B cells against H1N1pdm were low in all age group, whereas diminished memory T cell responses to this virus were observed in the elderly population both before and after the pandemic.</p>
</sec>
<sec><title>Electronic supplementary material</title>
<p>The online version of this article (doi:10.1186/s12879-017-2215-1) contains supplementary material, which is available to authorized users.</p>
</sec>
</div>
</front>
<back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Dawood, Fs" uniqKey="Dawood F">FS Dawood</name>
</author>
<author><name sortKey="Jain, S" uniqKey="Jain S">S Jain</name>
</author>
<author><name sortKey="Finelli, L" uniqKey="Finelli L">L Finelli</name>
</author>
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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">BMC Infect Dis</journal-id>
<journal-id journal-id-type="iso-abbrev">BMC Infect. Dis</journal-id>
<journal-title-group><journal-title>BMC Infectious Diseases</journal-title>
</journal-title-group>
<issn pub-type="epub">1471-2334</issn>
<publisher><publisher-name>BioMed Central</publisher-name>
<publisher-loc>London</publisher-loc>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">28187750</article-id>
<article-id pub-id-type="pmc">5301333</article-id>
<article-id pub-id-type="publisher-id">2215</article-id>
<article-id pub-id-type="doi">10.1186/s12879-017-2215-1</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>Study on age-dependent pre-existing 2009 pandemic influenza virus T and B cell responses from Chinese population</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" equal-contrib="yes"><name><surname>Lv</surname>
<given-names>Jin</given-names>
</name>
<address><email>lvjin6630@hotmail.com</email>
</address>
<xref ref-type="aff" rid="Aff1">1</xref>
</contrib>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Ren</surname>
<given-names>Zhen-Yong</given-names>
</name>
<address><email>handsomeren0418@sohu.com</email>
</address>
<xref ref-type="aff" rid="Aff4">4</xref>
</contrib>
<contrib contrib-type="author" equal-contrib="yes"><name><surname>Zhang</surname>
<given-names>Ying-Ying</given-names>
</name>
<address><email>xray19@126.com</email>
</address>
<xref ref-type="aff" rid="Aff1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Liu</surname>
<given-names>Yun-E</given-names>
</name>
<address><email>chenfei-liu@163.com</email>
</address>
<xref ref-type="aff" rid="Aff1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Gao</surname>
<given-names>Jun</given-names>
</name>
<address><email>jj453313231@126.com</email>
</address>
<xref ref-type="aff" rid="Aff1">1</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Yao</surname>
<given-names>Kun</given-names>
</name>
<address><email>qwyk66@163.com</email>
</address>
<xref ref-type="aff" rid="Aff5">5</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Feng</surname>
<given-names>Dan</given-names>
</name>
<address><email>fddd@263.net</email>
</address>
<xref ref-type="aff" rid="Aff3">3</xref>
</contrib>
<contrib contrib-type="author"><name><surname>Li</surname>
<given-names>Zhen-Yuan</given-names>
</name>
<address><email>zylee521@yeah.net</email>
</address>
<xref ref-type="aff" rid="Aff1">1</xref>
</contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Feng</surname>
<given-names>Xin</given-names>
</name>
<address><phone>+86-010-66343017</phone>
<email>fengxin722@aliyun.com</email>
</address>
<xref ref-type="aff" rid="Aff1">1</xref>
</contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Liu</surname>
<given-names>Yun-Xi</given-names>
</name>
<address><phone>(086) 10-66948652</phone>
<email>yunxiliu6511@sohu.com</email>
</address>
<xref ref-type="aff" rid="Aff3">3</xref>
</contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Jia</surname>
<given-names>Na</given-names>
</name>
<address><phone>(086) 10-66948442</phone>
<email>jiana79_41@hotmail.com</email>
</address>
<xref ref-type="aff" rid="Aff2">2</xref>
</contrib>
<aff id="Aff1"><label>1</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0004 1761 8894</institution-id>
<institution-id institution-id-type="GRID">grid.414252.4</institution-id>
<institution></institution>
<institution>The General Hospital of PLA Rocket Force,</institution>
</institution-wrap>
16 Xin Jie Kou Wai Street, Hai-Dian District, Beijing, 100088 People’s Republic of China</aff>
<aff id="Aff2"><label>2</label>
<institution-wrap><institution-id institution-id-type="GRID">grid.410576.1</institution-id>
<institution>State Key Laboratory of Pathogen and Biosecurity,</institution>
<institution>Beijing Institute of Microbiology and Epidemiology,</institution>
</institution-wrap>
20 Dong-Da Street, Fengtai District, Beijing, 100071 People’s Republic of China</aff>
<aff id="Aff3"><label>3</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0004 1761 8894</institution-id>
<institution-id institution-id-type="GRID">grid.414252.4</institution-id>
<institution></institution>
<institution>Chinese PLA General Hospital,</institution>
</institution-wrap>
28 Fu-Xing Road, Hai-Dian District, Beijing, 10853 People’s Republic of China</aff>
<aff id="Aff4"><label>4</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0000 8803 2373</institution-id>
<institution-id institution-id-type="GRID">grid.198530.6</institution-id>
<institution></institution>
<institution>Beijing Center for Disease Prevention and Control,</institution>
</institution-wrap>
Beijing, 100013 People’s Republic of China</aff>
<aff id="Aff5"><label>5</label>
<institution-wrap><institution-id institution-id-type="ISNI">0000 0000 9633 0629</institution-id>
<institution-id institution-id-type="GRID">grid.464259.8</institution-id>
<institution></institution>
<institution>National Development and Reform Commission Hospital,</institution>
</institution-wrap>
Beijing, People’s Republic of China</aff>
</contrib-group>
<pub-date pub-type="epub"><day>10</day>
<month>2</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="pmc-release"><day>10</day>
<month>2</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection"><year>2017</year>
</pub-date>
<volume>17</volume>
<elocation-id>136</elocation-id>
<history><date date-type="received"><day>21</day>
<month>7</month>
<year>2016</year>
</date>
<date date-type="accepted"><day>20</day>
<month>1</month>
<year>2017</year>
</date>
</history>
<permissions><copyright-statement>© The Author(s). 2017</copyright-statement>
<license license-type="OpenAccess"><license-p><bold>Open Access</bold>
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</ext-link>
), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/publicdomain/zero/1.0/">http://creativecommons.org/publicdomain/zero/1.0/</ext-link>
) applies to the data made available in this article, unless otherwise stated.</license-p>
</license>
</permissions>
<abstract id="Abs1"><sec><title>Background</title>
<p>The outbreak of the 2009 H1N1 influenza pandemic (H1N1pdm) affected thousands of people in Mexico and the United States, and spread rapidly throughout the world from April 2009 to July 2010. To explore the age-specific prevalence of seroprotection against H1N1pdm infection, we estimated pre-existing humoral and cellular immunities of residents in Northern China against H1N1pdm and seasonal H1N1 virus in an age-dependent manner.</p>
</sec>
<sec><title>Methods</title>
<p>Anonymous serum samples were collected from 1425 to 1434 adult healthy individuals before and after the pandemic outbreak, and then grouped by birth year 1913–1990. The antibody titers of H1N1pdm and seasonal H1N1 were determined using microneutralization (MN) assays, and the proportion of seropositive was estimated based on the year of birth. Separately, another 63 blood samples were collected in 2006 and prepared for analysis of virus specific memory B and IFN-γ<sup>+</sup>
T cells using the ELISpot assays.</p>
</sec>
<sec><title>Results</title>
<p>The prevalence of pre-existing H1N1pdm-specific sero-antibodies in the elderly population (>60 years old) was 7.8%. The younger group, aged 19 to 60 years, exhibited a significant increase in seropositivity for H1N1pdm after the pandemic (4.9% before pandemic and 18.9% after pandemic, <italic>p</italic>
< 0.05). The prevalence of H1N1pdm specific MBCs before the pandemic in the elderly (>60 years) and younger populations (<60 years) was 38% (8/21) and 48% (20/42), respectively (<italic>p</italic>
= 0.6). The IFN-γ<sup>+</sup>
T cell responses to the pandemic and seasonal viruses were significantly lower in the elder group than those in the younger group (<60 years) (<italic>p</italic>
< 0.05).</p>
</sec>
<sec><title>Conclusions</title>
<p>Pre-existing serum antibodies and memory B cells against H1N1pdm were low in all age group, whereas diminished memory T cell responses to this virus were observed in the elderly population both before and after the pandemic.</p>
</sec>
<sec><title>Electronic supplementary material</title>
<p>The online version of this article (doi:10.1186/s12879-017-2215-1) contains supplementary material, which is available to authorized users.</p>
</sec>
</abstract>
<kwd-group xml:lang="en"><title>Keywords</title>
<kwd>Pandemic influenza</kwd>
<kwd>Memory B cell</kwd>
<kwd>IFN-γ<sup>+</sup>
T cell</kwd>
<kwd>ELISpot</kwd>
<kwd>Age-dependent</kwd>
</kwd-group>
<funding-group><award-group><funding-source><institution>the State Key Research Development Program of China</institution>
</funding-source>
<award-id>2016YFC 1200301</award-id>
<principal-award-recipient><name><surname>Jia</surname>
<given-names>Na</given-names>
</name>
</principal-award-recipient>
</award-group>
</funding-group>
<custom-meta-group><custom-meta><meta-name>issue-copyright-statement</meta-name>
<meta-value>© The Author(s) 2017</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
</pmc>
<affiliations><list><country><li>République populaire de Chine</li>
</country>
<settlement><li>Pékin</li>
</settlement>
</list>
<tree><country name="République populaire de Chine"><noRegion><name sortKey="Lv, Jin" sort="Lv, Jin" uniqKey="Lv J" first="Jin" last="Lv">Jin Lv</name>
</noRegion>
<name sortKey="Feng, Dan" sort="Feng, Dan" uniqKey="Feng D" first="Dan" last="Feng">Dan Feng</name>
<name sortKey="Feng, Xin" sort="Feng, Xin" uniqKey="Feng X" first="Xin" last="Feng">Xin Feng</name>
<name sortKey="Gao, Jun" sort="Gao, Jun" uniqKey="Gao J" first="Jun" last="Gao">Jun Gao</name>
<name sortKey="Jia, Na" sort="Jia, Na" uniqKey="Jia N" first="Na" last="Jia">Na Jia</name>
<name sortKey="Li, Zhen Yuan" sort="Li, Zhen Yuan" uniqKey="Li Z" first="Zhen-Yuan" last="Li">Zhen-Yuan Li</name>
<name sortKey="Liu, Yun E" sort="Liu, Yun E" uniqKey="Liu Y" first="Yun-E" last="Liu">Yun-E Liu</name>
<name sortKey="Liu, Yun Xi" sort="Liu, Yun Xi" uniqKey="Liu Y" first="Yun-Xi" last="Liu">Yun-Xi Liu</name>
<name sortKey="Ren, Zhen Yong" sort="Ren, Zhen Yong" uniqKey="Ren Z" first="Zhen-Yong" last="Ren">Zhen-Yong Ren</name>
<name sortKey="Yao, Kun" sort="Yao, Kun" uniqKey="Yao K" first="Kun" last="Yao">Kun Yao</name>
<name sortKey="Zhang, Ying Ying" sort="Zhang, Ying Ying" uniqKey="Zhang Y" first="Ying-Ying" last="Zhang">Ying-Ying Zhang</name>
</country>
</tree>
</affiliations>
</record>
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