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Longitudinal and Integrative Biomodeling of Effector and Memory Immune Compartments after Inactivated Influenza Vaccination

Identifieur interne : 000371 ( Hal/Curation ); précédent : 000370; suivant : 000372

Longitudinal and Integrative Biomodeling of Effector and Memory Immune Compartments after Inactivated Influenza Vaccination

Auteurs : O. Bonduelle [France] ; N. Yahia [France] ; S. Siberil [France] ; N. Benhabiles [France] ; F. Carrat [France] ; A. Krivine [France] ; F. Rozenberg [France] ; J. Dimitrov ; S. Kaveri ; A. Curjol [France] ; M. Tindel [France] ; M. Louet [France] ; F. Desert [France] ; O. Launay [France] ; P. Loulergue [France] ; G. Badre [France] ; C. Katlama [France] ; F. Bricaire [France] ; A. Samri [France] ; D. Rousset [France] ; S. Van Der Werf [France] ; S. Jauréguiberry [France] ; B. Combadiere [France]

Source :

RBID : Hal:cea-01791413

Abstract

Most vaccines, including those against influenza, were developed by focusing solely on humoral response for protection. However, vaccination activates different adaptive compartments that might play a role in protection. We took advantage of the pandemic 2009 A(H1N1) influenza vaccination to conduct a longitudinal integrative multiparametric analysis of seven immune parameters in vaccinated subjects. A global analysis underlined the predominance of induction of humoral and CD4 T cell responses, whereas pandemic 2009 A(H1N1)-specific CD8 responses did not improve after vaccination. A principal component analysis and hierarchical clustering of individuals showed a differential upregulation of influenza vaccine-specific immunity including hemagglutination inhibition titers, IgA$^+$ and IgG$^+$ Ab-secreting cells, effector CD4 or CD8 T cell frequencies at day 21 among individuals, suggesting a fine-tuning of the immune parameters after vaccination. This is related to individual factors including the magnitude and quality of influenza-specific immune responses before vaccination. We propose a graphical delineation of immune determinants that would be essential for a better understanding of vaccine-induced immunity in vaccination strategies


Url:
DOI: 10.4049/jimmunol.1203483

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Hal:cea-01791413

Le document en format XML

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<idno type="DOI">10.4049/jimmunol.1203483</idno>
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<title level="j">Journal of Immunology</title>
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<front>
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<p>Most vaccines, including those against influenza, were developed by focusing solely on humoral response for protection. However, vaccination activates different adaptive compartments that might play a role in protection. We took advantage of the pandemic 2009 A(H1N1) influenza vaccination to conduct a longitudinal integrative multiparametric analysis of seven immune parameters in vaccinated subjects. A global analysis underlined the predominance of induction of humoral and CD4 T cell responses, whereas pandemic 2009 A(H1N1)-specific CD8 responses did not improve after vaccination. A principal component analysis and hierarchical clustering of individuals showed a differential upregulation of influenza vaccine-specific immunity including hemagglutination inhibition titers, IgA$^+$ and IgG$^+$ Ab-secreting cells, effector CD4 or CD8 T cell frequencies at day 21 among individuals, suggesting a fine-tuning of the immune parameters after vaccination. This is related to individual factors including the magnitude and quality of influenza-specific immune responses before vaccination. We propose a graphical delineation of immune determinants that would be essential for a better understanding of vaccine-induced immunity in vaccination strategies</p>
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<hal api="V3">
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<title xml:lang="en">Longitudinal and Integrative Biomodeling of Effector and Memory Immune Compartments after Inactivated Influenza Vaccination</title>
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<forename type="first">O.</forename>
<surname>Bonduelle</surname>
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<author role="aut">
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<forename type="first">N.</forename>
<surname>Yahia</surname>
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<idno type="halauthorid">11200870</idno>
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<forename type="first">S.</forename>
<surname>Siberil</surname>
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<forename type="first">N.</forename>
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<forename type="first">F.</forename>
<surname>Carrat</surname>
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<forename type="first">M.</forename>
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<author role="aut">
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<forename type="first">O.</forename>
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</author>
<author role="aut">
<persName>
<forename type="first">C.</forename>
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<author role="aut">
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<forename type="first">F.</forename>
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<forename type="first">D.</forename>
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<author role="aut">
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<forename type="first">S.</forename>
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<author role="aut">
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<email type="md5">582f92ffece0afd20bf72539885be813</email>
<email type="domain">cea.fr</email>
</editor>
<funder>This work was supported by a grant from the Programme de Recherche, A(H1N1) coordinated by the Institut de Microbiologie et Maladies Infectieuses (France). B.C. has been awarded an INSERM-Assistance Publique/Hôpitaux de Paris Interface Program contract and is supported by the Fondation pour la Recherche Medicale.</funder>
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<title xml:lang="en">Longitudinal and Integrative Biomodeling of Effector and Memory Immune Compartments after Inactivated Influenza Vaccination</title>
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<forename type="first">F.</forename>
<surname>Carrat</surname>
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<email type="md5">d3fac14bbecb5ab5a5029e3cc79cb4ca</email>
<email type="domain">iplesp.upmc.fr</email>
<idno type="idhal" notation="string">fabrice-carrat</idno>
<idno type="idhal" notation="numeric">181388</idno>
<idno type="halauthorid">237640</idno>
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<author role="aut">
<persName>
<forename type="first">A.</forename>
<surname>Krivine</surname>
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<idno type="halauthorid">1538592</idno>
<affiliation ref="#struct-444301"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">F.</forename>
<surname>Rozenberg</surname>
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<idno type="halauthorid">178560</idno>
<affiliation ref="#struct-444301"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">J.</forename>
<surname>Dimitrov</surname>
</persName>
<idno type="halauthorid">11200872</idno>
<affiliation ref="#struct-434472"></affiliation>
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<author role="aut">
<persName>
<forename type="first">S.</forename>
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<author role="aut">
<persName>
<forename type="first">A.</forename>
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<author role="aut">
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<forename type="first">M.</forename>
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<author role="aut">
<persName>
<forename type="first">M.</forename>
<surname>Louet</surname>
</persName>
<idno type="halauthorid">11200875</idno>
<affiliation ref="#struct-353778"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">F.</forename>
<surname>Desert</surname>
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<idno type="halauthorid">591844</idno>
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</author>
<author role="aut">
<persName>
<forename type="first">O.</forename>
<surname>Launay</surname>
</persName>
<idno type="halauthorid">1154856</idno>
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</author>
<author role="aut">
<persName>
<forename type="first">P.</forename>
<surname>Loulergue</surname>
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<idno type="halauthorid">1154852</idno>
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<author role="aut">
<persName>
<forename type="first">G.</forename>
<surname>Badre</surname>
</persName>
<idno type="halauthorid">11200876</idno>
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</author>
<author role="aut">
<persName>
<forename type="first">C.</forename>
<surname>Katlama</surname>
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<persName>
<forename type="first">F.</forename>
<surname>Bricaire</surname>
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<idno type="halauthorid">442714</idno>
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</author>
<author role="aut">
<persName>
<forename type="first">A.</forename>
<surname>Samri</surname>
</persName>
<idno type="halauthorid">429336</idno>
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<author role="aut">
<persName>
<forename type="first">D.</forename>
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<idno type="halauthorid">88555</idno>
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</author>
<author role="aut">
<persName>
<forename type="first">S.</forename>
<surname>Van Der Werf</surname>
</persName>
<idno type="halauthorid">158298</idno>
<affiliation ref="#struct-417138"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">S.</forename>
<surname>Jauréguiberry</surname>
</persName>
<idno type="halauthorid">11199561</idno>
<affiliation ref="#struct-507629"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">B.</forename>
<surname>Combadiere</surname>
</persName>
<idno type="halauthorid">374575</idno>
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<idno type="issn">0022-1767</idno>
<idno type="eissn">1550-6606</idno>
<title level="j">Journal of Immunology</title>
<imprint>
<publisher>Publisher : Baltimore : Williams & Wilkins, c1950-. Latest Publisher : Bethesda, MD : American Association of Immunologists</publisher>
<biblScope unit="volume">191</biblScope>
<biblScope unit="issue">2</biblScope>
<biblScope unit="pp">623 - 631</biblScope>
<date type="datePub">2013-07-03</date>
</imprint>
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<idno type="doi">10.4049/jimmunol.1203483</idno>
<idno type="pubmed">23776176</idno>
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<abstract xml:lang="en">
<p>Most vaccines, including those against influenza, were developed by focusing solely on humoral response for protection. However, vaccination activates different adaptive compartments that might play a role in protection. We took advantage of the pandemic 2009 A(H1N1) influenza vaccination to conduct a longitudinal integrative multiparametric analysis of seven immune parameters in vaccinated subjects. A global analysis underlined the predominance of induction of humoral and CD4 T cell responses, whereas pandemic 2009 A(H1N1)-specific CD8 responses did not improve after vaccination. A principal component analysis and hierarchical clustering of individuals showed a differential upregulation of influenza vaccine-specific immunity including hemagglutination inhibition titers, IgA$^+$ and IgG$^+$ Ab-secreting cells, effector CD4 or CD8 T cell frequencies at day 21 among individuals, suggesting a fine-tuning of the immune parameters after vaccination. This is related to individual factors including the magnitude and quality of influenza-specific immune responses before vaccination. We propose a graphical delineation of immune determinants that would be essential for a better understanding of vaccine-induced immunity in vaccination strategies</p>
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