Serveur d'exploration H2N2

Attention, ce site est en cours de développement !
Attention, site généré par des moyens informatiques à partir de corpus bruts.
Les informations ne sont donc pas validées.

Does Glycosylation as a modifier of Original Antigenic Sin explain the case age distribution and unusual toxicity in pandemic novel H1N1 influenza?

Identifieur interne : 000E88 ( Main/Exploration ); précédent : 000E87; suivant : 000E89

Does Glycosylation as a modifier of Original Antigenic Sin explain the case age distribution and unusual toxicity in pandemic novel H1N1 influenza?

Auteurs : Tom Reichert [États-Unis] ; Gerardo Chowell [États-Unis] ; Hiroshi Nishiura [Japon, Pays-Bas] ; Ronald A. Christensen [États-Unis] ; Jonathan A. Mccullers [États-Unis]

Source :

RBID : PMC:3003248

Abstract

Background

A pandemic novel H1N1 swine-origin influenza virus has emerged. Most recently the World Health Organization has announced that in a country-dependent fashion, up to 15% of cases may require hospitalization, often including respiratory support. It is now clear that healthy children and young adults are disproportionately affected, most unusually among those with severe respiratory disease without underlying conditions. One possible explanation for this case age distribution is the doctrine of Original Antigenic Sin, i.e., novel H1N1 may be antigenically similar to H1N1 viruses that circulated at an earlier time. Persons whose first exposure to influenza viruses was to such similar viruses would be relatively immune. However, this principle is not sufficient to explain the graded susceptibility between ages 20 and 60, the reduced susceptibility in children below age 10, and the unusual toxicity observed.

Methods

We collected case data from 11 countries, about 60% of all cases reported through mid-July 2009. We compared sequence data for the hemagglutinin of novel H1N1 with sequences of H1N1 viruses from 1918 to the present. We searched for sequence differences that imply loss of antigenicity either directly through amino acid substitution or by the appearance of sites for potential glycosylation proximal to sites known to be antigenic in humans. We also considered T-cell epitopes.

Results

In our composite, over 75% of confirmed cases of novel H1N1 occurred in persons ≤ 30 years old, with peak incidence in the age range 10-19 years. Less than 3% of cases occurred in persons over 65, with a gradation in incidence between ages 20 and 60 years.

The sequence data indicates that novel H1N1 is most similar to H1N1 viruses that circulated before 1943. Novel H1N1 lacks glycosylation sites on the globular head of hemagglutinin (HA1) near antigenic regions, a pattern shared with the 1918 pandemic strain and H1N1 viruses that circulated until the early 1940s. Later H1N1 viruses progressively added new glycosylation sites likely to shield antigenic epitopes, while T-cell epitopes were relatively unchanged.

Conclusions

In this evolutionary context, Original Antigenic Sin exposure should produce an immune response increasingly mismatched to novel H1N1 in progressively younger persons. We suggest that it is this mismatch that produces both the gradation in susceptibility and the unusual toxicity. Several murine studies suggest specific cell types as a likely basis of the unusual toxicity. These studies also point to widely available pharmaceutical agents as plausible candidates for mitigating the toxic effects. The principle of Original Antigenic Sin modified by glycosylation appears to explain both the case age distribution and the unusual toxicity pattern of the novel H1N1 pandemic. In addition, it suggests pharmaceutical agents for immediate investigation for mitigation potential, and provides strategic guidance for the distribution of pandemic mitigation resources of all types.


Url:
DOI: 10.1186/1471-2334-10-5
PubMed: 20059763
PubMed Central: 3003248


Affiliations:


Links toward previous steps (curation, corpus...)


Le document en format XML

<record>
<TEI>
<teiHeader>
<fileDesc>
<titleStmt>
<title xml:lang="en">Does Glycosylation as a modifier of Original Antigenic Sin explain the case age distribution and unusual toxicity in pandemic novel H1N1 influenza?</title>
<author>
<name sortKey="Reichert, Tom" sort="Reichert, Tom" uniqKey="Reichert T" first="Tom" last="Reichert">Tom Reichert</name>
<affiliation wicri:level="2">
<nlm:aff id="I1">Entropy Research Institute, 345 S. Great Road, Lincoln, 01773, Massachusetts, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Entropy Research Institute, 345 S. Great Road, Lincoln, 01773, Massachusetts</wicri:regionArea>
<placeName>
<region type="state">Massachusetts</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Chowell, Gerardo" sort="Chowell, Gerardo" uniqKey="Chowell G" first="Gerardo" last="Chowell">Gerardo Chowell</name>
<affiliation wicri:level="2">
<nlm:aff id="I2">Mathematical, Computational & Modeling Sciences Center, School of Human Evolution and Social Change, Arizona State University, Tempe, 85287, Arizona, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Mathematical, Computational & Modeling Sciences Center, School of Human Evolution and Social Change, Arizona State University, Tempe, 85287, Arizona</wicri:regionArea>
<placeName>
<region type="state">Arizona</region>
</placeName>
</affiliation>
<affiliation wicri:level="2">
<nlm:aff id="I3">Division of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, 31 Center Dr-MSC 2220, Bethesda, 20892-2220, Maryland, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Division of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, 31 Center Dr-MSC 2220, Bethesda, 20892-2220, Maryland</wicri:regionArea>
<placeName>
<region type="state">Maryland</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Nishiura, Hiroshi" sort="Nishiura, Hiroshi" uniqKey="Nishiura H" first="Hiroshi" last="Nishiura">Hiroshi Nishiura</name>
<affiliation wicri:level="1">
<nlm:aff id="I4">PRESTO, Japan Science and Technology Agency, Saitama, 332-0012, Japan</nlm:aff>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>PRESTO, Japan Science and Technology Agency, Saitama, 332-0012</wicri:regionArea>
<wicri:noRegion>332-0012</wicri:noRegion>
</affiliation>
<affiliation wicri:level="1">
<nlm:aff id="I5">Theoretical Epidemiology, University of Utrecht, 3584 CL Utrecht, The Netherlands</nlm:aff>
<country xml:lang="fr">Pays-Bas</country>
<wicri:regionArea>Theoretical Epidemiology, University of Utrecht, 3584 CL Utrecht</wicri:regionArea>
<wicri:noRegion>3584 CL Utrecht</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Christensen, Ronald A" sort="Christensen, Ronald A" uniqKey="Christensen R" first="Ronald A" last="Christensen">Ronald A. Christensen</name>
<affiliation wicri:level="2">
<nlm:aff id="I1">Entropy Research Institute, 345 S. Great Road, Lincoln, 01773, Massachusetts, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Entropy Research Institute, 345 S. Great Road, Lincoln, 01773, Massachusetts</wicri:regionArea>
<placeName>
<region type="state">Massachusetts</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Mccullers, Jonathan A" sort="Mccullers, Jonathan A" uniqKey="Mccullers J" first="Jonathan A" last="Mccullers">Jonathan A. Mccullers</name>
<affiliation wicri:level="2">
<nlm:aff id="I6">Department of Infectious Diseases, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, 38104, Tennessee, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Infectious Diseases, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, 38104, Tennessee</wicri:regionArea>
<placeName>
<region type="state">Tennessee</region>
</placeName>
</affiliation>
</author>
</titleStmt>
<publicationStmt>
<idno type="wicri:source">PMC</idno>
<idno type="pmid">20059763</idno>
<idno type="pmc">3003248</idno>
<idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3003248</idno>
<idno type="RBID">PMC:3003248</idno>
<idno type="doi">10.1186/1471-2334-10-5</idno>
<date when="2010">2010</date>
<idno type="wicri:Area/Pmc/Corpus">000907</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000907</idno>
<idno type="wicri:Area/Pmc/Curation">000907</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">000907</idno>
<idno type="wicri:Area/Pmc/Checkpoint">000954</idno>
<idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">000954</idno>
<idno type="wicri:Area/Ncbi/Merge">000470</idno>
<idno type="wicri:Area/Ncbi/Curation">000470</idno>
<idno type="wicri:Area/Ncbi/Checkpoint">000470</idno>
<idno type="wicri:Area/Main/Merge">000E95</idno>
<idno type="wicri:Area/Main/Curation">000E88</idno>
<idno type="wicri:Area/Main/Exploration">000E88</idno>
</publicationStmt>
<sourceDesc>
<biblStruct>
<analytic>
<title xml:lang="en" level="a" type="main">Does Glycosylation as a modifier of Original Antigenic Sin explain the case age distribution and unusual toxicity in pandemic novel H1N1 influenza?</title>
<author>
<name sortKey="Reichert, Tom" sort="Reichert, Tom" uniqKey="Reichert T" first="Tom" last="Reichert">Tom Reichert</name>
<affiliation wicri:level="2">
<nlm:aff id="I1">Entropy Research Institute, 345 S. Great Road, Lincoln, 01773, Massachusetts, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Entropy Research Institute, 345 S. Great Road, Lincoln, 01773, Massachusetts</wicri:regionArea>
<placeName>
<region type="state">Massachusetts</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Chowell, Gerardo" sort="Chowell, Gerardo" uniqKey="Chowell G" first="Gerardo" last="Chowell">Gerardo Chowell</name>
<affiliation wicri:level="2">
<nlm:aff id="I2">Mathematical, Computational & Modeling Sciences Center, School of Human Evolution and Social Change, Arizona State University, Tempe, 85287, Arizona, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Mathematical, Computational & Modeling Sciences Center, School of Human Evolution and Social Change, Arizona State University, Tempe, 85287, Arizona</wicri:regionArea>
<placeName>
<region type="state">Arizona</region>
</placeName>
</affiliation>
<affiliation wicri:level="2">
<nlm:aff id="I3">Division of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, 31 Center Dr-MSC 2220, Bethesda, 20892-2220, Maryland, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Division of Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, 31 Center Dr-MSC 2220, Bethesda, 20892-2220, Maryland</wicri:regionArea>
<placeName>
<region type="state">Maryland</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Nishiura, Hiroshi" sort="Nishiura, Hiroshi" uniqKey="Nishiura H" first="Hiroshi" last="Nishiura">Hiroshi Nishiura</name>
<affiliation wicri:level="1">
<nlm:aff id="I4">PRESTO, Japan Science and Technology Agency, Saitama, 332-0012, Japan</nlm:aff>
<country xml:lang="fr">Japon</country>
<wicri:regionArea>PRESTO, Japan Science and Technology Agency, Saitama, 332-0012</wicri:regionArea>
<wicri:noRegion>332-0012</wicri:noRegion>
</affiliation>
<affiliation wicri:level="1">
<nlm:aff id="I5">Theoretical Epidemiology, University of Utrecht, 3584 CL Utrecht, The Netherlands</nlm:aff>
<country xml:lang="fr">Pays-Bas</country>
<wicri:regionArea>Theoretical Epidemiology, University of Utrecht, 3584 CL Utrecht</wicri:regionArea>
<wicri:noRegion>3584 CL Utrecht</wicri:noRegion>
</affiliation>
</author>
<author>
<name sortKey="Christensen, Ronald A" sort="Christensen, Ronald A" uniqKey="Christensen R" first="Ronald A" last="Christensen">Ronald A. Christensen</name>
<affiliation wicri:level="2">
<nlm:aff id="I1">Entropy Research Institute, 345 S. Great Road, Lincoln, 01773, Massachusetts, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Entropy Research Institute, 345 S. Great Road, Lincoln, 01773, Massachusetts</wicri:regionArea>
<placeName>
<region type="state">Massachusetts</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Mccullers, Jonathan A" sort="Mccullers, Jonathan A" uniqKey="Mccullers J" first="Jonathan A" last="Mccullers">Jonathan A. Mccullers</name>
<affiliation wicri:level="2">
<nlm:aff id="I6">Department of Infectious Diseases, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, 38104, Tennessee, USA</nlm:aff>
<country xml:lang="fr">États-Unis</country>
<wicri:regionArea>Department of Infectious Diseases, St. Jude Children's Research Hospital, 262 Danny Thomas Place, Memphis, 38104, Tennessee</wicri:regionArea>
<placeName>
<region type="state">Tennessee</region>
</placeName>
</affiliation>
</author>
</analytic>
<series>
<title level="j">BMC Infectious Diseases</title>
<idno type="eISSN">1471-2334</idno>
<imprint>
<date when="2010">2010</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc>
<textClass></textClass>
</profileDesc>
</teiHeader>
<front>
<div type="abstract" xml:lang="en">
<sec>
<title>Background</title>
<p>A pandemic novel H1N1 swine-origin influenza virus has emerged. Most recently the World Health Organization has announced that in a country-dependent fashion, up to 15% of cases may require hospitalization, often including respiratory support. It is now clear that healthy children and young adults are disproportionately affected, most unusually among those with severe respiratory disease without underlying conditions. One possible explanation for this case age distribution is the doctrine of Original Antigenic Sin, i.e., novel H1N1 may be antigenically similar to H1N1 viruses that circulated at an earlier time. Persons whose first exposure to influenza viruses was to such similar viruses would be relatively immune. However, this principle is not sufficient to explain the graded susceptibility between ages 20 and 60, the reduced susceptibility in children below age 10, and the unusual toxicity observed.</p>
</sec>
<sec>
<title>Methods</title>
<p>We collected case data from 11 countries, about 60% of all cases reported through mid-July 2009. We compared sequence data for the hemagglutinin of novel H1N1 with sequences of H1N1 viruses from 1918 to the present. We searched for sequence differences that imply loss of antigenicity either directly through amino acid substitution or by the appearance of sites for potential glycosylation proximal to sites known to be antigenic in humans. We also considered T-cell epitopes.</p>
</sec>
<sec>
<title>Results</title>
<p>In our composite, over 75% of confirmed cases of novel H1N1 occurred in persons ≤ 30 years old, with peak incidence in the age range 10-19 years. Less than 3% of cases occurred in persons over 65, with a gradation in incidence between ages 20 and 60 years.</p>
<p>The sequence data indicates that novel H1N1 is most similar to H1N1 viruses that circulated before 1943. Novel H1N1 lacks glycosylation sites on the globular head of hemagglutinin (HA1) near antigenic regions, a pattern shared with the 1918 pandemic strain and H1N1 viruses that circulated until the early 1940s. Later H1N1 viruses progressively added new glycosylation sites likely to shield antigenic epitopes, while T-cell epitopes were relatively unchanged.</p>
</sec>
<sec>
<title>Conclusions</title>
<p>In this evolutionary context, Original Antigenic Sin exposure should produce an immune response increasingly mismatched to novel H1N1 in progressively younger persons. We suggest that it is this mismatch that produces both the gradation in susceptibility and the unusual toxicity. Several murine studies suggest specific cell types as a likely basis of the unusual toxicity. These studies also point to widely available pharmaceutical agents as plausible candidates for mitigating the toxic effects. The principle of Original Antigenic Sin modified by glycosylation appears to explain both the case age distribution and the unusual toxicity pattern of the novel H1N1 pandemic. In addition, it suggests pharmaceutical agents for immediate investigation for mitigation potential, and provides strategic guidance for the distribution of pandemic mitigation resources of all types.</p>
</sec>
</div>
</front>
<back>
<div1 type="bibliography">
<listBibl>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Munayco, Cv" uniqKey="Munayco C">CV Munayco</name>
</author>
<author>
<name sortKey="Gomez, J" uniqKey="Gomez J">J Gomez</name>
</author>
<author>
<name sortKey="Laguna Torres, Va" uniqKey="Laguna Torres V">VA Laguna-Torres</name>
</author>
<author>
<name sortKey="Arrasco, J" uniqKey="Arrasco J">J Arrasco</name>
</author>
<author>
<name sortKey="Garcia, J" uniqKey="Garcia J">J Garcia</name>
</author>
<author>
<name sortKey="Kochel, Tj" uniqKey="Kochel T">TJ Kochel</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Nishiura, H" uniqKey="Nishiura H">H Nishiura</name>
</author>
<author>
<name sortKey="Castillo Chavez" uniqKey="Castillo Chavez">Castillo-Chavez</name>
</author>
<author>
<name sortKey="Safan, M" uniqKey="Safan M">M Safan</name>
</author>
<author>
<name sortKey="Chowell, G" uniqKey="Chowell G">G Chowell</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Squires, B" uniqKey="Squires B">B Squires</name>
</author>
<author>
<name sortKey="Macken, C" uniqKey="Macken C">C Macken</name>
</author>
<author>
<name sortKey="Garcia Sastre, A" uniqKey="Garcia Sastre A">A Garcia-Sastre</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Mccullers, Ja" uniqKey="Mccullers J">JA McCullers</name>
</author>
<author>
<name sortKey="Saito, T" uniqKey="Saito T">T Saito</name>
</author>
<author>
<name sortKey="Iverson, Ar" uniqKey="Iverson A">AR Iverson</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Davenport, Fm" uniqKey="Davenport F">FM Davenport</name>
</author>
<author>
<name sortKey="Hennesey, Av" uniqKey="Hennesey A">AV Hennesey</name>
</author>
<author>
<name sortKey="Francis, T" uniqKey="Francis T">T Francis</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="De St Groth, F" uniqKey="De St Groth F">F De St Groth</name>
</author>
<author>
<name sortKey="Webster, Rg" uniqKey="Webster R">RG Webster</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Katz, J" uniqKey="Katz J">J Katz</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Klenerman, P" uniqKey="Klenerman P">P Klenerman</name>
</author>
<author>
<name sortKey="Zinkernagel, Rm" uniqKey="Zinkernagel R">RM Zinkernagel</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Scholtissek, C" uniqKey="Scholtissek C">C Scholtissek</name>
</author>
<author>
<name sortKey="Von Hoyningen, V" uniqKey="Von Hoyningen V">V von Hoyningen</name>
</author>
<author>
<name sortKey="Rott, R" uniqKey="Rott R">R Rott</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Nakajima, K" uniqKey="Nakajima K">K Nakajima</name>
</author>
<author>
<name sortKey="Desselberger, U" uniqKey="Desselberger U">U Desselberger</name>
</author>
<author>
<name sortKey="Palese, P" uniqKey="Palese P">P Palese</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Brownlee, Gg" uniqKey="Brownlee G">GG Brownlee</name>
</author>
<author>
<name sortKey="Fodor, E" uniqKey="Fodor E">E Fodor</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Yu, X" uniqKey="Yu X">X Yu</name>
</author>
<author>
<name sortKey="Tsibane, T" uniqKey="Tsibane T">T Tsibane</name>
</author>
<author>
<name sortKey="Mcgraw, Pa" uniqKey="Mcgraw P">PA McGraw</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Reichert, Ta" uniqKey="Reichert T">TA Reichert</name>
</author>
<author>
<name sortKey="Christensen, Ra" uniqKey="Christensen R">RA Christensen</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Kilbourne, Bd" uniqKey="Kilbourne B">BD Kilbourne</name>
</author>
<author>
<name sortKey="Smith, C" uniqKey="Smith C">C Smith</name>
</author>
<author>
<name sortKey="Brett, I" uniqKey="Brett I">I Brett</name>
</author>
<author>
<name sortKey="Pokory, Ba" uniqKey="Pokory B">BA Pokory</name>
</author>
<author>
<name sortKey="Johansson, B" uniqKey="Johansson B">B Johansson</name>
</author>
<author>
<name sortKey="Cox, N" uniqKey="Cox N">N Cox</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Vigerust, Dj" uniqKey="Vigerust D">DJ Vigerust</name>
</author>
<author>
<name sortKey="Ulet, Kb" uniqKey="Ulet K">KB Ulet</name>
</author>
<author>
<name sortKey="Boyd, Kl" uniqKey="Boyd K">KL Boyd</name>
</author>
<author>
<name sortKey="Madsen, J" uniqKey="Madsen J">J Madsen</name>
</author>
<author>
<name sortKey="Hawgood, S" uniqKey="Hawgood S">S Hawgood</name>
</author>
<author>
<name sortKey="Mccullers, Ja" uniqKey="Mccullers J">JA McCullers</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Reading, Pc" uniqKey="Reading P">PC Reading</name>
</author>
<author>
<name sortKey="Morey, Ls" uniqKey="Morey L">LS Morey</name>
</author>
<author>
<name sortKey="Crouch, Ec" uniqKey="Crouch E">EC Crouch</name>
</author>
<author>
<name sortKey="Anders, Em" uniqKey="Anders E">EM Anders</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Gamblin, Sj" uniqKey="Gamblin S">SJ Gamblin</name>
</author>
<author>
<name sortKey="Haire, Lf" uniqKey="Haire L">LF Haire</name>
</author>
<author>
<name sortKey="Russell, Rj" uniqKey="Russell R">RJ Russell</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Rimmelzwaan, Gf" uniqKey="Rimmelzwaan G">GF Rimmelzwaan</name>
</author>
<author>
<name sortKey="Boon, Ac" uniqKey="Boon A">AC Boon</name>
</author>
<author>
<name sortKey="Voeten, Jt" uniqKey="Voeten J">JT Voeten</name>
</author>
<author>
<name sortKey="Berkhoff, Eg" uniqKey="Berkhoff E">EG Berkhoff</name>
</author>
<author>
<name sortKey="Fouchier, Ra" uniqKey="Fouchier R">RA Fouchier</name>
</author>
<author>
<name sortKey="Osterhaus, Ad" uniqKey="Osterhaus A">AD Osterhaus</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="De Groot, A" uniqKey="De Groot A">A De Groot</name>
</author>
<author>
<name sortKey="Ardito, M" uniqKey="Ardito M">M Ardito</name>
</author>
<author>
<name sortKey="Mcclaine, E" uniqKey="Mcclaine E">E McClaine</name>
</author>
<author>
<name sortKey="Moise, L" uniqKey="Moise L">L Moise</name>
</author>
<author>
<name sortKey="Martin, B" uniqKey="Martin B">B Martin</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Greenbaum, Ja" uniqKey="Greenbaum J">JA Greenbaum</name>
</author>
<author>
<name sortKey="Kotturi, Mf" uniqKey="Kotturi M">MF Kotturi</name>
</author>
<author>
<name sortKey="Kim, Y" uniqKey="Kim Y">Y Kim</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Tumpey, Tm" uniqKey="Tumpey T">TM Tumpey</name>
</author>
<author>
<name sortKey="Garcia Sastre, A" uniqKey="Garcia Sastre A">A Garcia-Sastre</name>
</author>
<author>
<name sortKey="Taubenberger, Jk" uniqKey="Taubenberger J">JK Taubenberger</name>
</author>
<author>
<name sortKey="Palese, P" uniqKey="Palese P">P Palese</name>
</author>
<author>
<name sortKey="Swayne, De" uniqKey="Swayne D">DE Swayne</name>
</author>
<author>
<name sortKey="Basler, Cf" uniqKey="Basler C">CF Basler</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Itoh, Y" uniqKey="Itoh Y">Y Itoh</name>
</author>
<author>
<name sortKey="Shinya, K" uniqKey="Shinya K">K Shinya</name>
</author>
<author>
<name sortKey="Kiso, M" uniqKey="Kiso M">M Kiso</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Mauad, T" uniqKey="Mauad T">T Mauad</name>
</author>
<author>
<name sortKey="Hajjar, La" uniqKey="Hajjar L">LA Hajjar</name>
</author>
<author>
<name sortKey="Callegari, Gs" uniqKey="Callegari G">GS Callegari</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Simonsen, L" uniqKey="Simonsen L">L Simonsen</name>
</author>
<author>
<name sortKey="Clarke, Mj" uniqKey="Clarke M">MJ Clarke</name>
</author>
<author>
<name sortKey="Williamson, Gd" uniqKey="Williamson G">GD Williamson</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Brownstein, Js" uniqKey="Brownstein J">JS Brownstein</name>
</author>
<author>
<name sortKey="Kleinman, Kp" uniqKey="Kleinman K">KP Kleinman</name>
</author>
<author>
<name sortKey="Mandl, Kd" uniqKey="Mandl K">KD Mandl</name>
</author>
</analytic>
</biblStruct>
<biblStruct></biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Rambaut, A" uniqKey="Rambaut A">A Rambaut</name>
</author>
<author>
<name sortKey="Pybus, Og" uniqKey="Pybus O">OG Pybus</name>
</author>
<author>
<name sortKey="Nelson, Mi" uniqKey="Nelson M">MI Nelson</name>
</author>
<author>
<name sortKey="Viboud, C" uniqKey="Viboud C">C Viboud</name>
</author>
<author>
<name sortKey="Taubenberger, Jk" uniqKey="Taubenberger J">JK Taubenberger</name>
</author>
<author>
<name sortKey="Holmes, Ec" uniqKey="Holmes E">EC Holmes</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Aldridge, Jr" uniqKey="Aldridge J">JR Aldridge</name>
</author>
<author>
<name sortKey="Moseley, Ce" uniqKey="Moseley C">CE Moseley</name>
</author>
<author>
<name sortKey="Boltz, Da" uniqKey="Boltz D">DA Boltz</name>
</author>
<author>
<name sortKey="Negovetich, Nj" uniqKey="Negovetich N">NJ Negovetich</name>
</author>
<author>
<name sortKey="Reynolds, C" uniqKey="Reynolds C">C Reynolds</name>
</author>
<author>
<name sortKey="Franks, J" uniqKey="Franks J">J Franks</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Chowell, G" uniqKey="Chowell G">G Chowell</name>
</author>
<author>
<name sortKey="Bertozzi, Sm" uniqKey="Bertozzi S">SM Bertozzi</name>
</author>
<author>
<name sortKey="Colchero, Ma" uniqKey="Colchero M">MA Colchero</name>
</author>
<author>
<name sortKey="Lopez Gatell, H" uniqKey="Lopez Gatell H">H Lopez-Gatell</name>
</author>
<author>
<name sortKey="Alpuche Aranda, C" uniqKey="Alpuche Aranda C">C Alpuche-Aranda</name>
</author>
<author>
<name sortKey="Hernandez, M" uniqKey="Hernandez M">M Hernandez</name>
</author>
<author>
<name sortKey="Miller, Ma" uniqKey="Miller M">MA Miller</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Perez Padilla, R" uniqKey="Perez Padilla R">R Perez-Padilla</name>
</author>
<author>
<name sortKey="Rosa Zamboni, D" uniqKey="Rosa Zamboni D">D Rosa-Zamboni</name>
</author>
<author>
<name sortKey="Ponce De Leon, S" uniqKey="Ponce De Leon S">S Ponce de Leon</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Fedson, Ds" uniqKey="Fedson D">DS Fedson</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Zimmer, Sm" uniqKey="Zimmer S">SM Zimmer</name>
</author>
<author>
<name sortKey="Burke, Ds" uniqKey="Burke D">DS Burke</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Sonoguchi, T" uniqKey="Sonoguchi T">T Sonoguchi</name>
</author>
<author>
<name sortKey="Naito, H" uniqKey="Naito H">H Naito</name>
</author>
<author>
<name sortKey="Hara, M" uniqKey="Hara M">M Hara</name>
</author>
<author>
<name sortKey="Takeuchi, Y" uniqKey="Takeuchi Y">Y Takeuchi</name>
</author>
<author>
<name sortKey="Fukumi, H" uniqKey="Fukumi H">H Fukumi</name>
</author>
</analytic>
</biblStruct>
<biblStruct>
<analytic>
<author>
<name sortKey="Francis, T" uniqKey="Francis T">T Francis</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<affiliations>
<list>
<country>
<li>Japon</li>
<li>Pays-Bas</li>
<li>États-Unis</li>
</country>
<region>
<li>Arizona</li>
<li>Maryland</li>
<li>Massachusetts</li>
<li>Tennessee</li>
</region>
</list>
<tree>
<country name="États-Unis">
<region name="Massachusetts">
<name sortKey="Reichert, Tom" sort="Reichert, Tom" uniqKey="Reichert T" first="Tom" last="Reichert">Tom Reichert</name>
</region>
<name sortKey="Chowell, Gerardo" sort="Chowell, Gerardo" uniqKey="Chowell G" first="Gerardo" last="Chowell">Gerardo Chowell</name>
<name sortKey="Chowell, Gerardo" sort="Chowell, Gerardo" uniqKey="Chowell G" first="Gerardo" last="Chowell">Gerardo Chowell</name>
<name sortKey="Christensen, Ronald A" sort="Christensen, Ronald A" uniqKey="Christensen R" first="Ronald A" last="Christensen">Ronald A. Christensen</name>
<name sortKey="Mccullers, Jonathan A" sort="Mccullers, Jonathan A" uniqKey="Mccullers J" first="Jonathan A" last="Mccullers">Jonathan A. Mccullers</name>
</country>
<country name="Japon">
<noRegion>
<name sortKey="Nishiura, Hiroshi" sort="Nishiura, Hiroshi" uniqKey="Nishiura H" first="Hiroshi" last="Nishiura">Hiroshi Nishiura</name>
</noRegion>
</country>
<country name="Pays-Bas">
<noRegion>
<name sortKey="Nishiura, Hiroshi" sort="Nishiura, Hiroshi" uniqKey="Nishiura H" first="Hiroshi" last="Nishiura">Hiroshi Nishiura</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Sante/explor/H2N2V1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000E88 | SxmlIndent | more

Ou

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000E88 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Sante
   |area=    H2N2V1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     PMC:3003248
   |texte=   Does Glycosylation as a modifier of Original Antigenic Sin explain the case age distribution and unusual toxicity in pandemic novel H1N1 influenza?
}}

Pour générer des pages wiki

HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i   -Sk "pubmed:20059763" \
       | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd   \
       | NlmPubMed2Wicri -a H2N2V1 

Wicri

This area was generated with Dilib version V0.6.33.
Data generation: Tue Apr 14 19:59:40 2020. Site generation: Thu Mar 25 15:38:26 2021