<HashMap><database>biostudies-other</database><scores/><additional><omics_type>Unknown</omics_type><volume>84</volume><submitter>Lucian Smith</submitter><journal>Journal of virology</journal><pagination>6687-6698</pagination><species>Murinae</species><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/MODEL1405150000</full_dataset_link><repository>biostudies-other</repository><additional_accession>20410284</additional_accession><pubmed_authors>Rahuman S Malik-Sheriff</pubmed_authors><pubmed_authors>Lucian Smith</pubmed_authors><pubmed_authors>Alain Leblanc</pubmed_authors></additional><is_claimable>false</is_claimable><name>Miao2010 - Innate and adaptive immune responses to primary Influenza A Virus infection_1_1</name><description>&lt;notes xmlns="http://www.sbml.org/sbml/level2/version4">      &lt;body xmlns="http://www.w3.org/1999/xhtml">        &lt;div class="dc:title">Miao2010 - Innate and adaptive immuneresponses to primary Influenza A Virus infection&lt;/div>&lt;div class="dc:bibliographicCitation">  &lt;p>This model is described in the article:&lt;/p>  &lt;div class="bibo:title">    &lt;a href="http://identifiers.org/pubmed/20410284" title="Access to this publication">Quantifying the early immune    response and adaptive immune response kinetics in mice infected    with influenza A virus.&lt;/a>  &lt;/div>  &lt;div class="bibo:authorList">Miao H, Hollenbaugh JA, Zand MS,  Holden-Wiltse J, Mosmann TR, Perelson AS, Wu H, Topham DJ.&lt;/div>  &lt;div class="bibo:Journal">J. Virol. 2010 Jul; 84(13):  6687-6698&lt;/div>  &lt;p>Abstract:&lt;/p>  &lt;div class="bibo:abstract">    &lt;p>Seasonal and pandemic influenza A virus (IAV) continues to    be a public health threat. However, we lack a detailed and    quantitative understanding of the immune response kinetics to    IAV infection and which biological parameters most strongly    influence infection outcomes. To address these issues, we use    modeling approaches combined with experimental data to    quantitatively investigate the innate and adaptive immune    responses to primary IAV infection. Mathematical models were    developed to describe the dynamic interactions between target    (epithelial) cells, influenza virus, cytotoxic T lymphocytes    (CTLs), and virus-specific IgG and IgM. IAV and immune kinetic    parameters were estimated by fitting models to a large data set    obtained from primary H3N2 IAV infection of 340 mice. Prior to    a detectable virus-specific immune response (before day 5), the    estimated half-life of infected epithelial cells is    approximately 1.2 days, and the half-life of free infectious    IAV is approximately 4 h. During the adaptive immune response    (after day 5), the average half-life of infected epithelial    cells is approximately 0.5 days, and the average half-life of    free infectious virus is approximately 1.8 min. During the    adaptive phase, model fitting confirms that CD8(+) CTLs are    crucial for limiting infected cells, while virus-specific IgM    regulates free IAV levels. This may imply that CD4 T cells and    class-switched IgG antibodies are more relevant for generating    IAV-specific memory and preventing future infection via a more    rapid secondary immune response. Also, simulation studies were    performed to understand the relative contributions of    biological parameters to IAV clearance. This study provides a    basis to better understand and predict influenza virus    immunity.&lt;/p>  &lt;/div>&lt;/div>&lt;div class="dc:publisher">  &lt;p>This model is hosted on   &lt;a href="http://www.ebi.ac.uk/biomodels/">BioModels Database&lt;/a>  and identified by:   &lt;a href="http://identifiers.org/biomodels.db/BIOMD0000000546">BIOMD0000000546&lt;/a>.&lt;/p>  &lt;p>To cite BioModels Database, please use:   &lt;a href="http://identifiers.org/pubmed/20587024" title="Latest BioModels Database publication">BioModels Database:  An enhanced, curated and annotated resource for published  quantitative kinetic models&lt;/a>.&lt;/p>&lt;/div>&lt;div class="dc:license">  &lt;p>To the extent possible under law, all copyright and related or  neighbouring rights to this encoded model have been dedicated to  the public domain worldwide. Please refer to   &lt;a href="http://creativecommons.org/publicdomain/zero/1.0/" title="Access to: CC0 1.0 Universal (CC0 1.0), Public Domain Dedication">CC0  Public Domain Dedication&lt;/a> for more information.&lt;/p>&lt;/div>&lt;/body>    &lt;/notes></description><dates><release>2014-05-15T00:00:00Z</release><modification>2025-07-15T10:01:25.323Z</modification><creation>2025-03-29T13:32:00.987Z</creation></dates><accession>MODEL1405150000</accession><cross_references><biomodels___db>BIOMD0000000546</biomodels___db><biomodels___db>MODEL1406230000</biomodels___db><pubmed>20410284</pubmed><mamo>MAMO_0000046</mamo><go>GO:0045087</go><go>GO:0002250</go><doid>DOID:8469</doid><taxonomy>132504</taxonomy><taxonomy>39107</taxonomy><fma>FMA:66768</fma><fma>FMA:7195</fma></cross_references></HashMap>