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<title xml:lang="en">Genomic Analysis Reveals Age-Dependent Innate Immune Responses to Severe Acute Respiratory Syndrome Coronavirus
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<author>
<name sortKey="Baas, Tracey" sort="Baas, Tracey" uniqKey="Baas T" first="Tracey" last="Baas">Tracey Baas</name>
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<nlm:aff id="aff1"></nlm:aff>
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<author>
<name sortKey="Roberts, Anjeanette" sort="Roberts, Anjeanette" uniqKey="Roberts A" first="Anjeanette" last="Roberts">Anjeanette Roberts</name>
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<name sortKey="Teal, Thomas H" sort="Teal, Thomas H" uniqKey="Teal T" first="Thomas H." last="Teal">Thomas H. Teal</name>
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<name sortKey="Vogel, Leatrice" sort="Vogel, Leatrice" uniqKey="Vogel L" first="Leatrice" last="Vogel">Leatrice Vogel</name>
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<author>
<name sortKey="Chen, Jun" sort="Chen, Jun" uniqKey="Chen J" first="Jun" last="Chen">Jun Chen</name>
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<author>
<name sortKey="Tumpey, Terrence M" sort="Tumpey, Terrence M" uniqKey="Tumpey T" first="Terrence M." last="Tumpey">Terrence M. Tumpey</name>
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<author>
<name sortKey="Katze, Michael G" sort="Katze, Michael G" uniqKey="Katze M" first="Michael G." last="Katze">Michael G. Katze</name>
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<nlm:aff id="aff1"></nlm:aff>
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<author>
<name sortKey="Subbarao, Kanta" sort="Subbarao, Kanta" uniqKey="Subbarao K" first="Kanta" last="Subbarao">Kanta Subbarao</name>
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<title xml:lang="en" level="a" type="main">Genomic Analysis Reveals Age-Dependent Innate Immune Responses to Severe Acute Respiratory Syndrome Coronavirus
<xref ref-type="fn" rid="fn2"></xref>
<xref ref-type="fn" rid="fn1"></xref>
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<author>
<name sortKey="Baas, Tracey" sort="Baas, Tracey" uniqKey="Baas T" first="Tracey" last="Baas">Tracey Baas</name>
<affiliation>
<nlm:aff id="aff1"></nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Roberts, Anjeanette" sort="Roberts, Anjeanette" uniqKey="Roberts A" first="Anjeanette" last="Roberts">Anjeanette Roberts</name>
<affiliation>
<nlm:aff id="aff1"></nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Teal, Thomas H" sort="Teal, Thomas H" uniqKey="Teal T" first="Thomas H." last="Teal">Thomas H. Teal</name>
<affiliation>
<nlm:aff id="aff1"></nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Vogel, Leatrice" sort="Vogel, Leatrice" uniqKey="Vogel L" first="Leatrice" last="Vogel">Leatrice Vogel</name>
<affiliation>
<nlm:aff id="aff1"></nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Chen, Jun" sort="Chen, Jun" uniqKey="Chen J" first="Jun" last="Chen">Jun Chen</name>
<affiliation>
<nlm:aff id="aff1"></nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Tumpey, Terrence M" sort="Tumpey, Terrence M" uniqKey="Tumpey T" first="Terrence M." last="Tumpey">Terrence M. Tumpey</name>
<affiliation>
<nlm:aff id="aff1"></nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Katze, Michael G" sort="Katze, Michael G" uniqKey="Katze M" first="Michael G." last="Katze">Michael G. Katze</name>
<affiliation>
<nlm:aff id="aff1"></nlm:aff>
</affiliation>
</author>
<author>
<name sortKey="Subbarao, Kanta" sort="Subbarao, Kanta" uniqKey="Subbarao K" first="Kanta" last="Subbarao">Kanta Subbarao</name>
<affiliation>
<nlm:aff id="aff1"></nlm:aff>
</affiliation>
</author>
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<series>
<title level="j">Journal of Virology</title>
<idno type="ISSN">0022-538X</idno>
<idno type="eISSN">1098-5514</idno>
<imprint>
<date when="2008">2008</date>
</imprint>
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<div type="abstract" xml:lang="en">
<p>The relationship between immunosenescence and the host response to virus infection is poorly understood at the molecular level. Two different patterns of pulmonary host responses to virus were observed when gene expression profiles from severe acute respiratory syndrome coronavirus (SARS-CoV)-infected young mice that show minimal disease were compared to those from SARS-CoV-infected aged mice that develop pneumonitis. In young mice, genes related to cellular development, cell growth, and cell cycle were downregulated during peak viral replication, and these transcripts returned to basal levels as virus was cleared. In contrast, aged mice had a greater number of upregulated immune response and cell-to-cell signaling genes, and the expression of many genes was sustained even after viral clearance, suggesting an exacerbated host response to virus. Interestingly, in SARS-CoV-infected aged mice, a subset of genes, including Tnfa, Il6, Ccl2, Ccl3, Cxcl10, and Ifng, was induced in a biphasic pattern that correlated with peak viral replication and a subsequent influx of lymphocytes and severe histopathologic changes in the lungs. We provide insight into gene expression profiles and molecular signatures underlying immunosenescence in the context of the host response to viral infection.</p>
</div>
</front>
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<pmc article-type="research-article">
<pmc-comment>The publisher of this article does not allow downloading of the full text in XML form.</pmc-comment>
<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">J Virol</journal-id>
<journal-id journal-id-type="publisher-id">jvi</journal-id>
<journal-title>Journal of Virology</journal-title>
<issn pub-type="ppub">0022-538X</issn>
<issn pub-type="epub">1098-5514</issn>
<publisher>
<publisher-name>American Society for Microbiology (ASM)</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">18632870</article-id>
<article-id pub-id-type="pmc">2546950</article-id>
<article-id pub-id-type="publisher-id">0489-08</article-id>
<article-id pub-id-type="doi">10.1128/JVI.00489-08</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pathogenesis and Immunity</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Genomic Analysis Reveals Age-Dependent Innate Immune Responses to Severe Acute Respiratory Syndrome Coronavirus
<xref ref-type="fn" rid="fn2"></xref>
<xref ref-type="fn" rid="fn1"></xref>
</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Baas</surname>
<given-names>Tracey</given-names>
</name>
<xref ref-type="aff" rid="aff1">1</xref>
<xref ref-type="corresp" rid="cor1">*</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Roberts</surname>
<given-names>Anjeanette</given-names>
</name>
<xref ref-type="aff" rid="aff1">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Teal</surname>
<given-names>Thomas H.</given-names>
</name>
<xref ref-type="aff" rid="aff1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Vogel</surname>
<given-names>Leatrice</given-names>
</name>
<xref ref-type="aff" rid="aff1">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Jun</given-names>
</name>
<xref ref-type="aff" rid="aff1">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Tumpey</surname>
<given-names>Terrence M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">3</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Katze</surname>
<given-names>Michael G.</given-names>
</name>
<xref ref-type="aff" rid="aff1">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Subbarao</surname>
<given-names>Kanta</given-names>
</name>
<xref ref-type="aff" rid="aff1">2</xref>
</contrib>
</contrib-group>
<aff id="aff1">Department of Microbiology, University of Washington, Seattle, Washington,
<label>1</label>
Laboratory of Infectious Diseases, NIAID, NIH, Bethesda, Maryland,
<label>2</label>
Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia
<label>3</label>
</aff>
<author-notes>
<fn id="cor1">
<label>*</label>
<p>Corresponding author. Mailing address: Department of Microbiology, Box 358070, University of Washington, Seattle, WA 98195-8070. Phone: (206) 732-6119. Fax: (206) 732-6056. E-mail:
<email>traceybaas@gmail.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="ppub">
<month>10</month>
<year>2008</year>
</pub-date>
<pub-date pub-type="epub">
<day>16</day>
<month>7</month>
<year>2008</year>
</pub-date>
<volume>82</volume>
<issue>19</issue>
<fpage>9465</fpage>
<lpage>9476</lpage>
<history>
<date date-type="received">
<day>5</day>
<month>3</month>
<year>2008</year>
</date>
<date date-type="accepted">
<day>3</day>
<month>7</month>
<year>2008</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright © 2008, American Society for Microbiology</copyright-statement>
</permissions>
<self-uri xlink:title="pdf" xlink:href="zjv01908009465.pdf"></self-uri>
<abstract>
<p>The relationship between immunosenescence and the host response to virus infection is poorly understood at the molecular level. Two different patterns of pulmonary host responses to virus were observed when gene expression profiles from severe acute respiratory syndrome coronavirus (SARS-CoV)-infected young mice that show minimal disease were compared to those from SARS-CoV-infected aged mice that develop pneumonitis. In young mice, genes related to cellular development, cell growth, and cell cycle were downregulated during peak viral replication, and these transcripts returned to basal levels as virus was cleared. In contrast, aged mice had a greater number of upregulated immune response and cell-to-cell signaling genes, and the expression of many genes was sustained even after viral clearance, suggesting an exacerbated host response to virus. Interestingly, in SARS-CoV-infected aged mice, a subset of genes, including Tnfa, Il6, Ccl2, Ccl3, Cxcl10, and Ifng, was induced in a biphasic pattern that correlated with peak viral replication and a subsequent influx of lymphocytes and severe histopathologic changes in the lungs. We provide insight into gene expression profiles and molecular signatures underlying immunosenescence in the context of the host response to viral infection.</p>
</abstract>
</article-meta>
</front>
<floats-wrap>
<fig position="float" id="f1">
<label>FIG. 1.</label>
<caption>
<p>Aged mice show a delay in viral clearance and a greater number of differentially regulated host cellular genes than young mice after SARS-CoV infection. (A) Characterization of SARS-CoV infection in young and old mice as reported previously by Subbarao et al. (
<xref ref-type="bibr" rid="r35">35</xref>
) and Roberts et al. (
<xref ref-type="bibr" rid="r30">30</xref>
). Plus signs indicate the presence of a finding, and minus signs indicate the absence of a finding. na, not applicable; nd, not done. The mean virus titer is expressed as the log
<sub>10</sub>
50% tissue culture infective dose per gram of tissue. In aged mice, day 1 titers are typically 1-log lower than day 2 titers and day 7 titers are near or below the limit of detection. (B) The number of cellular genes differentially expressed in lung tissues is the result of comparing gene expression in lungs of experimentally infected mice (pooled,
<italic>n</italic>
= 4) with gene expression in lungs of mock-infected mice (pooled,
<italic>n</italic>
= 5); genes were included (
<italic>y</italic>
axis) if they met the criteria of an absolute fold change of ≥2 and
<italic>P</italic>
≤ 0.01 for young (open) and old (gray) SARS-CoV-infected mice on the indicated days (
<italic>x</italic>
axis). (C) Global gene expression profiles are the results of comparing gene expression in lungs of experimentally infected mice (pooled,
<italic>n</italic>
= 4) with gene expression in lungs of mock-infected mice (pooled,
<italic>n</italic>
= 5); genes were included if they met the criteria of an absolute fold change of ≥2 and
<italic>P</italic>
≤ 0.01 in at least one experiment. The data are presented for young (Y) and aged (A) mice on indicated days (D) 1, 2, 5, and 7 postinfection. These data were plotted as a heat map, where each matrix entry represents a gene expression value. Red corresponds to higher gene expression than that of the reference; green corresponds to lower gene expression. Dendrograms (trees) of the heat map represent the degree of relatedness between the samples, with short branches denoting a high degree of similarity and long branches denoting a low degree of similarity. Heat maps from young (541 sequences) and aged (1,735 sequences) mice were created individually because each set was compared to its age-matched mock-infected reference.</p>
</caption>
<graphic xlink:href="zjv0190810370001"></graphic>
</fig>
<fig position="float" id="f2">
<label>FIG. 2.</label>
<caption>
<p>Young SARS-CoV-infected mice showed a prominent response at early time points and throughout the course of infection. Early, intermediate, and late genes were defined in the text. Briefly, genes shown in the Venn diagram and subsequent heat map met the criteria of an absolute fold change of ≥2 and
<italic>P</italic>
≤ 0.01 in at least two time points. Early genes met the criteria on both days 1 and 2, intermediate genes met the criteria on both days 2 and 5, and late genes met the criteria on both days 5 and 7 postinfection. Therefore, this representation is a subset of the global gene expression seen in Fig.
<xref rid="f1" ref-type="fig">1C</xref>
. Gene expression profiles are the result of comparing gene expression in the lungs of experimentally infected mice (pooled,
<italic>n</italic>
= 4) with gene expression in the lungs of mock-infected mice (pooled,
<italic>n</italic>
= 5) The Venn diagram uses three circles, representing each time definition, to show the degree of overlap of gene expression. A total of 196 genes is shown in the Venn diagram of the young SARS-CoV-infected mice, with the most prominent gene responses seen at early time points (52 sequences, no overlap) and throughout the course of infection (55 sequences, overlap of early, intermediate, and late). The data for these most-prominent responses (colored gray in the Venn diagram) are next presented as a heat map for young (Y) mice on indicated days (D) 1, 2, 5, and 7 postinfection. The same genes for aged (A) mice are also included in the heat map for comparison. These genes in the heat map are primarily downregulated (trend 1) in young mice and are inversely correlated in aged mice. Predominant functional annotations, as well as the top canonical pathways, are shown in the trend 1 table. Functional annotation was generated by using Ingenuity Pathway Analysis as described in the text. The percentage was calculated by using the total number of genes in each functionality group and the total number of genes that could be functionally annotated. Heat maps of all of the areas in the Venn diagram are given in Fig. S3 in the supplemental material.</p>
</caption>
<graphic xlink:href="zjv0190810370002"></graphic>
</fig>
<fig position="float" id="f3">
<label>FIG. 3.</label>
<caption>
<p>Aged SARS-CoV-infected mice showed a prominent response at late time points and throughout the course of infection. Early, intermediate, and late genes were defined in the text. Briefly, genes shown in the Venn diagram and subsequent heat map each met the criteria of an absolute fold change of ≥2 and
<italic>P</italic>
≤ 0.01 in at least two time points. Early genes met the criteria on both days 1 and 2, intermediate genes met the criteria on both days 2 and 5, and late genes met the criteria on both days 5 and 7 postinfection. Therefore, this representation is a subset of the global gene expression present in Fig.
<xref rid="f1" ref-type="fig">1C</xref>
. Gene expression profiles are the result of comparing gene expression in RNA pooled from the lungs of four experimentally infected mice at each time point with gene expression in the lungs of mock-infected mice (pooled,
<italic>n</italic>
= 5). The Venn diagram uses three circles, representing each time definition, to show the degree of overlap of gene expression. A total of 237 genes are shown in the Venn diagram of the SARS-CoV-infected aged mice, with the most prominent gene responses seen at late time points (80 gene sequences, overlap of intermediate and late; and 71 sequences, no overlap) and throughout the course of infection (42 sequences, overlap of early, intermediate, and late). The data for these most prominent responses (colored gray in the Venn diagram) are next presented as a heat map for aged (A) mice on indicated days (D) 1, 2, 5, and 7 postinfection. The same genes for young (Y) mice are also included in the heat map for comparison. Trend 1 shows an inverse correlation between the responses of aged and young mice to SARS-CoV infection, and the predominant functional annotations and top canonical pathways are shown in the trend 1 table. Trend 2 shows a correlation between the responses of aged and young mice to SARS-CoV infection, and the predominant functional annotations and top canonical pathways are shown in the trend 2 table. Functional annotation was generated by using Ingenuity Pathway Analysis as described in the text. The percentage was calculated by using the total number of genes in each functionality group and the total number of genes that could be functionally annotated. Heat maps of all of the areas in the Venn diagram are found in Fig. S4 in the supplemental material.</p>
</caption>
<graphic xlink:href="zjv0190810370003"></graphic>
</fig>
<fig position="float" id="f4">
<label>FIG. 4.</label>
<caption>
<p>A small set of genes are affected in both aged and young mice during SARS-CoV infection The heat map shows genes that met the criteria of an absolute fold change of ≥2 and
<italic>P</italic>
≤ 0.01 criteria in both the aged 237 gene set and the young 196 gene set. Gene expression profiles are the result of comparing gene expression in RNA pooled from lungs of four experimentally infected mice at each time point with gene expression in the lungs of mock-infected mice (pooled,
<italic>n</italic>
= 5). The data are presented for young (Y) and aged (A) mice on indicated days (D) 1, 2, 5, and 7 postinfection. Genes that are predominantly related to cell cycle functions were inversely correlated between aged and young mice in trend 1. Trend 2 shows the correlation between aged and young, with the predominant function being immune response.</p>
</caption>
<graphic xlink:href="zjv0190810370004"></graphic>
</fig>
<fig position="float" id="f5">
<label>FIG. 5.</label>
<caption>
<p>Biphasic induction of mRNA in aged SARS-CoV-infected mice. (A) Protein and mRNA levels of indicated cytokines and chemokines in aged SARS-CoV-infected mice on the indicated days postinfection. The data are presented for aged (A) mice on indicated days (D) 1, 2, 5, and 7 postinfection. Gene transcripts (fold change) showed biphasic responses similar to those observed with protein levels (ng of cytokine per g of lung tissue). Although Ifng did not show a biphasic protein response, the gene showed biphasic transcript. Fold changes of transcripts are the result of comparing the gene expression in the lungs of experimentally infected mice (pooled,
<italic>n</italic>
= 4) with the gene expression in the lungs of mock-infected mice (pooled,
<italic>n</italic>
= 5). Concentration of cytokines are the results of cytokine bead assays. (B) Graph showing the fold change in genes exhibiting a biphasic response on the indicated days postinfection. Each line represents an individual gene. Using the criteria of a fold change of ≥2 at day 2, a decrease in fold change at day 5, and a fold change
<sub>day 7</sub>
/fold change
<sub>day 5</sub>
ratio of ≥2, 33 genes were defined as showing a biphasic response.</p>
</caption>
<graphic xlink:href="zjv0190810370005"></graphic>
</fig>
<fig position="float" id="f6">
<label>FIG. 6.</label>
<caption>
<p>(A) At the time of peak viral replication, aged and young mice present different “top” networks. A network is a group of biologically related genes that is derived from known relationships present in the Ingenuity Pathways Knowledge Base. These diagrams, which comprise the two top networks, represent the interactions, both direct (solid lines) and indirect (dashed lines), between genes and gene products identified during peak viral replication. Network 1 was the most prominent network detected at day 2 in young SARS-CoV-infected mice and was composed of cell cycle, cellular development, and hematological system development functions. Network 2 was the most prominent network detected at day 2 in aged SARS-CoV-infected mice and was composed of immune response, inflammatory response, and cell-to-cell signaling functions. Young mice show network 1 to be downregulated, and although aged mice show a very strong induction of network 2, young mice also induce this network. Dark red indicates a fold change of ≥5, pink indicates a fold change of ≥2, and gray indicates a fold change of <2. Dark green indicates a fold change of ≥5, light green indicates a fold change of ≥2, and gray indicates an absolute fold change of <2. Gene expression profiles are the result of comparing gene expression in the lungs of experimentally infected mice (pooled,
<italic>n</italic>
= 4) with gene expression in the lungs of mock-infected mice (pooled,
<italic>n</italic>
= 5). (B) Network interactions at day 7 postinfection when SARS-CoV is cleared from the lungs. This is the same merged network shown in Fig.
<xref rid="f6" ref-type="fig">6A</xref>
. Again, young mice showed a prominent downregulation at day 7 but also seem to show a trend of returning to levels seen in mock-infected animals. Aged SARS-CoV-infected mice show an increase of transcripts in network 1 and a continued strong induction of network 2 at day 7. Dark red indicates a fold change of ≥5, pink indicates a fold change of ≥2, and gray indicates a fold change of <2. Dark green indicates a fold change of ≥5, light green indicates a fold change of ≥ 2, and gray indicates an absolute fold change of <2. Gene expression profiles are the result of comparing gene expression in the lungs of experimentally infected mice (pooled,
<italic>n</italic>
= 4) with gene expression in the lungs of mock-infected mice (pooled,
<italic>n</italic>
= 5).</p>
</caption>
<graphic xlink:href="zjv0190810370006"></graphic>
</fig>
</floats-wrap>
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