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<?covid-19-tdm?>
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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2022.894534</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Time-Dependent Increase in Susceptibility and Severity of Secondary Bacterial Infections During SARS-CoV-2</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Smith</surname><given-names>Amanda P.</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1731370"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Williams</surname><given-names>Evan P.</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1017673"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Plunkett</surname><given-names>Taylor R.</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Selvaraj</surname><given-names>Muneeswaran</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Lane</surname><given-names>Lindey C.</given-names>
</name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zalduondo</surname><given-names>Lillian</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Xue</surname><given-names>Yi</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1720622"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Vogel</surname><given-names>Peter</given-names>
</name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1509931"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Channappanavar</surname><given-names>Rudragouda</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/1666802"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Jonsson</surname><given-names>Colleen B.</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/369969"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Smith</surname><given-names>Amber M.</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="author-notes" rid="fn001"><sup>*</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/464715"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Department of Pediatrics, University of Tennessee Health Science Center</institution>, <addr-line>Memphis, TN</addr-line>, <country>United States</country></aff>
<aff id="aff2"><sup>2</sup><institution>Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center</institution>, <addr-line>Memphis, TN</addr-line>, <country>United States</country></aff>
<aff id="aff3"><sup>3</sup><institution>Department of Acute and Tertiary Care, University of Tennessee Health Science Center</institution>, <addr-line>Memphis, TN</addr-line>, <country>United States</country></aff>
<aff id="aff4"><sup>4</sup><institution>College of Pharmacy, University of Tennessee Health Science Center</institution>, <addr-line>Memphis, TN</addr-line>, <country>United States</country></aff>
<aff id="aff5"><sup>5</sup><institution>Animal Resources Center and Veterinary Pathology Core, St. Jude Children&#x2019;s Research Hospital</institution>, <addr-line>Memphis, TN</addr-line>, <country>United States</country></aff>
<aff id="aff6"><sup>6</sup><institution>Institute for the Study of Host-Pathogen Systems, University of Tennessee Health Science Center</institution>, <addr-line>Memphis, TN</addr-line>, <country>United States</country></aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Penghua Wang, University of Connecticut Health Center, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Zhanbo Zhu, Heilongjiang Bayi Agricultural University, China; Erez Bar-Haim, Israel Institute for Biological Research (IIBR), Israel</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Amber M. Smith, <email xlink:href="mailto:amber.smith@uthsc.edu">amber.smith@uthsc.edu</email>; Colleen B. Jonsson, <email xlink:href="mailto:cjonsson@uthsc.edu">cjonsson@uthsc.edu</email></p>
</fn>
<fn fn-type="other" id="fn002">
<p>This article was submitted to Viral Immunology, a section of the journal Frontiers in Immunology</p>
</fn>
<fn fn-type="present-address" id="fn003">
<p>&#x2020;Present address: Muneeswaran Selvarajc, Department of Veterinary Pathobiology, Oklahoma State University, Stillwater, OK, United States; Rudragouda Channappanavar, Department of Veterinary Pathobiology, Oklahoma State University, Stillwater, OK, United States</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>12</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>894534</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>03</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>11</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Smith, Williams, Plunkett, Selvaraj, Lane, Zalduondo, Xue, Vogel, Channappanavar, Jonsson and Smith</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Smith, Williams, Plunkett, Selvaraj, Lane, Zalduondo, Xue, Vogel, Channappanavar, Jonsson and Smith</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Secondary bacterial infections can exacerbate SARS-CoV-2 infection, but their prevalence and impact remain poorly understood. Here, we established that a mild to moderate infection with the SARS-CoV-2 USA-WA1/2020 strain increased the risk of pneumococcal (type 2 strain D39) coinfection in a time-dependent, but sex-independent, manner in the transgenic K18-hACE2 mouse model of COVID-19. Bacterial coinfection increased lethality when the bacteria was initiated at 5 or 7 d post-virus infection (pvi) but not at 3 d pvi. Bacterial outgrowth was accompanied by neutrophilia in the groups coinfected at 7 d pvi and reductions in B cells, T cells, IL-6, IL-15, IL-18, and LIF were present in groups coinfected at 5 d pvi. However, viral burden, lung pathology, cytokines, chemokines, and immune cell activation were largely unchanged after bacterial coinfection. Examining surviving animals more than a week after infection resolution suggested that immune cell activation remained high and was exacerbated in the lungs of coinfected animals compared with SARS-CoV-2 infection alone. These data suggest that SARS-CoV-2 increases susceptibility and pathogenicity to bacterial coinfection, and further studies are needed to understand and combat disease associated with bacterial pneumonia in COVID-19 patients.</p>
</abstract>
<kwd-group>
<kwd>SARS-CoV-2</kwd>
<kwd>COVID-19</kwd>
<kwd>Streptococcus pnemoniae</kwd>
<kwd>pneumococcus</kwd>
<kwd>immune response</kwd>
<kwd>coinfection</kwd>
</kwd-group>
<contract-sponsor id="cn001">National Institute of Allergy and Infectious Diseases<named-content content-type="fundref-id">10.13039/100000060</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Health Science Center, University of Tennessee<named-content content-type="fundref-id">10.13039/100007271</named-content>
</contract-sponsor>
<counts>
<fig-count count="5"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="159"/>
<page-count count="16"/>
<word-count count="7212"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>Throughout the coronavirus disease 2019 (COVID-19) pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), there have been case reports, multi-center cohort studies, systematic reviews, and meta-analyses assessing the extent and severity of coinfections with secondary pathogens including viruses, fungi, and bacteria (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B31">31</xref>). Although coinfection rates varied across studies, some studies suggested that coinfecting respiratory bacteria were predictors of severe SARS-CoV-2-related disease and mortality (<xref ref-type="bibr" rid="B23">23</xref>&#x2013;<xref ref-type="bibr" rid="B31">31</xref>). Bacterial pathogens that were detected included <italic>Mycoplasma pneumoniae</italic>, <italic>Legionella pneumophila</italic>, <italic>Chlamydophila pneumoniae</italic>, <italic>Klebsiella pneumoniae</italic>, <italic>Pseudomonas aeruginosa</italic>, <italic>Haemophilus influenzae</italic>, <italic>Acinetobacter baumanii, Staphylococcus aureus</italic>, and <italic>Streptococcus pneumoniae</italic> (pneumococcus). Pneumococcus, which is a major cause of community-acquired pneumonia (<xref ref-type="bibr" rid="B32">32</xref>&#x2013;<xref ref-type="bibr" rid="B34">34</xref>), was detected by throat swab in 0.8% (<xref ref-type="bibr" rid="B8">8</xref>) to 7.2% (<xref ref-type="bibr" rid="B5">5</xref>) of hospitalized COVID-19 patients not requiring intensive care unit (ICU) admission or invasive respiratory support, while the frequency tended to be higher [6.5% (<xref ref-type="bibr" rid="B24">24</xref>) to 59.5% (<xref ref-type="bibr" rid="B4">4</xref>)] in patients with severe respiratory distress. Because bacterial transmission has largely been dampened by non-pharmaceutical measures (e.g., masking and physical distancing), it is important to understand whether SARS-CoV-2 infection predisposes individuals to bacterial infections and, if so, what clinical and immunological changes occur as a result of coinfection.</p>
<p>In general, viral-bacterial coinfections are not uncommon, where <italic>S. aureus</italic> and pneumococcus are widely documented as complicating pathogens during infection with other viruses, most notably influenza A virus (IAV) [Reviewed in (<xref ref-type="bibr" rid="B35">35</xref>&#x2013;<xref ref-type="bibr" rid="B46">46</xref>)]. During influenza pandemics, 45-95% of the mortality has been attributed to bacterial coinfections (<xref ref-type="bibr" rid="B47">47</xref>&#x2013;<xref ref-type="bibr" rid="B50">50</xref>). Fortunately, the impact of these complications has appeared to be lower during the SARS-CoV-2 pandemic, but these could increase as novel variants arise and as SARS-CoV-2 becomes endemic. IAV and SARS-CoV-2 both cause infections that range from asymptomatic to severe, but SARS-CoV-2 has a longer incubation period, longer and more varied duration of viral shedding and symptoms, and more pathological effects on tissues outside of the respiratory tract [Reviewed in (<xref ref-type="bibr" rid="B51">51</xref>&#x2013;<xref ref-type="bibr" rid="B54">54</xref>)]. Although viral burden does not directly correlate to disease (<xref ref-type="bibr" rid="B55">55</xref>&#x2013;<xref ref-type="bibr" rid="B61">61</xref>), both viruses can induce significant lung damage [Reviewed in (<xref ref-type="bibr" rid="B52">52</xref>&#x2013;<xref ref-type="bibr" rid="B54">54</xref>)]. Some host responses also differ in timing and magnitude, including the delayed type I interferon (IFN-&#x3b1;,&#x3b2;), increased proinflammatory cytokines like TNF-&#x3b1; and IL-6, and reduced immune regulation that have been detected in COVID-19 patients (<xref ref-type="bibr" rid="B62">62</xref>&#x2013;<xref ref-type="bibr" rid="B66">66</xref>). Further, neutrophils and macrophages, which are important for efficient bacterial clearance during viral-bacterial coinfection (<xref ref-type="bibr" rid="B67">67</xref>&#x2013;<xref ref-type="bibr" rid="B72">72</xref>), are dysregulated during COVID-19 (<xref ref-type="bibr" rid="B73">73</xref>&#x2013;<xref ref-type="bibr" rid="B75">75</xref>). Thus, the potential for bacterial invasion during SARS-CoV-2 infection may also differ from that observed in influenza infection with respect to timing and host-pathogen mechanisms.</p>
<p>While the investigation of viral and immune dynamics in the lower respiratory tract is difficult to assess in humans, they have been clarified in animal models. One study using SARS-CoV-1 suggested that bacteria can enhance pathogenicity of coronaviruses (<xref ref-type="bibr" rid="B76">76</xref>), and numerous studies of influenza-bacterial coinfection indicate that susceptibility and pathogenicity of bacterial coinfections are time-dependent with the greatest mortality observed when bacteria is initiated at 7 d pvi (<xref ref-type="bibr" rid="B77">77</xref>). The progressive increase in susceptibility to bacterial coinfection during influenza is largely due to the depletion and/or dysfunction of resident alveolar macrophages (AM&#x3a6;) during IAV infection, which is dynamic throughout the infection (<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B67">67</xref>) and maximal at 7 d pvi (<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B67">67</xref>&#x2013;<xref ref-type="bibr" rid="B69">69</xref>). Following bacterial establishment, dysfunction of neutrophils (<xref ref-type="bibr" rid="B78">78</xref>&#x2013;<xref ref-type="bibr" rid="B81">81</xref>), which may be in part facilitated by bacterial metabolic interactions (<xref ref-type="bibr" rid="B82">82</xref>) and type I IFNs (<xref ref-type="bibr" rid="B71">71</xref>, <xref ref-type="bibr" rid="B82">82</xref>, <xref ref-type="bibr" rid="B83">83</xref>), and additional depletion of AM&#x3a6; (<xref ref-type="bibr" rid="B55">55</xref>) contribute to bacterial growth and coinfection pathogenesis [Reviewed in (<xref ref-type="bibr" rid="B39">39</xref>&#x2013;<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B84">84</xref>, <xref ref-type="bibr" rid="B85">85</xref>)]. Currently, the effect of SARS-CoV-2 infection on AM&#x3a6;s remains somewhat unclear, although human, murine, and <italic>in vitro</italic> data indicate that AM&#x3a6;s become productively infected with SARS-CoV-2, leading to altered cytokine production and responsiveness (<xref ref-type="bibr" rid="B86">86</xref>&#x2013;<xref ref-type="bibr" rid="B89">89</xref>). In addition, SARS-CoV-2 seems particularly adept at delaying and avoiding innate immune responses, resulting in delayed or decreased T cell responses, accumulation of neutrophils and inflammatory monocytes, and enhanced lung pathology [Reviewed in (<xref ref-type="bibr" rid="B90">90</xref>&#x2013;<xref ref-type="bibr" rid="B93">93</xref>)]. IAV also has mechanisms of immune evasion [Reviewed in (<xref ref-type="bibr" rid="B94">94</xref>, <xref ref-type="bibr" rid="B95">95</xref>)] but induces a robust CD8<sup>+</sup> T cell response in the lungs that efficiently clears virus. During IAV-pneumococcal coinfection, CD8<sup>+</sup> T cells are depleted (<xref ref-type="bibr" rid="B96">96</xref>), and viral loads rebound (<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B68">68</xref>, <xref ref-type="bibr" rid="B82">82</xref>). Mechanisms for both of these are being investigated, but direct viral-bacterial interactions (<xref ref-type="bibr" rid="B97">97</xref>) that allow the virus to enter new areas of the lung in addition to a bacterial-mediated increase in virus production (<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B68">68</xref>, <xref ref-type="bibr" rid="B98">98</xref>) contribute to the increased viral loads. However, these effects are overshadowed by the robust bacterial growth and bacterial-mediated effects on host responses. Given these potential mechanisms and the reported myeloid dysfunction (<xref ref-type="bibr" rid="B73">73</xref>&#x2013;<xref ref-type="bibr" rid="B75">75</xref>), delayed IFN responses (<xref ref-type="bibr" rid="B62">62</xref>&#x2013;<xref ref-type="bibr" rid="B66">66</xref>), and CD8<sup>+</sup> T cell depletion (<xref ref-type="bibr" rid="B99">99</xref>&#x2013;<xref ref-type="bibr" rid="B103">103</xref>) during SARS-CoV-2, a better understanding of the potential for bacterial invasion and the effects of coinfection on immune cell, viral, and pathological dynamics is needed and the focus of this study. To assess bacterial susceptibility during COVID-19 and determine whether a synergism exists between SARS-CoV-2 and pneumococcus, we infected K18-hACE2 mice with a low dose of SARS-CoV-2 to initiate a mild-moderate infection and coinfected the animals 3, 5, or 7 days later with pneumococcus. Bacteria were unable to establish at 3 d post-virus infection (pvi), but coinfections at 5 or 7 d pvi resulted in increased lethality in a sex-independent manner. Although viral dynamics and lung pathology were unchanged within the first 24 h of coinfection, select immune cells and proinflammatory cytokines were decreased in the lungs of animals coinfected at 5 d pvi but not at 7 d pvi. These findings support the increased susceptibility of SARS-CoV-2-infected individuals to bacteria and highlight numerous distinct features from other viral-bacterial coinfections.</p>
</sec>
<sec id="s2" sec-type="results">
<title>Results</title>
<sec id="s2_1">
<title>Time-Dependent Increases in Lethality During SARS-CoV-2-Pneumococcal Coinfection</title>
<p>To examine the susceptibility and pathogenicity of pneumococcus coinfection during SARS-CoV-2 infection, K18-hACE2 mice (male and female, 10 to 13 weeks old) were infected with 250 PFU of SARS-CoV-2 or PBS followed by 10<sup>3</sup> CFU of pneumococcal strain D39 (coinfected) or PBS (mock coinfected) at either 3, 5, or 7 d pvi. During mock coinfection, the selected viral dose was lethal in 35% of mice (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1A</bold></xref>) and caused weight loss from 5 to 11 d pvi with maximum weight loss (average 7%) at 8 d pvi (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1B</bold></xref>) and clinical scores peaking at 6 d pvi (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1C</bold></xref>). In the absence of viral infection, the selected bacterial dose was lethal in 1/6 mice (17% lethality) at 4 d post bacterial infection (pbi) (<xref ref-type="supplementary-material" rid="SM1"><bold>Figure S1A</bold></xref>) and caused only mild, transient weight loss (~3%) (<xref ref-type="supplementary-material" rid="SM1"><bold>Figure S1B</bold></xref>) and increased temperatures (<xref ref-type="supplementary-material" rid="SM1"><bold>Figure S1C</bold></xref>) after 1 to 2 d pbi.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>SARS-CoV-2-pneumococcal coinfection in K18-hACE2 mice. Kaplan-Meier survival curves <bold>(A)</bold>, percent weight loss <bold>(B)</bold>, cumulative clinical score <bold>(C)</bold>, and temperature <bold>(D)</bold> of mice infected with SARS-CoV-2 (250 PFU; white circles, solid lines) followed by 10<sup>3</sup> CFU D39 at 3 d (yellow diamonds, dotted lines), 5 d (magenta squares, dashed lines), or 7 d (cyan triangles, dash-dotted lines) pvi. Data are shown as the mean &#xb1; standard deviation (SD) and significant differences are indicated by *,<italic>P</italic> &lt; 0.05; **,<italic>P</italic> &lt; 0.01 for comparisons between SARS-CoV-2 infection and SARS-CoV-2-pneumococcal coinfection.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-13-894534-g001.tif"/>
</fig>
<p>When the bacterial coinfection was initiated at 3 d pvi, lethality was not enhanced (<italic>P</italic> = 0.73) (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1A</bold></xref>). Interestingly, weight loss in coinfected animals was reduced at 1 d (<italic>P</italic> = 0.03) and 2 d (<italic>P</italic> = 0.04) pbi (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1B</bold></xref>) and the cumulative clinical score was lower at 2 d pbi (<italic>P</italic> = 0.03) (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1C</bold></xref>) compared with mock coinfected controls. In addition, the temperature of coinfected animals was higher at 2 d (<italic>P</italic> = 0.003) and 3 d (<italic>P</italic> = 0.01) pbi and lower at 5 d (<italic>P</italic> = 0.02) and 8 d (<italic>P</italic> = 0.045) pbi (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1D</bold></xref>). A coinfection initiated at 5 d pvi was slightly more lethal than the SARS-CoV-2 infection alone, where additional mortality was observed at 5 to 6 d pbi, but this was not statistically significant (<italic>P</italic> = 0.14) (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1A</bold></xref>). The average weight loss was reduced (<italic>P</italic> = 0.01) and temperature was increased (<italic>P</italic> = 0.001) at 1 d pbi in the coinfected animals (<xref ref-type="fig" rid="f1"><bold>Figures&#xa0;1B, D</bold></xref>). Coinfected animals lost more weight than animals infected with SARS-CoV-2 alone at 5 d pbi (<italic>P</italic> = 0.03) (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1B</bold></xref>), but no significant difference in their clinical scores was detected (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1C</bold></xref>). Comparatively, a coinfection at 7 d pvi was significantly more severe than SARS-CoV-2 infection alone (<italic>P</italic> = 0.03) and resulted in additional lethality at earlier times than the coinfection at 5 d pvi, with additional animals succumbing to the infection within 1, 3, or 4 d pbi (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1A</bold></xref>). Significantly more weight loss at 3 d (<italic>P</italic> &lt; 0.001) and 4 d (<italic>P</italic> = 0.002) pbi (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1B</bold></xref>) and higher clinical scores at 3 d pbi (<italic>P</italic> = 0.01) (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1C</bold></xref>) occurred without altering temperature (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1D</bold></xref>).</p>
</sec>
<sec id="s2_2">
<title>SARS-CoV-2 Coinfection Increased Bacterial Loads but Not Viral Loads</title>
<p>To evaluate whether SARS-CoV-2-bacterial coinfection alters pathogen burden, we measured viral loads in the lung and bacterial loads in the lung and blood of infected animals. In mice infected with bacteria alone or with SARS-CoV-2 followed by bacteria at 3 d pvi, no bacteria were recovered from the lungs of 7/8 mice at 24 h pbi (<xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2A</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>S1D</bold></xref>). However, when the bacteria was introduced at 5 d pvi, bacterial loads in the lung remained at a level similar to the inoculum in 7/8 mice and was cleared in 1/8 mice (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2A</bold></xref>). Bacteria were not detected in the blood of mice infected with bacteria alone (data not shown) or SARS-CoV-2-bacteria coinfected at 3 or 5 d pvi (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2B</bold></xref>). However, in mice coinfected at 7 d pvi, significant bacterial growth occurred in the lungs of all animals (<italic>P</italic> = 0.02; Mann-Whitney test) and the blood of some animals (3/7) with titers reaching 4.4 to 7.9 log<sub>10</sub> CFU/lung (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2A</bold></xref>) and 4.1 to 6.6 log<sub>10</sub> CFU/mL (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2B</bold></xref>), respectively, within 24 h pbi.</p>
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<label>Figure&#xa0;2</label>
<caption>
<p>Dynamics of pathogen loads during SARS-CoV-2 infection and pneumococcal coinfection. Lung bacterial loads (CFU/lung) <bold>(A)</bold>, blood bacterial loads <bold>(B)</bold>, and lung viral loads (PFU/lung) <bold>(C)</bold> in female (circles) and male (triangles) mice infected with SARS-CoV-2 (250 PFU; white) followed 10<sup>3</sup> CFU D39 at 3 d (yellow), 5 d (magenta), or 7 d (cyan) pvi. Each symbol represents a single mouse and the mean &#xb1; standard deviation (SD) are for combined male and female groups. Significant differences are indicated by ns, not significant; *<italic>P</italic> &lt; 0.05; ****<italic>P</italic> &lt; 0.0001. For bacterial titers, comparison was with the inoculum (dotted line). <bold>(D, E)</bold> Representative immunohistochemical (IHC) staining for SARS-CoV-2 nucleocapsid protein in whole lung sections following (24 h pbi) infection with SARS-CoV-2 (250 PFU) then PBS or 10<sup>3</sup> CFU D39 at 3 d <bold>(D)</bold> or 5 d <bold>(E)</bold> pvi. <bold>(F)</bold> Representative lung sections stained with H&amp;E, SARS-CoV-2 nucleocapsid protein, or pneumococcus from infection with SARS-CoV-2 (250 PFU) followed by 10<sup>3</sup> CFU D39 at 5 d pvi. Lesions with perivascular inflammatory cell infiltration are indicated by arrows; blood vessel (BV). Scale bar = 100 &#xb5;m.</p>
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<p>Pulmonary viral loads were unchanged by bacterial coinfection whether coinfection was initiated at 3 d (<italic>P</italic> = 0.12) or 5 d (<italic>P</italic> = 0.18) pvi (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2C</bold></xref>) and the amount and distribution of viral antigen in the lung tissue were also unchanged (<xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2D, E</bold></xref>). Although some areas of the lung contained colocalized virus and bacteria, both intracellular and extracellular bacterial antigen were detected in areas containing no viral antigen (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2F</bold></xref>). The virus had cleared by 8 d pvi in the groups that were mock coinfected or bacterial coinfected at 7 d pvi (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2C</bold></xref>). No significant differences were found in viral or bacterial loads between males and females.</p>
</sec>
<sec id="s2_3">
<title>Select Changes in Pulmonary Immune Responses After SARS-CoV-2-Pneumococcal Coinfection</title>
<p>To investigate whether bacterial coinfection altered immune response dynamics, several immune cells, cytokines, and chemokines were quantified in the lung 24 h after mock coinfection or bacterial coinfection in SARS-CoV-2 infected mice (<xref ref-type="fig" rid="f3"><bold>Figures&#xa0;3</bold></xref>, <xref ref-type="fig" rid="f4"><bold>4</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>S3, S6</bold></xref>). In animals infected with SARS-CoV-2 only, natural killer (NK) T cells (<xref ref-type="supplementary-material" rid="SM1"><bold>Figure S3D</bold></xref>) and total CD19<sup>+</sup> B cells (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3E</bold></xref>) were reduced at 4 d pvi compared with na&#xef;ve (<italic>P</italic> = 0.007 and <italic>P</italic> = 0.018, respectively). The absolute numbers of other cells were unchanged at this time point (<xref ref-type="fig" rid="f3"><bold>Figures&#xa0;3</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>S3</bold></xref>); however, increases in the proportion of activated (CD69<sup>+</sup>) immune cells were evident (<xref ref-type="supplementary-material" rid="SM1"><bold>Figure S4</bold></xref>). SARS-CoV-2 infection also resulted in many cytokines and chemokines above baseline levels (all <italic>P</italic> &lt; 0.05) throughout the infection, including IFN-&#x3b3;, IL-1&#x3b2;, IL-4, IL-28, CXCL10, GM-CSF, LIF, CCL2, CCL7, MIP-1&#x3b1;, MIP-1&#x3b2;, RANTES, IFN-&#x3b1;, and IFN-&#x3b2;. IL-5, IL-6, IL-15, IL-18, M-CSF, and TNF-&#x3b1; were elevated at both 4 d and 6 d pvi while CXCL5, CXCL1, G-CSF, IL-3, IL-13, and IL-17A were increased only at 6 d pvi. MIP-2&#x3b1;, IL-2, and IL-22 were elevated at 6 d and 10 d pvi, and increased IL-10 and IL-23 were detected only at 8 d pvi (absolute values of cytokines are in <xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>S5</bold></xref>; log<sub>2</sub> changes over na&#xef;ve in <xref ref-type="supplementary-material" rid="SM1"><bold>Figure S6</bold></xref>).</p>
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<label>Figure&#xa0;3</label>
<caption>
<p>Immune cell dynamics during SARS-CoV-2 infection and pneumococcal coinfection. Total neutrophils <bold>(A)</bold>, F4/80<sup>mid</sup>CD11c<sup>mid</sup>CD11b<sup>+</sup> monocytes/macrophages <bold>(B)</bold>, inflammatory macrophages (iM&#x3a6;) (F4/80<sup>hi</sup>CD11c<sup>hi</sup>CD11b<sup>+</sup>) <bold>(C)</bold>, alveolar macrophages (AM&#x3a6;) (F4/80<sup>hi</sup>CD11c<sup>hi</sup>CD11b<sup>-</sup>MHC-II<sup>low/-</sup>) <bold>(D)</bold>, CD19<sup>+</sup> B cells <bold>(E)</bold>, CD4<sup>+</sup> T cells <bold>(F)</bold>, and CD8<sup>+</sup> T cells <bold>(G)</bold> in the lungs of female (circles) and male (triangles) mice infected with SARS-CoV-2 (250 PFU; open symbols) followed by 10<sup>3</sup> CFU D39 at 3 d (yellow), 5 d (magenta), or 7 d (cyan) pvi. Each symbol represents a single mouse and the mean &#xb1; standard deviation (SD) are for combined male and female groups. Significant differences are indicated by *,<italic>P</italic> &lt; 0.05; **,<italic>P</italic> &lt; 0.01; ***,<italic>P</italic> &lt; 0.001 for comparisons between indicated groups and by <sup>&#x2020;</sup>,<italic>P</italic> &lt; 0.05 for differences between males and females within a group or between coinfection times within 17 d group.</p>
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<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Pulmonary cytokines and chemokines during SARS-CoV-2 infection and SARS-CoV-2-pneumococcal coinfection. Total IL-6 <bold>(A)</bold>, IL-18 <bold>(B)</bold>, LIF <bold>(C)</bold>, IL-15 <bold>(D)</bold>, CXCL10 <bold>(E)</bold>, RANTES <bold>(F)</bold>, IL-3 <bold>(G)</bold>, IL-22 <bold>(H)</bold>, IL-28 <bold>(I)</bold>, and MIP-2&#x3b1; <bold>(J)</bold> in the lungs of female (circles) and male (triangle) mice infected with SARS-CoV-2 (250 PFU; white) followed by infection with 10<sup>3</sup> CFU D39 at 3 d (yellow), 5 d (magenta), or 7 d (cyan) pvi. Each symbol represents a single mouse and the mean &#xb1; standard deviation (SD) are for combined male and female groups. Significant differences are indicated by *,<italic>P</italic> &lt; 0.05; **,<italic>P</italic> &lt; 0.01; ***,<italic>P</italic> &lt; 0.001 for comparisons between indicated groups. Plots depicting additional cytokine and chemokine quantities (absolute log<sub>10</sub> picograms) are in <xref ref-type="supplementary-material" rid="SM1"><bold>Figure S5</bold></xref> and a heatmap representing the normalized quantity (average log<sub>2</sub> change over na&#xef;ve) is in <xref ref-type="supplementary-material" rid="SM1"><bold>Figures S6</bold></xref>.</p>
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<p>As expected, a significant influx of CD45<sup>+</sup> immune cells was evident at 6 and 8 d pvi in animals infected with SARS-CoV-2 only (both <italic>P</italic> &lt; 0.001) (<xref ref-type="supplementary-material" rid="SM1"><bold>Figure S3A</bold></xref>), including neutrophils (Ly6G<sup>hi</sup>; both <italic>P</italic> &lt; 0.01; <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3A</bold></xref>), the F4/80<sup>mid</sup>CD11c<sup>mid</sup>CD11b<sup>+</sup> monocyte/macrophage subset (both <italic>P</italic> &lt; 0.001; <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3B</bold></xref>), inflammatory macrophages (F4/80<sup>hi</sup>CD11c<sup>hi</sup>CD11b<sup>+</sup>, iM&#x3a6;; <italic>P</italic> = 0.02 and <italic>P</italic> &lt; 0.001, respectively; <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3C</bold></xref>), F4/80<sup>mid</sup>CD11c<sup>-</sup> cells (both <italic>P</italic> &lt; 0.001; <xref ref-type="supplementary-material" rid="SM1"><bold>Figure S3B</bold></xref>), NK cells (both <italic>P</italic> &lt; 0.001; <xref ref-type="supplementary-material" rid="SM1"><bold>Figure S3C</bold></xref>), CD4<sup>+</sup> T cells (<italic>P</italic> = 0.02 and <italic>P</italic> &lt; 0.001, respectively; <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3F</bold></xref>), and CD8<sup>+</sup> T cells (both <italic>P</italic> &lt; 0.001; <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3G</bold></xref>). Unlike the pathogen loads, some of the immune cells were different between males and female that were mock coinfected at 5 d pvi, including neutrophils (<italic>P</italic> = 0.047), resident alveolar macrophages (F4/80<sup>hi</sup>CD11c<sup>hi</sup>CD11b<sup>-</sup>MHC-II<sup>low/-</sup>, AM&#x3a6;; <italic>P</italic> = 0.047), CD4<sup>+</sup> T cells (<italic>P</italic> = 0.02), NK cells (<italic>P</italic> = 0.03), and NK T cells (<italic>P</italic> = 0.02), which were higher in females than males.</p>
<p>In the groups coinfected with bacteria at 3 d pvi, no changes were observed in the absolute number (<xref ref-type="fig" rid="f3"><bold>Figures&#xa0;3</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>S3</bold></xref>) or activation (<xref ref-type="supplementary-material" rid="SM1"><bold>Figure S4</bold></xref>) of any quantified immune cell subset or the amount of cytokines and cytokines (<xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>S5</bold></xref>) within 24 h pbi compared with mock <bold>c</bold>oinfection. A bacterial coinfection at 5 d pvi resulted in fewer total CD45+ cells (<italic>P</italic> = 0.03; <xref ref-type="supplementary-material" rid="SM1"><bold>Figure S3A</bold></xref>), including neutrophils (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3A</bold></xref>), CD19<sup>+</sup> B cells (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3E</bold></xref>), CD8<sup>+</sup> T cells (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3G</bold></xref>), and F4/80<sup>mid</sup>CD11c<sup>-</sup> cells (<xref ref-type="supplementary-material" rid="SM1"><bold>Figure S3B</bold></xref>) (all <italic>P</italic> &lt; 0.05) compared with the mock coinfected groups. In addition, iM&#x3a6; (<italic>P</italic> = 0.01) and AM&#x3a6; (<italic>P</italic> = 0.047) were again higher in females than males following coinfection at 5 d pvi (<xref ref-type="fig" rid="f3"><bold>Figures&#xa0;3C, D</bold></xref>). The extent of activation was not different between the mock coinfection and bacterial coinfection at 5 d pvi (<xref ref-type="supplementary-material" rid="SM1"><bold>Figure S4</bold></xref>), but reduced IL-6, IL-18, LIF (all <italic>P</italic> = 0.04), and IL-15 (<italic>P</italic> = 0.02) was observed at 24 h pbi (<xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4A-D</bold></xref>).</p>
<p>Coinfection at 7 d pvi induced a significant increase in neutrophils at 24 h pbi (<italic>P</italic> &lt; 0.001) (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3A</bold></xref>) without altering the number or activation of any other immune cell quantified (<xref ref-type="fig" rid="f3"><bold>Figures&#xa0;3</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>S3, S4</bold></xref>). AM&#x3a6; were reduced in the mock coinfected group compared with na&#xef;ve animals (<italic>P</italic> = 0.001) but were not different between the mock coinfection and bacterial coinfection (<italic>P</italic> = 0.29) (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3D</bold></xref>). Absolute cell numbers and activation did not differ between male and female mice following coinfection at 7 d pvi (<xref ref-type="fig" rid="f3"><bold>Figures&#xa0;3</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>S3, S4</bold></xref>). Perhaps unexpectedly, none of the measured cytokines were significantly different between animals that were mock coinfected and animals that were bacterial coinfected at 7 d pvi (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref> and <xref ref-type="supplementary-material" rid="SM1"><bold>Figure S5</bold></xref>).</p>
</sec>
<sec id="s2_4">
<title>Pneumococcal Coinfection Resulted in Sustained Increases in Pulmonary Immune Responses After Recovery</title>
<p>To investigate whether bacterial coinfection altered immune cell dynamics and activation in recovered animals, pulmonary immune cells, cytokines, and chemokines were quantified at 17 d pvi following mock coinfection or bacterial coinfection at 3, 5, or 7 d pvi. The number of iM&#x3a6; (<italic>P</italic> = 0.01) (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3C</bold></xref>) and CD8<sup>+</sup> T cells (<italic>P</italic> = 0.02) (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3G</bold></xref>), as well as the activated proportion of iM&#x3a6; (<italic>P</italic> = 0.004), CD8<sup>+</sup> T cells (<italic>P</italic> = 0.001), CD4<sup>+</sup> T cells <italic>P</italic>  0.001), and CD19+ B cells (<italic>P</italic> = 0.005) (<xref ref-type="supplementary-material" rid="SM1"><bold>Figure S4</bold></xref>), remained increased above na&#xef;ve levels in the lungs of animals that recovered from SARS-CoV-2 infection alone. These changes were accompanied by elevated IFN-&#x3b3;, CXCL10, and RANTES (<italic>P</italic> = 0.01, <italic>P</italic> = 0.03, and <italic>P</italic> = 0.04, respectively) at 17 d pvi compared to na&#xef;ve (<xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>S5, S6</bold></xref>). However, many measured cytokines and chemokines were below naive levels at 17 d pvi in the lungs of animals infected with SARS-CoV-2 only, including eotaxin, IL-2, IL-3, IL-17A, IL-22, IL-27, IL-28, M-CSF, and MIP-2&#x3b1; (all <italic>P</italic> &lt; 0.05) (<xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>S5, S6</bold></xref>).</p>
<p>A sustained increase in immune cell accumulation and activation was evident in animals that recovered from SARS-CoV-2-pneumococcal coinfection. At 17 d pvi, an increased absolute number and activated proportion of F4/80<sup>mid</sup>CD11c<sup>mid</sup>CD11b<sup>+</sup> monocytes/macrophages (<italic>P</italic> = 0.01; <xref ref-type="fig" rid="f3"><bold>Figures&#xa0;3B</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>4B</bold></xref>), iM&#x3a6; (<italic>P</italic> = 0.01; <xref ref-type="fig" rid="f3"><bold>Figures&#xa0;3C</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>S4C</bold></xref>), and CD4<sup>+</sup> and CD8<sup>+</sup> T cells (<italic>P</italic> = 0.03 and 0.02, respectively; <xref ref-type="fig" rid="f3"><bold>Figures&#xa0;3F, G</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>S4F, G</bold></xref>) were present in coinfected mice compared with mock coinfected mice. Comparison between the coinfected groups indicated that more CD8<sup>+</sup> T cells were present at 17 d pvi in mice that were coinfected at 3 d or 7 d pvi than those coinfected at 5 d pvi (both <italic>P</italic> = 0.02; <xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3G</bold></xref>). In addition, animals that recovered from a coinfection at 7 d pvi had more activated neutrophils or iM&#x3a6; than those who recovered from a coinfection at 3 d pvi (<italic>P</italic> = 0.04) or 5 d pvi (<italic>P</italic> = 0.03), respectively (<xref ref-type="supplementary-material" rid="SM1"><bold>Figures S4A, C</bold></xref>). These changes were accompanied by higher levels of CXCL-10 (<italic>P</italic> &lt; 0.001), MIP-2&#x3b1; (<italic>P</italic> = 0.04), IL-3 (<italic>P</italic> = 0.001), IL-22 (<italic>P</italic> &lt; 0.008), IL-28 (<italic>P</italic> = 0.01), and RANTES (<italic>P</italic> &lt; 0.001) in the lungs of mice that had recovered from a bacterial coinfection compared with those recovered from SARS-CoV-2 alone (17 d pvi; <xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4E&#x2013;J</bold></xref>). In addition, select cytokines and chemokines were reduced in animals that recovered from bacterial coinfection compared with those that were mock coinfected, including CXCL-1 (<italic>P</italic> = 0.01), IL-1&#x3b1; (<italic>P</italic> = 0.04), IL-6 (<italic>P</italic> = 0.03), IL-9 (<italic>P</italic> = 0.03), IL-10 (<italic>P</italic> &lt; 0.001), IL-13 (<italic>P</italic> &lt; 0.001), IL-15 (<italic>P</italic> = 0.001), IL-18 (<italic>P</italic> &lt; 0.001), G-CSF (<italic>P</italic> = 0.03), and TNF-&#x3b1; (<italic>P</italic> =0.02) (17 d pvi; <xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>S5</bold></xref>). These cytokines, except for IL-1&#x3b1; (<italic>P</italic> = 0.19) and IL-18 (<italic>P</italic> = 0.09), were also below baseline levels (all <italic>P</italic> &lt; 0.05). In addition, IL-2 (<italic>P</italic> = 0.02), IL-5 (<italic>P</italic> = 0.02), IL-17A (<italic>P</italic> = 0.04), and eotaxin (<italic>P</italic> = 0.01) were below baseline in both the bacterial coinfected and mock coinfected groups (<xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>S5</bold></xref>).</p>
</sec>
<sec id="s2_5">
<title>Bacterial Coinfection Did Not Enhance Lung Pathology</title>
<p>To examine whether lung pathology was enhanced during SARS-CoV-2-pneumococcal coinfection, we assessed seven pathological features (endothelial hypertrophy/margination, peribronchiolar/perivascular lymphoid cells, interstitial inflammation/septal thickening, alveolar inflammation, alveolar edema/hemorrhage, the extent of alveolar involvement, and consolidation (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>). There were no significant differences in any of these measurements between mock coinfected animals and those coinfected with bacteria at 3 or 5 d pvi at either 24 h pbi or 17 d pvi.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Lung pathology during SARS-CoV-2 infection and pneumococcal coinfection. Average endothelial hypertrophy <bold>(A)</bold>, peribronchiolar/perivascular lymphoid cells <bold>(B)</bold>, interstitial inflammation/septal thickening <bold>(C)</bold>, alveolar inflammation <bold>(D)</bold>, extent of alveolar involvement <bold>(E)</bold>, and consolidation <bold>(F)</bold> in lungs of mice infected with SARS-CoV-2 (250 PFU; open bars) followed by 10<sup>3</sup> CFU D39 at 3 or 5 d pvi (filled bars). Plots represent the mean &#xb1; standard deviation (SD) bars for combined male and female groups.</p>
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<sec id="s3" sec-type="discussion">
<title>Discussion</title>
<p>Currently, clinical data suggests variable, but moderate, frequency of bacterial coinfections in hospitalized COVID-19 patients (<xref ref-type="bibr" rid="B1">1</xref>&#x2013;<xref ref-type="bibr" rid="B29">29</xref>). The wide range of reported rates is, at least in part, due to heterogeneous study designs, variability in the disease severity, age, and/or comorbidities of each cohort, the collection and detection methods used, and the panel of pathogens screened. Further, the reduced transmission of many pathogens (<xref ref-type="bibr" rid="B104">104</xref>&#x2013;<xref ref-type="bibr" rid="B108">108</xref>) might have kept the rates of SARS-CoV-2-related bacterial pneumonia at an artificially low level during the COVID-19 pandemic. The results from this study suggest that we might expect more complications from bacterial pathogens going forward even in mild SARS-CoV-2 scenarios, which are becoming more common due to vaccine availability (<xref ref-type="bibr" rid="B109">109</xref>&#x2013;<xref ref-type="bibr" rid="B111">111</xref>).</p>
<p>Here, we used the K18-hACE2 mouse model to establish that SARS-CoV-2 infection increases the risk of bacterial coinfection in a time-dependent manner with increased disease severity, pulmonary bacterial burden, bacteremia, and neutrophilia. This time dependency is similar to that of influenza-bacterial coinfections, but the lethality during the SARS-CoV-2-pneumococcal coinfection (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1</bold></xref>) was delayed comparatively (<xref ref-type="bibr" rid="B77">77</xref>) and some animals survived. In contrast, influenza-pneumococcal coinfections at similar doses consistently result in 100% lethality within 1-3 d pbi (<xref ref-type="bibr" rid="B77">77</xref>). Although further studies are needed to assess the potential for more severe coinfections at later time points, this may indicate a larger window for administration of antibacterial therapies in coinfected patients.</p>
<p>Mechanisms that contribute to increased risk and severity of bacterial coinfection during acute pulmonary diseases are complex and varied [Reviewed in (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B39">39</xref>&#x2013;<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B84">84</xref>, <xref ref-type="bibr" rid="B85">85</xref>, <xref ref-type="bibr" rid="B112">112</xref>)]. While the mechanisms for SARS-CoV-2-bacterial coinfections remain unknown, the similar time-dependent susceptibility during influenza may yield insight. We and others have shown that viral-induced changes to the number (<xref ref-type="bibr" rid="B67">67</xref>, <xref ref-type="bibr" rid="B69">69</xref>, <xref ref-type="bibr" rid="B70">70</xref>) or functionality (<xref ref-type="bibr" rid="B70">70</xref>, <xref ref-type="bibr" rid="B72">72</xref>, <xref ref-type="bibr" rid="B113">113</xref>&#x2013;<xref ref-type="bibr" rid="B115">115</xref>) of AM&#x3a6;s, which may be mediated by IFN-&#x3b3; (<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B115">115</xref>, <xref ref-type="bibr" rid="B116">116</xref>), render these cells less capable of clearing bacteria. Here, SARS-CoV-2-pneumococcal coinfection did coincide with a virally induced reduction in AM&#x3a6; (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>), which may suggest a contribution of these cells to the acquisition of bacteria during COVID-19 particularly when paired with evidence of a dysfunctional myeloid response in patients with severe infections (<xref ref-type="bibr" rid="B75">75</xref>). Further studies to determine how a productive SARS-CoV-2 infection of AM&#x3a6; alters infection dynamics, their production of IFN, and their phagocytic capacity (<xref ref-type="bibr" rid="B86">86</xref>&#x2013;<xref ref-type="bibr" rid="B89">89</xref>) are needed. In addition, IFN-independent mechanisms of macrophage dysfunction should also be investigated because some studies suggest that RSV coinfection severity is mediated by Gas6/Axl polarization of AM&#x3a6; to non-antibacterial (M2) type cells (<xref ref-type="bibr" rid="B117">117</xref>). Other mechanisms, including viral-mediated changes in bacterial receptor expression and binding (<xref ref-type="bibr" rid="B77">77</xref>, <xref ref-type="bibr" rid="B118">118</xref>&#x2013;<xref ref-type="bibr" rid="B121">121</xref>) and the degradation of epithelial tight junction integrity (<xref ref-type="bibr" rid="B122">122</xref>, <xref ref-type="bibr" rid="B123">123</xref>) may also promote bacterial adherence during IAV or RSV infections, and some evidence suggests that these also occur during SARS-CoV-2 infection (<xref ref-type="bibr" rid="B124">124</xref>&#x2013;<xref ref-type="bibr" rid="B126">126</xref>). However, the limited colocalization of pneumococcus with SARS-CoV-2 suggests a limited role (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>).</p>
<p>Several studies have found that neutrophil dysfunction contributes to pathogenicity of IAV-pneumococcal coinfection, and this seems to be mediated by bacterial metabolism (<xref ref-type="bibr" rid="B82">82</xref>) and type I IFNs (<xref ref-type="bibr" rid="B71">71</xref>, <xref ref-type="bibr" rid="B83">83</xref>, <xref ref-type="bibr" rid="B127">127</xref>). However, unlike IAV-pneumococcal coinfections, type I IFNs were unchanged after SARS-CoV-2-pneumococcal coinfection (<xref ref-type="supplementary-material" rid="SM1"><bold>Figure S5</bold></xref>) and neutrophil infiltration was only observed in coinfection at 7 d pvi (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3A</bold></xref>), suggesting that there may be different mechanisms underlying the enhanced pathogenicity of SARS-CoV-2 pneumococcal coinfection. This may, in part, be related to the low dose used here, where some studies have found that the SARS-CoV-related alterations to the IFN and iM&#x424; responses occur during more severe infections (<xref ref-type="bibr" rid="B128">128</xref>). It was intriguing to see here that cytokine production was largely unchanged at 24 h pbi (<xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>S5</bold></xref>), which is in contrast with the robust proinflammatory cytokine/chemokine production during other viral-bacterial coinfections (<xref ref-type="bibr" rid="B39">39</xref>&#x2013;<xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B84">84</xref>, <xref ref-type="bibr" rid="B85">85</xref>). Perhaps unexpectedly, several cytokines associated with severe COVID-19 and damaging cytokine overproduction (IL-6, IL-15, and IL-18) (<xref ref-type="bibr" rid="B129">129</xref>, <xref ref-type="bibr" rid="B130">130</xref>) were reduced following coinfection at 5 d pvi (<xref ref-type="fig" rid="f4"><bold>Figure&#xa0;4</bold></xref>).</p>
<p>Although coinfections are typically thought to be hyperinflammatory with enhanced disease severity, tissue inflammation does not seem to be altered during SARS-CoV-2-pneumococcal (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>) or influenza-pneumococcal (<xref ref-type="bibr" rid="B55">55</xref>) coinfections even with large neutrophil infiltrations (<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B82">82</xref>) (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3A</bold></xref>), at least within the first few days of coinfection. This may be owed to the nonlinearities between host immune responses, tissue inflammation, and disease severity (<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B56">56</xref>). Although the pathogenicity was increased during the coinfections at 5 d and 7 d pvi, there seemed to be little contribution from SARS-CoV-2, where the burden and distribution did not change within the first 24 h pbi (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>) despite reduced CD8<sup>+</sup> T cells in some groups (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3G</bold></xref>). In IAV-pneumococcal coinfections, invading bacteria result in robustly increased viral loads (<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B68">68</xref>, <xref ref-type="bibr" rid="B82">82</xref>, <xref ref-type="bibr" rid="B131">131</xref>&#x2013;<xref ref-type="bibr" rid="B133">133</xref>) regardless of timing (<xref ref-type="bibr" rid="B55">55</xref>) and viral dissemination in the lung is increased by 30-50% (<xref ref-type="bibr" rid="B55">55</xref>). Our prior work (<xref ref-type="bibr" rid="B55">55</xref>) suggests this is due to a combination of direct viral-bacterial interactions (<xref ref-type="bibr" rid="B97">97</xref>) that lead to viral access to new areas of the lung in addition to increased virus production rates (<xref ref-type="bibr" rid="B68">68</xref>) that may be mediated by alterations to the antiviral IFN response (<xref ref-type="bibr" rid="B98">98</xref>). The lack of detection of SARS-CoV-2 in new areas of the lung and the lack of significant colocalization of virus and bacteria (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2</bold></xref>) may suggest that SARS-CoV-2 cannot as readily attach to pneumococcus like other viruses (<xref ref-type="bibr" rid="B97">97</xref>, <xref ref-type="bibr" rid="B134">134</xref>), which is positive news given that pneumococci easily invade the blood [Reviewed in (<xref ref-type="bibr" rid="B135">135</xref>)] and SARS-CoV-2 affects numerous other organs (<xref ref-type="bibr" rid="B51">51</xref>&#x2013;<xref ref-type="bibr" rid="B54">54</xref>).</p>
<p>Although the long-term effects of viral-bacterial coinfections are not well studied, these data suggest they may be important where the SARS-CoV-2-bacterial coinfection resulted in lasting immunologic changes in recovered individuals. The higher macrophages and T cells (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3</bold></xref>) and their associated cytokines (<xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4</bold></xref>, <xref ref-type="supplementary-material" rid="SM1"><bold>S5</bold></xref>) at 17 d pvi in animals recovered from bacterial coinfection is intriguing and suggests sustained immunopathology (<xref ref-type="bibr" rid="B55">55</xref>, <xref ref-type="bibr" rid="B56">56</xref>, <xref ref-type="bibr" rid="B136">136</xref>, <xref ref-type="bibr" rid="B137">137</xref>). Many of the elevated responses are indicators of acute respiratory distress syndrome (ARDS) (<xref ref-type="bibr" rid="B138">138</xref>, <xref ref-type="bibr" rid="B139">139</xref>) and are upregulated to promote tissue recovery and reduce pathology (<xref ref-type="bibr" rid="B140">140</xref>&#x2013;<xref ref-type="bibr" rid="B143">143</xref>). This was reflected in the slightly greater interstitial inflammation 17 d pvi (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>) in coinfected animals. However, several cytokines were lower in animals that had recovered from bacterial coinfection with some below that of a na&#xef;ve animal (<xref ref-type="supplementary-material" rid="SM1"><bold>Figures S5 and S6</bold></xref>), which may support a remodeling environment induced, in part, by hyporesponsive epithelial cells downregulating inflammatory cytokine production to minimize local immune activation [Reviewed in (<xref ref-type="bibr" rid="B144">144</xref>)]. In addition, the reductions in Th2 cytokines (e.g., IL-13, IL-5, and IL-9) may be an attempt to improve lung function (<xref ref-type="bibr" rid="B145">145</xref>&#x2013;<xref ref-type="bibr" rid="B148">148</xref>) while limiting hyperreactivity and further damage. Nevertheless, our results suggest a lengthy recovery of the lung from both SARS-CoV-2 and SARS-CoV-2-related secondary bacterial infections.</p>
<p>Vaccinating against SARS-CoV-2 is likely to prove important for reducing the incidence and severity of bacterial coinfections as it has for influenza (<xref ref-type="bibr" rid="B149">149</xref>). The robust efficacy of the SARS-CoV-2 vaccines is encouraging (<xref ref-type="bibr" rid="B150">150</xref>&#x2013;<xref ref-type="bibr" rid="B153">153</xref>), but infection is still possible with viral replication in the nasopharynx in some vaccinated individuals (<xref ref-type="bibr" rid="B154">154</xref>&#x2013;<xref ref-type="bibr" rid="B157">157</xref>). This could present an opportunity for bacterial pathogens to invade and worsen the infection. With few vaccines available for coinfecting bacteria (<xref ref-type="bibr" rid="B149">149</xref>), the interactions within the nasopharynx between this virus and both commensal and pathogenic bacteria will be important to study.</p>
<p>In summary, we used the transgenic K18-hACE2 mouse model (<xref ref-type="bibr" rid="B158">158</xref>) to establish that a low dose SARS-CoV-2 infection increases the risk of pneumococcal coinfection in a time-dependent manner. The data importantly highlight many differences with other viral-bacterial coinfections and the need for further studies to clarify the host-pathogen interplay that enhance susceptibility and pathogenicity during SARS-CoV-2-bacterial coinfection. This information may be crucial going forward, particularly because a sustained immune activation following coinfection suggests an increased risk of developing ARDS even in patients with mild COVID-19. In addition, as new SARS-CoV-2 variants emerge and nonpharmaceutical measures, such as wearing masks and physical distancing, become less common, we might anticipate an increase in risk of bacterial transmission and acquisition in COVID-19-infected individuals.</p>
</sec>
<sec id="s4" sec-type="materials|methods">
<title>Materials and Methods</title>
<sec id="s4_1">
<title>Mice</title>
<p>Adult (10-13 week old) male and female K18-hACE2 transgenic mice (B6.Cg-Tg(K18-ACE2)2Prlmn/J) were obtained from Jackson Laboratories (Bar Harbor, ME). Mice were housed in groups of 4 in solid&#x2013;bottom polysulfone individually ventilated cages (Allentown BCU) in rooms maintained on a 12:12-hour light:dark cycle at 22 &#xb1; 2&#xb0;C with 30-70% humidity in the Regional Biocontainment Laboratory (animal biosafety level 3 facility) at UTHSC (Memphis, TN). Mice were acclimated for 1 day before being lightly anesthetized with 2% inhaled isoflurane (Baxter, Deerfield, IL) and implanted subcutaneously with an IPTT300 transponder (Bio Medic Data Systems, Seaford, DE) for identification and temperature monitoring, followed by an additional 3 days of acclimation before inclusion in the experiments. Envigo irradiated rodent diet (catalog no. 7912) and autoclaved water were available ad libitum during the acclimation and study periods; gel food and hydrogel were provided at the time of infection. All experimental procedures were performed under protocol 20-0132 approved by the Institutional Animal Care and Use Committee at University of Tennessee Health Science Center (UTHSC) under relevant institutional and American Veterinary Medical Association (AVMA) guidelines and were performed in a animal biosafety level 3 facility that is accredited by the American Association for Laboratory Animal Science (AALAS).</p>
</sec>
<sec id="s4_2">
<title>Infection Experiments</title>
<p>All experiments were done using 2019-nCoV/USA-WA1/2020 (BEI Resources NR-52281) (SARS-CoV-2) and type 2 pneumococcal strain D39. The viral infectious dose [plaque forming units (PFU)] was determined by plaque assay of serial dilutions on Vero E6 cells. Virus seed stocks were sequenced using next-generation sequencing with ARTIC primers on the Illumina MiSeq. Bacterial infectious dose [colony forming units (CFU)] was determined by using serial dilutions on tryptic soy agar plates supplemented with 3% sheep erythrocytes (TSA). Doses of virus and bacteria were selected that elicited mild-moderate disease independently to ensure that changes in disease severity following coinfection would be evident. Frozen stocks were diluted in sterile PBS and administered intranasally to groups of 4 mice, lightly anesthetized with 2.5% inhaled isoflurane (Baxter, Deerfield, IL) in a total volume of 50 &#xb5;l (25 &#xb5;l per nostril). Mice were inoculated with either PBS or SARS-CoV-2 at day 0 then with 10<sup>3</sup> CFU of D39 or PBS, either 3 or 5 days later. Assessment of symptom severity was performed twice daily after the onset of symptoms by assigning a score (scale 0-3) to clinical features, including weight loss (0, &lt;15%; 1, 15-20%; 2, 21-25%; 3, &gt;25%), temperature change (0, &gt;34&#xb0;C; 1, 34-31&#xb0;C; 2, 30-26&#xb0;C; 3, &lt;26&#xb0;C), body condition/appearance (0, normal; 1, roughened fur; 2, roughened fur, hunched posture, mild grimace, active; 3, roughened fur, hunched posture, grimace, inactive, conjunctivitis, head-tilt), respiratory effort (0, normal; 2, increased respiratory rate and effort; 3, weak, intermittent breathing), behavior (0, normal; 1, slow, unprovoked movement; 2, slow, provoked movement; 3, minimal response/unresponsive or spinning), and dehydration (0, normal; 1, &#x2264; 2 second skin tent, mildly sunken eyes; 2, 2-3 second skin tent, sunken eyes; 3, &gt; 3 second skin tent, sunken eyes). Mice were euthanized if they lost &gt;25% of their starting body weight or became moribund based on clinical scores (a score of 3 in any single category or a cumulative score of &#x2265;9 in respiratory effort, dehydration, temperature reduction, behavior, body condition/appearance).</p>
</sec>
<sec id="s4_3">
<title>Harvest and Processing of Lungs and Blood</title>
<p>Mice were euthanized by 33% isoflurane inhalation. Lungs were aseptically harvested, washed in PBS, and fixed in 10% neutral buffered formalin for histology or digested with collagenase (1 mg/ml, Sigma C0130) and physical homogenization against a 40 &#xb5;m cell strainer for immune cell staining. Lung digest supernatants were used to quantify cytokines and chemokines and to determine viral and bacterial titers as above; bacterial titers were also measured in peripheral blood. Following red blood cell lysis, lung cells were washed in staining buffer (PBS, 5mM EDTA, 10mM HEPES, and 0.5% bovine serum albumin), counted with trypan blue exclusion using a Cell Countess System (Invitrogen, Grand Island, NY), and prepared for flow cytometric analysis as described below.</p>
</sec>
<sec id="s4_4">
<title>Flow Cytometric Analysis</title>
<p>Flow cytometry (BD FACSAria; San Jose, CA) was performed on single cell suspensions after Fc receptor blocking (TruStainFcX, Biolegend) and viability staining (Zombie Violet Fixable Viability, Biolegend), 25 min surface staining, and fixation (BD Cytofix). The followed anti-mouse antibody panels were used for cell subset analysis: CD45 (clone 30-F11, Pe-Cy7, Biolegend), CD3e (clone 145-2C11, FITC, Biolegend), CD4 (clone RM4-5, V500, BD Biosciences), CD8&#x3b1; (clone 53-6.7, PerCP-Cy5.5, Biolegend), CD19 (clone 6D5, PE, Biolegend), CD335 (clone 29A1.4, APC-Fire750, Biolegend), and CD69 (clone H1.2F3, APC, Biolegend) or CD45 (clone 30-F11, Pe-Cy7, Biolegend), Ly6G (clone 1A8, PerCP-Cy5.5, Biolegend), F4/80 (clone BM8, PE, eBioscience), CD11b (clone M1/70, V500, BD Biosciences), CD11c (clone N418, APC-Fire750, Biolegend), MHC-II (clone I-A/I-E, FITC, eBioscience), and CD69 (clone H1.2F3, APC, Biolegend). The data were analyzed using FlowJo 10.7.2 (Tree Star, Ashland, OR). Data were cleaned using the flowAI application (<xref ref-type="bibr" rid="B159">159</xref>) followed by gating viable cells from a forward scatter/side scatter plot, singlet inclusion, and viability dye exclusion. CD45<sup>+</sup> cells were selected for further analyses. Neutrophils (Ly6G<sup>hi</sup>), alveolar macrophages (AM&#x3a6;) (F4/80<sup>hi</sup>CD11c<sup>hi</sup>CD11b<sup>-</sup>MHC-II<sup>low/-</sup>), inflammatory/exudate macrophages (iM&#x3a6;) (F4/80<sup>hi</sup>CD11c<sup>hi</sup>CD11b<sup>+</sup>MHC-II<sup>mid/hi</sup>), other monocyte/macrophage populations (F4/80<sup>mid</sup>CD11c<sup>mid</sup>CD11b<sup>+</sup> and F4/80<sup>mid</sup>CD11c<sup>-</sup>CD11b<sup>+/-</sup>), NK cells (CD3e<sup>-</sup>CD19<sup>-</sup>CD335<sup>+</sup>), CD4 T cells (CD3<sup>+</sup>CD8<sup>-</sup>CD4<sup>+</sup>CD335<sup>-</sup>), CD8 T cells (CD3<sup>+</sup>CD8<sup>+</sup>CD4<sup>-</sup>CD335<sup>-</sup>), NK T cells (CD3e<sup>+</sup>CD335<sup>+</sup>), B cells (CD3e<sup>-</sup>CD19<sup>+</sup>), and recently activated subsets thereof (CD69<sup>+</sup>) were gated as in <xref ref-type="supplementary-material" rid="SM1"><bold>Figure S2</bold></xref>.</p>
</sec>
<sec id="s4_5">
<title>Cytokine and Chemokine Quantification</title>
<p>Cytokines G-CSF (CSF-3), GM-CSF, IFN-&#x3b3;, IL-1&#x3b1;, IL-1&#x3b2;, IL-2, IL-3, IL-4, IL-5, IL-6, IL-9, IL-10, IL-12p70, IL-13, IL-15/IL-15R, IL-17A (CTLA-8), IL-18, IL-22, IL-23, IL-27, IL-28, IL-31, LIF, MCP-3 (CCL7), M-CSF, TNF-&#x3b1;) and chemokines (ENA-78 (CXCL5), eotaxin (CCL11), GRO&#x3b1; (CXCL1), IP-10 (CXCL10), MCP-1 (CCL2), MIP-1&#x3b1; (CCL3), MIP-1&#x3b2; (CCL4), MIP-2&#x3b1; (CXCL2), RANTES (CCL5) were measured in lung supernatant by Luminex and ELISA (IFN-&#x3b1;,&#x3b2;). Before use, cell debris and aggregates were removed by centrifugation at 4&#xb0;C, 400 x <italic>g</italic>. ProcartaPlex magnetic bead cytokine/chemokine plates (Invitrogen) were prepared according to the manufacturer&#x2019;s instructions. Data were acquired using a MagPix (Luminex) with Luminex xPonent software (v4.2) and analyzed with the ProcartaPlex Analysis App (ThermoFisher Connect). ELISAs for IFN&#x3b1; and IFN&#x3b2; (PBL Assay Science) were prepared according to the manufacturer&#x2019;s instructions, read at 450 nm, and analyzed using GraphPad Prism 9.2.0. Mean concentrations of duplicate samples were calculated by the construction of standard curves using a weighted 5PL and 4PL regression for the ProcartaPlex and ELISA data, respectively. Absolute quantities of each cytokine/chemokine were calculated based on the mean concentration of replicate samples normalized to the lung supernatant volume collected during tissue processing. Internal plate controls were used to adjust values obtained between plates and fold changes in cytokine and chemokine quantities were calculated for each animal, normalized to the average of na&#xef;ve controls (pooled males/females).</p>
</sec>
<sec id="s4_6">
<title>Histology</title>
<p>Following euthanasia and tissue removal as above, lungs were continually fixed in 10% neutral-buffered formalin solution (NBF; ThermoFisher Scientific, Waltham, MA) before being embedded in paraffin, sectioned at 4&#x3bc;m, and mounted on positively charged glass slides (Superfrost Plus; Thermo Fisher Scientific, Waltham, MA). Tissue sections were stained with hematoxylin and eosin (H&amp;E) or subjected to immunohistochemical (IHC) staining to detect SARS-CoV-2 antigen or pneumococcus. Tissue sections were deparaffinized and rehydrated before undergoing antigen retrieval in a citrate-based solution (pH 6.0) at 97&#xb0;C for SARS-CoV-2 detection or a tris-based solution (pH 9.0) for pneumococcal detection (Vector Laboratories, Burlingame, CA). For IHC, a primary monoclonal antibody against SARS-CoV-2 nucleoprotein (NP) (Sino Biological, Wayne, PA) or a rabbit polyclonal antibody against pneumococcus (Novus Biologicals, Littleton, CO) was used at 1:1000 followed by a biotinylated anti-rabbit antibody (Vector Laboratories, Burlingame, CA) at 1:200, the Vectastain Elite ABC-HRP kit (Vector Laboratories, Burlingame, CA), and 3,3&#x2019;-Diaminobenzidine (DAB) solution development. Stained sections were counterstained with hematoxylin, dehydrated, and examined by a pathologist blinded to the experimental group assignments. Pathology was scored on a scale from 0-5, where 0 = normal, no tissue affected; 1 = minimal: rare or inconspicuous lesions; 2 = mild: multifocal or small, focal, or widely separated, but conspicuous lesions; 3 = moderate: multifocal, prominent lesions; 4 = marked: extensive to coalescing lesions or areas of inflammation with some loss of structure; 5 = severe: diffuse lesion with effacement of normal structure. Intermediate severity grades were assigned where necessary. To quantify the extent of viral infection in the lungs, digital images of whole lung sections stained for viral antigen were first captured using the Aperio ScanScope XT Slide Scanner (Aperio Technologies, Inc., Vista, CA). The areas of both the entire lung parenchyma (alveoli and bronchioles) and the virus-positive regions were outlined manually with areas determined using ImageScope software (Aperio Technologies, Inc.). Representative images and quantitative analyses of viral spread and lung pathology during infection are shown in <xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2</bold></xref>, <xref ref-type="fig" rid="f5"><bold>5</bold></xref>, respectively.</p>
</sec>
<sec id="s4_7">
<title>Statistical Analysis</title>
<p>Significant differences in Kaplan-Meier survival curves were calculated using the log-rank test. Linear values of lung and blood bacterial loads, viral loads, immune cells, and cytokines/chemokines were compared using an unpaired <italic>t</italic> test with Welch correction except where the Mann-Whitney test was used due to unequal variances (GraphPad Prism 9.2.0 and Rv4.0.3). The confidence interval of significance was set to 95%, and <italic>P</italic> &#x2264; 0.05 was considered significant.</p>
</sec>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Material</bold></xref>. Further inquiries can be directed to the corresponding authors. The following reagent was deposited by the Centers for Disease Control and Prevention and obtained through BEI Resources, NIAID, NIH: SARS-Related Coronavirus 2, Isolate USA-WA1/2020, NR-52281.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics Statement</title>
<p>The animal study was reviewed and approved by Institutional Animal Care and Use Committee at the University of Tennessee Health Science Center.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author Contributions</title>
<p>APS, RC, CJ, and AMS conceived and designed the experiments. APS, EW, TP, MS, LL, LZ, and YX performed the experiments. YX and PV performed histological analysis. APS and AMS wrote the manuscript with input from all authors. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>This work was supported by the UTHSC Institute for the Study of Host Pathogen Systems, the University of Tennessee Research Foundation, and NIH grant number AI139088.</p>
</sec>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of Interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s10" sec-type="disclaimer">
<title>Publisher&#x2019;s Note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgments</title>
<p>We thank the staff of the Regional Biocontainment Laboratory and Deidre Daria, Ph.D. for technical support, and Jyothi Parvathareddy and Dong Yang for the generation and characterization of viral stocks.</p>
</ack>
<sec id="s11" sec-type="supplementary-material">
<title>Supplementary Material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2022.894534/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2022.894534/full#supplementary-material</ext-link>
</p>
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