﻿<?xml version="1.0" encoding="UTF-8"?>
<ArticleSet>
  <Article>
    <Journal>
      <PublisherName>Tabriz University of Medical Sciences</PublisherName>
      <JournalTitle>BioImpacts</JournalTitle>
      <Issn>2228-5652</Issn>
      <Volume>12</Volume>
      <Issue>2</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2022</Year>
        <Month>02</Month>
        <DAY>06</DAY>
      </PubDate>
    </Journal>
    <ArticleTitle>The active lung microbiota landscape of COVID-19 patients through the metatranscriptome data analysis</ArticleTitle>
    <FirstPage>139</FirstPage>
    <LastPage>146</LastPage>
    <ELocationID EIdType="doi">10.34172/bi.2021.23378</ELocationID>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName>Yang</FirstName>
        <LastName>Han</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0002-0034-5848</Identifier>
      </Author>
      <Author>
        <FirstName>Zhilong</FirstName>
        <LastName>Jia</LastName>
        <Identifier Source="ORCID">https://orcid.org/0000-0003-2370-5073</Identifier>
      </Author>
      <Author>
        <FirstName>Jinlong</FirstName>
        <LastName>Shi</LastName>
      </Author>
      <Author>
        <FirstName>Weidong</FirstName>
        <LastName>Wang</LastName>
      </Author>
      <Author>
        <FirstName>Kunlun</FirstName>
        <LastName>He</LastName>
      </Author>
    </AuthorList>
    <PublicationType>Journal Article</PublicationType>
    <ArticleIdList>
      <ArticleId IdType="doi">10.34172/bi.2021.23378</ArticleId>
    </ArticleIdList>
    <History>
      <PubDate PubStatus="received">
        <Year>2020</Year>
        <Month>08</Month>
        <Day>22</Day>
      </PubDate>
      <PubDate PubStatus="accepted">
        <Year>2020</Year>
        <Month>11</Month>
        <Day>14</Day>
      </PubDate>
    </History>
    <Abstract>Introduction: With the outbreak of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the interaction between the host and SARS-CoV-2 was widely studied. However, it is unclear whether and how SARS-CoV-2 infection affects lung microflora, which contribute to COVID-19 complications.  Methods: Here, we analyzed the metatranscriptomic data of bronchoalveolar lavage fluid (BALF) of 19 COVID-19 patients and 23 healthy controls from 6 independent projects and detailed the active microbiota landscape in both healthy individuals and COVID-19 patients. Results: The infection of SARS-CoV-2 could deeply change the lung microbiota, evidenced by the α-diversity, β-diversity, and species composition analysis based on bacterial microbiota and virome. Pathogens (e.g., Klebsiella oxytoca causing pneumonia as well), immunomodulatory probiotics (e.g., lactic acid bacteria and Faecalibacterium prausnitzii, a butyrate producer), and Tobacco mosaic virus (TMV) were enriched in the COVID-19 group, suggesting a severe microbiota dysbiosis. The significant correlation between Rothia mucilaginosa, TMV, and SARS-CoV-2 revealed drastic inflammatory battles between the host, SARS-CoV-2, and other microbes in the lungs. Notably, TMV only existed in the COVID-19 group, while human respirovirus 3 (HRV 3) only existed in the healthy group. Our study provides insights into the active microbiota in the lungs of COVID-19 patients and would contribute to the understanding of the infection mechanism of SARS-CoV-2 and the treatment of the disease and complications. Conclusion: SARS-COV-2 infection deeply altered the lung microbiota of COVID-19 patients. The enrichment of several other pathogens, immunomodulatory probiotics (lactic acid or butyrate producers), and TMV in the COVID-19 group suggests a complex and active lung microbiota disorder.</Abstract>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Microbiota</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">SARS-CoV-2</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">COVID-19</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Lactic acid bacteria</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">Faecalibacterium prausnitzii</Param>
      </Object>
    </ObjectList>
  </Article>
</ArticleSet>