<?xml version="1.0" encoding="UTF-8"?>
<item xmlns="http://omeka.org/schemas/omeka-xml/v5" itemId="7676" public="1" featured="0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://omeka.org/schemas/omeka-xml/v5 http://omeka.org/schemas/omeka-xml/v5/omeka-xml-5-0.xsd" uri="http://socictopen.socict.org/items/show/7676?output=omeka-xml" accessDate="2026-06-18T04:44:49+00:00">
  <fileContainer>
    <file fileId="7676">
      <src>http://socictopen.socict.org/files/original/e87058cf830a03115a8a0ed2de6681d2.pdf</src>
      <authentication>f10d1ce1f65d0c4a2fa0214e26bc8d70</authentication>
    </file>
  </fileContainer>
  <collection collectionId="1">
    <elementSetContainer>
      <elementSet elementSetId="1">
        <name>Dublin Core</name>
        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
        <elementContainer>
          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="1">
                <text>Coronavirus</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="2">
                <text>Dominio científico: Coronavirus</text>
              </elementText>
            </elementTextContainer>
          </element>
        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </collection>
  <itemType itemTypeId="1">
    <name>Text</name>
    <description>A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text.</description>
  </itemType>
  <elementSetContainer>
    <elementSet elementSetId="1">
      <name>Dublin Core</name>
      <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
      <elementContainer>
        <element elementId="50">
          <name>Title</name>
          <description>A name given to the resource</description>
          <elementTextContainer>
            <elementText elementTextId="67269">
              <text>Tiotropium is Predicted to be a Promising Drug for COVID-19 Through Transcriptome-Based Comprehensive Molecular Pathway Analysis</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="39">
          <name>Creator</name>
          <description>An entity primarily responsible for making the resource</description>
          <elementTextContainer>
            <elementText elementTextId="67270">
              <text>Keunsoo Kang, Hoo  Hyun Kim, Yoonjung Choi</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="41">
          <name>Description</name>
          <description>An account of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="67271">
              <text>The coronavirus disease 2019 (COVID-19) outbreak caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) affects almost everyone in the world in many ways. We previously predicted antivirals (atazanavir, remdesivir and lopinavir/ritonavir) and non-antiviral drugs (tiotropium and rapamycin) that may inhibit the replication complex of SARS-CoV-2 using our molecular transformer–drug target interaction (MT–DTI) deep-learning-based drug–target affinity prediction model. In this study, we dissected molecular pathways upregulated in SARS-CoV-2-infected normal human bronchial epithelial (NHBE) cells by analyzing an RNA-seq data set with various bioinformatics approaches, such as gene ontology, protein–protein interaction-based network and gene set enrichment analyses. The results indicated that the SARS-CoV-2 infection strongly activates TNF and NFκB-signaling pathways through significant upregulation of the TNF, IL1B, IL6, IL8, NFKB1, NFKB2 and RELB genes. In addition to these pathways, lung fibrosis, keratinization/cornification, rheumatoid arthritis, and negative regulation of interferon-gamma production pathways were also significantly upregulated. We observed that these pathologic features of SARS-CoV-2 are similar to those observed in patients with chronic obstructive pulmonary disease (COPD). Intriguingly, tiotropium, as predicted by MT–DTI, is currently used as a therapeutic intervention in COPD patients. Treatment with tiotropium has been shown to improve pulmonary function by alleviating airway inflammation. Accordingly, a literature search summarized that tiotropium reduced expressions of IL1B, IL6, IL8, RELA, NFKB1 and TNF in vitro or in vivo, and many of them have been known to be deregulated in COPD patients. These results suggest that COVID-19 is similar to an acute mode of COPD caused by the SARS-CoV-2 infection, and therefore tiotropium may be effective for COVID-19 patients.</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="40">
          <name>Date</name>
          <description>A point or period of time associated with an event in the lifecycle of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="67272">
              <text>2020</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="49">
          <name>Subject</name>
          <description>The topic of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="67273">
              <text>covid-19, RNA-Seq, SARS-CoV-2, COPD, Tiotropium, Molecular pathways</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="43">
          <name>Identifier</name>
          <description>An unambiguous reference to the resource within a given context</description>
          <elementTextContainer>
            <elementText elementTextId="67274">
              <text>10.3390/v12070776</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="48">
          <name>Source</name>
          <description>A related resource from which the described resource is derived</description>
          <elementTextContainer>
            <elementText elementTextId="67275">
              <text>Epidemiology and Health</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="45">
          <name>Publisher</name>
          <description>An entity responsible for making the resource available</description>
          <elementTextContainer>
            <elementText elementTextId="67276">
              <text>Korean Society of Epidemiology</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="38">
          <name>Coverage</name>
          <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
          <elementTextContainer>
            <elementText elementTextId="67277">
              <text>Microbiology</text>
            </elementText>
          </elementTextContainer>
        </element>
      </elementContainer>
    </elementSet>
  </elementSetContainer>
</item>
