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Transcriptome network analyses in human coronavirus infections suggest a rational use of immunomodulatory drugs for COVID-19 therapy

  • Henry Sung Ching Wong
  • , Chin Lin Guo
  • , Gan Hong Lin
  • , Kang Yun Lee
  • , Yukinori Okada
  • , Wei Chiao Chang*
  • *Corresponding author for this work
  • Taipei Medical University
  • Academia Sinica - Institute of Physics
  • RIKEN
  • The University of Osaka
  • National Defense Medical University

Research output: Contribution to journalJournal Article peer-review

9 Scopus citations

Abstract

The recent outbreak of coronavirus disease 2019 (COVID-19) by SARS-CoV-2 has led to uptodate 24.3 M cases and 0.8 M deaths. It is thus in urgent need to rationalize potential therapeutic targets against the progression of diseases. An effective, feasible way is to use the pre-existing ΔORF6 mutant of SARS-CoV as a surrogate for SARS-CoV-2, since both lack the moiety responsible for interferon antagonistic effects. By analyzing temporal profiles of upregulated genes in ΔORF6-infected Calu-3 cells, we prioritized 55 genes and 238 ligands to reposition currently available medications for COVID-19 therapy. Eight of them are already in clinical trials, including dexamethasone, ritonavir, baricitinib, tofacitinib, naproxen, budesonide, ciclesonide and formoterol. We also pinpointed 16 drug groups from the Anatomical Therapeutic Chemical classification system, with the potential to mitigate symptoms of SARS-CoV-2 infection and thus to be repositioned for COVID-19 therapy.

Original languageEnglish
Pages (from-to)564-575
Number of pages12
JournalGenomics
Volume113
Issue number2
DOIs
StatePublished - 03 2021
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2021 Elsevier Inc.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • COVID-19
  • Drug repositioning
  • SARS-CoV-2
  • Transcriptomic and network analysis

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