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Gene signatures of SARS-CoV/SARS-CoV-2-infected ferret lungs in short- and long-term models

  • Hsin Liang Liu
  • , I. Jeng Yeh
  • , Nam Nhut Phan
  • , Yen Hung Wu
  • , Meng Chi Yen
  • , Jui Hsiang Hung
  • , Chung Chieh Chiao
  • , Chien Fu Chen
  • , Zhengda Sun
  • , Jia Zhen Jiang
  • , Hui Ping Hsu
  • , Chih Yang Wang
  • , Ming Derg Lai

Research output: Contribution to journalArticlepeer-review

Abstract

Coronaviruses (CoVs) consist of six strains, and the severe acute respiratory syndrome coronavirus (SARS-CoV), newly found coronavirus (SARS-CoV-2) has rapidly spread leading to a global outbreak. The ferret (Mustela putorius furo) serves as a useful animal model for studying SARS-CoV/SARS-CoV-2 infection and developing therapeutic strategies. A holistic approach for distinguishing differences in gene signatures during disease progression is lacking. The present study discovered gene expression profiles of short-term (3 days) and long-term (14 days) ferret models after SARS-CoV/SARS-CoV-2 infection using a bioinformatics approach. Through Gene Ontology (GO) and MetaCore analyses, we found that the development of stemness signaling was related to short-term SARS-CoV/SARS-CoV-2 infection. In contrast, pathways involving extracellular matrix and immune responses were associated with long-term SARS-CoV/SARS-CoV-2 infection. Some highly expressed genes in both short- and long-term models played a crucial role in the progression of SARS-CoV/SARS-CoV-2 infection, including DPP4, BMP2, NFIA, AXIN2, DAAM1, ZNF608, ME1, MGLL, LGR4, ABHD6, and ACADM. Meanwhile, we revealed that metabolic, glucocorticoid, and reactive oxygen species-associated networks were enriched in both short- and long-term infection models. The present study showed alterations in gene expressions from short-term to long-term SARS-CoV/SARS-CoV-2 infection. The current result provides an explanation of the pathophysiology for post-infectious sequelae and potential targets for treatment.

Original languageEnglish
Article number104438
JournalInfection, Genetics and Evolution
Volume85
DOIs
Publication statusPublished - Nov 2020

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

  • Bioinformatics
  • Coronavirus
  • Ferret (Mustela putorius furo)
  • SARS-CoV
  • SARS-CoV-2

ASJC Scopus subject areas

  • Microbiology
  • Ecology, Evolution, Behavior and Systematics
  • Molecular Biology
  • Genetics
  • Microbiology (medical)
  • Infectious Diseases

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