Animal models and vaccines for SARS-CoV infection

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  • Roberts, Anjeanette
    • Other Affiliation: National Institutes of Health
  • Lamirande, Elaine W.
    • Other Affiliation: National Institutes of Health
  • Vogel, Leatrice
    • Other Affiliation: National Institutes of Health
  • Jackson, Jadon P.
    • Other Affiliation: National Institutes of Health
  • Paddock, Christopher D.
    • Other Affiliation: Centers for Disease Control and Prevention
  • Guarner, Jeannette
    • Other Affiliation: Centers for Disease Control and Prevention
  • Zaki, Sherif R.
    • Other Affiliation: Centers for Disease Control and Prevention
  • Sheahan, Timothy
    • Affiliation: Gillings School of Global Public Health, Department of Epidemiology
  • Baric, Ralph
    • Affiliation: Gillings School of Global Public Health, Department of Epidemiology
  • Subbarao, Kanta
    • Other Affiliation: National Institutes of Health
Abstract
  • We summarize findings of SARS-CoV infections in several animal models each of which support viral replication in lungs accompanied by histopathological changes and/or clinical signs of illness to varying degrees. New findings are reported on SARS-CoV replication and associated pathology in two additional strains (C57BL/6 and 129S6) of aged mice. We also provide new comparative data on viral replication and associated pathology following infection of golden Syrian hamsters with various SARS-CoV strains and report the levels of neutralizing antibody titers following these infections and the cross-protective efficacy of infection with these strains in protecting against heterologous challenge. Finally, we summarize findings of a variety of vaccine approaches and discuss the available in vitro and in vivo data addressing the potential for disease enhancement following re-infection in animals previously vaccinated against or infected with SARS-CoV.
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  • Article
Rights statement
  • In Copyright
Journal title
  • Virus Research
Journal volume
  • 133
Journal issue
  • 1
Page start
  • 20
Page end
  • 32
Language
  • English
ISSN
  • 0168-1702

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