10.6084/M9.FIGSHARE.13489171.V1
Kyle Rosenke
Kyle
Rosenke
Kimberly Meade-White
Kimberly
Meade-White
Michael Letko
Michael
Letko
Chad Clancy
Chad
Clancy
Frederick Hansen
Frederick
Hansen
Yanan Liu
Yanan
Liu
Atsushi Okumura
Atsushi
Okumura
Tsing-Lee Tang-Huau
Tsing-Lee
Tang-Huau
Rong Li
Rong
Li
Greg Saturday
Greg
Saturday
Friederike Feldmann
Friederike
Feldmann
Dana Scott
Dana
Scott
Zhongde Wang
Zhongde
Wang
Vincent Munster
Vincent
Munster
Michael A. Jarvis
Michael A.
Jarvis
Heinz Feldmann
Heinz
Feldmann
Defining the Syrian hamster as a highly susceptible preclinical model for SARS-CoV-2 infection
<p>Following emergence in late 2019, SARS-CoV-2 rapidly became pandemic and is presently responsible for millions of infections and hundreds of thousands of deaths worldwide. There is currently no approved vaccine to halt the spread of SARS-CoV-2 and only very few treatment options are available to manage COVID-19 patients. For development of preclinical countermeasures, reliable and well-characterized small animal disease models will be of paramount importance. Here we show that intranasal inoculation of SARS-CoV-2 into Syrian hamsters consistently caused moderate broncho-interstitial pneumonia, with high viral lung loads and extensive virus shedding, but animals only displayed transient mild disease. We determined the infectious dose 50 to be only five infectious particles, making the Syrian hamster a highly susceptible model for SARS-CoV-2 infection. Neither hamster age nor sex had any impact on the severity of disease or course of infection. Finally, prolonged viral persistence in interleukin 2 receptor gamma chain knockout hamsters revealed susceptibility of SARS-CoV-2 to adaptive immune control. In conclusion, the Syrian hamster is highly susceptible to SARS-CoV-2 making it a very suitable infection model for COVID-19 countermeasure development.</p>
Medicine
Microbiology
Biotechnology
Ecology
Immunology
Mathematical Sciences not elsewhere classified
Cancer
Mental Health
Infectious Diseases
Virology
Computational Biology
Taylor & Francis
2020
2020-12-25
2024-02-20
Dataset
403198 Bytes
10.6084/m9.figshare.13489171
10.1080/22221751.2020.1858177
CC BY 4.0