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Baseline T cell immune phenotypes predict virologic and disease control upon SARS-CoV infection in Collaborative Cross mice

Authors :
Sarah R. Leist
Alexandra Schäfer
Jessica L. Swarts
Sophia Jeng
Lisa E. Gralinski
Fernando Pardo-Manuel de Villena
Ralph S. Baric
Vineet D. Menachery
Martin T. Ferris
Shannon K. McWeeney
Jessica B. Graham
Michael Mooney
Jennifer M. Lund
Darla R. Miller
Mark T. Heise
Source :
PLoS Pathogens, PLoS Pathogens, Vol 17, Iss 1, p e1009287 (2021)
Publication Year :
2021
Publisher :
Public Library of Science, 2021.

Abstract

The COVID-19 pandemic has revealed that infection with SARS-CoV-2 can result in a wide range of clinical outcomes in humans. An incomplete understanding of immune correlates of protection represents a major barrier to the design of vaccines and therapeutic approaches to prevent infection or limit disease. This deficit is largely due to the lack of prospectively collected, pre-infection samples from individuals that go on to become infected with SARS-CoV-2. Here, we utilized data from genetically diverse Collaborative Cross (CC) mice infected with SARS-CoV to determine whether baseline T cell signatures are associated with a lack of viral control and severe disease upon infection. SARS-CoV infection of CC mice results in a variety of viral load trajectories and disease outcomes. Overall, a dysregulated, pro-inflammatory signature of circulating T cells at baseline was associated with severe disease upon infection. Our study serves as proof of concept that circulating T cell signatures at baseline can predict clinical and virologic outcomes upon SARS-CoV infection. Identification of basal immune predictors in humans could allow for identification of individuals at highest risk of severe clinical and virologic outcomes upon infection, who may thus most benefit from available clinical interventions to restrict infection and disease.<br />Author summary We used a screen of genetically diverse mice from the Collaborative Cross infected with mouse-adapted SARS-CoV in combination with comprehensive pre-infection immunophenotyping to identify baseline circulating immune correlates of severe virologic and clinical outcomes upon SARS-CoV infection.

Details

Language :
English
ISSN :
15537374 and 15537366
Volume :
17
Issue :
1
Database :
OpenAIRE
Journal :
PLoS Pathogens
Accession number :
edsair.doi.dedup.....8a5b1db446b698dd147834c7bf117f4f