In:
PLOS Pathogens, Public Library of Science (PLoS), Vol. 17, No. 1 ( 2021-1-29), p. e1009287-
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.
Type of Medium:
Online Resource
ISSN:
1553-7374
DOI:
10.1371/journal.ppat.1009287
DOI:
10.1371/journal.ppat.1009287.g001
DOI:
10.1371/journal.ppat.1009287.g002
DOI:
10.1371/journal.ppat.1009287.g003
DOI:
10.1371/journal.ppat.1009287.g004
DOI:
10.1371/journal.ppat.1009287.g005
DOI:
10.1371/journal.ppat.1009287.s001
DOI:
10.1371/journal.ppat.1009287.s002
DOI:
10.1371/journal.ppat.1009287.s003
DOI:
10.1371/journal.ppat.1009287.s004
DOI:
10.1371/journal.ppat.1009287.s005
DOI:
10.1371/journal.ppat.1009287.s006
DOI:
10.1371/journal.ppat.1009287.s007
DOI:
10.1371/journal.ppat.1009287.r001
DOI:
10.1371/journal.ppat.1009287.r002
DOI:
10.1371/journal.ppat.1009287.r003
DOI:
10.1371/journal.ppat.1009287.r004
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2021
detail.hit.zdb_id:
2205412-1
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