ArticlePLoS pathogens2021
Baseline T cell immune phenotypes predict virologic and disease control upon SARS-CoV infection in Collaborative Cross mice.
Article in PLoS pathogens, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 32 citations in OpenAlex.
- Influence of polyfunctional TbetFrontiers in immunology · 2025Trial
- Article
- Characterization of Collaborative Cross mouse founder strain CAST/EiJ as a novel model for lethal COVID-19.Scientific reports · 2024Article
- Characterization of Collaborative Cross mouse founder strain CAST/EiJ as a novel model for lethal COVID-19.Research square · 2024Article
- Collaborative Cross mice have diverse phenotypic responses to infection with Methicillin-resistant Staphylococcus aureus USA300.PLoS genetics · 2024Article
- Unique immune profiles in collaborative cross mice linked to survival and viral clearance upon infection.iScience · 2024Article
- Defining Parameters That Modulate Susceptibility and Protection to Respiratory Murine Coronavirus MHV1 Infection.Journal of immunology (Baltimore, Md. : 1950) · 2024Article
- Host Genetic Variation Impacts SARS-CoV-2 Vaccination Response in the Diversity Outbred Mouse Population.Vaccines · 2024Article
- Variation in histone configurations correlates with gene expression across nine inbred strains of mice.Genome research · 2023Article
- Forward genetic screen of homeostatic antibody levels in the Collaborative Cross identifies MBD1 as a novel regulator of B cell homeostasis.PLoS genetics · 2022Article
- After the virus has cleared-Can preclinical models be employed for Long COVID research?PLoS pathogens · 2022Review
- Using the Collaborative Cross and Diversity Outbred Mice in Immunology.Current protocols · 2022Article
- Article
- Role of hormones in the pregnancy and sex-specific outcomes to infections with respiratory viruses.Immunological reviews · 2022Review
- Novel Mouse Model of Murine Cytomegalovirus-Induced Adaptive NK Cells.ImmunoHorizons · 2022Article
- Review
- A regulatory T cell signature distinguishes the immune landscape of COVID-19 patients from those with other respiratory infections.Science advances · 2021Article
- A differential regulatory T cell signature distinguishes the immune landscape of COVID-19 hospitalized patients from those hospitalized with other respiratory viral infections.medRxiv : the preprint server for health sciences · 2021Article
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Authors and funding
15 authors at 4 institutions in 1 country.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.