Article
Combinatorial analysis reveals highly coordinated early-stage immune reactions that predict later antiviral immunity in mild COVID-19 patients

https://doi.org/10.1016/j.xcrm.2022.100600Get rights and content
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Highlights

  • Highly coordinated early-stage immune responses are confined to mild patients

  • Early immune reactions can predict Ab responses 3 weeks later in mild patients

  • Transient early surge of IFN-β and IP10 correlates with viral load in mild patients

  • Dominant virus-specific CD4 T cells appear in both mild and hospitalized patients

Summary

While immunopathology has been widely studied in patients with severe COVID-19, immune responses in non-hospitalized patients have remained largely elusive. We systematically analyze 484 peripheral cellular or soluble immune features in a longitudinal cohort of 63 mild and 15 hospitalized patients versus 14 asymptomatic and 26 household controls. We observe a transient increase of IP10/CXCL10 and interferon-β levels, coordinated responses of dominant SARS-CoV-2-specific CD4 and fewer CD8 T cells, and various antigen-presenting and antibody-secreting cells in mild patients within 3 days of PCR diagnosis. The frequency of key innate immune cells and their functional marker expression are impaired in hospitalized patients at day 1 of inclusion. T cell and dendritic cell responses at day 1 are highly predictive for SARS-CoV-2-specific antibody responses after 3 weeks in mild but not hospitalized patients. Our systematic analysis reveals a combinatorial picture and trajectory of various arms of the highly coordinated early-stage immune responses in mild COVID-19 patients.

Keywords

COVID-19
non-hospitalized
mild patients
SARS-CoV-2
systems immunology
immunology
early-stage response
predict antibody levels
transient cytokine response
combinatorial analysis

Data and code availability

  • All data reported in this work will be shared by the lead contact upon request. The TCR repertoire sequence data and related metadata generated in this work are available via https://doi.org/10.21417/CMC2022CRM.

  • This work does not report original code.

  • Any additional information required to re-analyze the data reported in this work is available from the lead contact upon request.

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15

These authors contributed equally

16

Senior author

17

Lead contact