A dynamic COVID-19 immune signature includes associations with poor prognosis

Adam G Laing, Anna Lorenc, Irene Del Molino Del Barrio, Abhishek Das, Matthew Fish, Leticia Monin, Miguel Muñoz-Ruiz, Duncan R McKenzie, Thomas S Hayday, Isaac Francos-Quijorna, Shraddha Kamdar, Magdalene Joseph, Daniel Davies, Richard Davis, Aislinn Jennings, Iva Zlatareva, Pierre Vantourout, Yin Wu, Vasiliki Sofra, Florencia CanoMaria Greco, Efstathios Theodoridis, Joshua D Freedman, Sarah Gee, Julie Nuo En Chan, Sarah Ryan, Eva Bugallo-Blanco, Pärt Peterson, Kai Kisand, Liis Haljasmägi, Loubna Chadli, Philippe Moingeon, Lauren Martinez, Blair Merrick, Karen Bisnauthsing, Kate Brooks, Mohammad A A Ibrahim, Jeremy Mason, Federico Lopez Gomez, Kola Babalola, Sultan Abdul-Jawad, John Cason, Christine Mant, Jeffrey Seow, Carl Graham, Katie J Doores, Francesca Di Rosa, Jonathan Edgeworth, Manu Shankar-Hari, Adrian C Hayday

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Improved understanding and management of COVID-19, a potentially life-threatening disease, could greatly reduce the threat posed by its etiologic agent, SARS-CoV-2. Toward this end, we have identified a core peripheral blood immune signature across 63 hospital-treated patients with COVID-19 who were otherwise highly heterogeneous. The signature includes discrete changes in B and myelomonocytic cell composition, profoundly altered T cell phenotypes, selective cytokine/chemokine upregulation and SARS-CoV-2-specific antibodies. Some signature traits identify links with other settings of immunoprotection and immunopathology; others, including basophil and plasmacytoid dendritic cell depletion, correlate strongly with disease severity; while a third set of traits, including a triad of IP-10, interleukin-10 and interleukin-6, anticipate subsequent clinical progression. Hence, contingent upon independent validation in other COVID-19 cohorts, individual traits within this signature may collectively and individually guide treatment options; offer insights into COVID-19 pathogenesis; and aid early, risk-based patient stratification that is particularly beneficial in phasic diseases such as COVID-19.

Original languageEnglish
Pages (from-to)1623-1635
Number of pages13
JournalNature Medicine
Volume26
Issue number10
DOIs
Publication statusPublished - 17 Aug 2020

Keywords / Materials (for Non-textual outputs)

  • Aged
  • Antibodies, Viral/immunology
  • B-Lymphocyte Subsets/immunology
  • B-Lymphocytes/immunology
  • Basophils/immunology
  • Betacoronavirus
  • COVID-19
  • Case-Control Studies
  • Cell Cycle
  • Chemokine CXCL10/immunology
  • Chemokines/immunology
  • Cohort Studies
  • Coronavirus Infections/blood
  • Cytokines/immunology
  • Dendritic Cells/immunology
  • Disease Progression
  • Female
  • Flow Cytometry
  • Hospitalization
  • Humans
  • Immunologic Memory
  • Immunophenotyping
  • Interleukin-10/immunology
  • Interleukin-6/immunology
  • Leukocyte Count
  • Lymphocyte Activation/immunology
  • Male
  • Middle Aged
  • Pandemics
  • Pneumonia, Viral/blood
  • Prognosis
  • SARS-CoV-2
  • Severity of Illness Index
  • T-Lymphocyte Subsets/immunology
  • T-Lymphocytes/immunology
  • Up-Regulation

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