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Sustained IFN signaling is associated with delayed development of SARS-CoV-2-specific immunity

Author

Listed:
  • Elsa Brunet-Ratnasingham

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
    Université de Montréal
    University of California)

  • Sacha Morin

    (Université de Montréal
    Mila-Quebec AI Institute)

  • Haley E. Randolph

    (University of Chicago)

  • Marjorie Labrecque

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
    Université de Montréal)

  • Justin Bélair

    (Université de Montréal
    JB Consulting)

  • Raphaël Lima-Barbosa

    (Université de Montréal
    JB Consulting)

  • Amélie Pagliuzza

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM))

  • Lorie Marchitto

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
    Université de Montréal)

  • Michael Hultström

    (Uppsala University
    Uppsala University
    McGill University
    Jewish General Hospital)

  • Julia Niessl

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
    Université de Montréal
    BioNTech SE)

  • Rose Cloutier

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM))

  • Alina M. Sreng Flores

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM))

  • Nathalie Brassard

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM))

  • Mehdi Benlarbi

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
    Université de Montréal)

  • Jérémie Prévost

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
    Université de Montréal)

  • Shilei Ding

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM))

  • Sai Priya Anand

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
    Université de Montréal)

  • Gérémy Sannier

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
    Université de Montréal)

  • Amanda Marks

    (Uppsala University)

  • Dick Wågsäter

    (Uppsala University)

  • Eric Bareke

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM))

  • Hugo Zeberg

    (Karolinska Institutet
    Max Planck Institute for Evolutionary Anthropology)

  • Miklos Lipcsey

    (Uppsala University
    Uppsala University)

  • Robert Frithiof

    (Uppsala University)

  • Anders Larsson

    (Uppsala University)

  • Sirui Zhou

    (Jewish General Hospital
    McGill University)

  • Tomoko Nakanishi

    (Jewish General Hospital
    McGill University
    Kyoto University
    Japan Society for the Promotion of Science)

  • David Morrison

    (Jewish General Hospital)

  • Dani Vezina

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
    Université de Montréal)

  • Catherine Bourassa

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM))

  • Gabrielle Gendron-Lepage

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM))

  • Halima Medjahed

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM))

  • Floriane Point

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM))

  • Jonathan Richard

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM))

  • Catherine Larochelle

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
    Université de Montréal)

  • Alexandre Prat

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
    Université de Montréal)

  • Janet L. Cunningham

    (Uppsala University)

  • Nathalie Arbour

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
    Université de Montréal)

  • Madeleine Durand

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
    Centre Hospitalier de l’Université de Montréal (CHUM))

  • J. Brent Richards

    (McGill University
    Jewish General Hospital
    McGill University
    King’s College London)

  • Kevin Moon

    (Utah State University)

  • Nicolas Chomont

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
    Université de Montréal)

  • Andrés Finzi

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
    Université de Montréal
    McGill University)

  • Martine Tétreault

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
    Université de Montréal)

  • Luis Barreiro

    (University of Chicago
    University of Chicago
    University of Chicago)

  • Guy Wolf

    (Université de Montréal
    Mila-Quebec AI Institute
    Université de Montréal)

  • Daniel E. Kaufmann

    (Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
    Université de Montréal
    Lausanne University Hospital and University of Lausanne)

Abstract

Plasma RNAemia, delayed antibody responses and inflammation predict COVID-19 outcomes, but the mechanisms underlying these immunovirological patterns are poorly understood. We profile 782 longitudinal plasma samples from 318 hospitalized patients with COVID-19. Integrated analysis using k-means reveals four patient clusters in a discovery cohort: mechanically ventilated critically-ill cases are subdivided into good prognosis and high-fatality clusters (reproduced in a validation cohort), while non-critical survivors segregate into high and low early antibody responders. Only the high-fatality cluster is enriched for transcriptomic signatures associated with COVID-19 severity, and each cluster has distinct RBD-specific antibody elicitation kinetics. Both critical and non-critical clusters with delayed antibody responses exhibit sustained IFN signatures, which negatively correlate with contemporaneous RBD-specific IgG levels and absolute SARS-CoV-2-specific B and CD4+ T cell frequencies. These data suggest that the “Interferon paradox” previously described in murine LCMV models is operative in COVID-19, with excessive IFN signaling delaying development of adaptive virus-specific immunity.

Suggested Citation

  • Elsa Brunet-Ratnasingham & Sacha Morin & Haley E. Randolph & Marjorie Labrecque & Justin Bélair & Raphaël Lima-Barbosa & Amélie Pagliuzza & Lorie Marchitto & Michael Hultström & Julia Niessl & Rose Cl, 2024. "Sustained IFN signaling is associated with delayed development of SARS-CoV-2-specific immunity," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-48556-y
    DOI: 10.1038/s41467-024-48556-y
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    References listed on IDEAS

    as
    1. Jesse Fajnzylber & James Regan & Kendyll Coxen & Heather Corry & Colline Wong & Alexandra Rosenthal & Daniel Worrall & Francoise Giguel & Alicja Piechocka-Trocha & Caroline Atyeo & Stephanie Fischinge, 2020. "SARS-CoV-2 viral load is associated with increased disease severity and mortality," Nature Communications, Nature, vol. 11(1), pages 1-9, December.
    2. Erola Pairo-Castineira & Sara Clohisey & Lucija Klaric & Andrew D. Bretherick & Konrad Rawlik & Dorota Pasko & Susan Walker & Nick Parkinson & Max Head Fourman & Clark D. Russell & James Furniss & Ann, 2021. "Genetic mechanisms of critical illness in COVID-19," Nature, Nature, vol. 591(7848), pages 92-98, March.
    3. Christian Ritz & Florent Baty & Jens C Streibig & Daniel Gerhard, 2015. "Dose-Response Analysis Using R," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-13, December.
    Full references (including those not matched with items on IDEAS)

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