"Sustained IFN Signaling is Associated With Delayed Development of Sars" by Elsa Brunet-Ratnasingham, Sacha Sacha et al.
 

Authors

Elsa Brunet-Ratnasingham, Université de Montréal
Sacha Sacha, Université de Montréal
Haley E. Randolph, University of Chicago
Marjorie Labrecque, Université de Montréal
Justin Bélair, Université de Montréal
Raphaël Lima-Barbosa, Université de Montréal
Amélie Pagliuzza, Université de Montréal
Lorie Marchitto, Université de Montréal
Michael Hultström, Uppsala UniversityFollow
Julia Niessl, Université de Montréal
Rose Cloutier, Université de Montréal
Alina M. Flores, Université de Montréal
Nathalie Brassard, Université de Montréal
Mehdi Benlarbi, Université de Montréal
Jérémie Prévost, Université de Montréal
Shilei Ding, Université de Montréal
Sai Priya Anand, Université de Montréal
Gérémy Sannier, Université de Montréal
Amanda Marks, Uppsala University
Dick Wågsäter, Uppsala University
Eric Bareke, Université de Montréal
Hugo Zeberg, Karolinska Institutet
Miklos Lipcsey, Uppsala University
Robert Frithiof, Uppsala University
Anders Larsson, Uppsala University
Sirui Zhou, Lady Davis Institute for Medical Research
Tomoko Nakanishi, Lady Davis Institute for Medical Research
David Morrison, Lady Davis Institute for Medical Research
Dani Vezina, Université de Montréal
Catherine Bourassa, Université de Montréal
Gabrielle Gendron-Lepage, Université de Montréal
Halima Medjahed, Université de Montréal
Floriane Point, Université de Montréal
Jonathan Richard, Université de Montréal
Catherine Larochelle, Université de Montréal
Alexandre Prat, Université de Montréal
Janet L. Cunningham, Uppsala University
Nathalie Arbour, Université de Montréal
Madeleine Durand, Université de Montréal
J. Brent Richards, McGill University
Kevin Moon, Utah State UniversityFollow
Nicolas Chomont, Université de Montréal
Andrés Finzi, Université de Montréal
Martine Tétreault, Université de Montréal
Luis Barreiro, University of Chicago
Guy Wolf, Université de MontréalFollow
Daniel E. Kaufmann, Université de MontréalFollow

Document Type

Article

Journal/Book Title/Conference

Nature Communications

Volume

15

Publisher

Nature Publishing Group

Publication Date

5-16-2024

First Page

1

Last Page

19

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.

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