Nature Communications (May 2024)
Sustained IFN signaling is associated with delayed development of SARS-CoV-2-specific immunity
- Elsa Brunet-Ratnasingham,
- Sacha Morin,
- Haley E. Randolph,
- Marjorie Labrecque,
- Justin Bélair,
- Raphaël Lima-Barbosa,
- Amélie Pagliuzza,
- Lorie Marchitto,
- Michael Hultström,
- Julia Niessl,
- Rose Cloutier,
- Alina M. Sreng Flores,
- Nathalie Brassard,
- Mehdi Benlarbi,
- Jérémie Prévost,
- Shilei Ding,
- Sai Priya Anand,
- Gérémy Sannier,
- Amanda Marks,
- Dick Wågsäter,
- Eric Bareke,
- Hugo Zeberg,
- Miklos Lipcsey,
- Robert Frithiof,
- Anders Larsson,
- Sirui Zhou,
- Tomoko Nakanishi,
- David Morrison,
- Dani Vezina,
- Catherine Bourassa,
- Gabrielle Gendron-Lepage,
- Halima Medjahed,
- Floriane Point,
- Jonathan Richard,
- Catherine Larochelle,
- Alexandre Prat,
- Janet L. Cunningham,
- Nathalie Arbour,
- Madeleine Durand,
- J. Brent Richards,
- Kevin Moon,
- Nicolas Chomont,
- Andrés Finzi,
- Martine Tétreault,
- Luis Barreiro,
- Guy Wolf,
- Daniel E. Kaufmann
Affiliations
- Elsa Brunet-Ratnasingham
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
- Sacha Morin
- Department of Computer Science and Operations Research, Université de Montréal
- Haley E. Randolph
- Committee on Genetics, Genomics, and Systems Biology, University of Chicago
- Marjorie Labrecque
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
- Justin Bélair
- Department of Mathematics and Statistics, Université de Montréal
- Raphaël Lima-Barbosa
- Department of Mathematics and Statistics, Université de Montréal
- 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)
- Michael Hultström
- Anaesthesiology and Intensive Care Medicine, Department of Surgical Sciences, Uppsala University
- Julia Niessl
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
- 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)
- Jérémie Prévost
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
- 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)
- Gérémy Sannier
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
- Amanda Marks
- Department of Immunology, Genetics and Pathology, Uppsala University
- Dick Wågsäter
- Integrative Physiology, Department of Medical Cell Biology, Uppsala University
- Eric Bareke
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
- Hugo Zeberg
- Department of Neuroscience, Karolinska Institutet
- Miklos Lipcsey
- Anaesthesiology and Intensive Care Medicine, Department of Surgical Sciences, Uppsala University
- Robert Frithiof
- Anaesthesiology and Intensive Care Medicine, Department of Surgical Sciences, Uppsala University
- Anders Larsson
- Clinical Chemistry, Department of Medical Sciences, Uppsala University
- Sirui Zhou
- Lady Davis Institute for Medical Research, Jewish General Hospital
- Tomoko Nakanishi
- Lady Davis Institute for Medical Research, Jewish General Hospital
- David Morrison
- Lady Davis Institute for Medical Research, Jewish General Hospital
- Dani Vezina
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
- 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)
- Alexandre Prat
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
- Janet L. Cunningham
- Department of Medical Sciences, Psychiatry, Uppsala University
- Nathalie Arbour
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
- Madeleine Durand
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
- J. Brent Richards
- Department of Epidemiology, Biostatistics and Occupational Health, McGill University
- Kevin Moon
- Department of Mathematics and Statistics, Utah State University
- Nicolas Chomont
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
- Andrés Finzi
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
- Martine Tétreault
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
- Luis Barreiro
- Committee on Genetics, Genomics, and Systems Biology, University of Chicago
- Guy Wolf
- Department of Computer Science and Operations Research, Université de Montréal
- Daniel E. Kaufmann
- Centre de Recherche du Centre Hospitalier de l’Université de Montréal (CRCHUM)
- DOI
- https://doi.org/10.1038/s41467-024-48556-y
- Journal volume & issue
-
Vol. 15,
no. 1
pp. 1 – 19
Abstract
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.