Author
Listed:
- Yann Aquino
(Institut Pasteur, Université Paris Cité, CNRS UMR2000
Sorbonne Université)
- Aurélie Bisiaux
(Institut Pasteur, Université Paris Cité, CNRS UMR2000)
- Zhi Li
(Institut Pasteur, Université Paris Cité, CNRS UMR2000)
- Mary O’Neill
(Institut Pasteur, Université Paris Cité, CNRS UMR2000)
- Javier Mendoza-Revilla
(Institut Pasteur, Université Paris Cité, CNRS UMR2000)
- Sarah Hélène Merkling
(Institut Pasteur, Université Paris Cité, CNRS UMR2000)
- Gaspard Kerner
(Institut Pasteur, Université Paris Cité, CNRS UMR2000)
- Milena Hasan
(Institut Pasteur, Université Paris Cité)
- Valentina Libri
(Institut Pasteur, Université Paris Cité)
- Vincent Bondet
(Institut Pasteur, Université Paris Cité)
- Nikaïa Smith
(Institut Pasteur, Université Paris Cité)
- Camille Cevins
(Université Paris Cité, Imagine Institute, Laboratory of Inflammatory Responses and Transcriptomic Networks in Diseases, Atip-Avenir Team, INSERM UMR1163)
- Mickaël Ménager
(Université Paris Cité, Imagine Institute, Laboratory of Inflammatory Responses and Transcriptomic Networks in Diseases, Atip-Avenir Team, INSERM UMR1163
Labtech Single-Cell@Imagine, Imagine Institute, INSERM UMR1163)
- Francesca Luca
(Wayne State University
Wayne State University
University of Rome Tor Vergata)
- Roger Pique-Regi
(Wayne State University
Wayne State University)
- Giovanna Barba-Spaeth
(Institut Pasteur, Université Paris Cité, CNRS UMR3569)
- Stefano Pietropaoli
(Institut Pasteur, Université Paris Cité, CNRS UMR3569)
- Olivier Schwartz
(Institut Pasteur, Université Paris Cité, CNRS UMR3569)
- Geert Leroux-Roels
(Ghent University and University Hospital)
- Cheuk-Kwong Lee
(Hong Kong Red Cross Blood Transfusion Service, Hospital Authority)
- Kathy Leung
(The University of Hong Kong
Hong Kong Science Park)
- Joseph T. Wu
(The University of Hong Kong
Hong Kong Science Park)
- Malik Peiris
(The University of Hong Kong
The University of Hong Kong
Hong Kong Science Park)
- Roberto Bruzzone
(The University of Hong Kong
Hong Kong Science Park)
- Laurent Abel
(The Rockefeller University
INSERM UMR1163, Necker Hospital for Sick Children
Imagine Institute)
- Jean-Laurent Casanova
(The Rockefeller University
INSERM UMR1163, Necker Hospital for Sick Children
Imagine Institute
Necker Hospital for Sick Children)
- Sophie A. Valkenburg
(The University of Hong Kong
University of Melbourne)
- Darragh Duffy
(Institut Pasteur, Université Paris Cité
Hong Kong Science Park)
- Etienne Patin
(Institut Pasteur, Université Paris Cité, CNRS UMR2000)
- Maxime Rotival
(Institut Pasteur, Université Paris Cité, CNRS UMR2000)
- Lluis Quintana-Murci
(Institut Pasteur, Université Paris Cité, CNRS UMR2000
Collège de France)
Abstract
Humans display substantial interindividual clinical variability after SARS-CoV-2 infection1–3, the genetic and immunological basis of which has begun to be deciphered4. However, the extent and drivers of population differences in immune responses to SARS-CoV-2 remain unclear. Here we report single-cell RNA-sequencing data for peripheral blood mononuclear cells—from 222 healthy donors of diverse ancestries—that were stimulated with SARS-CoV-2 or influenza A virus. We show that SARS-CoV-2 induces weaker, but more heterogeneous, interferon-stimulated gene activity compared with influenza A virus, and a unique pro-inflammatory signature in myeloid cells. Transcriptional responses to viruses display marked population differences, primarily driven by changes in cell abundance including increased lymphoid differentiation associated with latent cytomegalovirus infection. Expression quantitative trait loci and mediation analyses reveal a broad effect of cell composition on population disparities in immune responses, with genetic variants exerting a strong effect on specific loci. Furthermore, we show that natural selection has increased population differences in immune responses, particularly for variants associated with SARS-CoV-2 response in East Asians, and document the cellular and molecular mechanisms by which Neanderthal introgression has altered immune functions, such as the response of myeloid cells to viruses. Finally, colocalization and transcriptome-wide association analyses reveal an overlap between the genetic basis of immune responses to SARS-CoV-2 and COVID-19 severity, providing insights into the factors contributing to current disparities in COVID-19 risk.
Suggested Citation
Yann Aquino & Aurélie Bisiaux & Zhi Li & Mary O’Neill & Javier Mendoza-Revilla & Sarah Hélène Merkling & Gaspard Kerner & Milena Hasan & Valentina Libri & Vincent Bondet & Nikaïa Smith & Camille Cevin, 2023.
"Dissecting human population variation in single-cell responses to SARS-CoV-2,"
Nature, Nature, vol. 621(7977), pages 120-128, September.
Handle:
RePEc:nat:nature:v:621:y:2023:i:7977:d:10.1038_s41586-023-06422-9
DOI: 10.1038/s41586-023-06422-9
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:621:y:2023:i:7977:d:10.1038_s41586-023-06422-9. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.