Dissecting human population variation in single-cell responses to SARS-CoV-2

被引:0
|
作者
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 de Cevins
Mickaël Ménager
Francesca Luca
Roger Pique-Regi
Giovanna Barba-Spaeth
Stefano Pietropaoli
Olivier Schwartz
Geert Leroux-Roels
Cheuk-Kwong Lee
Kathy Leung
Joseph T. Wu
Malik Peiris
Roberto Bruzzone
Laurent Abel
Jean-Laurent Casanova
Sophie A. Valkenburg
Darragh Duffy
Etienne Patin
Maxime Rotival
Lluis Quintana-Murci
机构
[1] Institut Pasteur,Human Evolutionary Genetics Unit
[2] Université Paris Cité,Collège Doctoral
[3] CNRS UMR2000,Insect
[4] Sorbonne Université,Virus Interactions Unit
[5] Institut Pasteur,Cytometry and Biomarkers UTechS
[6] Université Paris Cité,Translational Immunology Unit
[7] CNRS UMR2000,Center for Molecular Medicine and Genetics
[8] Institut Pasteur,Department of Obstetrics and Gynecology
[9] Université Paris Cité,Department of Biology
[10] Institut Pasteur,Structural Virology Unit
[11] Université Paris Cité,Virus and Immunity Unit
[12] Université Paris Cité,WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine
[13] Imagine Institute,Laboratory of Data Discovery for Health (D24H)
[14] Laboratory of Inflammatory Responses and Transcriptomic Networks in Diseases,Division of Public Health Laboratory Sciences, School of Public Health, Li Ka Shing Faculty of Medicine
[15] Atip-Avenir Team,HKU
[16] INSERM UMR1163,Pasteur Research Pole, School of Public Health
[17] Labtech Single-Cell@Imagine,Centre for Immunology and Infection
[18] Imagine Institute,St Giles Laboratory of Human Genetics of Infectious Diseases
[19] INSERM UMR1163,Laboratory of Human Genetics of Infectious Diseases
[20] Wayne State University,Université Paris Cité
[21] Wayne State University,Department of Pediatrics
[22] University of Rome Tor Vergata,Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity
[23] Institut Pasteur,Chair Human Genomics and Evolution
[24] Université Paris Cité,undefined
[25] CNRS UMR3569,undefined
[26] Institut Pasteur,undefined
[27] Université Paris Cité,undefined
[28] CNRS UMR3569,undefined
[29] Ghent University and University Hospital,undefined
[30] Hong Kong Red Cross Blood Transfusion Service,undefined
[31] Hospital Authority,undefined
[32] The University of Hong Kong,undefined
[33] Hong Kong Science Park,undefined
[34] The University of Hong Kong,undefined
[35] The University of Hong Kong,undefined
[36] Hong Kong Science Park,undefined
[37] The Rockefeller University,undefined
[38] INSERM UMR1163,undefined
[39] Necker Hospital for Sick Children,undefined
[40] Imagine Institute,undefined
[41] Necker Hospital for Sick Children,undefined
[42] Howard Hughes Medical Institute,undefined
[43] University of Melbourne,undefined
[44] Collège de France,undefined
来源
Nature | 2023年 / 621卷
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摘要
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.
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页码:120 / 128
页数:8
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