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Dissecting human population variation in single-cell responses to SARS-CoV-2.
Aquino, Yann; Bisiaux, Aurélie; Li, Zhi; O'Neill, Mary; Mendoza-Revilla, Javier; Merkling, Sarah Hélène; Kerner, Gaspard; Hasan, Milena; Libri, Valentina; Bondet, Vincent; Smith, Nikaïa; de Cevins, Camille; Ménager, Mickaël; Luca, Francesca; Pique-Regi, Roger; Barba-Spaeth, Giovanna; Pietropaoli, Stefano; Schwartz, Olivier; Leroux-Roels, Geert; Lee, Cheuk-Kwong; Leung, Kathy; Wu, Joseph T; Peiris, Malik; Bruzzone, Roberto; Abel, Laurent; Casanova, Jean-Laurent; Valkenburg, Sophie A; Duffy, Darragh; Patin, Etienne; Rotival, Maxime; Quintana-Murci, Lluis.
Afiliación
  • Aquino Y; Human Evolutionary Genetics Unit, Institut Pasteur, Université Paris Cité, CNRS UMR2000, Paris, France.
  • Bisiaux A; Collège Doctoral, Sorbonne Université, Paris, France.
  • Li Z; Human Evolutionary Genetics Unit, Institut Pasteur, Université Paris Cité, CNRS UMR2000, Paris, France.
  • O'Neill M; Human Evolutionary Genetics Unit, Institut Pasteur, Université Paris Cité, CNRS UMR2000, Paris, France.
  • Mendoza-Revilla J; Human Evolutionary Genetics Unit, Institut Pasteur, Université Paris Cité, CNRS UMR2000, Paris, France.
  • Merkling SH; Human Evolutionary Genetics Unit, Institut Pasteur, Université Paris Cité, CNRS UMR2000, Paris, France.
  • Kerner G; Insect-Virus Interactions Unit, Institut Pasteur, Université Paris Cité, CNRS UMR2000, Paris, France.
  • Hasan M; Human Evolutionary Genetics Unit, Institut Pasteur, Université Paris Cité, CNRS UMR2000, Paris, France.
  • Libri V; Cytometry and Biomarkers UTechS, Institut Pasteur, Université Paris Cité, Paris, France.
  • Bondet V; Cytometry and Biomarkers UTechS, Institut Pasteur, Université Paris Cité, Paris, France.
  • Smith N; Translational Immunology Unit, Institut Pasteur, Université Paris Cité, Paris, France.
  • de Cevins C; Translational Immunology Unit, Institut Pasteur, Université Paris Cité, Paris, France.
  • Ménager M; Université Paris Cité, Imagine Institute, Laboratory of Inflammatory Responses and Transcriptomic Networks in Diseases, Atip-Avenir Team, INSERM UMR1163, Paris, France.
  • Luca F; Université Paris Cité, Imagine Institute, Laboratory of Inflammatory Responses and Transcriptomic Networks in Diseases, Atip-Avenir Team, INSERM UMR1163, Paris, France.
  • Pique-Regi R; Labtech Single-Cell@Imagine, Imagine Institute, INSERM UMR1163, Paris, France.
  • Barba-Spaeth G; Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI, USA.
  • Pietropaoli S; Department of Obstetrics and Gynecology, Wayne State University, Detroit, MI, USA.
  • Schwartz O; Department of Biology, University of Rome Tor Vergata, Rome, Italy.
  • Leroux-Roels G; Center for Molecular Medicine and Genetics, Wayne State University, Detroit, MI, USA.
  • Lee CK; Department of Obstetrics and Gynecology, Wayne State University, Detroit, MI, USA.
  • Leung K; Structural Virology Unit, Institut Pasteur, Université Paris Cité, CNRS UMR3569, Paris, France.
  • Wu JT; Structural Virology Unit, Institut Pasteur, Université Paris Cité, CNRS UMR3569, Paris, France.
  • Peiris M; Virus and Immunity Unit, Institut Pasteur, Université Paris Cité, CNRS UMR3569, Paris, France.
  • Bruzzone R; Ghent University and University Hospital, Ghent, Belgium.
  • Abel L; Hong Kong Red Cross Blood Transfusion Service, Hospital Authority, Hong Kong SAR, China.
  • Casanova JL; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
  • Valkenburg SA; Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong SAR, China.
  • Duffy D; WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
  • Patin E; Laboratory of Data Discovery for Health (D24H), Hong Kong Science Park, Hong Kong SAR, China.
  • Rotival M; Division of Public Health Laboratory Sciences, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
  • Quintana-Murci L; HKU-Pasteur Research Pole, School of Public Health, The University of Hong Kong, Hong Kong SAR, China.
Nature ; 621(7977): 120-128, 2023 Sep.
Article en En | MEDLINE | ID: mdl-37558883
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 / Genética de Población / Análisis de Expresión Génica de una Sola Célula Límite: Animals / Humans Idioma: En Revista: Nature Año: 2023 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: SARS-CoV-2 / COVID-19 / Genética de Población / Análisis de Expresión Génica de una Sola Célula Límite: Animals / Humans Idioma: En Revista: Nature Año: 2023 Tipo del documento: Article País de afiliación: Francia