Dissecting human population variation in single-cell responses to SARS-CoV-2.
Yann AquinoAurelie BisiauxZhi LiMary O'NeillJavier Mendoza-RevillaSarah Hélène MerklingGaspard KernerMilena HasanValentina LibriVincent BondetNikaïa SmithCamille de CevinsMickaël Mathieu MénagerFrancesca LucaRoger Pique-RegiGiovanna Barba-SpaethStefano PietropaoliOlivier SchwartzGeert Leroux-RoelsCheuk-Kwong LeeKathy S M LeungGabriel M LeungJoseph S Malik PeirisRoberto BruzzoneLaurent AbelJean-Laurent CasanovaSophie A ValkenburgDarragh DuffyEtienne PatinMaxime RotivalLluis Quintana-MurciPublished in: Nature (2023)
Humans display substantial interindividual clinical variability after SARS-CoV-2 infection 1-3 , the genetic and immunological basis of which has begun to be deciphered 4 . 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.
Keyphrases
- sars cov
- single cell
- immune response
- genome wide
- respiratory syndrome coronavirus
- rna seq
- dendritic cells
- high throughput
- copy number
- induced apoptosis
- dna methylation
- acute myeloid leukemia
- bone marrow
- endothelial cells
- toll like receptor
- high resolution
- gene expression
- coronavirus disease
- stem cells
- machine learning
- depressive symptoms
- healthcare
- cell therapy
- inflammatory response
- mesenchymal stem cells
- cell proliferation
- electronic health record
- transcription factor
- antibiotic resistance genes
- artificial intelligence
- data analysis
- health insurance
- heat shock protein