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

Author:

Aquino YannORCID,Bisiaux AurélieORCID,Li ZhiORCID,O’Neill Mary,Mendoza-Revilla JavierORCID,Merkling Sarah HélèneORCID,Kerner GaspardORCID,Hasan Milena,Libri Valentina,Bondet VincentORCID,Smith NikaïaORCID,de Cevins Camille,Ménager MickaëlORCID,Luca Francesca,Pique-Regi RogerORCID,Barba-Spaeth GiovannaORCID,Pietropaoli StefanoORCID,Schwartz OlivierORCID,Leroux-Roels GeertORCID,Lee Cheuk-Kwong,Leung KathyORCID,Wu Joseph T.ORCID,Peiris MalikORCID,Bruzzone Roberto,Abel Laurent,Casanova Jean-Laurent,Valkenburg Sophie A.,Duffy DarraghORCID,Patin Etienne,Rotival MaximeORCID,Quintana-Murci LluisORCID

Abstract

AbstractHumans 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.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3