Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/174907
Title: | Longitudinal single cell atlas identifies complex temporal relationship between type I interferon response and COVID-19 severity | Authors: | Lin, Quy Xiao Xuan Rajagopalan, Deepa Gamage, Akshamal M. Tan, Le Min Venkatesh, Prasanna Nori Chan, Wharton O. Y. Kumar, Dilip Agrawal, Ragini Chen, Yao Fong, Siew-Wai Singh, Amit Sun, Louisa J. Tan, Seow-Yen Chai, Louis Yi Ann Somani, Jyoti Lee, Bernett Renia, Laurent Ng, Lisa F. P. Ramanathan, Kollengode Wang, Lin-Fa Young, Barnaby Lye, David Singhal, Amit Prabhakar, Shyam |
Keywords: | Medicine, Health and Life Sciences | Issue Date: | 2024 | Source: | Lin, Q. X. X., Rajagopalan, D., Gamage, A. M., Tan, L. M., Venkatesh, P. N., Chan, W. O. Y., Kumar, D., Agrawal, R., Chen, Y., Fong, S., Singh, A., Sun, L. J., Tan, S., Chai, L. Y. A., Somani, J., Lee, B., Renia, L., Ng, L. F. P., Ramanathan, K., ...Prabhakar, S. (2024). Longitudinal single cell atlas identifies complex temporal relationship between type I interferon response and COVID-19 severity. Nature Communications, 15(1), 567-. https://dx.doi.org/10.1038/s41467-023-44524-0 | Project: | CDAP201703-172-76-00056 IAF-PP-H18/01/a0/020 ACCL/19-GAP064-R20H-H COVID19RF-001 COVID19RF003 COVID19RF-060 OFLCG19May-0034 NRF2016NRF-NSFC002-013 NRF2018NRF-NSFC003SB-002 |
Journal: | Nature Communications | Abstract: | Due to the paucity of longitudinal molecular studies of COVID-19, particularly those covering the early stages of infection (Days 1-8 symptom onset), our understanding of host response over the disease course is limited. We perform longitudinal single cell RNA-seq on 286 blood samples from 108 age- and sex-matched COVID-19 patients, including 73 with early samples. We examine discrete cell subtypes and continuous cell states longitudinally, and we identify upregulation of type I IFN-stimulated genes (ISGs) as the predominant early signature of subsequent worsening of symptoms, which we validate in an independent cohort and corroborate by plasma markers. However, ISG expression is dynamic in progressors, spiking early and then rapidly receding to the level of severity-matched non-progressors. In contrast, cross-sectional analysis shows that ISG expression is deficient and IFN suppressors such as SOCS3 are upregulated in severe and critical COVID-19. We validate the latter in four independent cohorts, and SOCS3 inhibition reduces SARS-CoV-2 replication in vitro. In summary, we identify complexity in type I IFN response to COVID-19, as well as a potential avenue for host-directed therapy. | URI: | https://hdl.handle.net/10356/174907 | ISSN: | 2041-1723 | DOI: | 10.1038/s41467-023-44524-0 | Schools: | Lee Kong Chian School of Medicine (LKCMedicine) | Organisations: | Singapore Immunology Network, A*STAR A*STAR Infectious Diseases Labs Yong Loo Lin School of Medicine, NUS National Centre for Infectious diseases, Singapore Tan Tock Seng Hospital |
Rights: | © The Author(s) 2024. Open Access. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/ licenses/by/4.0/. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | LKCMedicine Journal Articles |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
s41467-023-44524-0.pdf | 3.81 MB | Adobe PDF | ![]() View/Open |
SCOPUSTM
Citations
50
2
Updated on Mar 24, 2025
Page view(s)
120
Updated on Mar 24, 2025
Download(s) 50
31
Updated on Mar 24, 2025
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.