The DOI matches its Crossref record; 53 of the 53 references it cites were found in a registry or an index.
SARS-CoV-2 infection is effectively treated and prevented by EIDD-2801
Open accessAbstract
All coronaviruses known to have recently emerged as human pathogens probably originated in bats1. Here we use a single experimental platform based on immunodeficient mice implanted with human lung tissue (hereafter, human lung-only mice (LoM)) to demonstrate the efficient in vivo replication of severe acute respiratory syndrome coronavirus (SARS-CoV), Middle East respiratory syndrome coronavirus (MERS-CoV) and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), as well as two endogenous SARS-like bat coronaviruses that show potential for emergence as human pathogens. Virus replication in this model occurs in bona fide human lung tissue and does not require any type of adaptation of the virus or the host. Our results indicate that bats contain endogenous coronaviruses that are capable of direct transmission to humans. Our detailed analysis of in vivo infection with SARS-CoV-2 in human lung tissue from LoM showed a predominant infection of human lung epithelial cells, including type-2 pneumocytes that are present in alveoli and ciliated airway cells. Acute infection with SARS-CoV-2 was highly cytopathic and induced a robust and sustained type-I interferon and inflammatory cytokine and chemokine response. Finally, we evaluated a therapeutic and pre-exposure prophylaxis strategy for SARS-CoV-2 infection. Our results show that therapeutic and prophylactic administration of EIDD-2801—an oral broad-spectrum antiviral agent that is currently in phase II/III clinical trials—markedly inhibited SARS-CoV-2 replication in vivo, and thus has considerable potential for the prevention and treatment of COVID-19. Human and bat coronaviruses replicate efficiently in immunodeficient mice implanted with human lung tissue, and treatment or prophylaxis using EIDD-2801 in this model suggests that this oral antiviral agent may be effective in preventing COVID-19.
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
STAR: ultrafast universal RNA-seq aligner
Dobin, A., Davis, C. A., Schlesinger, F., Drenkow, J., Zaleski, C., Jha, S., Batut, P., Chaisson, M., & Gingeras, T. R. (2013) · Bioinformatics · doi:10.1093/bioinformatics/bts635 · Cited by 51,709
A novel coronavirus from patients with pneumonia in China, 2019
Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J., Zhao, X., Huang, B., Shi, W., Lu, R., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001017 · Cited by 28,244
Hoffmann, M., Kleine-Weber, H., Schroeder, S., Krüger, N., Herrler, T., Erichsen, S., Schiergens, T. S., Herrler, G., Wu, N.-H., Nitsche, A., et al. (2020) · Cell · doi:10.1016/j.cell.2020.02.052 · Cited by 20,286
Salmon provides fast and bias-aware quantification of transcript expression
Patro, R., Duggal, G., Love, M. I., Irizarry, R. A., & Kingsford, C. (2017) · Nature Methods · doi:10.1038/nmeth.4197 · Cited by 12,700
An interactive web-based dashboard to track COVID-19 in real time
Dong, E., Du, H., & Gardner, L. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30120-1 · Cited by 10,048
Structure, function and antigenicity of the SARS-CoV-2 spike glycoprotein
Walls, A. C., Park, Y.-J., Tortorici, M. A., Wall, A., McGuire, A. T., & Veesler, D. (2020) · doi:10.1101/2020.02.19.956581 · Cited by 8,586
Pathological findings of COVID-19 associated with acute respiratory distress syndrome
Xu, Z., Shi, L., Wang, Y., Zhang, J., Huang, L., Zhang, C., Liu, S., Zhao, P., Liu, H., Zhu, L., et al. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(20)30076-x · Cited by 8,545
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Jayk Bernal, A., Gomes da Silva, M. M., Musungaie, D. B., Kovalchuk, E., Gonzalez, A., Delos Reyes, V., Martín-Quirós, A., Caraco, Y., Williams-Diaz, A., Brown, M. L., et al. (2022) · New England Journal of Medicine · doi:10.1056/nejmoa2116044 · Cited by 1,857
After the pandemic: perspectives on the future trajectory of COVID-19
Telenti, A., Arvin, A., Corey, L., Corti, D., Diamond, M. S., García-Sastre, A., Garry, R. F., Holmes, E. C., Pang, P. S., & Virgin, H. W. (2021) · Nature · doi:10.1038/s41586-021-03792-w · Cited by 426
Bai, H., Si, L., Jiang, A., Belgur, C., Zhai, Y., Plebani, R., Oh, C. Y., Rodas, M., Patil, A., Nurani, A., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-29562-4 · Cited by 171
COVID-19 and cellular senescence
Schmitt, C. A., Tchkonia, T., Niedernhofer, L. J., Robbins, P. D., Kirkland, J. L., & Lee, S. (2023) · Nature Reviews Immunology · doi:10.1038/s41577-022-00785-2 · Cited by 153
Metadata
- Authors
- Wahl, A., Gralinski, L. E., Johnson, C. E., Yao, W., Kovarova, M., Dinnon, K. H., Liu, H., Madden, V. J., Krzystek, H. M., De, C., White, K. K., Gully, K., Schäfer, A., Zaman, T., Leist, S. R., Grant, P. O., Bluemling, G. R., Kolykhalov, A. A., Natchus, M. G., Askin, F. B., Painter, G., Browne, E. P., Jones, C. D., Pickles, R. J., Baric, R. S., & Garcia, J. V.
- Venue
- Nature
- Published
- 2021-02-09
- Volume
- 591
- Issue
- 7850
- Pages
- 451-457
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W3126546961
- Cited by
- 409
- References
- 53
- FWCI
- 25.99
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Wahl, A., Gralinski, L. E., Johnson, C. E., Yao, W., Kovarova, M., Dinnon, K. H., Liu, H., Madden, V. J., Krzystek, H. M., De, C., White, K. K., Gully, K., Schäfer, A., Zaman, T., Leist, S. R., Grant, P. O., Bluemling, G. R., Kolykhalov, A. A., Natchus, M. G., . . . Garcia, J. V. (2021). SARS-CoV-2 infection is effectively treated and prevented by EIDD-2801. Nature. https://doi.org/10.1038/s41586-021-03312-w
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.