The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Inhibition of SARS–CoV-2 by type I and type III interferons
Open accessAbstract
The recently emerged severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is the causative agent of the devastating COVID-19 lung disease pandemic. Here, we tested the inhibitory activities of the antiviral interferons of type I (IFN-α) and type III (IFN-λ) against SARS-CoV-2 and compared them with those against SARS-CoV-1, which emerged in 2003. Using two mammalian epithelial cell lines (human Calu-3 and simian Vero E6), we found that both IFNs dose-dependently inhibit SARS-CoV-2. In contrast, SARS-CoV-1 was restricted only by IFN-α in these cell lines. SARS-CoV-2 generally exhibited a broader IFN sensitivity than SARS-CoV-1. Moreover, ruxolitinib, an inhibitor of IFN-triggered Janus kinase/signal transducer and activator of transcription signaling, boosted SARS-CoV-2 replication in the IFN-competent Calu-3 cells. We conclude that SARS-CoV-2 is sensitive to exogenously added IFNs. This finding suggests that type I and especially the less adverse effect-prone type III IFN are good candidates for the management of COVID-19.
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Identification of a novel coronavirus in patients with severe acute respiratory syndrome
Drosten, C., Günther, S., Preiser, W., van der Werf, S., Brodt, H.-R., Becker, S., Rabenau, H., Panning, M., Kolesnikova, L., Fouchier, R. A. M., et al. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa030747 · Cited by 4,574
Self-citationComprehensive analysis of kinase inhibitor selectivity
Davis, M. I., Hunt, J. P., Herrgard, S., Ciceri, P., Wodicka, L. M., Pallares, G., Hocker, M., Treiber, D. K., & Zarrinkar, P. P. (2011) · Nature Biotechnology · doi:10.1038/nbt.1990 · Cited by 2,409
SARS: systematic review of treatment effects
Stockman, L. J., Bellamy, R., & Garner, P. (2006) · PLoS Medicine · doi:10.1371/journal.pmed.0030343 · Cited by 1,217
Shared and Distinct Functions of Type I and Type III Interferons
Lazear, H. M., Schoggins, J. W., & Diamond, M. S. (2019) · Immunity · doi:10.1016/j.immuni.2019.03.025 · Cited by 1,138
COVID-19: combining antiviral and anti-inflammatory treatments
Stebbing, J., Phelan, A., Griffin, I., Tucker, C., Oechsle, O., Smith, D., & Richardson, P. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30132-8 · Cited by 1,117
Frieman, M. B., Chen, J., Morrison, T. E., Whitmore, A., Funkhouser, W., Ward, J. M., Lamirande, E. W., Roberts, A., Heise, M., Subbarao, K., et al. (2010) · PLoS Pathogens · doi:10.1371/journal.ppat.1000849 · Cited by 158
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A Mouse-Adapted SARS-CoV-2 Induces Acute Lung Injury and Mortality in Standard Laboratory Mice
Leist, S. R., Dinnon, K. H., Schäfer, A., Tse, L. V., Okuda, K., Hou, Y. J., West, A., Edwards, C. E., Sanders, W., Fritch, E. J., et al. (2020) · Cell · doi:10.1016/j.cell.2020.09.050 · Cited by 613
A mouse-adapted model of SARS-CoV-2 to test COVID-19 countermeasures
Dinnon, K. H., Leist, S. R., Schäfer, A., Edwards, C. E., Martinez, D. R., Montgomery, S. A., West, A., Yount, B. L., Hou, Y. J., Adams, L. E., et al. (2020) · Nature · doi:10.1038/s41586-020-2708-8 · Cited by 675
Katsura, H., Sontake, V., Tata, A., Kobayashi, Y., Edwards, C. E., Heaton, B. E., Konkimalla, A., Asakura, T., Mikami, Y., Fritch, E. J., et al. (2020) · Cell Stem Cell · doi:10.1016/j.stem.2020.10.005 · Cited by 416
Pathogenesis of COVID-19-induced ARDS: implications for an ageing population
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Metadata
- Authors
- Felgenhauer, U., Schoen, A., Gad, H. H., Hartmann, R., Schaubmar, A. R., Failing, K., Drosten, C., & Weber, F.
- Venue
- Journal of Biological Chemistry
- Publisher
- Elsevier BV
- Published
- 2020-10
- Volume
- 295
- Issue
- 41
- Pages
- 13958-13964
- ISSN
- 0021-9258 (ISSN-L)
- OpenAlex
- W3037578804
- Cited by
- 246
- References
- 6
- FWCI
- 14.74
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Felgenhauer, U., Schoen, A., Gad, H. H., Hartmann, R., Schaubmar, A. R., Failing, K., Drosten, C., & Weber, F. (2020). Inhibition of SARS–CoV-2 by type I and type III interferons. Journal of Biological Chemistry. https://doi.org/10.1074/jbc.ac120.013788
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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