The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Remdesivir Inhibits SARS-CoV-2 in Human Lung Cells and Chimeric SARS-CoV Expressing the SARS-CoV-2 RNA Polymerase in Mice
Open accessAbstract
SUMMARY Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in 2019 as the causative agent of the novel pandemic viral disease COVID-19. With no approved therapies, this pandemic illustrates the urgent need for safe, broad-spectrum antiviral countermeasures against SARS-CoV-2 and future emerging CoVs. We report that remdesivir (RDV), a monophosphoramidate prodrug of an adenosine analog, potently inhibits SARS-CoV-2 replication in human lung cells and primary human airway epithelial cultures (EC 50 = 0.01 μM). Weaker activity was observed in Vero E6 cells (EC 50 = 1.65 μM) due to their low capacity to metabolize RDV. To rapidly evaluate in vivo efficacy, we engineered a chimeric SARS-CoV encoding the viral target of RDV, the RNA-dependent RNA polymerase, of SARS-CoV-2. In mice infected with chimeric virus, therapeutic RDV administration diminished lung viral load and improved pulmonary function as compared to vehicle treated animals. These data provide evidence that RDV is potently active against SARS-CoV-2 in vitro and in vivo , supporting its further clinical testing for treatment of COVID-19.
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Zhou, F., Yu, T., Du, R., Fan, G., Liu, Y., Liu, Z., Xiang, J., Wang, Y., Song, B., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30566-3 · Cited by 27,263
Remdesivir for the Treatment of Covid-19 — Final Report
Beigel, J. H., Tomashek, K. M., Dodd, L. E., Mehta, A. K., Zingman, B. S., Kalil, A. C., Hohmann, E., Chu, H. Y., Luetkemeyer, A., Kline, S., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2007764 · Cited by 7,267
Virological assessment of hospitalized patients with COVID-2019
Wölfel, R., Corman, V. M., Guggemos, W., Seilmaier, M., Zange, S., Müller, M. A., Niemeyer, D., Jones, T. C., Vollmar, P., Rothe, C., et al. (2020) · Nature · doi:10.1038/s41586-020-2196-x · Cited by 6,661
First case of 2019 novel coronavirus in the United States
Holshue, M. L., DeBolt, C., Lindquist, S., Lofy, K. H., Wiesman, J., Bruce, H., Spitters, C., Ericson, K., Wilkerson, S., Tural, A., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001191 · Cited by 6,030
Self-citationWan, Y., Shang, J., Graham, R., Baric, R. S., & Li, F. (2020) · Journal of Virology · doi:10.1128/jvi.00127-20 · Cited by 4,341 · cited 1×
“In addition, SARS-CoV-2 does not readily infect wild-type mice because of incompatibilities between the virus spike and the murine ACE2 ortholog, which serves as the SARS-CoV-2 entry receptor (Wan et al., 2020).”
BackgroundSelf-citationSARS and MERS: recent insights into emerging coronaviruses
de Wit, E., van Doremalen, N., Falzarano, D., & Munster, V. J. (2016) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2016.81 · Cited by 3,510
Data, disease and diplomacy: GISAID's innovative contribution to global health
Elbe, S., & Buckland‐Merrett, G. (2017) · Global Challenges · doi:10.1002/gch2.1018 · Cited by 1,928
Viral load of SARS-CoV-2 in clinical samples.
Pan, Y., Zhang, D., Yang, P., Poon, L. L. M., & Wang, Q. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30113-4 · Cited by 1,562
Structural basis for inhibition of the RNA-dependent RNA polymerase from SARS-CoV-2 by remdesivir
Yin, W., Mao, C., Luan, X., Shen, D.-D., Shen, Q., Su, H., Wang, X., Zhou, F., Zhao, W., Gao, M., et al. (2020) · Science · doi:10.1126/science.abc1560 · Cited by 1,219
Identification of Antiviral Drug Candidates against SARS-CoV-2 from FDA-Approved Drugs
Jeon, S., Ko, M., Lee, J., Choi, I., Byun, S. Y., Park, S., Shum, D., & Kim, S. (2020) · Antimicrobial Agents and Chemotherapy · doi:10.1128/aac.00819-20 · Cited by 675
Middle East Respiratory Syndrome
Arabi, Y. M., Balkhy, H. H., Hayden, F. G., Bouchama, A., Luke, T., Baillie, J. K., Al-Omari, A., Hajeer, A. H., Senga, M., Denison, M. R., et al. (2017) · New England Journal of Medicine · doi:10.1056/nejmsr1408795 · Cited by 518
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Menachery, V. D., Yount, B. L., Sims, A. C., Debbink, K., Agnihothram, S. S., Gralinski, L. E., Graham, R. L., Scobey, T., Plante, J. A., Royal, S. R., et al. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1517719113 · Cited by 418
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Muratov, E. N., Amaro, R., Andrade, C. H., Brown, N., Ekins, S., Fourches, D., Isayev, O., Kozakov, D., Medina-Franco, J. L., Merz, K. M., et al. (2021) · Chemical Society Reviews · doi:10.1039/d0cs01065k · Cited by 206
Biering, S. B., Van Dis, E., Wehri, E., Yamashiro, L. H., Wrynla, X. H., Dugast-Darzacq, C., Graham, T. G. W., Stroumza, J. R., Golovkine, G. R., Roberts, A. W., et al. (2021) · ACS Infectious Diseases · doi:10.1021/acsinfecdis.1c00017 · Cited by 28
Metadata
- Authors
- Pruijssers, A. J., George, A. S., Schäfer, A., Leist, S. R., Gralinksi, L. E., Dinnon, K. H., Yount, B. L., Agostini, M. L., Stevens, L. J., Chappell, J. D., Lu, X., Hughes, T. M., Gully, K., Martinez, D. R., Brown, A. J., Graham, R. L., Perry, J. K., Du Pont, V., Pitts, J., Ma, B., Babusis, D., Murakami, E., Feng, J. Y., Bilello, J. P., Porter, D. P., Cihlar, T., Baric, R. S., Denison, M. R., & Sheahan, T. P.
- Venue
- Cell Reports
- Publisher
- Elsevier BV
- Published
- 2020-07
- Volume
- 32
- Issue
- 3
- Pages
- 107940
- ISSN
- 2211-1247 (ISSN-L)
- OpenAlex
- W3041968020
- Cited by
- 510
- References
- 12
- FWCI
- 12.43
- Type
- journal article
- Language
- en
- Open access
- gold
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