The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Type 1 interferons as a potential treatment against COVID-19
Open accessAbstract
Type 1 interferons have a broad antiviral activity in vitro and are currently evaluated in a clinical trial to treat MERS-CoV. In this review, we discuss preliminary data concerning the potential activity of type 1 interferons on SARS-CoV-2, and the relevance of evaluating these molecules in clinical trials for the 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
Lai, C.-C., Shih, T.-P., Ko, W.-C., Tang, H.-J., & Hsueh, P.-R. (2020) · International Journal of Antimicrobial Agents · doi:10.1016/j.ijantimicag.2020.105924 · Cited by 6,068
Zhang, W., Zhao, Y., Zhang, F., Wang, Q., Li, T., Liu, Z., Wang, J., Qin, Y., Zhang, X., Yan, X., et al. (2020) · Clinical Immunology · doi:10.1016/j.clim.2020.108393 · Cited by 1,266
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
Cited by
Characteristics of SARS-CoV-2 and COVID-19
Hu, B., Guo, H., Zhou, P., & Shi, Z.-L. (2021) · Nature Reviews Microbiology · doi:10.1038/s41579-020-00459-7 · Cited by 5,291
A single-cell atlas of the peripheral immune response in patients with severe COVID-19
Wilk, A. J., Rustagi, A., Zhao, N. Q., Roque, J., Martínez-Colón, G. J., McKechnie, J. L., Ivison, G. T., Ranganath, T., Vergara, R., Hollis, T., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0944-y · Cited by 1,493
Systems biological assessment of immunity to mild versus severe COVID-19 infection in humans
Arunachalam, P. S., Wimmers, F., Mok, C. K. P., Perera, R. A. P. M., Scott, M., Hagan, T., Sigal, N., Feng, Y., Bristow, L., Tak-Yin Tsang, O., et al. (2020) · Science · doi:10.1126/science.abc6261 · Cited by 1,186
Aging in COVID-19: Vulnerability, immunity and intervention
Chen, Y., Klein, S. L., Garibaldi, B. T., Li, H., Wu, C., Osevala, N. M., Li, T., Margolick, J. B., Pawelec, G., & Leng, S. X. (2021) · Ageing Research Reviews · doi:10.1016/j.arr.2020.101205 · Cited by 1,007
Evasion of Type I Interferon by SARS-CoV-2
Xia, H., Cao, Z., Xie, X., Zhang, X., Chen, J. Y.-C., Wang, H., Menachery, V. D., Rajsbaum, R., & Shi, P.-Y. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.108234 · Cited by 957
Metadata
- Authors
- Sallard, E., Lescure, F.-X., Yazdanpanah, Y., Mentre, F., & Peiffer-Smadja, N.
- Venue
- Antiviral Research
- Publisher
- Elsevier BV
- Published
- 2020-06
- Volume
- 178
- Pages
- 104791
- ISSN
- 0166-3542 (ISSN-L)
- OpenAlex
- W3015705209
- Cited by
- 509
- References
- 4
- FWCI
- 34.83
- Type
- journal article
- Language
- en
- Open access
- bronze
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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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