The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
Perspectives on monoclonal antibody therapy as potential therapeutic intervention for Coronavirus disease-19 (COVID-19)
Open accessAbstract
Last decade witnessed the outbreak of many life-threatening human pathogens including Nipah, Ebola, Chikungunya, Zika, Middle East respiratory syndrome coronavirus (MERS-CoV), Severe Acute respiratory syndrome coronavirus (SARS-CoV) and more recently novel coronavirus (2019-nCoV or SARS-CoV-2). The disease condition associated with novel coronavirus, referred to as Coronavirus disease (COVID-19). The emergence of novel coronavirus in 2019 in Wuhan, China marked the third highly pathogenic coronavirus infecting humans in the 21st century. The continuing emergence of coronaviruses at regular intervals poses a significant threat to human health and economy. Ironically, even after a decade of research on coronavirus, still there are no licensed vaccines or therapeutic agents to treat coronavirus infection which highlights an urgent need to develop effective vaccines or post-exposure prophylaxis to prevent future epidemics. Several clinical, genetic and epidemiological features of COVID-19 resemble SARS-CoV infection. Hence, the research advancements on SARS-CoV treatment might help scientific community in quick understanding of this virus pathogenesis and develop effective therapeutic/prophylactic agents to treat and prevent this infection. Monoclonal antibodies represent the major class of biotherapeutics for passive immunotherapy to fight against viral infection. The therapeutic potential of monoclonal antibodies has been well recognized in the treatment of many diseases. Here, we summarize the potential monoclonal antibody based therapeutic intervention for COVID-19 by considering the existing knowledge on the neutralizing monoclonal antibodies against similar coronaviruses SARS-CoV and MERS-CoV. Further research on COVID-19 pathogenesis could identify appropriate therapeutic targets to develop specific anti-virals against this newly emerging pathogen.
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Wang, D., Hu, B., Hu, C., Zhu, F., Liu, X., Zhang, J., Wang, B., Xiang, H., Cheng, Z., Xiong, Y., et al. (2020) · JAMA · doi:10.1001/jama.2020.1585 · Cited by 20,148
La certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19
Martínez González, M. (2020) · DSPACE System - Metalibrary (University of the Coast) · Cited by 18,463
Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia
Li, Q., Guan, X., Wu, P., Wang, X., Zhou, L., Tong, Y., Ren, R., Leung, K. S. M., Lau, E. H. Y., Wong, J. Y., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001316 · Cited by 16,575
Cryo-EM structure of the 2019-nCoV spike in the prefusion conformation
Wrapp, D., Wang, N., Corbett, K. S., Goldsmith, J. A., Hsieh, C.-L., Abiona, O., Graham, B. S., & McLellan, J. S. (2020) · Science · doi:10.1126/science.abb2507 · Cited by 8,897
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
Angiotensin-converting enzyme 2 is a functional receptor for the SARS coronavirus
Li, W., Moore, M. J., Vasilieva, N., Sui, J., Wong, S. K., Berne, M. A., Somasundaran, M., Sullivan, J. L., Luzuriaga, K., Greenough, T. C., et al. (2003) · Nature · doi:10.1038/nature02145 · Cited by 5,923
Structure, Function, and Evolution of Coronavirus Spike Proteins
Li, F. (2016) · Annual Review of Virology · doi:10.1146/annurev-virology-110615-042301 · Cited by 2,740
Dipeptidyl peptidase 4 is a functional receptor for the emerging human coronavirus-EMC
Raj, V. S., Mou, H., Smits, S. L., Dekkers, D. H. W., Müller, M. A., Dijkman, R., Muth, D., Demmers, J. A. A., Zaki, A., Fouchier, R. A. M., et al. (2013) · Nature · doi:10.1038/nature12005 · Cited by 2,061
Structure of SARS Coronavirus Spike Receptor-Binding Domain Complexed with Receptor
Li, F., Li, W., Farzan, M., & Harrison, S. C. (2005) · Science · doi:10.1126/science.1116480 · Cited by 2,031
Structure and function of immunoglobulins
Schroeder, H. W., & Cavacini, L. (2010) · Journal of Allergy and Clinical Immunology · doi:10.1016/j.jaci.2009.09.046 · Cited by 1,905
Cited by
Potent neutralizing antibodies from COVID-19 patients define multiple targets of vulnerability
Brouwer, P. J. M., Caniels, T. G., van der Straten, K., Snitselaar, J. L., Aldon, Y., Bangaru, S., Torres, J. L., Okba, N. M. A., Claireaux, M., Kerster, G., et al. (2020) · Science · doi:10.1126/science.abc5902 · Cited by 1,140
Neutralizing monoclonal antibodies for treatment of COVID-19
Taylor, P. C., Adams, A. C., Hufford, M. M., de la Torre, I., Winthrop, K., & Gottlieb, R. L. (2021) · Nature Reviews Immunology · doi:10.1038/s41577-021-00542-x · Cited by 732
Thomas, T., Stefanoni, D., Reisz, J. A., Nemkov, T., Bertolone, L., Francis, R. O., Hudson, K. E., Zimring, J. C., Hansen, K. C., Hod, E. A., et al. (2020) · JCI Insight · doi:10.1172/jci.insight.140327 · Cited by 586
CoV-AbDab: the coronavirus antibody database
Raybould, M. I. J., Kovaltsuk, A., Marks, C., & Deane, C. M. (2021) · Bioinformatics · doi:10.1093/bioinformatics/btaa739 · Cited by 383
Di Pierro, F., Iqtadar, S., Khan, A., Ullah Mumtaz, S., Masud Chaudhry, M., Bertuccioli, A., Derosa, G., Maffioli, P., Togni, S., Riva, A., et al. (2021) · International Journal of General Medicine · doi:10.2147/ijgm.s318949 · Cited by 180
Metadata
- Venue
- Asian Pacific Journal of Allergy and Immunology
- Published
- 2020
- Volume
- 38
- Issue
- 1
- Pages
- 10-18
- ISSN
- 0125-877X (ISSN-L)
- 2228-8694
- OpenAlex
- W3009932851
- Cited by
- 486
- References
- 78
- FWCI
- 14.09
- Type
- journal article
- Language
- en
- Open access
- diamond
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