The DOI matches its Crossref record; 85 of the 85 references it cites were found in a registry or an index.
COVID-19 Vaccine Frontrunners and Their Nanotechnology Design
Open accessAbstract
Humanity is experiencing a catastrophic pandemic. SARS-CoV-2 has spread globally to cause significant morbidity and mortality, and there still remain unknowns about the biology and pathology of the virus. Even with testing, tracing, and social distancing, many countries are struggling to contain SARS-CoV-2. COVID-19 will only be suppressible when herd immunity develops, either because of an effective vaccine or if the population has been infected and is resistant to reinfection. There is virtually no chance of a return to pre-COVID-19 societal behavior until there is an effective vaccine. Concerted efforts by physicians, academic laboratories, and companies around the world have improved detection and treatment and made promising early steps, developing many vaccine candidates at a pace that has been unmatched for prior diseases. As of August 11, 2020, 28 of these companies have advanced into clinical trials with Moderna, CanSino, the University of Oxford, BioNTech, Sinovac, Sinopharm, Anhui Zhifei Longcom, Inovio, Novavax, Vaxine, Zydus Cadila, Institute of Medical Biology, and the Gamaleya Research Institute having moved beyond their initial safety and immunogenicity studies. This review analyzes these frontrunners in the vaccine development space and delves into their posted results while highlighting the role of the nanotechnologies applied by all the vaccine developers.
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Cites
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
Species-specific recognition of single-stranded RNA via toll-like receptor 7 and 8
Heil, F., Hemmi, H., Hochrein, H., Ampenberger, F., Kirschning, C., Akira, S., Lipford, G., Wagner, H., & Bauer, S. (2004) · Science · doi:10.1126/science.1093620 · Cited by 3,947
An mRNA Vaccine against SARS-CoV-2 — Preliminary Report
Jackson, L. A., Anderson, E. J., Rouphael, N. G., Roberts, P. C., Makhene, M., Coler, R. N., McCullough, M. P., Chappell, J. D., Denison, M. R., Stevens, L. J., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2022483 · Cited by 3,237
Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period
Kissler, S. M., Tedijanto, C., Goldstein, E., Grad, Y. H., & Lipsitch, M. (2020) · Science · doi:10.1126/science.abb5793 · Cited by 2,611
Antibody Responses to SARS-CoV-2 in Patients With Novel Coronavirus Disease 2019
Zhao, J., Yuan, Q., Wang, H., Liu, W., Liao, X., Su, Y., Wang, X., Yuan, J., Li, T., Li, J., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa344 · Cited by 2,607
Folegatti, P. M., Ewer, K. J., Aley, P. K., Angus, B., Becker, S., Belij-Rammerstorfer, S., Bellamy, D., Bibi, S., Bittaye, M., Clutterbuck, E. A., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)31604-4 · Cited by 2,419
Genome Composition and Divergence of the Novel Coronavirus (2019-nCoV) Originating in China
Wu, A., Peng, Y., Huang, B., Ding, X., Wang, X., Niu, P., Meng, J., Zhu, Z., Zhang, Z., Wang, J., et al. (2020) · Cell Host & Microbe · doi:10.1016/j.chom.2020.02.001 · Cited by 2,361
Karikó, K., Muramatsu, H., Welsh, F. A., Ludwig, J., Kato, H., Akira, S., & Weissman, D. (2008) · Molecular Therapy · doi:10.1038/mt.2008.200 · Cited by 1,930
Vaccine Adjuvants: Putting Innate Immunity to Work
Coffman, R. L., Sher, A., & Seder, R. A. (2010) · Immunity · doi:10.1016/j.immuni.2010.10.002 · Cited by 1,924
IMMUNOBIOLOGY : the immunesystem in health and disease
Janeway, C. A. (1994) · Cited by 1,757
Cited by
Modifications in an Emergency: The Role of N1-Methylpseudouridine in COVID-19 Vaccines
Nance, K. D., & Meier, J. L. (2021) · ACS Central Science · doi:10.1021/acscentsci.1c00197 · Cited by 466
Effect of natural mutations of SARS-CoV-2 on spike structure, conformation, and antigenicity
Gobeil, S. M.-C., Janowska, K., McDowell, S., Mansouri, K., Parks, R., Stalls, V., Kopp, M. F., Manne, K., Li, D., Wiehe, K., et al. (2021) · Science · doi:10.1126/science.abi6226 · Cited by 394
COVID-19 vaccines: The status and perspectives in delivery points of view
Chung, J. Y., Thone, M. N., & Kwon, Y. J. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2020.12.011 · Cited by 375
Pokrajac, L., Abbas, A., Chrzanowski, W., Dias, G. M., Eggleton, B. J., Maguire, S., Maine, E., Malloy, T., Nathwani, J., Nazar, L., et al. (2021) · ACS Nano · doi:10.1021/acsnano.1c10919 · Cited by 365
Novel approaches for vaccine development
Gebre, M. S., Brito, L. A., Tostanoski, L. H., Edwards, D. K., Carfi, A., & Barouch, D. H. (2021) · Cell · doi:10.1016/j.cell.2021.02.030 · Cited by 347
Metadata
- Authors
- Chung, Y. H., Beiss, V., Fiering, S. N., & Steinmetz, N. F.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2020-10-09
- Volume
- 14
- Issue
- 10
- Pages
- 12522-12537
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W3091950240
- Cited by
- 346
- References
- 85
- FWCI
- 9.08
- Type
- journal article
- Language
- en
- Open access
- bronze
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