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Syrian hamsters as a small animal model for SARS-CoV-2 infection and countermeasure development
Open accessAbstract
Significance: Since SARS-CoV-2 emerged in China, it has spread rapidly around the world. Effective vaccines and therapeutics for SARS-CoV-2−induced disease (coronavirus disease 2019;COVID-19) are urgently needed. We found that SARS-CoV-2 isolates replicate efficiently in the lungs of Syrian hamsters and cause severe pathological lesions in the lungs of these animals similar to commonly reported imaging features of COVID-19 patients with pneumonia. SARS-CoV-2−infected hamsters mounted neutralizing antibody responses and were protected against rechallenge with SARS-CoV-2. Moreover, passive transfer of convalescent serum to naïve hamsters inhibited virus replication in their lungs. Syrian hamsters are a useful small animal model for the evaluation of vaccines, immunotherapies, and antiviral drugs.
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Cites
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884
A novel coronavirus from patients with pneumonia in China, 2019
Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J., Zhao, X., Huang, B., Shi, W., Lu, R., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001017 · Cited by 28,244
A pneumonia outbreak associated with a new coronavirus of probable bat origin
Zhou, P., Yang, X.-L., Wang, X.-G., Hu, B., Zhang, L., Zhang, W., Si, H.-R., Zhu, Y., Li, B., Huang, C.-L., et al. (2020) · Nature · doi:10.1038/s41586-020-2012-7 · Cited by 21,969
Hoffmann, M., Kleine-Weber, H., Schroeder, S., Krüger, N., Herrler, T., Erichsen, S., Schiergens, T. S., Herrler, G., Wu, N.-H., Nitsche, A., et al. (2020) · Cell · doi:10.1016/j.cell.2020.02.052 · Cited by 20,286
Richardson, S., Hirsch, J. S., Narasimhan, M., Crawford, J. M., McGinn, T., Davidson, K. W., and the Northwell COVID-19 Research Consortium, Barnaby, D. P., Becker, L. B., Chelico, J. D., et al. (2020) · JAMA · doi:10.1001/jama.2020.6775 · Cited by 9,254
Neurologic manifestations of hospitalized patients with coronavirus disease 2019 in Wuhan, China
Mao, L., Jin, H., Wang, M., Hu, Y., Chen, S., He, Q., Chang, J., Hong, C., Zhou, Y., Wang, D., et al. (2020) · JAMA Neurology · doi:10.1001/jamaneurol.2020.1127 · Cited by 7,166
CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)
Chung, M., Bernheim, A., Mei, X., Zhang, N., Huang, M., Zeng, X., Cui, J., Xu, W., Yang, Y., Fayad, Z. A., et al. (2020) · Radiology · doi:10.1148/radiol.2020200230 · Cited by 2,751
CDC COVID-19 Response Team, CDC COVID-19 Response Team, Bialek, S., Boundy, E., Bowen, V., Chow, N., Cohn, A., Dowling, N., Ellington, S., Gierke, R., et al. (2020) · MMWR. Morbidity and Mortality Weekly Report · doi:10.15585/mmwr.mm6912e2 · Cited by 2,277
Susceptibility of ferrets, cats, dogs, and other domesticated animals to SARS–coronavirus 2
Shi, J., Wen, Z., Zhong, G., Yang, H., Wang, C., Huang, B., Liu, R., He, X., Shuai, L., Sun, Z., et al. (2020) · Science · doi:10.1126/science.abb7015 · Cited by 1,911
Clinical features of COVID-19 in elderly patients: A comparison with young and middle-aged patients
Liu, K., Chen, Y., Lin, R., & Han, K. (2020) · Journal of Infection · doi:10.1016/j.jinf.2020.03.005 · Cited by 1,642
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SARS-CoV-2 vaccines in development
Krammer, F. (2020) · Nature · doi:10.1038/s41586-020-2798-3 · Cited by 2,098
Self-citationRobust neutralizing antibodies to SARS-CoV-2 infection persist for months
Wajnberg, A., Amanat, F., Firpo, A., Altman, D. R., Bailey, M. J., Mansour, M., McMahon, M., Meade, P., Mendu, D. R., Muellers, K., et al. (2020) · Science · doi:10.1126/science.abd7728 · Cited by 1,195
Self-citationSARS-CoV-2 D614G variant exhibits efficient replication ex vivo and transmission in vivo
Hou, Y. J., Chiba, S., Halfmann, P., Ehre, C., Kuroda, M., Dinnon, K. H., Leist, S. R., Schäfer, A., Nakajima, N., Takahashi, K., et al. (2020) · Science · doi:10.1126/science.abe8499 · Cited by 900
Self-citationMuñoz-Fontela, C., Dowling, W. E., Funnell, S. G. P., Gsell, P.-S., Riveros-Balta, A. X., Albrecht, R. A., Andersen, H., Baric, R. S., Carroll, M. W., Cavaleri, M., et al. (2020) · Nature · doi:10.1038/s41586-020-2787-6 · Cited by 798
COVID-19 and the human innate immune system
Schultze, J. L., & Aschenbrenner, A. C. (2021) · Cell · doi:10.1016/j.cell.2021.02.029 · Cited by 714
Loss of furin cleavage site attenuates SARS-CoV-2 pathogenesis
Johnson, B. A., Xie, X., Bailey, A. L., Kalveram, B., Lokugamage, K. G., Muruato, A., Zou, J., Zhang, X., Juelich, T., Smith, J. K., et al. (2021) · Nature · doi:10.1038/s41586-021-03237-4 · Cited by 694
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
REGN-COV2 antibodies prevent and treat SARS-CoV-2 infection in rhesus macaques and hamsters
Baum, A., Ajithdoss, D., Copin, R., Zhou, A., Lanza, K., Negron, N., Ni, M., Wei, Y., Mohammadi, K., Musser, B., et al. (2020) · Science · doi:10.1126/science.abe2402 · Cited by 517
SARS-CoV-2 spike D614G change enhances replication and transmission
Zhou, B., Thao, T. T. N., Hoffmann, D., Taddeo, A., Ebert, N., Labroussaa, F., Pohlmann, A., King, J., Steiner, S., Kelly, J. N., et al. (2021) · Nature · doi:10.1038/s41586-021-03361-1 · Cited by 538
Si, L., Bai, H., Rodas, M., Cao, W., Oh, C. Y., Jiang, A., Moller, R., Hoagland, D., Oishi, K., Horiuchi, S., et al. (2021) · Nature Biomedical Engineering · doi:10.1038/s41551-021-00718-9 · Cited by 440
“6b), which is when these animals exhibit fulminant infection and high viral loads as previously demonstrated in the hamster model 44–46 .”
Lessons for COVID-19 immunity from other coronavirus infections
Sariol, A., & Perlman, S. (2020) · Immunity · doi:10.1016/j.immuni.2020.07.005 · Cited by 317
Immune correlates of protection by mRNA-1273 vaccine against SARS-CoV-2 in nonhuman primates
Corbett, K. S., Nason, M. C., Flach, B., Gagne, M., O’Connell, S., Johnston, T. S., Shah, S. N., Edara, V. V., Floyd, K., Lai, L., et al. (2021) · Science · doi:10.1126/science.abj0299 · Cited by 286
Rauch, S., Roth, N., Schwendt, K., Fotin-Mleczek, M., Mueller, S. O., & Petsch, B. (2021) · npj Vaccines · doi:10.1038/s41541-021-00311-w · Cited by 165
Q493K and Q498H substitutions in Spike promote adaptation of SARS-CoV-2 in mice
Huang, K., Zhang, Y., Hui, X., Zhao, Y., Gong, W., Wang, T., Zhang, S., Yang, Y., Deng, F., Zhang, Q., et al. (2021) · EBioMedicine · doi:10.1016/j.ebiom.2021.103381 · Cited by 119
Measuring immunity to SARS-CoV-2 infection: comparing assays and animal models
Khoury, D. S., Wheatley, A. K., Ramuta, M. D., Reynaldi, A., Cromer, D., Subbarao, K., O’Connor, D. H., Kent, S. J., & Davenport, M. P. (2020) · Nature Reviews Immunology · doi:10.1038/s41577-020-00471-1 · Cited by 115
Hajnik, R. L., Plante, J. A., Liang, Y., Alameh, M.-G., Tang, J., Bonam, S. R., Zhong, C., Adam, A., Scharton, D., Rafael, G. H., et al. (2022) · Science Translational Medicine · doi:10.1126/scitranslmed.abq1945 · Cited by 122
Animal models in SARS-CoV-2 research
Chu, H., Chan, J. F.-W., & Yuen, K.-Y. (2022) · Nature Methods · doi:10.1038/s41592-022-01447-w · Cited by 103
Tsuji, S., Minami, S., Hashimoto, R., Konishi, Y., Suzuki, T., Kondo, T., Sasai, M., Torii, S., Ono, C., Shichinohe, S., et al. (2022) · Nature Aging · doi:10.1038/s43587-022-00170-7 · Cited by 84
Self-citationImmunogenicity and efficacy of mRNA COVID-19 vaccine MRT5500 in preclinical animal models
Kalnin, K. V., Plitnik, T., Kishko, M., Zhang, J., Zhang, D., Beauvais, A., Anosova, N. G., Tibbitts, T., DiNapoli, J., Ulinski, G., et al. (2021) · npj Vaccines · doi:10.1038/s41541-021-00324-5 · Cited by 82
Mohandas, S., Yadav, P. D., Shete-Aich, A., Abraham, P., Vadrevu, K. M., Sapkal, G., Mote, C., Nyayanit, D., Gupta, N., Srinivas, V. K., et al. (2021) · iScience · doi:10.1016/j.isci.2021.102054 · Cited by 74
Infectious SARS-CoV-2 Is Emitted in Aerosol Particles
Hawks, S. A., Prussin, A. J., Kuchinsky, S. C., Pan, J., Marr, L. C., & Duggal, N. K. (2021) · mBio · doi:10.1128/mbio.02527-21 · Cited by 57
Corbett, K. S., Nason, M. C., Flach, B., Gagne, M., O’ Connell, S., Johnston, T. S., Shah, S. N., Edara, V. V., Floyd, K., Lai, L., et al. (2021) · doi:10.1101/2021.04.20.440647 · Cited by 43
Yamamoto, M., Tomita, K., Hirayama, Y., Inoue, J.-I., Kawaguchi, Y., & Gohda, J. (2022) · doi:10.1101/2022.03.21.485084 · Cited by 36
Steffen, T. L., Stone, E. T., Hassert, M., Geerling, E., Grimberg, B. T., Espino, A. M., Pantoja, P., Climent, C., Hoft, D. F., George, S. L., et al. (2020) · doi:10.1101/2020.08.21.261727 · Cited by 25
Yoshida, A., Okamura, S., Torii, S., Komatsu, S., Miyazato, P., Sasaki, H., Ueno, S., Suzuki, H., Kamitani, W., Ono, C., et al. (2022) · iScience · doi:10.1016/j.isci.2022.105412 · Cited by 20
Metadata
- Authors
- Imai, M., Iwatsuki-Horimoto, K., Hatta, M., Loeber, S., Halfmann, P. J., Nakajima, N., Watanabe, T., Ujie, M., Takahashi, K., Ito, M., Yamada, S., Fan, S., Chiba, S., Kuroda, M., Guan, L., Takada, K., Armbrust, T., Balogh, A., Furusawa, Y., Okuda, M., Ueki, H., Yasuhara, A., Sakai-Tagawa, Y., Lopes, T. J. S., Kiso, M., Yamayoshi, S., Kinoshita, N., Ohmagari, N., Hattori, S.-I., Takeda, M., Mitsuya, H., Krammer, F., Suzuki, T., & Kawaoka, Y.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2020-06-22
- Volume
- 117
- Issue
- 28
- Pages
- 16587-16595
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W3036887118
- Cited by
- 1,021
- References
- 31
- FWCI
- 24.57
- Type
- journal article
- Language
- en
- Open access
- hybrid
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