Residential College | false |
Status | 已發表Published |
Classification of five SARS-CoV-2 serotypes based on RBD antigenicities | |
Hu, Shixiong1,2; Wu, Chunli2,3; Wu, Xinkai4; Ma, Xuehui2; Shu, Chang5; Chen, Qian6; Zheng, Anqi2; Yang, Huiting2; Lu, Jian4![]() ![]() ![]() ![]() | |
2023-12-15 | |
Source Publication | Science Bulletin
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ISSN | 2095-9273 |
Volume | 68Issue:23Pages:3003-3012 |
Abstract | The continuous evolution of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in a significant number of variants, particularly with the emergence of Omicron with many sub-variants. These variants have exhibited increased immune escape, leading to reduced efficacy of existing vaccines and therapeutic antibodies. Given the diminished cross-neutralization observed among these variants, it is plausible that SARS-CoV-2 has developed multiple serotypes. As the major antigenic site, the receptor-binding domain (RBD) of viral spike (S) protein was chosen for serotyping. We selected 23 representative variants, including pre-Omicron variants and Omicron sub-variants, and classified them into five serotypes based on systematic evaluation of the antigenicities of their RBDs. Each serotype includes several genetically distinct variants. Serotype-I encompasses all pre-Omicron variants (with two subtypes), while the remaining four serotypes are all comprised of Omicron sub-variants at different stages of evolution. We propose that these serotypes can serve as a foundation for rapid classification of newly emerging SARS-CoV-2 variants, and guide the development of future broad-spectrum vaccines and neutralizing antibodies against the coronavirus disease 2019 (COVID-19). |
Keyword | Mrna Vaccine Receptor-binding Domain (Rbd) Sars-cov-2 Serotype Classification Spike (s) |
DOI | 10.1016/j.scib.2023.09.048 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Science & Technology - Other Topics |
WOS Subject | Multidisciplinary Sciences |
WOS ID | WOS:001146112300001 |
Publisher | ELSEVIER, RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS |
Scopus ID | 2-s2.0-85175470763 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | Faculty of Health Sciences |
Corresponding Author | Lu, Jian; Du, Pei; Gao, George Fu; Wang, Qihui |
Affiliation | 1.College of Veterinary Medicine, Shanxi Agricultural University, Jinzhong, 030801, China 2.CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China 3.School of Life Sciences, Yunnan University, Kunming, 650091, China 4.School of Life Sciences, Peking University, Beijing, 100871, China 5.State Key Laboratory of Microbial Resources, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China 6.Faculty of Health Sciences, University of Macau, Macau, 999078, China |
Corresponding Author Affilication | Faculty of Health Sciences |
Recommended Citation GB/T 7714 | Hu, Shixiong,Wu, Chunli,Wu, Xinkai,et al. Classification of five SARS-CoV-2 serotypes based on RBD antigenicities[J]. Science Bulletin, 2023, 68(23), 3003-3012. |
APA | Hu, Shixiong., Wu, Chunli., Wu, Xinkai., Ma, Xuehui., Shu, Chang., Chen, Qian., Zheng, Anqi., Yang, Huiting., Lu, Jian., Du, Pei., Gao, George Fu., & Wang, Qihui (2023). Classification of five SARS-CoV-2 serotypes based on RBD antigenicities. Science Bulletin, 68(23), 3003-3012. |
MLA | Hu, Shixiong,et al."Classification of five SARS-CoV-2 serotypes based on RBD antigenicities".Science Bulletin 68.23(2023):3003-3012. |
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