The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Ancestral SARS-CoV-2-specific T cells cross-recognize the Omicron variant
Open accessAbstract
The emergence of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron (B.1.1.529) variant of concern (VOC) has destabilized global efforts to control the impact of coronavirus disease 2019 (COVID-19). Recent data have suggested that B.1.1.529 can readily infect people with naturally acquired or vaccine-induced immunity, facilitated in some cases by viral escape from antibodies that neutralize ancestral SARS-CoV-2. However, severe disease appears to be relatively uncommon in such individuals, highlighting a potential role for other components of the adaptive immune system. We report here that SARS-CoV-2 spike-specific CD4+ and CD8+ T cells induced by prior infection or BNT162b2 vaccination provide extensive immune coverage against B.1.1.529. The median relative frequencies of SARS-CoV-2 spike-specific CD4+ T cells that cross-recognized B.1.1.529 in previously infected or BNT162b2-vaccinated individuals were 84% and 91%, respectively, and the corresponding median relative frequencies for SARS-CoV-2 spike-specific CD8+ T cells were 70% and 92%, respectively. Pairwise comparisons across groups further revealed that SARS-CoV-2 spike-reactive CD4+ and CD8+ T cells were functionally and phenotypically similar in response to the ancestral strain or B.1.1.529. Collectively, our data indicate that established SARS-CoV-2 spike-specific CD4+ and CD8+ T cell responses, especially after BNT162b2 vaccination, remain largely intact against B.1.1.529.
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Grifoni, A., Weiskopf, D., Ramirez, S. I., Mateus, J., Dan, J. M., Moderbacher, C. R., Rawlings, S. A., Sutherland, A., Premkumar, L., Jadi, R. S., et al. (2020) · Cell · doi:10.1016/j.cell.2020.05.015 · Cited by 3,595
Self-citationSARS-CoV-2-specific T cell immunity in cases of COVID-19 and SARS, and uninfected controls
Le Bert, N., Tan, A. T., Kunasegaran, K., Tham, C. Y. L., Hafezi, M., Chia, A., Chng, M. H. Y., Lin, M., Tan, N., Linster, M., et al. (2020) · Nature · doi:10.1038/s41586-020-2550-z · Cited by 1,887
Rydyznski Moderbacher, C., Ramirez, S. I., Dan, J. M., Grifoni, A., Hastie, K. M., Weiskopf, D., Belanger, S., Abbott, R. K., Kim, C., Choi, J., et al. (2020) · Cell · doi:10.1016/j.cell.2020.09.038 · Cited by 1,790
Self-citationRobust T Cell Immunity in Convalescent Individuals with Asymptomatic or Mild COVID-19
Sekine, T., Perez-Potti, A., Rivera-Ballesteros, O., Strålin, K., Gorin, J.-B., Olsson, A., Llewellyn-Lacey, S., Kamal, H., Bogdanovic, G., Muschiol, S., et al. (2020) · Cell · doi:10.1016/j.cell.2020.08.017 · Cited by 1,788
Self-citationSARS-CoV-2-reactive T cells in healthy donors and patients with COVID-19
Braun, J., Loyal, L., Frentsch, M., Wendisch, D., Georg, P., Kurth, F., Hippenstiel, S., Dingeldey, M., Kruse, B., Fauchere, F., et al. (2020) · Nature · doi:10.1038/s41586-020-2598-9 · Cited by 1,310
Striking antibody evasion manifested by the Omicron variant of SARS-CoV-2
Liu, L., Iketani, S., Guo, Y., Chan, J. F.-W., Wang, M., Liu, L., Luo, Y., Chu, H., Huang, Y., Nair, M. S., et al. (2022) · Nature · doi:10.1038/s41586-021-04388-0 · Cited by 1,290
Peng, Y., Mentzer, A. J., Liu, G., Yao, X., Yin, Z., Dong, D., Dejnirattisai, W., Rostron, T., Supasa, P., Liu, C., et al. (2020) · Nature Immunology · doi:10.1038/s41590-020-0782-6 · Cited by 1,179
Altered TMPRSS2 usage by SARS-CoV-2 Omicron impacts infectivity and fusogenicity
Meng, B., Abdullahi, A., Ferreira, I. A. T. M., Goonawardane, N., Saito, A., Kimura, I., Yamasoba, D., Gerber, P. P., Fatihi, S., Rathore, S., et al. (2022) · Nature · doi:10.1038/s41586-022-04474-x · Cited by 1,146
Broadly neutralizing antibodies overcome SARS-CoV-2 Omicron antigenic shift
Cameroni, E., Bowen, J. E., Rosen, L. E., Saliba, C., Zepeda, S. K., Culap, K., Pinto, D., VanBlargan, L. A., De Marco, A., di Iulio, J., et al. (2022) · Nature · doi:10.1038/s41586-021-04386-2 · Cited by 1,080
Correlates of Protection Against SARS-CoV-2 in Rhesus Macaques
McMahan, K., Yu, J., Mercado, N. B., Loos, C., Tostanoski, L. H., Chandrashekar, A., Liu, J., Peter, L., Atyeo, C., Zhu, A., et al. (2021) · Nature · doi:10.1038/s41586-020-03041-6 · Cited by 1,068
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Markov, P. V., Ghafari, M., Beer, M., Lythgoe, K., Simmonds, P., Stilianakis, N. I., & Katzourakis, A. (2023) · Nature Reviews Microbiology · doi:10.1038/s41579-023-00878-2 · Cited by 1,179
Shrestha, L. B., Foster, C., Rawlinson, W., Tedla, N., & Bull, R. A. (2022) · Reviews in Medical Virology · doi:10.1002/rmv.2381 · Cited by 474
Divergent SARS-CoV-2 Omicron–reactive T and B cell responses in COVID-19 vaccine recipients
GeurtsvanKessel, C. H., Geers, D., Schmitz, K. S., Mykytyn, A. Z., Lamers, M. M., Bogers, S., Scherbeijn, S., Gommers, L., Sablerolles, R. S. G., Nieuwkoop, N. N., et al. (2022) · Science Immunology · doi:10.1126/sciimmunol.abo2202 · Cited by 420
Self-citationBuchan, S. A., Chung, H., Brown, K. A., Austin, P. C., Fell, D. B., Gubbay, J. B., Nasreen, S., Schwartz, K. L., Sundaram, M. E., Tadrous, M., et al. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.32760 · Cited by 356
Metadata
- Authors
- Gao, Y., Cai, C., Grifoni, A., Müller, T. R., Niessl, J., Olofsson, A., Humbert, M., Hansson, L., Österborg, A., Bergman, P., Chen, P., Olsson, A., Sandberg, J. K., Weiskopf, D., Price, D. A., Ljunggren, H.-G., Karlsson, A. C., Sette, A., Aleman, S., & Buggert, M.
- Venue
- Nature Medicine
- Published
- 2022-01-14
- Volume
- 28
- Issue
- 3
- Pages
- 472-476
- ISSN
- 1078-8956 (ISSN-L)
- 1546-170X
- OpenAlex
- W4206774638
- Cited by
- 403
- References
- 23
- FWCI
- 44.00
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Gao, Y., Cai, C., Grifoni, A., Müller, T. R., Niessl, J., Olofsson, A., Humbert, M., Hansson, L., Österborg, A., Bergman, P., Chen, P., Olsson, A., Sandberg, J. K., Weiskopf, D., Price, D. A., Ljunggren, H.-G., Karlsson, A. C., Sette, A., Aleman, S., & Buggert, M. (2022). Ancestral SARS-CoV-2-specific T cells cross-recognize the Omicron variant. Nature Medicine. https://doi.org/10.1038/s41591-022-01700-x
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