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Cross-reactive memory T cells and herd immunity to SARS-CoV-2
Open accessAbstract
Immunity is a multifaceted phenomenon. For T cell-mediated memory responses to SARS-CoV-2, it is relevant to consider their impact both on COVID-19 disease severity and on viral spread in a population. Here, we reflect on the immunological and epidemiological aspects and implications of pre-existing cross-reactive immune memory to SARS-CoV-2, which largely originates from previous exposure to circulating common cold coronaviruses. We propose four immunological scenarios for the impact of cross-reactive CD4+ memory T cells on COVID-19 severity and viral transmission. For each scenario, we discuss its implications for the dynamics of herd immunity and on projections of the global impact of SARS-CoV-2 on the human population, and assess its plausibility. In sum, we argue that key potential impacts of cross-reactive T cell memory are already incorporated into epidemiological models based on data of transmission dynamics, particularly with regard to their implications for herd immunity. The implications of immunological processes on other aspects of SARS-CoV-2 epidemiology are worthy of future study.
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“lymphocytes from 20% to 50% of unexposed donors display significant reactivity to SARS-CoV-2 Ag peptide pools (Figure 6).”
From Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition) (2021) · cites this paper as [111]
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“This cross-reactivity largely originates from previous exposure to circulating common cold coronaviruses [110-116].”
From Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition) (2021) · cites this paper as [111]
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“It is possible that cross-protection via adaptive immune responses against endemic coronaviruses might be in part responsible for mild disease courses in younger individuals (Lipsitch et al., 2020).”
From COVID-19 and the human innate immune system (2021) · cites this paper as Lipsitch et al., 2020
In the citing paper
“at least some individuals are low or negative to commercial IgG assays, while retaining detectable SARS-CoV-2 CD4+ T cells. Current estimates are these individuals represent 1%–10% of PCR-confirmed SARS-CoV-2 infections (Gudbjartsson et al., 2020; Lipsitch et al., 2020; Nelde et al., 2021; Schwarzkopf et al., 2021; Sekine et al., 2020).”
From Adaptive immunity to SARS-CoV-2 and COVID-19 (2021) · cites this paper as Lipsitch et al., 2020
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Meijer, L., Nelson, D. J., Riazanski, V., Gabdoulkhakova, A. G., Héry-Arnaud, G., Berre, R. L., Loaëc, N., Oumata, N., Galons, H., Nowak, E., et al. (2016) · Journal of Innate Immunity · doi:10.1159/000444256 · Cited by 5,008
Temporal dynamics in viral shedding and transmissibility of COVID-19
He, X., Lau, E. H. Y., Wu, P., Deng, X., Wang, J., Hao, X., Lau, Y. C., Wong, J. Y., Guan, Y., Tan, X., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0869-5 · Cited by 4,300
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-citationClinical and immunological assessment of asymptomatic SARS-CoV-2 infections
Long, Q.-X., Tang, X.-J., Shi, Q.-L., Li, Q., Deng, H.-J., Yuan, J., Hu, J.-L., Xu, W., Zhang, Y., Lv, F.-J., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0965-6 · Cited by 2,686
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
Self-citationSuperspreading and the effect of individual variation on disease emergence
Lloyd-Smith, J. O., Schreiber, S. J., Kopp, P. E., & Getz, W. M. (2005) · Nature · doi:10.1038/nature04153 · Cited by 2,514
SARS-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
A serological assay to detect SARS-CoV-2 seroconversion in humans
Amanat, F., Stadlbauer, D., Strohmeier, S., Nguyen, T. H. O., Chromikova, V., McMahon, M., Jiang, K., Arunkumar, G. A., Jurczyszak, D., Polanco, J., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0913-5 · Cited by 1,769
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Sette, A., & Crotty, S. (2021) · Cell · doi:10.1016/j.cell.2021.01.007 · Cited by 1,860
Self-citationChen, R. E., Zhang, X., Case, J. B., Winkler, E. S., Liu, Y., VanBlargan, L. A., Liu, J., Errico, J. M., Xie, X., Suryadevara, N., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01294-w · Cited by 881
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Schultze, J. L., & Aschenbrenner, A. C. (2021) · Cell · doi:10.1016/j.cell.2021.02.029 · Cited by 714
“It is possible that cross-protection via adaptive immune responses against endemic coronaviruses might be in part responsible for mild disease courses in younger individuals (Lipsitch et al., 2020).”
BackgroundTarke, A., Sidney, J., Methot, N., Yu, E. D., Zhang, Y., Dan, J. M., Goodwin, B., Rubiro, P., Sutherland, A., Wang, E., et al. (2021) · Cell Reports Medicine · doi:10.1016/j.xcrm.2021.100355 · Cited by 706
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Sadarangani, M., Marchant, A., & Kollmann, T. R. (2021) · Nature Reviews Immunology · doi:10.1038/s41577-021-00578-z · Cited by 560
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Cossarizza, A., Chang, H., Radbruch, A., Abrignani, S., Addo, R., Akdis, M., Andrä, I., Andreata, F., Annunziato, F., Arranz, E., et al. (2021) · European Journal of Immunology · doi:10.1002/eji.202170126 · Cited by 531
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Tali, S. H. S., LeBlanc, J. J., Sadiq, Z., Oyewunmi, O. D., Camargo, C., Nikpour, B., Armanfard, N., Sagan, S. M., & Jahanshahi‐Anbuhi, S. (2021) · Clinical Microbiology Reviews · doi:10.1128/cmr.00228-20 · Cited by 430
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SARS-CoV-2 human T cell epitopes: Adaptive immune response against COVID-19
Grifoni, A., Sidney, J., Vita, R., Peters, B., Crotty, S., Weiskopf, D., & Sette, A. (2021) · Cell Host & Microbe · doi:10.1016/j.chom.2021.05.010 · Cited by 314
Self-citationT cell response to SARS-CoV-2 infection in humans: A systematic review
Shrotri, M., van Schalkwyk, M. C., Post, N., Eddy, D., Huntley, C., Leeman, D., Rigby, S., Williams, S. V., Bermingham, W. H., Kellam, P., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0245532 · Cited by 352
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(2021) · doi:10.1126/science.abj9853 · Cited by 327
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Loyal, L., Braun, J., Henze, L., Kruse, B., Dingeldey, M., Reimer, U., Kern, F., Schwarz, T., Mangold, M., Unger, C., et al. (2021) · Science · doi:10.1126/science.abh1823 · Cited by 293
Lumley, S., Wei, J., O’Donnell, D., Stoesser, N. E., Matthews, P. C., Howarth, A., Hatch, S. B., Marsden, B. D., Cox, S., James, T. J., et al. (2021) · Clinical Infectious Diseases · doi:10.1093/cid/ciab004 · Cited by 281
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Sette, A., & Crotty, S. (2022) · Immunological Reviews · doi:10.1111/imr.13089 · Cited by 270
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Overview of the Main Anti-SARS-CoV-2 Vaccines: Mechanism of Action, Efficacy and Safety
Mascellino, M. T., Timoteo, F. D., Angelis, M. D., & Oliva, A. (2021) · Infection and Drug Resistance · doi:10.2147/idr.s315727 · Cited by 265
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Augusto, D. G., Murdolo, L. D., Chatzileontiadou, D. S. M., Sabatino, J. J., Yusufali, T., Peyser, N. D., Butcher, X., Kizer, K., Guthrie, K., Murray, V., et al. (2023) · Nature · doi:10.1038/s41586-023-06331-x · Cited by 232
Wilk, A. J., Lee, M. J., Wei, B., Parks, B. E., Pi, R., Martínez-Colón, G. J., Ranganath, T., Zhao, N. Q., Taylor, S., Becker, W. R., et al. (2021) · The Journal of Experimental Medicine · doi:10.1084/jem.20210582 · Cited by 214
Activation or exhaustion of CD8+ T cells in patients with COVID-19
Rha, M., & Shin, E. (2021) · Cellular and Molecular Immunology · doi:10.1038/s41423-021-00750-4 · Cited by 201
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Sette, A., Sidney, J., & Crotty, S. (2023) · Annual Review of Immunology · doi:10.1146/annurev-immunol-101721-061120 · Cited by 191
Self-citationRiou, C., Bruyn, E. D., Stek, C. J., Daroowala, R., Goliath, R. T., Abrahams, F., Said-Hartley, Q., Allwood, B., Hsiao, M., Wilkinson, K. A., et al. (2021) · Journal of Clinical Investigation · doi:10.1172/jci149125 · Cited by 207
Self-citationImmune signatures underlying post-acute COVID-19 lung sequelae
Cheon, I. S., Li, C., Son, Y. M., Goplen, N., Wu, Y., Cassmann, T. J., Wang, Z., Wei, X., Tang, J., Li, Y., et al. (2021) · Science Immunology · doi:10.1126/sciimmunol.abk1741 · Cited by 169
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Cagigi, A., & Loré, K. (2021) · Vaccines · doi:10.3390/vaccines9010061 · Cited by 153
Kent, S. J., Khoury, D. S., Reynaldi, A., Juno, J. A., Wheatley, A. K., Stadler, E., John Wherry, E., Triccas, J., Sasson, S. C., Cromer, D., et al. (2022) · Nature Reviews Immunology · doi:10.1038/s41577-022-00716-1 · Cited by 139
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Tian, Y., Carpp, L. N., Miller, H. E. R., Zager, M. A., Newell, E. W., & Gottardo, R. (2021) · Nature Biotechnology · doi:10.1038/s41587-021-01131-y · Cited by 114
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Zsichla, L., & Müller, V. (2023) · Viruses · doi:10.3390/v15010175 · Cited by 121
DiPiazza, A. T., Leist, S. R., Abiona, O. M., Moliva, J. I., Werner, A. P., Minai, M., Nagata, B. M., Bock, K. W., Phung, E., Schäfer, A., et al. (2021) · Immunity · doi:10.1016/j.immuni.2021.06.018 · Cited by 92
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Sholukh, A. M., Fiore-Gartland, A. J., Ford, E. S., Miner, M. D., Hou, Y. J., Tse, L. V., Kaiser, H., Zhu, H., Lu, J., Madarampalli, B., et al. (2021) · Journal of Clinical Microbiology · doi:10.1128/jcm.00527-21 · Cited by 119
Wyllie, D., Jones, H. E., Mulchandani, R., Trickey, A., Taylor-Phillips, S., Brooks, T., Charlett, A., Ades, A., EDSAB-HOME investigators, Moore, P., et al. (2020) · doi:10.1101/2020.11.02.20222778 · Cited by 96
Niessl, J., Sekine, T., Lange, J., Kónya, V., Forkel, M., Marić, J., Rao, A., Mazzurana, L., Kokkinou, E., Weigel, W., et al. (2021) · Science Immunology · doi:10.1126/sciimmunol.abk0894 · Cited by 94
Ssemaganda, A., Nguyen, H. M., Nuhu, F., Jahan, N., Card, C. M., Kiazyk, S. A. K., Severini, G., Keynan, Y., Su, R., Ji, H., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-30913-4 · Cited by 76
Kaur, U., Ojha, B., Pathak, B. K., Singh, A. K., Giri, K. R., Singh, A. K., Das, A., Misra, A., Yadav, A. K., Kansal, S., et al. (2021) · EClinicalMedicine · doi:10.1016/j.eclinm.2021.101038 · Cited by 78
Antunes, R. D. S., Pallikkuth, S., Williams, E., Yu, E. D., Mateus, J., Quiambao, L. G., Wang, E. W., Rawlings, S. A., Stadlbauer, D., Jiang, K., et al. (2021) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiab176 · Cited by 70
Self-citationNiessl, J., Sekine, T., & Buggert, M. (2021) · Seminars in Immunology · doi:10.1016/j.smim.2021.101505 · Cited by 77
Bertoletti, A., Tan, A. T., & Bert, N. L. (2021) · Oxford Open Immunology · doi:10.1093/oxfimm/iqab006 · Cited by 69
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Havervall, S., Ng, H., Falk, A. J., Greilert‐Norin, N., Månberg, A., Marking, U. W., Laurén, I., Gabrielsson, L., Salomonsson, A., Aguilera, K., et al. (2021) · Journal of Internal Medicine · doi:10.1111/joim.13387 · Cited by 63
Shrwani, K. J., Sharma, R. S., Krishnan, M., Jones, T., Neto, M. M., Cantoni, D. M., Temperton, N. J., Dobson, S. L., Subramaniam, K. S., McNamara, P. S., et al. (2021) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiab333 · Cited by 58
Bartolo, L., Afroz, S., Pan, Y., Xu, R., Williams, L., Lin, C.-F., Tanes, C., Bittinger, K. L., Friedman, E. S., Gimotty, P. A., et al. (2022) · Science Immunology · doi:10.1126/sciimmunol.abn3127 · Cited by 55
Stražar, M., Park, J., Abelin, J. G., Taylor, H. B., Pedersen, T. K., Plichta, D. R., Brown, E., Eraslan, B., Hung, Y.-M., Ortiz, K., et al. (2023) · Immunity · doi:10.1016/j.immuni.2023.05.009 · Cited by 56
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Whitcombe, A. L., McGregor, R., Craigie, A., James, A., Charlewood, R., Lorenz, N., Dickson, J. M. J. J., Sheen, C. R., Koch, B., Fox‐Lewis, S., et al. (2021) · Clinical & Translational Immunology · doi:10.1002/cti2.1261 · Cited by 52
Mahajan, S., Kode, V., Bhojak, K., Coral, K., Lee, K. M., Manoharan, M., Ramesh, A., Sudheendra, H., Srivastava, A., Sathian, R., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-92521-4 · Cited by 54
Nel, A. E., & Miller, J. F. (2021) · ACS Nano · doi:10.1021/acsnano.1c01845 · Cited by 50
Ansari, A., Arya, R. K., Sachan, S., Jha, S. N., Kalia, A., Lall, A., Sette, A., Grifoni, A., Weiskopf, D., Coshic, P., et al. (2021) · Frontiers in Immunology · doi:10.3389/fimmu.2021.636768 · Cited by 50
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Echeverría, G. A., Guevara, A. G., Coloma, J., Ruiz, A. M., Vasquez, M. M., Tejera, E., & de Waard, J. H. (2021) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2021.02.034 · Cited by 49
McNaughton, A. L., Paton, R. S., Edmans, M. D., Youngs, J., Wellens, J., Phalora, P. K., Fyfe, A. J., Belij‐Rammerstorfer, S., Bolton, J. S., Ball, J., et al. (2022) · JCI Insight · doi:10.1172/jci.insight.156372 · Cited by 46
Saggau, C., Martini, G. R., Rosati, E., Meise, S., Messner, B., Kamps, A.-K., Bekel, N., Gigla, J. B., Rose, R., Voß, M., et al. (2022) · Immunity · doi:10.1016/j.immuni.2022.08.003 · Cited by 42
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Morris, D. H. (2021) · OSF Preprints (OSF Preprints) · Cited by 52
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Morris, D. H., Rossine, F. W., Plotkin, J. B., & Levin, S. (2020) · doi:10.31219/osf.io/9gr7q · Cited by 41
Charland, N., Gobeil, P., Pillet, S., Boulay, I., Séguin, A., Makarkov, A. I., Heizer, G., Bhutada, K., Mahmood, A., Trépanier, S., et al. (2022) · npj Vaccines · doi:10.1038/s41541-022-00561-2 · Cited by 73
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Tarke, A., Zhang, Y., Methot, N., Narowski, T. M., Phillips, E. J., Mallal, S. A., Frazier, A., Filaci, G., Weiskopf, D., Dan, J. M., et al. (2023) · Cell Reports Medicine · doi:10.1016/j.xcrm.2023.101088 · Cited by 39
Self-citationNanomedicine: A Diagnostic and Therapeutic Approach to COVID-19
Sharma, A., Kontodimas, K., & Bosmann, M. (2021) · Frontiers in Medicine · doi:10.3389/fmed.2021.648005 · Cited by 39
Alefishat, E. A., Jelinek, H. F., Mousa, M., Tay, G. K., & AlSafar, H. S. (2022) · Journal of Infection and Public Health · doi:10.1016/j.jiph.2022.01.007 · Cited by 39
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Giannotta, G., & Giannotta, N. (2021) · Vaccines · doi:10.3390/vaccines9121503 · Cited by 33
Becerra‐Artiles, A., Calvo‐Calle, J. M., Co, M. D. T., Nanaware, P. P., Cruz, J., Weaver, G. C., Lu, L., Forconi, C. S., Finberg, R. W., Moormann, A. M., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110952 · Cited by 36
Dyrdak, R., Hodcroft, E. B., Wahlund, M., Neher, R. A., & Albert, J. (2021) · Journal of Clinical Virology · doi:10.1016/j.jcv.2021.104754 · Cited by 34
Nesterenko, P. A., McLaughlin, J., Tsai, B. L., Sojo, G. B., Cheng, D., Zhao, D. Y., Mao, Z., Bangayan, N. J., Obusan, M. B., Su, Y., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.110167 · Cited by 33
Zhou, R., To, K. K., Peng, Q., Chan, J. M., Huang, H., Yang, D., Lam, B. H. S., Chuang, V. W., Cai, J., Liu, N., et al. (2022) · Clinical and Translational Medicine · doi:10.1002/ctm2.720 · Cited by 33
Gouma, S., Weirick, M. E., Bolton, M. J., Arevalo, C. P., Goodwin, E. C., Anderson, E. M., McAllister, C. M., Christensen, S. R., Dunbar, D., Fiore, D., et al. (2021) · JCI Insight · doi:10.1172/jci.insight.150449 · Cited by 30
Russo, G. L., Salvatore, V. D., Sgroi, G., Palumbo, G. A. P., Reche, P. A., & Pappalardo, F. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbab403 · Cited by 34
Johansson, A. M., Malhotra, U., Kim, Y. G., Gomez, R., Krist, M. P., Wald, A., Koelle, D. M., & Kwok, W. W. (2021) · PLoS Pathogens · doi:10.1371/journal.ppat.1010203 · Cited by 35
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Lea, A. J., García, A. R., Arevalo, J. M. G., Ayroles, J. F., Buetow, K. H., Cole, S. W., Rodríguez, D. E., Cayuba, M. G., Highland, H. M., Hooper, P. L., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2207544120 · Cited by 29
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Milleliri, J., Coulibaly, D., Nyobe, B., Rey, J., Lamontagne, F., Hocqueloux, L., Giachè, S., Valéry, A., & Prazuck, T. (2021) · American Journal of Tropical Medicine and Hygiene · doi:10.4269/ajtmh.21-0081 · Cited by 28
Quiros‐Fernandez, I., Poorebrahim, M., Fakhr, E., & Arregui, A. C. (2021) · EBioMedicine · doi:10.1016/j.ebiom.2021.103610 · Cited by 32
Jia, L., Weng, S., Wu, J., Tian, X., Zhang, Y., Wang, X., Wang, J., Yan, D., Wang, W., Fang, F., et al. (2022) · Gut Microbes · doi:10.1080/19490976.2022.2117503 · Cited by 28
Ciucci, T., Vacchio, M. S., Chen, T., Nie, J., Chopp, L. B., McGavern, D. B., Kelly, M. C., & Bosselut, R. (2021) · The Journal of Experimental Medicine · doi:10.1084/jem.20202343 · Cited by 26
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Meyerholz, D. K., & Perlman, S. M. (2020) · Journal of Clinical Investigation · doi:10.1172/jci144807 · Cited by 22
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Schouest, B., Grifoni, A., Pham, J. W., Mateus, J., Sydney, J., Brien, J. D., Silva, A. D. D., Balmaseda, Á., Harris, E., Sette, A., et al. (2021) · Journal of Virology · doi:10.1128/jvi.00132-21 · Cited by 26
Self-citationPallikkuth, S., Williams, E., Pahwa, R., Hoffer, M. E., & Pahwa, S. G. (2021) · Vaccine · doi:10.1016/j.vaccine.2021.08.092 · Cited by 25
Jaago, M., Rähni, A., Pupina, N., Pihlak, A., Sadam, H., Tuvikene, J., Avarlaid, A., Planken, A., Planken, M., Haring, L., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-20849-6 · Cited by 23
Pinotti, F., Wikramaratna, P. S., Obolski, U., Paton, R. S., Damineli, D. S. C., Alcântara, L. C. J., Giovanetti, M., Gupta, S., & Lourenço, J. (2021) · BMC Medicine · doi:10.1186/s12916-020-01887-1 · Cited by 19
Jo, N., Zhang, R., Ueno, H., Yamamoto, T., Weiskopf, D., Nagao, M., Yamanaka, S., & Hamazaki, Y. (2021) · Frontiers in Aging · doi:10.3389/fragi.2021.719342 · Cited by 20
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Coulon, P.-G. A., Prakash, S., Dhanushkodi, N. R., Srivastava, R., Zayou, L., Tifrea, D. F., Edwards, R. A., Figueroa, C. J., Schubl, S. D., Hsieh, L. L., et al. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1343716 · Cited by 20
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Ng, K. W., Faulkner, N., Wrobel, A. G., Gamblin, S. J., & Kassiotis, G. (2021) · Seminars in Immunology · doi:10.1016/j.smim.2021.101507 · Cited by 19
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Козлов, В. А., Tikhonova, E. P., Савченко, А. А., Кудрявцев, И. В., Андронова, Н. В., Николаевна, А. Е., Головкин, А. С., Демина, Д. В., Здзитовецкий, Д. Э., Калинина, Ю. С., et al. (2021) · doi:10.17513/np.518 · Cited by 20
Peter, L., Wendering, D. J., Schlickeiser, S., Hoffmann, H., Noster, R., Wagner, D. L., Zarrinrad, G., Münch, S., Picht, S., Schulenberg, S., et al. (2022) · Molecular Therapy — Methods & Clinical Development · doi:10.1016/j.omtm.2022.02.012 · Cited by 19
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Sun, Y., Zou, Y., Wang, H., Cui, G., Yu, Z., & Ren, Z. (2022) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2022.988604 · Cited by 20
Wang, C., Yang, S., Duan, L., Du, X., Tao, J., Wang, Y., Yang, J., Lv, Y., Li, J., Zhang, C., et al. (2022) · Virology Journal · doi:10.1186/s12985-022-01957-1 · Cited by 19
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Yang, Y., Miller, H. I., Byazrova, M. G., Cndotti, F., Benlagha, K., Câmara, N. O. S., Shi, J., Forsman, H. F., Lee, P. P. W., Yang, L., et al. (2023) · Emerging Microbes & Infections · doi:10.1080/22221751.2023.2287118 · Cited by 21
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Herrmann, H. A., & Schwartz, J. (2021) · Scientific Reports · doi:10.1038/s41598-021-03167-1 · Cited by 21
Wong, L.-Y. R., Zheng, J. H., Sariol, A., Lowery, S. A., Meyerholz, D. K., Gallagher, T., & Perlman, S. M. (2021) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2102983118 · Cited by 24
Hsieh, L., Grifoni, A., Sidney, J., Shimizu, C., Shike, H., Ramchandar, N., Moreno, E., Tremoulet, A. H., Burns, J. C., & Franco, A. (2021) · European Journal of Immunology · doi:10.1002/eji.202149556 · Cited by 18
Peluso, M. J., Donatelli, J. L., & Henrich, T. J. (2021) · Translational research · doi:10.1016/j.trsl.2021.11.006 · Cited by 18
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Ansari, A., Sachan, S., Jit, B. P., Sharma, A. K., Coshic, P., Sette, A., Weiskopf, D., & Gupta, N. (2022) · Cell Reports Methods · doi:10.1016/j.crmeth.2022.100224 · Cited by 19
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Kockelbergh, H., Evans, S. C., Deng, T., Clyne, E., Kyriakidou, A., Economou, A., Hoang, K. N. L., Woodmansey, S., Foers, A. D., Fowler, A., et al. (2022) · Diagnostics · doi:10.3390/diagnostics12051222 · Cited by 19
Fujii, S., Yamasaki, S., Iyoda, T., & Shimizu, K. (2022) · Inflammation and Regeneration · doi:10.1186/s41232-022-00239-1 · Cited by 18
Metadata
- Authors
- Lipsitch, M., Grad, Y. H., Sette, A., & Crotty, S.
- Affiliations
- Harvard University (US)
- La Jolla Institute for Immunology (US)
- Corresponding author
- Lipsitch, Marc
- Grad, Yonatan H.
- Sette, Alessandro
- Crotty, Shane
- Venue
- Nature Reviews Immunology
- Published
- 2020-10-06
- Volume
- 20
- Issue
- 11
- Pages
- 709-713
- ISSN
- 1474-1733 (ISSN-L)
- 1474-1741
- PMC
- PMC7537578
- OpenAlex
- W3091791643
- Cited by
- 260
- References
- 48
- Citations by year
- 2026: 10 · 2025: 12 · 2024: 12 · 2023: 29 · 2022: 59 · 2021: 129 · 2020: 9
- FWCI
- 2.67
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Nature reviews. Immunology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (75N9301900065)
- National Institute of Allergy and Infectious Diseases (U19 AI42742, 75N9301900065, AI42742, U19AI142742)
- Topics
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Life Sciences › Immunology and Microbiology › Immunology › Immune responses and vaccinations
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Keywords
- SARS-CoV-2, cross-reactive T cells, memory CD4+ T cells, herd immunity threshold, COVID-19 severity, common cold coronaviruses, pre-existing immunity, virus transmission, epidemic modeling, COVID-19 pandemic
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, COVID-19 Vaccines, Antibodies, Viral, Coronaviridae, Coronaviridae Infections, Cross Reactions, Humans, Immunologic Memory, Pneumonia, Viral, Rhinovirus, Viral Vaccines, CD4-Positive T-Lymphocytes, Coronavirus Infections, Immunity, Herd, Adaptive Immunity, Pandemics
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