The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.
COVID-19-neutralizing antibodies predict disease severity and survival
Open accessPublished version of a preprint
Abstract
SUMMARY COVID-19 exhibits variable symptom severity ranging from asymptomatic to life-threatening, yet the relationship between severity and the humoral immune response is poorly understood. We examined antibody responses in 113 COVID-19 patients and found that severe cases resulting in intubation or death exhibited increased inflammatory markers, lymphopenia, pro-inflammatory cytokines, and high anti-RBD antibody levels. While anti-RBD IgG levels generally correlated with neutralization titer, quantitation of neutralization potency revealed that high potency was a predictor of survival. In addition to neutralization of wild-type SARS-CoV-2, patient sera were also able to neutralize the recently emerged SARS-CoV-2 mutant D614G, suggesting cross-protection from reinfection by either strain. However, SARS-CoV-2 sera generally lacked cross-neutralization to a highly-homologous pre-emergent bat coronavirus, WIV1-CoV, that has not yet crossed the species barrier. These results highlight the importance of neutralizing humoral immunity on disease progression and the need to develop broadly protective interventions to prevent future coronavirus pandemics.
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Chen, N., Zhou, M., Dong, X., Qu, J., Gong, F., Han, Y., Qiu, Y., Wang, J., Liu, Y., Wei, Y., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30211-7 · Cited by 21,415
Dexamethasone in Hospitalized Patients with Covid-19
The RECOVERY Collaborative Group (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2021436 · Cited by 11,477
Remdesivir for the Treatment of Covid-19 — Final Report
Beigel, J. H., Tomashek, K. M., Dodd, L. E., Mehta, A. K., Zingman, B. S., Kalil, A. C., Hohmann, E., Chu, H. Y., Luetkemeyer, A., Kline, S., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2007764 · Cited by 7,267
Wang, M., Cao, R., Zhang, L., Yang, X., Liu, J., Xu, M., Shi, Z., Hu, Z., Zhong, W., & Xiao, G. (2020) · Cell Research · doi:10.1038/s41422-020-0282-0 · Cited by 6,958
Korber, B., Fischer, W. M., Gnanakaran, S., Yoon, H., Theiler, J., Abfalterer, W., Hengartner, N., Giorgi, E. E., Bhattacharya, T., Foley, B., et al. (2020) · Cell · doi:10.1016/j.cell.2020.06.043 · Cited by 4,281
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
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
Wynants, L., Van Calster, B., Bonten, M. M., Collins, G. S., Debray, T. P., De Vos, M., Haller, M. C., Heinze, G., Moons, K. G., Riley, R. D., et al. (2020) · doi:10.1101/2020.03.24.20041020 · Cited by 3,070
Construction of improved M13 vectors using oligodeoxynucleotide-directed mutagenesis
Norrander, J., Kempe, T., & Messing, J. (1983) · Gene · doi:10.1016/0378-1119(83)90040-9 · Cited by 2,497
Cross-neutralization of SARS-CoV-2 by a human monoclonal SARS-CoV antibody
Pinto, D., Park, Y.-J., Beltramello, M., Walls, A. C., Tortorici, M. A., Bianchi, S., Jaconi, S., Culap, K., Zatta, F., De Marco, A., et al. (2020) · Nature · doi:10.1038/s41586-020-2349-y · Cited by 1,885
Research works printed but not linked: 4
- Du, 2010, Development of a safe and convenient neutralization assay for rapid screening of influenza HA-specific neutralizing monoclonal antibodies, Biochem. Biophys. Res. Commun., 397, 580, 10.1016/j.bbrc.2010.05.161 · doi:10.1016/j.bbrc.2010.05.161
- Mulligan, 2020, Phase I/II study of COVID-19 RNA vaccine BNT162b1 in adults, Nature, 586, 589, 10.1038/s41586-020-2639-4 · doi:10.1038/s41586-020-2639-4 · Paper page
- Ujike, 2016, The contribution of the cytoplasmic retrieval signal of severe acute respiratory syndrome coronavirus to intracellular accumulation of S proteins and incorporation of S protein into virus-like particles, J. Gen. Virol., 97, 1853, 10.1099/jgv.0.000494 · doi:10.1099/jgv.0.000494
- Zhou, 2020, SARS-CoV-2 Spike D614G Variant Confers Enhanced Replication and Transmissibility, bioRxiv
Cited by
Multiple SARS-CoV-2 variants escape neutralization by vaccine-induced humoral immunity
Garcia-Beltran, W. F., Lam, E. C., St. Denis, K., Nitido, A. D., Garcia, Z. H., Hauser, B. M., Feldman, J., Pavlovic, M. N., Gregory, D. J., Poznansky, M. C., et al. (2021) · Cell · doi:10.1016/j.cell.2021.03.013 · Cited by 1,353
Self-citationThe biological and clinical significance of emerging SARS-CoV-2 variants
Tao, K., Tzou, P. L., Nouhin, J., Gupta, R. K., de Oliveira, T., Kosakovsky Pond, S. L., Fera, D., & Shafer, R. W. (2021) · Nature Reviews Genetics · doi:10.1038/s41576-021-00408-x · Cited by 1,009
mRNA-based COVID-19 vaccine boosters induce neutralizing immunity against SARS-CoV-2 Omicron variant
Garcia-Beltran, W. F., St. Denis, K. J., Hoelzemer, A., Lam, E. C., Nitido, A. D., Sheehan, M. L., Berrios, C., Ofoman, O., Chang, C. C., Hauser, B. M., et al. (2022) · Cell · doi:10.1016/j.cell.2021.12.033 · Cited by 1,045
Self-citationDiverse functional autoantibodies in patients with COVID-19
Wang, E. Y., Mao, T., Klein, J., Dai, Y., Huck, J. D., Jaycox, J. R., Liu, F., Zhou, T., Israelow, B., Wong, P., et al. (2021) · Nature · doi:10.1038/s41586-021-03631-y · Cited by 992
Enhanced SARS-CoV-2 neutralization by dimeric IgA
Wang, Z., Lorenzi, J. C. C., Muecksch, F., Finkin, S., Viant, C., Gaebler, C., Cipolla, M., Hoffmann, H.-H., Oliveira, T. Y., Oren, D. A., et al. (2021) · Science Translational Medicine · doi:10.1126/scitranslmed.abf1555 · Cited by 475
Metadata
- Authors
- Garcia-Beltran, W. F., Lam, E. C., Astudillo, M. G., Yang, D., Miller, T. E., Feldman, J., Hauser, B. M., Caradonna, T. M., Clayton, K. L., Nitido, A. D., Murali, M. R., Alter, G., Charles, R. C., Dighe, A., Branda, J. A., Lennerz, J. K., Lingwood, D., Schmidt, A. G., Iafrate, A. J., & Balazs, A. B.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2021-01
- Volume
- 184
- Issue
- 2
- Pages
- 476-488.e11
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W3113228067
- Cited by
- 722
- References
- 78
- FWCI
- 17.17
- Type
- journal article
- Language
- en
- Open access
- bronze
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 385 d)
- Funders
- Massachusetts General Hospital
- Charles H. Hood Foundation
- Gilead Sciences
- National Institutes of Health
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- The paper
- Garcia-Beltran, W. F., Lam, E. C., Astudillo, M. G., Yang, D., Miller, T. E., Feldman, J., Hauser, B. M., Caradonna, T. M., Clayton, K. L., Nitido, A. D., Murali, M. R., Alter, G., Charles, R. C., Dighe, A., Branda, J. A., Lennerz, J. K., Lingwood, D., Schmidt, A. G., Iafrate, A. J., & Balazs, A. B. (2021). COVID-19-neutralizing antibodies predict disease severity and survival. Cell. https://doi.org/10.1016/j.cell.2020.12.015
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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