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  4. Functional convalescent plasma antibodies and pre-infusion titers shape the early severe COVID-19 immune response

Functional convalescent plasma antibodies and pre-infusion titers shape the early severe COVID-19 immune response

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sword-2023-02-03T17:46:58.original.xml (130 B)
Original SWORD entry document
Author(s)
Herman, Jonathan D
•
Wang, Chuangqi
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Loos, Carolin
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Yoon, Hyunah
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Rivera, Johanna
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Eugenia Dieterle, M
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Haslwanter, Denise
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Jangra, Rohit K
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Bortz, Robert H
•
Bar, Katharine J
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Date Issued
2021
Journal
Nature Communications
Publisher
Springer Science and Business Media LLC
Citation
Herman, Jonathan D, Wang, Chuangqi, Loos, Carolin, Yoon, Hyunah, Rivera, Johanna et al. 2021. "Functional convalescent plasma antibodies and pre-infusion titers shape the early severe COVID-19 immune response." Nature Communications, 12 (1).
Version
Final published version
Abstract
AbstractTransfer of convalescent plasma (CP) had been proposed early during the SARS-CoV-2 pandemic as an accessible therapy, yet trial results worldwide have been mixed, potentially due to the heterogeneous nature of CP. Here we perform deep profiling of SARS-CoV-2-specific antibody titer, Fc-receptor binding, and Fc-mediated functional assays in CP units, as well as in plasma from hospitalized COVID-19 patients before and after CP administration. The profiling results show that, although all recipients exhibit expanded SARS-CoV-2-specific humoral immune responses, CP units contain more functional antibodies than recipient plasma. Meanwhile, CP functional profiles influence the evolution of recipient humoral immunity in conjuncture with the recipient’s pre-existing SARS-CoV2-specific antibody titers: CP-derived SARS-CoV-2 nucleocapsid-specific antibody functions are associated with muted humoral immune evolution in patients with high titer anti-spike IgG. Our data thus provide insights into the unexpected impact of CP-derived functional anti-spike and anti-nucleocapsid antibodies on the evolution of SARS-CoV-2-specific response following severe infection.
MIT Department
Massachusetts Institute of Technology. Department of Biological Engineering
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Creative Commons Attribution 4.0 International license
https://creativecommons.org/licenses/by/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/147864
DOI of Published Version
https://doi.org/10.1038/S41467-021-27201-Y
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