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Usage Information

Post-transfusion activation of coagulation pathways during severe COVID-19 correlates with COVID-19 convalescent plasma antibody profiles
Svenja Weiss, … , Raymond A. Alvarez, Benjamin K. Chen
Svenja Weiss, … , Raymond A. Alvarez, Benjamin K. Chen
Published March 17, 2025
Citation Information: J Clin Invest. 2025;135(6):e181136. https://doi.org/10.1172/JCI181136.
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Research Article Immunology

Post-transfusion activation of coagulation pathways during severe COVID-19 correlates with COVID-19 convalescent plasma antibody profiles

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Abstract

Early antibody therapy can prevent severe SARS-CoV-2 infection (COVID-19). However, the effectiveness of COVID-19 convalescent plasma (CCP) therapy in treating severe COVID-19 remains inconclusive. To test a hypothesis that some CCP units are associated with a coagulopathy hazard in severe disease that offsets its benefits, we tracked 304 CCP units administered to 414 hospitalized COVID-19 patients to assess their association with the onset of unfavorable post-transfusion D-dimer trends. CCP recipients with increasing or persistently elevated D-dimer trajectories after transfusion experienced higher mortality than those whose D-dimer levels were persistently low or decreasing after transfusion. Within the CCP donor-recipient network, recipients with increasing or persistently high D-dimer trajectories were skewed toward association with a minority of CCP units. In in vitro assays, CCP from “higher-risk” units had higher cross-reactivity with the spike protein of human seasonal betacoronavirus OC43. “Higher-risk” CCP units also mediated greater Fcγ receptor IIa signaling against cells expressing SARS-CoV-2 spike compared with “lower-risk” units. This study finds that post-transfusion activation of coagulation pathways during severe COVID-19 is associated with specific CCP antibody profiles and supports a potential mechanism of immune complex–activated coagulopathy.

Authors

Svenja Weiss, Hung-Mo Lin, Eric Acosta, Natalia L. Komarova, Ping Chen, Dominik Wodarz, Ian Baine, Ralf Duerr, Ania Wajnberg, Adrian Gervais, Paul Bastard, Jean-Laurent Casanova, Suzanne A. Arinsburg, Talia H. Swartz, Judith A. Aberg, Nicole M. Bouvier, Sean T.H. Liu, Raymond A. Alvarez, Benjamin K. Chen

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Usage data is cumulative from March 2025 through May 2025.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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