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Antibody responses to endemic coronaviruses modulate COVID-19 convalescent plasma functionality
William R. Morgenlander; Stephanie Henson; Daniel Monaco; Athena Chen; Kirsten Littlefield; Evan M. Bloch; Eric Fujimura; Ingo Ruczinski; Andrew R. Crowley; Harini Natarajan; Savannah E. Butler; Joshua A. Weiner; Mamie Z. Li; Tania S. Bonny; Sarah E. Benner; Ashwin Balagopal; David Sullivan; Shmuel Shoham; Thomas C. Quinn; Susan Eshleman; Arturo Casadevall; Andrew D. Redd; Oliver Laeyendecker; Margaret E. Ackerman; Andrew Pekosz; Stephen J. Elledge; Matthew Robinson; Aaron A. R. Tobian; H. Benjamin Larman.
Afiliación
  • William R. Morgenlander; Johns Hopkins University School of Medicine
  • Stephanie Henson; Johns Hopkins University School of Medicine
  • Daniel Monaco; Johns Hopkins University School of Medicine
  • Athena Chen; Johns Hopkins University Bloomberg School of Public Health
  • Kirsten Littlefield; Johns Hopkins University Bloomberg School of Public Health
  • Evan M. Bloch; Johns Hopkins University School of Medicine
  • Eric Fujimura; Harvard University Medical School
  • Ingo Ruczinski; Johns Hopkins University Bloomberg School of Public Health
  • Andrew R. Crowley; Geisel School of Medicine, Dartmouth College
  • Harini Natarajan; Geisel School of Medicine, Dartmouth College
  • Savannah E. Butler; Geisel School of Medicine, Dartmouth College
  • Joshua A. Weiner; Thayer School of Engineering, Dartmouth College
  • Mamie Z. Li; Harvard University Medical School
  • Tania S. Bonny; Johns Hopkins University School of Medicine
  • Sarah E. Benner; Johns Hopkins University School of Medicine
  • Ashwin Balagopal; Johns Hopkins University School of Medicine
  • David Sullivan; Johns Hopkins University School of Medicine
  • Shmuel Shoham; Johns Hopkins University School of Medicine
  • Thomas C. Quinn; Johns Hopkins University School of Medicine and NIAID
  • Susan Eshleman; Johns Hopkins University School of Medicine
  • Arturo Casadevall; Johns Hopkins University Bloomberg School of Public Health
  • Andrew D. Redd; NIAID
  • Oliver Laeyendecker; NIAID
  • Margaret E. Ackerman; Thayer School of Engineering, Dartmouth College
  • Andrew Pekosz; Johns Hopkins University Bloomberg School of Public Health
  • Stephen J. Elledge; Harvard University Medical School
  • Matthew Robinson; Johns Hopkins University School of Medicine
  • Aaron A. R. Tobian; Johns Hopkins University School of Medicine
  • H. Benjamin Larman; Johns Hopkins University School of Medicine
Preprint en En | PREPRINT-MEDRXIV | ID: ppmedrxiv-20248294
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ABSTRACT
COVID-19 convalescent plasma, particularly plasma with high-titer SARS-CoV-2 (CoV2) antibodies, has been successfully used for treatment of COVID-19. The functionality of convalescent plasma varies greatly, but the association of antibody epitope specificities with plasma functionality remains uncharacterized. We assessed antibody functionality and reactivities to peptides across the CoV2 and the four endemic human coronavirus (HCoV) genomes in 126 COVID-19 convalescent plasma donations. We found strong correlation between plasma functionality and polyclonal antibody targeting of CoV2 spike protein peptides. Antibody reactivity to many HCoV spike peptides also displayed strong correlation with plasma functionality, including pan-coronavirus cross-reactive epitopes located in a conserved region of the fusion peptide. After accounting for antibody cross-reactivity, we identified an association between greater alphacoronavirus NL63 antibody responses and development of highly neutralizing antibodies to SARS-CoV-2. We also found that plasma preferentially reactive to the CoV2 receptor binding domain (RBD), versus the betacoronavirus HKU1 RBD, had higher neutralizing titer. Finally, we developed a two-peptide serosignature that identifies plasma donations with high anti-S titer but that suffer from low neutralizing activity. These results suggest that analysis of coronavirus antibody fine specificities may be useful for selecting therapeutic plasma with desired functionalities.
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Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Rct Idioma: En Año: 2020 Tipo del documento: Preprint
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Rct Idioma: En Año: 2020 Tipo del documento: Preprint