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Distinct receptor binding domain IgG thresholds predict protective host immunity across SARS-CoV-2 variants and time

Author

Listed:
  • Grace Kenny

    (University College Dublin)

  • Sophie O’Reilly

    (University College Dublin)

  • Neil Wrigley Kelly

    (St Vincent’s University Hospital
    Maynooth University)

  • Riya Negi

    (University College Dublin)

  • Colette Gaillard

    (University College Dublin)

  • Dana Alalwan

    (University College Dublin)

  • Gurvin Saini

    (University College Dublin)

  • Tamara Alrawahneh

    (University College Dublin)

  • Nathan Francois

    (University College Dublin)

  • Matthew Angeliadis

    (University College Dublin)

  • Alejandro Abner Garcia Leon

    (University College Dublin)

  • Willard Tinago

    (University College Dublin)

  • Eoin R. Feeney

    (University College Dublin
    St Vincent’s University Hospital)

  • Aoife G. Cotter

    (University College Dublin
    Mater Misericordiae University Hospital)

  • Eoghan Barra

    (Beaumont Hospital
    Royal College of Surgeons in Ireland)

  • Obada Yousif

    (Wexford General Hospital, Carricklawn)

  • Mary Horgan

    (Cork University Hospital)

  • Peter Doran

    (University College Dublin)

  • Jannik Stemler

    (University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Internal Medicine and University of Cologne, Faculty of Medicine Institute of Translational Research, Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD)
    Partner Site Bonn-Cologne Department Cologne)

  • Philipp Koehler

    (University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Internal Medicine and University of Cologne, Faculty of Medicine Institute of Translational Research, Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD)
    Partner Site Bonn-Cologne Department Cologne)

  • Rebecca Jane Cox

    (University of Bergen)

  • Donal O’Shea

    (St Vincent’s University Hospital)

  • Ole F. Olesen

    (European Vaccine Initiative)

  • Alan Landay

    (Rush University)

  • Andrew E. Hogan

    (Maynooth University
    National Children’s Research Centre)

  • Jean-Daniel Lelievre

    (Université Paris Est Créteil)

  • Virginie Gautier

    (University College Dublin)

  • Oliver A. Cornely

    (University of Cologne, Faculty of Medicine and University Hospital Cologne, Department of Internal Medicine and University of Cologne, Faculty of Medicine Institute of Translational Research, Cologne Excellence Cluster on Cellular Stress Responses in Aging-Associated Diseases (CECAD)
    Partner Site Bonn-Cologne Department Cologne)

  • Patrick W. G. Mallon

    (University College Dublin
    St Vincent’s University Hospital)

Abstract

SARS-CoV-2 neutralising antibodies provide protection against COVID-19. Evidence from early vaccine trials suggested binding antibody thresholds could serve as surrogate markers of neutralising capacity, but whether these thresholds predict sufficient neutralising capacity against variants of concern (VOCs), and whether this is impacted by vaccine or infection history remains unclear. Here we analyse individuals recovered from, vaccinated or with hybrid immunity against SARS-CoV-2. An NT50 ≥ 100 IU confers protection in vaccine trials, however, as VOC induce a reduction in NT50, we use NT50 ≥ 1000 IU as a cut off for WT NT50 that would retain neutralisation against VOC. In unvaccinated convalescent participants, a receptor binding domain (RBD) IgG of 456 BAU/mL predicts an NT50 against WT of 1000 IU with an accuracy of 80% (95%CI 73–86%). This threshold maintains accuracy in determining loss of protective immunity against VOC in two vaccinated cohorts. It predicts an NT50

Suggested Citation

  • Grace Kenny & Sophie O’Reilly & Neil Wrigley Kelly & Riya Negi & Colette Gaillard & Dana Alalwan & Gurvin Saini & Tamara Alrawahneh & Nathan Francois & Matthew Angeliadis & Alejandro Abner Garcia Leon, 2023. "Distinct receptor binding domain IgG thresholds predict protective host immunity across SARS-CoV-2 variants and time," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42717-1
    DOI: 10.1038/s41467-023-42717-1
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    References listed on IDEAS

    as
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