Correlates of protection against symptomatic and asymptomatic SARS-CoV-2 infection

  • Oxford COVID Vaccine Trial group
  • , Shuo Feng
  • , Daniel J. Phillips
  • , Thomas White
  • , Homesh Sayal
  • , Parvinder K. Aley
  • , Sagida Bibi
  • , Christina Dold
  • , Michelle Fuskova
  • , Sarah C. Gilbert
  • , Ian Hirsch
  • , Holly E. Humphries
  • , Brett Jepson
  • , Elizabeth J. Kelly
  • , Emma Plested
  • , Kathryn Shoemaker
  • , Kelly M. Thomas
  • , Johan Vekemans
  • , Tonya L. Villafana
  • , Teresa Lambe
  • Andrew J. Pollard, Merryn Voysey

Research output: Contribution to journalArticlepeer-review

916 Citations (Scopus)

Abstract

The global supply of COVID-19 vaccines remains limited. An understanding of the immune response that is predictive of protection could facilitate rapid licensure of new vaccines. Data from a randomized efficacy trial of the ChAdOx1 nCoV-19 (AZD1222) vaccine in the United Kingdom was analyzed to determine the antibody levels associated with protection against SARS-CoV-2. Binding and neutralizing antibodies at 28 days after the second dose were measured in infected and noninfected vaccine recipients. Higher levels of all immune markers were correlated with a reduced risk of symptomatic infection. A vaccine efficacy of 80% against symptomatic infection with majority Alpha (B.1.1.7) variant of SARS-CoV-2 was achieved with 264 (95% CI: 108, 806) binding antibody units (BAU)/ml: and 506 (95% CI: 135, not computed (beyond data range) (NC)) BAU/ml for anti-spike and anti-RBD antibodies, and 26 (95% CI: NC, NC) international unit (IU)/ml and 247 (95% CI: 101, NC) normalized neutralization titers (NF) for pseudovirus and live-virus neutralization, respectively. Immune markers were not correlated with asymptomatic infections at the 5% significance level. These data can be used to bridge to new populations using validated assays, and allow extrapolation of efficacy estimates to new COVID-19 vaccines.

Original languageEnglish
Pages (from-to)2032-2040
Number of pages9
JournalNature Medicine
Volume27
Issue number11
DOIs
Publication statusPublished - 29 Sept 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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