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We are analyzing https://www.nature.com/articles/s41591-021-01377-8.

Title:
Neutralizing antibody levels are highly predictive of immune protection from symptomatic SARS-CoV-2 infection | Nature Medicine
Description:
Predictive models of immune protection from COVID-19 are urgently needed to identify correlates of protection to assist in the future deployment of vaccines. To address this, we analyzed the relationship between in vitro neutralization levels and the observed protection from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection using data from seven current vaccines and from convalescent cohorts. We estimated the neutralization level for 50% protection against detectable SARS-CoV-2 infection to be 20.2% of the mean convalescent level (95% confidence interval (CI) = 14.4–28.4%). The estimated neutralization level required for 50% protection from severe infection was significantly lower (3% of the mean convalescent level; 95% CI = 0.7–13%, P = 0.0004). Modeling of the decay of the neutralization titer over the first 250 d after immunization predicts that a significant loss in protection from SARS-CoV-2 infection will occur, although protection from severe disease should be largely retained. Neutralization titers against some SARS-CoV-2 variants of concern are reduced compared with the vaccine strain, and our model predicts the relationship between neutralization and efficacy against viral variants. Here, we show that neutralization level is highly predictive of immune protection, and provide an evidence-based model of SARS-CoV-2 immune protection that will assist in developing vaccine strategies to control the future trajectory of the pandemic. Estimates of the levels of neutralizing antibodies necessary for protection against symptomatic SARS-CoV-2 or severe COVID-19 are a fraction of the mean level in convalescent serum and will be useful in guiding vaccine rollouts.
Website Age:
30 years and 10 months (reg. 1994-08-11).

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$63,100 per month
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Keywords {🔍}

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Topics {✒️}

gov/news-events/press-announcements/coronavirus-covid-19-update-fda-issues-policies-guide-medical-product-developers-addressing-virus /johnson-johnson-announces-single-shot-janssen-covid-19-vaccine-candidate-met-primary-endpoints /news-releases/news-release-details/regeneron-reports-positive-interim-data-regen-covtm-antibody fda issues policies nature portfolio permissions reprints privacy policy health-coronavirus-sinovac-biotech-iduskbn2a52q6 advertising io/webplotdigitizer/ regen-cov™ antibody cocktail south africa social media index variable ii nature https india regeneron press release nature 591 nature 590 nature 592 nature haemagglutination-inhibiting antibody titres serum haemagglutination-inhibiting antibody direct access research design anti-sars-cov-2 antibody serum-derived polyclonal antibodies anti-sars-cov-2 antibodies antigen-specific adaptive immunity convergent bio-nano science inactivated sars-cov-2 vaccine detectable sars-cov-2 infection sars-cov-2 infection elicits define sars-cov-2 correlates mrna-1273 sars-cov-2 vaccine research hemagglutination-inhibiting antibody responses central clinical school symptomatic sars-cov-2 infection index mrna vaccine-elicited antibodies seasonal coronavirus infection experimental coronavirus infection assessing sars-cov-2 immunity severe sars-cov-2 infection permissions sars-cov-2 mrna-1273 vaccination central horizontal bars primary immune responses australian government department

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Schema {🗺️}

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      headline:Neutralizing antibody levels are highly predictive of immune protection from symptomatic SARS-CoV-2 infection
      description:Predictive models of immune protection from COVID-19 are urgently needed to identify correlates of protection to assist in the future deployment of vaccines. To address this, we analyzed the relationship between in vitro neutralization levels and the observed protection from severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection using data from seven current vaccines and from convalescent cohorts. We estimated the neutralization level for 50% protection against detectable SARS-CoV-2 infection to be 20.2% of the mean convalescent level (95% confidence interval (CI) = 14.4–28.4%). The estimated neutralization level required for 50% protection from severe infection was significantly lower (3% of the mean convalescent level; 95% CI = 0.7–13%, P = 0.0004). Modeling of the decay of the neutralization titer over the first 250 d after immunization predicts that a significant loss in protection from SARS-CoV-2 infection will occur, although protection from severe disease should be largely retained. Neutralization titers against some SARS-CoV-2 variants of concern are reduced compared with the vaccine strain, and our model predicts the relationship between neutralization and efficacy against viral variants. Here, we show that neutralization level is highly predictive of immune protection, and provide an evidence-based model of SARS-CoV-2 immune protection that will assist in developing vaccine strategies to control the future trajectory of the pandemic. Estimates of the levels of neutralizing antibodies necessary for protection against symptomatic SARS-CoV-2 or severe COVID-19 are a fraction of the mean level in convalescent serum and will be useful in guiding vaccine rollouts.
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            name:University of Sydney
            address:
               name:Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
               type:PostalAddress
            type:Organization
      name:Adam K. Wheatley
      url:http://orcid.org/0000-0002-5593-9387
      affiliation:
            name:University of Melbourne at the Peter Doherty Institute for Infection and Immunity
            address:
               name:Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
               type:PostalAddress
            type:Organization
      name:Jennifer A. Juno
      url:http://orcid.org/0000-0002-9072-1017
      affiliation:
            name:University of Melbourne at the Peter Doherty Institute for Infection and Immunity
            address:
               name:Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
               type:PostalAddress
            type:Organization
      name:Kanta Subbarao
      affiliation:
            name:University of Melbourne at the Peter Doherty Institute for Infection and Immunity
            address:
               name:Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
               type:PostalAddress
            type:Organization
            name:Peter Doherty Institute for Infection and Immunity
            address:
               name:WHO Collaborating Centre for Reference and Research on Influenza, Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
               type:PostalAddress
            type:Organization
      name:Stephen J. Kent
      url:http://orcid.org/0000-0002-8539-4891
      affiliation:
            name:University of Melbourne at the Peter Doherty Institute for Infection and Immunity
            address:
               name:Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
               type:PostalAddress
            type:Organization
            name:University of Melbourne
            address:
               name:Australian Research Council Centre for Excellence in Convergent Bio-Nano Science and Technology, University of Melbourne, Melbourne, Australia
               type:PostalAddress
            type:Organization
            name:Alfred Hospital and Central Clinical School, Monash University
            address:
               name:Melbourne Sexual Health Centre and Department of Infectious Diseases, Alfred Hospital and Central Clinical School, Monash University, Melbourne, Australia
               type:PostalAddress
            type:Organization
      name:James A. Triccas
      url:http://orcid.org/0000-0003-3730-2339
      affiliation:
            name:University of Sydney
            address:
               name:School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
               type:PostalAddress
            type:Organization
            name:University of Sydney
            address:
               name:Charles Perkins Centre and Marie Bashir Institute for Infectious Diseases and Biosecurity, University of Sydney, Sydney, Australia
               type:PostalAddress
            type:Organization
      email:[email protected]
      name:Miles P. Davenport
      url:http://orcid.org/0000-0002-4751-1831
      affiliation:
            name:University of New South Wales
            address:
               name:Kirby Institute, University of New South Wales, Sydney, Australia
               type:PostalAddress
            type:Organization
      email:[email protected]
PostalAddress:
      name:Kirby Institute, University of New South Wales, Sydney, Australia
      name:Kirby Institute, University of New South Wales, Sydney, Australia
      name:Kirby Institute, University of New South Wales, Sydney, Australia
      name:Kirby Institute, University of New South Wales, Sydney, Australia
      name:Sydney School of Public Health, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
      name:Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
      name:Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
      name:Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
      name:WHO Collaborating Centre for Reference and Research on Influenza, Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
      name:Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, Australia
      name:Australian Research Council Centre for Excellence in Convergent Bio-Nano Science and Technology, University of Melbourne, Melbourne, Australia
      name:Melbourne Sexual Health Centre and Department of Infectious Diseases, Alfred Hospital and Central Clinical School, Monash University, Melbourne, Australia
      name:School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, Australia
      name:Charles Perkins Centre and Marie Bashir Institute for Infectious Diseases and Biosecurity, University of Sydney, Sydney, Australia
      name:Kirby Institute, University of New South Wales, Sydney, Australia

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