Monoclonal antibody levels and protection from COVID-19

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作者
Eva Stadler
Martin T. Burgess
Timothy E. Schlub
Shanchita R. Khan
Khai Li Chai
Zoe K. McQuilten
Erica M. Wood
Mark N. Polizzotto
Stephen J. Kent
Deborah Cromer
Miles P. Davenport
David S. Khoury
机构
[1] University of New South Wales,Kirby Institute
[2] University of New South Wales,School of Mathematics and Statistics
[3] University of Sydney,Sydney School of Public Health, Faculty of Medicine and Health
[4] Monash University,Transfusion Research Unit, School of Public Health and Preventive Medicine
[5] Monash Health,Department of Clinical Haematology
[6] The Australian National University,Clinical Hub for Interventional Research, College of Health and Medicine
[7] Canberra Region Cancer Centre,Department of Clinical Haematology
[8] The Canberra Hospital,Department of Microbiology and Immunology
[9] University of Melbourne at the Peter Doherty Institute for Infection and Immunity,Melbourne Sexual Health Centre and Department of Infectious Diseases, Alfred Hospital and Central Clinical School
[10] Monash University,undefined
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Multiple monoclonal antibodies have been shown to be effective for both prophylaxis and therapy for SARS-CoV-2 infection. Here we aggregate data from randomized controlled trials assessing the use of monoclonal antibodies (mAb) in preventing symptomatic SARS-CoV-2 infection. We use data on the in vivo concentration of mAb and the associated protection from COVID-19 over time to model the dose-response relationship of mAb for prophylaxis. We estimate that 50% protection from COVID-19 is achieved with a mAb concentration of 96-fold of the in vitro IC50 (95% CI: 32—285). This relationship provides a tool for predicting the prophylactic efficacy of new mAb and against SARS-CoV-2 variants. Finally, we compare the relationship between neutralization titer and protection from COVID-19 after either mAb treatment or vaccination. We find no significant difference between the 50% protective titer for mAb and vaccination, although sample sizes limited the power to detect a difference.
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