Ultra-Sensitive High-Resolution Profiling of Anti-SARS-CoV-2 Antibodies for Detecting Early Seroconversion in COVID-19 Patients

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Author(s)

Author Name

Maia Norman

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Tal Gilboa

Alana F. Ogata

Published 2 Projects

Infectious Diseases

Adam M. Maley

Published 1 Project

Infectious Diseases

Limor Cohen

Published 2 Projects

Immunology Infectious Diseases

Yongfei Cai

Published 1 Project

Infectious Diseases

Jun Zhang

Published 1 Project

Infectious Diseases

Jared E. Feldman

Published 1 Project

Infectious Diseases

Blake M. Hauser

Published 1 Project

Infectious Diseases

Timothy M. Caradonna

Published 1 Project

Infectious Diseases

Bing Chen

Published 1 Project

Infectious Diseases

Aaron G. Schmidt

Published 1 Project

Infectious Diseases

Galit Alter

Richelle C. Charles

Published 1 Project

Infectious Diseases

Edward T Ryan

Published 1 Project

Infectious Diseases

David Walt

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The COVID-19 pandemic continues to infect millions of people worldwide. In order to curb its spread and reduce morbidity and mortality, it is essential to develop sensitive and quantitative methods that identify infected individuals and enable accurate population-wide screening of both past and present infection. Here we show that Single Molecule Array assays detect seroconversion in COVID-19 patients as soon as one day after symptom onset using less than a microliter of blood. This multiplexed assay format allows us to quantitate IgG, IgM and IgA immunoglobulins against four SARS-CoV-2 targets, thereby interrogating 12 antibody isotype-viral protein interactions to give a high resolution profile of the immune response. Using a cohort of samples collected prior to the outbreak as well as samples collected during the pandemic, we demonstrate a sensitivity of 86% and a specificity of 100% during the first week of infection, and 100% sensitivity and specificity thereafter. This assay should become the gold standard for COVID19 serological profiling and will be a valuable tool for answering important questions about the heterogeneity of clinical presentation seen in the ongoing pandemic.

Infectious Diseases
Infectious Diseases 62 Projects