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A serological assay to detect SARS-CoV-2 seroconversion in humans
Fatima Amanat; Daniel Stadlbauer; Shirin Strohmeier; Thi Nguyen; Veronika Chromikova; Meagan McMahon; Kaijun Jiang; Guha Asthagiri-Arunkumar; Denise Jurczyszak; Jose Polanco; Maria Bermudez-Gonzalez; Giulio Kleiner; Teresa Aydillo; Lisa Miorin; Daniel Fierer; Luz Amarilis Lugo; Erna Milunka Kojic; Jonathan Stoever; Sean T.H. Liu; Charlotte Cunningham-Rundles; Philip L. Felgner; Daniel Caplivski; Adolfo Garcia-Sastre; Allen Cheng; Katherine Kedzierska; Olli Vapalahti; Jussi Hepojoki; Viviana Simon; Florian Krammer; Thomas Moran.
Afiliação
  • Fatima Amanat; Icahn School of Medicine at Mount Sinai
  • Daniel Stadlbauer; Icahn School of Medicine at Mount Sinai
  • Shirin Strohmeier; Icahn School of Medicine at Mount Sinai
  • Thi Nguyen; Department of Microbiology & Immunology, University of Melbourne, The Peter Doherty Institute for Infection & Immunity, Melbourne, Victoria, Australia
  • Veronika Chromikova; Icahn School of Medicine at Mount Sinai
  • Meagan McMahon; Mount Sinai
  • Kaijun Jiang; Icahn School of Medicine at Mount Sinai
  • Guha Asthagiri-Arunkumar; Icahn School of Medicine at Mount Sinai
  • Denise Jurczyszak; Mount Sinai
  • Jose Polanco; Icahn School of Medicine at Mount Sinai
  • Maria Bermudez-Gonzalez; Icahn School of Medicine at Mount Sinai
  • Giulio Kleiner; Mount Sinai
  • Teresa Aydillo; Mount Sinai
  • Lisa Miorin; Mount Sinai
  • Daniel Fierer; daniel.fierer@mssm.edu
  • Luz Amarilis Lugo; Mount Sinai
  • Erna Milunka Kojic; Mount Sinai
  • Jonathan Stoever; Mount Sinai
  • Sean T.H. Liu; Mount Sinai
  • Charlotte Cunningham-Rundles; Mount Sinai
  • Philip L. Felgner; UC Irvine
  • Daniel Caplivski; Icahn School of Medicine at Mount Sinai
  • Adolfo Garcia-Sastre; Mount Sinai
  • Allen Cheng; Monash University
  • Katherine Kedzierska; University of Melbourne
  • Olli Vapalahti; University of Helsinki
  • Jussi Hepojoki; University of Helsinki / Medicum
  • Viviana Simon; Icahn School of Medicine
  • Florian Krammer; Icahn School of Medicine at Mount Sinai
  • Thomas Moran; Mount Sinai
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20037713
Artigo de periódico
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ABSTRACT
SARS-Cov-2 (severe acute respiratory disease coronavirus 2), which causes Coronavirus Disease 2019 (COVID19) was first detected in China in late 2019 and has since then caused a global pandemic. While molecular assays to directly detect the viral genetic material are available for the diagnosis of acute infection, we currently lack serological assays suitable to specifically detect SARS-CoV-2 antibodies. Here we describe serological enzyme-linked immunosorbent assays (ELISA) that we developed using recombinant antigens derived from the spike protein of SARS-CoV-2. Using negative control samples representing pre-COVID 19 background immunity in the general adult population as well as samples from COVID19 patients, we demonstrate that these assays are sensitive and specific, allowing for screening and identification of COVID19 seroconverters using human plasma/serum as early as two days post COVID19 symptoms onset. Importantly, these assays do not require handling of infectious virus, can be adjusted to detect different antibody types and are amendable to scaling. Such serological assays are of critical importance to determine seroprevalence in a given population, define previous exposure and identify highly reactive human donors for the generation of convalescent serum as therapeutic. Sensitive and specific identification of coronavirus SARS-Cov-2 antibody titers may, in the future, also support screening of health care workers to identify those who are already immune and can be deployed to care for infected patients minimizing the risk of viral spread to colleagues and other patients.
Licença
cc_by_nc
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo diagnóstico / Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo diagnóstico / Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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