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Highly versatile antibody binding assay for the detection of SARS-CoV-2 infection
Pratik Datta; Rahul Ukey; Natalie Bruiners; William Honnen; Mary O Caryannopoulos; Charles Reichman; Alok K Choudhary; Alberta Onyuka; Deborah Handler; Valentina Guerrini; Pankaj Mishra; Hannah K Dewald; Alfred Lardizabal; Leeba Lederer; Aliza L Leiser; Sabiha Hussain; Sugeet K Jagpal; Jared Radbel; Tanaya Bhowmick; Daniel B Horton; Emily S Barrett; Yingda L Xie; Patricia Fitzgerald-Bocarsly; Stanley H Weiss; Melissa Woortman; Heta Parmar; Jason Roy; Maria Gloria Dominguez-Bello; Martin Blaser; Jeffrey L Carson; Reynold A Panettieri; Steven K Libutti; Henry F Raymond; Abraham Pinter; Maria Laura Gennaro.
Afiliação
  • Pratik Datta; Public Health Research Institute, New Jersey Medical School, Newark, New Jersey, USA
  • Rahul Ukey; Public Health Research Institute, New Jersey Medical School, Newark, New Jersey, USA
  • Natalie Bruiners; Public Health Research Institute, New Jersey Medical School, Newark, New Jersey, USA
  • William Honnen; Public Health Research Institute, New Jersey Medical School, Newark, New Jersey, USA
  • Mary O Caryannopoulos; Department of Pathology, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA
  • Charles Reichman; Public Health Research Institute, New Jersey Medical School, Newark, New Jersey, USA
  • Alok K Choudhary; Public Health Research Institute, New Jersey Medical School, Newark, New Jersey, USA
  • Alberta Onyuka; Global Tuberculosis Institute, New Jersey Medical School, Newark, New Jersey, USA
  • Deborah Handler; Global Tuberculosis Institute, New Jersey Medical School, Newark, New Jersey, USA
  • Valentina Guerrini; Public Health Research Institute, New Jersey Medical School, Newark, New Jersey, USA
  • Pankaj Mishra; Public Health Research Institute, New Jersey Medical School, Newark, New Jersey, USA
  • Hannah K Dewald; Department of Medicine, Rutgers New Jersey Medical School, Newark, New Jersey, USA
  • Alfred Lardizabal; Global Tuberculosis Institute, New Jersey Medical School, Newark, New Jersey, USA
  • Leeba Lederer; Bikur Cholim of Lakewood, Lakewood, New Jersey, USA
  • Aliza L Leiser; Rutgers University, New Brunswick, New Jersey, USA
  • Sabiha Hussain; Department of medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA
  • Sugeet K Jagpal; Department of medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA
  • Jared Radbel; Department of medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA
  • Tanaya Bhowmick; Department of medicine, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA
  • Daniel B Horton; Department of pediatrics, Rutgers Robert Wood Johnson Medical School, New Brunswick, New Jersey, USA
  • Emily S Barrett; Environmental and Occupational Health Sciences Institute, Department of Biostatistics and Epidemiology, Rutgers University, Piscataway, New Jersey, USA
  • Yingda L Xie; Department of medicine, Division of infectious diseases, Rutgers New Jersey Medical School, Newark, NJ
  • Patricia Fitzgerald-Bocarsly; Department of medicine, Rutgers New Jersey Medical School, Newark, NJ
  • Stanley H Weiss; Department of medicine, Rutgers New Jersey Medical School, Newark, NJ
  • Melissa Woortman; Department of Biochemistry and Microbiology, School of Environmental and Biological Sciences, Rutgers University, New Brunswick, NJ
  • Heta Parmar; Division of infectious diseases, Rutgers New Jersey Medical School, Newark, NJ
  • Jason Roy; Department of Biostatistics and Epidemiology, Rutgers University, Piscataway, New Jersey, USA
  • Maria Gloria Dominguez-Bello; Department of Biochemistry and Microbiology, School of Environmental and Biological Sciences, Rutgers University, New Brunswick, NJ
  • Martin Blaser; Center for Advanced Biotechnology and Medicine,Rutgers University, Piscataway, New Jersey, USA
  • Jeffrey L Carson; Rutgers Institute for Translational Medicine & Science, New Brunswick, New Jersey, USA
  • Reynold A Panettieri; Rutgers Institute for Translational Medicine & Science, New Brunswick, New Jersey, USA
  • Steven K Libutti; Cancer Institute of New Jersey, Rutgers University, New Brunswick, USA
  • Henry F Raymond; School of Public Health, Rutgers University, Piscataway, New Jersey, USA
  • Abraham Pinter; Public Health Research Institute, New Jersey Medical School, Newark, New Jersey, USA
  • Maria Laura Gennaro; Public Health Research Institute, New Jersey Medical School, Newark, New Jersey, USA
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21260266
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ABSTRACT
Monitoring the burden and spread of infection with the new coronavirus SARS-CoV-2, whether within small communities or in large geographical settings, is of paramount importance for public health purposes. Serology, which detects the host antibody response to the infection, is the most appropriate tool for this task, since virus-derived markers are most reliably detected during the acute phase of infection. Here we show that our ELISA protocol, which is based on antibody binding to the Receptor Binding Domain (RBD) of the S1 subunit of the viral Spike protein expressed as a novel fusion protein, detects antibody responses to SARS-CoV-2 infection and COVID-19 vaccination. We also show that our ELISA is accurate and versatile. It compares favorably with commercial assays widely used in clinical practice to determine exposure to SARS-CoV-2. Moreover, our protocol accommodates use of various blood- and non-blood-derived biospecimens, such as breast milk, as well as dried blood obtained with microsampling cartridges that are appropriate for remote collection. As a result, our RBD-based ELISA protocols are well suited for seroepidemiology and other large-scale studies requiring parsimonious sample collection outside of healthcare settings.
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Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
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