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A high content microscopy-based platform for detecting antibodies to the nucleocapsid, spike and membrane proteins of SARS-CoV-2
Daniel M. Williams; Hayley Hornsby; Ola M. Shehata; Rebecca Brown; Domen Zafred; Amber S.M. Shun-Shion; Anthony J. Hodder; Deepa Bliss; Andrew Metcalfe; James Edgar; David E. Gordon; Jon R. Sayers; Martin J. Nicklin; Paul J. Collini; Steve Brown; Thushan I. de Silva; Andrew A. Peden.
Afiliación
  • Daniel M. Williams; School of Bioscience, University of Sheffield, Western Bank, Sheffield S102TN
  • Hayley Hornsby; Department of Infection, Immunity and Cardiovascular Disease The Medical School Beech Hill Road Sheffield S10 2RX
  • Ola M. Shehata; School of Bioscience, University of Sheffield, Western Bank, Sheffield S102TN
  • Rebecca Brown; Department of Infection, Immunity and Cardiovascular Disease The Medical School Beech Hill Road Sheffield S10 2RX
  • Domen Zafred; Department of Infection, Immunity and Cardiovascular Disease The Medical School Beech Hill Road Sheffield S10 2RX
  • Amber S.M. Shun-Shion; School of Bioscience, University of Sheffield, Western Bank, Sheffield S102TN
  • Anthony J. Hodder; School of Bioscience, University of Sheffield, Western Bank, Sheffield S102TN
  • Deepa Bliss; School of Bioscience, University of Sheffield, Western Bank, Sheffield S102TN
  • Andrew Metcalfe; School of Bioscience, University of Sheffield, Western Bank, Sheffield S102TN
  • James Edgar; Department of Pathology, University of Cambridge, Tennis Court Road CB2 1QP
  • David E. Gordon; Whitehead Building, Atlanta, GA, USA Department of Pathology Emory University
  • Jon R. Sayers; Department of Infection, Immunity and Cardiovascular Disease The Medical School Beech Hill Road Sheffield S10 2RX
  • Martin J. Nicklin; Department of Infection, Immunity and Cardiovascular Disease The Medical School Beech Hill Road Sheffield S10 2RX
  • Paul J. Collini; Department of Infection, Immunity and Cardiovascular Disease The Medical School Beech Hill Road Sheffield S10 2RX
  • Steve Brown; School of Bioscience, University of Sheffield, Western Bank, Sheffield S102TN
  • Thushan I. de Silva; Dept. of Infection, Immunity and Cardiovascular Diseases University of Sheffield Medical School Beech Hill Road Sheffield S10 2RX
  • Andrew A. Peden; School of Bioscience, University of Sheffield, Western Bank, Sheffield S102TN
Preprint en En | PREPRINT-MEDRXIV | ID: ppmedrxiv-21264873
ABSTRACT
The strong humoral immune response produced against the SARS-CoV-2 nucleocapsid (N) and spike (S) proteins has underpinned serological testing but the prevalence of antibody responses to other SARS-CoV-2 proteins, which may be of use as further serological markers, is still unclear. Cell-based serological screening platforms can fulfil a crucial niche in the identification of antibodies which recognise more complex folded epitopes or those incorporating post-translation modifications which may be undetectable by other methods used to investigate the antigenicity of the SARS-CoV-2 proteome. Here, we employed automated high content immunofluorescence microscopy (AHCIM) to assess the viability of such an approach as a method capable of assaying humoral immune responses against full length SARS-CoV-2 proteins in their native cellular state. We first demonstrate that AHCIM provides high sensitivity and specificity in the detection of SARS-CoV-2 N and S IgG. Assessing the prevalence of antibody responses to the SARS-CoV-2 structural membrane protein (M), we further find that 85% of COVID-19 patients within our sample set developed detectable M IgG responses (M sensitivity 85%, N sensitivity 93%, combined N + M sensitivity 95%). The identification of M as a serological marker of high prevalence may be of value in detecting additional COVID-19 cases during the era of mass SARS-CoV-2 vaccinations, where serological screening for SARS CoV-2 infections in vaccinated individuals is dependent on detection of antibodies against N. These findings highlight the advantages of using cell-based systems as serological screening platforms and raise the possibility of using M as a widespread serological marker alongside N and S.
Licencia
cc_by_nc_nd
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Diagnostic_studies / Observational_studies Idioma: En Año: 2021 Tipo del documento: Preprint
Texto completo: 1 Colección: 09-preprints Base de datos: PREPRINT-MEDRXIV Tipo de estudio: Diagnostic_studies / Observational_studies Idioma: En Año: 2021 Tipo del documento: Preprint