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Rapid and Sensitive Detection of SARS-CoV-2 Infection Using Quantitative Peptide Enrichment LC-MS/MS Analysis
Andreas Hober; Tran-Minh Khue Hua; Dominic Foley; Thomas McDonald; Johannes P.C. Vissers; Rebecca Pattison; Samantha Ferries; Sigurd Hermansson; Ingvar Betner; Mathias Uhlen; Morteza Razavi; Richard Yip; Matthew E Pope; Terry W Pearson; N. Leigh Anderson; Amy Bartlett; Lisa Calton; Jessica J. Alm; Lars Engstrand; Fredrik Edfors.
Afiliação
  • Andreas Hober; The Royal Institute of Technology, Division of Systems Biology, Department of Protein Science, School of Chemistry, Biotechnology and Health, Stockholm. Sweden
  • Tran-Minh Khue Hua; The Royal Institute of Technology, Division of Systems Biology, Department of Protein Science, School of Chemistry, Biotechnology and Health, Stockholm. Sweden
  • Dominic Foley; Waters Corporation, Wilmslow, UK; Milford, MA; Stockholm, Sweden
  • Thomas McDonald; Waters Corporation, Wilmslow, UK; Milford, MA; Stockholm, Sweden
  • Johannes P.C. Vissers; Waters Corporation, Wilmslow, UK; Milford, MA; Stockholm, Sweden
  • Rebecca Pattison; Waters Corporation, Wilmslow, UK; Milford, MA; Stockholm, Sweden
  • Samantha Ferries; Waters Corporation, Wilmslow, UK; Milford, MA; Stockholm, Sweden
  • Sigurd Hermansson; Waters Corporation, Wilmslow, UK; Milford, MA; Stockholm, Sweden
  • Ingvar Betner; Waters Corporation, Wilmslow, UK; Milford, MA; Stockholm, Sweden
  • Mathias Uhlen; The Royal Institute of Technology, Division of Systems Biology, Department of Protein Science, School of Chemistry, Biotechnology and Health, Stockholm. Sweden
  • Morteza Razavi; SISCAPA Assay Technologies, Inc., Washington DC; Victoria BC Canada
  • Richard Yip; SISCAPA Assay Technologies, Inc., Washington DC; Victoria BC Canada
  • Matthew E Pope; SISCAPA Assay Technologies, Inc., Washington DC; Victoria BC Canada
  • Terry W Pearson; SISCAPA Assay Technologies, Inc., Washington DC; Victoria BC Canada
  • N. Leigh Anderson; SISCAPA Assay Technologies, Inc., Washington DC; Victoria BC Canada
  • Amy Bartlett; Waters Corporation, Wilmslow, UK; Milford, MA; Stockholm, Sweden
  • Lisa Calton; Waters Corporation, Wilmslow, UK; Milford, MA; Stockholm, Sweden
  • Jessica J. Alm; Karolinska Institutet, Department of Microbiology, Tumor and Cell Biology & National Pandemic Center, Karolinska Institutet, Solna, Sweden
  • Lars Engstrand; Karolinska Institutet, Department of Microbiology, Tumor and Cell Biology & National Pandemic Center, Karolinska Institutet, Solna, Sweden
  • Fredrik Edfors; The Royal Institute of Technology, Division of Systems Biology, Department of Protein Science, School of Chemistry, Biotechnology and Health, Stockholm. Sweden
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21258097
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ABSTRACT
Reliable, robust, large-scale molecular testing for SARS-CoV-2 is essential for monitoring the ongoing Covid-19 pandemic. We have developed a scalable analytical approach to detect viral proteins based on peptide immunoaffinity enrichment combined with liquid chromatography - mass spectrometry (LC-MS). This is a multiplexed strategy, based on targeted proteomics analysis and read-out by LC-MS, capable of precisely quantifying and confirming the presence of SARS-CoV-2 in PBS swab media from combined throat/nasopharynx/saliva samples. The results reveal that the levels of SARS-CoV-2 measured by LC-MS correlate well with their corresponding RT-PCR readout (r=0.79). The analytical workflow shows similar turnaround times as regular RT-PCR instrumentation with a quantitative readout of viral proteins corresponding to cycle thresholds (Ct) equivalents ranging from 21 to 34. Using RT-PCR as a reference, we demonstrate that the LC-MS-based method has 100% negative percent agreement (estimated specificity) and 95% positive percent agreement (estimated sensitivity) when analyzing clinical samples collected from asymptomatic individuals with a Ct within the limit of detection of the mass spectrometer (Ct [≤]30). These results suggest that a scalable analytical method based on LC-MS has a place in future pandemic preparedness centers to complement current virus detection technologies.
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Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Estudo diagnóstico / 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 diagnóstico / Estudo prognóstico Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
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