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A multiplex protein panel assay determines disease severity and is prognostic about outcome in COVID-19 patients
Ziyue Wang; Adam Cryar; Oliver Lemke; Daniela Ludwig; Pinkus Tober-Lau; Elisa-Theresa Helbig; Daniel Blake; Catherine S Lane; Rebekah L Sayers; Christoph Mueller; Johannes Zeiser; StJohn Townsend; Vadim Demichev; Michael Muelleder; Florian Kurth; Ernestas Sirka; Johannes Hartl; Markus Ralser.
Afiliação
  • Ziyue Wang; Department of Biochemistry, Charite Universitaetsmedizin Berlin, Germany
  • Adam Cryar; Inoviv, London, United Kingdom
  • Oliver Lemke; Department of Biochemistry, Charite Universitaetsmedizin Berlin, Germany
  • Daniela Ludwig; Department of Biochemistry, Charite Universitaetsmedizin Berlin, Germany
  • Pinkus Tober-Lau; Department of Infectious Diseases and Respiratory Medicine, Charite Universitaetsmedizin Berlin, Germany
  • Elisa-Theresa Helbig; Department of Infectious Diseases and Respiratory Medicine, Charite Universitaetsmedizin Berlin, Germany
  • Daniel Blake; SCIEX, Macclesfield, United Kingdom
  • Catherine S Lane; SCIEX, Macclesfield, United Kingdom
  • Rebekah L Sayers; SCIEX, Macclesfield, United Kingdom
  • Christoph Mueller; Agilent Technologies Sales & Services GmbH & Co. KG, Waldbronn, Germany
  • Johannes Zeiser; Agilent Technologies Sales & Services GmbH & Co. KG, Waldbronn, Germany
  • StJohn Townsend; Department of Biochemistry, Charite Universitaetsmedizin Berlin, Germany
  • Vadim Demichev; Department of Biochemistry, Charite Universitaetsmedizin Berlin, Germany
  • Michael Muelleder; Core Facility, High-Throughput Mass Spectrometry, Charite Universitaetsmedizin Berlin
  • Florian Kurth; Department of Infectious Diseases and Respiratory Medicine, Charite Universitaetsmedizin Berlin, Germany & Department of Tropical Medicine, Bernhard Nocht Insti
  • Ernestas Sirka; Inoviv, London, United Kingdom
  • Johannes Hartl; Department of Biochemistry, Charite Universitaetsmedizin Berlin, Germany
  • Markus Ralser; Department of Biochemistry, Charite Universitaetsmedizin Berlin, Germany
Preprint em Inglês | medRxiv | ID: ppmedrxiv-21267253
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ABSTRACT
Global healthcare systems continue to be challenged by the COVID-19 pandemic, and there is a need for clinical assays that can both help to optimize resource allocation and accelerate the development and evaluation of new therapies. Here, we present a multiplex proteomic panel assay for the assessment of disease severity and outcome prediction in COVID-19. The assay quantifies 50 peptides derived from 30 COVID-19 severity markers in a single measurement using analytical flow rate liquid chromatography and multiple reaction monitoring (LC-MRM), on equipment that is broadly available in routine and regulated analytical laboratories. We demonstrate accurate classification of COVID-19 severity in patients from two cohorts. Furthermore, the assay outperforms established risk assessments such as SOFA and APACHE II in predicting survival in a longitudinal COVID-19 cohort. The prognostic value implies its use for support of clinical decisions in settings with overstrained healthcare resources e.g. to optimally allocate resources to severely ill individuals with high chance of survival. It can furthermore be helpful for monitoring of novel therapies in clinical trials.
Licença
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Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Cohort_studies / Experimental_studies / 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: Cohort_studies / Experimental_studies / Estudo observacional / Estudo prognóstico Idioma: Inglês Ano de publicação: 2021 Tipo de documento: Preprint
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