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Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection

The COVID-19 pandemic is an unprecedented global challenge, and point-of-care diagnostic classifiers are urgently required. Here, we present a platform for ultra-high-throughput serum and plasma proteomics that builds on ISO13485 standardization to facilitate simple implementation in regulated clini...

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Autores principales: Messner, Christoph B., Demichev, Vadim, Wendisch, Daniel, Michalick, Laura, White, Matthew, Freiwald, Anja, Textoris-Taube, Kathrin, Vernardis, Spyros I., Egger, Anna-Sophia, Kreidl, Marco, Ludwig, Daniela, Kilian, Christiane, Agostini, Federica, Zelezniak, Aleksej, Thibeault, Charlotte, Pfeiffer, Moritz, Hippenstiel, Stefan, Hocke, Andreas, von Kalle, Christof, Campbell, Archie, Hayward, Caroline, Porteous, David J., Marioni, Riccardo E., Langenberg, Claudia, Lilley, Kathryn S., Kuebler, Wolfgang M., Mülleder, Michael, Drosten, Christian, Suttorp, Norbert, Witzenrath, Martin, Kurth, Florian, Sander, Leif Erik, Ralser, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cell Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7264033/
https://www.ncbi.nlm.nih.gov/pubmed/32619549
http://dx.doi.org/10.1016/j.cels.2020.05.012
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author Messner, Christoph B.
Demichev, Vadim
Wendisch, Daniel
Michalick, Laura
White, Matthew
Freiwald, Anja
Textoris-Taube, Kathrin
Vernardis, Spyros I.
Egger, Anna-Sophia
Kreidl, Marco
Ludwig, Daniela
Kilian, Christiane
Agostini, Federica
Zelezniak, Aleksej
Thibeault, Charlotte
Pfeiffer, Moritz
Hippenstiel, Stefan
Hocke, Andreas
von Kalle, Christof
Campbell, Archie
Hayward, Caroline
Porteous, David J.
Marioni, Riccardo E.
Langenberg, Claudia
Lilley, Kathryn S.
Kuebler, Wolfgang M.
Mülleder, Michael
Drosten, Christian
Suttorp, Norbert
Witzenrath, Martin
Kurth, Florian
Sander, Leif Erik
Ralser, Markus
author_facet Messner, Christoph B.
Demichev, Vadim
Wendisch, Daniel
Michalick, Laura
White, Matthew
Freiwald, Anja
Textoris-Taube, Kathrin
Vernardis, Spyros I.
Egger, Anna-Sophia
Kreidl, Marco
Ludwig, Daniela
Kilian, Christiane
Agostini, Federica
Zelezniak, Aleksej
Thibeault, Charlotte
Pfeiffer, Moritz
Hippenstiel, Stefan
Hocke, Andreas
von Kalle, Christof
Campbell, Archie
Hayward, Caroline
Porteous, David J.
Marioni, Riccardo E.
Langenberg, Claudia
Lilley, Kathryn S.
Kuebler, Wolfgang M.
Mülleder, Michael
Drosten, Christian
Suttorp, Norbert
Witzenrath, Martin
Kurth, Florian
Sander, Leif Erik
Ralser, Markus
author_sort Messner, Christoph B.
collection PubMed
description The COVID-19 pandemic is an unprecedented global challenge, and point-of-care diagnostic classifiers are urgently required. Here, we present a platform for ultra-high-throughput serum and plasma proteomics that builds on ISO13485 standardization to facilitate simple implementation in regulated clinical laboratories. Our low-cost workflow handles up to 180 samples per day, enables high precision quantification, and reduces batch effects for large-scale and longitudinal studies. We use our platform on samples collected from a cohort of early hospitalized cases of the SARS-CoV-2 pandemic and identify 27 potential biomarkers that are differentially expressed depending on the WHO severity grade of COVID-19. They include complement factors, the coagulation system, inflammation modulators, and pro-inflammatory factors upstream and downstream of interleukin 6. All protocols and software for implementing our approach are freely available. In total, this work supports the development of routine proteomic assays to aid clinical decision making and generate hypotheses about potential COVID-19 therapeutic targets.
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spelling pubmed-72640332020-06-02 Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection Messner, Christoph B. Demichev, Vadim Wendisch, Daniel Michalick, Laura White, Matthew Freiwald, Anja Textoris-Taube, Kathrin Vernardis, Spyros I. Egger, Anna-Sophia Kreidl, Marco Ludwig, Daniela Kilian, Christiane Agostini, Federica Zelezniak, Aleksej Thibeault, Charlotte Pfeiffer, Moritz Hippenstiel, Stefan Hocke, Andreas von Kalle, Christof Campbell, Archie Hayward, Caroline Porteous, David J. Marioni, Riccardo E. Langenberg, Claudia Lilley, Kathryn S. Kuebler, Wolfgang M. Mülleder, Michael Drosten, Christian Suttorp, Norbert Witzenrath, Martin Kurth, Florian Sander, Leif Erik Ralser, Markus Cell Syst Article The COVID-19 pandemic is an unprecedented global challenge, and point-of-care diagnostic classifiers are urgently required. Here, we present a platform for ultra-high-throughput serum and plasma proteomics that builds on ISO13485 standardization to facilitate simple implementation in regulated clinical laboratories. Our low-cost workflow handles up to 180 samples per day, enables high precision quantification, and reduces batch effects for large-scale and longitudinal studies. We use our platform on samples collected from a cohort of early hospitalized cases of the SARS-CoV-2 pandemic and identify 27 potential biomarkers that are differentially expressed depending on the WHO severity grade of COVID-19. They include complement factors, the coagulation system, inflammation modulators, and pro-inflammatory factors upstream and downstream of interleukin 6. All protocols and software for implementing our approach are freely available. In total, this work supports the development of routine proteomic assays to aid clinical decision making and generate hypotheses about potential COVID-19 therapeutic targets. Cell Press 2020-07-22 /pmc/articles/PMC7264033/ /pubmed/32619549 http://dx.doi.org/10.1016/j.cels.2020.05.012 Text en © 2020 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Messner, Christoph B.
Demichev, Vadim
Wendisch, Daniel
Michalick, Laura
White, Matthew
Freiwald, Anja
Textoris-Taube, Kathrin
Vernardis, Spyros I.
Egger, Anna-Sophia
Kreidl, Marco
Ludwig, Daniela
Kilian, Christiane
Agostini, Federica
Zelezniak, Aleksej
Thibeault, Charlotte
Pfeiffer, Moritz
Hippenstiel, Stefan
Hocke, Andreas
von Kalle, Christof
Campbell, Archie
Hayward, Caroline
Porteous, David J.
Marioni, Riccardo E.
Langenberg, Claudia
Lilley, Kathryn S.
Kuebler, Wolfgang M.
Mülleder, Michael
Drosten, Christian
Suttorp, Norbert
Witzenrath, Martin
Kurth, Florian
Sander, Leif Erik
Ralser, Markus
Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection
title Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection
title_full Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection
title_fullStr Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection
title_full_unstemmed Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection
title_short Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection
title_sort ultra-high-throughput clinical proteomics reveals classifiers of covid-19 infection
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7264033/
https://www.ncbi.nlm.nih.gov/pubmed/32619549
http://dx.doi.org/10.1016/j.cels.2020.05.012
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