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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cell Press
2020
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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. |
format | Online Article Text |
id | pubmed-7264033 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Cell Press |
record_format | MEDLINE/PubMed |
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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