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

Identifieur interne : 000319 ( Main/Exploration ); précédent : 000318; suivant : 000320

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

Auteurs : Christoph B. Messner [Royaume-Uni] ; Vadim Demichev [Royaume-Uni] ; Daniel Wendisch [Allemagne] ; Laura Michalick [Allemagne] ; Matthew White [Royaume-Uni] ; Anja Freiwald [Allemagne] ; Kathrin Textoris-Taube [Allemagne] ; Spyros I. Vernardis [Royaume-Uni] ; Anna-Sophia Egger [Royaume-Uni] ; Marco Kreidl [Royaume-Uni] ; Daniela Ludwig [Allemagne] ; Christiane Kilian [Allemagne] ; Federica Agostini [Allemagne] ; Aleksej Zelezniak [Suède] ; Charlotte Thibeault [Allemagne] ; Moritz Pfeiffer [Allemagne] ; Stefan Hippenstiel [Allemagne] ; Andreas Hocke [Allemagne] ; Christof Von Kalle [Allemagne] ; Archie Campbell [Royaume-Uni] ; Caroline Hayward [Royaume-Uni] ; David J. Porteous [Royaume-Uni] ; Riccardo E. Marioni [Royaume-Uni] ; Claudia Langenberg [Royaume-Uni] ; Kathryn S. Lilley [Royaume-Uni] ; Wolfgang M. Kuebler [Allemagne] ; Michael Mülleder [Allemagne] ; Christian Drosten [Allemagne] ; Norbert Suttorp [Allemagne] ; Martin Witzenrath [Allemagne] ; Florian Kurth [Allemagne] ; Leif Erik Sander [Allemagne] ; Markus Ralser [Allemagne]

Source :

RBID : pubmed:32619549

Descripteurs français

English descriptors

Abstract

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.

DOI: 10.1016/j.cels.2020.05.012
PubMed: 32619549
PubMed Central: PMC7264033


Affiliations:


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Le document en format XML

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<name sortKey="Thibeault, Charlotte" sort="Thibeault, Charlotte" uniqKey="Thibeault C" first="Charlotte" last="Thibeault">Charlotte Thibeault</name>
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<name sortKey="Pfeiffer, Moritz" sort="Pfeiffer, Moritz" uniqKey="Pfeiffer M" first="Moritz" last="Pfeiffer">Moritz Pfeiffer</name>
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<name sortKey="Hayward, Caroline" sort="Hayward, Caroline" uniqKey="Hayward C" first="Caroline" last="Hayward">Caroline Hayward</name>
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<name sortKey="Marioni, Riccardo E" sort="Marioni, Riccardo E" uniqKey="Marioni R" first="Riccardo E" last="Marioni">Riccardo E. Marioni</name>
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<name sortKey="Kuebler, Wolfgang M" sort="Kuebler, Wolfgang M" uniqKey="Kuebler W" first="Wolfgang M" last="Kuebler">Wolfgang M. Kuebler</name>
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<name sortKey="Mulleder, Michael" sort="Mulleder, Michael" uniqKey="Mulleder M" first="Michael" last="Mülleder">Michael Mülleder</name>
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<name sortKey="Drosten, Christian" sort="Drosten, Christian" uniqKey="Drosten C" first="Christian" last="Drosten">Christian Drosten</name>
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<name sortKey="Witzenrath, Martin" sort="Witzenrath, Martin" uniqKey="Witzenrath M" first="Martin" last="Witzenrath">Martin Witzenrath</name>
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<nlm:affiliation>Charité Universitätsmedizin, Berlin, Department of Infectious Diseases and Respiratory Medicine, 10117 Berlin, Germany.</nlm:affiliation>
<country xml:lang="fr">Allemagne</country>
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<name sortKey="Kurth, Florian" sort="Kurth, Florian" uniqKey="Kurth F" first="Florian" last="Kurth">Florian Kurth</name>
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<country xml:lang="fr">Allemagne</country>
<wicri:regionArea>Charité Universitätsmedizin, Berlin, Department of Infectious Diseases and Respiratory Medicine, 10117 Berlin, Germany; Department of Tropical Medicine, Bernhard Nocht Institute for Tropical Medicine, Hamburg</wicri:regionArea>
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<name sortKey="Sander, Leif Erik" sort="Sander, Leif Erik" uniqKey="Sander L" first="Leif Erik" last="Sander">Leif Erik Sander</name>
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<nlm:affiliation>Charité Universitätsmedizin, Berlin, Department of Infectious Diseases and Respiratory Medicine, 10117 Berlin, Germany.</nlm:affiliation>
<country xml:lang="fr">Allemagne</country>
<wicri:regionArea>Charité Universitätsmedizin, Berlin, Department of Infectious Diseases and Respiratory Medicine, 10117 Berlin</wicri:regionArea>
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<term>Blood Proteins (analysis)</term>
<term>Blood Proteins (metabolism)</term>
<term>Coronavirus Infections (blood)</term>
<term>Coronavirus Infections (classification)</term>
<term>Coronavirus Infections (pathology)</term>
<term>Coronavirus Infections (virology)</term>
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<term>Adulte d'âge moyen (MeSH)</term>
<term>Betacoronavirus (isolement et purification)</term>
<term>Femelle (MeSH)</term>
<term>Humains (MeSH)</term>
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<term>Infections à coronavirus (classification)</term>
<term>Infections à coronavirus (sang)</term>
<term>Infections à coronavirus (virologie)</term>
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<term>Protéines du sang (métabolisme)</term>
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<term>Proteomics</term>
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<term>Protéines du sang</term>
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<term>Protéomique</term>
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<term>Femelle</term>
<term>Humains</term>
<term>Jeune adulte</term>
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<front>
<div type="abstract" xml:lang="en">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.</div>
</front>
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<DateCompleted>
<Year>2020</Year>
<Month>08</Month>
<Day>13</Day>
</DateCompleted>
<DateRevised>
<Year>2020</Year>
<Month>09</Month>
<Day>20</Day>
</DateRevised>
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<Journal>
<ISSN IssnType="Electronic">2405-4720</ISSN>
<JournalIssue CitedMedium="Internet">
<Volume>11</Volume>
<Issue>1</Issue>
<PubDate>
<Year>2020</Year>
<Month>07</Month>
<Day>22</Day>
</PubDate>
</JournalIssue>
<Title>Cell systems</Title>
<ISOAbbreviation>Cell Syst</ISOAbbreviation>
</Journal>
<ArticleTitle>Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection.</ArticleTitle>
<Pagination>
<MedlinePgn>11-24.e4</MedlinePgn>
</Pagination>
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<Abstract>
<AbstractText>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.</AbstractText>
<CopyrightInformation>Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.</CopyrightInformation>
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<LastName>Demichev</LastName>
<ForeName>Vadim</ForeName>
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<Affiliation>The Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW11AT, UK; Department of Biochemistry, The University of Cambridge, Cambridge CB21GA, UK.</Affiliation>
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<LastName>Wendisch</LastName>
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<Affiliation>Charité Universitätsmedizin, Berlin, Department of Infectious Diseases and Respiratory Medicine, 10117 Berlin, Germany.</Affiliation>
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<ForeName>Laura</ForeName>
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</AffiliationInfo>
</Author>
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<LastName>White</LastName>
<ForeName>Matthew</ForeName>
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<Affiliation>Centre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK; Usher Institute, University of Edinburgh, Nine, Edinburgh Bioquarter, 9 Little France Road, Edinburgh EH16 4UX, UK.</Affiliation>
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<LastName>Sander</LastName>
<ForeName>Leif Erik</ForeName>
<Initials>LE</Initials>
<AffiliationInfo>
<Affiliation>Charité Universitätsmedizin, Berlin, Department of Infectious Diseases and Respiratory Medicine, 10117 Berlin, Germany.</Affiliation>
</AffiliationInfo>
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<ForeName>Markus</ForeName>
<Initials>M</Initials>
<AffiliationInfo>
<Affiliation>The Francis Crick Institute, Molecular Biology of Metabolism Laboratory, London NW11AT, UK; Charité Universitätsmedizin, Department of Biochemistry, 10117 Berlin, Germany. Electronic address: markus.ralser@charite.de.</Affiliation>
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<Grant>
<Acronym>WT_</Acronym>
<Agency>Wellcome Trust</Agency>
<Country>United Kingdom</Country>
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<Month>06</Month>
<Day>02</Day>
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<QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName>
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<MeshHeading>
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<DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
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<MeshHeading>
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<Keyword MajorTopicYN="Y">SWATH-MS</Keyword>
<Keyword MajorTopicYN="Y">antiviral immune response</Keyword>
<Keyword MajorTopicYN="Y">clinical classifiers</Keyword>
<Keyword MajorTopicYN="Y">high-throughput proteomics</Keyword>
<Keyword MajorTopicYN="Y">mass spectrometry</Keyword>
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<CoiStatement>Declaration of Interests The authors declare no competing interests.</CoiStatement>
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<Month>05</Month>
<Day>22</Day>
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<Day>27</Day>
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<li>Royaume-Uni</li>
<li>Suède</li>
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<li>Angleterre de l'Est</li>
<li>Berlin</li>
<li>Hambourg</li>
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<li>Berlin</li>
<li>Cambridge</li>
<li>Hambourg</li>
<li>Édimbourg</li>
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<li>Université d'Édimbourg</li>
<li>Université de Cambridge</li>
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<name sortKey="Messner, Christoph B" sort="Messner, Christoph B" uniqKey="Messner C" first="Christoph B" last="Messner">Christoph B. Messner</name>
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<name sortKey="Demichev, Vadim" sort="Demichev, Vadim" uniqKey="Demichev V" first="Vadim" last="Demichev">Vadim Demichev</name>
<name sortKey="Egger, Anna Sophia" sort="Egger, Anna Sophia" uniqKey="Egger A" first="Anna-Sophia" last="Egger">Anna-Sophia Egger</name>
<name sortKey="Hayward, Caroline" sort="Hayward, Caroline" uniqKey="Hayward C" first="Caroline" last="Hayward">Caroline Hayward</name>
<name sortKey="Kreidl, Marco" sort="Kreidl, Marco" uniqKey="Kreidl M" first="Marco" last="Kreidl">Marco Kreidl</name>
<name sortKey="Langenberg, Claudia" sort="Langenberg, Claudia" uniqKey="Langenberg C" first="Claudia" last="Langenberg">Claudia Langenberg</name>
<name sortKey="Lilley, Kathryn S" sort="Lilley, Kathryn S" uniqKey="Lilley K" first="Kathryn S" last="Lilley">Kathryn S. Lilley</name>
<name sortKey="Marioni, Riccardo E" sort="Marioni, Riccardo E" uniqKey="Marioni R" first="Riccardo E" last="Marioni">Riccardo E. Marioni</name>
<name sortKey="Porteous, David J" sort="Porteous, David J" uniqKey="Porteous D" first="David J" last="Porteous">David J. Porteous</name>
<name sortKey="Vernardis, Spyros I" sort="Vernardis, Spyros I" uniqKey="Vernardis S" first="Spyros I" last="Vernardis">Spyros I. Vernardis</name>
<name sortKey="White, Matthew" sort="White, Matthew" uniqKey="White M" first="Matthew" last="White">Matthew White</name>
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<country name="Allemagne">
<region name="Berlin">
<name sortKey="Wendisch, Daniel" sort="Wendisch, Daniel" uniqKey="Wendisch D" first="Daniel" last="Wendisch">Daniel Wendisch</name>
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<name sortKey="Agostini, Federica" sort="Agostini, Federica" uniqKey="Agostini F" first="Federica" last="Agostini">Federica Agostini</name>
<name sortKey="Drosten, Christian" sort="Drosten, Christian" uniqKey="Drosten C" first="Christian" last="Drosten">Christian Drosten</name>
<name sortKey="Freiwald, Anja" sort="Freiwald, Anja" uniqKey="Freiwald A" first="Anja" last="Freiwald">Anja Freiwald</name>
<name sortKey="Hippenstiel, Stefan" sort="Hippenstiel, Stefan" uniqKey="Hippenstiel S" first="Stefan" last="Hippenstiel">Stefan Hippenstiel</name>
<name sortKey="Hocke, Andreas" sort="Hocke, Andreas" uniqKey="Hocke A" first="Andreas" last="Hocke">Andreas Hocke</name>
<name sortKey="Kilian, Christiane" sort="Kilian, Christiane" uniqKey="Kilian C" first="Christiane" last="Kilian">Christiane Kilian</name>
<name sortKey="Kuebler, Wolfgang M" sort="Kuebler, Wolfgang M" uniqKey="Kuebler W" first="Wolfgang M" last="Kuebler">Wolfgang M. Kuebler</name>
<name sortKey="Kurth, Florian" sort="Kurth, Florian" uniqKey="Kurth F" first="Florian" last="Kurth">Florian Kurth</name>
<name sortKey="Ludwig, Daniela" sort="Ludwig, Daniela" uniqKey="Ludwig D" first="Daniela" last="Ludwig">Daniela Ludwig</name>
<name sortKey="Michalick, Laura" sort="Michalick, Laura" uniqKey="Michalick L" first="Laura" last="Michalick">Laura Michalick</name>
<name sortKey="Mulleder, Michael" sort="Mulleder, Michael" uniqKey="Mulleder M" first="Michael" last="Mülleder">Michael Mülleder</name>
<name sortKey="Pfeiffer, Moritz" sort="Pfeiffer, Moritz" uniqKey="Pfeiffer M" first="Moritz" last="Pfeiffer">Moritz Pfeiffer</name>
<name sortKey="Ralser, Markus" sort="Ralser, Markus" uniqKey="Ralser M" first="Markus" last="Ralser">Markus Ralser</name>
<name sortKey="Sander, Leif Erik" sort="Sander, Leif Erik" uniqKey="Sander L" first="Leif Erik" last="Sander">Leif Erik Sander</name>
<name sortKey="Suttorp, Norbert" sort="Suttorp, Norbert" uniqKey="Suttorp N" first="Norbert" last="Suttorp">Norbert Suttorp</name>
<name sortKey="Textoris Taube, Kathrin" sort="Textoris Taube, Kathrin" uniqKey="Textoris Taube K" first="Kathrin" last="Textoris-Taube">Kathrin Textoris-Taube</name>
<name sortKey="Thibeault, Charlotte" sort="Thibeault, Charlotte" uniqKey="Thibeault C" first="Charlotte" last="Thibeault">Charlotte Thibeault</name>
<name sortKey="Von Kalle, Christof" sort="Von Kalle, Christof" uniqKey="Von Kalle C" first="Christof" last="Von Kalle">Christof Von Kalle</name>
<name sortKey="Witzenrath, Martin" sort="Witzenrath, Martin" uniqKey="Witzenrath M" first="Martin" last="Witzenrath">Martin Witzenrath</name>
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<country name="Suède">
<noRegion>
<name sortKey="Zelezniak, Aleksej" sort="Zelezniak, Aleksej" uniqKey="Zelezniak A" first="Aleksej" last="Zelezniak">Aleksej Zelezniak</name>
</noRegion>
</country>
</tree>
</affiliations>
</record>

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