Establishment and Application of a Universal Coronavirus Screening Method Using MALDI-TOF Mass Spectrometry
Identifieur interne : 000898 ( Pmc/Curation ); précédent : 000897; suivant : 000899Establishment and Application of a Universal Coronavirus Screening Method Using MALDI-TOF Mass Spectrometry
Auteurs : Leshan Xiu ; Chi Zhang ; Zhiqiang Wu ; Junping PengSource :
- Frontiers in Microbiology [ 1664-302X ] ; 2017.
Abstract
There are four human coronaviruses (HCoVs), distributed worldwide, that are associated with a range of respiratory symptoms. The discovery of severe acute respiratory syndrome (SARS)-CoV and Middle East respiratory syndrome (MERS)-CoV shows that HCoVs pose a significant threat to human health. Our work aims to develop a sensitive method (mCoV-MS) which can not only identify known HCoVs accurately, but also have the ability to provide clues for the emerging HCoVs. The method was performed using a MassARRAY matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) system. We developed a 17-plex analysis to detect six HCoVs in Panel A and another 17-plex analysis to detect
Url:
DOI: 10.3389/fmicb.2017.01510
PubMed: 28848521
PubMed Central: 5552709
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<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Establishment and Application of a Universal Coronavirus Screening Method Using MALDI-TOF Mass Spectrometry</title>
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<author><name sortKey="Zhang, Chi" sort="Zhang, Chi" uniqKey="Zhang C" first="Chi" last="Zhang">Chi Zhang</name>
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<author><name sortKey="Wu, Zhiqiang" sort="Wu, Zhiqiang" uniqKey="Wu Z" first="Zhiqiang" last="Wu">Zhiqiang Wu</name>
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<series><title level="j">Frontiers in Microbiology</title>
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<front><div type="abstract" xml:lang="en"><p>There are four human coronaviruses (HCoVs), distributed worldwide, that are associated with a range of respiratory symptoms. The discovery of severe acute respiratory syndrome (SARS)-CoV and Middle East respiratory syndrome (MERS)-CoV shows that HCoVs pose a significant threat to human health. Our work aims to develop a sensitive method (mCoV-MS) which can not only identify known HCoVs accurately, but also have the ability to provide clues for the emerging HCoVs. The method was performed using a MassARRAY matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) system. We developed a 17-plex analysis to detect six HCoVs in Panel A and another 17-plex analysis to detect <italic>Alphacoronavirus</italic>
and <italic>Betacoronavirus</italic>
in Panel B. All tested primers and probes for the mCoV-MS method were effective, with no cross-reactivity observed with other common respiratory viruses. To confirm the usefulness of the mCoV-MS method we screened 384 pharyngeal and/or anal swab samples collected from bats/rodents, and 131 nasal and throat swabs from human patients. The results showed good concordance with the results of metagenomic analysis or PCR-sequencing. The validation test showed mCoV-MS method can detect potentially pathogenic CoVs in <italic>Alphacoronavirus</italic>
and <italic>Betacoronavirus</italic>
and provide convincingly phylogenetic evidences about unknown CoVs. The mCoV-MS method is a sensitive assay that is relatively simple to carry out. We propose that this method be used to complement next generation sequencing technology for large-scale screening studies.</p>
</div>
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<pmc article-type="methods-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Front Microbiol</journal-id>
<journal-id journal-id-type="iso-abbrev">Front Microbiol</journal-id>
<journal-id journal-id-type="publisher-id">Front. Microbiol.</journal-id>
<journal-title-group><journal-title>Frontiers in Microbiology</journal-title>
</journal-title-group>
<issn pub-type="epub">1664-302X</issn>
<publisher><publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">28848521</article-id>
<article-id pub-id-type="pmc">5552709</article-id>
<article-id pub-id-type="doi">10.3389/fmicb.2017.01510</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Microbiology</subject>
<subj-group><subject>Methods</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group><article-title>Establishment and Application of a Universal Coronavirus Screening Method Using MALDI-TOF Mass Spectrometry</article-title>
</title-group>
<contrib-group><contrib contrib-type="author"><name><surname>Xiu</surname>
<given-names>Leshan</given-names>
</name>
<xref ref-type="author-notes" rid="fn003"><sup>†</sup>
</xref>
<uri xlink:type="simple" xlink:href="http://loop.frontiersin.org/people/451213/overview"></uri>
</contrib>
<contrib contrib-type="author"><name><surname>Zhang</surname>
<given-names>Chi</given-names>
</name>
<xref ref-type="author-notes" rid="fn003"><sup>†</sup>
</xref>
<uri xlink:type="simple" xlink:href="http://loop.frontiersin.org/people/451327/overview"></uri>
</contrib>
<contrib contrib-type="author"><name><surname>Wu</surname>
<given-names>Zhiqiang</given-names>
</name>
<uri xlink:type="simple" xlink:href="http://loop.frontiersin.org/people/464802/overview"></uri>
</contrib>
<contrib contrib-type="author"><name><surname>Peng</surname>
<given-names>Junping</given-names>
</name>
<xref ref-type="author-notes" rid="fn001"><sup>*</sup>
</xref>
<uri xlink:type="simple" xlink:href="http://loop.frontiersin.org/people/256321/overview"></uri>
</contrib>
</contrib-group>
<aff><institution>Ministry of Health Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College</institution>
<country>Beijing, China</country>
</aff>
<author-notes><fn fn-type="edited-by"><p>Edited by: John W. A. Rossen, University Medical Center Groningen, Netherlands</p>
</fn>
<fn fn-type="edited-by"><p>Reviewed by: Yigang Tong, Beijing Institute of Microbiology and Epidemiology, China; Guido Alberto König, Instituto Nacional de Tecnología Agropecuaria (INTA), Argentina</p>
</fn>
<corresp id="fn001">*Correspondence: Junping Peng <email xlink:type="simple">pengjp@hotmail.com</email>
</corresp>
<fn fn-type="other" id="fn002"><p>This article was submitted to Infectious Diseases, a section of the journal Frontiers in Microbiology</p>
</fn>
<fn fn-type="other" id="fn003"><p>†These authors have contributed equally to this work.</p>
</fn>
</author-notes>
<pub-date pub-type="epub"><day>09</day>
<month>8</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="collection"><year>2017</year>
</pub-date>
<volume>8</volume>
<elocation-id>1510</elocation-id>
<history><date date-type="received"><day>16</day>
<month>6</month>
<year>2017</year>
</date>
<date date-type="accepted"><day>27</day>
<month>7</month>
<year>2017</year>
</date>
</history>
<permissions><copyright-statement>Copyright © 2017 Xiu, Zhang, Wu and Peng.</copyright-statement>
<copyright-year>2017</copyright-year>
<copyright-holder>Xiu, Zhang, Wu and Peng</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><license-p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract><p>There are four human coronaviruses (HCoVs), distributed worldwide, that are associated with a range of respiratory symptoms. The discovery of severe acute respiratory syndrome (SARS)-CoV and Middle East respiratory syndrome (MERS)-CoV shows that HCoVs pose a significant threat to human health. Our work aims to develop a sensitive method (mCoV-MS) which can not only identify known HCoVs accurately, but also have the ability to provide clues for the emerging HCoVs. The method was performed using a MassARRAY matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) system. We developed a 17-plex analysis to detect six HCoVs in Panel A and another 17-plex analysis to detect <italic>Alphacoronavirus</italic>
and <italic>Betacoronavirus</italic>
in Panel B. All tested primers and probes for the mCoV-MS method were effective, with no cross-reactivity observed with other common respiratory viruses. To confirm the usefulness of the mCoV-MS method we screened 384 pharyngeal and/or anal swab samples collected from bats/rodents, and 131 nasal and throat swabs from human patients. The results showed good concordance with the results of metagenomic analysis or PCR-sequencing. The validation test showed mCoV-MS method can detect potentially pathogenic CoVs in <italic>Alphacoronavirus</italic>
and <italic>Betacoronavirus</italic>
and provide convincingly phylogenetic evidences about unknown CoVs. The mCoV-MS method is a sensitive assay that is relatively simple to carry out. We propose that this method be used to complement next generation sequencing technology for large-scale screening studies.</p>
</abstract>
<kwd-group><kwd>coronavirus</kwd>
<kwd>human coronavirus</kwd>
<kwd>MALDI-TOF mass spectrometry</kwd>
<kwd>respiratory infection</kwd>
<kwd>detection</kwd>
</kwd-group>
<funding-group><award-group><funding-source id="cn001">Ministry of Science and Technology of the People's Republic of China<named-content content-type="fundref-id">10.13039/501100002855</named-content>
</funding-source>
<award-id rid="cn001">2014ZX10004001</award-id>
<award-id rid="cn001">2016YFC1202704</award-id>
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