Initial performance evaluation of a spotted array Mobile Analysis Platform (MAP) for the detection of influenza A/B, RSV, and MERS coronavirus☆☆☆
Identifieur interne : 000556 ( Pmc/Checkpoint ); précédent : 000555; suivant : 000557Initial performance evaluation of a spotted array Mobile Analysis Platform (MAP) for the detection of influenza A/B, RSV, and MERS coronavirus☆☆☆
Auteurs : Justin Hardick [États-Unis] ; David Metzgar [États-Unis] ; Lisa Risen [États-Unis] ; Christopher Myers [États-Unis] ; Melinda Balansay [États-Unis] ; Trent Malcom [États-Unis] ; Richard Rothman [États-Unis] ; Charlotte Gaydos [États-Unis]Source :
- Diagnostic Microbiology and Infectious Disease [ 0732-8893 ] ; 2018.
Abstract
Clinical samples were evaluated with the Mobile Analysis Platform (MAP) to determine platform performance for detecting respiratory viruses in samples previously characterized using clinical reverse transcriptase polymerase chain reaction assays. The percent agreement between MAP and clinical results was 97% for influenza A (73/75), 100% (21/21) for influenza B, 100% (6/6) for respiratory syncytial virus (RSV), and 80% (4/5) for negative specimens. The approximate limit of detection of the MAP was 30 copies/assay for RSV and 1500 copies/assay for Middle East respiratory syndrome coronavirus.
Url:
DOI: 10.1016/j.diagmicrobio.2018.02.011
PubMed: 29550057
PubMed Central: 6013072
Affiliations:
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uniqKey="Metzgar D" first="David" last="Metzgar">David Metzgar</name><affiliation wicri:level="2"><nlm:aff id="af0010">Ibis Biosciences, Carlsbad, CA, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Ibis Biosciences, Carlsbad, CA</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Risen, Lisa" sort="Risen, Lisa" uniqKey="Risen L" first="Lisa" last="Risen">Lisa Risen</name><affiliation wicri:level="2"><nlm:aff id="af0010">Ibis Biosciences, Carlsbad, CA, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Ibis Biosciences, Carlsbad, CA</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Myers, Christopher" sort="Myers, Christopher" uniqKey="Myers C" first="Christopher" last="Myers">Christopher Myers</name><affiliation wicri:level="2"><nlm:aff id="af0015">Naval Health Research Center, San Diego, CA, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Naval Health Research Center, San Diego, CA</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Balansay, Melinda" sort="Balansay, Melinda" uniqKey="Balansay M" first="Melinda" last="Balansay">Melinda Balansay</name><affiliation wicri:level="2"><nlm:aff id="af0015">Naval Health Research Center, San Diego, CA, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Naval Health Research Center, San Diego, CA</wicri:regionArea><placeName><region type="state">Californie</region></placeName></affiliation></author><author><name sortKey="Malcom, Trent" sort="Malcom, Trent" uniqKey="Malcom T" first="Trent" last="Malcom">Trent Malcom</name><affiliation wicri:level="2"><nlm:aff id="af0020">Johns Hopkins University Department of Emergency Medicine, Baltimore, MD, USA</nlm:aff><country 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Diseases, Baltimore, MD, USA</nlm:aff><country xml:lang="fr">États-Unis</country><wicri:regionArea>Johns Hopkins University School of Medicine, Division of Infectious Diseases, Baltimore, MD</wicri:regionArea><placeName><region type="state">Maryland</region></placeName></affiliation></author></analytic><series><title level="j">Diagnostic Microbiology and Infectious Disease</title><idno type="ISSN">0732-8893</idno><idno type="eISSN">1879-0070</idno><imprint><date when="2018">2018</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>Clinical samples were evaluated with the Mobile Analysis Platform (MAP) to determine platform performance for detecting respiratory viruses in samples previously characterized using clinical reverse transcriptase polymerase chain reaction assays. The percent agreement between MAP and clinical results was 97% for influenza A (73/75), 100% (21/21) for influenza B, 100% (6/6) for respiratory syncytial virus (RSV), and 80% (4/5) for negative specimens. The approximate limit of detection of the MAP was 30 copies/assay for RSV and 1500 copies/assay for Middle East respiratory syndrome coronavirus.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Berry, M" uniqKey="Berry M">M. Berry</name></author><author><name sortKey="Gamieldien, J" uniqKey="Gamieldien J">J. Gamieldien</name></author><author><name sortKey="Fielding, B C" uniqKey="Fielding B">B.C. Fielding</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Bhadra, S" uniqKey="Bhadra S">S. Bhadra</name></author><author><name sortKey="Jiang, Y S" uniqKey="Jiang Y">Y.S. Jiang</name></author><author><name sortKey="Kumar, M R" uniqKey="Kumar M">M.R. 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Gubareva</name></author><author><name sortKey="Garten, R J" uniqKey="Garten R">R.J. Garten</name></author><author><name sortKey="Chung, J R" uniqKey="Chung J">J.R. Chung</name></author><author><name sortKey="Nowalk, M P" uniqKey="Nowalk M">M.P. Nowalk</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Mahony, J B" uniqKey="Mahony J">J.B. Mahony</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Mahony, J B" uniqKey="Mahony J">J.B. Mahony</name></author><author><name sortKey="Petrich, A" uniqKey="Petrich A">A. Petrich</name></author><author><name sortKey="Smieja, M" uniqKey="Smieja M">M. Smieja</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Raj, V S" uniqKey="Raj V">V.S. Raj</name></author><author><name sortKey="Osterhaus, A D" uniqKey="Osterhaus A">A.D. Osterhaus</name></author><author><name sortKey="Fouchier, R A" uniqKey="Fouchier R">R.A. 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<front><journal-meta><journal-id journal-id-type="nlm-ta">Diagn Microbiol Infect Dis</journal-id><journal-id journal-id-type="iso-abbrev">Diagn. Microbiol. Infect. Dis</journal-id><journal-title-group><journal-title>Diagnostic Microbiology and Infectious Disease</journal-title></journal-title-group><issn pub-type="ppub">0732-8893</issn><issn pub-type="epub">1879-0070</issn><publisher><publisher-name>Elsevier Inc.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">29550057</article-id><article-id pub-id-type="pmc">6013072</article-id><article-id pub-id-type="publisher-id">S0732-8893(18)30070-1</article-id><article-id pub-id-type="doi">10.1016/j.diagmicrobio.2018.02.011</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Initial performance evaluation of a spotted array Mobile Analysis Platform (MAP) for the detection of influenza A/B, RSV, and MERS coronavirus<sup><xref ref-type="fn" rid="d32e608">☆</xref></sup><sup><xref ref-type="fn" rid="d32e615">☆☆</xref></sup></article-title></title-group><contrib-group><contrib contrib-type="author" id="au0005"><name><surname>Hardick</surname><given-names>Justin</given-names></name><email>jhardic1@jhmi.edu</email><xref rid="af0005" ref-type="aff">a</xref><xref rid="cr0005" ref-type="corresp">⁎</xref></contrib><contrib contrib-type="author" id="au0010"><name><surname>Metzgar</surname><given-names>David</given-names></name><xref rid="af0010" ref-type="aff">b</xref></contrib><contrib contrib-type="author" id="au0015"><name><surname>Risen</surname><given-names>Lisa</given-names></name><xref rid="af0010" ref-type="aff">b</xref></contrib><contrib contrib-type="author" id="au0020"><name><surname>Myers</surname><given-names>Christopher</given-names></name><xref rid="af0015" ref-type="aff">c</xref></contrib><contrib contrib-type="author" id="au0025"><name><surname>Balansay</surname><given-names>Melinda</given-names></name><xref rid="af0015" ref-type="aff">c</xref></contrib><contrib contrib-type="author" id="au0030"><name><surname>Malcom</surname><given-names>Trent</given-names></name><xref rid="af0020" ref-type="aff">d</xref></contrib><contrib contrib-type="author" id="au0035"><name><surname>Rothman</surname><given-names>Richard</given-names></name><xref rid="af0020" ref-type="aff">d</xref></contrib><contrib contrib-type="author" id="au0040"><name><surname>Gaydos</surname><given-names>Charlotte</given-names></name><xref rid="af0005" ref-type="aff">a</xref></contrib></contrib-group><aff id="af0005"><label>a</label>Johns Hopkins University School of Medicine, Division of Infectious Diseases, Baltimore, MD, USA</aff><aff id="af0010"><label>b</label>Ibis Biosciences, Carlsbad, CA, USA</aff><aff id="af0015"><label>c</label>Naval Health Research Center, San Diego, CA, USA</aff><aff id="af0020"><label>d</label>Johns Hopkins University Department of Emergency Medicine, Baltimore, MD, USA</aff><author-notes><corresp id="cr0005"><label>⁎</label>Corresponding author. Tel.: +443-287-5403. <email>jhardic1@jhmi.edu</email></corresp></author-notes><pub-date pub-type="pmc-release"><day>17</day><month>2</month><year>2018</year></pub-date><pmc-comment> PMC Release delay is 0 months and 0 days and was based on .</pmc-comment>
<pub-date pub-type="ppub"><month>7</month><year>2018</year></pub-date><pub-date pub-type="epub"><day>17</day><month>2</month><year>2018</year></pub-date><volume>91</volume><issue>3</issue><fpage>245</fpage><lpage>247</lpage><history><date date-type="received"><day>6</day><month>11</month><year>2017</year></date><date date-type="rev-recd"><day>26</day><month>1</month><year>2018</year></date><date date-type="accepted"><day>15</day><month>2</month><year>2018</year></date></history><permissions><copyright-statement>© 2018 Elsevier Inc. All rights reserved.</copyright-statement><copyright-year>2018</copyright-year><copyright-holder></copyright-holder><license><license-p>Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.</license-p></license></permissions><abstract id="ab0005"><p>Clinical samples were evaluated with the Mobile Analysis Platform (MAP) to determine platform performance for detecting respiratory viruses in samples previously characterized using clinical reverse transcriptase polymerase chain reaction assays. The percent agreement between MAP and clinical results was 97% for influenza A (73/75), 100% (21/21) for influenza B, 100% (6/6) for respiratory syncytial virus (RSV), and 80% (4/5) for negative specimens. The approximate limit of detection of the MAP was 30 copies/assay for RSV and 1500 copies/assay for Middle East respiratory syndrome coronavirus.</p></abstract><kwd-group id="ks0005"><title>Keywords</title><kwd>Respiratory viruses</kwd><kwd>Point-of-care diagnostics</kwd><kwd>MERS</kwd></kwd-group></article-meta></front></pmc><affiliations><list><country><li>États-Unis</li></country><region><li>Californie</li><li>Maryland</li></region></list><tree><country name="États-Unis"><region name="Maryland"><name sortKey="Hardick, Justin" sort="Hardick, Justin" uniqKey="Hardick J" first="Justin" last="Hardick">Justin Hardick</name></region><name sortKey="Balansay, Melinda" sort="Balansay, Melinda" uniqKey="Balansay M" first="Melinda" last="Balansay">Melinda Balansay</name><name sortKey="Gaydos, Charlotte" sort="Gaydos, Charlotte" uniqKey="Gaydos C" first="Charlotte" last="Gaydos">Charlotte Gaydos</name><name sortKey="Malcom, Trent" sort="Malcom, Trent" uniqKey="Malcom T" first="Trent" last="Malcom">Trent Malcom</name><name sortKey="Metzgar, David" sort="Metzgar, David" uniqKey="Metzgar D" first="David" last="Metzgar">David Metzgar</name><name sortKey="Myers, Christopher" sort="Myers, Christopher" uniqKey="Myers C" first="Christopher" last="Myers">Christopher Myers</name><name sortKey="Risen, Lisa" sort="Risen, Lisa" uniqKey="Risen L" first="Lisa" last="Risen">Lisa Risen</name><name sortKey="Rothman, Richard" sort="Rothman, Richard" uniqKey="Rothman R" first="Richard" last="Rothman">Richard Rothman</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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