Seroepidemiology for MERS coronavirus using microneutralisation and pseudoparticle virus neutralisation assays reveal a high prevalence of antibody in dromedary camels in Egypt, June 2013.
Identifieur interne : 001B70 ( PubMed/Corpus ); précédent : 001B69; suivant : 001B71Seroepidemiology for MERS coronavirus using microneutralisation and pseudoparticle virus neutralisation assays reveal a high prevalence of antibody in dromedary camels in Egypt, June 2013.
Auteurs : R A Perera ; P. Wang ; M R Gomaa ; R. El-Shesheny ; A. Kandeil ; O. Bagato ; L Y Siu ; M M Shehata ; A S Kayed ; Y. Moatasim ; M. Li ; L L Poon ; Y. Guan ; R J Webby ; M A Ali ; J S Peiris ; G. KayaliSource :
- Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin [ 1560-7917 ] ; 2013.
English descriptors
- KwdEn :
- Adolescent, Adult, Aged, Animals, Antibodies, Neutralizing (blood), Antibodies, Viral (blood), Buffaloes (blood), Camelus (blood), Case-Control Studies, Cattle (blood), Child, Child, Preschool, Coronavirus (immunology), Coronavirus (isolation & purification), Coronavirus Infections (blood), Coronavirus Infections (epidemiology), Coronavirus Infections (virology), Egypt (epidemiology), Female, Humans, Male, Middle Aged, Prevalence, Respiratory Tract Infections (blood), Respiratory Tract Infections (epidemiology), Respiratory Tract Infections (virology), Seroepidemiologic Studies, Young Adult.
- MESH :
- chemical , blood : Antibodies, Neutralizing, Antibodies, Viral.
- blood : Buffaloes, Camelus, Cattle, Coronavirus Infections, Respiratory Tract Infections.
- epidemiology : Coronavirus Infections, Egypt, Respiratory Tract Infections.
- immunology : Coronavirus.
- isolation & purification : Coronavirus.
- virology : Coronavirus Infections, Respiratory Tract Infections.
- Adolescent, Adult, Aged, Animals, Case-Control Studies, Child, Child, Preschool, Female, Humans, Male, Middle Aged, Prevalence, Seroepidemiologic Studies, Young Adult.
Abstract
We describe a novel spike pseudoparticle neutralisation assay (ppNT) for seroepidemiological studies on Middle East respiratory syndrome coronavirus (MERSCoV) and apply this assay together with conventional microneutralisation (MN) tests to investigate 1,343 human and 625 animal sera. The sera were collected in Egypt as a region adjacent to areas where MERS has been described, and in Hong Kong, China as a control region. Sera from dromedary camels had a high prevalence of antibody reactive to MERS-CoV by MERS NT (93.6%) and MERS ppNT (98.2%) assay. The antibody titres ranged up to 1,280 and higher in MN assays and 10,240 and higher in ppNT assays. No other investigated species had any antibody reactivity to MERS-CoV. While seropositivity does not exclude the possibility of infection with a closely related virus, our data highlight the need to attempt detection of MERSCoV or related coronaviruses in dromedary camels. The data show excellent correlation between the conventional MN assay and the novel ppNT assay. The newly developed ppNT assay does not require Biosafety Level 3 containment and is thus a relatively high-throughput assay, well suited for large-scale seroepidemiology studies which are needed to better understand the ecology and epidemiology of MERS-CoV.
DOI: 10.2807/1560-7917.es2013.18.36.20574
PubMed: 24079378
Links to Exploration step
pubmed:24079378Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Seroepidemiology for MERS coronavirus using microneutralisation and pseudoparticle virus neutralisation assays reveal a high prevalence of antibody in dromedary camels in Egypt, June 2013.</title><author><name sortKey="Perera, R A" sort="Perera, R A" uniqKey="Perera R" first="R A" last="Perera">R A Perera</name><affiliation><nlm:affiliation>Centre of Influenza Research, School of Public Health, The University of Hong Kong, Hong Kong, China.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, P" sort="Wang, P" uniqKey="Wang P" first="P" last="Wang">P. Wang</name></author><author><name sortKey="Gomaa, M R" sort="Gomaa, M R" uniqKey="Gomaa M" first="M R" last="Gomaa">M R Gomaa</name></author><author><name sortKey="El Shesheny, R" sort="El Shesheny, R" uniqKey="El Shesheny R" first="R" last="El-Shesheny">R. El-Shesheny</name></author><author><name sortKey="Kandeil, A" sort="Kandeil, A" uniqKey="Kandeil A" first="A" last="Kandeil">A. Kandeil</name></author><author><name sortKey="Bagato, O" sort="Bagato, O" uniqKey="Bagato O" first="O" last="Bagato">O. Bagato</name></author><author><name sortKey="Siu, L Y" sort="Siu, L Y" uniqKey="Siu L" first="L Y" last="Siu">L Y Siu</name></author><author><name sortKey="Shehata, M M" sort="Shehata, M M" uniqKey="Shehata M" first="M M" last="Shehata">M M Shehata</name></author><author><name sortKey="Kayed, A S" sort="Kayed, A S" uniqKey="Kayed A" first="A S" last="Kayed">A S Kayed</name></author><author><name sortKey="Moatasim, Y" sort="Moatasim, Y" uniqKey="Moatasim Y" first="Y" last="Moatasim">Y. Moatasim</name></author><author><name sortKey="Li, M" sort="Li, M" uniqKey="Li M" first="M" last="Li">M. Li</name></author><author><name sortKey="Poon, L L" sort="Poon, L L" uniqKey="Poon L" first="L L" last="Poon">L L Poon</name></author><author><name sortKey="Guan, Y" sort="Guan, Y" uniqKey="Guan Y" first="Y" last="Guan">Y. Guan</name></author><author><name sortKey="Webby, R J" sort="Webby, R J" uniqKey="Webby R" first="R J" last="Webby">R J Webby</name></author><author><name sortKey="Ali, M A" sort="Ali, M A" uniqKey="Ali M" first="M A" last="Ali">M A Ali</name></author><author><name sortKey="Peiris, J S" sort="Peiris, J S" uniqKey="Peiris J" first="J S" last="Peiris">J S Peiris</name></author><author><name sortKey="Kayali, G" sort="Kayali, G" uniqKey="Kayali G" first="G" last="Kayali">G. Kayali</name></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2013">2013</date><idno type="RBID">pubmed:24079378</idno><idno type="pmid">24079378</idno><idno type="doi">10.2807/1560-7917.es2013.18.36.20574</idno><idno type="wicri:Area/PubMed/Corpus">001B70</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">001B70</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Seroepidemiology for MERS coronavirus using microneutralisation and pseudoparticle virus neutralisation assays reveal a high prevalence of antibody in dromedary camels in Egypt, June 2013.</title><author><name sortKey="Perera, R A" sort="Perera, R A" uniqKey="Perera R" first="R A" last="Perera">R A Perera</name><affiliation><nlm:affiliation>Centre of Influenza Research, School of Public Health, The University of Hong Kong, Hong Kong, China.</nlm:affiliation></affiliation></author><author><name sortKey="Wang, P" sort="Wang, P" uniqKey="Wang P" first="P" last="Wang">P. Wang</name></author><author><name sortKey="Gomaa, M R" sort="Gomaa, M R" uniqKey="Gomaa M" first="M R" last="Gomaa">M R Gomaa</name></author><author><name sortKey="El Shesheny, R" sort="El Shesheny, R" uniqKey="El Shesheny R" first="R" last="El-Shesheny">R. El-Shesheny</name></author><author><name sortKey="Kandeil, A" sort="Kandeil, A" uniqKey="Kandeil A" first="A" last="Kandeil">A. Kandeil</name></author><author><name sortKey="Bagato, O" sort="Bagato, O" uniqKey="Bagato O" first="O" last="Bagato">O. Bagato</name></author><author><name sortKey="Siu, L Y" sort="Siu, L Y" uniqKey="Siu L" first="L Y" last="Siu">L Y Siu</name></author><author><name sortKey="Shehata, M M" sort="Shehata, M M" uniqKey="Shehata M" first="M M" last="Shehata">M M Shehata</name></author><author><name sortKey="Kayed, A S" sort="Kayed, A S" uniqKey="Kayed A" first="A S" last="Kayed">A S Kayed</name></author><author><name sortKey="Moatasim, Y" sort="Moatasim, Y" uniqKey="Moatasim Y" first="Y" last="Moatasim">Y. Moatasim</name></author><author><name sortKey="Li, M" sort="Li, M" uniqKey="Li M" first="M" last="Li">M. Li</name></author><author><name sortKey="Poon, L L" sort="Poon, L L" uniqKey="Poon L" first="L L" last="Poon">L L Poon</name></author><author><name sortKey="Guan, Y" sort="Guan, Y" uniqKey="Guan Y" first="Y" last="Guan">Y. Guan</name></author><author><name sortKey="Webby, R J" sort="Webby, R J" uniqKey="Webby R" first="R J" last="Webby">R J Webby</name></author><author><name sortKey="Ali, M A" sort="Ali, M A" uniqKey="Ali M" first="M A" last="Ali">M A Ali</name></author><author><name sortKey="Peiris, J S" sort="Peiris, J S" uniqKey="Peiris J" first="J S" last="Peiris">J S Peiris</name></author><author><name sortKey="Kayali, G" sort="Kayali, G" uniqKey="Kayali G" first="G" last="Kayali">G. Kayali</name></author></analytic><series><title level="j">Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin</title><idno type="eISSN">1560-7917</idno><imprint><date when="2013" type="published">2013</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Aged</term><term>Animals</term><term>Antibodies, Neutralizing (blood)</term><term>Antibodies, Viral (blood)</term><term>Buffaloes (blood)</term><term>Camelus (blood)</term><term>Case-Control Studies</term><term>Cattle (blood)</term><term>Child</term><term>Child, Preschool</term><term>Coronavirus (immunology)</term><term>Coronavirus (isolation & purification)</term><term>Coronavirus Infections (blood)</term><term>Coronavirus Infections (epidemiology)</term><term>Coronavirus Infections (virology)</term><term>Egypt (epidemiology)</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Prevalence</term><term>Respiratory Tract Infections (blood)</term><term>Respiratory Tract Infections (epidemiology)</term><term>Respiratory Tract Infections (virology)</term><term>Seroepidemiologic Studies</term><term>Young Adult</term></keywords><keywords scheme="MESH" type="chemical" qualifier="blood" xml:lang="en"><term>Antibodies, Neutralizing</term><term>Antibodies, Viral</term></keywords><keywords scheme="MESH" qualifier="blood" xml:lang="en"><term>Buffaloes</term><term>Camelus</term><term>Cattle</term><term>Coronavirus Infections</term><term>Respiratory Tract Infections</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term><term>Egypt</term><term>Respiratory Tract Infections</term></keywords><keywords scheme="MESH" qualifier="immunology" xml:lang="en"><term>Coronavirus</term></keywords><keywords scheme="MESH" qualifier="isolation & purification" xml:lang="en"><term>Coronavirus</term></keywords><keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Coronavirus Infections</term><term>Respiratory Tract Infections</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Aged</term><term>Animals</term><term>Case-Control Studies</term><term>Child</term><term>Child, Preschool</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Prevalence</term><term>Seroepidemiologic Studies</term><term>Young Adult</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">We describe a novel spike pseudoparticle neutralisation assay (ppNT) for seroepidemiological studies on Middle East respiratory syndrome coronavirus (MERSCoV) and apply this assay together with conventional microneutralisation (MN) tests to investigate 1,343 human and 625 animal sera. The sera were collected in Egypt as a region adjacent to areas where MERS has been described, and in Hong Kong, China as a control region. Sera from dromedary camels had a high prevalence of antibody reactive to MERS-CoV by MERS NT (93.6%) and MERS ppNT (98.2%) assay. The antibody titres ranged up to 1,280 and higher in MN assays and 10,240 and higher in ppNT assays. No other investigated species had any antibody reactivity to MERS-CoV. While seropositivity does not exclude the possibility of infection with a closely related virus, our data highlight the need to attempt detection of MERSCoV or related coronaviruses in dromedary camels. The data show excellent correlation between the conventional MN assay and the novel ppNT assay. The newly developed ppNT assay does not require Biosafety Level 3 containment and is thus a relatively high-throughput assay, well suited for large-scale seroepidemiology studies which are needed to better understand the ecology and epidemiology of MERS-CoV.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">24079378</PMID><DateCompleted><Year>2013</Year><Month>12</Month><Day>05</Day></DateCompleted><DateRevised><Year>2019</Year><Month>06</Month><Day>08</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1560-7917</ISSN><JournalIssue CitedMedium="Internet"><Volume>18</Volume><Issue>36</Issue><PubDate><Year>2013</Year><Month>Sep</Month><Day>05</Day></PubDate></JournalIssue><Title>Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin</Title><ISOAbbreviation>Euro Surveill.</ISOAbbreviation></Journal><ArticleTitle>Seroepidemiology for MERS coronavirus using microneutralisation and pseudoparticle virus neutralisation assays reveal a high prevalence of antibody in dromedary camels in Egypt, June 2013.</ArticleTitle><Pagination><MedlinePgn>pii=20574</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">20574</ELocationID><Abstract><AbstractText>We describe a novel spike pseudoparticle neutralisation assay (ppNT) for seroepidemiological studies on Middle East respiratory syndrome coronavirus (MERSCoV) and apply this assay together with conventional microneutralisation (MN) tests to investigate 1,343 human and 625 animal sera. The sera were collected in Egypt as a region adjacent to areas where MERS has been described, and in Hong Kong, China as a control region. Sera from dromedary camels had a high prevalence of antibody reactive to MERS-CoV by MERS NT (93.6%) and MERS ppNT (98.2%) assay. The antibody titres ranged up to 1,280 and higher in MN assays and 10,240 and higher in ppNT assays. No other investigated species had any antibody reactivity to MERS-CoV. While seropositivity does not exclude the possibility of infection with a closely related virus, our data highlight the need to attempt detection of MERSCoV or related coronaviruses in dromedary camels. The data show excellent correlation between the conventional MN assay and the novel ppNT assay. The newly developed ppNT assay does not require Biosafety Level 3 containment and is thus a relatively high-throughput assay, well suited for large-scale seroepidemiology studies which are needed to better understand the ecology and epidemiology of MERS-CoV.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Perera</LastName><ForeName>R A</ForeName><Initials>RA</Initials><AffiliationInfo><Affiliation>Centre of Influenza Research, School of Public Health, The University of Hong Kong, Hong Kong, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>P</ForeName><Initials>P</Initials></Author><Author ValidYN="Y"><LastName>Gomaa</LastName><ForeName>M R</ForeName><Initials>MR</Initials></Author><Author ValidYN="Y"><LastName>El-Shesheny</LastName><ForeName>R</ForeName><Initials>R</Initials></Author><Author ValidYN="Y"><LastName>Kandeil</LastName><ForeName>A</ForeName><Initials>A</Initials></Author><Author ValidYN="Y"><LastName>Bagato</LastName><ForeName>O</ForeName><Initials>O</Initials></Author><Author ValidYN="Y"><LastName>Siu</LastName><ForeName>L Y</ForeName><Initials>LY</Initials></Author><Author ValidYN="Y"><LastName>Shehata</LastName><ForeName>M M</ForeName><Initials>MM</Initials></Author><Author ValidYN="Y"><LastName>Kayed</LastName><ForeName>A S</ForeName><Initials>AS</Initials></Author><Author ValidYN="Y"><LastName>Moatasim</LastName><ForeName>Y</ForeName><Initials>Y</Initials></Author><Author ValidYN="Y"><LastName>Li</LastName><ForeName>M</ForeName><Initials>M</Initials></Author><Author ValidYN="Y"><LastName>Poon</LastName><ForeName>L L</ForeName><Initials>LL</Initials></Author><Author ValidYN="Y"><LastName>Guan</LastName><ForeName>Y</ForeName><Initials>Y</Initials></Author><Author ValidYN="Y"><LastName>Webby</LastName><ForeName>R J</ForeName><Initials>RJ</Initials></Author><Author ValidYN="Y"><LastName>Ali</LastName><ForeName>M A</ForeName><Initials>MA</Initials></Author><Author ValidYN="Y"><LastName>Peiris</LastName><ForeName>J S</ForeName><Initials>JS</Initials></Author><Author ValidYN="Y"><LastName>Kayali</LastName><ForeName>G</ForeName><Initials>G</Initials></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>HHSN266200700005C</GrantID><Agency>PHS HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2013</Year><Month>09</Month><Day>05</Day></ArticleDate></Article><MedlineJournalInfo><Country>Sweden</Country><MedlineTA>Euro Surveill</MedlineTA><NlmUniqueID>100887452</NlmUniqueID><ISSNLinking>1025-496X</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D057134">Antibodies, Neutralizing</NameOfSubstance></Chemical><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D000914">Antibodies, Viral</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D057134" MajorTopicYN="N">Antibodies, Neutralizing</DescriptorName><QualifierName UI="Q000097" MajorTopicYN="Y">blood</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D000914" MajorTopicYN="N">Antibodies, Viral</DescriptorName><QualifierName UI="Q000097" MajorTopicYN="Y">blood</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002020" MajorTopicYN="N">Buffaloes</DescriptorName><QualifierName UI="Q000097" MajorTopicYN="N">blood</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002162" MajorTopicYN="N">Camelus</DescriptorName><QualifierName UI="Q000097" MajorTopicYN="Y">blood</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016022" MajorTopicYN="N">Case-Control Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002417" MajorTopicYN="N">Cattle</DescriptorName><QualifierName UI="Q000097" MajorTopicYN="N">blood</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017934" MajorTopicYN="N">Coronavirus</DescriptorName><QualifierName UI="Q000276" MajorTopicYN="Y">immunology</QualifierName><QualifierName UI="Q000302" MajorTopicYN="N">isolation & purification</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000097" MajorTopicYN="N">blood</QualifierName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004534" MajorTopicYN="N">Egypt</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D015995" MajorTopicYN="N">Prevalence</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012141" MajorTopicYN="N">Respiratory Tract Infections</DescriptorName><QualifierName UI="Q000097" MajorTopicYN="N">blood</QualifierName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016036" MajorTopicYN="N">Seroepidemiologic Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2013</Year><Month>10</Month><Day>2</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2013</Year><Month>10</Month><Day>2</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2013</Year><Month>12</Month><Day>16</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">24079378</ArticleId><ArticleId IdType="doi">10.2807/1560-7917.es2013.18.36.20574</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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