CovidSeniorV1, Main, Exploration, bibRecord, 000393

ORF8 and ORF3b antibodies are accurate serological markers of early and late SARS-CoV-2 infection.

Identifieur interne : 000393 ( Main/Exploration ); précédent : 000392; suivant : 000394

ORF8 and ORF3b antibodies are accurate serological markers of early and late SARS-CoV-2 infection.

Source :

Nature immunology [ 1529-2916 ] ; 2020.

RBID : pubmed:32807944

Descripteurs français

KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Anticorps antiviraux (immunologie), Anticorps antiviraux (sang), Antigènes viraux (immunologie), Betacoronavirus (immunologie), Facteurs temps (MeSH), Femelle (MeSH), Hong Kong (MeSH), Humains (MeSH), Infections à coronavirus (diagnostic), Infections à coronavirus (immunologie), Infections à coronavirus (sang), Infections à coronavirus (virologie), Mâle (MeSH), Pandémies (MeSH), Pneumopathie virale (diagnostic), Pneumopathie virale (immunologie), Pneumopathie virale (sang), Pneumopathie virale (virologie), Protéines virales (immunologie), Sensibilité et spécificité (MeSH), Sujet âgé (MeSH), Techniques de laboratoire clinique (méthodes).
MESH :
- diagnostic : Infections à coronavirus, Pneumopathie virale.
- immunologie : Anticorps antiviraux, Antigènes viraux, Betacoronavirus, Infections à coronavirus, Pneumopathie virale, Protéines virales.
- méthodes : Techniques de laboratoire clinique.
- sang : Anticorps antiviraux, Infections à coronavirus, Pneumopathie virale.
- virologie : Infections à coronavirus, Pneumopathie virale.
- Adulte, Adulte d'âge moyen, Facteurs temps, Femelle, Hong Kong, Humains, Mâle, Pandémies, Sensibilité et spécificité, Sujet âgé.
Wicri :
- geographic : Hong Kong.

English descriptors

KwdEn :
- Adult (MeSH), Aged (MeSH), Antibodies, Viral (blood), Antibodies, Viral (immunology), Antigens, Viral (immunology), Betacoronavirus (immunology), Clinical Laboratory Techniques (methods), Coronavirus Infections (blood), Coronavirus Infections (diagnosis), Coronavirus Infections (immunology), Coronavirus Infections (virology), Female (MeSH), Hong Kong (MeSH), Humans (MeSH), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pneumonia, Viral (blood), Pneumonia, Viral (diagnosis), Pneumonia, Viral (immunology), Pneumonia, Viral (virology), Sensitivity and Specificity (MeSH), Time Factors (MeSH), Viral Proteins (immunology).
MESH :
- chemical , blood : Antibodies, Viral.
- chemical , immunology : Antibodies, Viral, Antigens, Viral, Viral Proteins.
- geographic : Hong Kong.
- blood : Coronavirus Infections, Pneumonia, Viral.
- diagnosis : Coronavirus Infections, Pneumonia, Viral.
- immunology : Betacoronavirus, Coronavirus Infections, Pneumonia, Viral.
- methods : Clinical Laboratory Techniques.
- virology : Coronavirus Infections, Pneumonia, Viral.
- Adult, Aged, Female, Humans, Male, Middle Aged, Pandemics, Sensitivity and Specificity, Time Factors.

Abstract

The SARS-CoV-2 virus emerged in December 2019 and has caused a worldwide pandemic due to the lack of any pre-existing immunity. Accurate serology testing is urgently needed to help diagnose infection, determine past exposure of populations and assess the response to a future vaccine. The landscape of antibody responses to SARS-CoV-2 is unknown. In this study, we utilized the luciferase immunoprecipitation system to assess the antibody responses to 15 different SARS-CoV-2 antigens in patients with COVID-19. We identified new targets of the immune response to SARS-CoV-2 and show that nucleocapsid, open reading frame (ORF)8 and ORF3b elicit the strongest specific antibody responses. ORF8 and ORF3b antibodies, taken together as a cluster of points, identified 96.5% of COVID-19 samples at early and late time points of disease with 99.5% specificity. Our findings could be used to develop second-generation diagnostic tests to improve serological assays for COVID-19 and are important in understanding pathogenicity.

DOI: 10.1038/s41590-020-0773-7
PubMed: 32807944

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Main, to step Corpus: 000603
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Le document en format XML

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<wicri:noRegion>Hong Kong SAR</wicri:noRegion>
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<affiliation wicri:level="1"><nlm:affiliation>Division of Public Health Laboratory Sciences, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Division of Public Health Laboratory Sciences, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR</wicri:regionArea>
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</affiliation>
</author>
<author><name sortKey="Valkenburg, Sophie A" sort="Valkenburg, Sophie A" uniqKey="Valkenburg S" first="Sophie A" last="Valkenburg">Sophie A. Valkenburg</name>
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<country xml:lang="fr">République populaire de Chine</country>
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<series><title level="j">Nature immunology</title>
<idno type="eISSN">1529-2916</idno>
<imprint><date when="2020" type="published">2020</date>
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<term>Aged (MeSH)</term>
<term>Antibodies, Viral (blood)</term>
<term>Antibodies, Viral (immunology)</term>
<term>Antigens, Viral (immunology)</term>
<term>Betacoronavirus (immunology)</term>
<term>Clinical Laboratory Techniques (methods)</term>
<term>Coronavirus Infections (blood)</term>
<term>Coronavirus Infections (diagnosis)</term>
<term>Coronavirus Infections (immunology)</term>
<term>Coronavirus Infections (virology)</term>
<term>Female (MeSH)</term>
<term>Hong Kong (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Pandemics (MeSH)</term>
<term>Pneumonia, Viral (blood)</term>
<term>Pneumonia, Viral (diagnosis)</term>
<term>Pneumonia, Viral (immunology)</term>
<term>Pneumonia, Viral (virology)</term>
<term>Sensitivity and Specificity (MeSH)</term>
<term>Time Factors (MeSH)</term>
<term>Viral Proteins (immunology)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Adulte (MeSH)</term>
<term>Adulte d'âge moyen (MeSH)</term>
<term>Anticorps antiviraux (immunologie)</term>
<term>Anticorps antiviraux (sang)</term>
<term>Antigènes viraux (immunologie)</term>
<term>Betacoronavirus (immunologie)</term>
<term>Facteurs temps (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Hong Kong (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Infections à coronavirus (diagnostic)</term>
<term>Infections à coronavirus (immunologie)</term>
<term>Infections à coronavirus (sang)</term>
<term>Infections à coronavirus (virologie)</term>
<term>Mâle (MeSH)</term>
<term>Pandémies (MeSH)</term>
<term>Pneumopathie virale (diagnostic)</term>
<term>Pneumopathie virale (immunologie)</term>
<term>Pneumopathie virale (sang)</term>
<term>Pneumopathie virale (virologie)</term>
<term>Protéines virales (immunologie)</term>
<term>Sensibilité et spécificité (MeSH)</term>
<term>Sujet âgé (MeSH)</term>
<term>Techniques de laboratoire clinique (méthodes)</term>
</keywords>
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</keywords>
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<term>Antigens, Viral</term>
<term>Viral Proteins</term>
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</keywords>
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<term>Pneumonia, Viral</term>
</keywords>
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<term>Pneumonia, Viral</term>
</keywords>
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<term>Pneumopathie virale</term>
</keywords>
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<term>Antigènes viraux</term>
<term>Betacoronavirus</term>
<term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
<term>Protéines virales</term>
</keywords>
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<term>Coronavirus Infections</term>
<term>Pneumonia, Viral</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Clinical Laboratory Techniques</term>
</keywords>
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</keywords>
<keywords scheme="MESH" qualifier="sang" xml:lang="fr"><term>Anticorps antiviraux</term>
<term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
<keywords scheme="MESH" qualifier="virologie" xml:lang="fr"><term>Infections à coronavirus</term>
<term>Pneumopathie virale</term>
</keywords>
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<term>Adulte d'âge moyen</term>
<term>Facteurs temps</term>
<term>Femelle</term>
<term>Hong Kong</term>
<term>Humains</term>
<term>Mâle</term>
<term>Pandémies</term>
<term>Sensibilité et spécificité</term>
<term>Sujet âgé</term>
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<front><div type="abstract" xml:lang="en">The SARS-CoV-2 virus emerged in December 2019 and has caused a worldwide pandemic due to the lack of any pre-existing immunity. Accurate serology testing is urgently needed to help diagnose infection, determine past exposure of populations and assess the response to a future vaccine. The landscape of antibody responses to SARS-CoV-2 is unknown. In this study, we utilized the luciferase immunoprecipitation system to assess the antibody responses to 15 different SARS-CoV-2 antigens in patients with COVID-19. We identified new targets of the immune response to SARS-CoV-2 and show that nucleocapsid, open reading frame (ORF)8 and ORF3b elicit the strongest specific antibody responses. ORF8 and ORF3b antibodies, taken together as a cluster of points, identified 96.5% of COVID-19 samples at early and late time points of disease with 99.5% specificity. Our findings could be used to develop second-generation diagnostic tests to improve serological assays for COVID-19 and are important in understanding pathogenicity.</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32807944</PMID>
<DateCompleted><Year>2020</Year>
<Month>09</Month>
<Day>28</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>09</Month>
<Day>28</Day>
</DateRevised>
<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1529-2916</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>21</Volume>
<Issue>10</Issue>
<PubDate><Year>2020</Year>
<Month>10</Month>
</PubDate>
</JournalIssue>
<Title>Nature immunology</Title>
<ISOAbbreviation>Nat Immunol</ISOAbbreviation>
</Journal>
<ArticleTitle>ORF8 and ORF3b antibodies are accurate serological markers of early and late SARS-CoV-2 infection.</ArticleTitle>
<Pagination><MedlinePgn>1293-1301</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1038/s41590-020-0773-7</ELocationID>
<Abstract><AbstractText>The SARS-CoV-2 virus emerged in December 2019 and has caused a worldwide pandemic due to the lack of any pre-existing immunity. Accurate serology testing is urgently needed to help diagnose infection, determine past exposure of populations and assess the response to a future vaccine. The landscape of antibody responses to SARS-CoV-2 is unknown. In this study, we utilized the luciferase immunoprecipitation system to assess the antibody responses to 15 different SARS-CoV-2 antigens in patients with COVID-19. We identified new targets of the immune response to SARS-CoV-2 and show that nucleocapsid, open reading frame (ORF)8 and ORF3b elicit the strongest specific antibody responses. ORF8 and ORF3b antibodies, taken together as a cluster of points, identified 96.5% of COVID-19 samples at early and late time points of disease with 99.5% specificity. Our findings could be used to develop second-generation diagnostic tests to improve serological assays for COVID-19 and are important in understanding pathogenicity.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Hachim</LastName>
<ForeName>Asmaa</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>HKU-Pasteur Research Pole, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Kavian</LastName>
<ForeName>Niloufar</ForeName>
<Initials>N</Initials>
<Identifier Source="ORCID">0000-0003-2829-3311</Identifier>
<AffiliationInfo><Affiliation>HKU-Pasteur Research Pole, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China. niloufar@hku.hk.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Faculté de Médecine Université Paris Descartes, Sorbonne Paris Cité, Assistance Publique-Hôpitaux de Paris, Hôpital Universitaire Paris Centre, Centre Hospitalier Universitaire Cochin, Service d'Immunologie Biologique, Paris, France. niloufar@hku.hk.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Institut Cochin, INSERM U1016, Université Paris Descartes, Sorbonne Paris Cité, Paris, France. niloufar@hku.hk.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Cohen</LastName>
<ForeName>Carolyn A</ForeName>
<Initials>CA</Initials>
<AffiliationInfo><Affiliation>HKU-Pasteur Research Pole, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Chin</LastName>
<ForeName>Alex W H</ForeName>
<Initials>AWH</Initials>
<AffiliationInfo><Affiliation>Division of Public Health Laboratory Sciences, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Chu</LastName>
<ForeName>Daniel K W</ForeName>
<Initials>DKW</Initials>
<AffiliationInfo><Affiliation>Division of Public Health Laboratory Sciences, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Mok</LastName>
<ForeName>Chris K P</ForeName>
<Initials>CKP</Initials>
<AffiliationInfo><Affiliation>HKU-Pasteur Research Pole, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Tsang</LastName>
<ForeName>Owen T Y</ForeName>
<Initials>OTY</Initials>
<AffiliationInfo><Affiliation>Infectious Diseases Centre, Princess Margaret Hospital, Hospital Authority of Hong Kong, Hong Kong SAR, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Yeung</LastName>
<ForeName>Yiu Cheong</ForeName>
<Initials>YC</Initials>
<AffiliationInfo><Affiliation>Infectious Diseases Centre, Princess Margaret Hospital, Hospital Authority of Hong Kong, Hong Kong SAR, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Perera</LastName>
<ForeName>Ranawaka A P M</ForeName>
<Initials>RAPM</Initials>
<AffiliationInfo><Affiliation>Division of Public Health Laboratory Sciences, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Poon</LastName>
<ForeName>Leo L M</ForeName>
<Initials>LLM</Initials>
<AffiliationInfo><Affiliation>HKU-Pasteur Research Pole, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Division of Public Health Laboratory Sciences, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Peiris</LastName>
<ForeName>J S Malik</ForeName>
<Initials>JSM</Initials>
<AffiliationInfo><Affiliation>HKU-Pasteur Research Pole, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Division of Public Health Laboratory Sciences, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Valkenburg</LastName>
<ForeName>Sophie A</ForeName>
<Initials>SA</Initials>
<Identifier Source="ORCID">0000-0002-0768-9926</Identifier>
<AffiliationInfo><Affiliation>HKU-Pasteur Research Pole, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China. sophiev@hku.hk.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<GrantList CompleteYN="Y"><Grant><GrantID>COVID190115</GrantID>
<Agency>Food and Health Bureau of the Government of the Hong Kong Special Administrative Region | Health and Medical Research Fund (HMRF)</Agency>
<Country>International</Country>
</Grant>
</GrantList>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
<PublicationType UI="D023361">Validation Study</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2020</Year>
<Month>08</Month>
<Day>17</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>United States</Country>
<MedlineTA>Nat Immunol</MedlineTA>
<NlmUniqueID>100941354</NlmUniqueID>
<ISSNLinking>1529-2908</ISSNLinking>
</MedlineJournalInfo>
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</Chemical>
<Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D000956">Antigens, Viral</NameOfSubstance>
</Chemical>
<Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="C000705574">ORF8 protein, SARS-CoV-2</NameOfSubstance>
</Chemical>
<Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D014764">Viral Proteins</NameOfSubstance>
</Chemical>
</ChemicalList>
<SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName>
<SupplMeshName Type="Protocol" UI="C000657964">COVID-19 diagnostic testing</SupplMeshName>
<SupplMeshName Type="Organism" UI="C000656484">severe acute respiratory syndrome coronavirus 2</SupplMeshName>
</SupplMeshList>
<CitationSubset>IM</CitationSubset>
<CommentsCorrectionsList><CommentsCorrections RefType="ErratumIn"><RefSource>Nat Immunol. 2020 Aug 27;:</RefSource>
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</MeshHeading>
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</MeshHeading>
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<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year>
<Month>04</Month>
<Day>27</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2020</Year>
<Month>07</Month>
<Day>30</Day>
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<affiliations><list><country><li>France</li>
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ORF8 and ORF3b antibodies are accurate serological markers of early and late SARS-CoV-2 infection.

ORF8 and ORF3b antibodies are accurate serological markers of early and late SARS-CoV-2 infection.

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