CovidSeniorV1, Main, Exploration, bibRecord, 000640

Dynamic changes of throat swabs RNA and serum antibodies for SARS-CoV-2 and their diagnostic performances in patients with COVID-19.

Identifieur interne : 000640 ( Main/Exploration ); précédent : 000639; suivant : 000641

Dynamic changes of throat swabs RNA and serum antibodies for SARS-CoV-2 and their diagnostic performances in patients with COVID-19.

Source :

Emerging microbes & infections [ 2222-1751 ] ; 2020.

RBID : pubmed:32787527

Descripteurs français

KwdFr :
- ARN viral (génétique), ARN viral (isolement et purification), Adulte d'âge moyen (MeSH), Anticorps antiviraux (sang), Betacoronavirus (génétique), Betacoronavirus (immunologie), Femelle (MeSH), Humains (MeSH), Immunoglobuline G (sang), Immunoglobuline M (sang), Infections à coronavirus (diagnostic), Mâle (MeSH), Pandémies (MeSH), Pharynx (virologie), Pneumopathie virale (diagnostic), RT-PCR (MeSH), Sensibilité et spécificité (MeSH), Sujet âgé (MeSH), Séroconversion (MeSH), Techniques de laboratoire clinique (méthodes), Études rétrospectives (MeSH).
MESH :
- diagnostic : Infections à coronavirus, Pneumopathie virale.
- génétique : ARN viral, Betacoronavirus.
- immunologie : Betacoronavirus.
- isolement et purification : ARN viral.
- méthodes : Techniques de laboratoire clinique.
- sang : Anticorps antiviraux, Immunoglobuline G, Immunoglobuline M.
- virologie : Pharynx.
- Adulte d'âge moyen, Femelle, Humains, Mâle, Pandémies, RT-PCR, Sensibilité et spécificité, Sujet âgé, Séroconversion, Études rétrospectives.

English descriptors

KwdEn :
- Aged (MeSH), Antibodies, Viral (blood), Betacoronavirus (genetics), Betacoronavirus (immunology), Clinical Laboratory Techniques (methods), Coronavirus Infections (diagnosis), Female (MeSH), Humans (MeSH), Immunoglobulin G (blood), Immunoglobulin M (blood), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Pharynx (virology), Pneumonia, Viral (diagnosis), RNA, Viral (genetics), RNA, Viral (isolation & purification), Retrospective Studies (MeSH), Reverse Transcriptase Polymerase Chain Reaction (MeSH), Sensitivity and Specificity (MeSH), Seroconversion (MeSH).
MESH :
- chemical , blood : Antibodies, Viral, Immunoglobulin G, Immunoglobulin M.
- diagnosis : Coronavirus Infections, Pneumonia, Viral.
- genetics : Betacoronavirus, RNA, Viral.
- immunology : Betacoronavirus.
- chemical , isolation & purification : RNA, Viral.
- methods : Clinical Laboratory Techniques.
- virology : Pharynx.
- Aged, Female, Humans, Male, Middle Aged, Pandemics, Retrospective Studies, Reverse Transcriptase Polymerase Chain Reaction, Sensitivity and Specificity, Seroconversion.

Abstract

Dynamic changes of RNA and antibodies in SARS-CoV-2 infected patients remain largely unknown, and influence factors for antibody production have not been fully clarified. In this study, consecutive throat swabs specimens (n = 1875) from 187 patients were collected to analyse the dynamic changes of RNA. Moreover, 162 serial serum samples from 31 patients were tested for seroconversion of IgM and IgG. Meanwhile, IgM and IgG were also detected in 409 COVID-19 patients and 389 controls. Additionally, the logistic regression analysis was executed to identify the possible influence factors for antibody production. The median positive conversion time for RNA was day 7 (IQR, 3-11), and the positive rate was highest in day 1-5 (74.59 %) and then gradually decreased. The median time of seroconversion for IgM and IgG were both day 12 (IQR, 10-15). The sensitivity and specificity for IgM (or IgG) was 87.04% and 96.92%, respectively. Multivariate logistic regression indicated that reduced lymphocytes and short positive conversion time for SARS-CoV-2 RNA were independent factors for negative results of IgM and IgG. In conclusion, RNA and antibodies should be combined for COVID-19 diagnosis, and delayed seroconversion was influenced by the decreased lymphocytes and short positive conversion time for RNA.

DOI: 10.1080/22221751.2020.1810133
PubMed: 32787527

Affiliations:

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

to stream Main, to step Corpus: 000697
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Le document en format XML

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<author><name sortKey="Li, Yirong" sort="Li, Yirong" uniqKey="Li Y" first="Yirong" last="Li">Yirong Li</name>
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<author><name sortKey="Zheng, Fang" sort="Zheng, Fang" uniqKey="Zheng F" first="Fang" last="Zheng">Fang Zheng</name>
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<author><name sortKey="Xiang, Yang" sort="Xiang, Yang" uniqKey="Xiang Y" first="Yang" last="Xiang">Yang Xiang</name>
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<country xml:lang="fr">République populaire de Chine</country>
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<author><name sortKey="Wang, Xinrui" sort="Wang, Xinrui" uniqKey="Wang X" first="Xinrui" last="Wang">Xinrui Wang</name>
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<author><name sortKey="Xu, Xianqun" sort="Xu, Xianqun" uniqKey="Xu X" first="Xianqun" last="Xu">Xianqun Xu</name>
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<author><name sortKey="Liao, Shengjun" sort="Liao, Shengjun" uniqKey="Liao S" first="Shengjun" last="Liao">Shengjun Liao</name>
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<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Center for Gene Diagnosis & Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan</wicri:regionArea>
<placeName><settlement type="city">Wuhan</settlement>
<region type="région">Hubei</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Yang, Na" sort="Yang, Na" uniqKey="Yang N" first="Na" last="Yang">Na Yang</name>
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<country xml:lang="fr">République populaire de Chine</country>
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</placeName>
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</placeName>
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<author><name sortKey="Yang, Gang" sort="Yang, Gang" uniqKey="Yang G" first="Gang" last="Yang">Gang Yang</name>
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<placeName><settlement type="city">Wuhan</settlement>
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</placeName>
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<author><name sortKey="Tang, Yueting" sort="Tang, Yueting" uniqKey="Tang Y" first="Yueting" last="Tang">Yueting Tang</name>
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<country xml:lang="fr">République populaire de Chine</country>
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<placeName><settlement type="city">Wuhan</settlement>
<region type="région">Hubei</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Fan, Junli" sort="Fan, Junli" uniqKey="Fan J" first="Junli" last="Fan">Junli Fan</name>
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<country xml:lang="fr">République populaire de Chine</country>
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</placeName>
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</author>
<author><name sortKey="Xie, Wen" sort="Xie, Wen" uniqKey="Xie W" first="Wen" last="Xie">Wen Xie</name>
<affiliation wicri:level="3"><nlm:affiliation>Center for Gene Diagnosis & Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Center for Gene Diagnosis & Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan</wicri:regionArea>
<placeName><settlement type="city">Wuhan</settlement>
<region type="région">Hubei</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Hu, Hanning" sort="Hu, Hanning" uniqKey="Hu H" first="Hanning" last="Hu">Hanning Hu</name>
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<country xml:lang="fr">République populaire de Chine</country>
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<placeName><settlement type="city">Wuhan</settlement>
<region type="région">Hubei</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Li, Yirong" sort="Li, Yirong" uniqKey="Li Y" first="Yirong" last="Li">Yirong Li</name>
<affiliation wicri:level="3"><nlm:affiliation>Center for Gene Diagnosis & Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Center for Gene Diagnosis & Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan</wicri:regionArea>
<placeName><settlement type="city">Wuhan</settlement>
<region type="région">Hubei</region>
</placeName>
</affiliation>
</author>
<author><name sortKey="Zheng, Fang" sort="Zheng, Fang" uniqKey="Zheng F" first="Fang" last="Zheng">Fang Zheng</name>
<affiliation wicri:level="3"><nlm:affiliation>Center for Gene Diagnosis & Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Center for Gene Diagnosis & Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan</wicri:regionArea>
<placeName><settlement type="city">Wuhan</settlement>
<region type="région">Hubei</region>
</placeName>
</affiliation>
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<series><title level="j">Emerging microbes & infections</title>
<idno type="eISSN">2222-1751</idno>
<imprint><date when="2020" type="published">2020</date>
</imprint>
</series>
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</sourceDesc>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aged (MeSH)</term>
<term>Antibodies, Viral (blood)</term>
<term>Betacoronavirus (genetics)</term>
<term>Betacoronavirus (immunology)</term>
<term>Clinical Laboratory Techniques (methods)</term>
<term>Coronavirus Infections (diagnosis)</term>
<term>Female (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Immunoglobulin G (blood)</term>
<term>Immunoglobulin M (blood)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Pandemics (MeSH)</term>
<term>Pharynx (virology)</term>
<term>Pneumonia, Viral (diagnosis)</term>
<term>RNA, Viral (genetics)</term>
<term>RNA, Viral (isolation & purification)</term>
<term>Retrospective Studies (MeSH)</term>
<term>Reverse Transcriptase Polymerase Chain Reaction (MeSH)</term>
<term>Sensitivity and Specificity (MeSH)</term>
<term>Seroconversion (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>ARN viral (génétique)</term>
<term>ARN viral (isolement et purification)</term>
<term>Adulte d'âge moyen (MeSH)</term>
<term>Anticorps antiviraux (sang)</term>
<term>Betacoronavirus (génétique)</term>
<term>Betacoronavirus (immunologie)</term>
<term>Femelle (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Immunoglobuline G (sang)</term>
<term>Immunoglobuline M (sang)</term>
<term>Infections à coronavirus (diagnostic)</term>
<term>Mâle (MeSH)</term>
<term>Pandémies (MeSH)</term>
<term>Pharynx (virologie)</term>
<term>Pneumopathie virale (diagnostic)</term>
<term>RT-PCR (MeSH)</term>
<term>Sensibilité et spécificité (MeSH)</term>
<term>Sujet âgé (MeSH)</term>
<term>Séroconversion (MeSH)</term>
<term>Techniques de laboratoire clinique (méthodes)</term>
<term>Études rétrospectives (MeSH)</term>
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<term>Pneumopathie virale</term>
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<term>Betacoronavirus</term>
</keywords>
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</keywords>
<keywords scheme="MESH" qualifier="immunology" xml:lang="en"><term>Betacoronavirus</term>
</keywords>
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</keywords>
<keywords scheme="MESH" qualifier="isolement et purification" xml:lang="fr"><term>ARN viral</term>
</keywords>
<keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Clinical Laboratory Techniques</term>
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</keywords>
<keywords scheme="MESH" qualifier="sang" xml:lang="fr"><term>Anticorps antiviraux</term>
<term>Immunoglobuline G</term>
<term>Immunoglobuline M</term>
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<term>Middle Aged</term>
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<term>Reverse Transcriptase Polymerase Chain Reaction</term>
<term>Sensitivity and Specificity</term>
<term>Seroconversion</term>
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<term>Femelle</term>
<term>Humains</term>
<term>Mâle</term>
<term>Pandémies</term>
<term>RT-PCR</term>
<term>Sensibilité et spécificité</term>
<term>Sujet âgé</term>
<term>Séroconversion</term>
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<front><div type="abstract" xml:lang="en">Dynamic changes of RNA and antibodies in SARS-CoV-2 infected patients remain largely unknown, and influence factors for antibody production have not been fully clarified. In this study, consecutive throat swabs specimens (<i>n</i>
 = 1875) from 187 patients were collected to analyse the dynamic changes of RNA. Moreover, 162 serial serum samples from 31 patients were tested for seroconversion of IgM and IgG. Meanwhile, IgM and IgG were also detected in 409 COVID-19 patients and 389 controls. Additionally, the logistic regression analysis was executed to identify the possible influence factors for antibody production. The median positive conversion time for RNA was day 7 (IQR, 3-11), and the positive rate was highest in day 1-5 (74.59 %) and then gradually decreased. The median time of seroconversion for IgM and IgG were both day 12 (IQR, 10-15). The sensitivity and specificity for IgM (or IgG) was 87.04% and 96.92%, respectively. Multivariate logistic regression indicated that reduced lymphocytes and short positive conversion time for SARS-CoV-2 RNA were independent factors for negative results of IgM and IgG. In conclusion, RNA and antibodies should be combined for COVID-19 diagnosis, and delayed seroconversion was influenced by the decreased lymphocytes and short positive conversion time for RNA.</div>
</front>
</TEI>
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<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"><Journal><ISSN IssnType="Electronic">2222-1751</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>9</Volume>
<Issue>1</Issue>
<PubDate><Year>2020</Year>
<Month>Dec</Month>
</PubDate>
</JournalIssue>
<Title>Emerging microbes & infections</Title>
<ISOAbbreviation>Emerg Microbes Infect</ISOAbbreviation>
</Journal>
<ArticleTitle>Dynamic changes of throat swabs RNA and serum antibodies for SARS-CoV-2 and their diagnostic performances in patients with COVID-19.</ArticleTitle>
<Pagination><MedlinePgn>1974-1983</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1080/22221751.2020.1810133</ELocationID>
<Abstract><AbstractText>Dynamic changes of RNA and antibodies in SARS-CoV-2 infected patients remain largely unknown, and influence factors for antibody production have not been fully clarified. In this study, consecutive throat swabs specimens (<i>n</i>
 = 1875) from 187 patients were collected to analyse the dynamic changes of RNA. Moreover, 162 serial serum samples from 31 patients were tested for seroconversion of IgM and IgG. Meanwhile, IgM and IgG were also detected in 409 COVID-19 patients and 389 controls. Additionally, the logistic regression analysis was executed to identify the possible influence factors for antibody production. The median positive conversion time for RNA was day 7 (IQR, 3-11), and the positive rate was highest in day 1-5 (74.59 %) and then gradually decreased. The median time of seroconversion for IgM and IgG were both day 12 (IQR, 10-15). The sensitivity and specificity for IgM (or IgG) was 87.04% and 96.92%, respectively. Multivariate logistic regression indicated that reduced lymphocytes and short positive conversion time for SARS-CoV-2 RNA were independent factors for negative results of IgM and IgG. In conclusion, RNA and antibodies should be combined for COVID-19 diagnosis, and delayed seroconversion was influenced by the decreased lymphocytes and short positive conversion time for RNA.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Qiu</LastName>
<ForeName>Xueping</ForeName>
<Initials>X</Initials>
<AffiliationInfo><Affiliation>Center for Gene Diagnosis & Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Xiang</LastName>
<ForeName>Yang</ForeName>
<Initials>Y</Initials>
<AffiliationInfo><Affiliation>Center for Gene Diagnosis & Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Sun</LastName>
<ForeName>Jianbin</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Wuhan Third Hospital-Tongren Hospital of Wuhan University, Wuhan, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Wang</LastName>
<ForeName>Xinrui</ForeName>
<Initials>X</Initials>
<AffiliationInfo><Affiliation>Hebi City Center for Disease Control and Prevention, Hebi, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Chen</LastName>
<ForeName>Guoqiang</ForeName>
<Initials>G</Initials>
<AffiliationInfo><Affiliation>Huang Gang Central Hospital, Huang Gang, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Xu</LastName>
<ForeName>Xianqun</ForeName>
<Initials>X</Initials>
<AffiliationInfo><Affiliation>Center for Gene Diagnosis & Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Liao</LastName>
<ForeName>Shengjun</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Center for Gene Diagnosis & Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Yang</LastName>
<ForeName>Na</ForeName>
<Initials>N</Initials>
<AffiliationInfo><Affiliation>Center for Gene Diagnosis & Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Li</LastName>
<ForeName>Siwei</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Center for Gene Diagnosis & Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Yang</LastName>
<ForeName>Gang</ForeName>
<Initials>G</Initials>
<AffiliationInfo><Affiliation>Center for Gene Diagnosis & Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Tang</LastName>
<ForeName>Yueting</ForeName>
<Initials>Y</Initials>
<AffiliationInfo><Affiliation>Center for Gene Diagnosis & Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Fan</LastName>
<ForeName>Junli</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Center for Gene Diagnosis & Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Xie</LastName>
<ForeName>Wen</ForeName>
<Initials>W</Initials>
<AffiliationInfo><Affiliation>Center for Gene Diagnosis & Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Hu</LastName>
<ForeName>Hanning</ForeName>
<Initials>H</Initials>
<AffiliationInfo><Affiliation>Center for Gene Diagnosis & Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Li</LastName>
<ForeName>Yirong</ForeName>
<Initials>Y</Initials>
<AffiliationInfo><Affiliation>Center for Gene Diagnosis & Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Zheng</LastName>
<ForeName>Fang</ForeName>
<Initials>F</Initials>
<AffiliationInfo><Affiliation>Center for Gene Diagnosis & Department of Laboratory Medicine, Zhongnan Hospital of Wuhan University, Wuhan, People's Republic of China.</Affiliation>
</AffiliationInfo>
</Author>
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<Language>eng</Language>
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<MedlineTA>Emerg Microbes Infect</MedlineTA>
<NlmUniqueID>101594885</NlmUniqueID>
<ISSNLinking>2222-1751</ISSNLinking>
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<NameOfSubstance UI="D000914">Antibodies, Viral</NameOfSubstance>
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<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>
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<MeshHeading><DescriptorName UI="D000914" MajorTopicYN="N">Antibodies, Viral</DescriptorName>
<QualifierName UI="Q000097" MajorTopicYN="Y">blood</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName>
<QualifierName UI="Q000235" MajorTopicYN="N">genetics</QualifierName>
<QualifierName UI="Q000276" MajorTopicYN="N">immunology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D019411" MajorTopicYN="N">Clinical Laboratory Techniques</DescriptorName>
<QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName>
<QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
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<QualifierName UI="Q000097" MajorTopicYN="N">blood</QualifierName>
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<MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName>
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<QualifierName UI="Q000302" MajorTopicYN="Y">isolation & purification</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012189" MajorTopicYN="N">Retrospective Studies</DescriptorName>
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<MeshHeading><DescriptorName UI="D020133" MajorTopicYN="N">Reverse Transcriptase Polymerase Chain Reaction</DescriptorName>
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<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Antibody</Keyword>
<Keyword MajorTopicYN="N">COVID-19</Keyword>
<Keyword MajorTopicYN="N">RNA</Keyword>
<Keyword MajorTopicYN="N">SARS-CoV-2</Keyword>
<Keyword MajorTopicYN="N">throat swabs</Keyword>
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<Month>8</Month>
<Day>14</Day>
<Hour>6</Hour>
<Minute>0</Minute>
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<Day>29</Day>
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<affiliations><list><country><li>République populaire de Chine</li>
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<region><li>Hubei</li>
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<settlement><li>Wuhan</li>
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<tree><country name="République populaire de Chine"><region name="Hubei"><name sortKey="Qiu, Xueping" sort="Qiu, Xueping" uniqKey="Qiu X" first="Xueping" last="Qiu">Xueping Qiu</name>
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<name sortKey="Chen, Guoqiang" sort="Chen, Guoqiang" uniqKey="Chen G" first="Guoqiang" last="Chen">Guoqiang Chen</name>
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<name sortKey="Hu, Hanning" sort="Hu, Hanning" uniqKey="Hu H" first="Hanning" last="Hu">Hanning Hu</name>
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<name sortKey="Li, Yirong" sort="Li, Yirong" uniqKey="Li Y" first="Yirong" last="Li">Yirong Li</name>
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<name sortKey="Sun, Jianbin" sort="Sun, Jianbin" uniqKey="Sun J" first="Jianbin" last="Sun">Jianbin Sun</name>
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<name sortKey="Wang, Xinrui" sort="Wang, Xinrui" uniqKey="Wang X" first="Xinrui" last="Wang">Xinrui Wang</name>
<name sortKey="Xiang, Yang" sort="Xiang, Yang" uniqKey="Xiang Y" first="Yang" last="Xiang">Yang Xiang</name>
<name sortKey="Xie, Wen" sort="Xie, Wen" uniqKey="Xie W" first="Wen" last="Xie">Wen Xie</name>
<name sortKey="Xu, Xianqun" sort="Xu, Xianqun" uniqKey="Xu X" first="Xianqun" last="Xu">Xianqun Xu</name>
<name sortKey="Yang, Gang" sort="Yang, Gang" uniqKey="Yang G" first="Gang" last="Yang">Gang Yang</name>
<name sortKey="Yang, Na" sort="Yang, Na" uniqKey="Yang N" first="Na" last="Yang">Na Yang</name>
<name sortKey="Zheng, Fang" sort="Zheng, Fang" uniqKey="Zheng F" first="Fang" last="Zheng">Fang Zheng</name>
</country>
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Dynamic changes of throat swabs RNA and serum antibodies for SARS-CoV-2 and their diagnostic performances in patients with COVID-19.

Dynamic changes of throat swabs RNA and serum antibodies for SARS-CoV-2 and their diagnostic performances in patients with COVID-19.

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