Lower respiratory tract samples are reliable for severe acute respiratory syndrome coronavirus 2 nucleic acid diagnosis and animal model study

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease 2019 (COVID-19) continue to impact countries worldwide. At present, inadequate diagnosis and unreliable evaluation systems hinder the implementation and development of effective prevention and treatment strategies....

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Veröffentlicht in:Dōngwùxué yánjiū 2021-03, Vol.42 (2), p.161-169
Hauptverfasser: Tian, Ren-Rong, Yang, Cui-Xian, Zhang, Mi, Feng, Xiao-Li, Luo, Rong-Hua, Duan, Zi-Lei, Li, Jian-Jian, Liu, Jia-Fa, Yu, Dan-Dan, Xu, Ling, Zheng, Hong-Yi, Li, Ming-Hua, Fan, Hong-Li, Wang, Jia-Li, Dong, Xing-Qi, Zheng, Yong-Tang
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container_issue 2
container_start_page 161
container_title Dōngwùxué yánjiū
container_volume 42
creator Tian, Ren-Rong
Yang, Cui-Xian
Zhang, Mi
Feng, Xiao-Li
Luo, Rong-Hua
Duan, Zi-Lei
Li, Jian-Jian
Liu, Jia-Fa
Yu, Dan-Dan
Xu, Ling
Zheng, Hong-Yi
Li, Ming-Hua
Fan, Hong-Li
Wang, Jia-Li
Dong, Xing-Qi
Zheng, Yong-Tang
description Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease 2019 (COVID-19) continue to impact countries worldwide. At present, inadequate diagnosis and unreliable evaluation systems hinder the implementation and development of effective prevention and treatment strategies. Here, we conducted a horizontal and longitudinal study comparing the detection rates of SARS-CoV-2 nucleic acid in different types of samples collected from COVID-19 patients and SARS-CoV-2-infected monkeys. We also detected anti-SARS-CoV-2 antibodies in the above clinical and animal model samples to identify a reliable approach for the accurate diagnosis of SARS-CoV-2 infection. Results showed that, regardless of clinical symptoms, the highest detection levels of viral nucleic acid were found in sputum and tracheal brush samples, resulting in a high and stable diagnosis rate. Anti-SARS-CoV-2 immunoglobulin M (IgM) and G (IgG) antibodies were not detected in 6.90% of COVID-19 patients. Furthermore, integration of nucleic acid detection results from the various sample types did not improve the diagnosis rate. Moreover, dynamic changes in SARS-CoV-2 viral load were more obvious in sputum and tracheal brushes than in nasal and throat swabs. Thus, SARS-CoV-2 nucleic acid detection in sputum and tracheal brushes was the least affected by infection route, disease progression, and individual differences. Therefore, SARS-CoV-2 nucleic acid detection using lower respiratory tract samples alone is reliable for COVID-19 diagnosis and study.
doi_str_mv 10.24272/J.ISSN.2095-8137.2020.329
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At present, inadequate diagnosis and unreliable evaluation systems hinder the implementation and development of effective prevention and treatment strategies. Here, we conducted a horizontal and longitudinal study comparing the detection rates of SARS-CoV-2 nucleic acid in different types of samples collected from COVID-19 patients and SARS-CoV-2-infected monkeys. We also detected anti-SARS-CoV-2 antibodies in the above clinical and animal model samples to identify a reliable approach for the accurate diagnosis of SARS-CoV-2 infection. Results showed that, regardless of clinical symptoms, the highest detection levels of viral nucleic acid were found in sputum and tracheal brush samples, resulting in a high and stable diagnosis rate. Anti-SARS-CoV-2 immunoglobulin M (IgM) and G (IgG) antibodies were not detected in 6.90% of COVID-19 patients. Furthermore, integration of nucleic acid detection results from the various sample types did not improve the diagnosis rate. Moreover, dynamic changes in SARS-CoV-2 viral load were more obvious in sputum and tracheal brushes than in nasal and throat swabs. Thus, SARS-CoV-2 nucleic acid detection in sputum and tracheal brushes was the least affected by infection route, disease progression, and individual differences. Therefore, SARS-CoV-2 nucleic acid detection using lower respiratory tract samples alone is reliable for COVID-19 diagnosis and study.</description><identifier>ISSN: 2095-8137</identifier><identifier>ISSN: 0254-5853</identifier><identifier>DOI: 10.24272/J.ISSN.2095-8137.2020.329</identifier><identifier>PMID: 33554485</identifier><language>eng</language><publisher>BEIJING: Kunming Institute of Zoology, Chinese Academy of Sciences</publisher><subject>Acids ; Animal model ; Animal models ; Animals ; Antibodies ; Antibodies, Viral ; Brushes ; Coronaviruses ; COVID-19 ; COVID-19 - diagnosis ; COVID-19 Testing - veterinary ; COVID-19 vaccines ; Detection ; Diagnosis ; Disease Models, Animal ; Disease prevention ; Disease transmission ; Feces ; Haplorhini ; Humans ; Immunoglobulin G ; Immunoglobulin M ; Immunoglobulins ; Infections ; Infectious diseases ; Laboratories ; Life Sciences &amp; Biomedicine ; Load distribution ; Longitudinal Studies ; Nucleic acids ; Patients ; Pharynx - virology ; Predictive Value of Tests ; Reference materials ; Respiratory diseases ; Respiratory tract ; SARS-CoV-2 ; SARS-CoV-2 - genetics ; SARS-CoV-2 - immunology ; Science &amp; Technology ; Severe acute respiratory syndrome ; Severe acute respiratory syndrome coronavirus 2 ; Signs and symptoms ; Specimen Handling ; Sputum ; Sputum - virology ; Symptoms ; System effectiveness ; Systems analysis ; Viral diseases ; Zoology</subject><ispartof>Dōngwùxué yánjiū, 2021-03, Vol.42 (2), p.161-169</ispartof><rights>Copyright 2021 - Editorial Office of Zoological Research, Kunming Institute of Zoology, Chinese Academy of Sciences</rights><rights>Copyright Kunming Institute of Zoology, The Chinese Academy of Sciences Mar 2021</rights><rights>Editorial Office of Zoological Research, Kunming Institute of Zoology, Chinese Academy of Sciences 2021 Editorial Office of Zoological Research, Kunming Institute of Zoology, Chinese Academy of Sciences</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>6</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000630398800005</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-b493t-42e65b40f92b11ee92867e2112f6fcc8e7fa694fb9320b6086ccbaad6b123dab3</citedby><cites>FETCH-LOGICAL-b493t-42e65b40f92b11ee92867e2112f6fcc8e7fa694fb9320b6086ccbaad6b123dab3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,886,27929,27930,39263</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33554485$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tian, Ren-Rong</creatorcontrib><creatorcontrib>Yang, Cui-Xian</creatorcontrib><creatorcontrib>Zhang, Mi</creatorcontrib><creatorcontrib>Feng, Xiao-Li</creatorcontrib><creatorcontrib>Luo, Rong-Hua</creatorcontrib><creatorcontrib>Duan, Zi-Lei</creatorcontrib><creatorcontrib>Li, Jian-Jian</creatorcontrib><creatorcontrib>Liu, Jia-Fa</creatorcontrib><creatorcontrib>Yu, Dan-Dan</creatorcontrib><creatorcontrib>Xu, Ling</creatorcontrib><creatorcontrib>Zheng, Hong-Yi</creatorcontrib><creatorcontrib>Li, Ming-Hua</creatorcontrib><creatorcontrib>Fan, Hong-Li</creatorcontrib><creatorcontrib>Wang, Jia-Li</creatorcontrib><creatorcontrib>Dong, Xing-Qi</creatorcontrib><creatorcontrib>Zheng, Yong-Tang</creatorcontrib><creatorcontrib>云南省传染病医院,云南 昆明 650301,中国</creatorcontrib><creatorcontrib>中国科学院昆明动物研究所中国科学院生物安全大科学中心,云南 昆明 650223,中国</creatorcontrib><creatorcontrib>Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China</creatorcontrib><creatorcontrib>中国科学院昆明动物研究所中国科学院动物模型与人类疾病机理重点实验室,中国科学院昆明动物研究所-香港中文大学生物资源与疾病分子机理联合实验室,云南 昆明 650223,中国</creatorcontrib><creatorcontrib>Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China</creatorcontrib><creatorcontrib>Yunnan Infectious Diseases Hospital, Kunming, Yunnan 650301, China</creatorcontrib><title>Lower respiratory tract samples are reliable for severe acute respiratory syndrome coronavirus 2 nucleic acid diagnosis and animal model study</title><title>Dōngwùxué yánjiū</title><addtitle>ZOOL RES</addtitle><addtitle>Zool Res</addtitle><description>Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease 2019 (COVID-19) continue to impact countries worldwide. At present, inadequate diagnosis and unreliable evaluation systems hinder the implementation and development of effective prevention and treatment strategies. Here, we conducted a horizontal and longitudinal study comparing the detection rates of SARS-CoV-2 nucleic acid in different types of samples collected from COVID-19 patients and SARS-CoV-2-infected monkeys. We also detected anti-SARS-CoV-2 antibodies in the above clinical and animal model samples to identify a reliable approach for the accurate diagnosis of SARS-CoV-2 infection. Results showed that, regardless of clinical symptoms, the highest detection levels of viral nucleic acid were found in sputum and tracheal brush samples, resulting in a high and stable diagnosis rate. Anti-SARS-CoV-2 immunoglobulin M (IgM) and G (IgG) antibodies were not detected in 6.90% of COVID-19 patients. Furthermore, integration of nucleic acid detection results from the various sample types did not improve the diagnosis rate. Moreover, dynamic changes in SARS-CoV-2 viral load were more obvious in sputum and tracheal brushes than in nasal and throat swabs. Thus, SARS-CoV-2 nucleic acid detection in sputum and tracheal brushes was the least affected by infection route, disease progression, and individual differences. Therefore, SARS-CoV-2 nucleic acid detection using lower respiratory tract samples alone is reliable for COVID-19 diagnosis and study.</description><subject>Acids</subject><subject>Animal model</subject><subject>Animal models</subject><subject>Animals</subject><subject>Antibodies</subject><subject>Antibodies, Viral</subject><subject>Brushes</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - diagnosis</subject><subject>COVID-19 Testing - veterinary</subject><subject>COVID-19 vaccines</subject><subject>Detection</subject><subject>Diagnosis</subject><subject>Disease Models, Animal</subject><subject>Disease prevention</subject><subject>Disease transmission</subject><subject>Feces</subject><subject>Haplorhini</subject><subject>Humans</subject><subject>Immunoglobulin G</subject><subject>Immunoglobulin M</subject><subject>Immunoglobulins</subject><subject>Infections</subject><subject>Infectious diseases</subject><subject>Laboratories</subject><subject>Life Sciences &amp; Biomedicine</subject><subject>Load distribution</subject><subject>Longitudinal Studies</subject><subject>Nucleic acids</subject><subject>Patients</subject><subject>Pharynx - virology</subject><subject>Predictive Value of Tests</subject><subject>Reference materials</subject><subject>Respiratory diseases</subject><subject>Respiratory tract</subject><subject>SARS-CoV-2</subject><subject>SARS-CoV-2 - genetics</subject><subject>SARS-CoV-2 - immunology</subject><subject>Science &amp; Technology</subject><subject>Severe acute respiratory syndrome</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Signs and symptoms</subject><subject>Specimen Handling</subject><subject>Sputum</subject><subject>Sputum - virology</subject><subject>Symptoms</subject><subject>System effectiveness</subject><subject>Systems analysis</subject><subject>Viral diseases</subject><subject>Zoology</subject><issn>2095-8137</issn><issn>0254-5853</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RBI</sourceid><sourceid>HGBXW</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqNkc1uEzEUhWcBolXpKyALNkgowX8ztlkgoYifoggWhbVle-4UVx472DOpwkPwzDikDZQVki1fXX_n6F6dpnlK8JJyKujLj8uLy8tPS4pVu5CEiVpRvGRUPWhOj82T5rwUb3Fba0xJ96g5YaxtOZftafNznW4gowxl47OZUt6hKRs3oWLGTYCCTIb6G7yxAdCQMiqwhdozbp7gnq7sYp_TCMilnKLZ-jwXRFGcXQDvqsD3qPfmKqbiq2_s6_WjCWhMPQRUprnfPW4eDiYUOL99z5qv795-WX1YrD-_v1i9WS8sV2xacApdazkeFLWEACgqOwGUEDp0g3MSxGA6xQerGMW2w7JzzhrTd5ZQ1hvLzprXB9_NbEfoHcS6ddCbXAfKO52M1_d_ov-mr9JWC6VaKtpq8PzWIKfvM5RJj744CMFESHPRlEvBqRRYVvTZP-h1mnOs62nacoFFJ_ieenWgXE6lZBiOwxCsf6etr7UvJep9sHofrN6nrWvaVfzk73WO0rucKyAPwA3YNBTnITo4YhjjjmGmpKwVbld-MpNPcZXmOFXpi_-XVnp5oK1Pwcc_oMve6Lvmj1wPJZgo9gvef9_x</recordid><startdate>20210318</startdate><enddate>20210318</enddate><creator>Tian, Ren-Rong</creator><creator>Yang, Cui-Xian</creator><creator>Zhang, Mi</creator><creator>Feng, Xiao-Li</creator><creator>Luo, Rong-Hua</creator><creator>Duan, Zi-Lei</creator><creator>Li, Jian-Jian</creator><creator>Liu, Jia-Fa</creator><creator>Yu, Dan-Dan</creator><creator>Xu, Ling</creator><creator>Zheng, Hong-Yi</creator><creator>Li, Ming-Hua</creator><creator>Fan, Hong-Li</creator><creator>Wang, Jia-Li</creator><creator>Dong, Xing-Qi</creator><creator>Zheng, Yong-Tang</creator><general>Kunming Institute of Zoology, Chinese Academy of Sciences</general><general>Science Press</general><general>Kunming Institute of Zoology, The Chinese Academy of Sciences</general><scope>RBI</scope><scope>BLEPL</scope><scope>DTL</scope><scope>HGBXW</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BVBZV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H95</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L.G</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20210318</creationdate><title>Lower respiratory tract samples are reliable for severe acute respiratory syndrome coronavirus 2 nucleic acid diagnosis and animal model study</title><author>Tian, Ren-Rong ; Yang, Cui-Xian ; Zhang, Mi ; Feng, Xiao-Li ; Luo, Rong-Hua ; Duan, Zi-Lei ; Li, Jian-Jian ; Liu, Jia-Fa ; Yu, Dan-Dan ; Xu, Ling ; Zheng, Hong-Yi ; Li, Ming-Hua ; Fan, Hong-Li ; Wang, Jia-Li ; Dong, Xing-Qi ; Zheng, Yong-Tang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b493t-42e65b40f92b11ee92867e2112f6fcc8e7fa694fb9320b6086ccbaad6b123dab3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Acids</topic><topic>Animal model</topic><topic>Animal models</topic><topic>Animals</topic><topic>Antibodies</topic><topic>Antibodies, Viral</topic><topic>Brushes</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - diagnosis</topic><topic>COVID-19 Testing - veterinary</topic><topic>COVID-19 vaccines</topic><topic>Detection</topic><topic>Diagnosis</topic><topic>Disease Models, Animal</topic><topic>Disease prevention</topic><topic>Disease transmission</topic><topic>Feces</topic><topic>Haplorhini</topic><topic>Humans</topic><topic>Immunoglobulin G</topic><topic>Immunoglobulin M</topic><topic>Immunoglobulins</topic><topic>Infections</topic><topic>Infectious diseases</topic><topic>Laboratories</topic><topic>Life Sciences &amp; Biomedicine</topic><topic>Load distribution</topic><topic>Longitudinal Studies</topic><topic>Nucleic acids</topic><topic>Patients</topic><topic>Pharynx - virology</topic><topic>Predictive Value of Tests</topic><topic>Reference materials</topic><topic>Respiratory diseases</topic><topic>Respiratory tract</topic><topic>SARS-CoV-2</topic><topic>SARS-CoV-2 - genetics</topic><topic>SARS-CoV-2 - immunology</topic><topic>Science &amp; Technology</topic><topic>Severe acute respiratory syndrome</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Signs and symptoms</topic><topic>Specimen Handling</topic><topic>Sputum</topic><topic>Sputum - virology</topic><topic>Symptoms</topic><topic>System effectiveness</topic><topic>Systems analysis</topic><topic>Viral diseases</topic><topic>Zoology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Tian, Ren-Rong</creatorcontrib><creatorcontrib>Yang, Cui-Xian</creatorcontrib><creatorcontrib>Zhang, Mi</creatorcontrib><creatorcontrib>Feng, Xiao-Li</creatorcontrib><creatorcontrib>Luo, Rong-Hua</creatorcontrib><creatorcontrib>Duan, Zi-Lei</creatorcontrib><creatorcontrib>Li, Jian-Jian</creatorcontrib><creatorcontrib>Liu, Jia-Fa</creatorcontrib><creatorcontrib>Yu, Dan-Dan</creatorcontrib><creatorcontrib>Xu, Ling</creatorcontrib><creatorcontrib>Zheng, Hong-Yi</creatorcontrib><creatorcontrib>Li, Ming-Hua</creatorcontrib><creatorcontrib>Fan, Hong-Li</creatorcontrib><creatorcontrib>Wang, Jia-Li</creatorcontrib><creatorcontrib>Dong, Xing-Qi</creatorcontrib><creatorcontrib>Zheng, Yong-Tang</creatorcontrib><creatorcontrib>云南省传染病医院,云南 昆明 650301,中国</creatorcontrib><creatorcontrib>中国科学院昆明动物研究所中国科学院生物安全大科学中心,云南 昆明 650223,中国</creatorcontrib><creatorcontrib>Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China</creatorcontrib><creatorcontrib>中国科学院昆明动物研究所中国科学院动物模型与人类疾病机理重点实验室,中国科学院昆明动物研究所-香港中文大学生物资源与疾病分子机理联合实验室,云南 昆明 650223,中国</creatorcontrib><creatorcontrib>Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China</creatorcontrib><creatorcontrib>Yunnan Infectious Diseases Hospital, Kunming, Yunnan 650301, China</creatorcontrib><collection>Bioline International</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 2021</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; 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Fisheries Abstracts (ASFA) 1: Biological Sciences &amp; Living Resources</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Dōngwùxué yánjiū</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tian, Ren-Rong</au><au>Yang, Cui-Xian</au><au>Zhang, Mi</au><au>Feng, Xiao-Li</au><au>Luo, Rong-Hua</au><au>Duan, Zi-Lei</au><au>Li, Jian-Jian</au><au>Liu, Jia-Fa</au><au>Yu, Dan-Dan</au><au>Xu, Ling</au><au>Zheng, Hong-Yi</au><au>Li, Ming-Hua</au><au>Fan, Hong-Li</au><au>Wang, Jia-Li</au><au>Dong, Xing-Qi</au><au>Zheng, Yong-Tang</au><aucorp>云南省传染病医院,云南 昆明 650301,中国</aucorp><aucorp>中国科学院昆明动物研究所中国科学院生物安全大科学中心,云南 昆明 650223,中国</aucorp><aucorp>Key Laboratory of Animal Models and Human Disease Mechanisms of the Chinese Academy of Sciences, KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China</aucorp><aucorp>中国科学院昆明动物研究所中国科学院动物模型与人类疾病机理重点实验室,中国科学院昆明动物研究所-香港中文大学生物资源与疾病分子机理联合实验室,云南 昆明 650223,中国</aucorp><aucorp>Center for Biosafety Mega-Science, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, Yunnan 650223, China</aucorp><aucorp>Yunnan Infectious Diseases Hospital, Kunming, Yunnan 650301, China</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Lower respiratory tract samples are reliable for severe acute respiratory syndrome coronavirus 2 nucleic acid diagnosis and animal model study</atitle><jtitle>Dōngwùxué yánjiū</jtitle><stitle>ZOOL RES</stitle><addtitle>Zool Res</addtitle><date>2021-03-18</date><risdate>2021</risdate><volume>42</volume><issue>2</issue><spage>161</spage><epage>169</epage><pages>161-169</pages><issn>2095-8137</issn><issn>0254-5853</issn><abstract>Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease 2019 (COVID-19) continue to impact countries worldwide. At present, inadequate diagnosis and unreliable evaluation systems hinder the implementation and development of effective prevention and treatment strategies. Here, we conducted a horizontal and longitudinal study comparing the detection rates of SARS-CoV-2 nucleic acid in different types of samples collected from COVID-19 patients and SARS-CoV-2-infected monkeys. We also detected anti-SARS-CoV-2 antibodies in the above clinical and animal model samples to identify a reliable approach for the accurate diagnosis of SARS-CoV-2 infection. Results showed that, regardless of clinical symptoms, the highest detection levels of viral nucleic acid were found in sputum and tracheal brush samples, resulting in a high and stable diagnosis rate. Anti-SARS-CoV-2 immunoglobulin M (IgM) and G (IgG) antibodies were not detected in 6.90% of COVID-19 patients. Furthermore, integration of nucleic acid detection results from the various sample types did not improve the diagnosis rate. Moreover, dynamic changes in SARS-CoV-2 viral load were more obvious in sputum and tracheal brushes than in nasal and throat swabs. Thus, SARS-CoV-2 nucleic acid detection in sputum and tracheal brushes was the least affected by infection route, disease progression, and individual differences. Therefore, SARS-CoV-2 nucleic acid detection using lower respiratory tract samples alone is reliable for COVID-19 diagnosis and study.</abstract><cop>BEIJING</cop><pub>Kunming Institute of Zoology, Chinese Academy of Sciences</pub><pmid>33554485</pmid><doi>10.24272/J.ISSN.2095-8137.2020.329</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record>
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identifier ISSN: 2095-8137
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issn 2095-8137
0254-5853
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source MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Bioline International; Web of Science - Science Citation Index Expanded - 2021<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" />; PubMed Central
subjects Acids
Animal model
Animal models
Animals
Antibodies
Antibodies, Viral
Brushes
Coronaviruses
COVID-19
COVID-19 - diagnosis
COVID-19 Testing - veterinary
COVID-19 vaccines
Detection
Diagnosis
Disease Models, Animal
Disease prevention
Disease transmission
Feces
Haplorhini
Humans
Immunoglobulin G
Immunoglobulin M
Immunoglobulins
Infections
Infectious diseases
Laboratories
Life Sciences & Biomedicine
Load distribution
Longitudinal Studies
Nucleic acids
Patients
Pharynx - virology
Predictive Value of Tests
Reference materials
Respiratory diseases
Respiratory tract
SARS-CoV-2
SARS-CoV-2 - genetics
SARS-CoV-2 - immunology
Science & Technology
Severe acute respiratory syndrome
Severe acute respiratory syndrome coronavirus 2
Signs and symptoms
Specimen Handling
Sputum
Sputum - virology
Symptoms
System effectiveness
Systems analysis
Viral diseases
Zoology
title Lower respiratory tract samples are reliable for severe acute respiratory syndrome coronavirus 2 nucleic acid diagnosis and animal model study
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