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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">A novel luciferase immunosorbent assay performs better than a commercial enzyme-linked immunosorbent assay to detect MERS-CoV specific IgG in humans and animals</title><author><name sortKey="Wang, Wenling" sort="Wang, Wenling" uniqKey="Wang W" first="Wenling" last="Wang">Wenling Wang</name><affiliation><nlm:aff id="af0005">MHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, China CDC, Beijing 102206, China</nlm:aff></affiliation></author><author><name sortKey="Wang, Tianyu" sort="Wang, Tianyu" uniqKey="Wang T" first="Tianyu" last="Wang">Tianyu Wang</name><affiliation><nlm:aff id="af0005">MHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, China CDC, Beijing 102206, China</nlm:aff></affiliation><affiliation><nlm:aff id="af0010">Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China</nlm:aff></affiliation></author><author><name sortKey="Deng, Yao" sort="Deng, Yao" uniqKey="Deng Y" first="Yao" last="Deng">Yao Deng</name><affiliation><nlm:aff id="af0005">MHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, China CDC, Beijing 102206, China</nlm:aff></affiliation></author><author><name sortKey="Niu, Peihua" sort="Niu, Peihua" uniqKey="Niu P" first="Peihua" last="Niu">Peihua Niu</name><affiliation><nlm:aff id="af0005">MHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, China CDC, Beijing 102206, China</nlm:aff></affiliation></author><author><name sortKey="A, Ruhan" sort="A, Ruhan" uniqKey="A R" first="Ruhan" last="A">Ruhan A</name><affiliation><nlm:aff id="af0005">MHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, China CDC, Beijing 102206, China</nlm:aff></affiliation></author><author><name sortKey="Zhao, Jincun" sort="Zhao, Jincun" uniqKey="Zhao J" first="Jincun" last="Zhao">Jincun Zhao</name><affiliation><nlm:aff id="af0015">State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Disease, The first Affiliated Hospital of Guangzhou Medical University, Guangzhou 510182, China</nlm:aff></affiliation></author><author><name sortKey="Peiris, Malik" sort="Peiris, Malik" uniqKey="Peiris M" first="Malik" last="Peiris">Malik Peiris</name><affiliation><nlm:aff id="af0020">School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region</nlm:aff></affiliation></author><author><name sortKey="Tang, Shixing" sort="Tang, Shixing" uniqKey="Tang S" first="Shixing" last="Tang">Shixing Tang</name><affiliation><nlm:aff id="af0010">Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China</nlm:aff></affiliation></author><author><name sortKey="Tan, Wenjie" sort="Tan, Wenjie" uniqKey="Tan W" first="Wenjie" last="Tan">Wenjie Tan</name><affiliation><nlm:aff id="af0005">MHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, China CDC, Beijing 102206, China</nlm:aff></affiliation><affiliation><nlm:aff id="af0025">Center for Biosafety Mega-science, Chinese Academy of Sciences, Beijing 100101, China</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmc">7148641</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148641</idno><idno type="RBID">PMC:7148641</idno><idno type="doi">10.1016/j.bsheal.2019.12.006</idno><idno type="pmid">NONE</idno><date when="2019">2019</date><idno type="wicri:Area/Pmc/Corpus">001257</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">001257</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">A novel luciferase immunosorbent assay performs better than a commercial enzyme-linked immunosorbent assay to detect MERS-CoV specific IgG in humans and animals</title><author><name sortKey="Wang, Wenling" sort="Wang, Wenling" uniqKey="Wang W" first="Wenling" last="Wang">Wenling Wang</name><affiliation><nlm:aff id="af0005">MHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, China CDC, Beijing 102206, China</nlm:aff></affiliation></author><author><name sortKey="Wang, Tianyu" sort="Wang, Tianyu" uniqKey="Wang T" first="Tianyu" last="Wang">Tianyu Wang</name><affiliation><nlm:aff id="af0005">MHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, China CDC, Beijing 102206, China</nlm:aff></affiliation><affiliation><nlm:aff id="af0010">Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China</nlm:aff></affiliation></author><author><name sortKey="Deng, Yao" sort="Deng, Yao" uniqKey="Deng Y" first="Yao" last="Deng">Yao Deng</name><affiliation><nlm:aff id="af0005">MHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, China CDC, Beijing 102206, China</nlm:aff></affiliation></author><author><name sortKey="Niu, Peihua" sort="Niu, Peihua" uniqKey="Niu P" first="Peihua" last="Niu">Peihua Niu</name><affiliation><nlm:aff id="af0005">MHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, China CDC, Beijing 102206, China</nlm:aff></affiliation></author><author><name sortKey="A, Ruhan" sort="A, Ruhan" uniqKey="A R" first="Ruhan" last="A">Ruhan A</name><affiliation><nlm:aff id="af0005">MHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, China CDC, Beijing 102206, China</nlm:aff></affiliation></author><author><name sortKey="Zhao, Jincun" sort="Zhao, Jincun" uniqKey="Zhao J" first="Jincun" last="Zhao">Jincun Zhao</name><affiliation><nlm:aff id="af0015">State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Disease, The first Affiliated Hospital of Guangzhou Medical University, Guangzhou 510182, China</nlm:aff></affiliation></author><author><name sortKey="Peiris, Malik" sort="Peiris, Malik" uniqKey="Peiris M" first="Malik" last="Peiris">Malik Peiris</name><affiliation><nlm:aff id="af0020">School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region</nlm:aff></affiliation></author><author><name sortKey="Tang, Shixing" sort="Tang, Shixing" uniqKey="Tang S" first="Shixing" last="Tang">Shixing Tang</name><affiliation><nlm:aff id="af0010">Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China</nlm:aff></affiliation></author><author><name sortKey="Tan, Wenjie" sort="Tan, Wenjie" uniqKey="Tan W" first="Wenjie" last="Tan">Wenjie Tan</name><affiliation><nlm:aff id="af0005">MHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, China CDC, Beijing 102206, China</nlm:aff></affiliation><affiliation><nlm:aff id="af0025">Center for Biosafety Mega-science, Chinese Academy of Sciences, Beijing 100101, China</nlm:aff></affiliation></author></analytic><series><title level="j">Biosafety and Health</title><idno type="ISSN">2590-0536</idno><idno type="eISSN">2590-0536</idno><imprint><date when="2019">2019</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>The Middle East respiratory syndrome (MERS) is a lethal zoonosis caused by MERS coronavirus (MERS-CoV) and poses a significant threat to public health worldwide. Therefore, a rapid, sensitive, and specific serologic test for detecting anti-MERS-CoV antibodies in both humans and animals is urgently needed for the successful management of this illness. Here, we evaluated various novel luciferase immunosorbent assays (LISA) based on nucleocapsid protein (NP) as well as fragments derived from spike protein (S) including subunit 1 (S1), N terminal domain (NTD), receptor-binding domain (RBD) and subunit 2 (S2) of S for the detection of MERS-CoV-specific IgG. Fusion proteins, including nanoluciferase (NLuc) and various fragments derived from the NP or S protein of MERS-CoV, were expressed in human embryonic kidney 293 T cells. LISAs that detected anti-MERS-CoV IgG were further developed using cell lysates expressing various fusion proteins. Panels of human or animal samples infected with MERS-CoV were used to analyze the sensitivity and specificity of various LISAs in reference to a MERS-CoV RT-PCR, commercial S1-based ELISA, and pseudovirus particle neutralization test (ppNT). Our results showed that the S1-, RBD-, and NP-LISAs were more sensitive than the NTD- and S2-LISAs for the detection of anti-MERS-CoV IgG. Furthermore, the S1-, RBD-, and NP-LISAs were more sensitive (by at least 16-fold) than the commercially available S1-ELISA. Moreover, the S1-, RBD-, and NP-LISA specifically recognized anti-MERS-CoV IgG and did not cross-react with samples derived from other human CoV (OC43, 229E, HKU1, NL63)-infected patients. More importantly, these LISAs proved their applicability and reliability for detecting anti-MERS-CoV IgG in samples from camels, monkeys, and mice, among which the RBD-LISA exhibited excellent performance. The results of this study suggest that the novel MERS-CoV RBD- and S1- LISAs are highly effective platforms for the rapid and sensitive detection of anti-MERS-CoV IgG in human and animal samples. These assays have the potential to be used as serologic tests for the management and control of MERS-CoV infection.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Al Tayib, O A" uniqKey="Al Tayib O">O.A. Al-Tayib</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Gossner, C" uniqKey="Gossner C">C. Gossner</name></author><author><name sortKey="Danielson, N" uniqKey="Danielson N">N. Danielson</name></author><author><name sortKey="Gervelmeyer, A" uniqKey="Gervelmeyer A">A. Gervelmeyer</name></author><author><name sortKey="Berthe, F" uniqKey="Berthe F">F. Berthe</name></author><author><name sortKey="Faye, B" uniqKey="Faye B">B. Faye</name></author><author><name sortKey="Aaslav, K K" uniqKey="Aaslav K">K.K. 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<front><journal-meta><journal-title-group><journal-title>Biosafety and Health</journal-title></journal-title-group><issn pub-type="ppub">2590-0536</issn><issn pub-type="epub">2590-0536</issn><publisher><publisher-name>Chinese Medical Association Publishing House. Published by Elsevier B.V.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmc">7148641</article-id><article-id pub-id-type="publisher-id">S2590-0536(19)30050-3</article-id><article-id pub-id-type="doi">10.1016/j.bsheal.2019.12.006</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>A novel luciferase immunosorbent assay performs better than a commercial enzyme-linked immunosorbent assay to detect MERS-CoV specific IgG in humans and animals</article-title></title-group><contrib-group><contrib contrib-type="author" id="au0005"><name><surname>Wang</surname><given-names>Wenling</given-names></name><xref rid="af0005" ref-type="aff">a</xref><xref rid="fn0005" ref-type="fn">1</xref></contrib><contrib contrib-type="author" id="au0010"><name><surname>Wang</surname><given-names>Tianyu</given-names></name><xref rid="af0005" ref-type="aff">a</xref><xref rid="af0010" ref-type="aff">b</xref><xref rid="fn0005" ref-type="fn">1</xref></contrib><contrib contrib-type="author" id="au0015"><name><surname>Deng</surname><given-names>Yao</given-names></name><xref rid="af0005" ref-type="aff">a</xref></contrib><contrib contrib-type="author" id="au0020"><name><surname>Niu</surname><given-names>Peihua</given-names></name><xref rid="af0005" ref-type="aff">a</xref></contrib><contrib contrib-type="author" id="au0025"><name><surname>A</surname><given-names>Ruhan</given-names></name><xref rid="af0005" ref-type="aff">a</xref></contrib><contrib contrib-type="author" id="au0030"><name><surname>Zhao</surname><given-names>Jincun</given-names></name><xref rid="af0015" ref-type="aff">c</xref></contrib><contrib contrib-type="author" id="au0035"><name><surname>Peiris</surname><given-names>Malik</given-names></name><xref rid="af0020" ref-type="aff">d</xref></contrib><contrib contrib-type="author" id="au0040"><name><surname>Tang</surname><given-names>Shixing</given-names></name><email>tamgshixing@smu.edu.cn</email><xref rid="af0010" ref-type="aff">b</xref><xref rid="cr0005" ref-type="corresp">⁎</xref></contrib><contrib contrib-type="author" id="au0045"><name><surname>Tan</surname><given-names>Wenjie</given-names></name><email>tanwj@ivdc.chinacdc.cn</email><xref rid="af0005" ref-type="aff">a</xref><xref rid="af0025" ref-type="aff">e</xref><xref rid="cr0010" ref-type="corresp">⁎⁎</xref></contrib></contrib-group><aff id="af0005"><label>a</label>MHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, China CDC, Beijing 102206, China</aff><aff id="af0010"><label>b</label>Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China</aff><aff id="af0015"><label>c</label>State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Disease, The first Affiliated Hospital of Guangzhou Medical University, Guangzhou 510182, China</aff><aff id="af0020"><label>d</label>School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region</aff><aff id="af0025"><label>e</label>Center for Biosafety Mega-science, Chinese Academy of Sciences, Beijing 100101, China</aff><author-notes><corresp id="cr0005"><label>⁎</label>Corresponding author: Guangdong Provincial Key Laboratory of Tropical Disease Research, Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou 510515, China. <email>tamgshixing@smu.edu.cn</email></corresp><corresp id="cr0010"><label>⁎⁎</label>Corresponding author: MHC Key Laboratory of Biosafety, National Institute for Viral Disease Control and Prevention, China CDC, Beijing 102206, China; Center for Biosafety Mega-science, Chinese Academy of Sciences, Beijing 100101, China. <email>tanwj@ivdc.chinacdc.cn</email></corresp><fn id="fn0005"><label>1</label><p id="np0020">Wenling Wang and Tianyu Wang contributed equally to this study.</p></fn></author-notes><pub-date pub-type="pmc-release"><day>20</day><month>12</month><year>2019</year></pub-date><pmc-comment> PMC Release delay is 0 months and 0 days and was based on .</pmc-comment>
<pub-date pub-type="ppub"><month>12</month><year>2019</year></pub-date><pub-date pub-type="epub"><day>20</day><month>12</month><year>2019</year></pub-date><volume>1</volume><issue>3</issue><fpage>134</fpage><lpage>143</lpage><history><date date-type="received"><day>15</day><month>8</month><year>2019</year></date><date date-type="rev-recd"><day>16</day><month>12</month><year>2019</year></date><date date-type="accepted"><day>16</day><month>12</month><year>2019</year></date></history><permissions><copyright-statement>© 2019 Chinese Medical Association Publishing House. Published by Elsevier B.V.</copyright-statement><copyright-year>2019</copyright-year><copyright-holder>Elsevier B.V.</copyright-holder><license><license-p>Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.</license-p></license></permissions><abstract id="ab0005"><p>The Middle East respiratory syndrome (MERS) is a lethal zoonosis caused by MERS coronavirus (MERS-CoV) and poses a significant threat to public health worldwide. Therefore, a rapid, sensitive, and specific serologic test for detecting anti-MERS-CoV antibodies in both humans and animals is urgently needed for the successful management of this illness. Here, we evaluated various novel luciferase immunosorbent assays (LISA) based on nucleocapsid protein (NP) as well as fragments derived from spike protein (S) including subunit 1 (S1), N terminal domain (NTD), receptor-binding domain (RBD) and subunit 2 (S2) of S for the detection of MERS-CoV-specific IgG. Fusion proteins, including nanoluciferase (NLuc) and various fragments derived from the NP or S protein of MERS-CoV, were expressed in human embryonic kidney 293 T cells. LISAs that detected anti-MERS-CoV IgG were further developed using cell lysates expressing various fusion proteins. Panels of human or animal samples infected with MERS-CoV were used to analyze the sensitivity and specificity of various LISAs in reference to a MERS-CoV RT-PCR, commercial S1-based ELISA, and pseudovirus particle neutralization test (ppNT). Our results showed that the S1-, RBD-, and NP-LISAs were more sensitive than the NTD- and S2-LISAs for the detection of anti-MERS-CoV IgG. Furthermore, the S1-, RBD-, and NP-LISAs were more sensitive (by at least 16-fold) than the commercially available S1-ELISA. Moreover, the S1-, RBD-, and NP-LISA specifically recognized anti-MERS-CoV IgG and did not cross-react with samples derived from other human CoV (OC43, 229E, HKU1, NL63)-infected patients. More importantly, these LISAs proved their applicability and reliability for detecting anti-MERS-CoV IgG in samples from camels, monkeys, and mice, among which the RBD-LISA exhibited excellent performance. The results of this study suggest that the novel MERS-CoV RBD- and S1- LISAs are highly effective platforms for the rapid and sensitive detection of anti-MERS-CoV IgG in human and animal samples. These assays have the potential to be used as serologic tests for the management and control of MERS-CoV infection.</p></abstract><abstract abstract-type="author-highlights" id="ab0105"><title>Highlights</title><p><list list-type="simple" id="l0105"><list-item id="li0105"><label>•</label><p id="p1010"><bold>Scientific question</bold></p><p id="p1015">This study evaluated novel luciferase immunosorbent assays (LISAs) based on nucleocapsid protein (NP) as well as fragments derived from spike protein (S) for detection of MERS-CoV-specific IgG in humans and animals.</p></list-item><list-item id="li0110"><label>•</label><p id="p1020"><bold>Evidence before this study</bold></p><p id="p1025">Enzyme-linked immunosorbent assay (ELISA), microneutralization (MN), immunofluorescence assay (IFA), and pseudovirus particle neutralization test (ppNT) have been performed to detect serum antibodies against MERS-CoV. There remains a need to develop novel serological assays independent of protein purification, special secondary antibody, virus cultivation and Biosafety Level 3 (BSL-3) laboratory.</p></list-item><list-item id="li0115"><label>•</label><p id="p1030"><bold>New findings</bold></p><p id="p1035">In this study, novel LISAs based on the MERS-CoV S fragments and NP were developed. Human and animal samples infected with MERS-CoV were measured by the newly developed LISAs as well as reference methods including commercial S1-ELISA and ppNT. The results showed that the S1-, RBD-, and NP-LISAs were able to specifically distinguish MERS-CoV-infected samples from samples infected by other HCoV as consistent as the reference methods. Comparing with the commercially available S1-ELISA, the S1- and RBD-LISAs were 64-folds more sensitive. Moreover, the applicability and reliability of the LISAs were verified by detecting anti-MERS-CoV IgG in samples from camels, monkeys, and mice. The RBD-LISA exhibited superior sensitivity and specificity.</p></list-item><list-item id="li0120"><label>•</label><p id="p1040"><bold>Significance of the study</bold></p><p id="p1045">The novel MERS-CoV RBD- and S1-LISAs were developed independent of protein purification and special secondary antibody, and showed super specificity and efficiency for the detection of anti-MERS-CoV IgG in human and animal samples. These assays are recommended for serological diagnosis of MERS-CoV infection in the investigation of epidemic characteristic, origin tracing and vaccine study of MERS-CoV, they would contribute to the scientific control and prevention of MERS.</p></list-item></list></p></abstract><kwd-group id="ks0005"><title>Keywords</title><kwd>Luciferase immunosorbent assay (LISA)</kwd><kwd>MERS-CoV</kwd><kwd>Serological IgG detection</kwd><kwd>Samples of humans and animals</kwd></kwd-group></article-meta></front><body><sec id="s8005"><title>HIGHLIGHTS</title><p id="p8005"><boxed-text id="b0005"><sec id="s1005"><title>HIGHLIGHTS</title><p id="p0010"><bold>Scientific question</bold></p><p id="p0015">This study evaluated novel luciferase immunosorbent assays (LISAs) based on nucleocapsid protein (NP) as well as fragments derived from spike protein (S) for detection of MERS-CoV-specific IgG in humans and animals.</p><p id="p0020"><bold>Evidence before this study</bold></p><p id="p0025">Enzyme-linked immunosorbent assay (ELISA), microneutralization (MN), immunofluorescence assay (IFA), and pseudovirus particle neutralization test (ppNT) have been performed to detect serum antibodies against MERS-CoV. There remains a need to develop novel serological assays independent of protein purification, special secondary antibody, virus cultivation and Biosafety Level 3 (BSL-3) laboratory.</p><p id="p0030"><bold>New findings</bold></p><p id="p0035">In this study, novel LISAs based on the MERS-CoV S fragments and NP were developed. Human and animal samples infected with MERS-CoV were measured by the newly developed LISAs as well as reference methods including commercial S1-ELISA and ppNT. The results showed that the S1-, RBD-, and NP-LISAs were able to specifically distinguish MERS-CoV-infected samples from samples infected by other HCoV as consistent as the reference methods. Comparing with the commercially available S1-ELISA, the S1- and RBD-LISAs were 64-folds more sensitive. Moreover, the applicability and reliability of the LISAs were verified by detecting anti-MERS-CoV IgG in samples from camels, monkeys, and mice. The RBD-LISA exhibited superior sensitivity and specificity.</p><p id="p0040"><bold>Significance of the study</bold></p><p id="p0045">The novel MERS-CoV RBD- and S1-LISAs were developed independent of protein purification and special secondary antibody, and showed super specificity and efficiency for the detection of anti-MERS-CoV IgG in human and animal samples. These assays are recommended for serological diagnosis of MERS-CoV infection in the investigation of epidemic characteristic, origin tracing and vaccine study of MERS-CoV, they would contribute to the scientific control and prevention of MERS.</p></sec><notes notes-type="alt-text" specific-use="for-accessibility" id="al1005"><p>Alt-text: Unlabelled Box</p></notes></boxed-text></p></sec><sec id="s0005"><label>1</label><title>Introduction</title><p id="p0005">The Middle East respiratory syndrome (MERS) is a lethal zoonosis caused by MERS coronavirus (CoV) [<xref rid="bb0005" ref-type="bibr">1</xref>,<xref rid="bb0010" ref-type="bibr">2</xref>]. MERS-CoV infection in humans causes asymptomatic or mild respiratory illness, severe pneumonia, multi-organ failure, and even death [<xref rid="bb0015" ref-type="bibr">[3]</xref>, <xref rid="bb0020" ref-type="bibr">[4]</xref>, <xref rid="bb0025" ref-type="bibr">[5]</xref>]. According to the World Health Organization (WHO), as of May 9, 2019, there were 2,419 laboratory-confirmed cases of MERS and 836 deaths (35% of case-fatality rate) reported from 27 countries (<ext-link ext-link-type="uri" xlink:href="https://www.who.int/csr/don/09-may-2019-mers-saudi-arabia/en/" id="ir0005">https://www.who.int/csr/don/09-may-2019-mers-saudi-arabia/en/</ext-link>). The majority of MERS cases occurred in the Middle East, especially in Saudi Arabia [<xref rid="bb0005" ref-type="bibr">1</xref>,<xref rid="bb0015" ref-type="bibr">3</xref>,<xref rid="bb0030" ref-type="bibr">[6]</xref>, <xref rid="bb0035" ref-type="bibr">[7]</xref>, <xref rid="bb0040" ref-type="bibr">[8]</xref>, <xref rid="bb0045" ref-type="bibr">[9]</xref>]. The largest epidemic of MERS outside of the Arabian Peninsula occurred in South Korea in May 2015, and the index case was a traveler who visited the Middle East [<xref rid="bb0050" ref-type="bibr">10</xref>,<xref rid="bb0055" ref-type="bibr">11</xref>]. To date, all confirmed MERS cases have been linked to the Middle East. Human-to-human transmission of MERS-CoV has been well documented in family, community, and healthcare settings [<xref rid="bb0025" ref-type="bibr">5</xref>,<xref rid="bb0060" ref-type="bibr">[12]</xref>, <xref rid="bb0065" ref-type="bibr">[13]</xref>, <xref rid="bb0070" ref-type="bibr">[14]</xref>]. MERS-CoV poses a significant threat to public health worldwide because of the high fatality rate of MERS infection and potential outbreaks of MERS-CoV infection in healthcare facilities. Furthermore, there are no specific vaccines or therapeutics for the prevention or treatment of MERS-CoV infection [<xref rid="bb0075" ref-type="bibr">[15]</xref>, <xref rid="bb0080" ref-type="bibr">[16]</xref>, <xref rid="bb0085" ref-type="bibr">[17]</xref>, <xref rid="bb0090" ref-type="bibr">[18]</xref>, <xref rid="bb0095" ref-type="bibr">[19]</xref>, <xref rid="bb0100" ref-type="bibr">[20]</xref>, <xref rid="bb0105" ref-type="bibr">[21]</xref>].</p><p id="p8010">Dromedary camels have been implicated as a zoonotic source of human infections [<xref rid="bb0015" ref-type="bibr">3</xref>,<xref rid="bb0020" ref-type="bibr">4</xref>,<xref rid="bb0080" ref-type="bibr">16</xref>,<xref rid="bb0110" ref-type="bibr">[22]</xref>, <xref rid="bb0115" ref-type="bibr">[23]</xref>, <xref rid="bb0120" ref-type="bibr">[24]</xref>, <xref rid="bb0125" ref-type="bibr">[25]</xref>, <xref rid="bb0130" ref-type="bibr">[26]</xref>, <xref rid="bb0135" ref-type="bibr">[27]</xref>, <xref rid="bb0140" ref-type="bibr">[28]</xref>, <xref rid="bb0145" ref-type="bibr">[29]</xref>, <xref rid="bb0150" ref-type="bibr">[30]</xref>, <xref rid="bb0155" ref-type="bibr">[31]</xref>], and MERS-CoV RNA and viable virus have been isolated from them [<xref rid="bb0035" ref-type="bibr">7</xref>,<xref rid="bb0110" ref-type="bibr">22</xref>,<xref rid="bb0160" ref-type="bibr">32</xref>]. The seroprevalence of MERS-CoV antibodies is very high in dromedary camels within Eastern Africa and the Arabian Peninsula [<xref rid="bb0110" ref-type="bibr">22</xref>,<xref rid="bb0120" ref-type="bibr">24</xref>,<xref rid="bb0125" ref-type="bibr">25</xref>,<xref rid="bb0145" ref-type="bibr">29</xref>,<xref rid="bb0165" ref-type="bibr">[33]</xref>, <xref rid="bb0170" ref-type="bibr">[34]</xref>, <xref rid="bb0175" ref-type="bibr">[35]</xref>, <xref rid="bb0180" ref-type="bibr">[36]</xref>, <xref rid="bb0185" ref-type="bibr">[37]</xref>, <xref rid="bb0190" ref-type="bibr">[38]</xref>, <xref rid="bb0195" ref-type="bibr">[39]</xref>]. The continuing MERS epidemic in the Middle East is believed to be related to the failure to control the zoonotic sources, particularly dromedary camels, resulting in ongoing camel-to-human transmission [<xref rid="bb0010" ref-type="bibr">2</xref>,<xref rid="bb0130" ref-type="bibr">26</xref>,<xref rid="bb0200" ref-type="bibr">[40]</xref>, <xref rid="bb0205" ref-type="bibr">[41]</xref>, <xref rid="bb0210" ref-type="bibr">[42]</xref>]. Moreover, MERS-like CoVs have been detected in bat species globally, and thus, are thought to be the reservoirs of MERS-CoV [<xref rid="bb0035" ref-type="bibr">7</xref>,<xref rid="bb0205" ref-type="bibr">41</xref>,<xref rid="bb0215" ref-type="bibr">43</xref>,<xref rid="bb0220" ref-type="bibr">44</xref>]. However, the exact source of many primary MERS cases remains unknown, and the transmission mechanisms are poorly understood.</p><p id="p8015">The MERS-CoV genome encodes 16 non-structural proteins (nsp1–16) and four structural proteins, including the spike (S), small envelope (E), membrane (M), and nucleocapsid (N) proteins. The viral structural proteins, S and N, have the highest immunogenicity [<xref rid="bb0225" ref-type="bibr">45</xref>]. The S protein undergoes protease cleavage into S1 and S2 subunits. The S1 and S2 subunits mediate coronavirus entry into host cells by binding to the receptor on the host-cell surface via the receptor-binding domain (RBD) of the S1 subunit [<xref rid="bb0160" ref-type="bibr">32</xref>,<xref rid="bb0230" ref-type="bibr">[46]</xref>, <xref rid="bb0235" ref-type="bibr">[47]</xref>, <xref rid="bb0240" ref-type="bibr">[48]</xref>]. Both the S and N proteins are the major immunodominant regions of MERS-CoV, and are often applied as target antigens for detection of a humoral immune response after infection.</p><p id="p8020">Real-time quantitative reverse transcription-polymerase chain reaction (qRT-PCR) is a common method for the diagnosis of MERS-CoV infection [<xref rid="bb0030" ref-type="bibr">6</xref>,<xref rid="bb0245" ref-type="bibr">49</xref>]. However, it is not suitable for the detection of infection in some clinical units and large-scale epidemiological screening. Specific antibodies play important roles in determining the severity of human infection, and detection of these specific antibodies is used in the epidemiological investigation of MERS-CoV infection in animals and humans. Several methods can be used to detect serum antibodies against MERS-CoV, such as enzyme-linked immunosorbent assay (ELISA), microneutralization (MN), immunofluorescence assay (IFA), the plaque reduction neutralization test (PRNT), and the pseudovirus particle neutralization test (ppNT). Among these assays, MN, IFA, and PRNT depend on virus cultivation, and thus, require equipment and facilities located within a Biosafety Level 3 (BSL-3) laboratory [<xref rid="bb0005" ref-type="bibr">1</xref>,<xref rid="bb0015" ref-type="bibr">3</xref>,<xref rid="bb0060" ref-type="bibr">12</xref>,<xref rid="bb0090" ref-type="bibr">18</xref>,<xref rid="bb0175" ref-type="bibr">35</xref>,<xref rid="bb0195" ref-type="bibr">39</xref>,<xref rid="bb0250" ref-type="bibr">[50]</xref>, <xref rid="bb0255" ref-type="bibr">[51]</xref>, <xref rid="bb0260" ref-type="bibr">[52]</xref>, <xref rid="bb0265" ref-type="bibr">[53]</xref>, <xref rid="bb0270" ref-type="bibr">[54]</xref>]. While there are commercial anti-MERS-CoV serologic test kits for humans and animals including ELISA and IFA, rapid and sensitive serological assays for the detection of anti-MERS-CoV IgG independent of purified protein, specific secondary antibody, virus cultivation and BSL-3 facilities are still urgently needed.</p><p id="p8025">An ultrasensitive and high-throughput luciferase immunosorbent assay (LISA) based on recombinant antigens fused with NanoLuc luciferase (NLuc) has been reported to detect IgG against several pathogens [<xref rid="bb0275" ref-type="bibr">[55]</xref>, <xref rid="bb0280" ref-type="bibr">[56]</xref>, <xref rid="bb0285" ref-type="bibr">[57]</xref>, <xref rid="bb0290" ref-type="bibr">[58]</xref>]. This assay has the advantage of not requiring a BSL-3 laboratory facility and species-specific labeled secondary antibodies for detection. In this study, we developed various novel LISA platforms based on the MERS-CoV NP or fragments of S. The diagnostic performance of various MERS-CoV LISA were evaluated using serum panels from MERS-CoV-infected humans and animals, as well as sera from patients infected with other human CoV.</p></sec><sec id="s0010"><label>2</label><title>Materials and methods</title><sec id="s0015"><label>2.1</label><title>Samples and ethics</title><p id="p8030">Several panels for anti-MERS-CoV IgG detection were collected and stored at −70 °C before testing. The detailed information is described in <xref rid="t0005" ref-type="table">Table 1</xref>, <xref rid="t0010" ref-type="table">Table 2</xref>. In brief, these panels included the following. 1) Normal serum samples from 40 healthy blood donors without MERS-CoV infection, which were stored in our laboratory. 2) Convalescent sera from five MERS-CoV infected patients. Sera from five MERS-CoV patients with high antibody titers and sera from five MERS-CoV patients with medium titers were mixed to prepare two pooled convalescent serum samples. Control sera from seven non-MERS-CoV patients were from individuals with antibodies to common human CoV (HCoV), namely, HCoV-229E, HCoV-NL63, HCoV-OC43, and HCoV-HKU1, all of which were supplied by the WHO [<xref rid="bb0295" ref-type="bibr">59</xref>]. 3) Serum samples from confirmed MERS-CoV-infected camels from Saudi Arabia, were supplied by the University of Hong Kong. Serum samples from MERS-CoV-infected monkeys and mice were stored in our laboratory. Besides all the samples listed in <xref rid="t0005" ref-type="table">Table 1</xref>, <xref rid="t0010" ref-type="table">Table 2</xref>, one convalescent serum sample from the first imported MERS-CoV-infected patient in China was also detected in the study to characterize the LISAs. The present studies were approved by the Institutional Review Board of the National Institute for Viral Disease Control and Prevention, China CDC, and by the Ethics Committee of Southern Medical University (SMU No. 20160428).<table-wrap position="float" id="t0005"><label>Table 1</label><caption><p>Comparison of LISAs with ppNT and S1-ELISA.<xref rid="tf0005" ref-type="table-fn">a</xref></p></caption><alt-text id="al0035">Table 1</alt-text><table frame="hsides" rules="groups"><thead><tr><th rowspan="2">Name</th><th rowspan="2">Description</th><th rowspan="2">Number</th><th rowspan="2">Expected result</th><th rowspan="2">ppNT</th><th rowspan="2">ELISA</th><th colspan="3">LISA<hr></hr></th></tr><tr><th>S1</th><th>RBD</th><th>NP</th></tr></thead><tbody><tr><td>Convalescent sera</td><td>Individual serum from laboratory confirmed MERS patients</td><td>5</td><td>+</td><td>+</td><td>+</td><td>+</td><td>+</td><td>+</td></tr><tr><td>Pooled convalescent sera</td><td>Pooled serum samples from laboratory confirmed MERS patients</td><td>2</td><td>+</td><td>+</td><td>+</td><td>+</td><td>+</td><td>+</td></tr><tr><td>Non-MERS-CoV sera</td><td>Control sera from patients infected by common human coronaviruses<break></break>(OC43, NL63, 229E, HKU1)</td><td>7</td><td>−</td><td>−</td><td>−</td><td>−</td><td>−</td><td>−</td></tr><tr><td>Normal sera (negative) control</td><td>Serum samples from 40 healthy blood donors</td><td>40</td><td>−</td><td>−</td><td>−</td><td>−</td><td>−</td><td>−</td></tr></tbody></table><table-wrap-foot><fn id="tf0005"><label>a</label><p id="np0005">+, positive; −, negative.</p></fn></table-wrap-foot></table-wrap><table-wrap position="float" id="t0010"><label>Table 2</label><caption><p>Summary of the detection results in animal samples.</p></caption><alt-text id="al0040">Table 2</alt-text><table frame="hsides" rules="groups"><thead><tr><th>Sample<xref rid="tf0010" ref-type="table-fn">a</xref></th><th>RT-PCR<xref rid="tf0015" ref-type="table-fn">b</xref></th><th>ppNT</th><th>S1-LISA</th><th>RBD-LISA</th><th>NP-LISA</th></tr></thead><tbody><tr><td>C1</td><td>+</td><td>−</td><td>−</td><td>−</td><td>−</td></tr><tr><td>C2</td><td>+</td><td>+</td><td>+</td><td>+</td><td>−</td></tr><tr><td>C3</td><td>+</td><td>+</td><td>−</td><td>−</td><td>−</td></tr><tr><td>C4</td><td>+</td><td>+</td><td>+</td><td>+</td><td>+</td></tr><tr><td>C5</td><td>+</td><td>+</td><td>+</td><td>+</td><td>+</td></tr><tr><td>C6</td><td>+</td><td>+</td><td>+</td><td>+</td><td>+</td></tr><tr><td>C7</td><td>+</td><td>−</td><td>+</td><td>+</td><td>+</td></tr><tr><td>C8</td><td>+</td><td>+</td><td>+</td><td>+</td><td>+</td></tr><tr><td>C9</td><td>+</td><td>+</td><td>+</td><td>+</td><td>+</td></tr><tr><td>C10</td><td>+</td><td>+</td><td>+</td><td>+</td><td>−</td></tr><tr><td>C11</td><td>+</td><td>+</td><td>−</td><td>+</td><td>−</td></tr><tr><td>C12</td><td>+</td><td>+</td><td>+</td><td>+</td><td>+</td></tr><tr><td>C13</td><td>+</td><td>−</td><td>−</td><td>−</td><td>−</td></tr><tr><td>C14</td><td>+</td><td>+</td><td>−</td><td>+</td><td>−</td></tr><tr><td>C15</td><td>+</td><td>+</td><td>+</td><td>+</td><td>+</td></tr><tr><td>C16</td><td>+</td><td>+</td><td>+</td><td>+</td><td>+</td></tr><tr><td>C17</td><td>+</td><td>+</td><td>+</td><td>+</td><td>+</td></tr><tr><td>C18</td><td>+</td><td>+</td><td>+</td><td>+</td><td>+</td></tr><tr><td>C19</td><td>+</td><td>+</td><td>+</td><td>+</td><td>+</td></tr><tr><td>C20</td><td>+</td><td>+</td><td>−</td><td>+</td><td>−</td></tr><tr><td>C21-C38</td><td>−</td><td>−</td><td>−</td><td>−</td><td>−</td></tr><tr><td>R1</td><td>ND</td><td>−</td><td>−</td><td>−</td><td>−</td></tr><tr><td>R2</td><td>ND</td><td>+</td><td>+</td><td>+</td><td>+</td></tr><tr><td>R3</td><td>ND</td><td>+</td><td>+</td><td>+</td><td>+</td></tr><tr><td>M1</td><td>ND</td><td>+</td><td>+</td><td>+</td><td>+</td></tr><tr><td>M2</td><td>ND</td><td>+</td><td>+</td><td>+</td><td>+</td></tr></tbody></table><table-wrap-foot><fn id="tf0010"><label>a</label><p id="np0010">C, camel serum; C21-C38, normal camel serum controls; R1, marmoset serum, infected 3 days; R2, rhesus serum, infected 14 days; R3, rhesus serum, infected 21 days; M, MERS-CoV-infected mice.</p></fn></table-wrap-foot><table-wrap-foot><fn id="tf0015"><label>b</label><p id="np0015">Detection of nucleic acid extracted from swab samples; ND, not determined; +, positive; −, negative.</p></fn></table-wrap-foot></table-wrap></p></sec><sec id="s0020"><label>2.2</label><title>Construction and characterization of recombinant proteins comprised of various fragments of MERS-CoV proteins fused with luciferase</title><p id="p8035">As shown in <xref rid="f0005" ref-type="fig">Figure 1</xref>A, MERS-CoV NP (1–414 aa) and fragments of MERS-CoV S [S1 (1–734aa), N-terminal domain (NTD) (18–353 aa), RBD (367–606 aa), and S2 (788–1353 aa)] were amplified by RT-PCR. All of these gene fragments were cloned into the luciferase expression vector pNLF-1-N (Promega, Madison, WI, USA). All recombinant plasmids were confirmed by DNA sequencing. Human embryonic kidney (HEK) 293 T cells were seeded in a cell culture plate and cultured until the confluence reached >85%. Then recombinant plasmids were transfected into HEK 293 T cells using jetPRIME® transfection reagent (Polyplus, Illkirch, France) according to the manufacturer's instructions. After 48 h, cells were lysed on ice for 30 min in lysate buffer, and the supernatants were harvested after centrifugation at 12,000 × rpm for 5 min at 4 °C. The expression of NP or S fragments in the fusion proteins was verified by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and western blotting (WB). Nluc activities in the supernatants were detected after reacting with the luciferase substrate mix (Promega). Relative fluorescence intensity (RFI) values were immediately determined using the Gaomax luminometer (Promega).<fig id="f0005"><label>Figure 1</label><caption><p>Design diagrams of NLuc-fusion proteins and their expression in mammalian HEK 293 T cells. (A) Design diagram of five NLuc-antigen fusion proteins. The NLuc we used can be secreted. We list the marked “linker” as linker sequence (GSSG). (B) Expressions of the recombinant NLuc-S1, NLuc-NTD, NLuc-RBD, NLuc-S2, and NLuc-NP proteins were identified by a specific monoclonal antibody via WB.</p></caption><alt-text id="al0005">Figure 1</alt-text><graphic xlink:href="gr1"></graphic></fig></p></sec><sec id="s0025"><label>2.3</label><title>Development of the LISAs based on MERS-CoV NP and fragments of S</title><p id="p8040">Briefly, 96-well Costar flat-bottomed luminometry plates were coated with protein G (5 μg/mL, 100 μL/well) in carbonate buffer (pH 9.6) overnight at 4 °C. After three washes with phosphate-buffered saline (PBS) containing 0.05% Tween 20 (PBS-T), the plates were incubated with blocking solution (PBS containing 5% non-fat milk) for 1 h at 37 °C. Then the wells were washed, and aliquots of serially diluted sera (100 μL) were added to the wells and incubated for 1 h at 37 °C. The plates were washed and incubated with diluted Nluc-fusion proteins (50 μL) for 30 min at 37 °C. Then the plates were washed again, and luciferase substrate (50 μL) (Promega) was added to each well. RFI values were determined using a Gaomax luminometer (Promega). Each sample was tested in duplicate. The cut-off values were determined as two-fold the average of the normal controls. Negative controls were an equal volume mixture of sera from healthy blood donors. Results were expressed as the mean RFI from duplicate wells, and values were corrected by subtracting the RFI value of the background wells incubated with HEK 293 T cell extracts in the absence of sera.</p></sec><sec id="s0030"><label>2.4</label><title>qRT-PCR screening assay</title><p id="p8045">Detection of MERs-CoV-specific nucleic acid in the samples was performed using qRT-PCR targeting genes upstream of the envelope (upE) and NP (N) as previously reported [<xref rid="bb0300" ref-type="bibr">[60]</xref>, <xref rid="bb0305" ref-type="bibr">[61]</xref>, <xref rid="bb0310" ref-type="bibr">[62]</xref>].</p></sec><sec id="s0035"><label>2.5</label><title>Euroimmun S1-based ELISA for MERS-CoV</title><p id="p0050">A commercially available anti-MERS-CoV ELISA IgG kit was based on the purified MERS-CoV spike protein S1 domain (S1-based ELISA, Euroimmun, Lübeck, Germany). The samples were serially diluted and tested according to the manufacturer's recommendations [<xref rid="bb0315" ref-type="bibr">63</xref>]. Euroimmun recommends interpreting results in a semiquantitative way as follows: a ratio of the extinction of the control or patient sample over the extinction of the calibrator <0.8, 0.8–1.1, and ≥1.1 were defined as negative, borderline, and positive, respectively.</p></sec><sec id="s0040"><label>2.6</label><title>MERS-CoV S-based ppNT</title><p id="p0055">A MERS-CoV S-based ppNT was used to detect the neutralization activities of serum samples as previously reported [<xref rid="bb0315" ref-type="bibr">63</xref>]. The detection results were expressed as RLI. Serum neutralizing antibody activity was evaluated as the pseudovirus inhibition rate: Inhibition rate (%) = (RLI<sub>normal</sub> control − RLI<sub>samples</sub>)/RLI<sub>normal control</sub>] × 100. An inhibition rate ≥ 50% was characterized as positive neutralization activity.</p></sec><sec id="s0045"><label>2.7</label><title>Statistical analysis</title><p id="p0060">All data were analyzed using GraphPad Prism 5 (GraphPad Software Inc., La Jolla, CA, USA) and SPSS (IBM, New York, NY, USA). Pearson's correlation coefficients among different assays were calculated, and statistical significance was defined as a <italic>p</italic> value < 0.05.</p></sec></sec><sec id="s0050"><label>3</label><title>Results</title><sec id="s0055"><label>3.1</label><title>Expression of recombinant MERS-CoV NP and fragmented S proteins fused with luciferase</title><p id="p0065">To establish a novel detection method for MERS-CoV IgG, five recombinant plasmids based on NLuc were constructed, which separately contained the full-length of MERS-CoV NP or S1, NTD, RBD, and S2 of S, (<xref rid="f0005" ref-type="fig">Figure 1</xref>A). These plasmids were confirmed by restriction endonuclease digestion, gel electrophoresis and DNA sequencing. The recombinant plasmids were used to transfect HEK 293 T cells, and expression of the target proteins in the supernatants of the cell lysates were determined by WB using murine polyclonal antibodies against MERS-CoV (<xref rid="f0005" ref-type="fig">Figure 1</xref>B). These results confirmed the construction of the recombinant plasmids and expression of the target fusion proteins.</p></sec><sec id="s0060"><label>3.2</label><title>The optimal antigen or antigenic domains needed for anti-MERS-CoV IgG detection</title><p id="p0070">MERS-CoV NP and S1, NTD, RBD, and S2 of the S protein (<xref rid="f0005" ref-type="fig">Figure 1</xref>) were used to develop the LISA by characterizing the binding domains needed for anti-MERS-CoV IgG. In order to avoid the difference in transfection efficiency and protein expression from different preparations, we measured the luciferase activity of crude cell lysates to determine the RFI, which was usually between 10<sup>8</sup> and 10<sup>11</sup>. For individual antigens, cell lysates with a minimum of 10<sup>7</sup> RFI were added to each reaction in the LISA. In addition, we included positive and negative controls in each reaction plate to ensure that the results were consistent and reproducible. Normal (negative) controls of serum samples from 40 healthy blood donors were diluted by 1:100 and used to determine the background values and calculate the cut-off levels of anti MERS-CoV IgG detection by LISA. The cut-off values were determined to be 2-fold of the average RFI value of normal adult controls, i.e., 21,388, 17,344, 15,748, 18,398 and 15,259 for S1-, RBD-, NP-, NTD-, and S2-LISAs for MERS-CoV IgG, respectively. The serum sample from the first imported <xref rid="f0010" ref-type="fig">Figure 2</xref> MERS-CoV-infected patient in China was serially diluted and detected. The S1- and RBD-LISAs confirmed the positivity of the sample at a dilution as low as 1:1600, which was slightly better than the NP-LISA. However, the NTD-LISA was unable to distinguish the positive sample from the normal control at the dilution of 1:400, and S2-LISA was not able to detect the difference at a dilution of 1:100 (<xref rid="f0010" ref-type="fig">Figure 2</xref>). This indicated that the S1-, RBD-, and NP-LISAs were superior to the NTD- and S2-LISAs for detecting MRES-CoV IgG from human samples.<fig id="f0010"><label>Figure 2</label><caption><p>Sensitivities of the LISAs based on different NLuc-antigens. Serum samples from the first imported MERS patient in China collected 28 days after admission to the hospital (positive; Pos) were serially diluted and detected. One sample from a healthy blood donor was used as negative control (negative; Neg). Cut-off values were determined from serum samples from 40 healthy blood donors. RFI, relative fluorescence intensity.</p></caption><alt-text id="al0010">Figure 2</alt-text><graphic xlink:href="gr2"></graphic></fig></p></sec><sec id="s0065"><label>3.3</label><title>Comparison of the characteristics of MERS-CoV LISAs and the commercial S1-ELISA and ppNT for the detection of anti-MERS-CoV IgG</title><p id="p0075">To further confirm the efficiency of S1-, RBD-, and NP-LISAs, a panel of samples supplied by the WHO (<xref rid="t0005" ref-type="table">Table 1</xref>) were used to compare the efficacy of various LISAs in detecting anti-MERS-CoV IgG, together with the commercially available Euroimmune S1-ELISA and ppNT kits as controls. The results are summarized in <xref rid="t0005" ref-type="table">Table 1</xref> and illustrated in <xref rid="f0015" ref-type="fig">Figure 3</xref>. The NP-, S1-, and RBD-LISAs showed high consistency with S1-ELISA and ppNT. All of these methods were able to specifically distinguish MERS-CoV-infected samples from other HCoV-infected samples (<xref rid="t0005" ref-type="table">Table 1</xref> and <xref rid="f0015" ref-type="fig">Figure 3</xref>). Subsequently, correlations of S1-, RBD-, and NP-based LISAs with that based on the S1-ELISA were analyzed (<xref rid="f0020" ref-type="fig">Figure 4</xref>). The scatter plots showed excellent correlations between the S1-ELISA and the S1-, RBD-, NP-LISAs, with Pearson's correlation coefficients of 0.8096, 0.8218, and 0.8731, respectively. To further evaluate the sensitivity of the S1-ELISA and S1-, RBD-, NP-LISAs, several serum samples supplied by the WHO were diluted serially and detected by each of these assays (<xref rid="f0025" ref-type="fig">Figure 5</xref>). The RBD-LISA confirmed the positivity of all samples and S1-LISA confirmed two of four (the volume of the fifth serum was not enough for the detection) at a dilution as low as 1:25,600. RBD-LISA, and S1-LISA were highly superior to that of NP, which detected all samples as positive at a dilution of 1:1600. However, all four positive samples were not detected by the S1-ELISA, even at a 1:400 dilution, indicating that the lower limits of detection of the MERS-CoV LISAs were 16–64-fold higher than those of the S1-ELISA. Moreover, a receiver operating characteristic (ROC) analysis was conducted to determine the sensitivity and specificity of the S1-ELISA, S1-, RBD-, and NP-LISAs (<xref rid="f0030" ref-type="fig">Figure 6</xref>). When the serum was diluted to 1:100, the area under the curve (AUC) was calculated to be 1.0 for all four assays, and both the percentage of sensitivity and specificity for each assay was estimated to be 100% at the given cut-off values. When the serum was diluted to 1:400, 1:1600, and even 1:6400, the AUC for the S1-LISA and RBD-LISA was calculated to be 1.0, while the AUC for the NP-LISA and S1-ELISA declined slightly to 0.98 and 0.88, respectively. Additionally, the percentage of sensitivity and specificity for the S1-LISA and RBD-LISA was maintained at 100% at the given cut-off values; however, the sensitivity for NP-LISA and S1-ELISA declined to about 80% and 70%, respectively, even though the specificity was still 100%. These results indicated that the S1- and RBD-LISAs were superior to the NP-LISA and S1-ELISA in sensitivity and specificity for detecting anti-MERS-CoV antibodies in human serum samples.<fig id="f0015"><label>Figure 3</label><caption><p>Specificity and cross-reactivity of a LISA and commercial S1-ELISA were tested with a panel of sera. The panel included single and pooled convalescent sera from confirmed MERS patients and negative control serum. The details of the sample descriptions are shown in <xref rid="t0005" ref-type="table">Table 1</xref>.</p></caption><alt-text id="al0015">Figure 3</alt-text><graphic xlink:href="gr3"></graphic></fig><fig id="f0020"><label>Figure 4</label><caption><p>Correlation of the MERS-CoV LISAs (RFI) with the S1-ELISA (ratio) for detecting IgG antibody. Ratio of the S1-ELISA results was plotted against the RFI of the S1-LISA, RBD-LISA, and NP-LISA. The samples used in the plots included five convalescent serum samples from a MERS-CoV-infected patient with multiple dilutions and three sera from normal (negative) controls listed in <xref rid="t0005" ref-type="table">Table 1</xref>.</p></caption><alt-text id="al0020">Figure 4</alt-text><graphic xlink:href="gr4"></graphic></fig><fig id="f0025"><label>Figure 5</label><caption><p>Analysis of the sensitivity of MERS-CoV S1-ELISA and LISAs. Five samples (four convalescent sera from MERS-CoV-infected patients and one normal serum used as negative control, the volume of the fifth convalescent serum was not enough for detection) were serially diluted and dispensed into the wells of the same plate. Each sample was tested in duplicate. Data are representatively from at least two independent experiments.</p></caption><alt-text id="al0025">Figure 5</alt-text><graphic xlink:href="gr5"></graphic></fig><fig id="f0030"><label>Figure 6</label><caption><p>ROC analysis. AUC values for the WHO antibody panel were determined using a 1:100 dilution (left) or 1:100, 1:400, and 1:1600 to 1:6400 dilution (right) using commercial Euroimmun S1-ELISA (A), in-house S1-LISA (B), RBD-LISA (C), and NP-LISA (D).</p></caption><alt-text id="al0030">Figure 6</alt-text><graphic xlink:href="gr6"></graphic></fig></p></sec><sec id="s0070"><label>3.4</label><title>Application of LISA in detecting anti-MERS-CoV IgG from animal samples</title><p id="p0080">To further evaluate the efficiency of MERS-CoV-LISA, serum samples from uninfected camels (controls), MERS-CoV-infected camels (confirmed to be positive by RT-PCR), monkeys, and mice were detected using the above-mentioned LISAs, with ppNT as the control. The results are shown in <xref rid="t0010" ref-type="table">Table 2</xref>. All 18 normal camel samples (C21–C38) were confirmed to be negative by all the methods tested. A total of 17 of 20 MERS-CoV-infected camel samples were positive by ppNT, while C1, C7, and C13 were negative, which was inconsistent with RT-PCR results. Notably, C7 was positive for anti-MERS-CoV IgG based on the S1-, RBD-, and NP-LISAs, while C3 was detected as positive by ppNT but as negative for anti-MERS-CoV IgG based on S1-, RBD-, and NP-LISAs. Moreover, samples C11, C14, and C20 were determined to be positive by ppNT and RBD-LISA, but were negative by S1- and NP-LISA. Our results also showed that the two samples from MERS-CoV-infected marmoset monkeys (R2 and R3) and the two samples from MERS-CoV infected mice (M1 and M2) were positive via ppNT, as well as S1-, RBD-, and NP-LISAs. The results showed that if RT-PCR results served as the standard, the sensitivity of S1-, RBD-, and NP-LISA was 70%, 85%, and 60% respectively, and the specificity was 100% for all assays. When ppNT results served as the standard, the sensitivity was 81%, 95%, and 71%, respectively, and the specificity was 95% for all assays. The results showed that S1-, RBD-, and NP-LISAs were highly consistent with the ppNT results. In conclusion, MERS-CoV S1-, RBD-, and NP-LISAs showed high consistency with ppNT and RT-PCR. The RBD-LISA showed the highest consistency with ppNT (<xref rid="t0010" ref-type="table">Table 2</xref>).</p></sec></sec><sec id="s0075"><label>4</label><title>Discussion</title><p id="p0085">MERS is an emerging infectious disease with a high fatality rate [<xref rid="bb0320" ref-type="bibr">64</xref>]. Diagnosis of MERS-CoV infection using anti-MERS-CoV IgG is typical for post-exposure epidemiologic studies or seroprevalence investigations [<xref rid="bb0090" ref-type="bibr">18</xref>,<xref rid="bb0240" ref-type="bibr">48</xref>,<xref rid="bb0265" ref-type="bibr">53</xref>,<xref rid="bb0270" ref-type="bibr">54</xref>,<xref rid="bb0315" ref-type="bibr">63</xref>]. Although anti-MERS-CoV serologic test kits are commercially available, such as ELISA and IFA developed by Euroimmun (Lübeck, Germany), the performance (especially sensitivity as a screening test) of these kits needs to be optimized. In this study, we reported various novel MERS-CoV recombinant antigen-based LISAs that do not require a BSL-3 laboratory or species-specific secondary antibodies. Furthermore, these LISA-based assays are potentially useful for the rapid, specific, and sensitive detection of anti-MERS-CoV IgG in both humans and animals.</p><p id="p0090">Traditionally, PRNT and MN have been the standards for detecting MERS-CoV-specific antibodies. However, these assays are time-consuming, laborious, and require high-level biosafety facilities [<xref rid="bb0265" ref-type="bibr">53</xref>,<xref rid="bb0300" ref-type="bibr">60</xref>]. The performance of the commercial MERS-CoV S1-based ELISA has been assessed by different groups [<xref rid="bb0090" ref-type="bibr">18</xref>,<xref rid="bb0175" ref-type="bibr">35</xref>,<xref rid="bb0255" ref-type="bibr">51</xref>,<xref rid="bb0325" ref-type="bibr">65</xref>,<xref rid="bb0330" ref-type="bibr">66</xref>], all of which have shown that the sensitivity of this assay needs to be improved, as it shows high cut-off values from the optical density (OD) ratio (the manufacturer's instructions provided a higher breakpoint for ELISA IgG to warrant specificity, with a borderline OD ratio cut-off of 0.8–1.1 and positive ≥1.1). LISA is characterized by rapid preparation, ultra-sensitivity, high-throughput, and simple operation [<xref rid="bb0275" ref-type="bibr">55</xref>,<xref rid="bb0280" ref-type="bibr">56</xref>]. Cell lysates are directly used in the detection assay, which avoids purification and post-expression modifications [<xref rid="bb0275" ref-type="bibr">55</xref>]. In the current study, we developed LISAs for the detection of anti-MERS-CoV IgG in human and animal sera based on novel and ultrasensitive NLuc approaches. We compared LISAs with the commercially available S1-based ELISA kit using a panel of anti-MERS-CoV IgG sera. Our data indicated that several LISAs (RBD-, S1-, and NP-LISAs) were highly correlated and more sensitive (by at least 16-fold) than the S1-based ELISA in detecting anti-MERS-CoV IgG in patient samples. We also confirmed that the RBD-, S1-, and NP-LISAs were able to specifically recognize anti-MERS-CoV IgG without cross-reactiondy with samples derived from other HCoV (OC43, 229E, HKU1, NL63)-infected patients.</p><p id="p0095">Recently, Alagaili et al. [<xref rid="bb0165" ref-type="bibr">33</xref>] and Okba et al. [<xref rid="bb0335" ref-type="bibr">67</xref>] reported a luciferase immunoprecipitation system (LIPS) and detected MERS-CoV antibody with improved sensitivity and specificity. Compared to LIPS, LISA does not need pre-incubation of Ruc-antigen and samples and transfer of the mixture to a special 96-well filter plate containing the protein A/G beads. Moreover, LISA does not need a special plate washer with vacuum to capture the antigen-antibody-beads complex [<xref rid="bb0275" ref-type="bibr">55</xref>,<xref rid="bb0340" ref-type="bibr">68</xref>]. In the LISA system, Nluc replaced the Renilla luciferase used in LIPS. NLuc has been shown to generate a glow-type luminescence (signal half-life >2 h) with 150-fold greater activity than Renilla luciferase. It is also brighter than Firefly luciferase [<xref rid="bb0280" ref-type="bibr">56</xref>]. Lastly, it is easy to construct fusion proteins based on Nluc enzyme with the full length of 171 amino acids, which makes it an excellent reporter protein [<xref rid="bb0345" ref-type="bibr">69</xref>].</p><p id="p0100">CoV structural proteins, especially S and NP proteins, play important roles in CoV infection and detection. In addition, NP is probably the most abundant antigen after CoV infection [<xref rid="bb0225" ref-type="bibr">45</xref>], and antibodies to NP have been used as serological diagnostic biomarkers. To optimize the antigens for anti-MERS-CoV IgG detection, we constructed various NLuc fusion proteins based on MERS-CoV NP protein or fragments of S protein. Our results showed that S1-, RBD-, and NP-LISAs were more sensitive than the NTD- and S2-LISA for detecting anti-MERS-CoV IgG. Moreover, ROC analysis showed that S1- and RBD-LISAs were superior to the NP-LISA and S1-ELISA in regard to the sensitivity and specificity of detecting anti-MERS-CoV IgG in serum samples.</p><p id="p0105">MERS-CoV is a zoonotic disease that causes global public health concerns. Dromedary camels, bats, and other animals are potentially involved in MERS-CoV transmission [<xref rid="bb0005" ref-type="bibr">1</xref>,<xref rid="bb0060" ref-type="bibr">12</xref>,<xref rid="bb0175" ref-type="bibr">35</xref>,<xref rid="bb0210" ref-type="bibr">42</xref>,<xref rid="bb0300" ref-type="bibr">60</xref>]. Antibodies against MERS-CoV in domestic livestock (including dromedary camels) in the Middle-East and Africa were investigated using ppNT, MN, and IFA assays [<xref rid="bb0035" ref-type="bibr">7</xref>,<xref rid="bb0135" ref-type="bibr">27</xref>,<xref rid="bb0145" ref-type="bibr">29</xref>,<xref rid="bb0170" ref-type="bibr">[34]</xref>, <xref rid="bb0175" ref-type="bibr">[35]</xref>, <xref rid="bb0180" ref-type="bibr">[36]</xref>,<xref rid="bb0240" ref-type="bibr">48</xref>,<xref rid="bb0265" ref-type="bibr">53</xref>,<xref rid="bb0300" ref-type="bibr">60</xref>,<xref rid="bb0350" ref-type="bibr">70</xref>]. MERS-CoV IgG seropositivity gradually increased in dromedary calves from the Middle East with increasing age based on the S1-ELISA. Currently, there are several knowledge gaps regarding the zoonotic origin and animal-human interface of MERS-CoV infection due to limited tools and resources [<xref rid="bb0060" ref-type="bibr">12</xref>,<xref rid="bb0245" ref-type="bibr">49</xref>]. It is very important to establish a platform to screen anti-MERS-CoV IgG among different species in endemic areas and conduct a traceable investigation of animal epidemic foci. Theoretically, samples from vectors, such as mites and mosquitoes, as well as other animals, including bats, mice, camels, and monkeys, could be detected by LISA; however, these may not be detected using a typical ELISA due to the lack of suitable enzyme-labeled secondary antibodies. In this study, the commercial S1 ELISA did not detect positive sera samples from camels, monkeys, or mice. However, the positive samples were successfully detected by several LISAs established in this study, which proved the applicability and reliability of LISAs. Additionally, anti-MERS-CoV IgG detected by LISAs demonstrated a strong correlation with ppNT and RT-PCR from several animal hosts including camels, mice, and monkeys. Furthermore, RBD-LISA was the most sensitive LISA developed in this study. In conclusion, we have developed several novel LISAs for the detection of anti-MERS-CoV IgG in humans and animals. 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The funders had no role in the study design, data collection and analysis, decision to publish, or preparation of the manuscript.</p></sec><sec id="s0090"><title>Conflict of interest statement</title><p id="p0120">The authors declare that there are no conflicts of interest.</p></sec><sec id="s0085"><title>Author contributions</title><p id="p0115">Conception and design of the study: W. Wang, T. Wang, W. Tan and S. Tang; Performance of experiment: T. Wang, W. Wang, Y. Deng, P. Niu, R. A and M. Peiris; Providing samples: W. Wang, J. Zhao and M. Peiris; Statistical analysis: W. Wang, T. Wang and W. Tan; Drafting the article: W. Wang, T. Wang and W. Tan; Revision of the draft: J. Zhao, M. Peiris and S. Tang; Final approval of the version to be submitted: All authors.</p></sec></ack></back></pmc></record>Pour manipuler ce document sous Unix (Dilib)
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