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Evaluation of SARS-CoV-2 serology assays reveals a range of test performance
Appropriate use and interpretation of serological tests for assessments of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exposure, infection and potential immunity require accurate data on assay performance. We conducted a head-to-head evaluation of ten point-of-care-style lateral flo...
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Published in: | Nature biotechnology 2020-10, Vol.38 (10), p.1174-1183 |
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creator | Whitman, Jeffrey D. Hiatt, Joseph Mowery, Cody T. Shy, Brian R. Yu, Ruby Yamamoto, Tori N. Rathore, Ujjwal Goldgof, Gregory M. Whitty, Caroline Woo, Jonathan M. Gallman, Antonia E. Miller, Tyler E. Levine, Andrew G. Nguyen, David N. Bapat, Sagar P. Balcerek, Joanna Bylsma, Sophia A. Lyons, Ana M. Li, Stacy Wong, Allison Wai-yi Gillis-Buck, Eva Mae Steinhart, Zachary B. Lee, Youjin Apathy, Ryan Lipke, Mitchell J. Smith, Jennifer Anne Zheng, Tina Boothby, Ian C. Isaza, Erin Chan, Jackie Acenas, Dante D. Lee, Jinwoo Macrae, Trisha A. Kyaw, Than S. Wu, David Ng, Dianna L. Gu, Wei York, Vanessa A. Eskandarian, Haig Alexander Callaway, Perri C. Warrier, Lakshmi Moreno, Mary E. Levan, Justine Torres, Leonel Farrington, Lila A. Loudermilk, Rita P. Koshal, Kanishka Zorn, Kelsey C. Garcia-Beltran, Wilfredo F. Yang, Diane Astudillo, Michael G. Bernstein, Bradley E. Gelfand, Jeffrey A. Ryan, Edward T. Charles, Richelle C. Iafrate, A. John Lennerz, Jochen K. Miller, Steve Chiu, Charles Y. Stramer, Susan L. Wilson, Michael R. Manglik, Aashish Ye, Chun Jimmie Krogan, Nevan J. Anderson, Mark S. Cyster, Jason G. Ernst, Joel D. Wu, Alan H. B. Lynch, Kara L. Bern, Caryn Hsu, Patrick D. Marson, Alexander |
description | Appropriate use and interpretation of serological tests for assessments of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exposure, infection and potential immunity require accurate data on assay performance. We conducted a head-to-head evaluation of ten point-of-care-style lateral flow assays (LFAs) and two laboratory-based enzyme-linked immunosorbent assays to detect anti-SARS-CoV-2 IgM and IgG antibodies in 5-d time intervals from symptom onset and studied the specificity of each assay in pre-coronavirus disease 2019 specimens. The percent of seropositive individuals increased with time, peaking in the latest time interval tested (>20 d after symptom onset). Test specificity ranged from 84.3% to 100.0% and was predominantly affected by variability in IgM results. LFA specificity could be increased by considering weak bands as negative, but this decreased detection of antibodies (sensitivity) in a subset of SARS-CoV-2 real-time PCR-positive cases. Our results underline the importance of seropositivity threshold determination and reader training for reliable LFA deployment. Although there was no standout serological assay, four tests achieved more than 80% positivity at later time points tested and more than 95% specificity.
Of 12 serology assays tested, four detect antibodies in more than 80% of patients with COVID-19. |
doi_str_mv | 10.1038/s41587-020-0659-0 |
format | article |
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John ; Lennerz, Jochen K. ; Miller, Steve ; Chiu, Charles Y. ; Stramer, Susan L. ; Wilson, Michael R. ; Manglik, Aashish ; Ye, Chun Jimmie ; Krogan, Nevan J. ; Anderson, Mark S. ; Cyster, Jason G. ; Ernst, Joel D. ; Wu, Alan H. B. ; Lynch, Kara L. ; Bern, Caryn ; Hsu, Patrick D. ; Marson, Alexander</creator><creatorcontrib>Whitman, Jeffrey D. ; Hiatt, Joseph ; Mowery, Cody T. ; Shy, Brian R. ; Yu, Ruby ; Yamamoto, Tori N. ; Rathore, Ujjwal ; Goldgof, Gregory M. ; Whitty, Caroline ; Woo, Jonathan M. ; Gallman, Antonia E. ; Miller, Tyler E. ; Levine, Andrew G. ; Nguyen, David N. ; Bapat, Sagar P. ; Balcerek, Joanna ; Bylsma, Sophia A. ; Lyons, Ana M. ; Li, Stacy ; Wong, Allison Wai-yi ; Gillis-Buck, Eva Mae ; Steinhart, Zachary B. ; Lee, Youjin ; Apathy, Ryan ; Lipke, Mitchell J. ; Smith, Jennifer Anne ; Zheng, Tina ; Boothby, Ian C. ; Isaza, Erin ; Chan, Jackie ; Acenas, Dante D. ; Lee, Jinwoo ; Macrae, Trisha A. ; Kyaw, Than S. ; Wu, David ; Ng, Dianna L. ; Gu, Wei ; York, Vanessa A. ; Eskandarian, Haig Alexander ; Callaway, Perri C. ; Warrier, Lakshmi ; Moreno, Mary E. ; Levan, Justine ; Torres, Leonel ; Farrington, Lila A. ; Loudermilk, Rita P. ; Koshal, Kanishka ; Zorn, Kelsey C. ; Garcia-Beltran, Wilfredo F. ; Yang, Diane ; Astudillo, Michael G. ; Bernstein, Bradley E. ; Gelfand, Jeffrey A. ; Ryan, Edward T. ; Charles, Richelle C. ; Iafrate, A. John ; Lennerz, Jochen K. ; Miller, Steve ; Chiu, Charles Y. ; Stramer, Susan L. ; Wilson, Michael R. ; Manglik, Aashish ; Ye, Chun Jimmie ; Krogan, Nevan J. ; Anderson, Mark S. ; Cyster, Jason G. ; Ernst, Joel D. ; Wu, Alan H. B. ; Lynch, Kara L. ; Bern, Caryn ; Hsu, Patrick D. ; Marson, Alexander</creatorcontrib><description>Appropriate use and interpretation of serological tests for assessments of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exposure, infection and potential immunity require accurate data on assay performance. We conducted a head-to-head evaluation of ten point-of-care-style lateral flow assays (LFAs) and two laboratory-based enzyme-linked immunosorbent assays to detect anti-SARS-CoV-2 IgM and IgG antibodies in 5-d time intervals from symptom onset and studied the specificity of each assay in pre-coronavirus disease 2019 specimens. The percent of seropositive individuals increased with time, peaking in the latest time interval tested (>20 d after symptom onset). Test specificity ranged from 84.3% to 100.0% and was predominantly affected by variability in IgM results. LFA specificity could be increased by considering weak bands as negative, but this decreased detection of antibodies (sensitivity) in a subset of SARS-CoV-2 real-time PCR-positive cases. Our results underline the importance of seropositivity threshold determination and reader training for reliable LFA deployment. Although there was no standout serological assay, four tests achieved more than 80% positivity at later time points tested and more than 95% specificity.
Of 12 serology assays tested, four detect antibodies in more than 80% of patients with COVID-19.</description><identifier>ISSN: 1087-0156</identifier><identifier>EISSN: 1546-1696</identifier><identifier>DOI: 10.1038/s41587-020-0659-0</identifier><identifier>PMID: 32855547</identifier><language>eng</language><publisher>New York: Nature Publishing Group US</publisher><subject>692/699/255/2514 ; 692/700/139/1420 ; Adult ; Aged ; Aged, 80 and over ; Agriculture ; Antibodies ; Antibodies, Viral - blood ; Assaying ; Betacoronavirus - genetics ; Betacoronavirus - immunology ; Betacoronavirus - isolation & purification ; Biochemical assays ; Bioinformatics ; Biomedical and Life Sciences ; Biomedical Engineering/Biotechnology ; Biomedicine ; Biotechnology ; Chromatography, Affinity ; Clinical Laboratory Techniques - methods ; Clinical Laboratory Techniques - statistics & numerical data ; Coronaviridae ; Coronavirus Infections - diagnosis ; Coronavirus Infections - epidemiology ; Coronavirus Infections - immunology ; Coronaviruses ; COVID-19 ; COVID-19 Testing ; Diagnosis ; Enzyme-Linked Immunosorbent Assay ; Enzymes ; Evaluation ; Female ; Health aspects ; Humans ; Immunoassays ; Immunoglobulin G ; Immunoglobulin G - blood ; Immunoglobulin M ; Immunoglobulin M - blood ; Life Sciences ; Male ; Middle Aged ; Pandemics ; Pneumonia, Viral - diagnosis ; Pneumonia, Viral - epidemiology ; Pneumonia, Viral - immunology ; Point-of-Care Testing ; Reverse Transcriptase Polymerase Chain Reaction ; SARS-CoV-2 ; Sensitivity and Specificity ; Serodiagnosis ; Serological tests ; Serology ; Severe acute respiratory syndrome ; Severe acute respiratory syndrome coronavirus 2 ; Type 2 diabetes ; Viral diseases ; Young Adult</subject><ispartof>Nature biotechnology, 2020-10, Vol.38 (10), p.1174-1183</ispartof><rights>The Author(s), under exclusive licence to Springer Nature America, Inc. 2020</rights><rights>COPYRIGHT 2020 Nature Publishing Group</rights><rights>The Author(s), under exclusive licence to Springer Nature America, Inc. 2020.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c5330-af8c1aea15451910ceef18b6491134e890691e01ab920fc8bd9752b826e21b843</citedby><cites>FETCH-LOGICAL-c5330-af8c1aea15451910ceef18b6491134e890691e01ab920fc8bd9752b826e21b843</cites><orcidid>0000-0001-9951-6207 ; 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John</creatorcontrib><creatorcontrib>Lennerz, Jochen K.</creatorcontrib><creatorcontrib>Miller, Steve</creatorcontrib><creatorcontrib>Chiu, Charles Y.</creatorcontrib><creatorcontrib>Stramer, Susan L.</creatorcontrib><creatorcontrib>Wilson, Michael R.</creatorcontrib><creatorcontrib>Manglik, Aashish</creatorcontrib><creatorcontrib>Ye, Chun Jimmie</creatorcontrib><creatorcontrib>Krogan, Nevan J.</creatorcontrib><creatorcontrib>Anderson, Mark S.</creatorcontrib><creatorcontrib>Cyster, Jason G.</creatorcontrib><creatorcontrib>Ernst, Joel D.</creatorcontrib><creatorcontrib>Wu, Alan H. B.</creatorcontrib><creatorcontrib>Lynch, Kara L.</creatorcontrib><creatorcontrib>Bern, Caryn</creatorcontrib><creatorcontrib>Hsu, Patrick D.</creatorcontrib><creatorcontrib>Marson, Alexander</creatorcontrib><title>Evaluation of SARS-CoV-2 serology assays reveals a range of test performance</title><title>Nature biotechnology</title><addtitle>Nat Biotechnol</addtitle><addtitle>Nat Biotechnol</addtitle><description>Appropriate use and interpretation of serological tests for assessments of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exposure, infection and potential immunity require accurate data on assay performance. We conducted a head-to-head evaluation of ten point-of-care-style lateral flow assays (LFAs) and two laboratory-based enzyme-linked immunosorbent assays to detect anti-SARS-CoV-2 IgM and IgG antibodies in 5-d time intervals from symptom onset and studied the specificity of each assay in pre-coronavirus disease 2019 specimens. The percent of seropositive individuals increased with time, peaking in the latest time interval tested (>20 d after symptom onset). Test specificity ranged from 84.3% to 100.0% and was predominantly affected by variability in IgM results. LFA specificity could be increased by considering weak bands as negative, but this decreased detection of antibodies (sensitivity) in a subset of SARS-CoV-2 real-time PCR-positive cases. Our results underline the importance of seropositivity threshold determination and reader training for reliable LFA deployment. Although there was no standout serological assay, four tests achieved more than 80% positivity at later time points tested and more than 95% specificity.
Of 12 serology assays tested, four detect antibodies in more than 80% of patients with COVID-19.</description><subject>692/699/255/2514</subject><subject>692/700/139/1420</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Agriculture</subject><subject>Antibodies</subject><subject>Antibodies, Viral - blood</subject><subject>Assaying</subject><subject>Betacoronavirus - genetics</subject><subject>Betacoronavirus - immunology</subject><subject>Betacoronavirus - isolation & purification</subject><subject>Biochemical assays</subject><subject>Bioinformatics</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedical Engineering/Biotechnology</subject><subject>Biomedicine</subject><subject>Biotechnology</subject><subject>Chromatography, Affinity</subject><subject>Clinical Laboratory Techniques - methods</subject><subject>Clinical Laboratory Techniques - statistics & numerical data</subject><subject>Coronaviridae</subject><subject>Coronavirus Infections - diagnosis</subject><subject>Coronavirus Infections - epidemiology</subject><subject>Coronavirus Infections - immunology</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 Testing</subject><subject>Diagnosis</subject><subject>Enzyme-Linked Immunosorbent Assay</subject><subject>Enzymes</subject><subject>Evaluation</subject><subject>Female</subject><subject>Health aspects</subject><subject>Humans</subject><subject>Immunoassays</subject><subject>Immunoglobulin G</subject><subject>Immunoglobulin G - blood</subject><subject>Immunoglobulin M</subject><subject>Immunoglobulin M - blood</subject><subject>Life Sciences</subject><subject>Male</subject><subject>Middle Aged</subject><subject>Pandemics</subject><subject>Pneumonia, Viral - diagnosis</subject><subject>Pneumonia, Viral - epidemiology</subject><subject>Pneumonia, Viral - immunology</subject><subject>Point-of-Care Testing</subject><subject>Reverse Transcriptase Polymerase Chain Reaction</subject><subject>SARS-CoV-2</subject><subject>Sensitivity and Specificity</subject><subject>Serodiagnosis</subject><subject>Serological tests</subject><subject>Serology</subject><subject>Severe acute respiratory syndrome</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Type 2 diabetes</subject><subject>Viral diseases</subject><subject>Young Adult</subject><issn>1087-0156</issn><issn>1546-1696</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNqN0m1r1TAUB_AiinvQD-AbKQiiYGcemjR5eblsOrgw2NW9DWnuae1om2tOO7zf3pROZ8WBFNLS_M7hkPyT5BUlZ5Rw9RFzKlSREUYyIoXOyJPkmIpcZlRq-TR-k2mXCnmUnCDeEkJkLuXz5IgzJYTIi-Nkc35n29EOje9TX6Xb1fU2W_ubjKUIwbe-PqQW0R4wDXAHtsXUpsH2NUx6ABzSPYTKh872Dl4kz6pI4OX9-zT5enH-Zf0521x9ulyvNpkTnJPMVspRCzaOKqimxAFUVJUy15TyHJQmUlMg1JaakcqpcqcLwUrFJDBaqpyfJu_mvvvgv49xCNM16KBtbQ9-RMNyrqTinJFI3_xFb_0Y-jhdVIUsJJO6eFC1bcE0feWHYN3U1KwkL0TBNJ_U2T9UfHbQNc73UDXx_6Lg7aIgmgF-DLUdEc0Svn8cXm6v_99e3Szthz9sOWLTA8YFm_rbgHPJgtOZu-ARA1RmH5rOhoOhxEyJM3PiTEycmRJnpgN-fX_AY9nB7nfFr4hFwGaAcSsGJzzcwONdfwLN2dm6</recordid><startdate>20201001</startdate><enddate>20201001</enddate><creator>Whitman, Jeffrey D.</creator><creator>Hiatt, Joseph</creator><creator>Mowery, Cody T.</creator><creator>Shy, Brian R.</creator><creator>Yu, Ruby</creator><creator>Yamamoto, Tori N.</creator><creator>Rathore, Ujjwal</creator><creator>Goldgof, Gregory M.</creator><creator>Whitty, Caroline</creator><creator>Woo, Jonathan M.</creator><creator>Gallman, Antonia E.</creator><creator>Miller, Tyler E.</creator><creator>Levine, Andrew G.</creator><creator>Nguyen, David N.</creator><creator>Bapat, Sagar P.</creator><creator>Balcerek, Joanna</creator><creator>Bylsma, Sophia A.</creator><creator>Lyons, Ana M.</creator><creator>Li, Stacy</creator><creator>Wong, Allison Wai-yi</creator><creator>Gillis-Buck, Eva Mae</creator><creator>Steinhart, Zachary B.</creator><creator>Lee, Youjin</creator><creator>Apathy, Ryan</creator><creator>Lipke, Mitchell J.</creator><creator>Smith, Jennifer Anne</creator><creator>Zheng, Tina</creator><creator>Boothby, Ian C.</creator><creator>Isaza, Erin</creator><creator>Chan, Jackie</creator><creator>Acenas, Dante D.</creator><creator>Lee, Jinwoo</creator><creator>Macrae, Trisha A.</creator><creator>Kyaw, Than S.</creator><creator>Wu, David</creator><creator>Ng, Dianna L.</creator><creator>Gu, Wei</creator><creator>York, Vanessa A.</creator><creator>Eskandarian, Haig Alexander</creator><creator>Callaway, Perri C.</creator><creator>Warrier, Lakshmi</creator><creator>Moreno, Mary E.</creator><creator>Levan, Justine</creator><creator>Torres, Leonel</creator><creator>Farrington, Lila A.</creator><creator>Loudermilk, Rita P.</creator><creator>Koshal, Kanishka</creator><creator>Zorn, Kelsey C.</creator><creator>Garcia-Beltran, Wilfredo F.</creator><creator>Yang, Diane</creator><creator>Astudillo, Michael G.</creator><creator>Bernstein, Bradley E.</creator><creator>Gelfand, Jeffrey A.</creator><creator>Ryan, Edward T.</creator><creator>Charles, Richelle C.</creator><creator>Iafrate, A. 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John ; Lennerz, Jochen K. ; Miller, Steve ; Chiu, Charles Y. ; Stramer, Susan L. ; Wilson, Michael R. ; Manglik, Aashish ; Ye, Chun Jimmie ; Krogan, Nevan J. ; Anderson, Mark S. ; Cyster, Jason G. ; Ernst, Joel D. ; Wu, Alan H. B. ; Lynch, Kara L. ; Bern, Caryn ; Hsu, Patrick D. ; Marson, Alexander</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c5330-af8c1aea15451910ceef18b6491134e890691e01ab920fc8bd9752b826e21b843</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>692/699/255/2514</topic><topic>692/700/139/1420</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Agriculture</topic><topic>Antibodies</topic><topic>Antibodies, Viral - blood</topic><topic>Assaying</topic><topic>Betacoronavirus - genetics</topic><topic>Betacoronavirus - immunology</topic><topic>Betacoronavirus - isolation & purification</topic><topic>Biochemical assays</topic><topic>Bioinformatics</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedical Engineering/Biotechnology</topic><topic>Biomedicine</topic><topic>Biotechnology</topic><topic>Chromatography, Affinity</topic><topic>Clinical Laboratory Techniques - methods</topic><topic>Clinical Laboratory Techniques - statistics & numerical data</topic><topic>Coronaviridae</topic><topic>Coronavirus Infections - diagnosis</topic><topic>Coronavirus Infections - epidemiology</topic><topic>Coronavirus Infections - immunology</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 Testing</topic><topic>Diagnosis</topic><topic>Enzyme-Linked Immunosorbent Assay</topic><topic>Enzymes</topic><topic>Evaluation</topic><topic>Female</topic><topic>Health aspects</topic><topic>Humans</topic><topic>Immunoassays</topic><topic>Immunoglobulin G</topic><topic>Immunoglobulin G - blood</topic><topic>Immunoglobulin M</topic><topic>Immunoglobulin M - blood</topic><topic>Life Sciences</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Pandemics</topic><topic>Pneumonia, Viral - diagnosis</topic><topic>Pneumonia, Viral - epidemiology</topic><topic>Pneumonia, Viral - immunology</topic><topic>Point-of-Care Testing</topic><topic>Reverse Transcriptase Polymerase Chain Reaction</topic><topic>SARS-CoV-2</topic><topic>Sensitivity and Specificity</topic><topic>Serodiagnosis</topic><topic>Serological tests</topic><topic>Serology</topic><topic>Severe acute respiratory syndrome</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Type 2 diabetes</topic><topic>Viral diseases</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Whitman, Jeffrey D.</creatorcontrib><creatorcontrib>Hiatt, Joseph</creatorcontrib><creatorcontrib>Mowery, Cody T.</creatorcontrib><creatorcontrib>Shy, Brian R.</creatorcontrib><creatorcontrib>Yu, Ruby</creatorcontrib><creatorcontrib>Yamamoto, Tori N.</creatorcontrib><creatorcontrib>Rathore, Ujjwal</creatorcontrib><creatorcontrib>Goldgof, Gregory M.</creatorcontrib><creatorcontrib>Whitty, Caroline</creatorcontrib><creatorcontrib>Woo, Jonathan M.</creatorcontrib><creatorcontrib>Gallman, Antonia E.</creatorcontrib><creatorcontrib>Miller, Tyler E.</creatorcontrib><creatorcontrib>Levine, Andrew G.</creatorcontrib><creatorcontrib>Nguyen, David N.</creatorcontrib><creatorcontrib>Bapat, Sagar P.</creatorcontrib><creatorcontrib>Balcerek, Joanna</creatorcontrib><creatorcontrib>Bylsma, Sophia A.</creatorcontrib><creatorcontrib>Lyons, Ana M.</creatorcontrib><creatorcontrib>Li, Stacy</creatorcontrib><creatorcontrib>Wong, Allison Wai-yi</creatorcontrib><creatorcontrib>Gillis-Buck, Eva Mae</creatorcontrib><creatorcontrib>Steinhart, Zachary B.</creatorcontrib><creatorcontrib>Lee, Youjin</creatorcontrib><creatorcontrib>Apathy, Ryan</creatorcontrib><creatorcontrib>Lipke, Mitchell J.</creatorcontrib><creatorcontrib>Smith, Jennifer Anne</creatorcontrib><creatorcontrib>Zheng, Tina</creatorcontrib><creatorcontrib>Boothby, Ian C.</creatorcontrib><creatorcontrib>Isaza, Erin</creatorcontrib><creatorcontrib>Chan, Jackie</creatorcontrib><creatorcontrib>Acenas, Dante D.</creatorcontrib><creatorcontrib>Lee, Jinwoo</creatorcontrib><creatorcontrib>Macrae, Trisha A.</creatorcontrib><creatorcontrib>Kyaw, Than S.</creatorcontrib><creatorcontrib>Wu, David</creatorcontrib><creatorcontrib>Ng, Dianna L.</creatorcontrib><creatorcontrib>Gu, Wei</creatorcontrib><creatorcontrib>York, Vanessa A.</creatorcontrib><creatorcontrib>Eskandarian, Haig Alexander</creatorcontrib><creatorcontrib>Callaway, Perri C.</creatorcontrib><creatorcontrib>Warrier, Lakshmi</creatorcontrib><creatorcontrib>Moreno, Mary E.</creatorcontrib><creatorcontrib>Levan, Justine</creatorcontrib><creatorcontrib>Torres, Leonel</creatorcontrib><creatorcontrib>Farrington, Lila A.</creatorcontrib><creatorcontrib>Loudermilk, Rita P.</creatorcontrib><creatorcontrib>Koshal, Kanishka</creatorcontrib><creatorcontrib>Zorn, Kelsey C.</creatorcontrib><creatorcontrib>Garcia-Beltran, Wilfredo F.</creatorcontrib><creatorcontrib>Yang, Diane</creatorcontrib><creatorcontrib>Astudillo, Michael G.</creatorcontrib><creatorcontrib>Bernstein, Bradley E.</creatorcontrib><creatorcontrib>Gelfand, Jeffrey A.</creatorcontrib><creatorcontrib>Ryan, Edward T.</creatorcontrib><creatorcontrib>Charles, Richelle C.</creatorcontrib><creatorcontrib>Iafrate, A. 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Academic</collection><jtitle>Nature biotechnology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Whitman, Jeffrey D.</au><au>Hiatt, Joseph</au><au>Mowery, Cody T.</au><au>Shy, Brian R.</au><au>Yu, Ruby</au><au>Yamamoto, Tori N.</au><au>Rathore, Ujjwal</au><au>Goldgof, Gregory M.</au><au>Whitty, Caroline</au><au>Woo, Jonathan M.</au><au>Gallman, Antonia E.</au><au>Miller, Tyler E.</au><au>Levine, Andrew G.</au><au>Nguyen, David N.</au><au>Bapat, Sagar P.</au><au>Balcerek, Joanna</au><au>Bylsma, Sophia A.</au><au>Lyons, Ana M.</au><au>Li, Stacy</au><au>Wong, Allison Wai-yi</au><au>Gillis-Buck, Eva Mae</au><au>Steinhart, Zachary B.</au><au>Lee, Youjin</au><au>Apathy, Ryan</au><au>Lipke, Mitchell J.</au><au>Smith, Jennifer Anne</au><au>Zheng, Tina</au><au>Boothby, Ian C.</au><au>Isaza, Erin</au><au>Chan, Jackie</au><au>Acenas, Dante D.</au><au>Lee, Jinwoo</au><au>Macrae, Trisha A.</au><au>Kyaw, Than S.</au><au>Wu, David</au><au>Ng, Dianna L.</au><au>Gu, Wei</au><au>York, Vanessa A.</au><au>Eskandarian, Haig Alexander</au><au>Callaway, Perri C.</au><au>Warrier, Lakshmi</au><au>Moreno, Mary E.</au><au>Levan, Justine</au><au>Torres, Leonel</au><au>Farrington, Lila A.</au><au>Loudermilk, Rita P.</au><au>Koshal, Kanishka</au><au>Zorn, Kelsey C.</au><au>Garcia-Beltran, Wilfredo F.</au><au>Yang, Diane</au><au>Astudillo, Michael G.</au><au>Bernstein, Bradley E.</au><au>Gelfand, Jeffrey A.</au><au>Ryan, Edward T.</au><au>Charles, Richelle C.</au><au>Iafrate, A. John</au><au>Lennerz, Jochen K.</au><au>Miller, Steve</au><au>Chiu, Charles Y.</au><au>Stramer, Susan L.</au><au>Wilson, Michael R.</au><au>Manglik, Aashish</au><au>Ye, Chun Jimmie</au><au>Krogan, Nevan J.</au><au>Anderson, Mark S.</au><au>Cyster, Jason G.</au><au>Ernst, Joel D.</au><au>Wu, Alan H. B.</au><au>Lynch, Kara L.</au><au>Bern, Caryn</au><au>Hsu, Patrick D.</au><au>Marson, Alexander</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of SARS-CoV-2 serology assays reveals a range of test performance</atitle><jtitle>Nature biotechnology</jtitle><stitle>Nat Biotechnol</stitle><addtitle>Nat Biotechnol</addtitle><date>2020-10-01</date><risdate>2020</risdate><volume>38</volume><issue>10</issue><spage>1174</spage><epage>1183</epage><pages>1174-1183</pages><issn>1087-0156</issn><eissn>1546-1696</eissn><abstract>Appropriate use and interpretation of serological tests for assessments of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) exposure, infection and potential immunity require accurate data on assay performance. We conducted a head-to-head evaluation of ten point-of-care-style lateral flow assays (LFAs) and two laboratory-based enzyme-linked immunosorbent assays to detect anti-SARS-CoV-2 IgM and IgG antibodies in 5-d time intervals from symptom onset and studied the specificity of each assay in pre-coronavirus disease 2019 specimens. The percent of seropositive individuals increased with time, peaking in the latest time interval tested (>20 d after symptom onset). Test specificity ranged from 84.3% to 100.0% and was predominantly affected by variability in IgM results. LFA specificity could be increased by considering weak bands as negative, but this decreased detection of antibodies (sensitivity) in a subset of SARS-CoV-2 real-time PCR-positive cases. Our results underline the importance of seropositivity threshold determination and reader training for reliable LFA deployment. Although there was no standout serological assay, four tests achieved more than 80% positivity at later time points tested and more than 95% specificity.
Of 12 serology assays tested, four detect antibodies in more than 80% of patients with COVID-19.</abstract><cop>New York</cop><pub>Nature Publishing Group US</pub><pmid>32855547</pmid><doi>10.1038/s41587-020-0659-0</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0001-9951-6207</orcidid><orcidid>https://orcid.org/0000-0001-6808-2717</orcidid><orcidid>https://orcid.org/0000-0002-0610-0550</orcidid><orcidid>https://orcid.org/0000-0002-8881-1849</orcidid><orcidid>https://orcid.org/0000-0002-8705-5084</orcidid><orcidid>https://orcid.org/0000-0002-2398-5768</orcidid><orcidid>https://orcid.org/0000-0002-5726-6278</orcidid><orcidid>https://orcid.org/0000-0002-2734-5776</orcidid><orcidid>https://orcid.org/0000-0003-2915-2094</orcidid><orcidid>https://orcid.org/0000-0003-2434-4978</orcidid><orcidid>https://orcid.org/0000-0001-9970-5112</orcidid><orcidid>https://orcid.org/0000-0003-4902-337X</orcidid><orcidid>https://orcid.org/0000-0002-3502-5799</orcidid><orcidid>https://orcid.org/0000-0001-5061-8923</orcidid><orcidid>https://orcid.org/0000-0003-2991-4183</orcidid><orcidid>https://orcid.org/0000-0001-6560-3783</orcidid><orcidid>https://orcid.org/0000-0002-7173-3741</orcidid><orcidid>https://orcid.org/0000-0002-1112-2834</orcidid><orcidid>https://orcid.org/0000-0002-8451-955X</orcidid><orcidid>https://orcid.org/0000-0001-8195-7303</orcidid><orcidid>https://orcid.org/0000-0002-1269-1895</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1087-0156 |
ispartof | Nature biotechnology, 2020-10, Vol.38 (10), p.1174-1183 |
issn | 1087-0156 1546-1696 |
language | eng |
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source | Springer Nature - Connect here FIRST to enable access |
subjects | 692/699/255/2514 692/700/139/1420 Adult Aged Aged, 80 and over Agriculture Antibodies Antibodies, Viral - blood Assaying Betacoronavirus - genetics Betacoronavirus - immunology Betacoronavirus - isolation & purification Biochemical assays Bioinformatics Biomedical and Life Sciences Biomedical Engineering/Biotechnology Biomedicine Biotechnology Chromatography, Affinity Clinical Laboratory Techniques - methods Clinical Laboratory Techniques - statistics & numerical data Coronaviridae Coronavirus Infections - diagnosis Coronavirus Infections - epidemiology Coronavirus Infections - immunology Coronaviruses COVID-19 COVID-19 Testing Diagnosis Enzyme-Linked Immunosorbent Assay Enzymes Evaluation Female Health aspects Humans Immunoassays Immunoglobulin G Immunoglobulin G - blood Immunoglobulin M Immunoglobulin M - blood Life Sciences Male Middle Aged Pandemics Pneumonia, Viral - diagnosis Pneumonia, Viral - epidemiology Pneumonia, Viral - immunology Point-of-Care Testing Reverse Transcriptase Polymerase Chain Reaction SARS-CoV-2 Sensitivity and Specificity Serodiagnosis Serological tests Serology Severe acute respiratory syndrome Severe acute respiratory syndrome coronavirus 2 Type 2 diabetes Viral diseases Young Adult |
title | Evaluation of SARS-CoV-2 serology assays reveals a range of test performance |
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