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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
Main Authors: 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
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cited_by cdi_FETCH-LOGICAL-c5330-af8c1aea15451910ceef18b6491134e890691e01ab920fc8bd9752b826e21b843
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container_title Nature biotechnology
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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
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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 (&gt;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 &amp; 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 &amp; numerical data</subject><subject>Coronaviridae</subject><subject>Coronavirus Infections - 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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 &amp; 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 &amp; 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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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 (&gt;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>
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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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