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Ultrasensitive high-resolution profiling of early seroconversion in patients with COVID-19

Sensitive assays are essential for the accurate identification of individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Here, we report a multiplexed assay for the fluorescence-based detection of seroconversion in infected individuals from less than 1 µl of blood, a...

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Autores principales: Norman, Maia, Gilboa, Tal, Ogata, Alana F., Maley, Adam M., Cohen, Limor, Busch, Evan L., Lazarovits, Roey, Mao, Chih-Ping, Cai, Yongfei, Zhang, Jun, Feldman, Jared E., Hauser, Blake M., Caradonna, Timothy M., Chen, Bing, Schmidt, Aaron G., Alter, Galit, Charles, Richelle C., Ryan, Edward T., Walt, David R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498988/
https://www.ncbi.nlm.nih.gov/pubmed/32948854
http://dx.doi.org/10.1038/s41551-020-00611-x
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author Norman, Maia
Gilboa, Tal
Ogata, Alana F.
Maley, Adam M.
Cohen, Limor
Busch, Evan L.
Lazarovits, Roey
Mao, Chih-Ping
Cai, Yongfei
Zhang, Jun
Feldman, Jared E.
Hauser, Blake M.
Caradonna, Timothy M.
Chen, Bing
Schmidt, Aaron G.
Alter, Galit
Charles, Richelle C.
Ryan, Edward T.
Walt, David R.
author_facet Norman, Maia
Gilboa, Tal
Ogata, Alana F.
Maley, Adam M.
Cohen, Limor
Busch, Evan L.
Lazarovits, Roey
Mao, Chih-Ping
Cai, Yongfei
Zhang, Jun
Feldman, Jared E.
Hauser, Blake M.
Caradonna, Timothy M.
Chen, Bing
Schmidt, Aaron G.
Alter, Galit
Charles, Richelle C.
Ryan, Edward T.
Walt, David R.
author_sort Norman, Maia
collection PubMed
description Sensitive assays are essential for the accurate identification of individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Here, we report a multiplexed assay for the fluorescence-based detection of seroconversion in infected individuals from less than 1 µl of blood, and as early as the day of the first positive nucleic acid test after symptom onset. The assay uses dye-encoded antigen-coated beads to quantify the levels of immunoglobulin G (IgG), IgM and IgA antibodies against four SARS-CoV-2 antigens. A logistic regression model trained using samples collected during the pandemic and samples collected from healthy individuals and patients with respiratory infections before the first outbreak of coronavirus disease 2019 (COVID-19) was 99% accurate in the detection of seroconversion in a blinded validation cohort of samples collected before the pandemic and from patients with COVID-19 five or more days after a positive nasopharyngeal test by PCR with reverse transcription. The high-throughput serological profiling of patients with COVID-19 allows for the interrogation of interactions between antibody isotypes and viral proteins, and should help us to understand the heterogeneity of clinical presentations.
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spelling pubmed-74989882020-09-18 Ultrasensitive high-resolution profiling of early seroconversion in patients with COVID-19 Norman, Maia Gilboa, Tal Ogata, Alana F. Maley, Adam M. Cohen, Limor Busch, Evan L. Lazarovits, Roey Mao, Chih-Ping Cai, Yongfei Zhang, Jun Feldman, Jared E. Hauser, Blake M. Caradonna, Timothy M. Chen, Bing Schmidt, Aaron G. Alter, Galit Charles, Richelle C. Ryan, Edward T. Walt, David R. Nat Biomed Eng Article Sensitive assays are essential for the accurate identification of individuals infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Here, we report a multiplexed assay for the fluorescence-based detection of seroconversion in infected individuals from less than 1 µl of blood, and as early as the day of the first positive nucleic acid test after symptom onset. The assay uses dye-encoded antigen-coated beads to quantify the levels of immunoglobulin G (IgG), IgM and IgA antibodies against four SARS-CoV-2 antigens. A logistic regression model trained using samples collected during the pandemic and samples collected from healthy individuals and patients with respiratory infections before the first outbreak of coronavirus disease 2019 (COVID-19) was 99% accurate in the detection of seroconversion in a blinded validation cohort of samples collected before the pandemic and from patients with COVID-19 five or more days after a positive nasopharyngeal test by PCR with reverse transcription. The high-throughput serological profiling of patients with COVID-19 allows for the interrogation of interactions between antibody isotypes and viral proteins, and should help us to understand the heterogeneity of clinical presentations. Nature Publishing Group UK 2020-09-18 2020 /pmc/articles/PMC7498988/ /pubmed/32948854 http://dx.doi.org/10.1038/s41551-020-00611-x Text en © The Author(s), under exclusive licence to Springer Nature Limited 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Norman, Maia
Gilboa, Tal
Ogata, Alana F.
Maley, Adam M.
Cohen, Limor
Busch, Evan L.
Lazarovits, Roey
Mao, Chih-Ping
Cai, Yongfei
Zhang, Jun
Feldman, Jared E.
Hauser, Blake M.
Caradonna, Timothy M.
Chen, Bing
Schmidt, Aaron G.
Alter, Galit
Charles, Richelle C.
Ryan, Edward T.
Walt, David R.
Ultrasensitive high-resolution profiling of early seroconversion in patients with COVID-19
title Ultrasensitive high-resolution profiling of early seroconversion in patients with COVID-19
title_full Ultrasensitive high-resolution profiling of early seroconversion in patients with COVID-19
title_fullStr Ultrasensitive high-resolution profiling of early seroconversion in patients with COVID-19
title_full_unstemmed Ultrasensitive high-resolution profiling of early seroconversion in patients with COVID-19
title_short Ultrasensitive high-resolution profiling of early seroconversion in patients with COVID-19
title_sort ultrasensitive high-resolution profiling of early seroconversion in patients with covid-19
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7498988/
https://www.ncbi.nlm.nih.gov/pubmed/32948854
http://dx.doi.org/10.1038/s41551-020-00611-x
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