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Automated antigen assays display a high heterogeneity for the detection of SARS-CoV-2 variants of concern, including several Omicron sublineages

Diagnostic tests for direct pathogen detection have been instrumental to contain the severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) pandemic. Automated, quantitative, laboratory-based nucleocapsid antigen (Ag) tests for SARS-CoV-2 have been launched alongside nucleic acid-based te...

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Autores principales: Osterman, Andreas, Krenn, Franziska, Iglhaut, Maximilian, Badell, Irina, Lehner, Andreas, Späth, Patricia M., Stern, Marcel, Both, Hanna, Bender, Sabine, Muenchhoff, Maximilian, Graf, Alexander, Krebs, Stefan, Blum, Helmut, Grimmer, Timo, Durner, Jürgen, Czibere, Ludwig, Dächert, Christopher, Grzimek-Koschewa, Natascha, Protzer, Ulrike, Kaderali, Lars, Baldauf, Hanna-Mari, Keppler, Oliver T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501957/
https://www.ncbi.nlm.nih.gov/pubmed/37561226
http://dx.doi.org/10.1007/s00430-023-00774-9
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author Osterman, Andreas
Krenn, Franziska
Iglhaut, Maximilian
Badell, Irina
Lehner, Andreas
Späth, Patricia M.
Stern, Marcel
Both, Hanna
Bender, Sabine
Muenchhoff, Maximilian
Graf, Alexander
Krebs, Stefan
Blum, Helmut
Grimmer, Timo
Durner, Jürgen
Czibere, Ludwig
Dächert, Christopher
Grzimek-Koschewa, Natascha
Protzer, Ulrike
Kaderali, Lars
Baldauf, Hanna-Mari
Keppler, Oliver T.
author_facet Osterman, Andreas
Krenn, Franziska
Iglhaut, Maximilian
Badell, Irina
Lehner, Andreas
Späth, Patricia M.
Stern, Marcel
Both, Hanna
Bender, Sabine
Muenchhoff, Maximilian
Graf, Alexander
Krebs, Stefan
Blum, Helmut
Grimmer, Timo
Durner, Jürgen
Czibere, Ludwig
Dächert, Christopher
Grzimek-Koschewa, Natascha
Protzer, Ulrike
Kaderali, Lars
Baldauf, Hanna-Mari
Keppler, Oliver T.
author_sort Osterman, Andreas
collection PubMed
description Diagnostic tests for direct pathogen detection have been instrumental to contain the severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) pandemic. Automated, quantitative, laboratory-based nucleocapsid antigen (Ag) tests for SARS-CoV-2 have been launched alongside nucleic acid-based test systems and point-of-care (POC) lateral-flow Ag tests. Here, we evaluated four commercial Ag tests on automated platforms for the detection of different sublineages of the SARS-CoV-2 Omicron variant of concern (VoC) (B.1.1.529) in comparison with “non-Omicron” VoCs. A total of 203 Omicron PCR-positive respiratory swabs (53 BA.1, 48 BA.2, 23 BQ.1, 39 XBB.1.5 and 40 other subvariants) from the period February to March 2022 and from March 2023 were examined. In addition, tissue culture-expanded clinical isolates of Delta (B.1.617.2), Omicron-BA.1, -BF.7, -BN.1 and -BQ.1 were studied. These results were compared to previously reported data from 107 clinical “non-Omicron” samples from the end of the second pandemic wave (February to March 2021) as well as cell culture-derived samples of wildtype (wt) EU-1 (B.1.177), Alpha VoC (B.1.1.7) and Beta VoC (B.1.351)). All four commercial Ag tests were able to detect at least 90.9% of Omicron-containing samples with high viral loads (Ct < 25). The rates of true-positive test results for BA.1/BA.2-positive samples with intermediate viral loads (Ct 25–30) ranged between 6.7% and 100.0%, while they dropped to 0 to 15.4% for samples with low Ct values (> 30). This heterogeneity was reflected also by the tests’ 50%-limit of detection (LoD50) values ranging from 44,444 to 1,866,900 Geq/ml. Respiratory samples containing Omicron-BQ.1/XBB.1.5 or other Omicron subvariants that emerged in 2023 were detected with enormous heterogeneity (0 to 100%) for the intermediate and low viral load ranges with LoD50 values between 23,019 and 1,152,048 Geq/ml. In contrast, detection of “non-Omicron” samples was more sensitive, scoring positive in 35 to 100% for the intermediate and 1.3 to 32.9% of cases for the low viral loads, respectively, corresponding to LoD50 values ranging from 6181 to 749,792 Geq/ml. All four assays detected cell culture-expanded VoCs Alpha, Beta, Delta and Omicron subvariants carrying up to six amino acid mutations in the nucleocapsid protein with sensitivities comparable to the non-VoC EU-1. Overall, automated quantitative SARS-CoV-2 Ag assays are not more sensitive than standard rapid antigen tests used in POC settings and show a high heterogeneity in performance for VoC recognition. The best of these automated Ag tests may have the potential to complement nucleic acid-based assays for SARS-CoV-2 diagnostics in settings not primarily focused on the protection of vulnerable groups. In light of the constant emergence of new Omicron subvariants and recombinants, most recently the XBB lineage, these tests’ performance must be regularly re-evaluated, especially when new VoCs carry mutations in the nucleocapsid protein or immunological and clinical parameters change.
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spelling pubmed-105019572023-09-16 Automated antigen assays display a high heterogeneity for the detection of SARS-CoV-2 variants of concern, including several Omicron sublineages Osterman, Andreas Krenn, Franziska Iglhaut, Maximilian Badell, Irina Lehner, Andreas Späth, Patricia M. Stern, Marcel Both, Hanna Bender, Sabine Muenchhoff, Maximilian Graf, Alexander Krebs, Stefan Blum, Helmut Grimmer, Timo Durner, Jürgen Czibere, Ludwig Dächert, Christopher Grzimek-Koschewa, Natascha Protzer, Ulrike Kaderali, Lars Baldauf, Hanna-Mari Keppler, Oliver T. Med Microbiol Immunol Original Investigation Diagnostic tests for direct pathogen detection have been instrumental to contain the severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) pandemic. Automated, quantitative, laboratory-based nucleocapsid antigen (Ag) tests for SARS-CoV-2 have been launched alongside nucleic acid-based test systems and point-of-care (POC) lateral-flow Ag tests. Here, we evaluated four commercial Ag tests on automated platforms for the detection of different sublineages of the SARS-CoV-2 Omicron variant of concern (VoC) (B.1.1.529) in comparison with “non-Omicron” VoCs. A total of 203 Omicron PCR-positive respiratory swabs (53 BA.1, 48 BA.2, 23 BQ.1, 39 XBB.1.5 and 40 other subvariants) from the period February to March 2022 and from March 2023 were examined. In addition, tissue culture-expanded clinical isolates of Delta (B.1.617.2), Omicron-BA.1, -BF.7, -BN.1 and -BQ.1 were studied. These results were compared to previously reported data from 107 clinical “non-Omicron” samples from the end of the second pandemic wave (February to March 2021) as well as cell culture-derived samples of wildtype (wt) EU-1 (B.1.177), Alpha VoC (B.1.1.7) and Beta VoC (B.1.351)). All four commercial Ag tests were able to detect at least 90.9% of Omicron-containing samples with high viral loads (Ct < 25). The rates of true-positive test results for BA.1/BA.2-positive samples with intermediate viral loads (Ct 25–30) ranged between 6.7% and 100.0%, while they dropped to 0 to 15.4% for samples with low Ct values (> 30). This heterogeneity was reflected also by the tests’ 50%-limit of detection (LoD50) values ranging from 44,444 to 1,866,900 Geq/ml. Respiratory samples containing Omicron-BQ.1/XBB.1.5 or other Omicron subvariants that emerged in 2023 were detected with enormous heterogeneity (0 to 100%) for the intermediate and low viral load ranges with LoD50 values between 23,019 and 1,152,048 Geq/ml. In contrast, detection of “non-Omicron” samples was more sensitive, scoring positive in 35 to 100% for the intermediate and 1.3 to 32.9% of cases for the low viral loads, respectively, corresponding to LoD50 values ranging from 6181 to 749,792 Geq/ml. All four assays detected cell culture-expanded VoCs Alpha, Beta, Delta and Omicron subvariants carrying up to six amino acid mutations in the nucleocapsid protein with sensitivities comparable to the non-VoC EU-1. Overall, automated quantitative SARS-CoV-2 Ag assays are not more sensitive than standard rapid antigen tests used in POC settings and show a high heterogeneity in performance for VoC recognition. The best of these automated Ag tests may have the potential to complement nucleic acid-based assays for SARS-CoV-2 diagnostics in settings not primarily focused on the protection of vulnerable groups. In light of the constant emergence of new Omicron subvariants and recombinants, most recently the XBB lineage, these tests’ performance must be regularly re-evaluated, especially when new VoCs carry mutations in the nucleocapsid protein or immunological and clinical parameters change. Springer Berlin Heidelberg 2023-08-10 2023 /pmc/articles/PMC10501957/ /pubmed/37561226 http://dx.doi.org/10.1007/s00430-023-00774-9 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Investigation
Osterman, Andreas
Krenn, Franziska
Iglhaut, Maximilian
Badell, Irina
Lehner, Andreas
Späth, Patricia M.
Stern, Marcel
Both, Hanna
Bender, Sabine
Muenchhoff, Maximilian
Graf, Alexander
Krebs, Stefan
Blum, Helmut
Grimmer, Timo
Durner, Jürgen
Czibere, Ludwig
Dächert, Christopher
Grzimek-Koschewa, Natascha
Protzer, Ulrike
Kaderali, Lars
Baldauf, Hanna-Mari
Keppler, Oliver T.
Automated antigen assays display a high heterogeneity for the detection of SARS-CoV-2 variants of concern, including several Omicron sublineages
title Automated antigen assays display a high heterogeneity for the detection of SARS-CoV-2 variants of concern, including several Omicron sublineages
title_full Automated antigen assays display a high heterogeneity for the detection of SARS-CoV-2 variants of concern, including several Omicron sublineages
title_fullStr Automated antigen assays display a high heterogeneity for the detection of SARS-CoV-2 variants of concern, including several Omicron sublineages
title_full_unstemmed Automated antigen assays display a high heterogeneity for the detection of SARS-CoV-2 variants of concern, including several Omicron sublineages
title_short Automated antigen assays display a high heterogeneity for the detection of SARS-CoV-2 variants of concern, including several Omicron sublineages
title_sort automated antigen assays display a high heterogeneity for the detection of sars-cov-2 variants of concern, including several omicron sublineages
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501957/
https://www.ncbi.nlm.nih.gov/pubmed/37561226
http://dx.doi.org/10.1007/s00430-023-00774-9
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