A Serology Strategy for Epidemiological Studies Based on the Comparison of the Performance of Seven Different Test Systems - The Representative COVID-19 Cohort Munich

Olbrich L, Castelletti N, Schälte Y, Garí M, Pütz P, Bakuli A, Pritsch M, Kroidl I, Saathoff E, Noller JMG, Fingerle V, et al. (2021)
bioRxiv.

Preprint | Veröffentlicht | Englisch
 
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Autor*in
Olbrich, Laura; Castelletti, Noemi; Schälte, Yannik; Garí, Mercè; Pütz, PeterUniBi; Bakuli, Abhishek; Pritsch, Michael; Kroidl, Inge; Saathoff, Elmar; Noller, Jessica Michelle Guggenbuehl; Fingerle, Volker; Le Gleut, Ronan
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Abstract / Bemerkung
Background - Serosurveys are essential to understand SARS-CoV-2 exposure and enable population-level surveillance, but currently available tests need further in-depth evaluation. We aimed to identify testing-strategies by comparing seven seroassays in a population-based cohort.
Methods - We analysed 6,658 samples consisting of true-positives (n=193), true-negatives (n=1,091), and specimens of unknown status (n=5,374). For primary testing, we used Euroimmun-Anti-SARS-CoV-2-ELISA-IgA/IgG and Roche-Elecsys-Anti-SARS-CoV-2; and virus-neutralisation, GeneScript®cPass™, VIRAMED-SARS-CoV-2-ViraChip®, and Mikrogen- recom Line-SARS-CoV-2-IgG, including common-cold CoVs, for confirmatory testing. Statistical modelling generated optimised assay cut-off-thresholds.
Findings - Sensitivity of Euroimmun-anti-S1-IgA was 64.8%, specificity 93.3%; for Euroimmun-anti-S1-IgG, sensitivity was 77.2/79.8% (manufacturer’s/optimised cut-offs), specificity 98.0/97.8%; Roche-anti-N sensitivity was 85.5/88.6%, specificity 99.8/99.7%. In true-positives, mean and median titres remained stable for at least 90-120 days after RT-PCR-positivity. Of true-positives with positive RT-PCR (<30 days), 6.7% did not mount detectable seroresponses. Virus-neutralisation was 73.8% sensitive, 100.0% specific (1:10 dilution). Neutralisation surrogate tests (GeneScript®cPass™, Mikrogen- recom Line-RBD) were >94.9% sensitive, >98.1% specific. Seasonality had limited effects; cross-reactivity with common-cold CoVs 229E and NL63 in SARS-CoV-2 true-positives was significant.
Conclusion - Optimised cut-offs improved test performances of several tests. Non-reactive serology in true-positives was uncommon. For epidemiological purposes, confirmatory testing with virus-neutralisation may be replaced with GeneScript®cPass™ or recom Line-RBD. Head-to-head comparisons given here aim to contribute to the refinement of testing-strategies for individual and public health use.
Erscheinungsjahr
2021
Zeitschriftentitel
bioRxiv
Page URI
https://pub.uni-bielefeld.de/record/2951202

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Olbrich L, Castelletti N, Schälte Y, et al. A Serology Strategy for Epidemiological Studies Based on the Comparison of the Performance of Seven Different Test Systems - The Representative COVID-19 Cohort Munich. bioRxiv. 2021.
Olbrich, L., Castelletti, N., Schälte, Y., Garí, M., Pütz, P., Bakuli, A., Pritsch, M., et al. (2021). A Serology Strategy for Epidemiological Studies Based on the Comparison of the Performance of Seven Different Test Systems - The Representative COVID-19 Cohort Munich. bioRxiv. https://doi.org/10.1101/2021.01.13.21249735
Olbrich, Laura, Castelletti, Noemi, Schälte, Yannik, Garí, Mercè, Pütz, Peter, Bakuli, Abhishek, Pritsch, Michael, et al. 2021. “A Serology Strategy for Epidemiological Studies Based on the Comparison of the Performance of Seven Different Test Systems - The Representative COVID-19 Cohort Munich”. bioRxiv.
Olbrich, L., Castelletti, N., Schälte, Y., Garí, M., Pütz, P., Bakuli, A., Pritsch, M., Kroidl, I., Saathoff, E., Noller, J. M. G., et al. (2021). A Serology Strategy for Epidemiological Studies Based on the Comparison of the Performance of Seven Different Test Systems - The Representative COVID-19 Cohort Munich. bioRxiv.
Olbrich, L., et al., 2021. A Serology Strategy for Epidemiological Studies Based on the Comparison of the Performance of Seven Different Test Systems - The Representative COVID-19 Cohort Munich. bioRxiv.
L. Olbrich, et al., “A Serology Strategy for Epidemiological Studies Based on the Comparison of the Performance of Seven Different Test Systems - The Representative COVID-19 Cohort Munich”, bioRxiv, 2021.
Olbrich, L., Castelletti, N., Schälte, Y., Garí, M., Pütz, P., Bakuli, A., Pritsch, M., Kroidl, I., Saathoff, E., Noller, J.M.G., Fingerle, V., Le Gleut, R., Gilberg, L., Brand, I., Falk, P., Markgraf, A., Deák, F., Riess, F., Diefenbach, M., Eser, T., Weinauer, F., Martin, S., Quenzel, E.-M., Becker, M., Durner, J., Girl, P., Müller, K., Radon, K., Fuchs, C., Wölfel, R., Hasenauer, J., Hoelscher, M., Wieser, A.: A Serology Strategy for Epidemiological Studies Based on the Comparison of the Performance of Seven Different Test Systems - The Representative COVID-19 Cohort Munich. bioRxiv. (2021).
Olbrich, Laura, Castelletti, Noemi, Schälte, Yannik, Garí, Mercè, Pütz, Peter, Bakuli, Abhishek, Pritsch, Michael, Kroidl, Inge, Saathoff, Elmar, Noller, Jessica Michelle Guggenbuehl, Fingerle, Volker, Le Gleut, Ronan, Gilberg, Leonard, Brand, Isabel, Falk, Philine, Markgraf, Alisa, Deák, Flora, Riess, Friedrich, Diefenbach, Max, Eser, Tabea, Weinauer, Franz, Martin, Silke, Quenzel, Ernst-Markus, Becker, Marc, Durner, Jürgen, Girl, Philipp, Müller, Katharina, Radon, Katja, Fuchs, Christiane, Wölfel, Roman, Hasenauer, Jan, Hoelscher, Michael, and Wieser, Andreas. “A Serology Strategy for Epidemiological Studies Based on the Comparison of the Performance of Seven Different Test Systems - The Representative COVID-19 Cohort Munich”. bioRxiv (2021).
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Preprint: 10.1101/2021.01.13.21249735

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