| Literature DB >> 33608538 |
Matthias Becker1, Monika Strengert2,3, Ulrich Rothbauer1,4, Daniel Junker1, Philipp D Kaiser1, Tobias Kerrinnes5, Bjoern Traenkle1,4, Heiko Dinter1,4, Julia Häring1, Stéphane Ghozzi2, Anne Zeck1, Frank Weise1, Andreas Peter6,7,8, Sebastian Hörber6,7,8, Simon Fink1, Felix Ruoff1, Alex Dulovic1, Tamam Bakchoul9, Armin Baillot10, Stefan Lohse11, Markus Cornberg12, Thomas Illig13, Jens Gottlieb14,15, Sigrun Smola11, André Karch16, Klaus Berger16, Hans-Georg Rammensee17,18,19, Katja Schenke-Layland1,19,20,21, Annika Nelde17,19,22, Melanie Märklin19,21, Jonas S Heitmann19,21, Juliane S Walz17,19,22,23, Markus Templin1, Thomas O Joos1, Gérard Krause2,3, Nicole Schneiderhan-Marra24.
Abstract
The humoral immune response to SARS-CoV-2 is a benchmark for immunity and detailed analysis is required to understand the manifestation and progression of COVID-19, monitor seroconversion within the general population, and support vaccine development. The majority of currently available commercial serological assays only quantify the SARS-CoV-2 antibody response against individual antigens, limiting our understanding of the immune response. To overcome this, we have developed a multiplex immunoassay (MultiCoV-Ab) including spike and nucleocapsid proteins of SARS-CoV-2 and the endemic human coronaviruses. Compared to three broadly used commercial in vitro diagnostic tests, our MultiCoV-Ab achieves a higher sensitivity and specificity when analyzing a well-characterized sample set of SARS-CoV-2 infected and uninfected individuals. We find a high response against endemic coronaviruses in our sample set, but no consistent cross-reactive IgG response patterns against SARS-CoV-2. Here we show a robust, high-content-enabled, antigen-saving multiplex assay suited to both monitoring vaccination studies and facilitating epidemiologic screenings for humoral immunity towards pandemic and endemic coronaviruses.Entities:
Year: 2021 PMID: 33608538 DOI: 10.1038/s41467-021-20973-3
Source DB: PubMed Journal: Nat Commun ISSN: 2041-1723 Impact factor: 14.919