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                <text>Coronavirus</text>
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                <text>Dominio científico: Coronavirus</text>
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              <text>Analysis of IgM, IgA, and IgG isotype antibodies Directed against SARS-CoV-2 spike glycoprotein and ORF8 in the course of COVID-19</text>
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              <text>Denise Meinberger, Manuel Koch, Annika Roth, Gabriele Hermes, Jannik Stemler, Oliver A. Cornely, Thomas Streichert, Andreas R. Klatt</text>
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              <text>Abstract Immunoassays are a standard diagnostic tool that assesses immunity in severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) infection. However, immunoassays do not provide information about contaminating antigens or cross-reactions and might exhibit inaccurately high sensitivity and low specificity. We aimed to gain insight into the serological immune response of SARS-CoV-2 patients by immunoblot analysis. We analyzed serum immunoglobulins IgM, -A, and -G directed against SARS-CoV-2 proteins by immunoblot analysis from 12 infected patients. We determined IgG isotype antibodies by commercially available ELISA and assessed the clinical parameters of inflammation status and kidney and liver injury. Unexpectedly, we found no correlation between the presence of antibodies and the future course of the disease. However, attention should be paid to the parameters CRP, IL-6, and LDH. We found evidence of antibody cross-reactivity, which questions the reliability of results for serum samples that tested negative for anti-SARS-CoV-2 antibodies when assessed by immunoassays. Nevertheless, for the detection of IgG anti-SARS-CoV-2 antibodies, our data suggest that the use of the spike glycoprotein in immunoassays should be sufficient to identify positive patients. Using a combination of the spike glycoprotein and the open reading frame 8 protein could prove to be the best way of detecting anti-SARS-CoV-2 IgM antibodies.</text>
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              <text>2021</text>
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              <text>10.1038/s41598-021-88356-8</text>
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              <text>Epidemiology and Health</text>
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              <text>Korean Society of Epidemiology</text>
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          <name>Coverage</name>
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              <text>Science, Medicine</text>
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