Massimo Pieri1,2, Maria Infantino3, Mariangela Manfredi3, Marzia Nuccetelli2, Valentina Grossi3, Barbara Lari3, Flaminia Tomassetti1, Serena Sarubbi1, Edda Russo4, Amedeo Amedei4, Maurizio Benucci5, Patrizia Casprini6, Lorenzo Stacchini7, Concetta Castilletti8, Sergio Bernardini1,2,9. 1. Department of Experimental Medicine, University of Tor Vergata, 00133 Rome, Italy. 2. Department of Laboratory Medicine, Tor Vergata University Hospital, 00133 Rome, Italy. 3. Immunology and Allergology Laboratory Unit, S. Giovanni di Dio Hospital, 50143 Florence, Italy. 4. Department of Experimental and Clinical Medicine, University of Florence, 50121 Florence, Italy. 5. Rheumatology Unit, S. Giovanni di Dio Hospital, 50143 Florence, Italy. 6. Clinical Pathology Laboratory Unit, S. Giovanni di Dio Hospital, 50143 Florence, Italy. 7. Department of Health Science, University of Florence, 50121 Florence, Italy. 8. Laboratory of Virology, National Institute for Infectious Diseases Lazzaro Spallanzani, IRCCS, 00149 Rome, Italy. 9. Emerging Technologies Division, International Federation Clinical Chemistry and Laboratory Medicine, 20159 Milan, Italy.
Abstract
BACKGROUND: Several commercial surrogate Virus Neutralization Tests (sVNTs) have been developed in the last year. Neutralizing anti-SARS-CoV-2 antibodies through interaction with Spike protein Receptor Binding Domain (S-RBD) can block the virus from entering and infecting host cells. However, there is a lack of information about the functional activity of SARS-CoV-2 antibodies that may be associated with protective responses. For these reasons, to counteract viral infection, the conventional virus neutralization test (VNT) is still considered the gold standard. The aim of this study was to contribute more and detailed information about sVNTs' performance, by determining in vitro the anti-SARS-CoV-2 neutralizing antibody concentration using four different commercial assays and then comparing the obtained data to VNT. METHODS: Eighty-eight samples were tested using two chemiluminescence assays (Snibe and Mindray) and two ELISA assays (Euroimmun and Diesse). The antibody titers were subsequently detected and quantified by VNT. RESULTS: The overall agreement between each sVNT and VNT was 95.45% for Euroimmun and 98.86% for Diesse, Mindray and Snibe. Additionally, we investigated whether the sVNTs were closer to the gold standard than traditional anti-SARS-CoV-2 antibody assays S-RBD or S1 based, finding a higher agreement mean value for sVNTs (98.01 ± 1.705% vs 95.45 ± 1.921%; p < 0.05). Furthermore, Spearman's statistical analysis for the correlation of sVNT versus VNT showed r = 0.666 for Mindray; r = 0.696 for Diesse; r = 0.779 for Mindray and r = 0.810 for Euroimmun. CONCLUSIONS: Our data revealed a good agreement between VNT and sVNTs. Despite the VNT still remains the gold standard, the sVNT might be a valuable tool for screening wider populations.
BACKGROUND: Several commercial surrogate Virus Neutralization Tests (sVNTs) have been developed in the last year. Neutralizing anti-SARS-CoV-2 antibodies through interaction with Spike protein Receptor Binding Domain (S-RBD) can block the virus from entering and infecting host cells. However, there is a lack of information about the functional activity of SARS-CoV-2 antibodies that may be associated with protective responses. For these reasons, to counteract viral infection, the conventional virus neutralization test (VNT) is still considered the gold standard. The aim of this study was to contribute more and detailed information about sVNTs' performance, by determining in vitro the anti-SARS-CoV-2 neutralizing antibody concentration using four different commercial assays and then comparing the obtained data to VNT. METHODS: Eighty-eight samples were tested using two chemiluminescence assays (Snibe and Mindray) and two ELISA assays (Euroimmun and Diesse). The antibody titers were subsequently detected and quantified by VNT. RESULTS: The overall agreement between each sVNT and VNT was 95.45% for Euroimmun and 98.86% for Diesse, Mindray and Snibe. Additionally, we investigated whether the sVNTs were closer to the gold standard than traditional anti-SARS-CoV-2 antibody assays S-RBD or S1 based, finding a higher agreement mean value for sVNTs (98.01 ± 1.705% vs 95.45 ± 1.921%; p < 0.05). Furthermore, Spearman's statistical analysis for the correlation of sVNT versus VNT showed r = 0.666 for Mindray; r = 0.696 for Diesse; r = 0.779 for Mindray and r = 0.810 for Euroimmun. CONCLUSIONS: Our data revealed a good agreement between VNT and sVNTs. Despite the VNT still remains the gold standard, the sVNT might be a valuable tool for screening wider populations.