| Literature DB >> 36093434 |
Francesca Dapporto1, Serena Marchi2, Margherita Leonardi3, Pietro Piu1, Piero Lovreglio4, Nicola Decaro5, Nicola Buonvino6, Angela Stufano4, Eleonora Lorusso5, Emilio Bombardieri7, Antonella Ruello7, Simonetta Viviani2, Eleonora Molesti3, Claudia Maria Trombetta2, Alessandro Manenti1, Emanuele Montomoli1,2,3.
Abstract
Background: The recently emerged SARS-CoV-2 Omicron variant exhibits several mutations on the spike protein, enabling it to escape the immunity elicited by natural infection or vaccines. Avidity is the strength of binding between an antibody and its specific epitope. The SARS-CoV-2 spike protein binds to its cellular receptor with high affinity and is the primary target of neutralizing antibodies. Therefore, protective antibodies should show high avidity. This study aimed at investigating the avidity of receptor-binding domain (RBD) binding antibodies and their neutralizing activity against the Omicron variant in SARS-CoV-2 infected patients and vaccinees.Entities:
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Year: 2022 PMID: 36093434 PMCID: PMC9453088 DOI: 10.1155/2022/4813199
Source DB: PubMed Journal: J Immunol Res ISSN: 2314-7156 Impact factor: 4.493
Figure 1RBD binding IgG titers (a), RBD binding IgG antibody avidity (b), and neutralizing antibody titers (c) to SARS-CoV-2 wt virus in SARS-CoV-2 infected patients by time after hospital admission. RBD binding IgG titers which exceeded the last dilution (>51200) were plotted as 51200 titers. The antibody avidity was expressed as avidity index (AI). Tukey boxplots show outlier values (dots), medians (middle line), and third and first quartiles (boxes), while the whiskers display the minimum and maximum values. Horizontal dashed line represents the lower limit of quantification (LLOQ) of ELISA and microneutralization (MN) assay and AI range (low, intermediate, and high). Statistically significant differences were analyzed by Kruskal-Wallis and Dunn's multiple comparisons test (p < 0.05).
Figure 2RBD binding IgG antibody avidity and neutralizing antibody titers to SARS-CoV-2 in SARS-CoV-2 infected patients and vaccinated cohorts: (a) RBD binding IgG antibody titers against wt virus; (b) RBD binding IgG antibody avidity against wt virus; (c) neutralizing antibody titers against wt virus; (d) RBD binding IgG antibody titers against Omicron variant; (e) anti-RBD IgG antibody avidity against Omicron variant; and (f) neutralizing antibody titers against Omicron variant. The antibody avidity was expressed as avidity index (AI). Tukey boxplots show outlier values (dots), medians (middle line), and third and first quartiles (boxes), while the whiskers display the minimum and maximum values. Horizontal dashed line represents the lower limit of quantification (LLOQ) of microneutralization (MN) assay and AI range (low, intermediate, and high). Statistically significant differences were analyzed by Kruskal-Wallis and Dunn's multiple comparisons test (p < 0.05).
Figure 3Multiple regression model of antibody avidity and neutralizing antibody titres. Microneutralization (MN) titers are expressed as log2 of the normalized data. Antibody avidity results are expressed as normalized data of avidity index (AI). Regression of MN titers on AI with the virus strain as the dummy variable, Omicron variant (a), and wt virus (b) proved significant for both strains. The number of vaccine doses was included in the regression analysis as a variable: 2 vaccine doses in the top panels, 3 doses in the bottom panels of the Omicron variant (c) and wt virus (d).