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. 2021 Jul 26;12(1):4598.
doi: 10.1038/s41467-021-24909-9.

Neutralizing activity of Sputnik V vaccine sera against SARS-CoV-2 variants

Affiliations

Neutralizing activity of Sputnik V vaccine sera against SARS-CoV-2 variants

Satoshi Ikegame et al. Nat Commun. .

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has infected at least 180 million people since its identification as the cause of the current COVID-19 pandemic. The rapid pace of vaccine development has resulted in multiple vaccines already in use worldwide. The contemporaneous emergence of SARS-CoV-2 'variants of concern' (VOC) across diverse geographic locales underscores the need to monitor the efficacy of vaccines being administered globally. All WHO designated VOC carry spike (S) polymorphisms thought to enable escape from neutralizing antibodies. Here, we characterize the neutralizing activity of post-Sputnik V vaccination sera against the ensemble of S mutations present in alpha (B.1.1.7) and beta (B.1.351) VOC. Using de novo generated replication-competent vesicular stomatitis virus expressing various SARS-CoV-2-S in place of VSV-G (rcVSV-CoV2-S), coupled with a clonal 293T-ACE2 + TMPRSS2 + cell line optimized for highly efficient S-mediated infection, we determine that only 1 out of 12 post-vaccination serum samples shows effective neutralization (IC90) of rcVSV-CoV2-S: B.1.351 at full serum strength. The same set of sera efficiently neutralize S from B.1.1.7 and exhibit only moderately reduced activity against S carrying the E484K substitution alone. Taken together, our data suggest that control of some emergent SARS-CoV-2 variants may benefit from updated vaccines.

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Conflict of interest statement

B.L., C.S., and K.Y.O. are named inventors on a patent filed by the Icahn School of Medicine, which includes the 293T-ACE2-TMPRSS2 (F8-2) cells used for the virus neutralization assay. J.P.K. is a consultant for BioNTech (advisory panel on coronavirus variants). The remaining authors declare no competing interests.

Figures

Fig. 1
Fig. 1. Replication-competent VSV bearing wild-type and variant SARS-CoV-2 spike (rcVSV-CoV2-S).
a De novo generation of rcVSV-CoV2-S, carrying an EGFP reporter, in transfected 293T-ACE2 + TMPRSS2 (F8-2) cells as described in Supplementary Fig. 1. Single GFP + cells detected at 2–3 days post-transfection (dpt) form foci of syncytia by 4 dpt. Images taken by Celigo imaging cytometer (Nexcelom) and are computational composites from the identical number of fields in each well. White bar equals 1 millimeter. Foci is representative of at least 5 independent rescues. b Entry efficiency of rcVSV-CoV2-S in parental 293T, 293T-ACE2, or 293T-ACE2 + TMPRSS2 cells. Serial dilutions of virus stocks amplified on Vero-TMPRSS2 cells were used to infect the indicated cell lines in 96-well plates in triplicates. GFP + cells were detected and counted by the Celigo imaging cytometer at 10 h post-infection (hpi). Symbols are individual data points from triplicate infections at the indicated dilutions. Bars represent the average of three replicates with error bars indicating standard deviation. Adjusted p-values from a two-way ANOVA with Tukey’s multiple comparisons test are indicated in the graph. c rcVSV-CoV-2-S containing the prevailing WT (D614G) and VOC (B.1.1.7 and B.1.351) spikes were inoculated into one 6-well each of F8-2 cells (MOI 0.1) and subsequently overlaid with methylcellulose-DMEM to monitor syncytia formation. Representative images of syncytial plaques at 48 hpi are shown (out of three replicates per virus per timepoint). White bar equals 1 millimeter. d shows the growth of GFP + area per infectious unit (IU) in the six-well plate. GFP + areas were imaged and measured by the Celigo imaging cytometer at 24, 48, and 72 hpi. IU was checked at 10 hpi in the same well. GFP + area (μm2) at the indicated timepoint was divided by the IU counted at 10 hpi to normalize for input. Bar shows the average of triplicate experiments with error bar indicating standard deviation. Symbols represent individual data points. No statistically significant differences were detected between WT and VOC spikes in the size of GFP + syncytia at any given time point (two-way ANOVA as above, “ns” not indicated in graph). Source data are provided as a Source Data file.
Fig. 2
Fig. 2. Neutralization activity of antibody responses elicited by the Sputnik V vaccine.
a Schematic of the Spike substitutions that make up the variants being evaluated in this study. The amino acid positions and corresponding “Ancestral” sequence of the Wuhan isolate is shown. The prevailing WT sequence now has a D614G substitution. All the variants and mutants have D614G. (b) Neutralization activity of individual serum samples against rcVSV-CoV2-S with the WT (black circles), B.1.1.7 (blue circles), B.1.351 (red circles), or E484K (orange circles) spike proteins. Neutralization is represented by the reciprocal 50% inhibitory dilution factor (1/IC50). Sera samples with no appreciable neutralization against a given virus were assigned a defined 1/IC50 value of 1.0, as values ≤ 1 are not physiological (Gray shaded area). Dashed line indicates the lowest serum dilution tested (1/IC50 = 20). Geometric mean titers (GMT) and 95% CI for the neutralizing activity of all vaccine sera are indicated below each of the viral spike proteins examined. Adjusted p-values are indicated (non-parametric Friedman test with Dunn’s multiple comparisons test). c For each serum sample, the fold-change in IC50 (reciprocal inhibitory dilution factor) against the indicated variant and mutant spike proteins relative to its IC50 against wild-type (WT) spike (set at 1) is plotted. Adjusted p-values were calculated as in b. Medians are represented by the bars and whiskers demarcate the 95% CI. Neutralization dose–response curves were performed in triplicates, and the mean values from each triplicate experiment are shown as the single data points for each sera sample. Source data are provided as a Source Data file.
Fig. 3
Fig. 3. Sputnik vaccine recipients generate qualitatively different neutralizing antibody responses against SARS-CoV-2.
ac Group A (SP001, SP005, SP006, SP012), Group B (SP002, SP007), and Group C (SP003, SP004, SP008, SP010, SP011) represent potentially distinct classes of virus neutralizing activity present in the sera samples analyzed. Full neutralization curves for all sera tested against all viruses bearing the variant and mutant spike proteins are shown. d shows a singular example of a serum that only neutralized the B.1.1.7 spike. Data shown at each serum dilution point are normalized mean+/− standard deviation from triplicate infections. e graphs the serum neutralizing titers (SNT = 1/IC50) and 95% CI extrapolated from the nonlinear regression curves shown in ad (n = 12). Colored filled symbols represent the indicated viruses, open symbols in e represent assigned SNT values of 1.0 when no significant neutralization activity could be detected (SP012: B.1.351 and E484K). The dotted black line represents a reciprocal serum dilution of 1.0. The red dashed line and shaded boundaries represent the geometric mean titer and 95% CI, respectively, for B.1.351 across all samples (n = 12). f The Hill slope values for all the neutralization curves are aggregated according to their groups. The different colored symbols in each group represent the indicated virus tested. The median (central bar) and interquartile range (whiskers) for each group are also shown. p-values (two-tailed) are from a non-parametric Wilcoxon-signed rank test comparing each group to a theoretical median of 1.0 (Group A, n = 16, Group B, n = 8, Group C, n = 20). ** = 0.0065, * = 0.0110, ns = 0.1953. Source data are provided as a Source Data file.
Fig. 4
Fig. 4. Maximal inhibition and slope help to define the distinct classes of neutralizing sera in Sputnik vaccine recipients.
a Paired comparison of Hillslopes from the neutralization curves of all samples except for SP012 where no significant neutralization was observed for viruses other than B.1.1.7. Adjusted p-values are indicated (non-parametric Friedman test with Dunn’s multiple comparisons test, which assumes non-Gaussian distribution of values being analyzed). b Maximal percent inhibition (MPI) at full serum strength extrapolated from nonlinear regression of log(inhibitor) versus normalized response, variable slope curve. Model used is from PRISM v9.1.1 where y=100/1+10(logIC50x)×Hillslope. Log IC50 and Hill slope values were obtained for each curve generated in Fig. 3. MPI = 100 – Y, when X = 0 for reciprocal serum dilution of 1 (100 = 1). Data points for one serum (SP012) against WT, B.1.351 and E484K could not be calculated because there was no best-fit value. The dotted line indicates 90% inhibition. Median (central bar) and interquartile values (whiskers) are indicated. Adjusted p-values was calculated as in a. Black, blue, red, and organe circles represent WT, B.1.1.7, B.1.351, and E484K viruses, respectively. c Correlation analysis of MPI versus the Hill Slope parameter for all sera samples tested against all spike proteins. SP012 was excluded for the abovementioned reasons. Non-parametric Spearman r-values and 95% confidence interval are shown. x-axis is plotted as an asymptotic cumulative probability scale as x approaches 100% (PRISM v9.1.1) only to resolve the many MPI values > 90%. Source data are provided as a Source Data file.
Fig. 5
Fig. 5. Competitive inhibition of rcVSV-CoV2-S entry by soluble RBD-Fc.
a Recombinant RBD-Fc was serially titrated with the infection inoculum containing a fixed amount of rcVSV-CoV2-S bearing WT or the indicated VOC spike proteins. 10 hpi, GFP+ cells were quantified by the Celigo image cytometer. Data points are means of six replicates with error bars representing standard deviation. The number of GFP+ cells in the absence of any RBD-Fc was set to 100% and used to normalize the infection response in the presence of increasing amounts of RBD-Fc. Log[inhibitor] versus normalized response variable slope nonlinear regression curves were generated using GraphPad PRISM (v9.1.0). b The IC50 values from each replicate dose–response curve generated for a given virus were grouped. The mean (central bar) and standard deviation (whiskers) for each group are indicated. Adjusted p-values are indicated (ordinary one-way ANOVA with Dunnett’s multiple comparisons test are indicated). c is a repeat of the experiment done in a with the E484K mutant using a different preparation of recombinant RBD-Fc (see methods). B.1.1.7 serves as the common reference control. Data points are means of six replicates with error bars representing standard deviation. d The IC50 values were calculated as in b. The mean (central bar) and standard deviation (whiskers) for each group are indicated. Two-tailed p-value (0.0019) from an unpaired t-test is shown. Source data are provided as a Source Data file.

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