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. 2022 May 11:13:833085.
doi: 10.3389/fimmu.2022.833085. eCollection 2022.

Humoral Immune Response Diversity to Different COVID-19 Vaccines: Implications for the "Green Pass" Policy

Affiliations

Humoral Immune Response Diversity to Different COVID-19 Vaccines: Implications for the "Green Pass" Policy

Immacolata Polvere et al. Front Immunol. .

Abstract

In the COVID-19 pandemic year 2021, several countries have implemented a vaccine certificate policy, the "Green Pass Policy" (GPP), to reduce virus spread and to allow safe relaxation of COVID-19 restrictions and reopening of social and economic activities. The rationale for the GPP is based on the assumption that vaccinated people should maintain a certain degree of immunity to SARS-CoV-2. Here we describe and compare, for the first time, the humoral immune response to mRNA-1273, BNT162b2, Ad26.COV2.S, and ChAdOx1 nCoV-19 vaccines in terms of antibody titer elicited, neutralizing activity, and epitope reactogenicity among 369 individuals aged 19 to 94 years. In parallel, we also considered the use of a rapid test for the determination of neutralizing antibodies as a tool to guide policymakers in defining booster vaccination strategies and eligibility for Green Pass. Our analysis demonstrates that the titer of antibodies directed towards the receptor-binding domain (RBD) of SARS-CoV-2 Spike is significantly associated with age and vaccine type. Moreover, natural COVID-19 infection combined with vaccination results, on average, in higher antibody titer and higher neutralizing activity as compared to fully vaccinated individuals without prior COVID-19. We also found that levels of anti-Spike RBD antibodies are not always strictly associated with the extent of inhibition of RBD-ACE2 binding, as we could observe different neutralizing activities in sera with similar anti-RBD concentrations. Finally, we evaluated the reactivity to four synthetic peptides derived from Spike protein on a randomly selected serum sample and observed that similar to SARS-CoV-2 infection, vaccination elicits a heterogeneous antibody response with qualitative individual features. On the basis of our results, the use of rapid devices to detect the presence of neutralizing antibodies, even on a large scale and repeatedly over time, appears helpful in determining the duration of the humoral protection elicited by vaccination. These aspects and their implications for the GPP are discussed.

Keywords: Green Pass Policy; SARS-CoV-2; anti-RBD antibody titer; humoral immune response; neutralizing antibodies; vaccine.

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Conflict of interest statement

Authors SV, SD’A, and RV are employed by the spin-off Genus Biotech srl. Authors TZ and LZ were employed by the spin-off Genus Biotech srl. Authors AP and GC are employed by the company Tecno Bios srl. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
(A) Electrochemiluminescence immunoassay (ECLIA)-based determination of the titer of specific antibodies towards the receptor-binding domain (RBD) of SARS-CoV-2 Spike expressed as median UI/ml ± IQR and represented on log10 scale, evaluated in serum from 369 individuals who received different vaccination. Statistically significant variations of medians were assessed by Kruskal–Wallis method for non-parametric data (p < 0.0001), followed by Dunn’s multiple comparisons test. (B) Distribution of serum anti-RBD antibody titers according to age among the study population and (C) within each vaccination group. Spearman’s correlation r and p-values have been calculated for each group (statistical significance for p < 0.05). Trendline is represented in red.
Figure 2
Figure 2
Spearman’s correlation analysis of serum anti-receptor-binding domain (anti-RBD) antibody titers and neutralizing activity in 70 participants in the study (22 vaccinated with BNT162b2, 9 with mRNA-1273, 27 with ChAdOx1 nCov19, 9 with Ad26.COV2.S, 1 COVID-19 convalescent, and 2 with mixed vaccines). (A) Correlation plot of anti-RBD antibody titers versus neutralizing activity (percentage inhibition of RBD-ACE2 binding) assessed through the cPass™ ELISA-based assay. (B) Correlation plot of anti-RBD antibody titers versus neutralizing activity assessed through IgG/Neutralizing Antibody Rapid Test. (C) Correlation plot of neutralizing activity evaluated through cPass™ ELISA-based assay and IgG/Neutralizing Antibody Rapid Test cassettes. Trendlines, Spearman’s r, and p-values are also represented (statistical significance for p < 0.05).
Figure 3
Figure 3
Neutralizing activity evaluated by cPass™ ELISA-based SARS-CoV-2 Neutralization Antibody Detection Kit in 70 sera from differently vaccinated individuals. Serum samples were considered positive when ≥30% inhibition was measured, as shown by the red line in the graph. (A) Percentage inhibition of receptor-binding domain–angiotensin-converting enzyme 2 (RBD-ACE2) binding within different vaccination groups (see also Table 3 ). Statistical significance was assessed by ANOVA following Tukey’s multiple comparisons test, **p < 0.005, *p < 0.05. (B) Comparison of neutralizing activity in sera from individuals who received adenoviral DNA-based vaccines and mRNA-based vaccines. Statistical significance was assessed by unpaired t-test, *p = 0.0016.
Figure 4
Figure 4
(A) Correlation of anti-receptor-binding domain (anti-RBD) antibody titer to rapid test scores for IgG/Neutralizing antibodies in sera from 180 participants in the study and within each vaccination group: (B) BNT162b2, (C) ChAdOx1 nCov19, (D) Ad26.COV2.S, (E) mRNA-1273, (F) COVID19 + vaccine, and (G) others. Trendlines, Spearman’s r, and p-values are also reported (statistical significance for p < 0.05).
Figure 5
Figure 5
(A) Distribution of anti-receptor-binding domain (anti-RBD) antibody titers in AbNeu-positive and AbNeu-negative sera from 180 participants in the study and within each vaccination group: (B) BNT162b2, (C) ChAdOx1 nCov19, (D) Ad26.COV2.S, (E) mRNA-1273, (F) COVID19 + vaccine, and (G) others. Data are represented as scatter plot with median UI/ml ± IQR on log10 scale. Mann–Whitney test was performed to assess statistical significance of differences between medians (see Table 5 ). **p-value <0.0001; *p-value <0.01; ns, not specific.

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