Dear Editor,
The ongoing coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has lasted for more than four years, resulting in an unprecedented global public health crisis. Progress in halting this pandemic seems slow due to the emergence of variants of concern, such as the B.1.1.7 (Alpha), B.1.351 (Beta), P.1 (Gamma, also known as B.1.1.28.1), B.1.617.2 (Delta), and B.1.1.529 (Omicron), that appear to be high transmissible and more resistant to neutralizing antibodies (
Wang et al., 2021g). New variants are thought to be responsible for re-infections (
Hacisuleyman et al., 2021). A general decrease in immune protection against SARS-CoV-2 variants within 6–12 months after the primary infection or vaccination is also observed (
Widge et al., 2021). However, not much is known about the immunogenic features of such a booster dose of a COVID-19 vaccine. In addition, there are large gaps in our understanding ofcorrelating immunogenic findings from surrogate endpoints to gauge vaccine efficacy.
The CoronaVac, a 3-dose β-propiolactone-inactivated vaccine against COVID-19, has been approved for emergency use by the World Health Organization (
Gao et al., 2020). To evaluate immune features, we recruited 22 COVID-19 convalescents, 6 healthy participants (SARS-CoV-2 negative, confirmed by RT-PCR), and 38 volunteers who received either 2 or 3 doses of the Coronavac vaccine for blood donation. None of the volunteers recruited for vaccination was infected by SARS-CoV-2 before the study. Blood samples from convalescents and vaccinees collected 1.3 months after infection and the indicated times after vaccination were used in this study, respectively, to compare humoral immune responses elicited against circulating SARS-CoV-2 variants.
Neutralizing antibodies (NAbs) are a major correlate of protection for many viruses, including SARS-CoV-2. Neutralizing activity of plasma samples from 66 participants was measured against WT, B.1.351, P.1 and B.1.617.2 using live SARS-CoV-2 and VSV-pseudoviruses with the S from WT, B.1.1.7, P.1 variants and SARS-CoV (Fig. 1). The geometric mean half-maximal neutralizing titers (GMT NT50) against live SARS-CoV-2 in plasma obtained from convalescents and from vaccinees suggest an approximately 60% higher neutralizing activity against WT after 3-dose inoculation when compared with 2-dose administration, and 20% higher than those from convalescents (Fig. 1A). Interestingly, for the samples from the convalescents, 2-dose and 3-dose vaccinees, neutralizing titers against B.1.351 were, on average, 7.7-fold, 5.7-fold and 3.0-fold reduced, respectively, compared with WT (Fig. 1A). Similarly, fold decreases in neutralization ID50 titers against P.1 and B.1.617.2 for the three cohorts were 5.3, 4.3 and 3.1, and 5.3, 3.7 and 2.3, respectively (Fig. 1A). Overall, plasma of the 3-dose vaccinees displayed minimal reduction in neutralization titers against several authentic VOCs compared to the convalescents and 2-dose vaccinees (Fig. 1A). In line with the results of live SARS-CoV-2 neutralization assay, the mean fold decrease in the neutralization of B.1.1.7 relative to the WT was 2.8-fold for convalescents, 2.2-fold for 2-dose vaccinees and 1.7-fold for 3-dose vaccinees by using pseudo-typed viruses (Fig. 1B). Similarly, plasma from convalescents, 2-dose and 3-dose vaccinees exhibited a 4.5-fold, 2.9-fold and 2.4-fold reduction, in NAb titers against P.1, respectively, when compared to the WT (Fig. 1B). These results reveal that a third-dose boost of inactivated vaccine leads to enhanced neutralizing breadth to SARS-CoV-2 variants when compared to convalescent plasma.
To further characterize the expeditiousness, longevity, and immunological kinetics of recall response stimulated by the third-dose immunization, neutralizing potencies at days 0, 7, 14, 28, 90, and 180 post the third-dose vaccination were determined (Fig. 1C and 1D). Remarkably, NAb titer surged by ~8-fold (from 7 to 53) at week 1, and peaked by ~25-fold increase (up to 177) at week 2 after the 3rd-booster and slowly decreased over time (Fig. 1C). Notably, NAb titer was maintained at around 60 on 180 days post the 3rd-booster, comparable to the high level of NAb titer elicited by the 2-dose administration (Fig. 1D). Taken together, these serological results reveal a third-dose booster can elicit an expeditious, robust and long-lasting recall humoral response.
We used flow cytometry to sort the SARS-CoV-2 S-trimer-specific memory B cells from the blood of seven selected CoronaVac vaccinees (Figs. S1–2). The gated double-positive cells were single-cell sorted and immunoglobulin heavy (
IGH; IgG isotype) and light (
IGL or
IGK) chain genes were amplified by nested PCR. Overall, we obtained 422 and 132 paired heavy and light chain variable regions from S-binding IgG
+ memory B cells from four 3-dose and three 2-dose vaccinees, respectively (Figs. 1E and S2). Surprisingly, expanded clones of cells comprised 45%–61% of the overall S-binding memory B compartment in 3-dose vaccinees, which is approximately 2-fold higher than those in COVID-19 convalescents and in mRNA or 2-dose vaccinated individuals, revealing an ongoing clonal evolution (Fig. 1E and 1F). Shared antibodies with the same combination of
IGHV and
IGLV genes in 3-dose vaccinees comprised ~20% of all the clonal sequences. Similar to natural infection and mRNA vaccination (
Wang et al., 2021g),
IGHV3-30,
IGHV3-53, and
IGHV1-69 remained significantly over-represented in 3-dose vaccinees (Fig. S3). Additionally, the number of nucleotide mutations in the
V gene in 3-dose vaccinees is higher than those in both 2-dose vaccinees and naturally infected individuals assayed after 1.3 and 6.2 months, but slightly lower than those in convalescent individuals 1 year after infection (Fig. 1G), revealing ongoing somatic hypermutation of antibody genes.
To further explore the immunogenic characteristics of the antibodies obtained from memory B cells in 3-dose vaccinees, 48 clonal antibodies, designated as XGv01 to XGv50 (no expression for XGv37 and XGv48) were expressed and their antigen binding abilities verified by ELISA (Fig. S4). Biolayer interferometry affinities (BLI) measurements demonstrated that all antibodies bound to WT SARS-CoV-2 at sub-nM levels (Table S1). The normalized geometric mean ELISA half-maximal concentration (EC50) revealed that all antibodies (EC50 = 4.5 ng/mL) obtained from 3-dose vaccinees, in particular RBD-specific mAbs (EC50 = 3.5 ng/mL), possessed higher binding activities than RBD-mAbs from early convalescents (at 1.3 and 6.2 months after infection, EC50 = 5.0 and 6.8 ng/mL, respectively) and mRNA (EC50 = 4.4 ng/mL) vaccinated individuals, but were comparable to those from late convalescent individuals (EC50 = 2.6 ng/mL) assessed at 12 months after infection (Fig. 1H). These results indicate the possibility of the loss of antibodies with low binding affinities over time or an ongoing increase in affinity under repeated exposures to antigen. Among these antibodies tested, 26 were bound to RBD, 16 targeted NTD, and 6 interacted with neither RBD nor NTD, but bound S1 (S1/non-RBD-NTD) (Table S1). Pseudovirus neutralization assay revealed that all RBD-specific antibodies, 10 (~60%) of the 16 NTD-directed antibodies and 3 (~50%) of the 6 S1/non-RBD-NTD antibodies were neutralizing, presenting a relatively high ratio for NAbs (Figs. 1I, S5 and Table S2). Authentic SARS-CoV-2 neutralization assay results largely verified their neutralizing activities, albeit higher concentrations were required for some NAbs (Fig. S6). In line with binding affinity, the normalized geometric mean IC50 of the RBD antibodies of 3-dose vaccinees was 80 ng/mL, substantially lower than those from naturally infected individuals (ranging from 1.3 to 6.2 months, IC50 = 130–160 ng/mL) and mRNA vaccinated individuals (IC50 = 150 ng/mL), but similar to those from late convalescents (IC50 = 78 ng/mL) (Fig. 1H). The overall increased neutralizing potency might have resulted from the ongoing accumulation of clones expressing antibodies with tight binding.
RBD is one of the main targets of neutralization in SARS-CoV-2. RBD exists in either an “open” or “closed” configuration (
Walls et al., 2020), bearing antigenic sites with distinct “neutralizing sensitivity.” To dissect the nature of the epitopes of RBD targeted by NAbs, 171 SARS-CoV-2 RBD-targeting NAbs with available structures (
Lv et al., 2020;
Zhou et al., 2021), including cryo-EM structures determined in this manuscript (Figs. S7–8 and Table S3), were examined. By using cluster analysis on epitope structures, the antibodies were primarily classified into six sites (Ⅰ, Ⅱ, Ⅲ, Ⅳ, Ⅴ, and Ⅵ) (Figs. 2A and S9). Additionally, we superimposed structures of RBDs from these complex structures and calculated the clash areas between any 2 NAbs (Fig. 2B). Both strategies yielded identical results. Combining the results of the characterization of binding and neutralization studies reported previously with those determined here, the key structure-activity correlates for the six classes of antibodies were analyzed (Fig. 2). Antibodies with sites Ⅰ, Ⅱ, and Ⅲ, most frequently elicited by SARS-CoV-2 early infection, target the receptor-binding motif (RBM), and potently neutralize the virus by blocking the interactions between SARS-CoV-2 and ACE2 (Fig. 2C and 2D). Class I antibodies, mostly derived from
IGHV3-53/
IGHV3-66 with short HCDR3s (generally < 15 residues), recognize only the “open” RBD, and make major contacts with K417 and N501 (Figs. 1F, 1G, and S9–10). Approximately ~75% and 60% of class I NAbs were significantly impaired in binding and neutralizing activities against B.1.351 as well as P.1, respectively, due to the combined mutations of K417N/T and N501Y (Figs. 2D, S11 and S12). Contrarily, Class III antibodies bound to RBD either in “open” or “closed” conformation, extensively associated with E484, and partially with L452 (Figs. 2D and S10C). Disastrously, over 90% of class III antibodies showed a complete loss of activity against B.1.351 as well as P.1 largely owing to an E484K mutation (Fig. S12). Against B.1.617.2, the substantially decreased activity of ~half of the class III antibodies is presumably mediated by L452R (Fig. S12). Class II antibodies use more diverse VH-genes and target the patch lying between sites I and III (Figs. 2D and S13). As expected, the effects of mutations on the activity of class II antibodies were severe, two-thirds of these antibodies had >10-fold fall in neutralization activities against VOCs (Fig. S12). Overall, the above analysis reveals that the RBD mutations identified in several VOCs can significantly reduce and, in some cases, even abolish the binding and neutralization of classes I to III antibodies, albeit being the most potent neutralizing antibodies against WT SARS-CoV-2.
By contrast, antibodies of the other three classes recognize evolutionarily conserved regions distinct from the RBM and some of these are often cross-reactive with other sarbecoviruses (
Fedry et al., 2021). The binding of class IV antibodies, albeit attached to the apical shoulder of the RBM, is focused on a condensed patch that comprises residues 345–346, 440–441, 444–446, 448–450, which are not related to mutations observed in early VOCs (Figs. 2C and S9). Interestingly, class IV antibodies can execute their neutralizations via multiple mechanisms (
Barnes et al., 2020a). Class IV antibodies, e.g., 1-57, 2-7, S309, and BD-812, hold the greatest potential for harboring markedly high tolerance to most VOCs. Site V is located beneath the RBM ridge, opposite to the site I, and adjacent to the site III. None of the class V antibodies compete with ACE2 binding (Figs. 2D and S10). Due to ~40% targeting frequency to L452, B.1.617.2, but not other VOCs, partially decreased the activities of some class V antibodies (Fig. S12). Class VI antibodies recognize a patch on one side of the RBD, distal from the RBM. Among these, some compete with ACE2 binding, while some do not, and this largely depends on the orientation/pose of the antibodies bound. In spite of less potency, antibodies targeting sites V to VI are mostly tolerant to the VOCs.
To further understand the drivers of viral evolution, we constructed immunogenic and mutational heatmaps for RBD using the 171 NAb complex structures to estimate in vivo NAb-targeting frequencies on the RBD and viral mutation frequencies (calculated from the datasets in the GISAID), respectively (Figs. 2D and S13). Immunogenic heatmap revealed that the epitope residues of sites I to III showed predominantly higher NAb recognition frequencies (about 53.8, 55.0, and 49.2 antibodies per residue on average for site I, II, and III, respectively) compared with those of sites IV to VI (about 19.4, 9.1, and 14.3 antibodies per residues on average for site IV, V, and VI, respectively), suggesting that class I to III antibody epitopes are “hot” immunogenic sites (Figs. 2D and S13). In line with this, residues within sites I to III exhibited dramatically higher mutation frequencies, as revealed in circulating variants that include mutations of K417, L452, S477, T478, E484, and N501 residues (Figs. 2D and S13). Surprisingly, none of the top 9 hottest immunogenic residues had a high mutation frequency. In particular, residues, such as F486, Y489, Q493, L455, F456, etc. with large side chains exhibited extremely low mutation frequencies in circulating SARS-CoV-2 strains (Figs. 2D and S14). It is worth noting that all these residues are extensively involved in the recognition of ACE2. Thus, genetic, structural, and immunogenic analysis explains why mutations at these positions would not be selected.
To investigate whether changes in the frequency of distribution of the six types of RBD antibodies are associated with evolution time, we collated and categorized human SARS-CoV-2 NAbs from available literature. For antibody clustering, we combined structural and square competition matrix analysis for 273 RBD NAbs in total (Figs. 2E and S15). In the earliest documented studies (before Dec 2020), NAbs belonging to classes I to III were predominantly identified in early COVID-19 convalescent and 2-dose vaccinated individuals (defined as early time points), accounting for up to ~80% of total antibodies. By contrast, a low ratio of NAbs from IV to VI was reported possibly due to their less potent activities at the early time point (Fig. 2E). In a series of literature (after December 2020), NAbs with enhanced neutralizing potency and breadth from IV to VI have substantially been enriched in the late convalescents or 3-dose vaccinees, almost equal in frequency to antibodies from I to III and further becoming ascendant in individuals immunized with 3 doses of inactivated vaccine (Fig. 2E). These results suggest that memory B cells display clonal turnover after about 6 months, subsequently resulting in changes in the composition of antibodies in B cell repertoire and thereby partially contributing to enhanced activities of antibodies secreted in the plasma over time. To explore the underlying mechanism, we measured the binding affinities of 167 type-classified antibodies that are also further categorized into early and late time point groups (Table S1). For the late time group, there was a 10–20 fold increase in binding affinity for individual classes, compared to those in the early time point group (Fig. 2F). In the early time point group, antibodies from IV to VI exhibited higher binding affinities to the RBD than those from I to III, in particular, antibodies from V and VI despite limited numbers (Fig. 2F). Thus, most antibodies from V and VI with low affinities and activities might be screened out in the early time point. In the late point group, sub-nM binding affinities for individual class antibodies with no distinct variations were observed, reflecting ongoing affinity maturation over time (Fig. S12). Our antibody clustering and V gene usage analysis suggests that individual class antibodies can be derived from multiple V genes and the shared V gene antibodies belong to different classes. To decipher the intrinsic trends in the relationship between binding affinity and somatic hypermutation (SHM) rate, we determined the relative affinity (KD) and calculated the SHM rate of antibodies that are encoded by the same V gene and belong to the same class. The measured KD–SHM plots and KD–SHM log-log plots of class I antibodies (n = 61), including 32 NAbs derived from IGHV3-53, show least squares fitting of data to a power law with a strong correlation of −0.81 for IGHV3-53 antibodies (−0.55 for all class I antibodies) (Fig. 2G). The absolute value of its slope corresponding to a free energy change per logarithm (base e) SHM of cal ∙ nmol−1, where free energy change is 4.98RT + 1.48RT ln(SHM) (R = 2.0 cal ∙ K−1 ∙ nmol−1 and T = 298 K). Antibodies with adequate numbers tested from II and III exhibited similar trends by following a power law, among which IGHV3-66 antibodies in class II yielded a compelling correlation of −0.94 despite six plots involved in the fitting (Fig. 2G). These trends indicate that as the SHM increases, the binding energy increases and KD value decreases.
As of the initial submission of this manuscript, the B.1.617.2 variant had contributed to another surge in COVID-19 cases worldwide. Afterward, skyrocketing cases of breakthrough infections among fully vaccinated people were widely observed when other variants emerged and spread, including Omicron and its subvariants, such as BA.2, BA.5, XBB, and EG.5.1 (
Cao et al., 2022b;
Wang et al., 2023). Our results demonstrate that a third-dose booster of inactivated vaccine can elicit an expeditious, robust, and long-lasting recall humoral response which continues to evolve with ongoing accumulation of somatic mutations, emergence of new clones, and increasing affinities of antibodies to antigens, conferring enhanced neutralizing potency, and breadth. With the emergence of Omicron subvariants which have been evolving to largely alter viral antigenicity over time, the immune responses induced by repeated immunization of nearly all types of prototype virus-derived vaccines have been dampened. However, the immunization of variant strain-derived booster dose has shown a highly improved immune response to inhibit the viral infection and has been recommended by FDA, signifying the importance of booster dose immunization against SARS-CoV-2 (
Chalkias et al., 2022). More importantly, similar to our observed antibody dynamics after the booster dose, multiple independent studies have pointed out that the strengthened immunity against the SARS-CoV-2 variants conferred by the booster dose is largely due to the sustained somatic hypermutation and spike protein-driven affinity maturation of memory B cell receptor-encoded antibodies (
Muecksch et al., 2022;
Zhao et al., 2022). Collectively, our findings rationalize the use of 3-dose vaccination regimens, providing fundamental insights into the clinical application of booster dose, effectively inhibiting the circulation of SARS-CoV-2 across the world.
The Author(s) 2024. Published by Oxford University Press on behalf of Higher Education Press.