Dear Editor,
Coronavirus disease 2019 (COVID-19) pandemic has caused over 6 million deaths in the past 2 years, and continues to pose a significant threat to the world due to the increased transmissibility, infectivity, and immune evasion of continuously emerging variants1. Within weeks since its first identification, the newly emerged variant of concern (VOC), Omicron (lineage B.1.1.529) became the dominant variant and spread rapidly worldwide2. From the initial spread of Omicron, B.1.1.529 emerged two sub-lineages, BA.1 (alias of B.1.1.529.1) and BA.2 (alias of B.1.1.529.2). After Omicron BA.1 became globally dominant, it was rapidly displaced in most regions by BA.22, leading the World Health Organization to classify Omicron BA.2 as another VOC3. The on-going COVID-19 “waves” are predominantly associated with BA.2 and BA.2.12.1.
Compared to the ancestral/wild-type (WT) virus, Omicron variants contain a high number of mutations in spike protein, which is the primary target of clinical antibodies and vaccines. The substantial differences between WT and Omicron spikes lead to extensive immune escape of Omicron from WT mRNA vaccine4, which prompted the idea of developing Omicron-specific vaccines. We generated several COVID-19 variant-specific mRNA vaccine candidates (including Omicron BA.1)5,6 which were designed based on variants’ spike stabilized by six proline mutations7. Variant-specific vaccine candidates, or lipid nanoparticle (LNP)-mRNAs, unequivocally exhibited advantage over WT LNP-mRNA in terms of eliciting neutralizing antibody against cognate antigens5,6. Moreover, immune profiling of Omicron BA.1 LNP-mRNA showed a significant boosting effect on waning immunity of WT LNP-mRNA-vaccinated mice to both Delta and Omicron BA.1 variants.
Omicron BA.1 and BA.2 share 21 mutations, but differ in 25 sites (Fig. 1a, b). Because of this antigenic divergence, Iketani et al. showed that BA.2 exhibited differential resistance profile to monoclonal antibodies than BA.18. It is worth noting that BA.2 showed remarkable resistance to all clinical monoclonal antibodies except for recently authorized bebtelovimab8. The significant difference of BA.1 and BA.2 spikes raises a number of important questions. For instance, how potent is the immunity elicited by heterotypic vaccination, with WT or variant-specific LNP-mRNAs, against BA.2? How does this immune response compare to the response to BA.1? Does heterologous boosting with BA.1 LNP-mRNA or homologous boosting with WT LNP-mRNA remain effective against BA.2?
To answer these questions, we characterized the antibody response induced by WT or variant specific LNP-mRNAs to Omicron BA.2 and compared it with immune response to BA.1. Samples used for BA.2 characterization were collected from mice that received two doses of 1 µg WT, B.1.351 (Beta variant) or B.1.617 (ancestor to the Delta variant (lineage B.1.617.2)) LNP-mRNAs6. All three LNP-mRNAs elicited significant antibody response to BA.2 (Fig. 1c, d; Supplementary Figs. S1, S2). Both B.1.351 and B.1.617 LNP-mRNA groups showed a trend of higher binding and neutralizing titers than WT group. Because of the strong selection pressure in the spike protein, emerging variants often share key mutations (i.e., convergent evolution)9. BA.2 shares 3 spike mutations with B.1.351 (K417N, N501Y, D614G) and B.1.617 (G142D, D614G, P681R), which may explain why the antibody response to BA.2 was higher in these two variants LNP-mRNA groups compared to WT (Fig. 1a). In all three vaccination groups, antibody response to BA.2 was similar to that of BA.1 (Fig. 1c), suggesting approximately equal reactivity of BA.1 and BA.2 to vaccination by WT, B.1.351 and B.1.617 LNP-mRNAs. It is worth noting that both BA.1 and BA.2 share the same three mutations with B.1.351 and B.1.617, which contributed to the conserved cross reactivity to two Omicron sublineages.
Given the BA.2 neutralization titer advantage of variant LNP-mRNA over WT, we went on to profile the antibody response of BA.1 LNP-mRNA to BA.2. To model the real-world scenario of boosting waning immunity of general population receiving WT mRNA vaccines10,11, we sought to investigate the effect of homologous boosting with WT LNP-mRNA or heterologous boosting with BA.1 LNP-mRNA on waning immunity of WT-vaccinated animals against Omicron BA.2. The overall antibody titer changes over time in matched booster groups showed similar trend within BA.1 and BA.2 ELISA datasets as well as within receptor-binding domain (RBD) and ectodomain (ECD) datasets (Fig. 1e). An over 18-fold time-dependent decrease in antibody titer was observed over 3 months (day 35 vs >4 months) in both BA.1 and BA.2 datasets, suggesting evident and comparable waning immunity for the two Omicron sublineages. When comparing the boosting effect of WT and BA.1 LNP-mRNAs, BA.1 LNP-mRNA consistently showed a better performance than WT in BA.1 and BA.2 datasets. The ECD-binding antibody titer increases by BA.1 LNP-mRNA were 357-fold (fold change = titer ratio – 1) and 246-fold for BA.1 and BA.2 antigens respectively, while the ones mediated by WT LNP-mRNA were 25-fold and 27-fold. The RBD dataset showed a matching, well-correlated titer pattern with ECD dataset, although its overall titer level was lower due to limited epitopes and monomer state (Fig. 1e; Supplementary Fig. S3). Compared to BA.1 antigen, both WT and BA.1 LNP-mRNAs showed weaker boosting effects on BA.2 antigen and this effect reduction was more apparent for BA.1 LNP-mRNA than WT LNP-mRNA. As the post-booster titers against BA.1 and BA.2 were quite similar, this reduction was mainly due to higher pre-booster titers against BA.2 antigen, although such pre-booster titer difference between BA.1 and BA.2 did not reach statistical significance. The data from pseudovirus neutralization assay of BA.2 correlated well with corresponding ELISA data and strengthened the forementioned findings in ELISA (Supplementary Fig. S4). The neutralizing titer enhancement mediated by WT and BA.1 boosters were 17-fold (P < 0.001) and 63-fold (P < 0.0001), respectively (Fig. 1f). Importantly, the heterotypic vaccination by Omicron BA.1 LNP-mRNA vaccine booster is more efficient at boosting neutralizing titers than WT LNP-mRNA booster (comparing boosting effect of WT vs BA.1, 64/18 = 3.6, Fig. 1f). The Omicron BA.2.12.1 subvariant is rapidly rising across the world. It gained L452Q and S704L mutations from its predecessor BA.2 subvariant. As we previously showed that mutations at L452 site have the highest individual impact on decreasing neutralization titers12, we went on to ask how efficient WT and BA.1 LNP-mRNA boosters are to elicit neutralizing antibodies against BA.2.12.1. To answer this question, we assessed sera neutralization activity of BA.2.12.1 infectious virus using a 50% plaque-reduction neutralization (PRNT50) assay. This assay showed a significant neutralizing titer increase (8-fold) by BA.1 booster, but not by WT booster, indicative of attenuation of BA.2.12.1 infection mediated by BA.1 booster as well as an apparent immune evasion of BA.2.12.1 from WT elicited immunity (Fig. 1g). These data highlight the benefit of receiving booster shots and advantage of BA.1-specific booster over WT booster against Omicron BA.2 as well as BA.2.12.1.
In summary, our data showed a significant drop of antibody titers over time and clear benefit of WT and BA.1 LNP-mRNA boosters on Omicron BA.1, BA.2 and BA.2.121, which justify and necessitate the use of homologous WT or heterologous BA.1 boosters in order to curb the fast spread of Omicron sublineages. The remarkable antigenic evolution of emerging variants from WT virus renders many existing clinical antibodies and vaccines lost of efficacy, which is especially evident for Omicron BA.2 and BA.2.12.1. To prevent this ever-evolving enemy breaking through our line of defense, we generated and characterized a number of variant-specific LNP-mRNAs, including B.1.351, B.1.617, and BA.1. Because of shared mutations with BA.1, BA.2 or BA.2.12.1, these variant-specific LNP-mRNAs displayed better performance of inducing neutralizing antibodies than WT LNP-mRNA in booster and non-booster settings. Characterization of these variant-specific LNP-mRNAs would pave way for developing new mRNA vaccines targeting the evolving variants.
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Acknowledgements
This work is supported by DoD PRMRP IIAR (W81XWH-21-1-0019) and discretionary funds to S.C. We thank members from our labs for support. We thank Drs. A. Iwasaki, M. Müschen, and L. Chen for generous support. We thank support from Yale core facilities, Department of Genetics; Institutes of Systems Biology and Cancer Biology; Dean’s Office of Yale School of Medicine and the Office of Vice Provost for Research.
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S.C. conceptualized the project. S.C. and Z.F. designed the study. Z.F., L.P., C.L. performed experiments and analyzed the data. Q.L., L.Z., L.Y., Y.F., P.R., V.S.M., A.M.H., P.A.R., J.J.P., X.Z. assisted with experiments. Y.S.G.S.I., N.D.G., and C.B.W. provided resources and support. S.C. supervised the study. Z.F. wrote the manuscript with feedback from all authors.
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We declare that none of the authors have competing financial or non-financial interests related to this study as defined by Nature Portfolio. S.C. is a Founder of EvolveImmune Tx, Cellinfinity Bio, and Chen Consulting, all unrelated to this study. The remaining authors declare no competing interest.
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The Yale Human Research Protection Program Institutional Review Board determined that the sequencing and generating a virus isolate from de-identified remnant COVID-19 clinical samples conducted in this study were not research involving human participants (IRB protocol ID 2000028599).
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Fang, Z., Peng, L., Lucas, C. et al. Heterotypic vaccination responses against SARS-CoV-2 Omicron BA.2. Cell Discov 8, 69 (2022). https://doi.org/10.1038/s41421-022-00435-w
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DOI: https://doi.org/10.1038/s41421-022-00435-w