Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.
Advertisement
Nature volume 608, pages 603–608 (2022)
55k
289
1673
Metrics details
SARS-CoV-2 Omicron subvariants BA.2.12.1 and BA.4/5 have surged notably to become dominant in the United States and South Africa, respectively1,2. These new subvariants carrying further mutations in their spike proteins raise concerns that they may further evade neutralizing antibodies, thereby further compromising the efficacy of COVID-19 vaccines and therapeutic monoclonals. We now report findings from a systematic antigenic analysis of these surging Omicron subvariants. BA.2.12.1 is only modestly (1.8-fold) more resistant to sera from vaccinated and boosted individuals than BA.2. However, BA.4/5 is substantially (4.2-fold) more resistant and thus more likely to lead to vaccine breakthrough infections. Mutation at spike residue L452 found in both BA.2.12.1 and BA.4/5 facilitates escape from some antibodies directed to the so-called class 2 and 3 regions of the receptor-binding domain3. The F486V mutation found in BA.4/5 facilitates escape from certain class 1 and 2 antibodies but compromises the spike affinity for the viral receptor. The R493Q reversion mutation, however, restores receptor affinity and consequently the fitness of BA.4/5. Among therapeutic antibodies authorized for clinical use, only bebtelovimab retains full potency against both BA.2.12.1 and BA.4/5. The Omicron lineage of SARS-CoV-2 continues to evolve, successively yielding subvariants that are not only more transmissible but also more evasive to antibodies.
Severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) Omicron or B.1.1.529 variant continues to dominate the coronavirus disease-2019 (COVID-19) pandemic. Globally, the BA.2 subvariant has rapidly replaced previous subvariants BA.1 and BA.1.1 (Fig. 1a). The recent detection and notable expansion of three new Omicron subvariants have raised concerns. BA.2.12.1 emerged in the United States in early February and expanded substantially (Fig. 1a), now accounting for over 55% of all new SARS-CoV-2 infections in the country2. BA.4 and BA.5 emerged in South Africa in January and rapidly became dominant there with a combined frequency of over 88% (ref. 4). These new Omicron subvariants have been detected worldwide, with a combined frequency of over 50% in recent weeks. However, their growth trajectories in the United States and South Africa indicate a substantial transmission advantage that will probably result in further expansion, as is being observed in countries such as the United Kingdom (Fig. 1a). Phylogenetically, these new subvariants evolved independently from BA.2 (Fig. 1b). The spike protein of BA.2.12.1 contains L452Q and S704L alterations in addition to the known mutations in BA.2, whereas the spike proteins of BA.4 and BA.5 are identical, each with four more alterations: Del69-70, L452R, F486V and R493Q, a reversion mutation (Fig. 1c). The location of several of these mutations within the receptor-binding domain (RBD) of the spike protein raises the spectre that BA.2.12.1 and BA.4/5 may have evolved to further escape from neutralizing antibodies.
a, Frequencies of BA.1, BA.1.1, BA.2, BA.2.12.1 and BA.4/5 deposited in GISAID. The value in the upper right corner of each box denotes the cumulative number of sequences for all circulating viruses in the denoted time period. b, Unrooted phylogenetic tree of Omicron and its subvariants along with other main SARS-CoV-2 variants. The scale bar indicates the genetic distance. c, Key spike mutations found in BA.2, BA.2.12.1, BA.4 and BA.5. Del, deletion.
To understand antigenic differences of BA.2.12.1 and BA.4/5 from previous Omicron subvariants (BA.1, BA.1.1 and BA.2) and the wild-type SARS-CoV-2 (D614G), we produced each pseudovirus and then assessed the sensitivity of each pseudovirus to neutralization by a panel of 21 monoclonal antibodies (mAbs) directed to known neutralizing epitopes on the viral spike. Among these, 19 target the four epitope classes in the RBD3, including REGN10987 (imdevimab)5, REGN10933 (casirivimab)5, COV2-2196 (tixagevimab)6, COV2-2130 (cilgavimab)6, LY-CoV555 (bamlanivimab)7, CB6 (etesevimab)8, Brii-196 (amubarvimab)9, Brii-198 (romlusevimab)9, S309 (sotrovimab)10, LY-CoV1404 (bebtelovimab)11, ADG-2 (ref. 12), DH1047 (ref. 13), S2X259 (ref. 14), CAB-A17 (ref. 15) and ZCB11 (ref. 16), as well as 1–20, 2–15, 2–7 (ref. 17) and 10–40 (ref. 18) from our group. Two other mAbs, 4–18 and 5–7 (ref. 17), target the N-terminal domain (NTD). Our findings are shown in Fig. 2a, as well as in Extended Data Fig. 1 and Extended Data Table 1. Overall, 18 and 19 mAbs lost neutralizing activity completely or partially against BA.2.12.1 and BA.4/5, respectively. Neutralization profiles were similar for BA.2 and BA.2.12.1 except for three class 3 RBD mAbs (Brii-198, REGN10987 and COV2-2130) that were either inactive or further impaired against the latter subvariant. Compared to BA.2 and BA.2.12.1, BA.4/5 showed substantially greater neutralization resistance to two class 2 RBD mAbs (ZCB11 and COV2-2196) as well as modest resistance to two class 3 RBD mAbs (REGN10987 and COV2-2130). Collectively, these differences indicate that mutations in BA.2.12.1 confer greater evasion from antibodies to class 3 region of RBD, whereas mutations in BA.4/5 confer greater evasion from antibodies to class 2 and class 3 regions. Only four RBD mAbs (CAB-A17, COV2-2130, 2–7 and LY-COV1404) retained good in vitro potency against both BA.2.12.1 and BA.4/5 with a half-maximum inhibitory concentration (IC50) below 0.1 μg ml−1. Among these four mAbs, COV2-2130 (cilgavimab) is one component of a combination known as Evusheld that is authorized for prevention of COVID-19, whereas only LY-COV1404 or bebtelovimab is authorized for therapeutic use in the clinic. For antibody combinations previously authorized or approved for clinical use, all showed a substantial loss of activity in vitro against BA.2.12.1 and BA.4/5. As for a mAb directed to the antigenic supersite of the NTD19, 4–18 lost neutralizing activity against all Omicron subvariants. A mAb to the NTD alternate site, 5–7 (ref. 20), was also inactive against BA.2.12.1 and BA.4/5 but retained modest activity against BA.1 and BA.1.1 (Fig. 2a).
a, Neutralization of D614G and Omicron subvariants by RBD- and NTD-directed mAbs. Values above the limit of detection of 10 μg ml−1 (dotted line) are arbitrarily plotted to allow for visualization of each sample. b, Fold change in IC50 values of point mutants relative to D614G or BA.2, with resistance coloured red and sensitization coloured green. c, Location of F486V, L452R/Q and R493Q on D614G RBD, with the colour indicating the per residue frequency recognized by SARS-CoV-2 neutralizing antibodies. d,e, Modelling of L452R/Q (d) and F486V (e) affect class 2 mAb neutralization. The clashes are shown with red plates; the hydrogen bonds are shown with dark dashed lines. The results shown in a and b are representative of those obtained in two independent experiments.
A subset of the pseudovirus neutralization data was confirmed for four monoclonal antibodies (COV2-2196, ZCB11, REGN10987 and LY-CoV1404) in neutralization experiments using authentic viruses BA.2 and BA.4 (Extended Data Fig. 1b and Extended Data Table 1). Similar neutralization patterns were observed in the two assays, although the precise 50% neutralizing titres were different.
To identify the mutations in BA.2.12.1 and BA.4/5 that confer antibody resistance, we assessed the neutralization sensitivity of pseudoviruses carrying each of the point mutations in the background of D614G or BA.2 to the aforementioned panel of mAbs and combinations. Detailed findings are presented in Extended Data Figs. 2 and 3 and Extended Data Table 2, and the most salient results are highlighted in Fig. 2b and discussed here. Substitutions (M, R and Q) at residue L452, previously found in the Delta and Lambda variants21,22, conferred resistance largely to classes 2 and 3 RBD mAbs, with L452R being the more detrimental mutation. F486V broadly impaired the neutralizing activity of several class 1 and 2 RBD mAbs. Notably, this mutation decreased the potency of ZCB11 2,000-fold. By contrast, the reversion mutation R493Q sensitized BA.2 to neutralization by several class 1 and 2 RBD mAbs. This finding is consistent with our previous study23 showing that Q493R found in the earlier Omicron subvariants mediated resistance to the same set of mAbs. L452, F486 and Q493, situated at the top of RBD, are among the residues most commonly targeted by SARS-CoV-2 neutralizing mAbs whose epitopes have been defined (Fig. 2c). In silico structural analysis showed that both L452R and L452Q caused steric hindrance to the binding by class 2 RBD mAbs. One such example is shown for LY-CoV555 (Fig. 2d), demonstrating the greater clash because of the arginine substitution and explaining why this particular mutation led to a larger loss of virus-neutralizing activity (Fig. 2b). Structural modelling of the F486V again showed steric hindrance to binding by class 2 RBD mAbs such as REGN10933, LY-CoV555 and 2–15 caused by the valine substitution (Fig. 2e).
Epidemiological data clearly indicate that both BA.2.12.1 and BA.4/5 are very transmissible (Fig. 1a); however, the further mutations at the top of RBD (Fig. 2c) of these subvariants raises the possibility of a significant loss of affinity for the viral receptor, human angiotensin-converting enzyme 2 (hACE2). We therefore measured the binding affinity of purified spike proteins of D614G and main Omicron subvariants to dimeric hACE2 using surface plasmon resonance (SPR). The spike proteins of the Omicron subvariants exhibited similar binding affinities to hACE2, with KD values ranging from 1.66 nM for BA.4/5 to 2.36 nM for BA.2.12.1 to 2.79 nM for BA.1.1 (Fig. 3a). Despite having >17 mutations in the RBD including some that mediate antibody escape, BA.2.12.1 and BA.4/5 also evolved concurrently to gain a slightly higher affinity for the receptor than an ancestral SARS-CoV-2, D614G (KD 5.20 nM).
a, Binding affinities of Omicron subvariant S2P spike proteins to hACE2 as measured by SPR. b, Sensitivity of pseudotyped Omicron subvariants and the individual mutations in the background of BA.2 to hACE2 inhibition. The hACE2 concentrations resulting in 50% inhibition of infectivity (IC50) are presented. Data are shown as mean ± standard error of mean (s.e.m.) for three technical replicates. c, In silico analysis for how R493Q and F486V affect hACE2 binding. The hACE2 surface is shown with charge potential, with red and blue representing negative and positive charges, respectively. Omicron BA.1 RBD in complex with hACE2 was downloaded from PDB 7U0N, and the ligand-free BA.2 RBD was downloaded from PDB 7UB0. The results shown in a and b are representative of those obtained in two independent experiments.
To support the findings by SPR and to probe the role of point mutations in hACE2 binding, we tested BA.2, BA.2.12.1, and BA.4/5 pseudoviruses, as well as pseudoviruses containing key mutations, for their neutralization by dimeric hACE2 in vitro. The 50% inhibitory concentration (IC50) values were lower for BA.4/5 and BA.2.12.1 than that for BA.2 (Fig. 3b), again indicating that these two emerging Omicron subvariants have not lost receptor affinity. Our results also showed that the F486V mutation compromised receptor affinity, as previously reported24, while the R493Q reversion mutation improved receptor affinity. To structurally interpret these results, we modelled F486V and R493Q mutations on the basis of the crystal structure of BA.1-RBD–hACE2 complex25 overlaid with ligand-free BA.2 RBD (Protein Data Bank (PDB) 7U0N and 7UB0). This analysis found that both R493 and F486 are conformationally similar between BA.1 and BA.2, and F486V led to a loss of interaction with a hydrophobic pocket in hACE2 (Fig. 3c). On the other hand, the R493Q reversion mutation restored a hydrogen bond with H34 and avoided the charge repulsion by K31, seemingly having the opposite effect of F486V. The mutation frequency at F486 had been exceedingly low (<10 × 10−5) until the emergence of BA.4/5 (Extended Data Table 3), probably because of a compromised receptor affinity. Taken together, our findings in Figs. 2 and 3 suggest that F486V allowed BA.4 and BA.5 to extend antibody evasion while R493Q compensated to regain fitness in receptor binding.
We next assessed the extent of BA.2.12.1 and BA.4/5 resistance to neutralization by sera from four different clinical cohorts. Sera from people immunized with only two doses of COVID-19 messenger RNA vaccines were not examined because most of them could not neutralize earlier Omicron subvariants23,26. Instead, we measured serum neutralizing activity for people who received three shots of mRNA vaccines (boosted), individuals who received mRNA vaccines before or after non-Omicron infection and patients with either BA.1 or BA.2 breakthrough infection after vaccination. Their clinical information is described in Extended Data Table 4, and the serum neutralization profiles are presented in Extended Data Fig. 4 and the 50% inhibitory dose (ID50) titres are summarized in Fig. 4a. For the ‘boosted’ cohort, neutralization titres were noticeably lower (4.6- to 6.2-fold) for BA.1, BA.1.1 and BA.2 compared to D614G (Fig. 4b), as previously reported23,26. Titres for BA.2.12.1 and BA.4/5 were even lower, by 8.1- and 19.2-fold, respectively, relative to D614G and by 1.8- and 4.2-fold, respectively, relative to BA.2. A similar trend was observed for serum neutralization for the other cohorts, with the lowest titre against BA.4/5, followed next by titre against BA.2.12.1. Relative to BA.2, BA.2.12.1 and BA.4/5 showed 1.2–1.4-fold and 1.6–4.3-fold, respectively, greater resistance to neutralization by sera from these individuals who had both the mRNA vaccination and SARS-CoV-2 infection. In addition, sera from vaccinated and boosted individuals were assayed for neutralization of authentic viruses (Extended Data Fig. 4e,f). Neutralization titres for BA.4 were 2.7-fold lower on average compared to titres for BA.2, in line with the pseudovirus results.
a, Neutralization of pseudotyped D614G and Omicron subvariants by sera from four different clinical cohorts. b, Fold change in geometric mean ID50 titres of boosted vaccinee sera relative to D614G and BA.2, with resistance coloured red and sensitization coloured green. c, Serum neutralization of BA.2 pseudoviruses containing single mutations found within BA.2.12.1 and BA.4/5. d, Antigenic map based on the neutralization data of boosted vaccinee sera. SARS-CoV-2 variants are shown as coloured circles and sera are shown as grey squares. The x, y and z axis represent antigenic units (AU) with one grid corresponding to a two-old serum dilution of the neutralization titre. An interactive map is available online (https://figshare.com/articles/media/OmicronAntigenicMap/19854046). The map orientation in the x, y and z axis is free to rotate. For all the panels in a and c, values above the symbols denote the geometric mean ID50 values and values on the lower left show the sample size (n) for each group. P values were determined by using two-tailed Wilcoxon matched-pairs signed-rank tests. The results shown are representative of those obtained in two independent experiments.
We also conducted serum neutralization assays on pseudoviruses containing point mutations found in BA.2.12.1 or BA.4/5 in the background of BA.2. Del69-70, L452M/R/Q and F486V each modestly (1.1- to 2.4-fold) decreased the neutralizing activity of sera from all cohorts, while the R493Q reversion mutation modestly (roughly 1.5-fold) enhanced the neutralization (Fig. 4c and Extended Data Fig. 5). S704L, a mutation close to the S1/S2 cleavage site, did not appreciably alter the serum neutralization titres against BA.2. For boosted serum samples, the impact of each point mutant on neutralization resistance was quantified and summarized in Fig. 4b.
Using these serum neutralization results, we then constructed a graphic display to map antigenic distances among D614G, various Omicron subvariants, and individual point mutants using only results from the boosted serum samples to avoid confounding effects from differences in clinical histories in the other cohorts. Using methods well established in influenza research27, all virus and serum positions on the antigenic map were optimized so that the distances between them correspond to the fold drop in neutralizing ID50 titre relative to the maximum titre for each serum. Each unit of distance in any direction on the antigenic map corresponds to a two-fold change in ID50 titre. The resultant antigenic cartography (Fig. 4d) shows that BA.1, BA.1.1 and BA.2 are roughly equidistant from the boosted sera, with each about 2–3 antigenic units away. BA.2.12.1 is further away from BA.2 by about 1 antigenic unit. Most of all, BA.4/5 is 4.3 antigenic units further from boosted sera than D614G, and 2 antigenic units further than BA.2. Each of the point mutants Del69-70, L452M/Q/R and F486V adds antigenic distance from these sera compared to BA.2 and D614G, whereas R493Q has the opposite effect. Overall, this map makes clear that BA.4/5 is substantially more neutralization resistant to sera obtained from boosted individuals, with several mutations contributing to the antibody evasion.
We have systematically evaluated the antigenic properties of SARS-CoV-2 Omicron subvariants BA.2.12.1 and BA.4/5, which are rapidly expanding globally (Fig. 1a). It is apparent that BA.2.12.1 is only modestly (1.8-fold) more resistant to sera from vaccinated and boosted individuals than the BA.2 subvariant that currently dominates the global pandemic (Fig. 4b). On the other hand, BA.4/5 is substantially (4.2-fold) more resistant, a finding consistent with results recently posted by other groups1,28. This antigenic distance is similar to that between the Delta variant and the ancestral virus29 and thus is likely to lead to more breakthrough infections in the coming months. A key question now is whether BA.4/5 would out-compete BA.2.12.1, which poses less of an antigenic threat. This competition is now playing out in the United Kingdom. These new Omicron subvariants were first detected there almost simultaneously in late March of 2022. However, BA.2.12.1 now accounts for 13% of new infections in the United Kingdom, whereas the frequency is over 50% for BA.4/5 (Fig. 1a), suggesting a transmission advantage for the latter.
Epidemiologically, as both of these two Omicron subvariants have a clear advantage in transmission, it is therefore not surprising that their abilities to bind the hACE2 receptor remain robust (Fig. 3a) despite numerous mutations in the spike protein. In fact, BA.4/5 may have slightly higher affinity for the receptor, consistent with suggestions that it might be more fit30. However, assessment of transmissibility would be more revealing by conducting studies on BA.2.12.1 and BA.4/5 in animal models31.
Our studies on the specific mutations found in BA.2.12.1 and BA.4/5 show that Del69-70, L452M/R/Q and F486V could individually contribute to antibody resistance, whereas R493Q confers antibody sensitivity (Fig. 4b). Moreover, the data generated using SARS-CoV-2-neutralizing mAbs indicate that a mutation at L452 allows escape from class 2 and class 3 RBD antibodies and that the F486V mutation mediates escape from class 1 and class 2 RBD antibodies (Fig. 2b). It is not clear how Del69-70, a mutation that might increase infectivity32 and previously seen in the Alpha variant33, contributes to antibody resistance except for the possible evasion from certain neutralizing antibodies directed to the NTD. As for the use of clinically authorized mAbs to treat or block infection by BA.2.12.1 or BA.4/5, only bebtelovimab (LY-COV1404)11 retains potency, whereas the combination of tixagevimab and cilgavimab (COV2-2196 and COV2-2130)6 shows a modest loss of activity (Fig. 2a).
As the Omicron lineage has evolved over the past few months (Fig. 1b), each successive subvariant has seemingly become better and better at human transmission (Fig. 1a) as well as in antibody evasion23,34. It is only natural that scientific attention remains intently focused on each new subvariant of Omicron. However, we must be mindful that each of the globally dominant variants of SARS-CoV-2 (Alpha, Delta and Omicron) emerged stochastically and unexpectedly. Vigilance in our collective surveillance effort must be sustained.
No statistical methods were used to predetermine sample size. The experiments were not randomized and the investigators were not blinded to allocation during experiments and outcome assessment.
Sera from individuals who received three doses of the mRNA-1273 or BNT162b2 vaccine were collected at Columbia University Irving Medical Center. Sera from individuals who were infected by non-Omicron variants of SARS-CoV-2 in addition to vaccination were collected from January 2021 to September 2021 at Columbia University Irving Medical Center or at the Hackensack Meridian Center for Discovery and Innovation. Sera from individuals who were infected by Omicron (BA.1 or BA.2) following vaccinations were collected from December 2021 to May 2022 at Columbia University Irving Medical Center. All samples were confirmed for previous SARS-CoV-2 infection status by antinucleoprotein ELISA. All collections were conducted under protocols reviewed and approved by the Institutional Review Board of Columbia University or the Hackensack Meridian Center for Discovery and Innovation. All participants provided written informed consent. Clinical information on the different cohorts of study participants is provided in Extended Data Table 4.
Antibodies were expressed as previously described17. Heavy chain variable and light chain variable genes for each antibody were synthesized (GenScript), then transfected into Expi293 cells (Thermo Fisher Scientific) and purified from the supernatant by affinity purification using rProtein A Sepharose (GE). REGN10987, REGN10933, COV2-2196 and COV2-2130 were provided by Regeneron Pharmaceuticals; Brii-196 and Brii-198 were provided by Brii Biosciences; CB6 was provided by B. Zhang and P. Kwong (National Institutes of Health (NIH)) and ZCB11 was provided by Z. Chen (University of Hong Kong).
Expi293 cells were obtained from Thermo Fisher Scientific (A14527); Vero-E6 cells were obtained from the ATCC (CRL-1586); human embryonic kidney 293T (HEK293T) cells were obtained from the ATCC (CRL-3216). Cells were purchased from authenticated vendors and morphology was confirmed visually before use. All cell lines tested mycoplasma negative.
BA.1, BA.1.1 and BA.2 spike-expressing plasmids were generated as previously described23,26. Plasmids encoding the BA.2.12.1 and BA.4/5 spikes, as well as the individual and double mutations found in BA.2.12.1 and BA.4/5, were generated using the QuikChange II XL site-directed mutagenesis kit according to the manufacturer’s instructions (Agilent). To make the constructs for expression of stabilized soluble S2P spike trimer proteins, 2P substitutions (K986P and V987P) and a ‘GSAS’ substitution of the furin cleavage site (682–685 amino acids (aa) in WA1) were introduced into the spike-expressing plasmids35, and then the ectodomain (1–1,208 aa in WA1) of the spike was fused with a C-terminal 8× His-tag and cloned into the paH vector. All constructs were confirmed by Sanger sequencing.
SARS-CoV-2 S2P spike trimer proteins of the D614G and Omicron subvariants were generated by transfecting Expi293 cells with the S2P spike trimer-expressing constructs using 1 mg ml−1 polyethylenimine and then purifying from the supernatants 5 days post-transfection using Ni-NTA resin (Invitrogen) according to the manufacturer’s instructions17.
SPR binding assays for hACE2 binding to SARS-CoV-2 S2P spike were performed using a Biacore T200 biosensor equipped with a Series S CM5 chip (Cytiva), in a running buffer of 10 mM HEPES pH 7.4, 150 mM NaCl, 3 mM EDTA, 0.05% P-20 (Cytiva) at 25 °C. Spike proteins were captured through their C-terminal His-tag over an anti-His antibody surface. These surfaces were generated using the His-capture kit (Cytiva) according to the manufacturer’s instructions, resulting in roughly 10,000 RU of anti-His antibody over each surface. An anti-His antibody surface without antigen was used as a reference flow cell to remove bulk shift changes from the binding signal.
Binding of human ACE2-Fc protein (Sino Biological) was tested using a threefold dilution series with concentrations ranging from 2.46 to 200 nM. The association and dissociation rates were each monitored for 60 and 300 s, respectively, at 30 µl min−1. The bound spike–ACE2 complex was regenerated from the anti-His antibody surface using 10 mM glycine pH 1.5. Blank buffer cycles were performed by injecting running buffer instead of human ACE2-Fc to remove systematic noise from the binding signal. The resulting data were processed and fit to a 1:1 binding model using Biacore Evaluation Software.
Pseudoviruses were produced in the vesicular stomatitis virus background, in which the native glycoprotein was replaced by that of SARS-CoV-2 and its variants, as previously described17. In brief, HEK293T cells were transfected with a spike expression construct with 1 mg ml−1 polyethylenimine and cultured overnight at 37 °C under 5% CO2, and then infected with vesicular stomatitis virus-G pseudotyped ΔG-luciferase (G*ΔG-luciferase, Kerafast) 1 day post-transfection. After 2 h of infection, cells were washed three times, changed to fresh medium and then cultured for around another 24 h before the supernatants were collected, clarified by centrifugation and aliquoted and stored at −80 °C for further use.
All viruses were first titrated to normalize the viral input between assays. Heat-inactivated sera or antibodies were first serially diluted (fivefold) in medium in 96-well plates in triplicate, starting at 1:100 dilution for sera and 10 µg ml−1 for antibodies. Pseudoviruses were then added and the virus–sample mixture was incubated at 37 °C for 1 h. Vero-E6 cells were then added at a density of 3 × 104 cells per well and the plates were incubated at 37 °C for about 10 h. Luciferase activity was quantified using the Luciferase Assay System (Promega) according to the manufacturer’s instructions using SoftMax Pro v.7.0.2 (Molecular Devices). Neutralization curves and IC50 values were derived by fitting a non-linear five-parameter dose-response curve to the data in GraphPad Prism v.9.2.
The SARS-CoV-2 viruses hCoV-19/USA/CO-CDPHE-2102544747/2021 (BA.2) and hCoV-19/USA/MD-HP30386/2022 (BA.4) were obtained from BEI Resources (NIAID, NIH) and propagated by passaging in Vero-E6 cells. Virus infectious titres were determined by an end-point dilution and cytopathogenic effect assay on Vero-E6 cells as previously described17.
An end-point dilution microplate neutralization assay was performed to measure the neutralization activity of sera from vaccinated and boosted individuals as well as of purified monoclonal antibodies. In brief, serum samples were subjected to successive fivefold dilutions starting from 1:100. Monoclonal antibodies were serially diluted (fivefold) starting at 5 μg ml−1. Triplicates of each dilution were incubated with SARS-CoV-2 at a multiplicity of infection of 0.1 in Eagle’s minumum essential medium with 7.5% inactivated foetal calf serum for 1 h at 37 °C. After incubation, the virus–antibody mixture was transferred onto a monolayer of Vero-E6 cells grown overnight. The cells were incubated with the mixture for around 70 h. Cytopathogenic effects of viral infection were visually scored for each well in a blinded manner by two independent observers. The results were then converted into the percentage of neutralization at a given sample dilution or monoclonal antibody concentration, and the data (mean ± s.e.m.) were plotted using a five-parameter dose-response curve in GraphPad Prism v.9.2.
The SARS-CoV-2 spike structure (PDB 6ZGE) used for showing epitope footprints was downloaded from the PDB. Epitope residues were identified using PISA36 with default parameters, and the RBD residues with non-zero buried accessible surface area were considered epitope residues. For each residue within the RBD, the frequency of antibody recognition was calculated as the number of contact antibodies37. The structures of antibody–spike complexes for modelling were also obtained from PDB (7L5B (2–15), 6XDG (REGN10933) and 7KMG (LY-CoV555)). Omicron BA.1 RB D in complex with hACE2 was downloaded from PDB 7U0N, and the ligand-free BA.2 RBD was downloaded from PDB 7UB0. PyMOL v.2.3.2 was used to perform mutagenesis and to generate structural plots (Schrödinger, LLC).
The antigenic distances between SARS-CoV-2 variants were approximated by incorporating the neutralization potency of each serum sample into a previously described antigenic cartography approach27. The map was generated by the Racmacs package (https://acorg.github.io/Racmacs/, v.1.1.4) in R with the optimization steps set to 2,000 and with the minimum column basis parameter set to ‘none’.
Further information on research design is available in the Nature Research Reporting Summary linked to this article.
All data are provided in the paper. Materials in this study will be made available under an appropriate Materials Transfer Agreement. Sequences for Omicron prevalence analysis were downloaded from the global initiative on sharing all influenza data (GISAID) (https://www.gisaid.org/). The structures used for analysis in this study are available from PDB under IDs 6ZGE, 7L5B, 6XDG, 7U0N, 7UB0 and 7KMG. The interactive antigenic map based on the neutralization data of boosted vaccine sera in Fig. 4d is available online (https://figshare.com/articles/media/OmicronAntigenicMap/19854046).
Khan, K. et al. Omicron sub-lineages BA.4/BA.5 escape BA.1 infection elicited neutralizing immunity. Preprint at medRxiv https://doi.org/10.1101/2022.04.29.22274477 (2022).
Centers for Disease Control and Prevention. COVID Data Tracker https://covid.cdc.gov/covid-data-tracker/#variant-proportions (CDC, 2022).
Barnes, C. O. et al. SARS-CoV-2 neutralizing antibody structures inform therapeutic strategies. Nature 588, 682–687 (2020).
Article ADS CAS Google Scholar
Shu, Y. & McCauley, J. GISAID: global initiative on sharing all influenza data—from vision to reality. Euro. Surveill. 22, 30494 (2017).
Article Google Scholar
Hansen, J. et al. Studies in humanized mice and convalescent humans yield a SARS-CoV-2 antibody cocktail. Science 369, 1010–1014 (2020).
Article ADS CAS Google Scholar
Zost, S. J. et al. Potently neutralizing and protective human antibodies against SARS-CoV-2. Nature 584, 443–449 (2020).
Article CAS Google Scholar
Jones, B. E. et al. The neutralizing antibody, LY-CoV555, protects against SARS-CoV-2 infection in nonhuman primates. Sci. Transl. Med. 13, eabf1906 (2021).
Article CAS Google Scholar
Shi, R. et al. A human neutralizing antibody targets the receptor-binding site of SARS-CoV-2. Nature 584, 120–124 (2020).
Article ADS CAS Google Scholar
Ju, B. et al. Human neutralizing antibodies elicited by SARS-CoV-2 infection. Nature 584, 115–119 (2020).
Article ADS CAS Google Scholar
Pinto, D. et al. Cross-neutralization of SARS-CoV-2 by a human monoclonal SARS-CoV antibody. Nature 583, 290–295 (2020).
Article ADS CAS Google Scholar
Westendorf, K. et al. LY-CoV1404 (bebtelovimab) potently neutralizes SARS-CoV-2 variants. Cell Rep. 39, 110812 (2022).
Article CAS Google Scholar
Rappazzo, C. G. et al. Broad and potent activity against SARS-like viruses by an engineered human monoclonal antibody. Science 371, 823–829 (2021).
Article ADS CAS Google Scholar
Li, D. et al. In vitro and in vivo functions of SARS-CoV-2 infection-enhancing and neutralizing antibodies. Cell 184, 4203–4219 e4232 (2021).
Article CAS Google Scholar
Tortorici, M. A. et al. Broad sarbecovirus neutralization by a human monoclonal antibody. Nature 597, 103–108 (2021).
Article ADS CAS Google Scholar
Sheward, D. J. et al. Structural basis of Omicron neutralization by affinity-matured public antibodies. Preprint at bioRxiv https://doi.org/10.1101/2022.01.03.474825 (2022).
Zhou, B. et al. A broadly neutralizing antibody protects Syrian hamsters against SARS-CoV-2 Omicron challenge. Nat. Commun. 13, 3589 (2022).
Liu, L. et al. Potent neutralizing antibodies against multiple epitopes on SARS-CoV-2 spike. Nature 584, 450–456 (2020).
Article CAS Google Scholar
Liu, L. et al. An antibody class with a common CDRH3 motif broadly neutralizes sarbecoviruses. Sci. Transl. Med. 14, eabn6859 (2022).
Article CAS Google Scholar
Cerutti, G. et al. Potent SARS-CoV-2 neutralizing antibodies directed against spike N-terminal domain target a single supersite. Cell Host Microbe 29, 819–833 e817 (2021).
Article CAS Google Scholar
Cerutti, G. et al. Neutralizing antibody 5-7 defines a distinct site of vulnerability in SARS-CoV-2 spike N-terminal domain. Cell Rep. 37, 109928 (2021).
Article CAS Google Scholar
Planas, D. et al. Reduced sensitivity of SARS-CoV-2 variant Delta to antibody neutralization. Nature 596, 276–280 (2021).
Article ADS CAS Google Scholar
Kimura, I. et al. The SARS-CoV-2 Lambda variant exhibits enhanced infectivity and immune resistance. Cell Rep. 38, 110218 (2022).
Article CAS Google Scholar
Liu, L. et al. Striking antibody evasion manifested by the Omicron variant of SARS-CoV-2. Nature 602, 676–681 (2022).
Article ADS CAS Google Scholar
Starr, T. N. et al. Shifting mutational constraints in the SARS-CoV-2 receptor-binding domain during viral evolution. Science 377, 420–424 (2022).
Geng, Q. et al. Structural basis for human receptor recognition by SARS-CoV-2 Omicron variant BA.1. J. Virol. 96, e0024922 (2022).
Article Google Scholar
Iketani, S. et al. Antibody evasion properties of SARS-CoV-2 Omicron sublineages. Nature 604, 553–556 (2022).
Article ADS CAS Google Scholar
Smith, D. J. et al. Mapping the antigenic and genetic evolution of influenza virus. Science 305, 371–376 (2004).
Article ADS CAS Google Scholar
Tuekprakhon, A. et al. Antibody escape of SARS-CoV-2 Omicron BA.4 and BA.5 from vaccine and BA.1 serum. Cell https://doi.org/10.1016/j.cell.2022.06.005 (2022).
Rössler, A. et al. BA.2 Omicron differs immunologically from both BA.1 Omicron and pre-Omicron variants. Preprint at medRxiv https://doi.org/10.1101/2022.05.10.22274906 (2022).
Cao, Y. et al. BA.2.12.1, BA.4 and BA.5 escape antibodies elicited by Omicron infection. Nature https://doi.org/10.1038/s41586-022-04980-y (2022).
Munoz-Fontela, C. et al. Animal models for COVID-19. Nature 586, 509–515 (2020).
Article ADS CAS Google Scholar
Chen, Y. et al. Emerging SARS-CoV-2 variants: why, how, and what’s next? Cell Insight 1, 100029 (2022).
Article Google Scholar
Wang, R. et al. Analysis of SARS-CoV-2 variant mutations reveals neutralization escape mechanisms and the ability to use ACE2 receptors from additional species. Immunity 54, 1611–1621 e1615 (2021).
Article CAS Google Scholar
Yu, J. et al. Neutralization of the SARS-CoV-2 Omicron BA.1 and BA.2 variants. N. Engl. J. Med. 386, 1579–1580 (2022).
Article Google Scholar
Wrapp, D. et al. Cryo-EM structure of the 2019-nCoV spike in the prefusion conformation. Science 367, 1260–1263 (2020).
Article ADS CAS Google Scholar
Krissinel, E. & Henrick, K. Inference of macromolecular assemblies from crystalline state. J. Mol. Biol. 372, 774–797 (2007).
Article CAS Google Scholar
Cerutti, G. et al. Structural basis for accommodation of emerging B.1.351 and B.1.1.7 variants by two potent SARS-CoV-2 neutralizing antibodies. Structure 29, 655–663 e654 (2021).
Article CAS Google Scholar
Download references
This study was supported by funding from the Gates Foundation, JPB Foundation, A. and P. Cherng, S. Yin, C. Ludwig, D. and R. Wu, Regeneron Pharmaceuticals and the NIH SARS-CoV-2 Assessment of Viral Evolution (SAVE) Program. We acknowledge D.S. Perlin for providing serum samples from a few patients with COVID-19. We thank all who contributed their data to GISIAD.
These authors contributed equally: Qian Wang, Yicheng Guo
Aaron Diamond AIDS Research Center, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
Qian Wang, Yicheng Guo, Sho Iketani, Manoj S. Nair, Zhiteng Li, Hiroshi Mohri, Maple Wang, Jian Yu, Anthony D. Bowen, Nadia Nguyen, Kathrine Meyers, Michael T. Yin, Magdalena E. Sobieszczyk, Zizhang Sheng, Yaoxing Huang, Lihong Liu & David D. Ho
Department of Microbiology and Immunology, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
Sho Iketani & David D. Ho
Division of Infectious Diseases, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, New York, NY, USA
Anthony D. Bowen, Jennifer Y. Chang, Jayesh G. Shah, Kathrine Meyers, Michael T. Yin, Magdalena E. Sobieszczyk & David D. Ho
AIDS Institute and Department of Microbiology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong Special Administrative Region, China
Zhiwei Chen
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
You can also search for this author in PubMed Google Scholar
D.D.H. and L.L. conceived this project. Q.W. and L.L. conducted pseudovirus neutralization experiments and purified SARS-CoV-2 spike proteins. Y.G. and Z.S. conducted bioinformatic analyses. Q.W., L.L. and S.I. constructed the spike expression plasmids. Q.W. managed the project. J.Y., M.W. and Z.C. expressed and purified antibodies. L.L. and Z.L. performed the SPR assay. M.T.Y., M.E.S., J.Y.C., A.D.B. J.G.S., N.N. and K.M. provided clinical samples. H.M. aided sample collections. M.S.N. and Y.H. performed infectious SARS-CoV-2 neutralization assays. D.D.H. and L.L. directed and supervised the project. Q.W., Y.G., L.L. and D.D.H. analysed the results and wrote the manuscript.
Correspondence to Lihong Liu or David D. Ho.
S.I, J.Y., Y.H., L.L. and D.D.H. are inventors on patent applications (WO2021236998) or provisional patent applications (63/271,627) filed by Columbia University for several SARS-CoV-2 neutralizing antibodies described in this paper. Both sets of applications are under review. D.D.H. is a cofounder of TaiMed Biologics and RenBio, consultant to WuXi Biologics and Brii Biosciences and board director for Vicarious Surgical.
Nature thanks Olivier Schwartz and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Data are shown as mean ± SEM from three technical replicates and representative of those obtained in two independent experiments.
Data are shown as mean ± SEM from three technical replicates and representative of those obtained in two independent experiments.
Data are shown as mean ± SEM from three technical replicates and representative of those obtained in two independent experiments.
Neutralization by a, boosted vaccinee sera on pseudoviruses. b, non-Omicron infection & vaccination sera on pseudoviruses. c, BA.1 breakthrough sera on pseudoviruses. d, BA.2 breakthrough sera on pseudoviruses. e, boosted vaccinee sera on authentic viruses. f, Neutralization ID50 titers of authentic BA.2 and BA.4 by boosted vaccinee sera. Values above the symbols denote the geometric mean ID50 values and values on the lower left show the sample size (n). P values were determined by using two-tailed Wilcoxon matched-pairs signed-rank tests. Error bars in a, b, c, d, and e denote mean ± SEM for three technical replicates. All data are representative of those obtained in two independent experiments.
Neutralization by a, boosted vaccinee sera. b, non-Omicron infection & vaccination sera. c, BA.1 breakthrough sera. d, BA.2 breakthrough sera. Error bars denote mean ± SEM for three technical replicates. Data are representative of those obtained in two independent experiments.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
Reprints and Permissions
Wang, Q., Guo, Y., Iketani, S. et al. Antibody evasion by SARS-CoV-2 Omicron subvariants BA.2.12.1, BA.4 and BA.5. Nature 608, 603–608 (2022). https://doi.org/10.1038/s41586-022-05053-w
Download citation
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1038/s41586-022-05053-w
Anyone you share the following link with will be able to read this content:
Sorry, a shareable link is not currently available for this article.
Provided by the Springer Nature SharedIt content-sharing initiative
Inflammation and Regeneration (2023)
BMC Public Health (2023)
Virology Journal (2023)
Cell & Bioscience (2023)
npj Vaccines (2023)
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.
Advertisement
© 2023 Springer Nature Limited
Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.