Abstract
The omicron variants of SARS-CoV-2 have substantial ability to escape infection- and vaccine-elicited antibody immunity. Here, we investigated the extent of such escape in nine convalescent patients infected with the wild-type SARS-CoV-2 during the first wave of the pandemic. Among the total of 476 monoclonal antibodies (mAbs) isolated from peripheral memory B cells, we identified seven mAbs with broad neutralizing activity to all variants tested, including various omicron subvariants. Biochemical and structural analysis indicated the majority of these mAbs bound to the receptor-binding domain, mimicked the receptor ACE2 and were able to accommodate or inadvertently improve recognition of omicron substitutions. Passive delivery of representative antibodies protected K18-hACE2 mice from infection with omicron and beta SARS-CoV-2. A deeper understanding of how the memory B cells that produce these antibodies could be selectively boosted or recalled can augment antibody immunity against SARS-CoV-2 variants.
Subject terms: Immunology, Structural biology
Zhang and colleagues perform functional, biochemical and structural analysis of a set of antibodies isolated from COVID-19 convalescents infected with wild-type SARS-CoV-2 during the first wave of the pandemic and show they have broad neutralizing activity against all SARS-CoV-2 variants tested, including omicron.
Main
The rapid emergence and turnover of SARS-CoV-2 variants of concern (VOCs) and progressive waning of antibody immunity have raised serious concerns that the current vaccine strategies based on the wild-type spike (S) protein would not be able to provide sufficient protection against the antigenically distinct VOCs, particularly in the case of omicron1–4. The omicron subvariants are the most efficient in transmission and have not only been associated with steeply increased new infections among unvaccinated individuals, but also with break-through infections among those vaccinated5–7. The exceptionally high number of mutations in the S protein of omicron has resulted in considerable antigenic shift from the wild-type and previously identified VOCs8–11 and renders strong capability to escape from neutralization of convalescent, vaccinated and hybrid immunized (convalescent/vaccinated or vaccinated/convalescent) individuals3,4,8,12. However, one of the major questions that remains to be answered is the extent of such escape and whether antibodies in the infected or vaccinated individuals can neutralize the VOCs identified so far. If such neutralizing antibodies (nAbs) do exist, it is important to identify their specific features and whether they could be selectively boosted by vaccines to confer broader and more sufficient protection against VOCs, particularly omicron subvariants.
The current work aimed to dissect the antibody repertoire of nine convalescent patients infected with the wild-type SARS-CoV-2, enrolled during the first wave of the COVID-19 pandemic. The naïve background of these individuals allowed us to evaluate the antibody imprint of the wild-type SARS-CoV-2 infection, as well as the immunological potential of these antibodies against subsequently emerged VOCs. We isolated and characterized a total of 476 mAbs from the peripheral memory B cells 16–111 d post symptom onset, and identified seven receptor-binding domain (RBD)-specific mAbs able to neutralize all variants tested, including omicron subvariants. Passive delivery of four representative antibodies of the broad nAbs (bnAbs) protected K18-hACE2 mice from infection with omicron or beta. Biochemical, structural and functional characterization of these bnAbs revealed unique as well as common features associated with their neutralizing breadth and potency.
Results
S2-binding mAbs dominate in B cell receptor repertoires
Using peripheral blood mononuclear cells (PBMCs) from nine convalescent individuals (P2, P5, P10, P43, P75, P104, P140, P186 and P195) collected during the early wave of the pandemic between January and April of 2020 (Supplementary Table 1), when only the wild-type SARS-CoV-2 was circulating13, we analyzed the memory B cell receptor repertoires specific to the wild-type S (SWT) trimer (Extended Data Fig. 1). We were able to obtain a total of 771 paired antibody heavy and light variable genes from flow cytometry-sorted single B cells. Once expressed in HEK 293T cells, 476 of the 771 antibodies bound to the recombinant SWT trimer (Fig. 1a). The number of such high-binding mAbs varied from patient to patient (Fig. 1b), perhaps due to variability in cell conditions and time points when samples were collected. Among the 476 mAbs, 214 (45%) were S2-specific, 132 (28%) were RBD-specific and 130 (27%) were either NTD-specific or targeting the quaternary epitopes that only exist in the form of SWT trimer14 (Fig. 1b and Extended Data Fig. 2). S2-specific mAbs tended to cross-react with the recombinant S trimer from SARS-CoV-1 and with only a few from MERS-CoV (Extended Data Fig. 2). In contrast, RBD-specific and the remaining mAbs were largely SARS-CoV-2-specific, with only a few cross-reacting with SARS-CoV-1 and even fewer with MERS-CoV (Extended Data Fig. 2). Thus, S2-binding mAbs dominated among the isolated 476 mAbs specific to the SARS-CoV-2 SWT trimer.
Broad and potent nAbs neutralize various SARS-CoV-2 variants
We next found that approximately 30% (40 of 132) of RBD-specific mAbs demonstrated neutralizing activity against wild-type SARS-CoV-2 pseudovirus, whereas this was detected for only 13% (17 of 130) of the other mAbs and less than 1% (1 of 214) of the S2-specific antibodies (Fig. 1c,d). Furthermore, through screening against a panel of 17 pseudoviruses bearing the S protein from the VOCs, including omicron subvariants and other variants under global surveillance, we were able to categorize the top 40 RBD-specific mAbs into five major groups based on their distinctive neutralizing breadth and potency (Fig. 2 and Extended Data Fig. 3). Group 1 included seven mAbs (P2-1B1, P5-1C8, P5S-2B10, P5S-2B6, P5-1H1, P5S-2A9 and P2S-2E9) capable of neutralizing the entire panel of pseudoviruses, despite some having a marked reduction in neutralization against omicron (Fig. 2). Among the seven group 1 mAbs, P5-1C8 demonstrated an extremely broad and potent neutralizing activity across all variants tested, while the rest of the mAbs were somewhat compromised in their neutralizing activity against omicron BA.1 (P5-1H1, P5S-2A9 and P2S-2E9), BA.2.75 (P5S-2B10 and P5S-2B6) or BA.4/5 (P2-1B1). Reduced neutralization against beta and gamma (P5S-2B6 and P5S-2A9) was perhaps due to the K417N/T, E484K and N501Y mutations1,15, while that against omicron subvariants was likely due to the constellation substitutions found in the RBD, such as S371L/F, S375F, N440K, G446S, N460K, E484A, F486V, Q493R, Q498R and N501Y. Epitope mapping through competition with five mAbs of known structure and epitope specificity (P2C-1F11, P2B-2F6, S309, REGN10933 and REGN10987) indicated five of the seven antibodies (P2-1B1, P5-1C8, P5S-2B10, P5S-2B6 and P5-1H1) strongly competed with P2C-1F11 (Fig. 2 and Extended Data Fig. 4), a typical class 1 antibody that binds to RBD through ACE2 mimicry. Four antibodies in group 1 (P5-1C8, P5S-2B10, P5S-2B6 and P5-1H1) used the immunoglobulin G heavy-chain variable (IGHV) germline region IGHV3-53, a disproportionately favored germline gene found in over 10% of RBD-specific nAbs16. The remaining two mAbs in group 1 (P5S-2A9 and P2S-2E9) competed either with P2B-2F6, a typical class 2 antibody, or with P2B-2F6 and S309, a typical class 3 antibody (Fig. 2 and Extended Data Fig. 4), suggesting they bound to the outer face of the RBD. All seven mAbs in group 1 contained minimal somatic mutations (0.00–3.51%) and had standard HCDR3 length (9–18 residues), which aligned well with previous reports17. These results indicate that infection with wild-type SARS-CoV-2 could generate broad and potent neutralizing mAbs that targeted multiple epitopes on RBD, although mimicking ACE2 binding to RBD with preferred usage of germline gene IGHV3-53 heavily dominated.
Group 2 to group 5 antibodies appeared to be specifically affected by the different VOCs and variants tested (Fig. 2). Before the emergence of omicron variants, group 2 antibodies had impressive neutralizing breadth and potency across all variants tested (Fig. 2). However, widespread mutations found on the RBD of omicron have facilitated escape from the neutralizing activity of this group of antibodies (Fig. 2). One antibody, P5S-3B11, failed to compete with any of the five representative mAbs used (Fig. 2), indicating its epitope was beyond the regions these antibodies recognized. Group 3 and group 4 antibodies, while maintaining some activity against omicron, were essentially uniform in competing with known antibodies (Fig. 2). Group 3 antibodies competed with P2C-1F11 and P2B-2F6, whereas group 4 antibodies competed with S309 and P2B-2F6 (Fig. 2). Such uniformity indicated the epitopes of group 3 and group 4 antibodies were rather focused, as opposed to those widely distributed found in group 2 antibodies (Fig. 2). As a result, a few mutations, such as K417N/T, E484K and N501Y found in beta and gamma and L452R and/or E484Q in delta plus, delta, epsilon and kappa, respectively, had led to severe reduction or complete loss of neutralization in group 3 and 4 antibodies. Two antibodies in group 3 (P186-2B1 and P186-1H2) and one in group 4 (P2-1D5) improved their neutralizing activity to some omicron subvariants relative to wild-type (D614G). Finally, group 5 antibodies were most vulnerable to the mutations found in VOCs and the other variants. While the majority of group 5 antibodies maintained neutralizing activity to the wild-type (D614G) and alpha, almost all of them failed to neutralize omicron subvariants, beta and gamma (Fig. 2). Close to 29% (4 of 14) and 50% (7 of 14) of group 5 antibodies lost their neutralizing activity to L452R- and E484K-containing variants, respectively (Fig. 2). Epitope mapping through competition also indicated the epitope distributions of group 5 antibodies were rather broad and diverse on the RBD (Fig. 2). Taken together, these results indicated that there was temporal and progressive loss of nAbs in convalescent patients as the new VOCs and variants continued to emerge and circulate in the population; however, antibodies such as those in group 1, which constituted about 18% (7 of 40) of the top RBD nAbs and 1.5% (7 of 476) of total S protein-binding antibodies, maintained broad and potent neutralizing activity.
bnAbs disproportionally favor IGHV3-53 germline
To characterize the genetic features of the five groups of RBD-specific nAbs, we analyzed their heavy and light chain repertories using the IMGT/V-QUEST program (http://www.imgt.org/IMGT_vquest/vquest). Similar to previous reports from naturally infected and vaccinated individuals16,18,19, IGHV3-53/66 were overrepresented among the total of 18 heavy chain families (25%; 10 of 40), whereas IGKV4-1 dominated in 8 kappa families (13%; 5 of 40) and IGLV1-40 dominated in 7 lambda families (15%; 6 of 40) (Fig. 3a,b and Supplementary Table 2). A preferred pairing between IGHV3-53/66 and IGKV1-9 and IGKV3-20 was identified and reached as high as 30% each among the total IGHV3-53/66 (Fig. 3b). When similar analysis was expanded to study all 476 SWT trimer-binding antibodies, dominance was found for germline gene IGHV3-30 (13%) among the total of 38 heavy chain families, IGKV3-20 (11%) among 22 kappa families and IGLV2-14 (8%) among 21 lambda families (Fig. 3c). Preferential pairing between IGHV3-30 and IGKV3-20 was found and reached as high as 28% among the IGHV3-30 family members (Fig. 3d), which were all S2-specific (Fig. 1b and Extended Data Fig. 2). Therefore, neutralizing and binding antibodies tended to target different regions of the S protein with rather distinct germline gene preference for heavy and light chains as well as a combination thereof.
bnAbs protect K18-hACE2 mice against omicron and beta
We next studied the protective potential of four antibodies in group 1 (P2-1B1, P5S-2B10, P5-1H1 and P2S-2E9) against infection with omicron BA.1 or beta variant in a model of SARS-CoV-2 infection in K18-hACE2 mice. In mice infected with omicron BA.1, 12 mice per group were intraperitoneally administered with P2-1B1, P5S-2B10 or P5-1H1 at a dose of 10 mg per kg body weight. In untreated controls, 12 mice were included for P2-1B1 whereas another 12 were shared by P5S-2B10 and P5-1H1. In mice infected with the beta variant, eight mice each received P2S-2E9 intraperitoneally at a dose of 10 mg per kg body weight or remained untreated. At 24 h later, all mice were intranasally challenged with 1.7 × 103 plaque-forming units (PFU) of omicron BA.1 or beta variant. Half of the mice in each group were monitored daily for body weight and survival for 14 d. The remaining half were analyzed for viral titers in the lungs and brain and underwent histopathological analysis on day 3 (omicron BA.1) or day 4 (beta) post infection.
In mice infected with omicron BA.1, those treated with P2-1B1, P5S-2B10 or P5-1H1 remained healthy, maintained body weight and survived infection, while 1 of 12 untreated control mice succumbed to disease on day 11 after challenge (Fig. 4a–c). P2-1B1 or P5S-2B10 treated mice had no detectable levels of live viruses in the lungs on day 3 post infection while untreated mice reached an average of 103 PFU per lung (Fig. 4d,e). P5-1H1 protected against disease and body weight loss (Fig. 4c), but had moderate effect on reducing viral load in the lungs, consistent with its reduced neutralizing activity against BA.1 in vitro (Fig. 4f). No detectable levels of live viruses were found in the brain in P2-1B1, P5S-2B10 or P5-1H1 treated or untreated mice (Fig. 4d–f). These results indicated that P2-1B1 and P5S-2B10 conferred stronger protection than P5-1H1 against omicron BA.1 infection in vivo via prophylactic interventions.
In mice infected with beta, P2S-2E9 treated mice remained healthy and survived infection for 14 d, while the untreated group exhibited progressive body weight loss from 3 to 5 d post infection and all succumbed to infection by 5 d post infection (Fig. 4g). No detectable levels of live viruses were found in the lungs or brain of P2S-2E9 treated mice on day 4 post infection (Fig. 4h). By contrast, substantial levels of live viruses were detected in the lungs and brain in three of four untreated mice analyzed (Fig. 4h).
Immunohistochemistry analysis on day 3 (omicron BA.1) post infection showed that the lung tissue of P2-1B1, P5S-2B10 or P5-1H1 treated mice remained intact, while the lung sections of untreated mice presented moderate damage and inflammation, with marked infiltration of inflammatory cells (Fig. 4i–k). In the P2S-2E9 group, no damage or pulmonary inflammation was found in lung tissues, while untreated mice showed severe inflammatory infiltrates and edema (Fig. 4l). Infected cells in the lung sections of mice were detected using an N protein-specific antibody (Fig. 4i–l). These results indicated the broad and potent neutralizing activity of bnAbs in vitro translated into strong protection in vivo.
Structural basis for bnAbs
We determined the crystal structures of four RBD–antibody complexes (P5S-2B10, P5-1H1, P2S-2E9 and P5S-3B11) and one cryo-electron microscopy (cryo-EM) structure of S–antibody complex (P2-1B1) (Extended Data Figs. 5–7). P5S-2B10 and P5-1H1 (group 1) bound to the wild-type RBD were determined at 2.88-Å and 2.79-Å resolution, and P2S-2E9 (group 1) and P5S-3B11 (group 2) bound to the beta RBD were determined at 2.20-Å and 3.20-Å resolution (Fig. 5a–d). P2-1B1 (group 1) bound to the omicron BA.1 S trimer was determined by cryo-EM with a resolution of 3.6 Å at the interface between P2-1B1 and RBD, allowing for model building and epitope mapping (Fig. 5e and Extended Data Figs. 6 and 7). Aligning and superimposing these five structures into one composite indicated that P5S-2B10, P5-1H1 and P2-1B1 exhibited a nearly identical binding pose to the top face of RBD, mimicking the binding mode of ACE2 (Fig. 5f). P2S-2E9 and P5S-3B11 targeted the outer face and inner face of RBD, respectively, distinct from the ACE2 binding site (Fig. 5f). P5S-2B10, P5-1H1 and P2-1B1 shared a similar binding mode with P2C-1F11, S2E12 and S2K146, three class 1 antibodies20–22 (Fig. 5f). P2S-2E9 bound to the region that overlapped with the epitopes of antibodies S309, LY-CoV1404 and REGN10987, which are typical class 3 or RBD-5 antibodies that bind to the solvent-exposed outer face of RBD20,23–26 (Fig. 5f). P5S-3B11, similar to DH1047, S2X259 and CR3022 (class 4 or RBD-7 antibodies), bound to the cryptic inner face of RBD26–29 (Fig. 5f).
We first analyzed the epitopes of P5S-2B10 and P5-1H1 revealed by X-ray crystallography with relatively high resolution compared with the epitope of P2-1B1 revealed by cryo-EM. P5S-2B10 and P5-1H1 had extensive overlaps in their epitopes (Fig. 5g,h). P5S-2B10 had a buried surface area of ~900 Å2 (21 residues), which was exclusively covered within the ~1,100-Å2 (28 residues) surface area buried by P5-1H1 (Fig. 5g). P5S-2B10 and P5-1H1 had extensive hydrophilic interactions with the wild-type RBD (Extended Data Fig. 8). At the binding interfaces, P5S-2B10 formed 26 hydrogen bonds and two salt bridges, whereas P5-1H1 had 23 hydrogen-bonding and one salt-bridge interaction with the RBD (Extended Data Fig. 8). The footprints of P5S-2B10 and P5-1H1 overlapped extensively with those of ACE2 and P2C-1F11, but remained rather different from other class 1 antibodies such as S2K146 and S2E12 (Fig. 5g,h). The omicron BA.1 had four substitutions (K417N, Q493R, N501Y and Y505H) in the P5S-2B10 epitope and six substitutions (K417N, Q493R, G496S, Q498R, N501Y and Y505H) in the P5-1H1 epitope (Fig. 5g). However, the overall binding capacity of P5S-2B10 or P5-1H1 to the surface-expressed omicron BA.1 S (SBA.1) protein was slightly higher or not affected by these substitutions, respectively, compared with that to the SWT protein (Extended Data Fig. 9).
Due to the relatively low resolution, the epitope of P2-1B1 could only be described in broad terms. The epitope buried a surface area of ~739 Å2 and contained ten residues (F456, Q474, A475, G476, N477, K478, G485, F486, N487 and Y489) (Fig. 5g). The P2-1B1 epitope contained two mutations (S477N and T478K) on the omicron BA.1 RBD, fewer than the four and six mutations in the epitopes of P5S-2B10 and P5-1H1 (Fig. 5g). In particular, the T478K substitution introduced a positively charged side chain and switched the electrostatic potential of this patch from neutral to positive (Extended Data Fig. 10). The P2-1B1 paratope surface interacting with the RBD K478 patch is negatively charged, and the electrostatic interaction is therefore expected to favor the binding of P2-1B1 to BA.1 RBD (Extended Data Fig. 10). As a result, the neutralizing activity of P2-1B1 against the BA.1 pseudovirus (12.1 ng ml−1) was slightly better than that of P5S-2B10 (18.5 ng ml−1), and was ~10-fold better than that of P5-1H1 (143.1 ng ml−1) (Fig. 2).
P2S-2E9 buried a surface area of ~770 Å2 and consisted of 15 residues on the solvent-exposed outer face of beta RBD (Fig. 5i). The omicron BA.1 had four substitutions (N440K, G446S, Q498R and N501Y) in the P2S-2E9 epitope (Fig. 5i), expected to affect at least 2 of the 13 hydrogen bonds at the binding interface (Extended Data Fig. 8). However, binding to the surface-expressed SBA.1 protein was not affected despite its reduced neutralization to BA.1 compared with that to wild-type D614G (Extended Data Fig. 9 and Fig. 2), suggesting the reduction in neutralization was likely a collective effect beyond binding alone. It is also possible that the enhanced binding of omicron variants to receptor ACE2 (5.5-fold to 18.4-fold) rendered their competitive advantage over P2S-2E9, and indirectly compromised the neutralizing activity of P2S-2E9 (Extended Data Fig. 9). The footprint of P2S-2E9 extensively overlapped with that of LY-CoV1404 but was rather distinctive from that of REGN10987 and S309 (Fig. 5h,i).
P5S-3B11 buried a surface area of ~810 Å2 and consisted of 14 residues on the cryptic inner face of beta RBD (Fig. 5j). Most of the omicron variants had two substitutions (S371L/F and S375F) in the P5S-3B11 epitope and were expected to affect 11 of the total 13 hydrogen bonds and salt bridges formed with RBD (Extended Data Fig. 8). As these mutations were located within the epitope, their impact on P5S-3B11 was more likely mediated through a direct rather than indirect fashion, similar to that found for P2S-2E9 (Extended Data Fig. 9 and Fig. 2). Many antibodies with similar epitopes to P5S-3B11, such as S2X259 and DH1047, were also compromised by substitutions found in omicron subvariants (Fig. 5h,j)3,5, largely due to the main-chain conformational change of the residing loop (Y369-C379) by triple S371L/S373P/S375F substitutions9,30. Overall, the structural basis for five representative bnAbs (P5S-2B10, P5-1H1, P2-1B1, P2S-2E9 and P5S-3B11) revealed the binding modes and potential mechanisms of action against SARS-CoV-2 variants.
Discussion
In this report, we dissected the antibody responses of nine convalescent patients enrolled during the first wave of the COVID-19 pandemic in early 2020. We provided strong and solid evidence of the existence of a small number (7 of 476) of SWT-specific antibodies with broad neutralizing activities against all variants tested, including omicron subvariants BA.1, BA.2, BA.2.12.1, BA.2.75, BA.3 and BA.4/5, despite marked reduction or complete loss of neutralizing activity in the overwhelming majority of the remaining mAbs. Of the seven antibodies in group 1, five bound to the receptor-binding motif surface mimicking that of ACE2 and belonged to the class 1/RBS-A/RBD-2 community antibodies15,16,20,26. Four of these five antibodies favored the usage of the germline region IGHV3-53, while one used IGHV1-69. The preferential use of IGHV3-53 has been well documented among convalescent, messenger RNA-vaccinated and convalescent vaccinated individuals16,18,19. Such common features suggest that the IGHV3-53-encoded antibodies possess unique biochemical and structural features rendering them naturally strong in binding and highly complementary in shape to the receptor-binding motif surface. However, additional features are required to achieve broad and potent neutralizing activity, as IGHV3-53 usage alone does not guarantee their full activity. The other two antibodies in group 1 bound to the outer surface of RBD and belonged to the class 2/RBS-C/RBD-4 community (P5S-2A9) or class 3/RBS-D/RBD-5 community (P2S-2E9)15,20,26.
Crystal or cryo-EM structural analysis indicated these antibodies maintained their neutralizing breadth and potency either through tolerating substitutions within or close to their epitopes (P2-1B1, P5-1H1 and P2S-2E9) or through inadvertently increasing their binding potency to the mutated epitopes (P5S-2B10). It is possible that some of the mutations in omicron subvariants changed the local structure of the epitope, allowing better exposure and accessibility for the nAbs. Similar enhanced activities to omicron subvariants have also been reported for antibodies isolated or tested by other groups5,10. P2S-2E9 extensively overlapped in the footprints of and shared the same germlines, IGHV2-5 and IGLV2-14, with LY-CoV1404, the parental antibody of Bebtelovimab by Eli Lilly, which was also isolated from an early convalescent patient and demonstrates exceptional neutralizing breadth and potency against all VOCs identified, including omicron subvariants5,9–11,24. A single intraperitoneal injection of representative antibodies P2-1B1, P5S-2B10 and P5-1H1 in class 1 and P2S-2E9 in class 3 as a prophylactic treatment protected mice from infection with the most antigenically divergent variants, omicron BA.1 and beta. These results indicated that natural infection with wild-type SARS-CoV-2 could generate broadly neutralizing and protective mAbs targeting to multiple regions of the RBD, including omicron subvariants.
It is expected that more antibodies similar to the ones identified here and those targeting other regions of the RBD will be identified as more studies continue to dig deeper into the antibody repertories in convalescent and vaccinated individuals. Among these bnAbs are the IGHV1-58 supersite antibodies and those targeting the most conserved cryptic inner face of the RBD of SARS-CoV-2 variants, as well as other sarbecoviruses (class 4/RBD-6/RBD-7)9,18,21,31. However, the latter antibodies would have to overcome substitutions such as S371L/F, S373P, S375F and T376A found in the omicron subvariants in this region to achieve broad and potent neutralizing activity3,5,8,9. Nevertheless, identification of broadly neutralizing and protective antibodies in naturally infected individuals highlights the broad and diverse nAb repertoire established and imprinted by the wild-type SARS-CoV-2 infection3–5,8,32. Particularly, it also points to the RBD as a viable and critical target to induce a broad and protective response against VOCs, as recently demonstrated by several RBD-based vaccine strategies either in the form of a trimer or nanoparticles33–35. While studies on booster immunity are ongoing, it is reasonable to speculate that the broad and potent antibodies identified here and elsewhere in convalescent patients likely contribute to the hybrid immunity augmented by the vaccine booster among previously infected and recovered patients36–40. While these antibodies could serve as promising candidates for the development of next-generation antibody therapies, a deeper understanding of how the memory B cells producing these antibodies are initially induced, maintained and recalled will hold the key to rational design of vaccines capable of selectively boosting such desirable antibodies against SARS-CoV-2 variants and beyond.
While selectively boosting and recalling antibody response is practically challenging, several strategies are being proposed and evaluated in the field. Among these, a germline targeting strategy is being tested for HIV-1 vaccines (426c and eOD-GT8) to selectively target the antibody germline IGHV1-2 to induce VRC01-like antibodies, which showed broadly neutralizing activities against a diverse panel of HIV-1 variants around the world41–44. Analogously, designing SARS-CoV-2 antigens to target the germline IGHV3-53 or IGHV2-5 would be expected to stimulate the type of rare but broadly neutralizing antibodies found in the current study. Glycan engineering is another strategy being tested to reduce the immunogenicity of regions outside the conserved epitopes. This could be achieved through the addition of N-linked glycan and/or polyethylene glycol (PEG). Particularly, as the N-linked glycosylation motif (Asn-X-Ser/Thr) can be introduced into the spike or RBD of SARS-CoV-2, glycan silencing could be precisely designed to shield unwanted epitopes, while improving the exposure of desirable epitopes for broadly neutralizing antibodies45–49. Finally, as our understanding of the structure of antigens and immunity to antigens improves, it will provide additional concepts and technologies to selectively target and amplify the type of broadly neutralizing antibodies identified here.
Methods
Study approval, convalescent patients and blood samples
The study was approved by the Research Ethics Committee of Shenzhen Third People’s Hospital, China (approval no.: 2020-084). The research was conducted in strict accordance with the rules and regulations of the Chinse government for the protection of human subjects. All participants had provided written, informed consents for sample collection and subsequent analysis. Detailed information of participants in this study is provided in Supplementary Table 1. The study enrolled a total of nine patients aged 32–73 yr and recovered from infection with wild-type SARS-CoV-2 in January 2020. Of these, three (P2, P5 and P10) once developed severe pneumonia whereas the remaining six (P43, P75, P104, P140, P186 and P195) only had mild symptoms during hospitalization at Shenzhen Third People’s Hospital. P2 and P5 donated their blood samples twice and the remaining patient once during a 16–111-d recovery period post symptom onset. According to the policies at that time, local patients with COVID-19 were given free treatments and follow-up visits. The collected blood samples were separated into plasma and PBMCs through Ficoll-Hypaque density gradient centrifugation. The plasma samples were heat-inactivated at 56 °C for 1 h and stored at −80 °C, whereas the PBMCs were maintained in freezing media and stored in liquid nitrogen until use.
Production of pseudoviruses and neutralizing assay
The wild-type pseudovirus used throughout the analysis was the wild-type strain (GenBank: MN908947.3) or had a D614G mutation (D614G). The alpha variant (Pango lineage B.1.1.7, GISAID: EPI_ISL_601443) included a total of nine reported mutations in the S protein (del69-70, del144, N501Y, A570D, D614G, P681H, T716I, S982A and D1118H). The beta variant (Pango lineage B.1.351, GISAID: EPI_ISL_700450) included ten identified mutations in the spike (L18F, D80A, D215G, del242-244, S305T, K417N, E484K, N501Y, D614G and A701V). The gamma variant (Pango lineage P.1, GISAID: EPI_ISL_792681) had 12 reported mutations in the spike (L18F, T20N, P26S, D138Y, R190S, K417T, E484K, N501Y, D614G, H655Y, T1027I and V1176F). The delta variant (Pango lineage B.1.617.2, GISAID: EPI_ISL_1534938) included ten reported mutations in the spike (T19R, G142D, del156-157, R158G, A222V, L452R, T478K, D614G, P681R and D950N). The delta plus variant (Pango lineage AY.x, GISAID: EPI_ISL_ 3019629) had one more mutation, K417N, than the delta variant. The epsilon variant (Pango lineage B.1.429, GISAID: EPI_ISL_2922315) included S13I, W152C, L452R and D614G in the spike. The kappa variant (Pango lineage B.1.617.1, GISAID: EPI_ISL_1384866) included T95I, G142D, E154L, L452R, E484Q, D614G, P681R and N1071H in the spike. The mu variant (Pango lineage B.1.621, GISAID: EPI_ISL_3987640) included T95I, Y144T, Y145S, ins146N, R346K, E484K, N501Y, D614G, P681H and D950N in the spike. The eta variant (Pango lineage B.1.525, GISAID: EPI_ISL_2885901) included Q52R, A67V, del69-70, del144, E484K, D614G, Q677H and F888L in the spike. The iota variant (Pango lineage B.1.526, GISAID: EPI_ISL_2922249) included L5F, T95I, D253G, E484K, D614G and A701V in the spike. The omicron BA.1 variant (Pango lineage BA.1, GISAID: EPI_ISL_6752027) was constructed with 34 mutations in the spike (A67V, del69-70, T95I, G142D, del143-145, del211, L212I, ins214EPE, G339D, S371L, S373P, S375F, K417N, N440K, G446S, S477N, T478K, E484A, Q493R, G496S, Q498R, N501Y, Y505H, T547K, D614G, H655Y, N679K, P681H, N764K, D796Y, N856K, Q954H, N969K and L981F). The omicron BA.2 variant (Pango lineage BA.2, GISAID: EPI_ISL_8515362) was constructed with 29 mutations in the spike (T19I, del24-26, A27S, G142D, V213G, G339D, S371F, S373P, S375F, T376A, D405N, R408S, K417N, N440K, S477N, T478K, E484A, Q493R, Q498R, N501Y, Y505H, D614G, H655Y, N679K, P681H, N764K, D796Y, N969K and Q954H). BA.2.12.1 spike was constructed based on BA.2 with additional L452Q and S704. BA.2.75 spike was constructed based on BA.2 with additional W152R, F157L, I210V, G257S, D339H, G446S, N460K and Q493R (reversion). The omicron BA.3 variant (Pango lineage BA.3, GISAID: EPI_ISL_7740765) was constructed with 30 mutations in the spike (A67V, del69-70, T95I, G142D, del143-145, del211, L212I, G339D, S371F, S373P, S375F, D405N, K417N, N440K, G446S, S477N, T478K, E484A, Q493R, Q498R, N501Y, Y505H, D614G, H655Y, N679K, P681H, N764K, D796Y, Q954H and N969K). The omicron BA.4 variant (Pango lineage BA.4, GISAID: EPI_ISL_12559461) was constructed with 32 mutations in the spike (T19I, del24-26, A27S, del69-70, G142D, V213G, G339D, S371F, S373P, S375F, T376A, D405N, R408S, K417N, N440K, G446S, L452R, S477N, T478K, E484A, F486V, Q498R, N501Y, Y505H, D614G, H655Y, N679K, P681H, N764K, D796Y, Q954H and N969K). BA.4 and BA.5 shared the same amino acid sequence in the spike. The full-length genes of spike variants were synthesized by Genwiz and verified by sequencing.
Pseudoviruses were generated by cotransfecting HEK 293T cells (ATCC) with human immunodeficiency virus backbones expressing firefly luciferase (pNL4-3-R-E-luciferase) and pcDNA3.1 vector encoding either wild-type or variant S proteins51,52. Viral supernatant was collected 48 h or 72 h later, centrifuged to remove cell lysis and stored at −80 °C until use. Viral infectious titers were measured by luciferase activity in the HeLa-hACE2 cells using Bright-Glo Luciferase Assay Vector System (Promega). Berthold Centro LB 960 was used for measuring luciferase activity. Neutralization assays were performed by incubating pseudoviruses with serial dilutions of heat-inactivated plasma or purified mAbs at 37 °C for 1 h. Approximately 1.5 × 104 per well of HeLa-hACE2 cells were then added in duplicate to the above virus–antibody mixture. At 48 h later, the half-maximal inhibitory dilution of plasma (ID50) or concentration of the mAbs (IC50) was determined by luciferase activity using GraphPad Prism 8.3 (GraphPad Software). HeLa-hACE2 cells were kindly provided by Q. Ding at the Center for Infectious Research of Tsinghua University.
Plasma and antibody binding analyzed by ELISA
The recombinant S, S1, RBD and S2 proteins derived from the wild-type SARS-CoV-2, and S1 proteins or S proteins of SARS-CoV-1 and MERS-CoV (Sino Biological), were diluted to final concentrations of 0.5 or 2 μg ml−1, coated onto 96-well plates and incubated overnight at 4 °C. The plates were washed with PBS-T (PBS containing 0.05% Tween 20) and blocked with blocking buffer (PBS containing 5% skim milk and 2% BSA) at room temperature for 1 h. Serially diluted plasma samples or mAbs were added to the plates and incubated at 37 °C for 1 h. After extensive washing, the plates were then incubated with secondary anti-human IgG labeled with HRP (1:5,000 dilution) (ZSGB-BIO) at 37 °C for 30 min or 1 h before incubation with TMB substrate (Kinghawk) at room temperature for 5 min or 20 min. Optical density was measured by a spectrophotometer at 450 nm.
Isolation of SWT-specific single B cells by FACS
SARS-CoV-2 SWT-specific B cells were sorted as previously described53,54. In brief, PBMCs from convalescent individuals were collected and incubated with an antibody and recombinant SWT trimer cocktail for identification of SWT-specific B cells. The cocktail consisted of CD19-PE-Cy7 (1:50 dilution), CD3-Pacific Blue (1:50 dilution), CD8-Pacific Blue (1:25 dilution), CD14-Pacific Blue (1:50 dilution), CD27-APC-H7 (1:25 dilution), IgG-FITC (1:12.5 dilution) (or IgM−PerCP-Cy5.5 (1:50 dilution), IgD−PE-CF594 (1:25 dilution)) (BD Biosciences) and recombinant SWT-Strep or SWT-His purified in our laboratory. Three consecutive staining steps were conducted. The first was using a LIVE/DEAD Fixable Dead Cell Stain Kit (Invitrogen) to exclude the dead cells. The second was mixing with an antibody and recombinant SWT trimer cocktail to identify SWT-specific B cells. The third was to target the recombinant SWT trimer captured on the surface of B cells by either Streptavidin-APC (eBioscience) or anti-his-APC/PE antibodies (1:25 dilution) (Abcam). The stained cells were thoroughly washed and resuspended in PBS before being strained through a 70-μm cell mesh (BD Biosciences). SARS-CoV-2 SWT-specific single B cells were gated as either CD19+CD3−CD8−CD14−CD27+IgG+SWT+ or CD19+CD3−CD8−CD14−IgM−IgD−SWT+ and sorted (BD Aria II) into the 96-well PCR plates containing 20 μl of lysis buffer (5 μl of 5 × first strand buffer, 0.5 μl of RNaseOUT, 1.25 μl of 0.1 M dithiothreitol (Invitrogen) and 0.0625 μl of Igepal (Sigma) per well). Plates were then snap-frozen on dry ice and stored at −80 °C until the reverse transcription reaction.
Single B cell PCR, cloning and expression of mAbs
The IgG heavy and light chain variable genes were amplified by nested PCR and cloned into linear expression cassettes to produce full IgG1 antibodies as previously described54,55. Specifically, all second round PCR primers containing tag sequences were used to produce the linear immunoglobulin expression cassettes by overlapping PCR. Meanwhile, the variable genes of heavy and light chain were sequenced, synthesized and then cloned into the backbone of antibody expression vectors containing the constant regions of human IgG1 by GenScript56. Overlapping PCR products of paired heavy and light chain expression cassettes were cotransfected into the HEK 293T cells (ATCC) to produce antibodies for binding analysis. Large quantities of mAbs were produced by transient transfection of 293F cells (Life Technologies) with equal amounts of paired heavy and light chain plasmids. Antibodies in the culture supernatant were purified by affinity chromatography using Protein A bead columns (GE Healthcare) and their concentrations were determined by a NanoDrop2000 (Thermo Scientific).
Gene family usage and recombination analysis of mAbs
The IMGT/V-QUEST program (http://www.imgt.org/IMGT_vquest/vquest) was used to analyze the germline gene, degree of somatic hypermutation, framework region and the loop lengths of complementarity determining region 3 (CDR3) of each antibody. Chord diagrams showing the germline gene usages of paired heavy and light chain were analyzed and presented by the R package circlize v.0.4.14. The width of the linking arc is proportional to the number of antibodies identified.
Epitope mapping by competition surface plasmon resonance
For epitope mapping, two different mAbs were sequentially injected and monitored for binding activity to determine whether the two mAbs recognized separate or closely situated epitopes. To determine competition with the human ACE2, antibodies (1 μM) were injected onto the RBD-immobilized CM5 chip until the binding steady-state was reached. ACE2 (2 μM) was then injected for 60 s. Blocking efficacy was determined by comparison of response units with and without previous antibody incubation. Biacore 8K Control Software v.3.0.12.15655 was used for binding competition studies.
Crystallization and data collection
The SARS-CoV-2 RBD and the Fab fragment were mixed at a molar ratio of 1:1.2, incubated at 4 °C for 2 h and further purified by gel-filtration chromatography. The purified complex concentrated to approximately 10–15 mg ml−1 in HBS buffer (10 mM HEPES, pH 7.2, 150 mM NaCl) was used for crystallization. The screening trials were performed at 18 °C using the sitting-drop vapor-diffusion method by mixing 0.2 μl of protein with 0.2 μl of reservoir solution. Crystals of P5S-2B10 Fab and RBD complex were successfully obtained in 0.2 M magnesium sulfate heptahydrate, 17% w/v PEG 3350, whereas P5-1H1 Fab and RBD complex was obtained in 2% v/v Tacsimate pH 5.0, 0.1 M sodium citrate tribasic dihydrate pH 5.4 and 13% w/v PEG 3350. P2S-2E9 Fab and RBD complex was obtained in 15% v/v 2-Propanol, 0.1 M sodium citrate tribasic dihydrate pH 4.8, 11% w/v PEG 10000, and P5S-3B11 Fab and RBD complex in 0.05 M citric acid pH 4.4, 0.05 M BIS-TRIS propane, 16% w/v PEG 3350. All crystals were collected, soaked briefly in mother liquid with 20% glycerol and flash-frozen in liquid nitrogen. Diffraction data were collected at a wavelength of 0.987 Å on the BL18U1 beam line of the Shanghai Synchrotron Research Facility and processed by HKL2000. The data processing statistics are listed in Extended Data Fig. 5.
Structure determination and refinement
The structure was determined by the molecular replacement method with PHASER in CCP4 suite 7.1.007 (ref. 57). The search models were the SARS-CoV-2 RBD structure (PDB: 6M0J) and the structures of the variable domains of the heavy and light chains available in the PDB with the highest sequence identities. Subsequent model building and refinement were performed using COOT v.0.9.2 and PHENIX v.1.18.2, respectively58,59. The structural refinement statistics are listed in Extended Data Fig. 5. All structural figures were generated using PyMOL 2.0 and Chimera v.1.15.
Cryo-EM structural determination
Aliquots of complexes (4 μl, in buffer containing 20 mM Tris, pH 8.0, and 150 mM NaCl) of SARS-CoV-2 BA.1 S ectodomains (2 mg ml−1) and P2-1B1 Fab were applied to glow-discharged holey carbon grids (Quantifoil grid, Cu 300 mesh, R1.2/1.3). Fab fragments were mixed with SARS-CoV-2 S trimer at a molar ratio of 1.2:1. The grids were then blotted for 3 s and immediately plunged into liquid ethane using Vitrobot Mark IV (Thermo Fisher Scientific). The cryo-EM data of complexes were collected by the FEI Titan Krios microscope (Thermo Fisher Scientific) at 300 kV with a Gatan K3 Summit direct electron detector (Gatan) at Tsinghua University. In total, 2,628 movies were collected by SerialEM version 4.0.4, with a magnification of 29,000 and defocus range between −1.3 and −1.5 μm. Each movie has a total accumulated exposure of 50 e− Å−2 fractionated in 32 frames of 2.13-s exposure. The stacks were binned twofold, resulting in a pixel size of 0.97 Å per pixel. Motion correction (MotionCor2 v.1.2.6), CTF estimation (GCTF v.1.18) and nontemplated particle picking (Gautomatch v.0.56; http://www.mrc-lmb.cam.ac.uk/kzhang/) were automatically executed using the TsingTitan.py program60,61. Sequential data processing was carried out with cryoSPARC v.3.3.1 (refs. 62,63). The initial models of SARS-CoV-2 BA.1 RBD (PDB: 7WHH) and P2-1B1 Fab were fitted to the map using UCSF Chimera v.1.15 (ref. 64). Manual model rebuilding was carried out with COOT v.0.9.2 and refined with PHENIX v.1.18.2 real-space refinement. The quality of the final model was analyzed by PHENIX v.1.18.2. The validation statistics of the structural models are summarized in Extended Data Fig. 7. All structural figures were generated using PyMOL 2.0 and Chimera v.1.15.
Binding of mAbs to cell-surface-expressed S proteins
The entire procedure was conducted as previously published51,52,65. Specifically, HEK 293T cells were transfected with expression plasmids encoding either wild-type or omicron variant S proteins, and incubated at 37 °C for 36 h. Cells were digested from the plate with trypsin and distributed onto 96-well plates. Cells were washed twice with 200 µl of staining buffer (PBS with 2% heated-inactivated FBS) between each of the following steps. First, cells were stained with each antibody (1 μg ml−1), or ACE2 (1 μg ml−1), or S2-specific mAb (1 μg ml−1) (1:200 dilution) (MP Biomedicals) at 4 °C for 30 min. PE-labeled anti-human IgG Fc (1:40 dilution; BioLegend), anti-his PE secondary antibody (1:200 dilution; Miltenyi) or anti-mouse IgG FITC (1:200 dilution; Thermo Fisher Scientific) was added and incubated at 4 °C for 30 min. After extensive washes, the cells were resuspended and analyzed with BD LSRFortessa (BD Biosciences) and FlowJo 10 software (FlowJo). HEK 293T cells with mock transfection were stained as background control. Fold changes in antibody binding were calculated by the ratio of the total fluorescence intensity (TFI) of omicron over wild-type, normalized by that of S2-specific antibody (nTFI). TFI was calculated by multiplying the mean fluorescence intensity (MFI) and the number of positive cells in the selected gates. For example, the fold change in BA.1 of P5S-2B10 was calculated by the following formula: fold change = (BA.1 of TFI/BA.1 of nTFI)/(wild-type of TFI/wild-type of nTFI). TFI = MFI × subset frequency.
Antibody protection in hACE2 transgenic mice
Mouse experiments were performed in a Biosafety Level 3 (BSL-3) facility in accordance with the National University of Singapore (NUS) Institutional Animal Care and Use Committee (protocol no. R20-0504), and the NUS Institutional Biosafety Committee and NUS Medicine BSL-3 Biosafety Committee approved SOPs. As previously described66, 8-week-old female K18-hACE2 transgenic mice (InVivos) were utilized for this study. The mice were housed and acclimatized in a BSL-3 facility for 72 h before the start of the experiment. The housing conditions were 23 ± 2 °C (high/low temperature), 50 ± 10% (high/low humidity) and 12-h light/12-h dark (light cycle). K18-hACE2 transgenic mice were subjected to P2-1B1, P5S-2B10, P5-1H1 or P2S-2E9 (10 mg kg−1) delivered through intraperitoneal injection a day before infection or left untreated. P5S-2B10 and P5-1H1 experiments shared a group of untreated mice. The viral challenge was conducted through intranasal delivery in 25 μl of 1.7 × 103 PFU of the infectious SARS-CoV-2 omicron BA.1 or beta variant. Body weights were measured before infection as baseline and monitored daily throughout the following 14 d. Mice were euthanized when their body weight fell below 80% of their baseline body weight. Some of the mice from each experimental group were killed at 3 d for omicron BA.1 or 4 d for the beta variant post infection, and lung and brain tissues were collected. Each organ was halved for the plaque assay and histology analysis, respectively.
For virus titer determination, supernatants from homogenized tissues were tenfold serially diluted in DMEM supplemented with antibiotic and antimycotic, and added to A549-hACE2 cells (omicron virus) or Vero E6 cells (beta virus) in 12-well plates. The inoculum was removed after 1 h of incubation for virus adsorption. Cells were washed once with PBS before 1.2% MCC-DMEM overlay medium was added to each well. Then cells were incubated at 37 °C, 5% CO2 for 72 h for plaque formation. Cells were fixed in 10% formalin overnight and counterstained with crystal violet. The number of plaques was determined and the virus titers of individual samples were expressed as logarithm of PFU per organ.
For histopathological analyses, lung lobes were fixed in 3.7% formaldehyde solution before removal from BSL-3 containment. Tissues were routinely processed, embedded in paraffin blocks (Leica Surgipath Paraplast), sectioned at 4-μm thickness and stained with hematoxylin and eosin (Thermo Scientific) following standard histological procedures. For immunohistochemistry, the sections were deparaffinized and rehydrated, followed by heat-mediated antigen retrieval, quenching of endogenous peroxidases and protein blocking. Sections were then covered with rabbit anti-SARS-CoV-2 N protein mAb (Abcam, 1:1,000 dilution) for 1 h at room temperature. Subsequently, sections were incubated with rabbit-specific HRP polymer secondary antibody (Abcam, no dilution), visualized using chromogenic substrate DAB solution (Abcam) and counterstained with hematoxylin.
Data reporting
No statistical methods were used to predetermine sample sizes but our sample sizes are similar to those reported in previous publications. The sample size of nine COVID-19 convalescent patients is sufficient for isolating nAbs in the field (PMID: 32454513 and PMID: 32698192). For animal experiments, the number of mice for the in vivo protection assay in each group was 4–6, which is acceptable in the field (PMID: 33657424 and PMID: 33431856). Data distribution was assumed to be normal but this was not formally tested. The experiments for antibody isolation from COVID-19 convalescents were not randomized. Mice in antibody protection experiments were randomly divided into treated and untreated groups. Data collection and analysis were not performed blind to the conditions of the experiments. No animals or data points were excluded.
Reporting summary
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
Online content
Any methods, additional references, Nature Portfolio reporting summaries, source data, extended data, supplementary information, acknowledgements, peer review information; details of author contributions and competing interests; and statements of data and code availability are available at 10.1038/s41590-023-01449-6.
Supplementary information
Acknowledgements
We acknowledge the work and contribution of all the health care providers from Shenzhen Third People’s Hospital. We also thank patients for their active participation. We thank the NUS Yong Loo Lin School of Medicine BSL-3 Core Facility for their support with this work. We thank C.-K. Mok in assisting with the initial omicron variant isolation and the animal study. We also thank L. Wang from Duke-NUS Medical School for kindly providing the A549 lung carcinoma cell line expressing human ACE2 (A549-hACE2). This study was funded by the National Key Plan for Scientific Research and Development of China (grant no. 2021YFC0864500 to L.Z., grant no. 2022YFC2604103 to X.S., grant no. 2022YFC2303403 to Q.Z., grant no. 2022YFF1203100 to L.Z. and grant no. 2021YFC2300104 to X.W.), the National Natural Science Foundation (grant no. 92169205 to L.Z., grant nos. 82150205 and 32270983 to Q.Z., grant no. 92169204 to Z.Z., grant nos. 82002140 and 82171752 to B.J. and grant no. 32171202 to X.W.), the Wanke Scientific Research Program (grant no. 20221080056 to L.Z.), the Tencent Foundation (L.Z.), the Shuidi Foundation (L.Z.), TH Capital (L.Z.), the National Science Fund for Distinguished Young Scholars (grant no. 82025022 to Z.Z.), the Guangdong Basic and Applied Basic Research Foundation (grant nos. 2021B1515020034 and 2019A1515011197 to B.J.), the Shenzhen Science and Technology Program (grant no. RCYX20200714114700046 to B.J.), the Science and Technology Innovation Committee of Shenzhen Municipality (grant nos. JSGG20220226085550001, JSGG20200207155251653 and JSGG20210901145200002 to Z.Z.), the Shenzhen Natural Science Foundation (grant no. JCYJ20190809115617365 to B.J., grant no. JCYJ20200109144201725 to Z.Z.), the Singapore National Medical Research Council Centre Grant Program (grant no. CGAug16M009 to J.J.H.C.), grant no. NUHSRO/2020/066/NUSMedCovid/01/BSL3 Covid Research Work (J.J.H.C.), grant no. NUHSRO/2020/050/RO5+5/NUHS-COVID/4 (J.J.H.C.), the Ministry of Education (J.J.H.C.), Singapore grant no. MOE2017-T2-2-014 (J.J.H.C.) and the Singapore Ministry of Health grant no. MOH-COVID19RF2-0001 (J.J.H.C.). The funders had no role in study design, data collection, data analysis, data interpretation or writing of the report.
Extended data
Source data
Author contributions
L.Z., Z.Z., X.W. and J.J.H.C. conceived and designed the study. B.J., Q.Z., Z.W., Z.Q.A. and P.C. performed most of the experiments and analyzed data together with B.Z., R.W., X.G., Q.L., L.C., R.Z., Y.H.W., H.C., H.W., S.S., X.L., X.S. and L.L. B.J., B.Z. and X.G. performed single B cell sorting and antibody isolation. Q.Z. and Q.L. performed the pseudovirus neutralization assays. B.J. and X.G. measured the binding specificity of plasma samples and monoclonal antibodies by ELISA. Z.W. and Q.Z. performed the antibody structural studies. Z.Q.A., Y.H.W. and H.C. executed the animal protection studies. Q.Z. and P.C. analyzed antibody competition by SPR and cell staining assays. L.C. detected the neutralization of plasma samples against wild-type SARS-CoV-2 pseudovirus. R.W. and R.Z. constructed the SARS-CoV-2 pseudovirus panel. S.S. and X.S. participated in animal studies and data analysis. X.L. and L.L. had critical roles in recruitment and clinical management of the study subjects. H.W. and X.L. were in charge of sample collection and processing. B.J., Q.Z., Z.W., Z.Q.A., P.C., J.J.H.C., X.W., Z.Z. and L.Z. had full access to data in the study, generated figures and tables, and take responsibility for the integrity and accuracy of the data presentation. L.Z., Z.Z., X.W. and J.J.H.C. participated in discussion of the results and wrote the manuscript. All authors read and approved this version of manuscript.
Peer review
Peer review information
Nature Immunology thanks Tongqing Zhou and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Primary Handling Editor: Ioana Visan, in collaboration with the Nature Immunology editorial team.
Data availability
Structure coordinates have been deposited in the Protein Data Bank under accession codes 7XSC (P5S-2B10:WT-RBD), 7XS8 (P5-1H1:WT-RBD), 7XSA (P2S-2E9:Beta-RBD) and 7XSB (P5S-3B11:Beta-RBD). Sequences of 40 RBD-specific mAbs have been provided in Supplementary Table 2. All data generated or analyzed during this study are available within the paper and the Supplementary Information files. Source data are provided with this paper.
Competing interests
Patent applications have been filed that cover some of the antibodies presented here (patent application nos. 202310046052.1, 202310046053.6, 202310046054.0, 202310046051.7, 202310046056.X, 202310107070.6, 202310130257.8, 202310050519.X, 202310118826.7, 202310050250.5, 202310050475.0 and 202310050170.X). L.Z., Z.Z., Q.Z., B.J., P.C., B.Z. and X.S. are the inventors. The other authors declare no competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors contributed equally: Bin Ju, Qi Zhang, Ziyi Wang, Zhen Qin Aw, Peng Chen.
Contributor Information
Justin Jang Hann Chu, Email: miccjh@nus.edu.sg.
Xinquan Wang, Email: xinquanwang@tsinghua.edu.cn.
Zheng Zhang, Email: zhangzheng1975@aliyun.com.
Linqi Zhang, Email: zhanglinqi@tsinghua.edu.cn.
Extended data
is available for this paper at 10.1038/s41590-023-01449-6.
Supplementary information
The online version contains supplementary material available at 10.1038/s41590-023-01449-6.
References
- 1.Wang P, et al. Antibody resistance of SARS-CoV-2 variants B.1.351 and B.1.1.7. Nature. 2021;593:130–135. doi: 10.1038/s41586-021-03398-2. [DOI] [PubMed] [Google Scholar]
- 2.Planas D, et al. Reduced sensitivity of SARS-CoV-2 variant Delta to antibody neutralization. Nature. 2021;596:276–280. doi: 10.1038/s41586-021-03777-9. [DOI] [PubMed] [Google Scholar]
- 3.Liu L, et al. Striking antibody evasion manifested by the Omicron variant of SARS-CoV-2. Nature. 2021;602:676–681. doi: 10.1038/s41586-021-04388-0. [DOI] [PubMed] [Google Scholar]
- 4.Cameroni E, et al. Broadly neutralizing antibodies overcome SARS-CoV-2 Omicron antigenic shift. Nature. 2022;602:664–670. doi: 10.1038/s41586-021-04386-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Iketani S, et al. Antibody evasion properties of SARS-CoV-2 Omicron sublineages. Nature. 2022;604:553–556. doi: 10.1038/s41586-022-04594-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Evans JP, et al. Neutralization of SARS-CoV-2 Omicron sub-lineages BA.1, BA.1.1, and BA.2. Cell Host Microbe. 2022;30:1093–1102.e3. doi: 10.1016/j.chom.2022.04.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Jian F, et al. Further humoral immunity evasion of emerging SARS-CoV-2 BA.4 and BA.5 subvariants. Lancet Infect. Dis. 2022;22:1535–1537. doi: 10.1016/S1473-3099(22)00642-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Dejnirattisai W, et al. SARS-CoV-2 Omicron-B.1.1.529 leads to widespread escape from neutralizing antibody responses. Cell. 2022;185:467–484.e15. doi: 10.1016/j.cell.2021.12.046. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Zhou T, et al. Structural basis for potent antibody neutralization of SARS-CoV-2 variants including B.1.1.529. Science. 2022;376:eabn8897. doi: 10.1126/science.abn8897. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Ai J, et al. Antibody evasion of SARS-CoV-2 Omicron BA.1, BA.1.1, BA.2, and BA.3 sub-lineages. Cell Host Microbe. 2022;30:1077–1083.e4. doi: 10.1016/j.chom.2022.05.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Wang Q, et al. Antigenic characterization of the SARS-CoV-2 Omicron subvariant BA.2.75. Cell Host Microbe. 2022;30:1512–1517.e4. doi: 10.1016/j.chom.2022.09.002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Planas D, et al. Considerable escape of SARS-CoV-2 Omicron to antibody neutralization. Nature. 2022;602:671–675. doi: 10.1038/s41586-021-04389-z. [DOI] [PubMed] [Google Scholar]
- 13.Cao Y, et al. Potent neutralizing antibodies against SARS-CoV-2 identified by high-throughput single-cell sequencing of convalescent patients’ B cells. Cell. 2020;182:73–84.e16. doi: 10.1016/j.cell.2020.05.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Liu L, et al. Potent neutralizing antibodies directed to multiple epitopes on SARS-CoV-2 spike. Nature. 2020;584:450–456. doi: 10.1038/s41586-020-2571-7. [DOI] [PubMed] [Google Scholar]
- 15.Yuan M, et al. Structural and functional ramifications of antigenic drift in recent SARS-CoV-2 variants. Science. 2021;373:818–823. doi: 10.1126/science.abh1139. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Yuan M, et al. Structural basis of a shared antibody response to SARS-CoV-2. Science. 2020;369:1119–1123. doi: 10.1126/science.abd2321. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Robbiani DF, et al. Convergent antibody responses to SARS-CoV-2 in convalescent individuals. Nature. 2020;584:437–442. doi: 10.1038/s41586-020-2456-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Wang Z, et al. mRNA vaccine-elicited antibodies to SARS-CoV-2 and circulating variants. Nature. 2021;592:616–622. doi: 10.1038/s41586-021-03324-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Cho A, et al. Anti-SARS-CoV-2 receptor-binding domain antibody evolution after mRNA vaccination. Nature. 2021;600:517–522. doi: 10.1038/s41586-021-04060-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Barnes CO, et al. SARS-CoV-2 neutralizing antibody structures inform therapeutic strategies. Nature. 2020;588:682–687. doi: 10.1038/s41586-020-2852-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Tortorici MA, et al. Ultrapotent human antibodies protect against SARS-CoV-2 challenge via multiple mechanisms. Science. 2020;370:950–957. doi: 10.1126/science.abe3354. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Park YJ, et al. Antibody-mediated broad sarbecovirus neutralization through ACE2 molecular mimicry. Science. 2022;375:449–454. doi: 10.1126/science.abm8143. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Pinto D, et al. Cross-neutralization of SARS-CoV-2 by a human monoclonal SARS-CoV antibody. Nature. 2020;583:290–295. doi: 10.1038/s41586-020-2349-y. [DOI] [PubMed] [Google Scholar]
- 24.Westendorf K, et al. LY-CoV1404 (bebtelovimab) potently neutralizes SARS-CoV-2 variants. Cell Rep. 2022;39:110812. doi: 10.1016/j.celrep.2022.110812. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Hansen J, et al. Studies in humanized mice and convalescent humans yield a SARS-CoV-2 antibody cocktail. Science. 2020;369:1010–1014. doi: 10.1126/science.abd0827. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Hastie KM, et al. Defining variant-resistant epitopes targeted by SARS-CoV-2 antibodies: a global consortium study. Science. 2021;374:472–478. doi: 10.1126/science.abh2315. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Martinez DR, et al. A broadly cross-reactive antibody neutralizes and protects against sarbecovirus challenge in mice. Sci. Transl. Med. 2022;14:eabj7125. doi: 10.1126/scitranslmed.abj7125. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Tortorici MA, et al. Broad sarbecovirus neutralization by a human monoclonal antibody. Nature. 2021;597:103–108. doi: 10.1038/s41586-021-03817-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Yuan M, et al. A highly conserved cryptic epitope in the receptor binding domains of SARS-CoV-2 and SARS-CoV. Science. 2020;368:630–633. doi: 10.1126/science.abb7269. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Cui Z, et al. Structural and functional characterizations of infectivity and immune evasion of SARS-CoV-2 Omicron. Cell. 2022;185:860–871.e13. doi: 10.1016/j.cell.2022.01.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Wang L, et al. Ultrapotent antibodies against diverse and highly transmissible SARS-CoV-2 variants. Science. 2021;373:eabh1766. doi: 10.1126/science.abh1766. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Cao Y, et al. Omicron escapes the majority of existing SARS-CoV-2 neutralizing antibodies. Nature. 2022;602:657–663. doi: 10.1038/s41586-021-04385-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Liang Q, et al. RBD trimer mRNA vaccine elicits broad and protective immune responses against SARS-CoV-2 variants. iScience. 2022;25:104043. doi: 10.1016/j.isci.2022.104043. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Ai J, et al. Recombinant protein subunit vaccine booster following two-dose inactivated vaccines dramatically enhanced anti-RBD responses and neutralizing titers against SARS-CoV-2 and Variants of Concern. Cell Res. 2022;32:103–106. doi: 10.1038/s41422-021-00590-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Cao Y, et al. Humoral immunogenicity and reactogenicity of CoronaVac or ZF2001 booster after two doses of inactivated vaccine. Cell Res. 2022;32:107–109. doi: 10.1038/s41422-021-00596-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Keeton R, et al. Prior infection with SARS-CoV-2 boosts and broadens Ad26.COV2.S immunogenicity in a variant-dependent manner. Cell Host Microbe. 2021;29:1611–1619.e5. doi: 10.1016/j.chom.2021.10.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Urbanowicz RA, et al. Two doses of the SARS-CoV-2 BNT162b2 vaccine enhance antibody responses to variants in individuals with prior SARS-CoV-2 infection. Sci. Transl. Med. 2021;13:eabj0847. doi: 10.1126/scitranslmed.abj0847. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Lucas C, et al. Impact of circulating SARS-CoV-2 variants on mRNA vaccine-induced immunity. Nature. 2021;600:523–529. doi: 10.1038/s41586-021-04085-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Stamatatos L, et al. mRNA vaccination boosts cross-variant neutralizing antibodies elicited by SARS-CoV-2 infection. Science. 2021;372:1413–1418. doi: 10.1126/science.abg9175. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Ebinger JE, et al. Antibody responses to the BNT162b2 mRNA vaccine in individuals previously infected with SARS-CoV-2. Nat. Med. 2021;27:981–984. doi: 10.1038/s41591-021-01325-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Jardine J, et al. Rational HIV immunogen design to target specific germline B cell receptors. Science. 2013;340:711–716. doi: 10.1126/science.1234150. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Jardine JG, et al. Priming a broadly neutralizing antibody response to HIV-1 using a germline-targeting immunogen. Science. 2015;349:156–161. doi: 10.1126/science.aac5894. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Lee JH, et al. Vaccine genetics of IGHV1-2 VRC01-class broadly neutralizing antibody precursor naive human B cells. NPJ Vaccines. 2021;6:113. doi: 10.1038/s41541-021-00376-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Stamatatos L, Pancera M, McGuire AT. Germline-targeting immunogens. Immunol. Rev. 2017;275:203–216. doi: 10.1111/imr.12483. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Dubrovskaya V, et al. Vaccination with glycan-modified HIV NFL envelope trimer-liposomes elicits broadly neutralizing antibodies to multiple sites of vulnerability. Immunity. 2019;51:915–929.e7. doi: 10.1016/j.immuni.2019.10.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Escolano A, et al. Immunization expands B cells specific to HIV-1 V3 glycan in mice and macaques. Nature. 2019;570:468–473. doi: 10.1038/s41586-019-1250-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Konrath KM, et al. Nucleic acid delivery of immune-focused SARS-CoV-2 nanoparticles drives rapid and potent immunogenicity capable of single-dose protection. Cell Rep. 2022;38:110318. doi: 10.1016/j.celrep.2022.110318. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Zhou T, et al. Quantification of the impact of the HIV-1-glycan shield on antibody elicitation. Cell Rep. 2017;19:719–732. doi: 10.1016/j.celrep.2017.04.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Stewart-Jones GB, et al. Trimeric HIV-1-Env structures define glycan shields from clades A, B, and G. Cell. 2016;165:813–826. doi: 10.1016/j.cell.2016.04.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Li M, et al. Broadly neutralizing and protective nanobodies against SARS-CoV-2 Omicron subvariants BA.1, BA.2, and BA.4/5 and diverse sarbecoviruses. Nat. Commun. 2022;13:7957. doi: 10.1038/s41467-022-35642-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.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. 2021;54:1611–1621.e5. doi: 10.1016/j.immuni.2021.06.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Zhang Q, et al. Potent and protective IGHV3-53/3-66 public antibodies and their shared escape mutant on the spike of SARS-CoV-2. Nat. Commun. 2021;12:4210. doi: 10.1038/s41467-021-24514-w. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Kong L, et al. Key gp120 glycans pose roadblocks to the rapid development of VRC01-class antibodies in an HIV-1-infected chinese donor. Immunity. 2016;44:939–950. doi: 10.1016/j.immuni.2016.03.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Ju B, et al. Human neutralizing antibodies elicited by SARS-CoV-2 infection. Nature. 2020;584:115–119. doi: 10.1038/s41586-020-2380-z. [DOI] [PubMed] [Google Scholar]
- 55.Liao HX, et al. High-throughput isolation of immunoglobulin genes from single human B cells and expression as monoclonal antibodies. J. Virol. Methods. 2009;158:171–179. doi: 10.1016/j.jviromet.2009.02.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Cheng L, et al. Cross-neutralization of SARS-CoV-2 Kappa and Delta variants by inactivated vaccine-elicited serum and monoclonal antibodies. Cell Disco. 2021;7:112. doi: 10.1038/s41421-021-00347-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Cohen SX, et al. ARP/wARP and molecular replacement: the next generation. Acta Crystallogr. D. Biol. Crystallogr. 2008;64:49–60. doi: 10.1107/S0907444907047580. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Emsley P, Cowtan K. Coot: model-building tools for molecular graphics. Acta Crystallogr. D. Biol. Crystallogr. 2004;60:2126–2132. doi: 10.1107/S0907444904019158. [DOI] [PubMed] [Google Scholar]
- 59.Adams PD, et al. PHENIX: building new software for automated crystallographic structure determination. Acta Crystallogr. D Biol. Crystallogr. 2002;58:1948–1954. doi: 10.1107/S0907444902016657. [DOI] [PubMed] [Google Scholar]
- 60.Zheng SQ, et al. MotionCor2: anisotropic correction of beam-induced motion for improved cryo-electron microscopy. Nat. Methods. 2017;14:331–332. doi: 10.1038/nmeth.4193. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Zhang K. Gctf: real-time CTF determination and correction. J. Struct. Biol. 2016;193:1–12. doi: 10.1016/j.jsb.2015.11.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Punjani A, Rubinstein JL, Fleet DJ, Brubaker MA. cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination. Nat. Methods. 2017;14:290–296. doi: 10.1038/nmeth.4169. [DOI] [PubMed] [Google Scholar]
- 63.Punjani A, Zhang H, Fleet DJ. Non-uniform refinement: adaptive regularization improves single-particle cryo-EM reconstruction. Nat. Methods. 2020;17:1214–1221. doi: 10.1038/s41592-020-00990-8. [DOI] [PubMed] [Google Scholar]
- 64.Pettersen EF, et al. UCSF Chimera—a visualization system for exploratory research and analysis. J. Comput. Chem. 2004;25:1605–1612. doi: 10.1002/jcc.20084. [DOI] [PubMed] [Google Scholar]
- 65.Ge J, et al. Antibody neutralization of SARS-CoV-2 through ACE2 receptor mimicry. Nat. Commun. 2021;12:250. doi: 10.1038/s41467-020-20501-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Shan S, et al. A potent and protective human neutralizing antibody against SARS-CoV-2 variants. Front. Immunol. 2021;12:766821. doi: 10.3389/fimmu.2021.766821. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Structure coordinates have been deposited in the Protein Data Bank under accession codes 7XSC (P5S-2B10:WT-RBD), 7XS8 (P5-1H1:WT-RBD), 7XSA (P2S-2E9:Beta-RBD) and 7XSB (P5S-3B11:Beta-RBD). Sequences of 40 RBD-specific mAbs have been provided in Supplementary Table 2. All data generated or analyzed during this study are available within the paper and the Supplementary Information files. Source data are provided with this paper.