Literature DB >> 35253229

Augmented neutralization of SARS-CoV-2 Omicron variant by boost vaccination and monoclonal antibodies.

Sebastian R Schulz1, Markus Hoffmann2,3, Edith Roth1, Katharina Pracht1, Deborah L Burnett4,5, Ohan Mazigi4,5, Wolfgang Schuh1, Bernhard Manger6, Dirk Mielenz1, Christopher C Goodnow4,7, Daniel Christ4,5, Stefan Pöhlmann2,3, Hans-Martin Jäck1.   

Abstract

Effective vaccines and monoclonal antibodies have been developed against coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, the appearance of virus variants with higher transmissibility and pathogenicity is a major concern because of their potential to escape vaccines and clinically approved SARS-CoV-2- antibodies. Here, we use flow cytometry-based binding and pseudotyped SARS-CoV-2 neutralization assays to determine the efficacy of boost immunization and therapeutic antibodies to neutralize the dominant Omicron variant. We provide compelling evidence that the third vaccination with BNT162b2 increases the amount of neutralizing serum antibodies against Delta and Omicron variants, albeit to a lower degree when compared to the parental Wuhan strain. Therefore, a third vaccination is warranted to increase titers of protective serum antibodies, especially in the case of the Omicron variant. We also found that most clinically approved and otherwise potent therapeutic antibodies against the Delta variant failed to recognize and neutralize the Omicron variant. In contrast, some antibodies under preclinical development potentially neutralized the Omicron variant. Our studies also support using a flow cytometry-based antibody binding assay to rapidly monitor therapeutic candidates and serum titers against emerging SARS-CoV-2 variants.
© 2022 The Authors. European Journal of Immunology published by Wiley-VCH GmbH.

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Keywords:  COVID-19; SARS-CoV-2; boost immunization; coronavirus; neutralizing antibody; vaccination

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Year:  2022        PMID: 35253229      PMCID: PMC9087419          DOI: 10.1002/eji.202249841

Source DB:  PubMed          Journal:  Eur J Immunol        ISSN: 0014-2980            Impact factor:   6.688


Introduction

Coronavirus disease 2019 (COVID‐19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) is an infectious disease with variable outcomes. SARS‐CoV‐2 infection, as well as mRNA‐, DNA vector‐, and protein‐based vaccinations, induce neutralizing antibodies and the formation of antigen‐specific T cells for durable cellular and humoral immune memory [1, 2]. Effective vaccines and several potent virus‐neutralizing antibodies have been a game changer in the fight against this devastating COVID‐19 pandemic [3, 4]. The RNA‐based vaccine from BioNTech (BNT162b2) and the two‐antibody cocktail Ronapreve (consisting of Casirivimab/Imdevimab) from Regeneron were the first that obtained authorized usage in the European Union (EU) from the European Medicines Agency (EMA) in 2020 for protection against and treatment of early COVID‐19 symptoms, respectively [5]. Furthermore, EMA just authorized the use of a fifth vaccine, the first protein‐based vaccine Nuvaxovid [6], and the anti‐CoV‐2 antibodies Xevudy (Sotrovimab from VirTechnology/GSK) and Regkirona (Regdanvimab from Celltrion) for COVID‐19 treatment [7]. In addition, the two‐antibody cocktail Evusheld (Tixagevimab and Cilgavimab from AstraZeneca) is currently under rolling review [7]. Virus variants of concern have acquired mutations that change the virus’ infectivity and pathogenicity and enable the virus variant to escape at least in part from vaccine‐induced antibody responses and currently approved therapeutic antibodies. For example, sera from double‐vaccinated individuals and therapeutic candidate monoclonal antibodies showed a reduced neutralizing activity against the Delta variant [8, 9]. Here, we use a flow cytometry‐based antibody binding assay with SARS‐CoV‐2 spike‐transfected HEK293 cells and a vesicular stomatitis virus (VSV)‐based pseudotype neutralization assay to analyze whether a third immunization, that is, the second boost vaccination, can increase the serum activity of neutralizing antibodies against the recently emerged and rapidly spreading SARS‐CoV‐2 Omicron variant [10].

Results and discussion

Enhanced neutralization of SARS‐CoV‐2 Omicron variant by boosting double‐vaccinated individuals

To test our hypothesis that the third dose of BNT162b2 augments the Omicron spike‐binding and ‐neutralizing antibody response, we recruited individuals who have received a boost vaccination between 4 to 9 months after their second vaccination and collected sera samples before and 10 to 78 days after their third dose (Supporting information Table S1). To quickly determine whether the antibody binding capacity to the Omicron spike protein increases after a boost, we used a flow cytometry‐based IgG‐binding assay with HEK293 cells that were transiently transfected with the spike membrane protein of the Wuhan‐Hu‐1 strain and the SARS‐CoV‐2 Delta and Omicron variants (Fig. 1A and B). The surface abundance of the spike proteins was comparable among the three variants, as demonstrated by a similar binding of the CVR12 antibody that recognizes a shared conserved epitope (Fig. 2A). The slightly lower surface abundance observed for the Wuhan spike protein could be explained by the absence of the D614G mutation reported to increase the membrane spike protein stability [11].
Figure 1

Booster immunization of double‐vaccinated individuals increases Omicron spike protein‐binding and ‐neutralizing antibodies. (A) Schematic overview of the SARS‐CoV‐2 spike proteins. The amino acid changes in the spike proteins of variants of concern (VoC) compared to the reference genome of the Wuhan‐Hu‐1 strain (GenBank accession no. MN908947) are shown for the Delta and Omicron variants. The S1/S2 and S2’ cleavage sites are indicated by black bars. NTD, N‐terminal domain; RBD, receptor‐binding domain; RBM, receptor‐binding motif; FP, fusion peptide; HR, heptad repeat, TM, transmembrane domain. (B) Flow cytometry‐based assay to determine antibody binding to SARS‐CoV‐2 spike proteins. HEK293 cells were transiently cotransfected with a SARS‐CoV‐2 spike‐encoding and a GFP‐reporter plasmid. Transfected cells were stained with serum samples from vaccinated individuals (1:100 dilutions) followed by staining with AF647‐conjugated goat antibodies against human IgG. Cells were gated, as depicted in Supporting information Figure S2. Assays were performed independently two to three times for each serum. Serum from a nonvaccinated/noninfected donor served as negative control (ctrl). AF647 fluorescence intensity (FI) determined in the GFP‐gated cell population (see Supporting information Figure S2) was plotted. Lighter and darker shaded histograms correspond to preboost and postboost sera, respectively. Note: S8 and S10 were donors who received AZD1222 as a first vaccine, mRNA‐1273 and BNT162b2 as a second vaccine, respectively, and then with BNT162b2 as a boost. All other volunteers received only the BNT162b2 vaccine shot. Assays were performed independently two to three times for each serum. (C) VSV‐based SARS‐CoV‐2‐pseudotyped neutralization assay. SARS‐CoV‐2 spike protein‐bearing VSV particles were preincubated with serially diluted immune serum before inoculating Vero cells. Spike protein‐driven cell entry was analyzed by measuring the activity of virus‐encoded firefly luciferase in cell lysates. Presented is the average (mean) % inhibition (from four technical replicates per serum) in spike protein‐driven cell entry, which was normalized against a sample without serum (set to 0% Inhibition). Error bars indicate the standard deviation. The SARS‐CoV‐2 B.1 variant differs from the Wuhan‐Hu‐1 stain by the absence of the D614G mutation. (D) Binding intensity correlates with neutralization activity. The median fluorescence intensities (MdFI) of (B) and the neutralization titer 50 (NT50, calculated as the reciprocal of the dilution resulting in 50% neutralization) were plotted before (preboost) and after (postboost) the third immunization with BNT162b2. The numbers above the data points indicate the mean of the MdFI and NT50 values. Data points below the dashed line indicate samples for which no neutralizing activity was observed.

Figure 2

SARS‐CoV‐2 Omicron variant escapes most clinically approved antibodies but can be neutralized by monoclonal antibodies under preclinical development. (A) Flow cytometry‐based assay to determine the binding potential of monoclonal antibodies to SARS‐CoV‐2 spike proteins. The binding of monoclonal antibodies to SARS‐CoV‐2 spike‐transfected HEK293 was determined in a flow cytometer as described in Fig. 1B. Recombinant isotype‐matched TRES480 antibodies served as a negative control. Numbers indicate median fluorescence intensities (MdFI). The assay was performed independently two to three times for each antibody. (B) VSV‐based SARS‐CoV‐2‐pseudotyped neutralization assay. SARS‐CoV‐2 spike protein‐bearing VSV particles were preincubated with serially diluted monoclonal antibodies, and spike protein‐driven cell entry in Vero cells was analyzed as described in Fig. 1C. Presented is the average (mean) % inhibition (from four technical replicates per antibody) in spike protein‐driven cell entry, which was normalized against a sample without antibody (set to 0% Inhibition). Error bars indicate the SD. IC50 values were calculated as the concentration resulting in 50% neutralization and are presented in Table 1.

Booster immunization of double‐vaccinated individuals increases Omicron spike protein‐binding and ‐neutralizing antibodies. (A) Schematic overview of the SARS‐CoV‐2 spike proteins. The amino acid changes in the spike proteins of variants of concern (VoC) compared to the reference genome of the Wuhan‐Hu‐1 strain (GenBank accession no. MN908947) are shown for the Delta and Omicron variants. The S1/S2 and S2’ cleavage sites are indicated by black bars. NTD, N‐terminal domain; RBD, receptor‐binding domain; RBM, receptor‐binding motif; FP, fusion peptide; HR, heptad repeat, TM, transmembrane domain. (B) Flow cytometry‐based assay to determine antibody binding to SARS‐CoV‐2 spike proteins. HEK293 cells were transiently cotransfected with a SARS‐CoV‐2 spike‐encoding and a GFP‐reporter plasmid. Transfected cells were stained with serum samples from vaccinated individuals (1:100 dilutions) followed by staining with AF647‐conjugated goat antibodies against human IgG. Cells were gated, as depicted in Supporting information Figure S2. Assays were performed independently two to three times for each serum. Serum from a nonvaccinated/noninfected donor served as negative control (ctrl). AF647 fluorescence intensity (FI) determined in the GFP‐gated cell population (see Supporting information Figure S2) was plotted. Lighter and darker shaded histograms correspond to preboost and postboost sera, respectively. Note: S8 and S10 were donors who received AZD1222 as a first vaccine, mRNA‐1273 and BNT162b2 as a second vaccine, respectively, and then with BNT162b2 as a boost. All other volunteers received only the BNT162b2 vaccine shot. Assays were performed independently two to three times for each serum. (C) VSV‐based SARS‐CoV‐2‐pseudotyped neutralization assay. SARS‐CoV‐2 spike protein‐bearing VSV particles were preincubated with serially diluted immune serum before inoculating Vero cells. Spike protein‐driven cell entry was analyzed by measuring the activity of virus‐encoded firefly luciferase in cell lysates. Presented is the average (mean) % inhibition (from four technical replicates per serum) in spike protein‐driven cell entry, which was normalized against a sample without serum (set to 0% Inhibition). Error bars indicate the standard deviation. The SARS‐CoV‐2 B.1 variant differs from the Wuhan‐Hu‐1 stain by the absence of the D614G mutation. (D) Binding intensity correlates with neutralization activity. The median fluorescence intensities (MdFI) of (B) and the neutralization titer 50 (NT50, calculated as the reciprocal of the dilution resulting in 50% neutralization) were plotted before (preboost) and after (postboost) the third immunization with BNT162b2. The numbers above the data points indicate the mean of the MdFI and NT50 values. Data points below the dashed line indicate samples for which no neutralizing activity was observed. SARS‐CoV‐2 Omicron variant escapes most clinically approved antibodies but can be neutralized by monoclonal antibodies under preclinical development. (A) Flow cytometry‐based assay to determine the binding potential of monoclonal antibodies to SARS‐CoV‐2 spike proteins. The binding of monoclonal antibodies to SARS‐CoV‐2 spike‐transfected HEK293 was determined in a flow cytometer as described in Fig. 1B. Recombinant isotype‐matched TRES480 antibodies served as a negative control. Numbers indicate median fluorescence intensities (MdFI). The assay was performed independently two to three times for each antibody. (B) VSV‐based SARS‐CoV‐2‐pseudotyped neutralization assay. SARS‐CoV‐2 spike protein‐bearing VSV particles were preincubated with serially diluted monoclonal antibodies, and spike protein‐driven cell entry in Vero cells was analyzed as described in Fig. 1C. Presented is the average (mean) % inhibition (from four technical replicates per antibody) in spike protein‐driven cell entry, which was normalized against a sample without antibody (set to 0% Inhibition). Error bars indicate the SD. IC50 values were calculated as the concentration resulting in 50% neutralization and are presented in Table 1.
Table 1

Binding and neutralizing activities of clinically and preclinically developed monoclonal antibodies against spike proteins from SARS‐CoV‐2 variants

Wuhan‐Hu‐1B.1DeltaB.1.617.2OmicronB.1.1.529
Antibody(Alias)MdFI  x 103 IC50 ng/mLMdFI x 103 IC50 ng/mLMdFI x 103 IC50 ng/mL
Approved

LY‐CoV555

(Bamlanivimab)

355

21 [13]

3 [14]

403517 [14]1

>10 000 [13]

>10 000 [15]

LY‐CoV016

(Etesevimab)

282

59 [13]

4 [14]

1924 [14]1

>10 000 [13]

>10 000 [15]

REGN10933

(Casirivimab)

236

9 [13]

1 [14]

1482 [14]103

>10 000 [13]

1078 [15]

REGN10987

(Imdevimab)

371

25 [14]

1 [15]

4711 [14]1

>10 000 [13]

>10 000 [15]

VIR‐7831

(Sotrovimab)

139

91 [13]

8 [14]

14114 [14]15

260 [13]

165 [15]

CT‐P59

(Regdanivimab)

1314 [13]233ND1>10 000 [13]
Trials

AZD8895

(Tixagevimab)

250

5

4 [13]

59ND73

115

>10 000 [13]

AZD1061

(Cilgavimab)

366

14

8 [13]

468ND101

882

2772 [13]

BMS‐986414

(C135)

321ND666ND1ND

BMS‐986413

(C144)

340ND408ND1ND

STE90‐C11

(COR‐101)

188ND298ND1ND
Preclinical S2H97 58280 [13]74ND2961368 [13]
8D2 37ND197ND1ND
4A8 67ND20ND1ND
TRES328  140791>10 0001>10 000
3467  1652363116525>10 000
CVR4  7031513226967368
TRES6  30231>10 0001>10 000
CVR12 151143461536036

IC50, half maximal inhibitory concentration; MdFI, Median fluorescence intensity.

Values rounded to full numbers.

More information on antibodies in Supporting information Table S2 and S3.

As expected from previous studies, most individuals showed low to very low spike‐specific IgG 4 to 10 months after their second vaccination, indicating a gradual loss of short‐lived vaccine‐induced antibody‐secreting plasma cells. The decrease in antibody binding capacities correlated with lower neutralization activities for viral particles pseudotyped with the spike proteins of the Wuhan, Delta and Omicron stains (Fig. 1C and D). However, after the third vaccine dose (BNT162b2), all analyzed sera samples exhibited increased binding (Fig. 1B) and neutralization activities (Fig. 1C) against all three variants. Again, compared to the Wuhan‐Hu‐1 strain, the neutralizing antibody titers were reduced to about twofold for Delta and fourfold for the Omicron variant. The reduced potential of a boost vaccination to neutralize pseudotyped virus particles bearing the Omicron spike protein could be explained by a significant fraction of reactivated memory B cells recognizing immunodominant epitopes that are altered in the Omicron spike protein. The receptor‐binding domain (RBD) of the Omicron spike protein contains numerous mutations, several of which have been described to mediate antibody evasion [12]. In summary, the observed correlation of SARS‐CoV‐2 pseudovirus neutralization and the IgG binding to the spike protein highlights the practicality of flow cytometry‐based antibody binding assays to quickly assess future SARS‐CoV‐2 variants and monitor the success of vaccination.

The SARS‐CoV‐2 Omicron variant escapes most clinically approved antibodies

To determine whether the Omicron variant can escape the neutralization by therapeutic antibodies, we screened a collection of clinically approved and preclinically tested candidate antibodies with our flow cytometry‐based antibody‐binding assay (Fig. 2A). Strikingly, most tested antibodies failed to bind to Omicron spike protein, among them clinically approved antibodies from Eli Lilly (Ly‐CoV555 alias Bamlanivimab and Ly‐CoV016 alias Etesevimab), Regeneron (REGN10987 alias Imdevimab), and Celltrion (CT‐P59 alias Regdanvimab), as well as candidate antibodies were currently tested in clinical trials (e.g., STE90‐C11 or COR‐101 from Corat and the two antibodies BMS986414 and 986414 from Bristol Myers Squibb) (Fig. 2A). Of note, VIR‐7831 (alias Sotrovimab) is the only currently approved therapeutic antibody with discernible binding to the Omicron spike (Fig. 2A) and efficient neutralization of Omicron‐pseudotyped particles ([1, 14, 15, 16, 17] and Table 1). However, compared to the B.1 variant (Wuhan‐Hu‐1 spike protein sequence bearing a D614G mutation), Sotrovimab has a two‐ to ‐threefold reduction in its neutralization activity against the Omicron variant, that is, the IC50 value drops from 90 to 260 ng/mL (see Table 1). Therefore, the in vivo efficacy could be reduced, and further studies are required to critically evaluate the full retention of the clinical benefit of Sotrovimab at current dosing. Binding and neutralizing activities of clinically and preclinically developed monoclonal antibodies against spike proteins from SARS‐CoV‐2 variants LY‐CoV555 (Bamlanivimab) 21 [13] 3 [14] >10 000 [13] >10 000 [15] LY‐CoV016 (Etesevimab) 59 [13] 4 [14] >10 000 [13] >10 000 [15] REGN10933 (Casirivimab) 9 [13] 1 [14] >10 000 [13] 1078 [15] REGN10987 (Imdevimab) 25 [14] 1 [15] >10 000 [13] >10 000 [15] VIR‐7831 (Sotrovimab) 91 [13] 8 [14] 260 [13] 165 [15] CT‐P59 (Regdanivimab) AZD8895 (Tixagevimab) 5 4 [13] 115 >10 000 [13] AZD1061 (Cilgavimab) 14 8 [13] 882 2772 [13] BMS‐986414 (C135) BMS‐986413 (C144) STE90‐C11 (COR‐101) IC50, half maximal inhibitory concentration; MdFI, Median fluorescence intensity. Values rounded to full numbers. More information on antibodies in Supporting information Table S2 and S3. We also found that neutralizing antibodies against the N‐terminal domain (NTD) of the spike protein (e.g., 8D2, 4A8 [16], TRES328, Table 1 and Supporting information Tables S2 and S3) have lost the binding against Delta and Omicron spike protein. As expected, the lack of binding of the anti‐NTD TRES328 antibody correlated with loss of neutralization (Fig. 2B), which is consistent with the accumulation of mutations in the NTD supersite in the variants of concern [12]. Based on the excellent correlation between an antibody's loss to bind and its failure to neutralize SARS‐CoV‐2 variants, we conclude that the flow cytometry‐based antibody binding assay is a valuable tool to quickly prescreen SARS‐CoV‐2 spike variants for antibody evasion, that is, antibodies that have lost their binding potential to the spike protein of a SARS‐CoV‐2 variant will also fail to neutralize the respective virus. In contrast to published results [17], the antibodies AZD8895 and AZD1061 (aliases Tixagevimab and Cilgavimab) from AstraZeneca and REGN10933 (alias Casirivimab) from Regeneron still bound to the Omicron spike protein in our flow cytometry‐based binding assay. This was surprising because both AZD antibodies still neutralized pseudotyped Omicron particles, albeit with reduced activities (Fig. 2B, Table 1 and [13]), and REGN10933 has completely lost its neutralization activity (Table 1 and [13, 15]). The structural and functional basis for the observed discrepancies between binding and neutralization capabilities of some monoclonal antibodies remains to be solved.

Identification of SARS‐CoV‐2 Omicron‐neutralizing monoclonal antibodies

We have isolated several SARS‐CoV‐2‐neutralizing antibodies that recognized the spike protein of the Wuhan‐Hu‐1 strain from the human antibody TRIANNI mouse [18, 19], as well as from reconvalescent COVID‐19 patients and human antibody phage display libraries (under review). However, several of the antibodies lost their neutralization potential against the Omicron variant, including the TRIANNI mouse‐derived antibody 3467, that binds to conserved RBD residues away from the binding site of the human angiotensin‐converting enzyme 2, or hACE2 [19]. This is likely mediated by Omicron mutations at positions 371, 373, and 375 in previously highly conserved residues [19]. In contrast, two other antibodies under preclinical development, CVR4 and CVR12, bound Omicron spike protein in the flow cytometry‐based assay (Fig. 2A) and efficiently neutralized pseudotyped Omicron virus particles (Fig. 2B). CVR12 binds to the receptor‐binding motif and blocks the binding of hACE2; CVR4 cobinds with CVR12 and interacts with a region on RBD distant to the ACE2 binding site (under review). Hence, these antibodies represent promising preclinical candidates to treat Omicron‐infected patients either as a single antibody or as a cocktail. This is an important finding, considering that only one approved monoclonal antibody (i.e., Sotrovimab) is currently available for clinical use, and several promising candidates in phase II and III trials (Table 1, and Supporting information Tables S2 and S3) show a negligible or significantly diminished therapeutic potential against the Omicron variant.

Materials and methods

Flow cytometry‐based binding assay for SARS‐CoV‐2 spike‐specific antibodies

The flow cytometry‐based binding assay was performed as described by Schuh et al. [20], following the guidelines by Cossarizza et al. [21]. Briefly, HEK293 cells were transiently cotransfected with the SARS‐CoV‐2‐spike‐encoding plasmids (see Supporting information Materials and Methods) combined with a GFP‐encoding plasmid using the PEI method. Two days after transfection, cells were stained for 10 min on ice with either serum samples from vaccinated individuals in a 1:100 dilution in FACS buffer (PBS supplemented with 0.1% sodium azide and 2% FCS) or monoclonal human IgG1 antibodies (1 μg/mL in FACS buffer). Sera and recombinant antibodies were titrated to maximize the staining index at one fixed antibody concentration (Supporting information Figure S1). Serum from a nonvaccinated/non‐SARS‐CoV‐2‐infected donor and the human IgG1/κ TRES480 antibody served as negative controls. In addition, bound antibodies were detected with AF647‐conjugated polyclonal goat anti‐human IgG antibodies (Southern Biotech, Birmingham, AL). Cells were gated as depicted in Supporting information Figure S2 and analyzed using a CytoFLEX S flow cytometer (Beckman Coulter).

Serum samples

Sera from individuals who never tested positive for SARS‐CoV‐2 infection and were double vaccinated with BNT162b2/BNT162b2 (BNT/BNT) or AZD1222/mRNA‐1273 (AZ/MOD) were collected 1 day before or on the day of the third vaccination with BNT162b2 (boost) and 13 to 78 days after the boost. Details on the serum samples are summarized in Supporting information Table S1. The ethical approval (No. 157_20 B) for conducting this analysis was granted by the institutional review board of the University Clinic of Erlangen as the responsible ethics committee for all participating institutions. All human serum samples were obtained with written informed consent from the participants.

Antibodies

Human recombinant antibodies were Protein G‐purified from supernatants of HEK293 or CHO cells that were transfected with expression vectors encoding the constant domains of the heavy (H) and light (L) chains of human IgG1 (BioIntron, Shanghai, China). The variable sequences of the antibodies were retrieved from appropriate sequence databanks and the literature (Supporting information Table S3). All antibodies had a purity of >95% and contained >98% monomeric IgG as assessed by SDS PAGE and size exclusion chromatography, respectively (not shown).

Concluding remarks

The encouraging results of this study are that all double‐vaccinated individuals who received a third vaccination (boost vaccination) with BNT162b2 showed an increase in the capacity of serum antibodies to bind to spike protein and neutralize all tested SARS‐CoV‐2 variants, albeit to a lesser degree for the Omicron variant than for the Delta or Wuhan‐Hu‐1 variants. We conclude that the booster vaccination with a SARS‐CoV‐2 strain lacking the mutation of the Omicron variant still increases the amount of Omicron‐neutralizing serum antibodies. Therefore, a booster vaccination is warranted to reduce the risk of severe COVID‐19 symptoms after an Omicron infection as the waning immunity after two doses hardly offers protection against the new variant. This is supported by recent reports from the UK Health Security Agency, the Kaiser Southern California and the Center for Disease Control, USA [22, 23, 24]. All three studies support the conclusion that a third dose reduces COVID‐19‐associated hospitalization by the Omicron variant by 90%. An intriguing finding of our study is that most of the therapeutic COVID‐19 antibodies with approval from EMA and the FDA are not effective against the spike protein of the Omicron variant (Fig. 2A, Table 1). However, the EMA‐ and FDA‐approved antibody, Sotrovimab, as well as two of the preclinical antibodies developed in our laboratories (CVR4 and CVR12), retain their capacity to bind to the mutated spike protein and neutralize the Omicron variant in pseudotyped assays (Fig. 2A and B, Table 1), warranting further clinical development. Our findings confirm recently published studies from other groups using sera from vaccinated individuals [25, 26, 27] and monoclonal antibodies [13, 15, 16, 17, 28, 29, 30]. However, few other studies correlated flow cytometry‐based binding and virus neutralization activity of vaccinated individuals (Fig. 1D) or clinically approved antibodies against the Omicron variant [17]. Therefore, the straightforward flow cytometry‐based assay outlined here can be used (1) to rapidly monitor the kinetics of titers of serum antibodies against a presently dominating or an emerging SARS‐CoV‐2 variant of concern (Fig. 1), (2) prescreen clinically approved monoclonal antibodies for treating COVID‐19 infected patients; and (3) evaluate the potential of clinical trials with antibody candidates (Fig. 2 and Table 1).

Conflict of interest

HMJ is CEO of CoVER Antibodies GmbH and has filed a patent application for the TRES antibodies. The rest of the authors declare no commercial and financial conflict of interest.

Author contributions

SRS and HMJ designed the study, analyzed, and interpreted the data, and wrote the manuscript. MH and SP designed the study and performed the VSV pseudotype neutralization assays; ER acquired and analyzed data. DB, OM, CCG, and DC provided antibodies 3467, CVR12, and CVR4; WS, KP, and DM contributed to interpreting the results, discussion, and manuscript writing. BM provided human serum samples.

Peer review

The peer review history for this article is available at https://publons.com/publon/10.1002/eji.202249841. Coronavirus disease 2019 European Medicines Agency human angiotensin‐converting enzyme 2 N‐terminal domain receptor‐binding domain severe acute respiratory syndrome coronavirus vesicular stomatitis virus Supporting information Click here for additional data file.
  27 in total

Review 1.  Guidelines for the use of flow cytometry and cell sorting in immunological studies (third edition).

Authors:  Andrea Cossarizza; Hyun-Dong Chang; Andreas Radbruch; Sergio Abrignani; Richard Addo; Mübeccel Akdis; Immanuel Andrä; Francesco Andreata; Francesco Annunziato; Eduardo Arranz; Petra Bacher; Sudipto Bari; Vincenzo Barnaba; Joana Barros-Martins; Dirk Baumjohann; Cristian G Beccaria; David Bernardo; Dominic A Boardman; Jessica Borger; Chotima Böttcher; Leonie Brockmann; Marie Burns; Dirk H Busch; Garth Cameron; Ilenia Cammarata; Antonino Cassotta; Yinshui Chang; Fernando Gabriel Chirdo; Eleni Christakou; Luka Čičin-Šain; Laura Cook; Alexandra J Corbett; Rebecca Cornelis; Lorenzo Cosmi; Martin S Davey; Sara De Biasi; Gabriele De Simone; Genny Del Zotto; Michael Delacher; Francesca Di Rosa; James Di Santo; Andreas Diefenbach; Jun Dong; Thomas Dörner; Regine J Dress; Charles-Antoine Dutertre; Sidonia B G Eckle; Pascale Eede; Maximilien Evrard; Christine S Falk; Markus Feuerer; Simon Fillatreau; Aida Fiz-Lopez; Marie Follo; Gemma A Foulds; Julia Fröbel; Nicola Gagliani; Giovanni Galletti; Anastasia Gangaev; Natalio Garbi; José Antonio Garrote; Jens Geginat; Nicholas A Gherardin; Lara Gibellini; Florent Ginhoux; Dale I Godfrey; Paola Gruarin; Claudia Haftmann; Leo Hansmann; Christopher M Harpur; Adrian C Hayday; Guido Heine; Daniela Carolina Hernández; Martin Herrmann; Oliver Hoelsken; Qing Huang; Samuel Huber; Johanna E Huber; Jochen Huehn; Michael Hundemer; William Y K Hwang; Matteo Iannacone; Sabine M Ivison; Hans-Martin Jäck; Peter K Jani; Baerbel Keller; Nina Kessler; Steven Ketelaars; Laura Knop; Jasmin Knopf; Hui-Fern Koay; Katja Kobow; Katharina Kriegsmann; H Kristyanto; Andreas Krueger; Jenny F Kuehne; Heike Kunze-Schumacher; Pia Kvistborg; Immanuel Kwok; Daniela Latorre; Daniel Lenz; Megan K Levings; Andreia C Lino; Francesco Liotta; Heather M Long; Enrico Lugli; Katherine N MacDonald; Laura Maggi; Mala K Maini; Florian Mair; Calin Manta; Rudolf Armin Manz; Mir-Farzin Mashreghi; Alessio Mazzoni; James McCluskey; Henrik E Mei; Fritz Melchers; Susanne Melzer; Dirk Mielenz; Leticia Monin; Lorenzo Moretta; Gabriele Multhoff; Luis Enrique Muñoz; Miguel Muñoz-Ruiz; Franziska Muscate; Ambra Natalini; Katrin Neumann; Lai Guan Ng; Antonia Niedobitek; Jana Niemz; Larissa Nogueira Almeida; Samuele Notarbartolo; Lennard Ostendorf; Laura J Pallett; Amit A Patel; Gulce Itir Percin; Giovanna Peruzzi; Marcello Pinti; A Graham Pockley; Katharina Pracht; Immo Prinz; Irma Pujol-Autonell; Nadia Pulvirenti; Linda Quatrini; Kylie M Quinn; Helena Radbruch; Hefin Rhys; Maria B Rodrigo; Chiara Romagnani; Carina Saggau; Shimon Sakaguchi; Federica Sallusto; Lieke Sanderink; Inga Sandrock; Christine Schauer; Alexander Scheffold; Hans U Scherer; Matthias Schiemann; Frank A Schildberg; Kilian Schober; Janina Schoen; Wolfgang Schuh; Thomas Schüler; Axel R Schulz; Sebastian Schulz; Julia Schulze; Sonia Simonetti; Jeeshan Singh; Katarzyna M Sitnik; Regina Stark; Sarah Starossom; Christina Stehle; Franziska Szelinski; Leonard Tan; Attila Tarnok; Julia Tornack; Timothy I M Tree; Jasper J P van Beek; Willem van de Veen; Klaas van Gisbergen; Chiara Vasco; Nikita A Verheyden; Anouk von Borstel; Kirsten A Ward-Hartstonge; Klaus Warnatz; Claudia Waskow; Annika Wiedemann; Anneke Wilharm; James Wing; Oliver Wirz; Jens Wittner; Jennie H M Yang; Juhao Yang
Journal:  Eur J Immunol       Date:  2021-12-07       Impact factor: 5.532

2.  mRNA vaccines induce durable immune memory to SARS-CoV-2 and variants of concern.

Authors:  Rishi R Goel; Mark M Painter; Sokratis A Apostolidis; Divij Mathew; Wenzhao Meng; Aaron M Rosenfeld; Kendall A Lundgreen; Arnold Reynaldi; David S Khoury; Ajinkya Pattekar; Sigrid Gouma; Leticia Kuri-Cervantes; Philip Hicks; Sarah Dysinger; Amanda Hicks; Harsh Sharma; Sarah Herring; Scott Korte; Amy E Baxter; Derek A Oldridge; Josephine R Giles; Madison E Weirick; Christopher M McAllister; Moses Awofolaju; Nicole Tanenbaum; Elizabeth M Drapeau; Jeanette Dougherty; Sherea Long; Kurt D'Andrea; Jacob T Hamilton; Maura McLaughlin; Justine C Williams; Sharon Adamski; Oliva Kuthuru; Ian Frank; Michael R Betts; Laura A Vella; Alba Grifoni; Daniela Weiskopf; Alessandro Sette; Scott E Hensley; Miles P Davenport; Paul Bates; Eline T Luning Prak; Allison R Greenplate; E John Wherry
Journal:  Science       Date:  2021-12-03       Impact factor: 63.714

3.  SARS-CoV-2 infection induces long-lived bone marrow plasma cells in humans.

Authors:  Jackson S Turner; Wooseob Kim; Elizaveta Kalaidina; Charles W Goss; Adriana M Rauseo; Aaron J Schmitz; Lena Hansen; Alem Haile; Michael K Klebert; Iskra Pusic; Jane A O'Halloran; Rachel M Presti; Ali H Ellebedy
Journal:  Nature       Date:  2021-05-24       Impact factor: 49.962

4.  Neutralizing antibodies against the SARS-CoV-2 Omicron variant BA.1 following homologous and heterologous CoronaVac or BNT162b2 vaccination.

Authors:  Samuel M S Cheng; Chris Ka Pun Mok; Yonna W Y Leung; Susanna S Ng; Karl C K Chan; Fanny W Ko; Chunke Chen; Karen Yiu; Bosco H S Lam; Eric H Y Lau; Ken K P Chan; Leo L H Luk; John K C Li; Leo C H Tsang; Leo L M Poon; David S C Hui; Malik Peiris
Journal:  Nat Med       Date:  2022-01-20       Impact factor: 87.241

5.  SARS-CoV-2 Omicron-B.1.1.529 leads to widespread escape from neutralizing antibody responses.

Authors:  Wanwisa Dejnirattisai; Jiandong Huo; Daming Zhou; Jiří Zahradník; Piyada Supasa; Chang Liu; Helen M E Duyvesteyn; Helen M Ginn; Alexander J Mentzer; Aekkachai Tuekprakhon; Rungtiwa Nutalai; Beibei Wang; Aiste Dijokaite; Suman Khan; Ori Avinoam; Mohammad Bahar; Donal Skelly; Sandra Adele; Sile Ann Johnson; Ali Amini; Thomas G Ritter; Chris Mason; Christina Dold; Daniel Pan; Sara Assadi; Adam Bellass; Nicola Omo-Dare; David Koeckerling; Amy Flaxman; Daniel Jenkin; Parvinder K Aley; Merryn Voysey; Sue Ann Costa Clemens; Felipe Gomes Naveca; Valdinete Nascimento; Fernanda Nascimento; Cristiano Fernandes da Costa; Paola Cristina Resende; Alex Pauvolid-Correa; Marilda M Siqueira; Vicky Baillie; Natali Serafin; Gaurav Kwatra; Kelly Da Silva; Shabir A Madhi; Marta C Nunes; Tariq Malik; Peter J M Openshaw; J Kenneth Baillie; Malcolm G Semple; Alain R Townsend; Kuan-Ying A Huang; Tiong Kit Tan; Miles W Carroll; Paul Klenerman; Eleanor Barnes; Susanna J Dunachie; Bede Constantinides; Hermione Webster; Derrick Crook; Andrew J Pollard; Teresa Lambe; Neil G Paterson; Mark A Williams; David R Hall; Elizabeth E Fry; Juthathip Mongkolsapaya; Jingshan Ren; Gideon Schreiber; David I Stuart; Gavin R Screaton
Journal:  Cell       Date:  2022-01-04       Impact factor: 41.582

6.  B.1.617.2 enters and fuses lung cells with increased efficiency and evades antibodies induced by infection and vaccination.

Authors:  Prerna Arora; Anzhalika Sidarovich; Nadine Krüger; Amy Kempf; Inga Nehlmeier; Luise Graichen; Anna-Sophie Moldenhauer; Martin S Winkler; Sebastian Schulz; Hans-Martin Jäck; Metodi V Stankov; Georg M N Behrens; Stefan Pöhlmann; Markus Hoffmann
Journal:  Cell Rep       Date:  2021-09-28       Impact factor: 9.423

7.  Vaccination-infection interval determines cross-neutralization potency to SARS-CoV-2 Omicron after breakthrough infection by other variants.

Authors:  Sho Miyamoto; Takeshi Arashiro; Yu Adachi; Saya Moriyama; Hitomi Kinoshita; Takayuki Kanno; Shinji Saito; Harutaka Katano; Shun Iida; Akira Ainai; Ryutaro Kotaki; Souichi Yamada; Yudai Kuroda; Tsukasa Yamamoto; Keita Ishijima; Eun-Sil Park; Yusuke Inoue; Yoshihiro Kaku; Minoru Tobiume; Naoko Iwata-Yoshikawa; Nozomi Shiwa-Sudo; Kenzo Tokunaga; Seiya Ozono; Takuya Hemmi; Akira Ueno; Noriko Kishida; Shinji Watanabe; Kiyoko Nojima; Yohei Seki; Takuo Mizukami; Hideki Hasegawa; Hideki Ebihara; Ken Maeda; Shuetsu Fukushi; Yoshimasa Takahashi; Tadaki Suzuki
Journal:  Med (N Y)       Date:  2022-03-04

8.  Omicron escapes the majority of existing SARS-CoV-2 neutralizing antibodies.

Authors:  Yunlong Cao; Jing Wang; Fanchong Jian; Tianhe Xiao; Weiliang Song; Ayijiang Yisimayi; Weijin Huang; Qianqian Li; Peng Wang; Ran An; Jing Wang; Yao Wang; Xiao Niu; Sijie Yang; Hui Liang; Haiyan Sun; Tao Li; Yuanling Yu; Qianqian Cui; Shuo Liu; Xiaodong Yang; Shuo Du; Zhiying Zhang; Xiaohua Hao; Fei Shao; Ronghua Jin; Xiangxi Wang; Junyu Xiao; Youchun Wang; Xiaoliang Sunney Xie
Journal:  Nature       Date:  2021-12-23       Impact factor: 49.962

9.  SARS-CoV-2 spike-protein D614G mutation increases virion spike density and infectivity.

Authors:  Lizhou Zhang; Cody B Jackson; Huihui Mou; Amrita Ojha; Haiyong Peng; Brian D Quinlan; Erumbi S Rangarajan; Andi Pan; Abigail Vanderheiden; Mehul S Suthar; Wenhui Li; Tina Izard; Christoph Rader; Michael Farzan; Hyeryun Choe
Journal:  Nat Commun       Date:  2020-11-26       Impact factor: 14.919

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  4 in total

1.  A Randomized Clinical Trial of Regdanvimab in High-Risk Patients With Mild-to-Moderate Coronavirus Disease 2019.

Authors:  Jin Yong Kim; Oana Săndulescu; Liliana-Lucia Preotescu; Norma E Rivera-Martínez; Marta Dobryanska; Victoria Birlutiu; Egidia G Miftode; Natalia Gaibu; Olga Caliman-Sturdza; Simin-Aysel Florescu; Hye Jin Shi; Anca Streinu-Cercel; Adrian Streinu-Cercel; Sang Joon Lee; Sung Hyun Kim; Ilsung Chang; Yun Ju Bae; Jee Hye Suh; Da Rae Chung; Sun Jung Kim; Mi Rim Kim; Seul Gi Lee; Gahee Park; Joong Sik Eom
Journal:  Open Forum Infect Dis       Date:  2022-08-08       Impact factor: 4.423

2.  Hetero-bivalent nanobodies provide broad-spectrum protection against SARS-CoV-2 variants of concern including Omicron.

Authors:  Huan Ma; Xinghai Zhang; Peiyi Zheng; Peter H Dube; Weihong Zeng; Shaohong Chen; Qingyu Cheng; Yunru Yang; Yan Wu; Junhui Zhou; Xiaowen Hu; Yan Xiang; Huajun Zhang; Sandra Chiu; Tengchuan Jin
Journal:  Cell Res       Date:  2022-07-29       Impact factor: 46.297

3.  Susceptibility of SARS-CoV-2 Omicron Variants to Therapeutic Monoclonal Antibodies: Systematic Review and Meta-analysis.

Authors:  Kaiming Tao; Philip L Tzou; Sergei L Kosakovsky Pond; John P A Ioannidis; Robert W Shafer
Journal:  Microbiol Spectr       Date:  2022-06-14

4.  SARS-CoV-2 omicron variant clearance delayed in breakthrough cases with elevated fasting blood glucose.

Authors:  Xiujun Zhang; Guocan Si; Huifen Lu; Wei Zhang; Shuqin Zheng; Zeyu Huang; Longgen Liu; Yuan Xue; Guojun Zheng
Journal:  Virol J       Date:  2022-09-13       Impact factor: 5.913

  4 in total

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