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Research Article

Prophylactic and postexposure efficacy of a potent human monoclonal antibody against MERS coronavirus

Davide Corti, Jincun Zhao, Mattia Pedotti, Luca Simonelli, Sudhakar Agnihothram, Craig Fett, Blanca Fernandez-Rodriguez, Mathilde Foglierini, Gloria Agatic, Fabrizia Vanzetta, Robin Gopal, Christopher J. Langrish, Nicholas A Barrett, Federica Sallusto, Ralph S. Baric, Luca Varani, Maria Zambon, Stanley Perlman, and Antonio Lanzavecchia
  1. aImmune Regulation Unit, Institute for Research in Biomedicine, Università della Svizzera Italiana, 6500 Bellinzona, Switzerland;
  2. b Humabs BioMed SA, 6500 Bellinzona, Switzerland;
  3. cDepartment of Microbiology, University of Iowa, Iowa City, IA 52240;
  4. dState Key Laboratory of Respiratory Diseases, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China;
  5. eDepartment of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
  6. fMicrobiology Services Colindale, Public Health England, London NW9 5HT, United Kingdom;
  7. g Guy’s and St. Thomas’ National Health Service Foundation Trust, London SE1 7EH, United Kingdom;
  8. h King’s College London, Strand, London WC2R 2LS, United Kingdom;
  9. iDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
  10. jInstitute of Microbiology, Eidgenössische Technische Hochschule Zurich, 8093 Zurich, Switzerland

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PNAS August 18, 2015 112 (33) 10473-10478; first published July 27, 2015; https://doi.org/10.1073/pnas.1510199112
Davide Corti
aImmune Regulation Unit, Institute for Research in Biomedicine, Università della Svizzera Italiana, 6500 Bellinzona, Switzerland;
b Humabs BioMed SA, 6500 Bellinzona, Switzerland;
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Jincun Zhao
cDepartment of Microbiology, University of Iowa, Iowa City, IA 52240;
dState Key Laboratory of Respiratory Diseases, Guangzhou Institute of Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 510120, China;
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Mattia Pedotti
aImmune Regulation Unit, Institute for Research in Biomedicine, Università della Svizzera Italiana, 6500 Bellinzona, Switzerland;
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Luca Simonelli
aImmune Regulation Unit, Institute for Research in Biomedicine, Università della Svizzera Italiana, 6500 Bellinzona, Switzerland;
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Sudhakar Agnihothram
eDepartment of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
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Craig Fett
eDepartment of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
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Blanca Fernandez-Rodriguez
aImmune Regulation Unit, Institute for Research in Biomedicine, Università della Svizzera Italiana, 6500 Bellinzona, Switzerland;
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Mathilde Foglierini
aImmune Regulation Unit, Institute for Research in Biomedicine, Università della Svizzera Italiana, 6500 Bellinzona, Switzerland;
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Gloria Agatic
b Humabs BioMed SA, 6500 Bellinzona, Switzerland;
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Fabrizia Vanzetta
b Humabs BioMed SA, 6500 Bellinzona, Switzerland;
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Robin Gopal
fMicrobiology Services Colindale, Public Health England, London NW9 5HT, United Kingdom;
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Christopher J. Langrish
g Guy’s and St. Thomas’ National Health Service Foundation Trust, London SE1 7EH, United Kingdom;
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Nicholas A Barrett
g Guy’s and St. Thomas’ National Health Service Foundation Trust, London SE1 7EH, United Kingdom;
h King’s College London, Strand, London WC2R 2LS, United Kingdom;
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Federica Sallusto
aImmune Regulation Unit, Institute for Research in Biomedicine, Università della Svizzera Italiana, 6500 Bellinzona, Switzerland;
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Ralph S. Baric
eDepartment of Microbiology and Immunology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
iDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599;
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Luca Varani
aImmune Regulation Unit, Institute for Research in Biomedicine, Università della Svizzera Italiana, 6500 Bellinzona, Switzerland;
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Maria Zambon
fMicrobiology Services Colindale, Public Health England, London NW9 5HT, United Kingdom;
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Stanley Perlman
cDepartment of Microbiology, University of Iowa, Iowa City, IA 52240;
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Antonio Lanzavecchia
aImmune Regulation Unit, Institute for Research in Biomedicine, Università della Svizzera Italiana, 6500 Bellinzona, Switzerland;
jInstitute of Microbiology, Eidgenössische Technische Hochschule Zurich, 8093 Zurich, Switzerland
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  • For correspondence: lanzavecchia@irb.usi.ch
  1. Edited by Michael B. A. Oldstone, The Scripps Research Institute, La Jolla, CA, and approved June 29, 2015 (received for review May 25, 2015)

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Significance

Middle East Respiratory Syndrome coronavirus (MERS-CoV) causes severe respiratory disease with a high mortality rate. There is no licensed vaccine or antiviral for MERS. Here we isolated for the first time, to our knowledge, a potent MERS-CoV–neutralizing antibody from memory B cells of an infected individual. This antibody binds to a novel site on the viral Spike protein, neutralizes by interfering with the binding to the cellular receptor CD26, and is highly effective both in prophylaxis and in therapy in a relevant mouse model. This antibody can be developed for prophylaxis, for postexposure prophylaxis, or for the treatment of severe MERS-CoV infections.

Abstract

Middle East Respiratory Syndrome (MERS) is a highly lethal pulmonary infection caused by a previously unidentified coronavirus (CoV), likely transmitted to humans by infected camels. There is no licensed vaccine or antiviral for MERS, therefore new prophylactic and therapeutic strategies to combat human infections are needed. In this study, we describe, for the first time, to our knowledge, the isolation of a potent MERS-CoV–neutralizing antibody from memory B cells of an infected individual. The antibody, named LCA60, binds to a novel site on the spike protein and potently neutralizes infection of multiple MERS-CoV isolates by interfering with the binding to the cellular receptor CD26. Importantly, using mice transduced with adenovirus expressing human CD26 and infected with MERS-CoV, we show that LCA60 can effectively protect in both prophylactic and postexposure settings. This antibody can be used for prophylaxis, for postexposure prophylaxis of individuals at risk, or for the treatment of human cases of MERS-CoV infection. The fact that it took only 4 mo from the initial screening of B cells derived from a convalescent patient for the development of a stable chinese hamster ovary (CHO) cell line producing neutralizing antibodies at more than 5 g/L provides an example of a rapid pathway toward the generation of effective antiviral therapies against emerging viruses.

  • MERS-CoV
  • neutralizing antibody
  • serotherapy
  • emerging viruses

Middle East Respiratory Syndrome coronavirus (MERS-CoV) is an emergent subgroup C betacoronavirus that was detected for the first times in June and September of 2012, when two cases of severe infections were identified in the Eastern Mediterranean region (1, 2). As of June 29, 2015, 1,379 human infections with 531 deaths have been confirmed in 26 countries in the Middle East, Europe, North Africa, Asia, and Americas, including the recent outbreak in South Korea caused by an individual who traveled to the Middle East, which caused 164 infections and 23 deaths (www.ecdc.europa.eu). MERS-CoV causes severe infection of the lower respiratory tract, similar to the Severe Acute Respiratory Syndrome CoV (SARS-CoV) that appeared in China in 2002. Several cases of human-to-human transmission have been reported in health care workers and family clusters, but at the current time there is no evidence of sustained human-to-human transmission.

SARS-CoV and MERS-CoV belong to the B and C betacoronavirus lineages and have been shown to bind to cellular receptors ACE2 and CD26 [also known as dipeptidyl peptidase 4 (DPP4)], respectively. Of note, SARS-CoV targets ciliated bronchial epithelial cells and type I and type II pneumocytes, whereas MERS-CoV infects type II pneumocytes and nonciliated bronchial cells. These differences might account for the different rates of human-to-human transmission, which was high for SARS-CoV and is moderate to low for MERS-CoV. The two viruses differ also in the duration of their epidemic, which was limited for SARS-CoV (from November 2002 to July 2003) and long-lasting for MERS-CoV, which appeared in 2012 and continues to circulate in the Middle East.

As to the zoonotic reservoir, both MERS-CoV and SARS-CoV probably originated in bats (3, 4) with dromedary camels serving as intermediate hosts for the human MERS-CoV infection and palm civets and raccoon dogs for SARS-CoV (5). Dromedary camels have a close association with humans in the affected areas. Of note, whereas in humans MERS-CoV infects the lower respiratory tract, rendering human-to-human transmission inefficient, in camels the virus infects the upper respiratory tract and is present in nasal secretions at high concentrations, which favors transmission to humans and other camels. However, the mechanisms of transmission from camels to humans and from humans to humans as well as the global incidence in humans are still unclear. Camels show no or mild symptoms, and antibodies found in banked sera samples show that the virus has been present in the animals for at least the past 20 y (6). In addition, most of the patients described appeared to have been infected in hospitals, from other MERS patients, and even many of those who became infected outside a hospital report no exposure to camels. Recent epidemiological data suggest that more than ∼45,000 people in Saudi Arabia were seropositive for a MERS infection, implying that the majority of infections may not detected, the case fatality rate is lower than current estimates of about 40%, or significant levels of unreported severe disease have been misdiagnosed over the past 5–20 y.

The trimeric S protein of MERS-CoV mediates receptor binding and membrane fusion and is the major target for neutralizing antibodies (7, 8). The structure of the cellular receptor (CD26), which is conserved across many species (9), and the complex of CD26 with the receptor binding domain (RBD) of the S protein have been determined by X-ray crystallography (10, 11).

Recently, two groups have used nonimmune human antibody-phage display libraries to isolate neutralizing antibodies to MERS-CoV (12, 13). The antibody 3B11 described by Tang et al. (12) showed neutralizing activity against some but not all strains. m336, a second antibody described more recently by Ying et al. (13), showed high neutralizing potency and used the same VH gene (i.e., VH1-69) with high homology to 3B11 in the HCDR3, suggesting that the two antibodies might have a similar mode of interaction. This hypothesis is supported by the analysis of m336 escape mutants. Here we describe for the first time, to our knowledge, the isolation of a potent neutralizing human monoclonal antibody from the memory B cells of an infected patient that might be developed for the prevention and treatment of MERS-CoV infections.

Results

Rapid Isolation and Scaled-Up Production of a Potent MERS-CoV Human Neutralizing Antibody.

A 49-y-old man from Qatar (14) was hospitalized with severe respiratory failure, requiring extracorporeal membrane oxygenation for over 200 d at St. Thomas’s Hospital in London. Diagnosis was established by RT-PCR detection of corona virus, which was found to be a novel virus (14), subsequently isolated, and thereafter defined as London1/2012 strain. Serum samples and mononuclear cells were obtained at two time points. A pseudotyped luciferase-based MERS-CoV neutralization assay was developed using the sequence of the S protein of the autologous virus (i.e., London1/2012). The donor serum samples obtained 5 and 8 mo after infection showed only modest neutralizing activity (Fig. 1A ), a finding that illustrates the difficulty of obtaining neutralizing antibodies for passive serotherapy from infected patients. IgG memory B cells were immortalized under clonal conditions, and supernatants were screened using a pseudotyped neutralization assay and an ELISA on fixed MERS-CoV–infected cells (Fig. 1B ).

Fig. 1.
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Fig. 1.

Isolation of the LCA60 antibody from the memory B cells of a MERS-CoV–infected individual. MERS survivor plasma samples (two time points, T1 and T2, corresponding to 5 and 8 mo after infection, respectively) (A) and supernatants from EBV-immortalized B-cell cultures (B) were tested for the presence of MERS-CoV pseudovirus (London1/2012, abbreviated as LD1) neutralizing antibodies. LCA60 and LCA57 antibodies were tested for their ability to neutralize the homologous London1/2012-CoV (C) and bind to S protein (EMC/2012) (D). The LCA60 antibody was further tested against three infectious MERS-CoV isolates (E) and several EMC MERS-CoV MARMs (F).

A single B-cell culture out of ∼4,600 showed neutralizing activity, indicating a very low frequency of MERS-CoV–specific B cells, which is consistent with the low serum neutralizing titer. The antibody isolated from this culture, dubbed LCA60, showed an IC50 value of 10 ng/mL against the London1/2012 MERS-CoV pseudovirus (Fig. 1C ). We also isolated a nonneutralizing antibody (dubbed LCA57) from the ELISA screening. Both LCA60 and LCA57 bound to the S protein from the EMC strain, as determined by ELISA (Fig. 1D ), but not to the S protein of HKU4.2 (group IIC, 67% amino acid identity) and HKU3 (group IIB, 30% amino acid identity). LCA60 was confirmed to neutralize, with high and comparable efficiency, infectious MERS-CoV from the London patient as well as additional isolates obtained from Saudi Arabia and Jordan (IC50 values, 279 ng/mL for London1/2012, 150 ng/mL for EMC/2012, and 110 ng/mL for the Jordan-N3/2012 isolate) (Fig. 1E ). These results indicate that LCA60 is 10-fold more potent than 3B11 and comparable to m336. The binding rate constants were determined by surface-plasmon resonance (Fig. 2). LCA60 showed subnanomolar affinity for the S protein [equilibrium dissociation constant (KD) equivalent to 0.12 nM], which was ∼300-fold higher compared with 3B11. In addition, the affinity of LCA60 binding to the RBD was ∼500-fold higher compared with CD26.

Fig. 2.
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Fig. 2.

LCA60 binds to S protein with high affinity. SPR sensograms showing the CoV S protein (EMC/2012) association and dissociation with the LCA57, LCA60, 3B11, and CD26 receptor. The antibodies and the receptor were immobilized on the sensor surface, followed by injection of S protein at the concentrations indicated in the figure. The line fitted to the experimental data and used to calculate the binding affinities is drawn in gray. KD values are reported in the table.

LCA60 uses VH3–15*01 and VL2–23*01, has a 18-amino-acid HCDR3, and carries 17 amino acid substitutions in VH and 12 in VL. In silico analysis of the antibody sequence did not reveal any sequence motif that may impact expression or stability. A codon-optimized gene was synthesized and cloned into a double gene expression vector that was used to transfect the Lonza CHO-K1SV-GS-KO cell line. After a round of selection followed by subcloning, a high-producing research cell line, called LCA60.273.1, was isolated. This line showed high stability of expression and produced 4–5 g/L under fed-batch conditions in shake flasks. The whole process of isolating the antibody and producing the stable cell line was completed in less than 4 mo. This illustrates the feasibility of rapidly developing a human monoclonal neutralizing antibody in response to newly emerging life-threatening infections.

Isolation of Viral Escape Mutants and Molecular Modeling of the RBD–LCA60 Complex.

LCA60 was tested against a panel of monoclonal antibody-resistant mutants (MARMs) that were previously selected using the phage-derived antibodies 1E9 (P547S), 1F8 (R542G), 3C12 (Y540H), and 3B12 (L506F/T512A), which were mapped to three different regions in the RBD (12). Of note, all these MARMs were efficiently neutralized by LCA60 (Fig. 1F ). These results indicate that LCA60 binds to a distinct site on the S protein. To better define the LCA60 epitope, we performed viral escape studies. Upon three rounds of selection with LCA60, two independent MARMs were isolated (Fig. 1F ). The sequence of the S genes showed that both MARMs carried two identical mutations, V33A in the N-terminal region and E536A in the RBD (Fig. S1).

Fig. S1.
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Fig. S1.

Structure of MERS-CoV RBD of the S protein and tested mutants. Residues important for binding of LCA60 antibody are shown in red on the white surface representation of the S protein RBD. Residues not affecting the binding of LCA60 when mutated are shown in blue.

To map the LCA60 epitope, we used a combination of computational predictions and experimental validation. Computational docking predicts the atomic-level 3D structure of a multimolecular complex starting from the separated structures of the individual components, in this case RBD and LCA60. The experimental structure of MERS-CoV RBD was available (10, 11), whereas the structure of LCA60 was predicted by homology modeling according to the canonical structure method (15). The CDR loops of an antibody can adopt a limited and predictable set of conformations, dependent on length and presence of specific amino acids at key positions, with the exception of the HCDR3 loop, which can adopt variable and often flexible conformations due to the high variability in sequence and length (Fig. S2).

Fig. S2.
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Fig. S2.

Predicted structure of LCA60 antibody. Ten different antibody models were generated and used for docking. Antigen binding loops are shown in pink and violet on the cartoon representation of the antibody variable region. The main differences among the models involve the HCDR3 loop, whose structure does not follow known rules and thus cannot be predicted as accurately as other CDRs.

To cover a larger conformational space and to limit the impact of possible modeling inaccuracies, we generated multiple models of LCA60 and docked each of them independently to the MERS-CoV RBD structure using the RosettaDock program (16). The docking algorithm identified two equally plausible models of the LCA60–RBD complex (Fig. 3 A and B and Fig. S3), which we were able to discriminate according to their agreement with experimental data. In both models, the antibody interacts with RBD residues around K493, but only in model A does the antibody interact with residues in the 540–543 region. Introducing mutations in the latter region is expected to affect antibody binding if model A is correct, whereas these mutations should not affect binding if model B is correct. We thus produced 14 mutants of the S protein spanning different regions of the RBD, including the MARM mutations described above. LCA60 and LCA57 were then tested for their ability to bind to cells expressing full-length S mutants. Whereas LCA57 bound to all mutants, LCA60 did not bind T489A, K493A, and E565A and bound poorly to LCA60–MARM E536A (Table S1). These results allowed us to discard model A and select model B as the most consistent with experimental data. Importantly, the four positions that affected LCA60 binding (T489, K493, E565, and E536) are conserved in all natural isolates described to date, including the most recent isolates from the outbreak in South Korea (Fig. S4).

Fig. 3.
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Fig. 3.

Computational models of MERS-CoV RBD in complex with antibody LCA60. (A and B) Structures of the complex between mAb LCA60 (light green and orange cartoons) and RBD–MERS (white surface) obtained by computational docking. S protein mutants that affect (red) or do not affect (blue) antibody binding are shown. Only model B is consistent with the mutagenesis data. (C) Experimental structure of the complex between CD26 (light blue cartoon) and MERS–RBD [Protein Data Bank (PDB) ID code 4KR0]. (D) Footprint of LCA60 antibody (light green) and CD26 (light blue) on the surface of MERS–RBD (white). Residues in contact with both LCA60 and CD26 are shown in violet.

Fig. S3.
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Fig. S3.

Computational docking results, scoring chart. After an initial “global search” (not shown), selected docking models were subjected to a refinement stage, shown here for model A (Top) and model B (Bottom). In these charts, each diamond represents a docking model (∼10,000 were generated); the rmsd from a reference structure is shown on the x axis; the docking algorithm score is shown on the y axis. Lower values indicate more favorable conformations. The presence of scoring funnels (bottom left of the two charts) representing several models with the same structure and a good docking score is often considered an indication of reliable docking results.

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Table S1.

Effect of S protein mutants on antibody binding

Fig. S4.
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Fig. S4.

Alignment of 21 sequences of the S protein RBD representative of 123 isolates from 2012 to 2015. Highlighted in red are the four positions at which mutations confer loss of LCA60 binding. Shown are the accession numbers for each sequence and in parentheses the number of isolates with identical sequence in the analyzed amino acid region.

According to model B, the LCA60 footprint on the RBD partially overlaps with that of the CD26 receptor (Fig. 3 C and D ), suggesting that LCA60 neutralizing activity results from interference with the RBD–CD26 interaction. Results of surface plasmon resonance (SPR) cross-competition experiments showed that LCA60 and 3B11 compete for binding to RBD, whereas LCA57 did not compete with either LCA60 or 3B11. In addition, LCA60 and 3B11, but not LCA57, prevented the binding of CD26 to RBD (Fig. 4). This is in agreement with the structural model presented and indicates that LCA60 and 3B11 neutralize MERS-CoV by blocking binding to its cellular receptor.

Fig. 4.
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Fig. 4.

LCA60 blocks MERS-CoV RBD binding to its cognate cellular receptor CD26. Cross-competition SPR assay was used to investigate the epitopes region; LCA57, LCA60, 3B11 antibodies and CD26 receptor (ligands) were first immobilized on different channels (vertical column) of the SPR chip. The spike protein was subsequently injected to form the complexes; finally, the three antibodies and the receptor (analytes) were injected one in each horizontal row. If a binding event is detected (red borders rectangle), the analyte has a different epitope from the ligand immobilized in the first step; if no binding is detected, ligand and analyte share overlapping epitopes.

LCA60 Prophylactic and Postexposure Efficacy in MERS-CoV–Susceptible Mice.

The LCA60 produced in the CHO cell line was tested in BALB/c mice that were sensitized to MERS-CoV infection by transduction with adenoviral vectors expressing human CD26 (17). In this model, as a result of virus receptor expression on lung cells, MERS-CoV gains entry to lungs and replicates as in human disease. However, replication and pathology are limited and the virus is cleared by day 7. hCD26-transduced mice were treated by i.p. injection of LCA60 at 1, 5, or 15 mg/kg either 1 d before (day –1) or 1 dafter intranasal infection (day +1) with EMC and London strains. The results showed that, in both prophylactic and postexposure settings, LCA60 treatment led to a 2–4 log reduction in lung viral titers on day 3 with undetectable levels obtained in nearly all mice by day 5 (Fig. 5 A–D ). In the same model, LCA60 administered on day +1 by intranasal delivery resulted, when titers were measured at day 3, in a significant dose-dependent inhibition of viral titers that was still detectable when the antibody was dosed at 0.12 mg/kg (Fig. 5E ).

Fig. 5.
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Fig. 5.

Passive transfer of LCA60 confers protection to mice prophylactically and therapeutically. We transferred 200 µL of diluted antibodies in PBS into Ad5-hDPP4–transduced BALB/c mice (6 wk, female) intraperitoneally 1 d before (A and C) or after (B and D) MERS-CoV EMC/2012 (EMC) (A and B) or London1/2012 (LD1) (C and D) infection. Mice were then infected with 1 × 105 pfu MERS-CoV intranasally. Virus titers in the lungs were measured at the indicated time points. (E) Intranasally delivered LCA60 protected MERS-CoV–infected mice. We transferred 50 µL of diluted antibodies in PBS intranasally into Ad5-hDPP4–transduced BALB/c mice (6 wk, female) 1 d after infection with 1 × 105 pfu of the EMC/2012 strain of MERS-CoV. Virus titers in the lungs were measured on day 3 after infection. Titers are expressed as pfu/g tissue. n = 3–4 mice per group per time point. *P < 0.05 compared with hIgG1 group.

We also used the mouse infection model to test whether the LCA60 MARM virus (carrying E536A and V33A mutations) might have an impaired fitness in vivo. The results showed that, as expected, LCA60 antibody was not effective prophylactically and that the mutant virus could replicate in CD26-transduced mice to levels comparable to the EMC parental virus (Fig. S5). We noted, however, that plaques of the LCA60 MARM were smaller in size compared with those of the original EMC strain.

Fig. S5.
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Fig. S5.

LCA60 antibody does not prevent infection. We transferred 200 µL of diluted antibodies in PBS into Ad5-hDPP4–transduced BALB/c mice (6 wk, female) at a dose of 15 mg/kg intraperitoneally 1 d before intranasal infection with MERS-CoV EMC (A and B) or EMC-LCA60 MARM (mutant) strains. Virus titers in the lungs were measured at the indicated time points. Titers are expressed as pfu/g tissue. n = 3 mice per group per time point. Of note, plaques of the LCA escape mutant strain are much smaller than those of the EMC strain.

The efficacy of LCA60 was also evaluated in a more stringent model of MERS-CoV–infected IFN-α/β receptor-deficient mice (IFNAR-KO). Once transduced with human CD26, these mice developed a more profound clinical disease following MERS-CoV infection, as shown by a body weight loss, prolonged virus shedding, and gross changes in histology (17). Administration of LCA60 at 15 mg/kg i.p. 1 d after infection reduced lung viral titers by more than three logs in mice infected with both London and EMC strains on both day 3 and 5 (Fig. 6 A and B ). In addition, LCA60 prevented body weight loss as well as perivascular and peribronchial lymphoid infiltration that in control mice further progressed to an interstitial pneumonia (Fig. 6 C and D ). In the same model, LCA60 administered at 10 mg/kg on day +1 by intranasal delivery resulted in a significant inhibition of viral titers on day 2, and to a major extent on day 4, compared with control mice (Fig. 6F ).

Fig. 6.
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Fig. 6.

LCA60 protected MERS-CoV–infected IFNAR-KO mice. We transferred 200 µL of diluted antibodies (15 mg/kg) in PBS into Ad5-hDPP4–transduced IFNAR-KO mice (6–12 wk) intraperitoneally 1 d after MERS-CoV infection. Mice were then infected with 1 × 105 pfu MERS-CoV London1/2012 strain (A) or EMC/2012 strain (B–E) intranasally. Virus titers in the lungs were measured at the indicated time points. Additional groups of animals were monitored daily for morbidity, mortality, and body weight loss up to 14 d after infection (C). The histologic analysis was performed on animals killed on day 7 after infection (D and E). Mice were anesthetized and transcardially perfused with PBS followed by zinc formalin. Lungs were removed, fixed in zinc formalin, and paraffin embedded. Sections were stained with hematoxylin and eosin for histological analysis. (F) Intranasally delivered LCA60-protected MERS-CoV–infected mice. We transferred 50 µL of diluted antibody (10 mg/kg) in PBS intranasally into Ad5-hDPP4–transduced IFNAR-KO mice (6 wk, female) 1 d after infection with 1 × 105 pfu of the EMC/2012 strain of MERS-CoV. Virus titers in the lungs were measured at the indicated time points. Titers are expressed as pfu/g tissue. n = 3 mice per group per time point. *P < 0.05 compared with hIgG1 or PBS groups.

Discussion

Clinical studies in patients with severe viral pneumonia caused by viral infections have shown that convalescent sera can have a therapeutic benefit. This has been demonstrated for infections including Spanish influenza pneumonia during 1918–1919 (18), SARS-CoV (19), H5N1 influenza A virus (20), and more recently severe H1N1 influenza A virus infection (21). However, the lack of availability of convalescent sera and the low antibody titers, like in the case of the patient described in this study, significantly limit the utility of this approach. Rapid isolation, purification, and production of specific human neutralizing monoclonal antibodies represent a safe, controlled, affordable, and unlimited source of the most potent antibodies present in convalescent sera, overcoming the limitations of patient-derived convalescent sera.

Due to the continuous emergence of new zoonotic viruses, there is a need to develop rapid pathways for the identification and development of new treatments for prophylaxis, postexposure prophylaxis, and therapy. This study illustrates an example of this approach for MERS. In particular, we have shown that a human neutralizing antibody can be isolated, characterized, and produced in large amounts in cell lines compatible for human use in a short period of only a few months. The efficiency of the B-cell interrogation method used was instrumental in isolating a rare cell from a small blood sample obtained from an individual who had mounted only a modest neutralizing antibody response. The isolation of antibodies using phage libraries can also be rapid but bears some risks for their development. In particular, due to scrambled VH–VL pairing, phage-derived antibodies carry a risk of autoreactivity and may not express well in mammalian cells, a fact that has significantly hampered their clinical development. Our data also show a rapid path for epitope mapping and mechanism of action studies using experimentally validated computational docking, viral escape mutant, and cross-competition assays.

This study also takes advantage of recent developments of animal models for emerging respiratory viral infections based on transient expression of human receptors in wild-type or immune-deficient mice. In this model, our antibody showed high efficacy both in prophylaxis and therapy, with reduction of lung viral titers of 100–1,000-fold, as well as reduction of signs and pathology. There is increasing evidence that antibodies can be efficiently delivered through nebulization (22 ⇓ –24). It was interesting to find that when administered intranasally LCA60 was effective in both mouse models and even when tested at concentrations as low as 0.12 mg/kg. These results suggest that it would be important to evaluate the local delivery of an antibody by nebulization, a route of administration that offers considerable advantages over the parenteral route, such as lower dosage, higher antibody concentration in lung fluids, and ease of multiple administrations.

LCA60 binds to an epitope in the S protein RBD with subnanomolar affinity and potently neutralizes MERS-CoV infection of multiple isolates. The epitope has partial overlap with the RBD–CD26 receptor interface, and antibody binding prevents interaction of the viral RBD with its cellular receptor. Therefore, inhibition of virus–receptor interactions is at least one major mechanism of LCA60 neutralization. Experimentally validated computational docking as well as generation of escape variants allowed identification of RBD residues critical for binding and neutralization. LCA60 has a novel epitope that is not affected by escape mutants generated by 3B11 and other phage-derived neutralizing antibodies.

The use of a single neutralizing antibody bears the risk of selecting escape mutants in vivo, a fact that has been demonstrated in vitro for LCA60 and the other described antibodies. The use of two antibodies against nonoverlapping sites may offer a solution to this problem. However, to date, all of the MERS-CoV neutralizing antibodies cross-compete, a finding that might not provide a rationale for combining these antibodies. Although recognizing that the full spectrum of MERS-CoV antigenic variation is still under study, it should be noted that the residues that are important for LCA60 binding are conserved in all MERS-CoV isolates, whereas 3B11 fails to recognize the London isolate due to the L506F mutation.

This work demonstrates the feasibility of using monoclonal antibodies isolated from memory B cells of survivors as a rapid response platform to protect the public health from emerging viruses like SARS or MERS-CoVs, or others, which are likely to continue to emerge.

Methods

Detailed information about generation of anti–MERS-CoV monoclonal antibodies, screening, in vitro characterization of antibodies, and testing in vivo can be found in SI Methods . All protocols in animal experiments were approved by the University of Iowa Institutional Animal Care and Use Committee.

SI Methods

Isolation of Monoclonal Antibodies.

IgG+ memory B cells were isolated from cryopreserved PBMC using CD22 microbeads (Miltenyi Biotec), followed by depletion of cells carrying IgM, IgD, and IgA by cell sorting, and immortalized with EBV and CpG in multiple replicate wells as previously described (25). Culture supernatants were tested for their ability to neutralize MERS-CoV London pseudovirus infection in a microneutralization assay. Positive cultures were collected and expanded. From positive cultures, the VH and VL sequences were retrieved by RT-PCR and cloned into human IgG1 and Ig kappa or Ig lambda expression vectors (kindly provided by Michel Nussenzweig, Rockefeller University, New York) essentially as described (26). Monoclonal antibodies were produced by transient transfection of 293 Freestyle cells (Invitrogen). Supernatants from transfected cells were collected after 7 d, and IgG was affinity purified by protein A chromatography (GE Healthcare) and desalted against PBS.

Production of LCA60 Antibody by Stably Transfected CHO Cells.

The stably transfected LCA60-producing cell line was developed using the GS Xceed Gene Expression System from Lonza. In particular, VH and VL sequences (synthetic genes codon optimized for expression in hamster cells) were cloned into the pXC-IgG1 and pXC-Lambda vectors, respectively. The IgG1 allotype used is the G1m3 [corresponding to IMGT allele IGHG1*03; also known as G1m(f), which is the most frequent allele in the Caucasoid population], and the lambda allotype is IGLC2*01 (GenBank accession no. J00253, lambda 2 isotype). The single-gene vectors containing the VH and VL sequences of the LCA60 antibody were then fused to form a double-gene vector that was subsequently linearized for the electroporation step (nucleofection using the Amaxa System Cell Line Nucleofector Kit V). The host cell line used here is CHOK1SV GS-KO from Lonza. Both alleles of the endogenous glutamine synthetase gene (GLUL, glutamate-ammonia ligase gene) have been “knocked out” by introduction of overlapping, out-of-frame deletions. The CHOK1SV GS-KO cell line is adapted for growth in suspension culture in a chemically defined, animal component-free medium. The generation of a stable cell line producing LCA60 was based on the initial selection of high-producing uncloned cell lines that were grown in suspension and tested for productivity in an abridged fed-batch culture process. The best cell line was tested for stability after 70 cell divisions and demonstrated to stably produce high levels of antibody. The selected cell line was then cloned by limiting dilution and the best cell line clone further selected for productivity and stability. A Research Cell Bank was finally generated and cryopreserved in multiple vials.

Pseudovirus Production and Pseudotyped Neutralization Assay.

Replication-incompetent viruses pseudotyped with the MERS-CoV London S gene (GenBank accession no. KC164505) were produced as previously described (27). Briefly, HEK293T/17 was cotransfected with an S-expressing plasmid (phCMV1) and with a complementing viral–genome reporter gene vector, pNL4-3.Luc+.E-R+ (provided by John R. Mascola, Vaccine Research Center, NIAID, NIH, Bethesda). A single-cycle infectivity assay was used to measure the neutralization of luciferase-encoding virions pseudotyped with the MERS-CoV S protein, as previously described (28). Briefly, appropriate dilutions of the virion-containing culture supernatants were preincubated at 37 °C for 1 h with antibodies at various concentrations. The virus–mAb mixtures were added to Vero cells and incubated for 3 d at 37 °C. The cells were then lysed with Britelite reagent (Perkin–Elmer), and the relative luminescence units (RLU) in the cell lysates was determined on a luminometer microplate reader (Veritas; Turner Biosystems). The reduction of infectivity was determined by comparing the RLU in the presence and absence of antibody and expressed as percentage of neutralization.

Surface Plasmon Resonance Binding and Competition Assays.

The affinity of CoV spike protein for LCA57, LCA60, and 3B11 antibodies and for the CD26 receptor was determined at 25 °C in 10 mM Hepes pH 7.4, 150 mM NaCl, 3 mM EDTA, and 0.005% Tween with a ProteOn XPR-36 instrument (Bio-Rad). Antibodies (concentration, 50 nM) and the CD26 receptor (concentration, 100 nM) were immobilized on the surface of a general amine coupling (GLM) sensor chip through standard amine coupling. S protein (Sino Biological) was injected at a flow rate of 100 μL/min (contact time, 3 min) at different concentrations (150, 75, 37.5, 18.7, and 9.4 nM, running in parallel on separate channels); dissociation was monitored for 10 min. Analyte responses were corrected for responses from parallel buffer-only injections. Curve fitting and data analysis were performed with Bio-Rad ProteOn Manager software (version 3.1.0.6). The epitope regions were investigated by a SPR cross-competition experiment exploiting the 6 × 6 array of the ProteOn XPR-36 (Bio-Rad). LCA57, LCA60, and 3B11 antibodies and the CD26 receptor were first immobilized on different channels (vertical column) of a GLM sensor chip through standard amine coupling (the concentration of all immobilized ligands was 100 nM). The S protein (Sino Biological, S1 1–725) was subsequently injected at a flow rate of 100 μL/min (contact time, 2 min) to form complexes. Finally the three antibodies and the receptor (analytes) were injected one in each horizontal row at a flow rate of 100 μL/min (contact time, 3 min) at 100 nM concentration. If a binding event is detected in this final step, the analyte has a different epitope from the ligand immobilized in the first step; if no binding is detected, ligand and analyte cross-compete and are likely to share overlapping epitopes.

Antibody Modeling and Docking.

LCA60 antibody was modeled according to the canonical structure method with the programs PIGS (29) and RosettaAntibody (30) as previously described (15). Eleven models with different H3 loop conformations were generated and independently used for docking. The structure of S protein RBD is available (10, 11) and was used for docking. Docking was performed with RosettaDock 3.4 as previously described (31). Briefly, each antibody model was docked to RBD; among the thousands of computationally generated complexes (typically 15,000 per model), the best solutions according to the algorithm were evaluated in terms of their agreement with initial experimental data (escape mutants). Two equally acceptable LCA60–RBD models were selected and subjected to a docking refinement run. S protein mutants were then designed to validate those models as described in the main text.

Mice, Virus, and Cells.

Specific pathogen-free 6–12-wk BALB/c mice and IFNAR−/− mice were purchased from the National Cancer Institute and Jackson Laboratories, respectively. Mice were maintained in the animal care facility at the University of Iowa. All protocols were approved by the University of Iowa Institutional Animal Care and Use Committee. The EMC/2012 strain of MERS-CoV (passage 8, designated MERS-CoV) was provided by Bart Haagmans and Ron Fouchier (Erasmus Medical Center, Rotterdam, The Netherlands). Recombinant adenoviral vectors expressing hDPP4 (Ad5-DPP4) were prepared as previously described (17) by the University of Iowa Gene Transfer Vector Core. African Green monkey kidney-derived Vero 81 cells [American type culture collection (ATCC) no. CCL81] were grown in DMEM (GIBCO) supplemented with 10% fetal bovine serum (FBS). MERS-CoV was passaged once on Vero 81 cells and titered on the same cell line by plaque assay.

Transduction, Infection, and Antibody Treatment of Mice.

Mice were lightly anesthetized with isoflurane and transduced intranasally with 2.5 × 108 pfu of Ad5-hDPP4 or Ad5-Empty in 75 μL DMEM. At 5 d posttransduction, mice were infected intranasally with MERS-CoV (1 × 105 pfu) in a total volume of 50 μL DMEM. Mice were monitored daily for morbidity and mortality. All work with MERS-CoV was conducted in the University of Iowa Biosafety Level 3 Laboratory. For i.p. antibody treatment, mice were injected with antibody in 200 μL PBS intraperitoneally 1 d before or after infection; for intranasal treatment, mice were lightly anesthetized with isoflurane and treated with antibodies in 50 μL PBS intranasally 1 d after infection.

Virus Titers.

To obtain virus titers, lungs were removed into PBS and homogenized using a manual homogenizer. Virus was titered on Vero 81 cells. Cells were fixed with 10% formaldehyde and stained with crystal violet 3 d postinfection. Viral titers are expressed as pfu/g tissue for MERS-CoV.

Plaque Reduction Neutralization Test.

Neutralization titers were determined using a virus plaque reduction assay. In brief, antibody samples were serially diluted in DMEM and mixed 1:1 with MERS-CoV. The mixture was incubated at 37 °C for 1 h before exposure to Vero81 cells for an additional 1-h incubation. Plates were then overlaid with 1.2% agarose for 3 d. Plaques were visualized by 0.1% crystal violet staining. Antibody concentration curves were fit to sigmoid concentration–response curves and used to calculate 50% of maximal neutralizing effect (EC50) values (32).

Histology.

Animals were anesthetized and transcardially perfused with PBS followed by zinc formalin. Lungs were removed, fixed in zinc formalin, and paraffin embedded. Sections were stained with hematoxylin and eosin.

Statistical Analysis.

A Student’s t test was used to analyze differences in mean values between groups. All results are expressed as means ± SEs of the means. P values < 0.05 were considered statistically significant.

Acknowledgments

R.S.B. is supported by National Institute of Allergy and Infectious Diseases (NIAID) Grants AI085524 and AI110700, and S.P. is supported by NIH Grants RO1 AI091322 and PO1 AI060699. M.Z. and R.G. are both supported by Public Health England. A.L. and L.V. are supported by Swiss National Science Foundation Grants 147662 and 138518, respectively. A.L. is also supported by the Swiss Vaccine Research Institute. The Institute for Research in Biomedicine is supported by the Helmut Horten Foundation. We also acknowledge the contract support from NIAID HHSN272201000013I.

Footnotes

  • ↵ 1D.C. and J.Z. contributed equally to this work.

  • ↵ 2To whom correspondence should be addressed. Email: lanzavecchia{at}irb.usi.ch.
  • Author contributions: D.C., J.Z., F.S., R.S.B., L.V., M.Z., S.P., and A.L. designed research; D.C., J.Z., M.P., L.S., S.A., C.F., B.F.-R., G.A., F.V., and R.G. performed research; M.P., L.S., S.A., M.F., C.J.L., N.A.B., and L.V. contributed new reagents/analytic tools; D.C., J.Z., M.P., L.S., S.A., M.F., R.G., and L.V. analyzed data; and D.C., J.Z., F.S., R.S.B., L.V., M.Z., S.P., and A.L. wrote the paper.

  • Conflict of interest statement: A.L. is the scientific founder of Humabs BioMed SA. A.L. holds shares in Humabs BioMed SA. G.A., F.V., and D.C. are employees of Humabs Biomed, a commercial company that commercializes human monoclonal antibodies.

  • This article is a PNAS Direct Submission.

  • See Commentary on page 10082.

  • This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1510199112/-/DCSupplemental.

Freely available online through the PNAS open access option.

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Anti-MERS coronavirus human neutralizing antibody
Davide Corti, Jincun Zhao, Mattia Pedotti, Luca Simonelli, Sudhakar Agnihothram, Craig Fett, Blanca Fernandez-Rodriguez, Mathilde Foglierini, Gloria Agatic, Fabrizia Vanzetta, Robin Gopal, Christopher J. Langrish, Nicholas A Barrett, Federica Sallusto, Ralph S. Baric, Luca Varani, Maria Zambon, Stanley Perlman, Antonio Lanzavecchia
Proceedings of the National Academy of Sciences Aug 2015, 112 (33) 10473-10478; DOI: 10.1073/pnas.1510199112

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Anti-MERS coronavirus human neutralizing antibody
Davide Corti, Jincun Zhao, Mattia Pedotti, Luca Simonelli, Sudhakar Agnihothram, Craig Fett, Blanca Fernandez-Rodriguez, Mathilde Foglierini, Gloria Agatic, Fabrizia Vanzetta, Robin Gopal, Christopher J. Langrish, Nicholas A Barrett, Federica Sallusto, Ralph S. Baric, Luca Varani, Maria Zambon, Stanley Perlman, Antonio Lanzavecchia
Proceedings of the National Academy of Sciences Aug 2015, 112 (33) 10473-10478; DOI: 10.1073/pnas.1510199112
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