Cited by 1,667SARS-CoV-2 and COVID-19 ResearchMonoclonal and Polyclonal Antibodies ResearchAnimal Virus Infections Studies

Human neutralizing antibodies elicited by SARS-CoV-2 infection

Open access
Ju, Bin, Zhang, Qi, Ge, Jiwan, Wang, Ruoke, Sun, Jing, Ge, Xiangyang, Yu, Jiazhen, Shan, Sisi +16 more·2020·Nature

Published version of a preprint

Abstract

The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) presents a global health emergency that is in urgent need of intervention 1-3. The entry of SARS-CoV-2 into its target cells depends on binding between the receptor-binding domain (RBD) of the viral spike protein and its cellular receptor, angiotensin-converting enzyme 2 (ACE2)2,4-6. Here we report the isolation and characterization of 206 RBD-specific monoclonal antibodies derived from single B cells from 8 individuals infected with SARS-CoV-2. We identified antibodies that potently neutralize SARS-CoV-2; this activity correlates with competition with ACE2 for binding to RBD. Unexpectedly, the anti-SARS-CoV-2 antibodies and the infected plasma did not cross-react with the RBDs of SARS-CoV or Middle East respiratory syndrome-related coronavirus (MERS-CoV), although there was substantial plasma cross-reactivity to their trimeric spike proteins. Analysis of the crystal structure of RBD-bound antibody revealed that steric hindrance inhibits viral engagement with ACE2, thereby blocking viral entry. These findings suggest that anti-RBD antibodies are largely viral-species-specific inhibitors. The antibodies identified here may be candidates for development of clinical interventions against SARS-CoV-2.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41586-020-2380-z

Cites

57 of 57 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Ju, B., Zhang, Q., Ge, J., Wang, R., Sun, J., Ge, X., Yu, J., Shan, S., Zhou, B., Song, S., Tang, X., Yu, J., Lan, J., Yuan, J., Wang, H., Zhao, J., Zhang, S., Wang, Y., Shi, X., Liu, L., Zhao, J., Wang, X., Zhang, Z., & Zhang, L.
Affiliations
  • Southern University of Science and Technology (CN)
  • Tsinghua University (CN)
  • First Affiliated Hospital of Guangzhou Medical University (CN)
  • Shenzhen Third People’s Hospital (CN)
  • Shanghai Medical College of Fudan University (CN)
  • National Institutes for Food and Drug Control (CN)
Corresponding author
  • Zhang, Qi
  • Wang, Xinquan
  • Zhang, Zheng
  • Zhang, Linqi
Venue
Nature
Published
2020-05-26
Volume
584
Issue
7819
Pages
115-119
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W3029682964
Cited by
1,667
References
55
Citations by year
2026: 33 · 2025: 62 · 2024: 108 · 2023: 156 · 2022: 346 · 2021: 613 · 2020: 345 · 2018: 1 · 2014: 1
FWCI
48.02
Type
journal article
Language
en
Open access
Locations
  • Nature (publishedVersion)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
  • Bill and Melinda Gates Foundation
  • Tsinghua University (20201080053)
Topics
  • Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Monoclonal and Polyclonal Antibodies Research
  • Life Sciences › Agricultural and Biological Sciences › Animal Science and Zoology › Animal Virus Infections Studies
Keywords
SARS-CoV-2, COVID-19 pandemic, neutralizing antibodies, receptor binding domain, spike protein, ACE2, monoclonal antibodies, steric hindrance, cross-reactivity, SARS-CoV, MERS-CoV, viral entry inhibition, antibody crystal structure
MeSH terms
Betacoronavirus, Angiotensin-Converting Enzyme 2, COVID-19, SARS-CoV-2, Adult, Aged, Antibodies, Viral, B-Lymphocytes, Child, Clone Cells, Cross Reactions, Crystallization, Female, Humans, Peptidyl-Dipeptidase A, Male, Middle Aged, Models, Molecular, Neutralization Tests, Plasma, Pneumonia, Viral, Coronavirus Infections, Crystallography, X-Ray, Antibodies, Neutralizing, Pandemics, Spike Glycoprotein, Coronavirus

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review