Cross-reactive antibodies against human coronaviruses and the animal coronavirome suggest diagnostics for future zoonotic spillovers.


Journal

Science immunology
ISSN: 2470-9468
Titre abrégé: Sci Immunol
Pays: United States
ID NLM: 101688624

Informations de publication

Date de publication:
29 07 2021
Historique:
received: 27 09 2020
accepted: 27 07 2021
entrez: 30 7 2021
pubmed: 31 7 2021
medline: 7 8 2021
Statut: ppublish

Résumé

The spillover of animal coronaviruses (aCoVs) to humans has caused SARS, MERS, and COVID-19. While antibody responses displaying cross-reactivity between SARS-CoV-2 and seasonal/common cold human coronaviruses (hCoVs) have been reported, potential cross-reactivity with aCoVs and the diagnostic implications are incompletely understood. Here, we probed for antibody binding against all seven hCoVs and 49 aCoVs represented as 12,924 peptides within a phage-displayed antigen library. Antibody repertoires of 269 recovered COVID-19 patients showed distinct changes compared to 260 unexposed pre-pandemic controls, not limited to binding of SARS-CoV-2 antigens but including binding to antigens from hCoVs and aCoVs with shared motifs to SARS-CoV-2. We isolated broadly reactive monoclonal antibodies from recovered COVID-19 patients that bind a shared motif of SARS-CoV-2, hCoV-OC43, hCoV-HKU1, and several aCoVs, demonstrating that interspecies cross-reactivity can be mediated by a single immunoglobulin. Employing antibody binding data against the entire CoV antigen library allowed accurate discrimination of recovered COVID-19 patients from unexposed individuals by machine learning. Leaving out SARS-CoV-2 antigens and relying solely on antibody binding to other hCoVs and aCoVs achieved equally accurate detection of SARS-CoV-2 infection. The ability to detect SARS-CoV-2 infection without knowledge of its unique antigens solely from cross-reactive antibody responses against other hCoVs and aCoVs suggests a potential diagnostic strategy for the early stage of future pandemics. Creating regularly updated antigen libraries representing the animal coronavirome can provide the basis for a serological assay already poised to identify infected individuals following a future zoonotic transmission event.

Identifiants

pubmed: 34326184
pii: 6/61/eabe9950
doi: 10.1126/sciimmunol.abe9950
pmc: PMC9267281
pii:
doi:

Substances chimiques

Antibodies, Viral 0
Antigens, Viral 0
Peptide Library 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Commentaires et corrections

Type : CommentIn

Informations de copyright

Copyright © 2021, American Association for the Advancement of Science.

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Auteurs

Shelley Klompus (S)

Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.
Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel.

Sigal Leviatan (S)

Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.
Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel.

Thomas Vogl (T)

Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel thomas.vogl@weizmann.ac.il ziv.shulman@weizmann.ac.il eran.segal@weizmann.ac.il.
Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.
Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel.

Roei D Mazor (RD)

Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel.
Department of Immunology, Weizmann Institute of Science, Rehovot 76100, Israel.

Iris N Kalka (IN)

Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel.
Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.
Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel.

Liat Stoler-Barak (L)

Department of Immunology, Weizmann Institute of Science, Rehovot 76100, Israel.
Department of Immunology, Weizmann Institute of Science, Rehovot 76100, Israel.

Nachum Nathan (N)

Department of Immunology, Weizmann Institute of Science, Rehovot 76100, Israel.

Ayelet Peres (A)

Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.
Faculty of Engineering, Bar Ilan University, Ramat Gan 52900, Israel.

Lihee Moss (L)

Department of Immunology, Weizmann Institute of Science, Rehovot 76100, Israel.

Anastasia Godneva (A)

Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.
Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel.

Sharon Kagan Ben Tikva (S)

Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel.
Department of Immunology, Weizmann Institute of Science, Rehovot 76100, Israel.

Eilat Shinar (E)

Magen David Adom Blood Services, Israel.

Hadas Cohen Dvashi (HC)

Department of Chemical and Structural Biology, Weizmann Institute of Science, Rehovot 7610001, Israel.

Ronen Gabizon (R)

Department of Chemical and Structural Biology, Weizmann Institute of Science, Rehovot 7610001, Israel.

Nir London (N)

Department of Chemical and Structural Biology, Weizmann Institute of Science, Rehovot 7610001, Israel.

Ron Diskin (R)

Department of Chemical and Structural Biology, Weizmann Institute of Science, Rehovot 7610001, Israel.

Gur Yaari (G)

Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.
Faculty of Engineering, Bar Ilan University, Ramat Gan 52900, Israel.

Adina Weinberger (A)

Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel.
Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.
Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel.

Ziv Shulman (Z)

Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel thomas.vogl@weizmann.ac.il ziv.shulman@weizmann.ac.il eran.segal@weizmann.ac.il.
Department of Immunology, Weizmann Institute of Science, Rehovot 76100, Israel.

Eran Segal (E)

Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel thomas.vogl@weizmann.ac.il ziv.shulman@weizmann.ac.il eran.segal@weizmann.ac.il.
Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.
Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel.

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