Evidence map›Paper›PMID 34326184›Full record

ArticleScience immunology2021

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

Shelley Klompus, Sigal Leviatan, Thomas Vogl, Roei D Mazor, Iris N Kalka, Liat Stoler-Barak, Nachum Nathan, Ayelet Peres, Lihee Moss, Anastasia Godneva and 10 more

Open access · hybridAbstract read
In one paragraph

Article in Science immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
2.3field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 49 citations in OpenAlex.

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  17. PhIP-Seq: methods, applications and challenges.Frontiers in bioinformatics · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 3 institutions in 1 country.

Shelley Klompus *Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.ORCID 0000-0002-2320-4570
Sigal Leviatan *Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.
Thomas Vogl *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.ORCID 0000-0002-3892-1740
Roei D Mazor *Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel.ORCID 0000-0002-4784-9808
Iris N KalkaDepartment of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel.ORCID 0000-0001-9375-2946
Liat Stoler-BarakDepartment of Immunology, Weizmann Institute of Science, Rehovot 76100, Israel.ORCID 0000-0001-8194-9979
Nachum NathanDepartment of Immunology, Weizmann Institute of Science, Rehovot 76100, Israel.
Ayelet PeresDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.ORCID 0000-0002-0188-7315
Lihee MossDepartment of Immunology, Weizmann Institute of Science, Rehovot 76100, Israel.
Anastasia GodnevaDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.ORCID 0000-0001-6992-5552
Sharon Kagan Ben TikvaDepartment of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel.ORCID 0000-0001-9174-3587
Eilat ShinarMagen David Adom Blood Services, Israel.
Hadas Cohen DvashiDepartment of Chemical and Structural Biology, Weizmann Institute of Science, Rehovot 7610001, Israel.
Ronen GabizonDepartment of Chemical and Structural Biology, Weizmann Institute of Science, Rehovot 7610001, Israel.
Nir LondonDepartment of Chemical and Structural Biology, Weizmann Institute of Science, Rehovot 7610001, Israel.ORCID 0000-0003-2687-0699
Ron DiskinDepartment of Chemical and Structural Biology, Weizmann Institute of Science, Rehovot 7610001, Israel.ORCID 0000-0002-2837-5897
Gur YaariDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel.ORCID 0000-0001-9311-9884
Adina WeinbergerDepartment of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel.ORCID 0000-0003-2231-4687
Ziv ShulmanDepartment 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.ORCID 0000-0002-9604-212X
Eran SegalDepartment 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.ORCID 0000-0002-6859-1164
Weizmann Institute of Science · ILBar-Ilan University · ILMagen David Adom · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Peptide LibraryAdolescentAdultAgedAnimalsAntibodies, ViralAntigens, ViralCoronavirusCoronavirus InfectionsCross ReactionsFemaleHumansMaleMiddle AgedYoung AdultZoonosesAntibodies, ViralAntigens, ViralPeptide Library

Identifiers

PMID34326184
PMCPMC9267281
OpenAlexW3186809114

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.