Evidence map›Paper›PMID 38005829›Full record

ArticleViruses2023

Evaluation of the Neutralizing Antibody STE90-C11 against SARS-CoV-2 Delta Infection and Its Recognition of Other Variants of Concerns.

Leila Abassi, Federico Bertoglio, Željka Mačak Šafranko, Thomas Schirrmann, Marina Greweling-Pils, Oliver Seifert, Fawad Khan, Maeva Katzmarzyk, Henning Jacobsen, Natascha Gödecke and 10 more

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 5 institutions in 2 countries.

Leila AbassiDepartment of Viral Immunology, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124 Braunschweig, Germany.
Federico BertoglioInstitut für Biochemie, Biotechnologie und Bioinformatik, Technische Universität Braunschweig, Spielmannstr. 7, 38106 Braunschweig, Germany.ORCID 0000-0001-6477-1785
Željka Mačak ŠafrankoResearch Department, University Hospital for Infectious Diseases "Dr. Fran Mihaljević", 10000 Zagreb, Croatia.
Thomas SchirrmannYUMAB GmbH, Inhoffenstr. 7, 38124 Braunschweig, Germany.
Marina Greweling-PilsCore Facility of Comparative Medicine, Helmholtz Centre for Infection Research, 38124 Braunschweig, Germany.
Oliver SeifertInstitute of Cell Biology and Immunology, University of Stuttgart, 70174 Stuttgart, Germany.ORCID 0000-0003-1876-4212
Fawad KhanDepartment of Viral Immunology, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124 Braunschweig, Germany.
Maeva KatzmarzykDepartment of Viral Immunology, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124 Braunschweig, Germany.
Henning JacobsenDepartment of Viral Immunology, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124 Braunschweig, Germany.
Natascha GödeckeDepartment of Viral Immunology, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124 Braunschweig, Germany.
Philip Alexander HeineInstitut für Biochemie, Biotechnologie und Bioinformatik, Technische Universität Braunschweig, Spielmannstr. 7, 38106 Braunschweig, Germany.
André FrenzelYUMAB GmbH, Inhoffenstr. 7, 38124 Braunschweig, Germany.
Helena NowackInstitute of Cell Biology and Immunology, University of Stuttgart, 70174 Stuttgart, Germany.
Stefan DübelInstitut für Biochemie, Biotechnologie und Bioinformatik, Technische Universität Braunschweig, Spielmannstr. 7, 38106 Braunschweig, Germany.
Ivan-Christian KuroltResearch Department, University Hospital for Infectious Diseases "Dr. Fran Mihaljević", 10000 Zagreb, Croatia.ORCID 0000-0001-9536-1009
Roland E KontermannInstitute of Cell Biology and Immunology, University of Stuttgart, 70174 Stuttgart, Germany.
Alemka MarkotićResearch Department, University Hospital for Infectious Diseases "Dr. Fran Mihaljević", 10000 Zagreb, Croatia.
Maren SchubertInstitut für Biochemie, Biotechnologie und Bioinformatik, Technische Universität Braunschweig, Spielmannstr. 7, 38106 Braunschweig, Germany.ORCID 0000-0002-7041-9056
Michael HustInstitut für Biochemie, Biotechnologie und Bioinformatik, Technische Universität Braunschweig, Spielmannstr. 7, 38106 Braunschweig, Germany.
Luka Čičin-ŠainDepartment of Viral Immunology, Helmholtz Centre for Infection Research, Inhoffenstr. 7, 38124 Braunschweig, Germany.ORCID 0000-0003-3978-778X
Helmholtz Centre for Infection Research · DETechnische Universität Braunschweig · DEUniversity of Stuttgart · DEUniversity Hospital for Infectious Diseases "Dr Fran Mihaljevic" · HRUniversity of Rijeka · HR

Funding

European Union Horizon2020, 101003650Helmholtz Association of German Research Centres KA1-Co-02Helmholtz Association of German Research Centres PIE-008Niedersächsisches Ministerium für Wissenschaft und Kultur 14-76103-184 CORONA-2/20Niedersächsisches Ministerium für Wissenschaft und Kultur COFONI 10ff22
6 · The paper itself

Abstract

As of now, the COVID-19 pandemic has spread to over 770 million confirmed cases and caused approximately 7 million deaths. While several vaccines and monoclonal antibodies (mAb) have been developed and deployed, natural selection against immune recognition of viral antigens by antibodies has fueled the evolution of new emerging variants and limited the immune protection by vaccines and mAb. To optimize the efficiency of mAb, it is imperative to understand how they neutralize the variants of concern (VoCs) and to investigate the mutations responsible for immune escape. In this study, we show the in vitro neutralizing effects of a previously described monoclonal antibody (STE90-C11) against the SARS-CoV-2 Delta variant (B.1.617.2) and its in vivo effects in therapeutic and prophylactic settings. We also show that the Omicron variant avoids recognition by this mAb. To define which mutations are responsible for the escape in the Omicron variant, we used a library of pseudovirus mutants carrying each of the mutations present in the Omicron VoC individually. We show that either 501Y or 417K point mutations were sufficient for the escape of Omicron recognition by STE90-C11. To test how escape mutations act against a combination of antibodies, we tested the same library against bispecific antibodies, recognizing two discrete regions of the spike antigen. While Omicron escaped the control by the bispecific antibodies, the same antibodies controlled all mutants with individual mutations.

Indexed as

Antibodies, BispecificCOVID-19Hepatitis DVaccinesAntibodies, MonoclonalAntibodies, NeutralizingAntibodies, ViralHumansPandemicsSARS-CoV-2Spike Glycoprotein, CoronavirusAntibodies, BispecificAntibodies, MonoclonalAntibodies, NeutralizingAntibodies, ViralSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Vaccinesbispecific antibodiesDelta variantintranasal administrationintravenous administrationmice experimentsmonoclonal antibodypseudovirus assaySARS-CoV-2single mutations

Identifiers

PMID38005829
PMCPMC10675157
OpenAlexW4388262945

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.