Evidence map›Paper›PMID 35320064›Full record

ArticleEmerging microbes & infections2022

Peptide microarrays coupled to machine learning reveal individual epitopes from human antibody responses with neutralizing capabilities against SARS-CoV-2.

Sven-Kevin Hotop, Susanne Reimering, Aditya Shekhar, Ehsaneddin Asgari, Ulrike Beutling, Christine Dahlke, Anahita Fathi, Fawad Khan, Marc Lütgehetmann, Rico Ballmann and 6 more

Open access · goldAbstract read
In one paragraph

Article in Emerging microbes & infections, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.7field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 28 citations in OpenAlex.

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  3. ACS pharmacology & translational science · 2025
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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

16 authors at 5 institutions in 2 countries.

Sven-Kevin HotopHelmholtz Centre for Infection Research, Braunschweig, Germany.
Susanne ReimeringHelmholtz Centre for Infection Research, Braunschweig, Germany.
Aditya ShekharHelmholtz Centre for Infection Research, Braunschweig, Germany.
Ehsaneddin AsgariHelmholtz Centre for Infection Research, Braunschweig, Germany.
Ulrike BeutlingHelmholtz Centre for Infection Research, Braunschweig, Germany.
Christine DahlkeUniversity Medical Centre Hamburg-Eppendorf, Hamburg, Germany.ORCID 0000-0002-2056-9195
Anahita FathiUniversity Medical Centre Hamburg-Eppendorf, Hamburg, Germany.
Fawad KhanHelmholtz Centre for Infection Research, Braunschweig, Germany.
Marc LütgehetmannPartner Site Hamburg-Lübeck-Borstel-Riems, German Centre for Infection Research, Germany.
Rico BallmannInstitut für Biochemie, Biotechnologie du Bioinformatik, Abteilung Biotechnologie, Technische Universität Braunschweig, Braunschweig, Germany.
Andreas GerstnerKlinikum Braunschweig, Hals-, Nasen-, Ohrenklinik, Braunschweig, Germany.
Werner TeggeHelmholtz Centre for Infection Research, Braunschweig, Germany.
Luka Cicin-SainHelmholtz Centre for Infection Research, Braunschweig, Germany.
Ursula BilitewskiHelmholtz Centre for Infection Research, Braunschweig, Germany.
Alice C McHardyHelmholtz Centre for Infection Research, Braunschweig, Germany.
Mark BrönstrupHelmholtz Centre for Infection Research, Braunschweig, Germany.
Helmholtz Centre for Infection Research · DEGerman Center for Infection Research · DEUniversität Hamburg · DEKlinikum Braunschweig · DETechnische Universität Braunschweig · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus SARS-CoV-2 is the causative agent for the disease COVID-19. To capture the IgA, IgG, and IgM antibody response of patients infected with SARS-CoV-2 at individual epitope resolution, we constructed planar microarrays of 648 overlapping peptides that cover the four major structural proteins S(pike), N(ucleocapsid), M(embrane), and E(nvelope). The arrays were incubated with sera of 67 SARS-CoV-2 positive and 22 negative control samples. Specific responses to SARS-CoV-2 were detectable, and nine peptides were associated with a more severe course of the disease. A random forest model disclosed that antibody binding to 21 peptides, mostly localized in the S protein, was associated with higher neutralization values in cellular anti-SARS-CoV-2 assays. For antibodies addressing the N-terminus of M, or peptides close to the fusion region of S, protective effects were proven by antibody depletion and neutralization assays. The study pinpoints unusual viral binding epitopes that might be suited as vaccine candidates

Indexed as

COVID-19SARS-CoV-2Antibodies, NeutralizingAntibodies, ViralAntibody FormationEpitopesHumansMachine LearningPeptidesSpike Glycoprotein, CoronavirusAntibodies, NeutralizingAntibodies, ViralEpitopesPeptidesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2COVID-19immunoassaysmachine learningneutralizing antibodiespeptide arraysSARS CoV-2serology

Identifiers

PMID35320064
PMCPMC9009950
OpenAlexW4221025934

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.