Evidence map›Paper›PMID 33692208›Full record

ArticleJournal of virology2021

A vulnerable, membrane-proximal site in human respiratory syncytial virus F revealed by a prefusion-specific single-domain antibody.

Iebe Rossey, Ching-Lin Hsieh, Koen Sedeyn, Marlies Ballegeer, Bert Schepens, Jason S Mclellan, Xavier Saelens

Open access · greenAbstract read
In one paragraph

Article in Journal of virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Iebe RosseyVIB-UGent Center for Medical Biotechnology, Technologiepark-Zwijnaarde 75, 9052 Ghent, Belgium.
Ching-Lin HsiehDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, Texas, USA 78712.
Koen SedeynVIB-UGent Center for Medical Biotechnology, Technologiepark-Zwijnaarde 75, 9052 Ghent, Belgium.
Marlies BallegeerVIB-UGent Center for Medical Biotechnology, Technologiepark-Zwijnaarde 75, 9052 Ghent, Belgium.
Bert SchepensVIB-UGent Center for Medical Biotechnology, Technologiepark-Zwijnaarde 75, 9052 Ghent, Belgium.
Jason S MclellanDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, Texas, USA 78712.ORCID https://orcid.org/0000-0003-3991-542X
Xavier SaelensVIB-UGent Center for Medical Biotechnology, Technologiepark-Zwijnaarde 75, 9052 Ghent, Belgium xavier.saelens@vib-ugent.be.ORCID https://orcid.org/0000-0002-3861-6965
Ghent University · BEThe University of Texas at Austin · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human respiratory syncytial virus (RSV) is a major cause of lower respiratory tract disease, especially in young children and the elderly. The fusion protein (F) exists in a pre- and postfusion conformation and is the main target of RSV-neutralizing antibodies. Highly potent RSV-neutralizing antibodies typically bind sites that are unique to the prefusion conformation of F. In this study we screened a single-domain antibody (VHH) library derived from a llama immunized with prefusion-stabilized F and identified a prefusion F-specific VHH that can neutralize RSV A at subnanomolar concentrations. Structural analysis revealed that this VHH primarily binds to antigenic site I while also making contacts with residues in antigenic site III and IV. This new VHH reveals a previously underappreciated membrane-proximal region sensitive for neutralization.

Identifiers

PMID33692208
PMCPMC8139709
OpenAlexW3135097279

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.