Evidence map›Paper›PMID 34145291›Full record

ArticleNPJ vaccines2021

An epitope-specific chemically defined nanoparticle vaccine for respiratory syncytial virus.

Armando Zuniga, Oliver Rassek, Melissa Vrohlings, Aniebrys Marrero-Nodarse, Kerstin Moehle, John A Robinson, Arin Ghasparian

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in NPJ vaccines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

11 citing papers in PubMed, 24 citations in OpenAlex.

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  10. Predicting epitopes for vaccine development using bioinformatics tools.Therapeutic advances in vaccines and immunotherapy · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Armando ZunigaVirometix AG, Schlieren, Switzerland.
Oliver RassekVirometix AG, Schlieren, Switzerland.
Melissa VrohlingsVirometix AG, Schlieren, Switzerland.
Aniebrys Marrero-NodarseChemistry Department, University of Zurich, Zurich, Switzerland.
Kerstin MoehleChemistry Department, University of Zurich, Zurich, Switzerland.
John A RobinsonChemistry Department, University of Zurich, Zurich, Switzerland. john.robinson@chem.uzh.ch.ORCID http://orcid.org/0000-0001-7857-8556
Arin GhasparianVirometix AG, Schlieren, Switzerland. contactghasparian@gmail.com.ORCID http://orcid.org/0000-0002-8792-2045
University of Zurich · CHActelion (Switzerland) · CHBioNTech (United States) · USVir Biotechnology (Switzerland) · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Respiratory syncytial virus (RSV) can cause severe respiratory disease in humans, particularly in infants and the elderly. However, attempts to develop a safe and effective vaccine have so far been unsuccessful. Atomic-level structures of epitopes targeted by RSV-neutralizing antibodies are now known, including that bound by Motavizumab and its clinically used progenitor Palivizumab. We developed a chemically defined approach to RSV vaccine design, that allows control of both immunogenicity and safety features of the vaccine. Structure-guided antigen design and a synthetic nanoparticle delivery platform led to a vaccine candidate that elicits high titers of palivizumab-like, epitope-specific neutralizing antibodies. The vaccine protects preclinical animal models from RSV infection and lung pathology typical of vaccine-derived disease enhancement. The results suggest that the development of a safe and effective synthetic epitope-specific RSV vaccine may be feasible by combining this conformationally stabilized peptide and synthetic nanoparticle delivery system.

Identifiers

PMID34145291
PMCPMC8213762
OpenAlexW3169923298

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.