Evidence map›Paper›PMID 35214764›Full record

ArticleVaccines2022

Induction of Broadly Cross-Reactive Antibodies by Displaying Receptor Binding Domains of SARS-CoV-2 on Virus-like Particles.

Xinyue Chang, Xuelan Liu, Mona O Mohsen, Andris Zeltins, Byron Martina, Monique Vogel, Martin F Bachmann

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  4. Review
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  8. Virus-like particle vaccinology, from bench to bedside.Cellular & molecular immunology · 2022
    Review
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 4 institutions in 5 countries.

Xinyue ChangDepartment of Rheumatology and Immunology, University Hospital Bern, 3010 Bern, Switzerland.
Xuelan LiuInternational Immunology Centre, Anhui Agricultural University, Hefei 230036, China.
Mona O MohsenDepartment of Rheumatology and Immunology, University Hospital Bern, 3010 Bern, Switzerland.
Andris ZeltinsLatvian Biomedical Research & Study Center, Ratsupites 1, LV1067 Riga, Latvia.
Byron MartinaArtemis Bio-Support, 2629 Delft, The Netherlands.
Monique VogelDepartment of Rheumatology and Immunology, University Hospital Bern, 3010 Bern, Switzerland.ORCID 0000-0002-5219-4033
Martin F BachmannDepartment of Rheumatology and Immunology, University Hospital Bern, 3010 Bern, Switzerland.ORCID 0000-0003-4370-2099
University of Bern · CHAnhui Agricultural University · CNArtemis One Health Research Foundation · NLLatvian Biomedical Research and Study Centre · LV

Funding

Swiss National Science Foundation 31003A 185114
6 · The paper itself

Abstract

The impact of the COVID-19 pandemic has been reduced since the application of vaccination programs, mostly shown in the reduction of hospitalized patients. However, the emerging variants, in particular Omicron, have caused a steep increase in the number of infections; this increase is, nevertheless, not matched by an increase in hospitalization. Therefore, a vaccine that induces cross-reactive antibodies against most or all variants is a potential solution for the issue of emerging new variants. Here, we present a vaccine candidate which displays receptor-binding domain (RBD) of SARS-CoV-2 on virus-like particles (VLP) that, in mice, not only induce strong antibody responses against RBD but also bind RBDs from other variants of concern (VOCs). The antibodies induced by wild-type (wt) RBD displayed on immunologically optimized Cucumber mosaic virus incorporated tetanus toxin (CuMV

Indexed as

COVID-19CuMVTTvaccinevirus-like particle

Identifiers

PMID35214764
PMCPMC8876827
OpenAlexW4212950852

What OpenQuestion holds

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LicenceCC BY
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.