Evidence map›Paper›PMID 34948241›Full record

ReviewInternational journal of molecular sciences2021

Protein-Based Nanoparticle Vaccines for SARS-CoV-2.

Hyo-Dong Sung, Nayeon Kim, Yeram Lee, Eun Jung Lee

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

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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

4 authors.

Hyo-Dong SungDepartment of Chemical Engineering, School of Applied Chemical Engineering, Kyungpook National University, Daegu 41566, Korea.
Nayeon KimDepartment of Chemical Engineering, School of Applied Chemical Engineering, Kyungpook National University, Daegu 41566, Korea.
Yeram LeeDepartment of Chemical Engineering, School of Applied Chemical Engineering, Kyungpook National University, Daegu 41566, Korea.
Eun Jung LeeDepartment of Chemical Engineering, School of Applied Chemical Engineering, Kyungpook National University, Daegu 41566, Korea.ORCID 0000-0002-4248-8193

Funding

National Research Foundation of Korea NRF-2021R1C1C1008217
6 · The paper itself

Abstract

The pandemic caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has upended healthcare systems and economies around the world. Rapid understanding of the structural biology and pathogenesis of SARS-CoV-2 has allowed the development of emergency use or FDA-approved vaccines and various candidate vaccines. Among the recently developed SARS-CoV-2 candidate vaccines, natural protein-based nanoparticles well suited for multivalent antigen presentation and enhanced immune stimulation to elicit potent humoral and cellular immune responses are currently being investigated. This mini-review presents recent innovations in protein-based nanoparticle vaccines against SARS-CoV-2. The design and strategy of displaying antigenic domains, including spike protein, receptor-binding domain (RBD), and other domains on the surface of various protein-based nanoparticles and the performance of the developed nanoparticle-based vaccines are highlighted. In the final part of this review, we summarize and discuss recent advances in clinical trials and provide an outlook on protein-based nanoparticle vaccines.

Indexed as

AnimalsAntibodies, NeutralizingAntibodies, ViralAntigen PresentationCOVID-19COVID-19 VaccinesHumansNanoparticlesSARS-CoV-2Spike Glycoprotein, CoronavirusVaccinesAntibodies, NeutralizingAntibodies, ViralCOVID-19 VaccinesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Vaccinesnanomedicinenanovaccineprotein-based nanotechnologyprotein nanoparticlesSARS-CoV-2vaccines

Identifiers

PMID34948241
PMCPMC8703262

What Socratic holds

Textmetadata
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 Socratic graph.