Evidence map›Paper›PMID 39536645›Full record

ReviewVirology2025

Strengths and limitations of SARS-CoV-2 virus-like particle systems.

Rokaia Sultana, Robert V Stahelin

Abstract readReview
In one paragraph

Review in Virology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
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

2 authors.

Rokaia SultanaBorch Department of Medicinal Chemistry and Molecular Pharmacology and The Purdue Institute of Inflammation, Immunology and Infectious Disease, Purdue University, 47907, West Lafayette, IN, USA.
Robert V StahelinBorch Department of Medicinal Chemistry and Molecular Pharmacology and The Purdue Institute of Inflammation, Immunology and Infectious Disease, Purdue University, 47907, West Lafayette, IN, USA. Electronic address: rstaheli@purdue.edu.

Funding

Elucidation of Assembly and Budding Mechanisms of SARS-CoV-2R01AI169896 · NIAID · PURDUE UNIVERSITY · PI Robert Virgil Stahelin · 2022 to 2026
$3.8M
NIAID NIH HHS R01 AI169896
6 · The paper itself

Abstract

Virus-like particles (VLPs) resemble the parent virus but lack the viral genome, providing a safe and efficient platform for the analysis of virus assembly and budding as well as the development of vaccines and drugs. During the COVID-19 pandemic, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the formation of SARS-CoV-2 VLPs was investigated as an alternative to authentic virions because the latter requires biosafety level 3 (BSL-3) facilities. This allowed researchers to model its assembly and budding processes, examine the role of mutations in variants of concern, and determine how the structural proteins interact with each other. Also, the absence of viral genome in VLPs circumvents worries of gains in infectivity via mutagenesis. This review summarizes the strengths and limitations of several SARS-CoV-2 VLP systems and details some of the strides that have been made in using these systems to study virus assembly and budding, viral entry, and antibody and vaccine development.

Indexed as

SARS-CoV-2Vaccines, Virus-Like ParticleAnimalsAntibodies, ViralCOVID-19COVID-19 VaccinesHumansVirionVirus AssemblyVirus InternalizationVirus ReleaseAntibodies, ViralCOVID-19 VaccinesVaccines, Virus-Like ParticleCoronavirusEnvelope proteinMembrane proteinNucleoproteinSARS-CoV-2Spike proteinVirus assemblyVirus buddingVirus-like particle

Identifiers

PMID39536645
PMCPMC11624109

What OpenQuestion holds

Textmetadata
LicenceTDM
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.