Evidence map›Paper›PMID 40969760›Full record

ReviewFrontiers in immunology2025

MS2 virus-like particles as a versatile platform for multi-disease vaccines: a review.

Guodong Zhou, Zhili Luo, Zhihui Zhang, Shengliang Cao, Yubao Li

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2025. 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
–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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Deletion ofFrontiers in microbiology · 2026
    Article
  7. Article
  8. 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

5 authors.

Guodong Zhou *College of Agriculture and Biology, Liaocheng University, Liaocheng, Shandong, China.
Zhili Luo *College of Agriculture and Biology, Liaocheng University, Liaocheng, Shandong, China.
Zhihui Zhang *Shandong Key Laboratory of Applied Technology for Protein and Peptide Drugs, Liaocheng University, Liaocheng, Shandong, China.
Shengliang CaoCollege of Agriculture and Biology, Liaocheng University, Liaocheng, Shandong, China.
Yubao LiCollege of Agriculture and Biology, Liaocheng University, Liaocheng, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coat protein of the MS2 self-assembles into virus-like particles (VLPs) with a diameter of 26 nm. These VLPs are devoid of the phage genome yet are efficiently recognized by the immune system, eliciting robust humoral and cellular immune responses. The structural characteristics of VLPs position them as a promising platform for the development of vaccines and diagnostic tools. Through genetic engineering, antigenic peptides up to 91 amino acids in length can be densely displayed at the N-terminal β-hairpin (AB loop) of the coat protein. Moreover, the fusion of an exogenous sequence with the 19-nucleotide pac site enables the selective incorporation of heterologous RNA into the VLPs. This feature has facilitated the broad application of VLPs in mRNA vaccine development. In this review, we provide a comprehensive overview of the advancements in MS2 phage coat protein VLP-based vaccine research, with a particular focus on their versatile applications in viral, parasite, chlamydial, and cancer immunotherapy. This work aims to serve as a valuable reference for the continued development of vaccines utilizing MS2 phage coat protein VLPs.

Indexed as

Capsid ProteinsLevivirusVaccines, Virus-Like ParticleViral VaccinesAnimalsHumansVaccine DevelopmentCapsid ProteinsVaccines, Virus-Like ParticleViral Vaccinesbacteriophagecoat protein (CP)MS2vaccineVLPs

Identifiers

PMID40969760
PMCPMC12440990

What OpenQuestion holds

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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.