Evidence map›Paper›PMID 39295522›Full record

ArticleEmerging microbes & infections2024

A single dose of an ALVAC vector-based RABV virus-like particle candidate vaccine induces a potent immune response in mice, cats and dogs.

Xianyong Meng, Feihu Yan, Weiqi Wang, Shen Wang, Haiyang Cong, Jiaqi Li, Yongkun Zhao, Tiecheng Wang, Nan Li, Yuwei Gao and 3 more

Abstract read
In one paragraph

Article in Emerging microbes & infections, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Biomolecules · 2025
    Article
  3. 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

13 authors.

Xianyong MengCollege of Veterinary Medicine, Jilin agricultural University, Changchun, People's Republic of China.
Feihu YanKey Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, People's Republic of China.
Weiqi WangKey Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, People's Republic of China.
Shen WangKey Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, People's Republic of China.
Haiyang CongCollege of Veterinary Medicine, Jilin agricultural University, Changchun, People's Republic of China.
Jiaqi LiCollege of Veterinary Medicine, Jilin agricultural University, Changchun, People's Republic of China.
Yongkun ZhaoKey Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, People's Republic of China.
Tiecheng WangKey Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, People's Republic of China.
Nan LiKey Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, People's Republic of China.
Yuwei GaoKey Laboratory of Jilin Province for Zoonosis Prevention and Control, Changchun, Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Changchun, People's Republic of China.
Jianzhong WangCollege of Veterinary Medicine, Jilin agricultural University, Changchun, People's Republic of China.
Na FengCollege of Veterinary Medicine, Jilin agricultural University, Changchun, People's Republic of China.
Xianzhu XiaCollege of Veterinary Medicine, Jilin agricultural University, Changchun, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rabies, caused by the Rabies virus (RABV), is a highly fatal zoonotic disease. Existing rabies vaccines have demonstrated good immune efficacy, but the complexity of immunization procedures and high cost has impeded the elimination of RABV, particularly in the post-COVID-19 era. There is a pressing need for safer and more effective rabies vaccines that streamline vaccination protocols and reduce expense. To meet this need, we have developed a potential rabies vaccine candidate called ALVAC-RABV-VLP, utilizing CRISPR/Cas9 gene editing technology. This vaccine employs a canarypox virus vector (ALVAC) to generate RABV virus-like particles (VLPs). In mice, a single dose of ALVAC-RABV-VLP effectively activated dendritic cells (DCs), follicular helper T cells (Tfh), and the germinal centre (GC)/plasma cell axis, resulting in durable and effective humoral immune responses. The survival rate of mice challenged with lethal RABV was 100%. Similarly, in dogs and cats, a single immunization with ALVAC-RABV-VLP elicited a stronger and longer-lasting antibody response. ALVAC-RABV-VLP induced superior cellular and humoral immunity in both mice and beagles compared to the commercial inactivated rabies vaccine. In conclusion, ALVAC-RABV-VLP induced robust protective immune responses in mice, dogs and cats, offering a novel, cost-effective, efficient, and promising approach for herd prevention of rabies.

Indexed as

Antibodies, ViralRabiesRabies VaccinesRabies virusVaccines, Virus-Like ParticleAnimalsCanarypox virusCatsCRISPR-Cas SystemsDendritic CellsDogsFemaleGenetic VectorsImmunity, HumoralMiceMice, Inbred BALB CAntibodies, ViralRabies VaccinesVaccines, Virus-Like Particlecanarypox-virus vectorcatsCRISPR/Cas9dogsRabies virusvirus-like particles

Identifiers

PMID39295522
PMCPMC11443554

What OpenQuestion holds

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LicenceCC BY-NC
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.