Evidence map›Paper›PMID 37819147›Full record

ArticleEmerging microbes & infections2023

A single immunization with core-shell structured lipopolyplex mRNA vaccine against rabies induces potent humoral immunity in mice and dogs.

Jiawu Wan, Jianmei Yang, Zongmei Wang, Ruizhong Shen, Chengguang Zhang, Yuntao Wu, Ming Zhou, Huanchun Chen, Zhen F Fu, Haiwei Sun and 4 more

Open access · goldAbstract read
In one paragraph

Article in Emerging microbes & infections, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

  1. Acta pharmaceutica Sinica. B · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Development of mRNA rabies vaccines.Human vaccines & immunotherapeutics · 2024
    Review
  10. Article
  11. IL-7 promotes mRNA vaccine-induced long-term immunity.Journal of nanobiotechnology · 2024
    Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Codon-optimization in gene therapy: promises, prospects and challenges.Frontiers in bioengineering and biotechnology · 2024
    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

14 authors at 4 institutions in 2 countries.

Jiawu WanState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, People's Republic of China.
Jianmei YangStemirna Therapeutics, Shanghai, People's Republic of China.
Zongmei WangState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, People's Republic of China.
Ruizhong ShenStemirna Therapeutics, Shanghai, People's Republic of China.
Chengguang ZhangState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, People's Republic of China.
Yuntao WuStemirna Therapeutics, Shanghai, People's Republic of China.
Ming ZhouState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, People's Republic of China.
Huanchun ChenState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, People's Republic of China.
Zhen F FuState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, People's Republic of China.
Haiwei SunStemirna Therapeutics, Shanghai, People's Republic of China.
Yinglei YiStemirna Therapeutics, Shanghai, People's Republic of China.
Haifa ShenStemirna Therapeutics, Shanghai, People's Republic of China.
Hangwen LiStemirna Therapeutics, Shanghai, People's Republic of China.
Ling ZhaoState Key Laboratory of Agricultural Microbiology, Huazhong Agricultural University, Wuhan, People's Republic of China.
Mirna Therapeutics (United States) · USWuhan University · CNCenter of Hubei Cooperative Innovation for Emissions Trading System · CNHuazhong Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The persistence and clinical consequences of rabies virus (RABV) infection have prompted global efforts to develop a safe and effective vaccines against rabies. mRNA vaccines represent a promising option against emerging and re-emerging infectious diseases, gaining particular interest since the outbreak of COVID-19. Herein, we report the development of a highly efficacious rabies mRNA vaccine composed of sequence-modified mRNA encoding RABV glycoprotein (RABV-G) packaged in core-shell structured lipopolyplex (LPP) nanoparticles, named LPP-mRNA-G. The bilayer structure of LPP improves protection and delivery of RABV-G mRNA and allows gradual release of mRNA molecules as the polymer degrades. The unique core-shell structured nanoparticle of LPP-mRNA-G facilitates vaccine uptake and demonstrates a desirable biodistribution pattern with low liver targeting upon intramuscular immunization. Single administration of low-dose LPP-mRNA-G in mice elicited potent humoral immune response and provided complete protection against intracerebral challenge with lethal RABV. Similarly, single immunization of low-dose LPP-mRNA-G induced high levels of virus-neutralizing antibody titers in dogs. Collectively, our data demonstrate the potential of LPP-mRNA-G as a promising next-generation rabies vaccine used in human and companion animals.

Indexed as

RabiesRabies VaccinesRabies virusAnimalsAntibodies, ViralDogsHumansImmunity, HumoralImmunizationMicemRNA VaccinesRNA, MessengerTissue DistributionAntibodies, ViralmRNA VaccinesRabies VaccinesRNA, Messengerdogshumoral immunityLipopolyplexmRNA vaccineRABV

Identifiers

PMID37819147
PMCPMC10768744
OpenAlexW4387529001

What Socratic holds

Textmetadata
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 Socratic graph.