Evidence map›Paper›PMID 41385334›Full record

ReviewHuman vaccines & immunotherapeutics2025

mRNA vaccine platforms and novel delivery systems: From mechanistic principles to clinical translation.

Yunchang Yang, Yunqin Sun, Xinyao Kang, Yaofeng Wang

Abstract readReview
In one paragraph

Review in Human vaccines & immunotherapeutics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Yunchang YangSchool of Medical Imaging, North Henan Medical University, XinXiang, China.
Yunqin SunSchool of Medical Imaging, North Henan Medical University, XinXiang, China.
Xinyao KangSchool of Medical Imaging, North Henan Medical University, XinXiang, China.
Yaofeng WangSchool of Medical Imaging, North Henan Medical University, XinXiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Messenger RNA (mRNA) vaccines have revolutionized the field of vaccinology, offering rapid design flexibility, scalable manufacturing, and strong immunogenicity. The unprecedented success of COVID-19 mRNA vaccines has accelerated research into novel delivery platforms and expanded therapeutic applications beyond infectious diseases to cancer immunotherapy and immune-mediated disorders. This review provides a comprehensive overview of the mechanistic principles underlying mRNA vaccine design, including mRNA engineering strategies, delivery innovations such as lipid nanoparticles (LNPs), polymeric nanoparticles (PNPs), and virus-like particles (VLPs), as well as emerging needle-free administration technologies. We further highlight recent advances in therapeutic areas spanning infectious diseases (e.g. HIV, tuberculosis, respiratory syncytial virus), oncology, and non-traditional indications such as autoimmune disorders. Despite remarkable progress, critical challenges persist in vaccine stability, delivery efficiency, large-scale manufacturing, and global accessibility. Finally, we discuss future research directions integrating artificial intelligence, nanotechnology, and systems immunology to accelerate next-generation mRNA vaccine development and clinical translation.

Indexed as

COVID-19COVID-19 VaccinesDrug Delivery SystemsmRNA VaccinesRNA, MessengerVaccines, SyntheticHumansNanoparticlesSARS-CoV-2Vaccine DevelopmentVaccines, Virus-Like ParticleCOVID-19 VaccinesmRNA VaccinesRNA, MessengerVaccines, SyntheticVaccines, Virus-Like Particleartificial intelligencecancer immunotherapyglobal healthinfectious diseaseslipid nanoparticles (LNPs)mRNA vaccinesneedle-free deliverypolymeric nanoparticles (PNPs)vaccine stabilityvirus-like particles (VLPs)

Identifiers

PMID41385334
PMCPMC12713362

What OpenQuestion holds

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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.