Evidence map›Paper›PMID 40872966›Full record

ReviewVaccines2025

Decrypting the Immune Symphony for RNA Vaccines.

Brian Weidensee, Itishri Sahu

Abstract readReview
In one paragraph

Review in Vaccines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Review
  6. Review
  7. 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

2 authors.

Brian WeidenseeCenter for Oncological Research (CORE), Faculty of Medicine and Health Sciences, University of Antwerp, 2610 Antwerpen, Belgium.ORCID 0000-0002-1364-3959
Itishri SahuZiphius NV, Zwijnaarde, 9052 Ghent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Messenger RNA (mRNA) vaccine technology has revolutionized the field of immunization, offering a non-infectious, non-genome-integrating platform that addresses many limitations of traditional vaccine modalities. Recent advancements in chemical modifications, delivery systems, and manufacturing processes have enhanced the stability, efficacy, and safety of RNA-based therapeutics, expanding their application beyond infectious diseases to include genetic disorders, cancer, and rare diseases. Central to the success of RNA vaccines is their ability to orchestrate a finely tuned immune response, leveraging both innate and adaptive immunity to achieve robust and durable protection. This review synthesizes current knowledge on the immunological mechanisms underpinning RNA vaccine efficacy, with a focus on the roles of pattern recognition receptors (PRRs) such as Toll-like receptors (TLRs) and RIG-I-like receptors (RLRs) in sensing exogenous RNA, the impact of RNA modifications and manufacturing impurities on innate immune activation, and the subsequent cytokine and chemokine milieu that shapes adaptive responses. We also discuss the dual role of lipid nanoparticle (LNP) delivery systems as both carriers and adjuvants, highlighting their contribution to the vaccine's immunogenicity and reactogenicity profile. Understanding these complex immune interactions is critical for optimizing RNA vaccine design, minimizing adverse effects, and expanding their therapeutic potential. This review aims to provide a comprehensive overview of the immune symphony orchestrated by RNA vaccines and to identify key areas for future research to further refine and expand the utility of this transformative technology.

Indexed as

innate and adaptive immunityRNA vaccines

Identifiers

PMID40872966
PMCPMC12390541

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.