Evidence map›Paper›PMID 41224752›Full record

ReviewNPJ vaccines2025

Advances and prospects of respiratory mucosal vaccines: mechanisms, technologies, and clinical applications.

Jiaxuan Li, Guangshang Wu, Zhiwei Huang, Jutao Hu, Xiaotian Tie, Hao Wu, Zhiyi Wang, Keda Chen

Abstract readReview
In one paragraph

Review in NPJ vaccines, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Article
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  7. Review
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  11. Article
  12. Review
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  14. Materials today. Bio · 2026
    Article
  15. Article
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  20. 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

8 authors.

Jiaxuan Li *Key Laboratory of Artificial Organs and Computational Medicine of Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, P. R. China.
Guangshang Wu *Key Laboratory of Artificial Organs and Computational Medicine of Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, P. R. China.
Zhiwei Huang *Zhejiang Hospital, Zhejiang University School of Medicine, Hangzhou, China.
Jutao HuKey Laboratory of Artificial Organs and Computational Medicine of Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, P. R. China.
Xiaotian TieZhejiang Chinese Medical University, Hangzhou, China.
Hao WuZhejiang Chinese Medical University, Hangzhou, China.
Zhiyi WangKey Laboratory of Artificial Organs and Computational Medicine of Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, P. R. China.
Keda ChenKey Laboratory of Artificial Organs and Computational Medicine of Zhejiang Province, Shulan International Medical College, Zhejiang Shuren University, Hangzhou, P. R. China. chenkd@zjsru.edu.cn.

Funding

Scientific and technological Innovation activity Plan and New Seedling Talent Plan for College students in Zhejiang Province ZSJ1724303CUniversity Level Scientific Research Project of Zhejiang Shuren University 2024R057
6 · The paper itself

Abstract

Respiratory mucosal immunity constitutes a critical barrier against pathogen invasion and has emerged as a promising target for vaccine development. This review outlines current understanding of its mechanisms, recent technological advances, and clinical progress. Compared with conventional vaccines, mucosal vaccines more effectively elicit localized and systemic immune responses. Key challenges and future directions are discussed, highlighting their potential in controlling emerging respiratory infections through improved immunological protection.

Identifiers

PMID41224752
PMCPMC12612081

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.