Evidence map›Paper›PMID 23596577›Full record

ArticleClinical and experimental vaccine research2012

Mucosal vaccine adjuvants update.

Joon Haeng Rhee, Shee Eun Lee, Soo Young Kim

Abstract read
In one paragraph

Article in Clinical and experimental vaccine research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers.

0numbers the graph read from it
0cells of the map it votes in
69citing 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

69 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Frontiers in cellular and infection microbiology · 2025
    Review
  7. Review
  8. Article
  9. Review
  10. Vaccines · 2023
    Article
  11. Review
  12. Current Progress and Challenges in the Study of Adjuvants for Oral Vaccines.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2023
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

9 more citing papers are in PubMed but not listed here.

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

3 authors.

Joon Haeng RheeClinical Vaccine R&D Center, Chonnam National University Hwasun Hospital, Chonnam National University Medical School, Hwasun, Korea. ; Department of Microbiology and Research Institute of Vibrio Infections, Chonnam National University Medical School, Gwangju, Korea.
Shee Eun Lee
Soo Young Kim

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mucosal vaccination, capable of inducing protective immune responses both in the mucosal and systemic immune compartments, has many advantages and is regarded as a blue ocean in the vaccine industry. Mucosal vaccines can offer lower costs, better accessability, needle-free delivery, and higher capacity of mass immunizations during pandemics. However, only very limited number of mucosal vaccines was approved for human use in the market yet. Generally, induction of immune responses following mucosal immunization requires the co-administration of appropriate adjuvants that can initiate and support the effective collaboration between innate and adaptive immunity. Classically, adjuvant researches were rather empirical than keenly scientific. However, during last several years, fundamental scientific achievements in innate immunity have been translated into the development of new mucosal adjuvants. This review focuses on recent developments in the concepts of adjuvants and innate immunity, mucosal immunity with special interest of vaccine development, and basic and applied researches in mucosal adjuvant.

Indexed as

AdjuvantInnate immunityMucosalVaccine

Identifiers

PMID23596577
PMCPMC3623511

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.