Evidence map›Paper›PMID 21085599›Full record

ReviewPLoS pathogens2010

Enhancing oral vaccine potency by targeting intestinal M cells.

Ali Azizi, Ashok Kumar, Francisco Diaz-Mitoma, Jiri Mestecky

Abstract readReview
In one paragraph

Review in PLoS pathogens, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 2 pooled it
–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

66 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Journal of microbiology and biotechnology · 2025
    Pooled it
  3. Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Expression ofVaccines · 2023
    Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Oral drug delivery for immunoengineering.Bioengineering & translational medicine · 2022
    Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Oral Deliverable Mucoadhesive Chitosan-International journal of nanomedicine · 2020
    Article

6 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

4 authors.

Ali AziziInfectious Disease and Vaccine Research Center, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada. aazizi@uottawa.ca
Ashok Kumar
Francisco Diaz-Mitoma
Jiri Mestecky

Funding

Canadian Institutes of Health Research
6 · The paper itself

Abstract

The immune system in the gastrointestinal tract plays a crucial role in the control of infection, as it constitutes the first line of defense against mucosal pathogens. The attractive features of oral immunization have led to the exploration of a variety of oral delivery systems. However, none of these oral delivery systems have been applied to existing commercial vaccines. To overcome this, a new generation of oral vaccine delivery systems that target antigens to gut-associated lymphoid tissue is required. One promising approach is to exploit the potential of microfold (M) cells by mimicking the entry of pathogens into these cells. Targeting specific receptors on the apical surface of M cells might enhance the entry of antigens, initiating the immune response and consequently leading to protection against mucosal pathogens. In this article, we briefly review the challenges associated with current oral vaccine delivery systems and discuss strategies that might potentially target mouse and human intestinal M cells.

Indexed as

Drug Delivery SystemsAdministration, OralAnimalsHumansIntestinal MucosaMiceVaccinationVaccinesVaccines

Identifiers

PMID21085599
PMCPMC2978714

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.