Evidence map›Paper›PMID 39567378›Full record

ReviewSeminars in immunopathology2024

Role of mucosal IgA antibodies as novel therapies to enhance mucosal barriers.

Peng Gao, Naoki Morita, Reiko Shinkura

Abstract readReview
In one paragraph

Review in Seminars in immunopathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Review
  11. Viral Prognosis Using Proteomics.Advances in experimental medicine and biology · 2026
    Review
  12. Article
  13. Review
  14. Review
  15. 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

3 authors.

Peng GaoLaboratory of Immunology and Infection Control, Institute for Quantitative Biosciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-Ku, Tokyo, 113-0032, Japan.
Naoki MoritaLaboratory of Immunology and Infection Control, Institute for Quantitative Biosciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-Ku, Tokyo, 113-0032, Japan.
Reiko ShinkuraLaboratory of Immunology and Infection Control, Institute for Quantitative Biosciences, The University of Tokyo, 1-1-1 Yayoi, Bunkyo-Ku, Tokyo, 113-0032, Japan. rshinkura@iqb.u-tokyo.ac.jp.ORCID http://orcid.org/0000-0002-7976-9933

Funding

AMED JP17gm1010008AMED JP223fa727001AMED JP223fa727002AMED JP22zf0127009AMED JP243fa627001
6 · The paper itself

Abstract

To prevent infection, the experience of the recent severe acute respiratory syndrome coronavirus 2 (SARS-CoV2) pandemic has led to recognition of the importance of not only vaccines but also the strengthening of mucosal barriers by secretory immunoglobulin A (IgA). Strong mucosal barrier provided by IgA is also possible to prevent allergies and chronic inflammatory conditions in the intestinal tract, since it can protect foreign enemies or antigens at the first line of defense before their invasion. Therefore, it is important to understand the role of IgA antibodies secreted by the mucosa of the body. In this section, we discuss the role of mucosal IgA antibodies in relation to three disease states: control of intestinal microbiota, protection against infection, and allergy. In addition, we provide the evidence in which the quality as well as the quantity of IgA is critical for disease prevention. Therefore, we discuss about novel strategies to enhance mucosal barriers by induction of high-quality IgA.

Indexed as

COVID-19Gastrointestinal MicrobiomeImmunity, MucosalImmunoglobulin A, SecretoryIntestinal MucosaSARS-CoV-2AnimalsHumansHypersensitivityImmunoglobulin AImmunoglobulin AImmunoglobulin A, SecretoryAllergyGut microbiotaImmunoglobulin AMucosal immunityVaccines

Identifiers

PMID39567378
PMCPMC11579142

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.