Evidence map›Paper›PMID 37188485›Full record

ReviewAllergy, asthma & immunology research2023

Bacterial Extracellular Vesicles: A Candidate Molecule for the Diagnosis and Treatment of Allergic Diseases.

Youngwoo Choi, Hae-Sim Park, Yoon-Keun Kim

Open access · diamondAbstract readReview
In one paragraph

Review in Allergy, asthma & immunology research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.0field-weighted citation impact, top 14% of its field
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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Optimizing genetic engineering approaches for protein loading into bacterial extracellular vesicles for vaginal drug delivery.Journal of controlled release : official journal of the Controlled Release Society · 2026
    Article
  2. Review
  3. Review
  4. Article
  5. State of the Art on the Role ofMicroorganisms · 2024
    Review
  6. New targets for type 2-low asthma.The Korean journal of internal medicine · 2024
    Review
  7. Review
  8. Article
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 at 1 institution in 1 country.

Youngwoo ChoiDepartment of Allergy and Clinical Immunology, Ajou University School of Medicine, Suwon, Korea.ORCID https://orcid.org/0000-0002-8384-9557
Hae-Sim Park *Department of Allergy and Clinical Immunology, Ajou University School of Medicine, Suwon, Korea. hspark@ajou.ac.kr.ORCID https://orcid.org/0000-0003-2614-0303
Yoon-Keun Kim *MD Healthcare Inc., Seoul, Korea. ykkim@mdhc.kr.
Ajou University · KR

Funding

Korea Health Industry Development Institute HR16C0001
6 · The paper itself

Abstract

Extracellular vesicles (EVs) are an end product released from almost all living cells such as eukaryotic cells and bacteria. These membrane vesicles containing proteins, lipids, and nucleic acids are mainly involved in intracellular communications through the transfer of their components from donor to acceptor cells. Moreover, EVs have been implicated in many functions in response to environmental changes, contributing to health and disease; bacterial EVs depending on their specific parental bacterium have diverse effects on immune responses to play a beneficial or pathogenic role in patients with various allergic and immunologic diseases. As bacterial EVs are a completely new area of investigation in this field, we highlight our current understanding of bacterial EVs and discuss their diagnostic and therapeutic potentials (as immunomodulators) for targeting asthma and atopic dermatitis.

Indexed as

Asthmaatopic dermatitisdiagnosisextracellular vesiclesmicrobiometherapy

Identifiers

PMID37188485
PMCPMC10186123
OpenAlexW4376642178

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.