Evidence map›Paper›PMID 42275483›Full record

ArticleJournal of extracellular vesicles2026

Intranasal Delivery of Bacterial Extracellular Vesicles Enables RNA Cargo Entry Into the Brain.

Jae Yeong Ha, So-Mi Kim, Song-Yi Choi, Chanyong Park, Sungsu Park, Su-Hyung Hong, Il-Sung Jang, Youngkyun Lee, Heon-Jin Lee

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of extracellular vesicles, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Jae Yeong HaDepartment of Microbiology and Immunology, School of Dentistry, Kyungpook National University, Daegu, South Korea.
So-Mi KimDepartment of Microbiology and Immunology, School of Dentistry, Kyungpook National University, Daegu, South Korea.
Song-Yi ChoiDepartment of Microbiology and Immunology, School of Dentistry, Kyungpook National University, Daegu, South Korea.
Chanyong ParkDepartment of Diagnostic Sensors, Korea Institute of Machinery and Materials (KIMM), Daegu, South Korea.
Sungsu ParkSchool of Mechanical Engineering, Sungkyunkwan University, Suwon, South Korea.
Su-Hyung HongDepartment of Microbiology and Immunology, School of Dentistry, Kyungpook National University, Daegu, South Korea.ORCID https://orcid.org/0000-0001-5569-3826
Il-Sung JangOral-Brain Axis Research Laboratory, Kyungpook National University, Daegu, South Korea.
Youngkyun LeeOral-Brain Axis Research Laboratory, Kyungpook National University, Daegu, South Korea.
Heon-Jin LeeDepartment of Microbiology and Immunology, School of Dentistry, Kyungpook National University, Daegu, South Korea.ORCID https://orcid.org/0000-0002-1911-5014

Funding

Korean Government 2021R1A2C1004512Korean Government RS-2024-00405996National Research Foundation of Korea
6 · The paper itself

Abstract

Extracellular vesicles (EVs) released by bacteria are potent mediators of host-microbe interactions. They modulate immune responses, deliver functional molecules and influence disease progression. However, whether bacterial EVs can access the brain and functionally affect host cells remains unclear. In this study, we engineered Escherichia coli-derived EVs by electroporating Cre recombinase mRNA (Ec EV

Indexed as

BrainEscherichia coliExtracellular VesiclesRNA, MessengerAdministration, IntranasalAnimalsIntegrasesMiceMice, Inbred C57BLNasal MucosaOlfactory MucosaCre recombinaseIntegrasesRNA, MessengerbiochipCreendosomeextracellular vesiclesmT/mG miceRNA cargosensory neuron

Identifiers

PMID42275483
PMCPMC13257888

What OpenQuestion holds

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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.