Evidence map›Paper›PMID 41410284›Full record

ArticleDrug delivery2025

Induction of antigen-specific regulatory T cells by engineered extracellular vesicles.

Shota Imai, Kanto Nagamori, Uryo Onishi, Xiabing Lyu, Iriya Fujitsuka, Makie Ueda, Tomoyoshi Yamano, Rikinari Hanayama

Abstract read
In one paragraph

Article in Drug delivery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. 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

8 authors.

Shota ImaiDepartment of Immunology, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan.
Kanto NagamoriDepartment of Immunology, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan.
Uryo OnishiDepartment of Immunology, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan.
Xiabing LyuWPI Nano Life Science Institute (NanoLSI), Kanazawa University, Kanazawa, Ishikawa, Japan.
Iriya FujitsukaDepartment of Immunology, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan.
Makie UedaDepartment of Immunology, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan.
Tomoyoshi YamanoDepartment of Immunology, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan.
Rikinari HanayamaDepartment of Immunology, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are emerging as versatile nanocarriers for targeted drug delivery and immune modulation. However, strategies that can induce antigen-specific immune tolerance remain limited, highlighting an unmet need for more precise and effective approaches. To address this challenge, we aimed to develop a modular EV-based system capable of inducing antigen-specific regulatory T cells (Tregs). In this study, we developed engineered antigen-presenting EVs (AP-EVs) that co-display peptide-major histocompatibility complex class II complexes (pMHCII), interleukin-2 (IL-2), and transforming growth factor-

Indexed as

AntigensExtracellular VesiclesT-Lymphocytes, RegulatoryAnimalsInterleukin-2MiceMice, Inbred C57BLSirolimusTransforming Growth Factor betaAntigensInterleukin-2SirolimusTransforming Growth Factor betaantigen-specific immunotherapyexosomeExtracellular vesiclesimmune toleranceregulatory T cellsTGF-β

Identifiers

PMID41410284
PMCPMC12716476

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.