Evidence map›Paper›PMID 42399493›Full record

ReviewDiscover nano2026

Tissue derived extracellular vesicles advance from disease mechanisms to clinical application.

Rui Dai, Jiayan Gao, Shenyuan Chen, Wenrong Xu, Jiajia Jiang

Abstract readReview
In one paragraph

Review in Discover nano, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Rui DaiCenter of Laboratory Medicine, Aoyang Institute of Cancer, Affiliated Aoyang Hospital of Jiangsu University, 279 Jingang Road, Suzhou, 215600, Jiangsu, China.
Jiayan GaoAffiliated Hospital of Changzhou University (Changzhou West Taihu Hospital), Changzhou, China.
Shenyuan ChenCenter of Laboratory Medicine, Aoyang Institute of Cancer, Affiliated Aoyang Hospital of Jiangsu University, 279 Jingang Road, Suzhou, 215600, Jiangsu, China.
Wenrong XuCenter of Laboratory Medicine, Aoyang Institute of Cancer, Affiliated Aoyang Hospital of Jiangsu University, 279 Jingang Road, Suzhou, 215600, Jiangsu, China. icls@ujs.edu.cn.
Jiajia JiangCenter of Laboratory Medicine, Aoyang Institute of Cancer, Affiliated Aoyang Hospital of Jiangsu University, 279 Jingang Road, Suzhou, 215600, Jiangsu, China. jiangjiajia_2001@163.com.ORCID https://orcid.org/0000-0003-2139-4240

Funding

Natural Science Foundation of China 82272179Technology Development Project of Suzhou MSXM2024049
6 · The paper itself

Abstract

Extracellular vesicles (EVs), nanoscale membranous structures secreted by cells, have gradually evolved from being passive communication vehicles and could now contribute to the development of engineerable theranostic nanoplatforms. Among these, tissue-derived extracellular vesicles (Ti-EVs) have demonstrated the potential for higher yields and may better reflect the physiological or pathological state of the tissue microenvironment compared to cell-culture counterparts. These advantages may make Ti-EVs potentially valuable tools for studying disease mechanisms and developing targeted therapies. This review provides a comprehensive overview of Ti-EVs, including their isolation, characterization, and biological functions in various diseases. By summarizing the latest research and technological advances, we evaluate the potential of Ti-EVs to serve as modulators of disease progression, and discuss the challenges in their clinical applications.

Indexed as

CharacterizationClinical applicationHeterogeneityIsolationTissue-derived extracellular vesicles

Identifiers

PMID42399493
PMCPMC13332100

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.