Evidence map›Paper›PMID 40206077›Full record

ReviewFrontiers in pharmacology2025

Exosomes: an innovative therapeutic target for cerebral ischemia-reperfusion injury.

Yuan Yang, Yushan Duan, Jinxi Yue, Yue Yin, Yiming Ma, Xiaohong Wan, Jianlin Shao

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

7 authors.

Yuan Yang *Department of Critical Care Medicine, The Second Affiliated Hospital, Kunming Medical University, Kunming, China.
Yushan Duan *Department of Critical Care Medicine, The Second Affiliated Hospital, Kunming Medical University, Kunming, China.
Jinxi YueDepartment of Critical Care Medicine, The Second Affiliated Hospital, Kunming Medical University, Kunming, China.
Yue YinDepartment of Critical Care Medicine, The Second Affiliated Hospital, Kunming Medical University, Kunming, China.
Yiming MaDepartment of Critical Care Medicine, The Second Affiliated Hospital, Kunming Medical University, Kunming, China.
Xiaohong WanDepartment of Critical Care Medicine, The Second Affiliated Hospital, Kunming Medical University, Kunming, China.
Jianlin ShaoDepartment of Anesthesiology, The First Affiliated Hospital, Kunming Medical University, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ischemic stroke is caused by artery stenosis or occlusion, which reduces blood flow and may cause brain damage. Treatment includes restoring blood supply; however, ischemia-reperfusion can still aggravate tissue injury. Reperfusion injury can increase levels of reactive oxygen species, exacerbate mitochondrial dysfunction, create excessive autophagy and ferroptosis, and cause inflammation during microglial infiltration. Cerebral ischemia-reperfusion injury (CIRI) is a key challenge in the treatment of ischemic stroke. Currently, thrombolysis (e.g., rt-PA therapy) and mechanical thrombectomy are the primary treatments, but their application is restricted by narrow therapeutic windows (<4.5 h) and risks of hemorrhagic complications. Exosomes reduce CIRI by regulating oxidative stress, mitochondrial autophagy, inflammatory responses, and glial cell polarization. In addition, their noncellular characteristics provide a safer alternative to stem cell therapy. This article reviews the research progress of exosomes in CIRI in recent years.

Indexed as

autophagycerebral ischemia-reperfusion injuryexosomesmesenchymal stem cellsmitochondria

Identifiers

PMID40206077
PMCPMC11979243

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.