Evidence map›Paper›PMID 40568355›Full record

ReviewInternational journal of nanomedicine2025

MSC-Derived Extracellular Vesicles: Roles and Molecular Mechanisms for Tissue Repair.

Tingting Wu, Yajing Liu, Shuman Wang, Chen Shi

Abstract readReview
In one paragraph

Review in International journal of nanomedicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

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  10. [Menstrual blood-derived mesenchymal stem cell transplantation improves anti-fibrosis mechanisms in mouse models of alcoholic liver fibrosis].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2026
    Article
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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

4 authors.

Tingting Wu *Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Yajing Liu *Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Shuman WangDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
Chen ShiDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mesenchymal stem cells (MSCs) are pluripotent stem cells that have great potential in the field of regenerative medicine. Extracellular vesicles that derived from MSCs inherit the bioactive molecules, including lipids, proteins, nucleic acids, from the donate cells. With similar biological functions as MSCs, MSC-EVs show lower toxicity, better biocompatibility, stability, and less immune rejection. Therefore, MSC-EVs are emerging as a cell-free alternative therapy for MSC-based cell therapy. Here, we reviewed the characteristics of different subtype of MSC-EVs, the functional molecules in MSC-EVs for tissue repair, the potential applications of MSC-EVs for different tissue injuries in recent three years, and the clinical progress as well as the existing challenges in MSC-EV based therapy. This review would provide some insights for the future researches and clinical translation of MSC-EVs in regenerative medicine.

Indexed as

Extracellular VesiclesMesenchymal Stem CellsAnimalsHumansMesenchymal Stem Cell TransplantationRegenerative MedicineWound Healingcell-free therapyextracellular vesiclesmesenchymal stem cellsregenerative medicinetissue repair

Identifiers

PMID40568355
PMCPMC12191179

What OpenQuestion holds

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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.