Evidence map›Paper›PMID 40438040›Full record

ArticleFrontiers in public health2025

ADSC-derived exosomes mitigate radiation-induced skin injury by reducing oxidative stress, inflammation and cell death.

Zhe Liu, Jiawei Gu, Yakun Gao, Hao Hu, Hua Jiang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

5 authors.

Zhe LiuDepartment of Plastic Surgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Jiawei GuDepartment of Plastic Surgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Yakun GaoDepartment of Plastic Surgery, Shanghai Huashan Hospital, Fudan University School of Medicine, Shanghai, China.
Hao HuDepartment of Plastic Surgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.
Hua JiangDepartment of Plastic Surgery, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Radiation-induced skin injury (RISI) is a significant complication of radiotherapy and affects over 95% of patients who undergo radiation treatment. The pathophysiological cascade of RISI includes oxidative stress, persistent inflammation, and excessive fibrotic remodeling. Current treatments provide limited efficacy and primarily focusing on symptomatic relief. Exosomes from adipose-derived stem cells (ADSC-Exo) offer promising therapeutic effects on multiple types of skin injury, while their roles in the treatment of RISI remains to be fully explored. Method: A mouse model of RISI and an Result: ADSC-Exo effectively alleviated radiation-induced skin injury and fibrosis, reduced macrophage infiltration, and promoted macrophage polarization toward the M2 phenotype. Additionally, ADSC-Exo decreased the expression levels of IL-1β and IL-6 in skin tissues after irradiation. In Conclusion: ADSC-Exo alleviated RISI through multifaceted effects, including macrophage polarization modulation, inflammation suppression, oxidative stress reduction, and inhibition of apoptosis and pyroptosis. These findings support the potential of ADSC-Exo as a promising cell-free therapy for RISI.

Indexed as

Cell DeathExosomesInflammationOxidative StressRadiation InjuriesAnimalsDisease Models, AnimalMaleMiceSkinadipose-derived stem cellscell deathexosomesradiation-induced skin fibrosisradiation-induced skin injuryROS

Identifiers

PMID40438040
PMCPMC12116344

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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.