Evidence mapPaperPMID 41743233Full record

ReviewInternational journal of nanomedicine2026

Mesenchymal Stem Cells-Derived Exosomes: Next-Generation Nanomedicines Toward Scarless Wound Healing.

Xiaohui Wang, Zhiyuan Xu, Yonggang Lv, Debing Xiang

Abstract readReview
In one paragraph

Review in International journal of nanomedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Xiaohui WangDepartment of Oncology, Chongqing University Jiangjin Hospital, Chongqing, 402260, People's Republic of China.
Zhiyuan XuKey Laboratory of Optoelectronic Technology & Systems (Ministry of Education), Chongqing University, Chongqing, 400044, People's Republic of China.
Yonggang LvState Key Laboratory of New Textile Materials and Advanced Processing, Wuhan Textile University, Wuhan, Hubei, 430200, People's Republic of China.
Debing XiangDepartment of Oncology, Chongqing University Jiangjin Hospital, Chongqing, 402260, People's Republic of China.ORCID 0009-0002-4258-2224

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The process of wound healing is intricate and, once disrupted, results in scar formation. Scar formation has negative physiological and psychological impacts on patients in addition to impeding the restoration of skin integrity and function. Increasing evidence indicates that factors such as angiogenesis, ECM deposition, and inflammation are all associated with scar formation. Given their excellent immunomodulatory and regenerative properties, mesenchymal stem cell-derived exosomes (MSCs-Exos) are increasingly favored in inhibiting scar formation during wound healing. This review begins with a summary of the key mechanisms of wound healing and scar formation, followed by the application of MSCs-Exos in attenuating the pathological process of scar formation, as well as its potential mechanisms of action. In addition, the current status and development prospects of engineered exosomes and hydrogel-combined exosomes in scar inhibition are further discussed. Finally, we evaluate the current challenges of using exosomes for scarless wound healing, including manufacturing standardization, dosing, delivery systems, and the lack of large-scale clinical data, which hold the potential to bridge the gap between the laboratory and the clinical.

Indexed as

CicatrixExosomesMesenchymal Stem CellsNanomedicineWound HealingAnimalsHumansengineered nanoparticleexosomeshydrogelmesenchymal stem cellsscarless wound healing

Identifiers

PMID41743233
PMCPMC12929217

What Socratic holds

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LicenceCC BY-NC
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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.