Evidence map›Paper›PMID 40963883›Full record

ReviewClinical, cosmetic and investigational dermatology2025

The Anti-Aging Effects of Adipose-Derived Mesenchymal Stem Cell Exosomes on Skin and Their Potential for Personalized Skincare Applications.

Yan-Xiu Jin, Guang-Zhen Jin

Abstract readReview
In one paragraph

Review in Clinical, cosmetic and investigational dermatology, 2025. 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

2 authors.

Yan-Xiu JinSchool of Tourism Management, Yanbian University, Yanji, People's Republic of China.
Guang-Zhen JinInstitute of Tissue Regeneration Engineering, Dankook University, Cheonan, South Korea.ORCID 0009-0009-5528-9490

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stem cell-derive exosomes have gained increasing attention in the skincare industry in recent years due to their multiple anti-aging benefits. However, differences in cell sources lead to significant heterogeneity in the composition of secreted exosomes, resulting in inconsistent biological effects. Moreover, the lack of standardized production protocols and the technical challenges associated with large-scale manufacturing continue to limit their broader application in the beauty industry. As a narrative review, this article systematically summarizes the biological functions and mechanisms of action of autologous adipose mesenchymal stem cell-derived exosomes (AMSCs-Exos) in anti-skin aging, covering in vitro, in vivo, and clinical studies. Recent studies have shown that autologous exosomes derived from AMSCs not only possess the common bioactivity shared by stem cell-derived exosomes but also exhibit higher biocompatibility and a lower risk of pathogen transmission. In addition, their suitability for small-scale production makes them a more advantageous option. Furthermore, advances in artificial intelligence (AI) technology are driving the transformation of the cosmetics industry from traditional skincare to personalized skincare: AI provides a basis for the personalized matching of exosome dosage and delivery methods through high-precision skin condition monitoring. It optimizes the iteration of customized exosome products by integrating intelligent analysis of dynamic changes in users' skin texture and usage feedback, and achieves closed-loop management from "universal formulations" to "precision repair" by combining skin physiological data with user preferences. The integration of AI with AMSCs-Exos not only expands their potential in personalized skincare applications but also holds promise for generating valuable clinical data, thereby further advancing the concept and scientific development of precision skincare.

Indexed as

adipose-derived mesenchymal stem cellsanti-skin agingartificial intelligencecustomized cosmeticsexosomespersonalized skincare

Identifiers

PMID40963883
PMCPMC12439826

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.