Evidence map›Paper›PMID 41501630›Full record

ArticleBMC genomics2026

A transcriptome-based tool for assessing skin aging reveals the ameliorative effect of stem cell-derived extracellular vesicles on UVB-induced aging.

Jinpeng Xie, Lihong Wang, Shuaifei Zhao, Jue Wang, Yang Cheng, Lei Xu, Ting Kou, Ying Chen, Yuxiu Ying, Xiaoshuang Xin and 14 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC genomics, 2026. 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

24 authors.

Jinpeng XieOujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, P. R. China.
Lihong WangOujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, P. R. China.
Shuaifei ZhaoOujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, P. R. China.
Jue WangWenzhou Medical University, Wenzhou, Zhejiang, China.
Yang ChengOujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, P. R. China.
Lei XuOujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, P. R. China.
Ting KouOujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, P. R. China.
Ying ChenOujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, P. R. China.
Yuxiu YingOujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, P. R. China.
Xiaoshuang XinOujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, P. R. China.
Ting ZhangOujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, P. R. China.
Xu XuWenzhou Medical University, Wenzhou, Zhejiang, China.
Dandan LuWenzhou Medical University, Wenzhou, Zhejiang, China.
Xiangyu HuWenzhou Medical University, Wenzhou, Zhejiang, China.
Yusu ZhangOujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, P. R. China.
Chenyu QiuOujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, P. R. China.
Jun WangWenzhou Medical University, Wenzhou, Zhejiang, China.
Gu ChengOujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, P. R. China.
Jing ZhouWenzhou Medical University, Wenzhou, Zhejiang, China.
Siyun LeiOujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, P. R. China.
Qiqi LyuDepartment of Neuroradiology, Singapore General Hospital, Singapore, Singapore.
Jingtao LiOujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, P. R. China. Jli@ojlab.ac.cn.
Yihuai PanWenzhou Medical University, Wenzhou, Zhejiang, China. 773502228@qq.com.
Tong CaoOujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision and Brain Health), School of Pharmaceutical Science, Wenzhou Medical University, Wenzhou, P. R. China. dencaot@u.nus.edu.

Funding

Zhejiang Province 2024SSYS0056Zhejiang Provincial Oujiang Lab OJQD2022003
6 · The paper itself

Abstract

Quantifying biological aging is essential for understanding functional decline and evaluating anti-aging interventions. We present SkinAGE, a fast and resource-efficient transcriptome-based aging clock built using a deep neural network (DNN) trained on gene expression profiles of human dermal fibroblasts. SkinAGE accurately predicts cellular aging status across independent cohorts and a UVB-induced photoaging model. In 23rd-passage HFF-1 cells, the model assigned an average age score of 44, which increased by 24 units after UVB exposure, indicating enhanced transcriptomic senescence. Treatment with human embryonic stem cell-derived extracellular vesicles (hESC-EVs) reduced this score by an average of 21.2 units, suggesting a potent ameliorative effect on cellular aging. Transcriptomic analysis supported this, showing restoration of aging-related gene expression, including enrichment of cell cycle progression and p53 signaling pathways. Overall, SkinAGE provides a scalable, accurate, and cost-effective framework for quantifying cellular aging and assessing rejuvenation strategies.

Indexed as

Extracellular VesiclesGene Expression ProfilingHuman Embryonic Stem CellsSkin AgingTranscriptomeUltraviolet RaysCell LineCellular SenescenceFibroblastsHumansCellular senescenceDeep learningExtracellular vesiclesStem cellTranscriptomics

Identifiers

PMID41501630
PMCPMC12875025

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.