Evidence map›Paper›PMID 42327492›Full record

ArticleBioactive materials2026

Neonatal muscle-derived extracellular vesicles containing miR-542-3p rejuvenate aged skeletal muscle via a functional microneedle patch.

Feifei Yuan, Yong Chen, Wenjie Li, Lin Zhang, Ruixue Du, Sheng Xu, Zhiyu Hu, Tao Zhang, Ling Qin, Hongbin Lu and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioactive materials, 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

11 authors.

Feifei YuanDepartment of Sports Medicine, Xiangya Hospital, Central South University, Changsha, China.
Yong ChenDepartment of Sports Medicine, Xiangya Hospital, Central South University, Changsha, China.
Wenjie LiDepartment of Sports Medicine, Xiangya Hospital, Central South University, Changsha, China.
Lin ZhangDepartment of Sports Medicine, Xiangya Hospital, Central South University, Changsha, China.
Ruixue DuDepartment of Sports Medicine, Xiangya Hospital, Central South University, Changsha, China.
Sheng XuDepartment of Spine Surgery and Orthopaedics, Xiangya Hospital, Central South University, Changsha, China.
Zhiyu HuKey Laboratory of Organ Injury, Aging and Regenerative Medicine of Hunan Province, Changsha, China.
Tao ZhangDepartment of Sports Medicine, Xiangya Hospital, Central South University, Changsha, China.
Ling QinMusculoskeletal Research Laboratory and Centre of Musculoskeletal Aging and Regeneration, Department of Orthopaedics and Traumatology, Faculty of Medicine, The Chinese University of Hong Kong, China.
Hongbin LuDepartment of Sports Medicine, Xiangya Hospital, Central South University, Changsha, China.
Chengjun LiDepartment of Sports Medicine, Xiangya Hospital, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Age-related skeletal muscle aging can lead to sarcopenia and is closely associated with cellular senescence and mitochondrial dysfunction. Neonatal mammalian muscle exhibits a strong regenerative capacity, and neonatal muscle extracellular vesicles (NMEVs) show therapeutic potential against skeletal muscle aging. In this study, we isolated NMEVs for the first time and found that they significantly alleviated palmitic acid (PA)-induced senescence, mitochondrial dysfunction, and lipid accumulation in C2C12 cells.

Indexed as

Cellular senescenceMicroneedle patchmiR-542-3pNeonatal muscle extracellular vesiclesSkeletal muscle aging

Identifiers

PMID42327492
PMCPMC13280126

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.