Evidence mapPaperPMID 41800090Full record

ReviewFrontiers in pharmacology2026

Regulatory mechanisms of deer antler extracellular vesicles in multilevel tissue repair: a state-of-the-art review.

Lei Yuan, Bowen Deng, Fengrui Zhang, Deyou Wang, Haiyan Chen

Abstract readReview
In one paragraph

Review in Frontiers in pharmacology, 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

5 authors.

Lei YuanChangchun Sci-Tech University, Changchun, Jilin, China.
Bowen DengChangchun Sci-Tech University, Changchun, Jilin, China.
Fengrui ZhangChangchun Sci-Tech University, Changchun, Jilin, China.
Deyou WangChangchun Sci-Tech University, Changchun, Jilin, China.
Haiyan ChenChangchun Sci-Tech University, Changchun, Jilin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Extracellular vesicles (EVs) are defined as key nanoscale messengers that mediate intercellular communication, demonstrating immense potential in tissue repair and regenerative medicine. As the only organ in mammals capable of complete, cyclical regeneration, deer antlers provide EVs with exceptional regenerative bioactivity. This paper systematically reviews and prospectively discusses the research field of deer antler-derived EVs. We first outline their isolation strategies and characteristic functional subtypes, then focus on elucidating their multi-level molecular mechanisms driving tissue repair: at the cellular level, they directly regulate stem cell proliferation and lineage differentiation; at the microenvironmental level, they effectively remodel the immune ecology of injured areas by reprogramming immune cells and coordinating cytokine networks, thereby creating favorable conditions for regeneration. At the molecular level, they precisely regulate core signaling pathways, including the Wnt/β-catenin, NF-κB, miR-21-5p/STAT3, and TGF-β pathways. Finally, this paper prospectively explores cutting-edge developments in the field, including enhancing vesicle targeting and drug-loading capacity through engineering strategies, constructing controlled-release delivery systems based on smart materials, and developing precision therapies tailored to specific pathological microenvironments. This review aims to elucidate the biomedical potential of deer antler extracellular vesicles as regenerative nanomedicines for promoting tissue repair.

Indexed as

deer antlerextracellular vesiclesimmune microenvironmentregenerative medicinesignalling pathwaystissue repair

Identifiers

PMID41800090
PMCPMC12960187

What Socratic holds

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LicenceCC BY
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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.