Evidence map›Paper›PMID 38178928›Full record

ReviewRegenerative therapy2024

Exosomal microRNA-Based therapies for skin diseases.

Chen Jibing, Liang Weiping, Yang Yuwei, Feng Bingzheng, Xu Zhiran

Abstract readReview
In one paragraph

Review in Regenerative therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. Therapeutic Potential of Modulating Gene-MicroRNA Crosstalk in Burn Injury.International journal of molecular sciences · 2025
    Review
  9. Article
  10. Review
  11. The effect of plasma exosomal microRNA- 148a- 3p on the CD4Archives of dermatological research · 2025
    Article
  12. Review
  13. 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.

Chen JibingRuikang Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, China.
Liang WeipingRuikang Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, China.
Yang YuweiRuikang Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, China.
Feng BingzhengRuikang Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, China.
Xu ZhiranRuikang Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, Guangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Based on engineered cell/exosome technology and various skin-related animal models, exosomal microRNA (miRNA)-based therapies derived from natural exosomes have shown good therapeutic effects on nine skin diseases, including full-thickness skin defects, diabetic ulcers, skin burns, hypertrophic scars, psoriasis, systemic sclerosis, atopic dermatitis, skin aging, and hair loss. Comparative experimental research showed that the therapeutic effect of miRNA-overexpressing exosomes was better than that of their natural exosomes. Using a dual-luciferase reporter assay, the targets of all therapeutic miRNAs in skin cells have been screened and confirmed. For these nine types of skin diseases, a total of 11 animal models and 21 exosomal miRNA-based therapies have been developed. This review provides a detailed description of the animal models, miRNA therapies, disease evaluation indicators, and treatment results of exosomal miRNA therapies, with the aim of providing a reference and guidance for future clinical trials. There is currently no literature on the merits or drawbacks of miRNA therapies compared with standard treatments.

Indexed as

ExosomeMesenchymal stem cellmicroRNASkin agingSkin disease

Identifiers

PMID38178928
PMCPMC10765304

What OpenQuestion holds

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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.