Evidence map›Paper›PMID 40642264›Full record

ArticlePlastic and reconstructive surgery. Global open2025

Plant-based Exosome Injections for Skin Wound Healing: Experimental Study.

Noury Adel, Nenad Stankovic, Gerardo Cervantes, Amira Gindi, Lamiaa Mohamed Shawky

Abstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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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.

Noury AdelPrivate Practice, Cairo, Egypt.
Nenad StankovicPrivate Practice, Belgrade, Serbia.
Gerardo CervantesPrivate Practice, Valencia, Spain.
Amira GindiPrivate Practice, Toronto, Canada.
Lamiaa Mohamed ShawkyDepartment of Histology and Cell Biology, Benha Faculty of Medicine, Benha University, Benha, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: This study aimed to evaluate the impact of plant-derived exosome injections on the healing of skin wounds. Methods: A total of 18 Wistar Albino rats were included and randomly allocated into 2 groups. The first group underwent a scalpel incision on the ventral hand surface without any additional treatment. The second group received an identical incision, followed by injections of plant-based exosomes at the wound site. Tissue samples were collected at baseline, as well as on days 7 and 14, for histological assessment of wound healing. Hematoxylin and eosin and Masson trichrome staining were used to evaluate epithelial thickness, collagen deposition, and inflammatory cell infiltration. Results: The group receiving exosome injections exhibited a significantly enhanced wound healing response compared with the control group. Histological analysis revealed an increase in epithelial thickness, reduced inflammatory cell count, and greater collagen deposition with a more organized structural arrangement, indicating accelerated tissue repair. By day 14, wounds treated with exosomes demonstrated a well-formed epithelium and a substantial reduction in inflammation, highlighting the therapeutic potential of plant-derived exosomes in modulating wound healing dynamics. Conclusions: The administration of plant-based exosomes into skin wounds resulted in a notable improvement in the healing process. These findings suggest that exosome therapy may enhance tissue regeneration and expedite recovery, making it a promising approach for optimizing wound management and repair. Further research is warranted to explore its broader clinical applications.

Identifiers

PMID40642264
PMCPMC12245253

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Registered trials

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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.