Evidence map›Paper›PMID 42789562›Full record

ArticlePloS one2026

Ligustroside attenuates fibrosis-associated wound remodeling and suppresses fibrosis-related signaling in a rat excisional wound model.

Kaymin Wu, Rong Chen, Xin Liu, Youwu He

Abstract read
In one paragraph

Article in PloS one, 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
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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

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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

4 authors.

Kaymin WuDepartment of Plastic and Hand Surgery, Linping First People's Hospital, Hang Zhou, Zhejiang, China.
Rong ChenDepartment of Plastic and Hand Surgery, Linping First People's Hospital, Hang Zhou, Zhejiang, China.
Xin LiuDepartment of Basic Clinic Research, Zhejiang Province People's Hospital, Hang Zhou, Zhejiang, China.
Youwu HeDepartment of Plastic and Hand Surgery, Linping First People's Hospital, Hang Zhou, Zhejiang, China.ORCID https://orcid.org/0000-0002-4036-5843

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fibrosis-associated wound remodeling is a feature of cutaneous wound healing characterized by fibroblast activation, extracellular matrix deposition, and profibrotic signaling. Ligustroside, a major iridoid glycoside derived from Ligustrum lucidum, has demonstrated antifibrotic activity in several organ systems, but its effects on cutaneous wound remodeling remain unclear. In this study, a full-thickness excisional wound model was established in female Sprague-Dawley rats to investigate the effects of ligustroside on fibrosis-associated wound remodeling. Animals received ligustroside (5 or 10 mg/kg) or vehicle control. Wound formation was evaluated using the Vancouver Scar Scale, histopathological staining, and analysis of fibrosis-related markers. Ligustroside treatment significantly reduced wound severity during the remodeling phase and improved dermal architecture, as evidenced by decreased dermal thickening, reduced inflammatory infiltration, and more organized collagen fibers. Molecular analyses showed that ligustroside markedly downregulated α-smooth muscle actin and transforming growth factor-β1 expression, accompanied by showing a dose-responsive trend within the tested dose range. These findings indicate that ligustroside attenuates fibrosis-associated wound remodeling and suppresses fibrosis-related molecular responses, including TGF-β1 expression, myofibroblast activation, and extracellular matrix accumulation. Collectively, these results suggest that ligustroside may represent a promising plant-derived candidate for antifibrotic wound modulation.

Indexed as

Signal TransductionWound HealingActinsAnimalsDisease Models, AnimalFemaleFibrosisRatsRats, Sprague-DawleySkinTransforming Growth Factor beta1ActinsTransforming Growth Factor beta1

Identifiers

PMID42789562
PMCPMC13614567

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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.