Evidence map›Paper›PMID 42379744›Full record

ArticleIn vivo (Athens, Greece)

Combined All-trans Retinoic Acid and Rosiglitazone Alleviates Scleroderma Fibrosis by Suppressing the STAT3/Th17 Axis.

Hong-Mei Shao, Jun-Jie Chen, Shuang-Lin Cao

Abstract read
In one paragraph

Article in In vivo (Athens, Greece). 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

3 authors.

Hong-Mei ShaoDepartment of Dermatology, Affiliated Hospital of Nantong University, Nantong, P.R. China.
Jun-Jie ChenDepartment of Anesthesiology, Affiliated Hospital of Nantong University, Nantong, P.R. China.
Shuang-Lin CaoDepartment of Dermatology, Affiliated Hospital of Nantong University, Nantong, P.R. China; shuanglincao@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimEffective disease-modifying therapies for systemic sclerosis (scleroderma) remain a major clinical challenge. While all-trans retinoic acid (ATRA) and the PPARγ agonist rosiglitazone (RGZ) possess individual anti-fibrotic properties, their combined therapeutic potential and underlying mechanisms in scleroderma are unexplored. MATERIALS AND

methodsThis study investigated the efficacy and mechanisms of combined ATRA and RGZ therapy in a bleomycin (BLM)-induced murine scleroderma model and TGF-β1-stimulated NIH-3T3 fibroblasts. Pathological changes were assessed

resultsBLM-challenged mice exhibited pronounced dermal thickening, excessive collagen accumulation, and elevated Th17-related inflammatory responses. Strikingly, the ATRA+RGZ combination therapy significantly outperformed either monotherapy, robustly restoring normal skin architecture, reducing collagen density, and suppressing the expression of fibrotic mediators (TGF-β1, COL1a1) and Th17-associated factors (IL-17A, IL-6).

conclusionThe concurrent administration of ATRA and RGZ exerts superior protection against scleroderma fibrosis by converging on the inhibition of the STAT3/Th17 signaling axis. This study provides a compelling mechanistic rationale for repurposing and combining ATRA and RGZ as a translational strategy for scleroderma treatment.

Indexed as

RosiglitazoneScleroderma, SystemicSTAT3 Transcription FactorTh17 CellsTretinoinAnimalsBiomarkersBleomycinDisease Models, AnimalFibroblastsFibrosisMiceNIH 3T3 CellsPPAR-gamma AgonistsSignal TransductionSkinBiomarkersBleomycinPPAR-gamma AgonistsRosiglitazoneSTAT3 Transcription FactorTransforming Growth Factor beta1Tretinoinall-trans retinoic acidantifibrotic therapyrosiglitazoneSclerodermaSTAT3 signaling

Identifiers

PMID42379744
PMCPMC13321938

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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.