Evidence map›Paper›PMID 42724764›Full record

ReviewFrontiers in cell and developmental biology2026

The pathogenesis of müller cell glial-mesenchymal transition in retinal fibrosis-related eye diseases.

Jun Zhang, Jiaojiao Feng, Jike Song, Hongsheng Bi

Abstract readReview
In one paragraph

Review in Frontiers in cell and developmental biology, 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
–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

4 authors.

Jun Zhang *Ophthalmology & Optometry Medical School, Shandong University of Traditional Chinese Medicine, Jinan, China.
Jiaojiao Feng *The First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, China.
Jike SongOphthalmology & Optometry Medical School, Shandong University of Traditional Chinese Medicine, Jinan, China.
Hongsheng BiOphthalmology & Optometry Medical School, Shandong University of Traditional Chinese Medicine, Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Retinal fibrosis represents an important pathological feature of several vision-threatening ocular diseases, including advanced diabetic retinopathy and neovascular age-related macular degeneration. Its progression may be associated with reactive changes in Müller glial cells and their acquisition of mesenchymal-like phenotypes. As the predominant glial population in the retina, Müller glial cells play crucial physiological roles in maintaining retinal homeostasis. However, under pathological conditions, they can become reactive and acquire mesenchymal- or myofibroblast-like features through a process referred to as glial-mesenchymal transition (GMT), potentially contributing to fibrotic remodeling. This review systematically examines the molecular mechanisms associated with Müller cell GMT, including the regulatory involvement of the TGF-β and Notch signaling pathways, inflammatory mediators, and oxidative stress. It discusses the potential contribution of GMT to retinal fibrotic progression. Furthermore, this article synthesizes the potential pathological and therapeutic relevance of GMT in related ocular diseases and discusses experimental intervention strategies targeting Müller cell phenotypic remodeling. Understanding the regulatory network of Müller cell GMT may inform the development of future therapeutic approaches to prevent or attenuate retinal fibrosis.

Indexed as

cellular transdifferentiationfibrogenic signalingglial-mesenchymal transitionmüller glial cellsretinal fibrosis

Identifiers

PMID42724764
PMCPMC13559432

What OpenQuestion holds

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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.