Evidence map›Paper›PMID 40905747›Full record

ArticleTranslational vision science & technology2025

Tissue Architecture Modulates Compositional and Structural Properties of Corneal Myofibroblast-Derived Matrix.

Antonios Giannopoulos, Ludvig J Backman, Patrik Danielson

Abstract read
In one paragraph

Article in Translational vision science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

3 authors.

Antonios GiannopoulosDepartment of Medical and Translational Biology, Umeå University, Umeå, Sweden.
Ludvig J BackmanDepartment of Medical and Translational Biology, Umeå University, Umeå, Sweden.
Patrik DanielsonDepartment of Medical and Translational Biology, Umeå University, Umeå, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To develop an in vitro model that mimics aspects of corneal healing in humans for uncovering key mechanisms involved in the mechanisms involved in the healing and scarring processes. Methods: As part of the healing matrix, TGF-β1-induced and corneal-derived myofibroblasts were cultured in fibrin hydrogels with configurations that recapitulate the healthy (aligned) and wounded (random) microenvironment of the cornea. Results: Evaluation of cellular alpha smooth muscle actin (α-SMA) and collagen hybridizing peptide (CHP) showed cell and matrix alignment, respectively. The aligned compared to the random constructs demonstrated an increased ability to synthesize total soluble proteins, including collagen type V, but collagen type I levels were reduced. This finding reveals a differential pattern for these proteins. Additionally, the collagen fibril diameters were larger in the aligned tissue constructs compared to the random constructs. Fibronectin and CHP colocalization patterns did not differ between groups; however, fibronectin and decorin were increased in the aligned group in contrast to tenascin C, which showed no difference. Conclusions: These findings suggest that the alignment of the healing microenvironment plays a crucial role in modulating the structural properties of the extracellular matrix (ECM) and regulates the synthesis of key proteins that are closely involved in fibrillogenesis and are indicative of the quality of the deposited ECM. Translational Relevance: We developed a three-dimensional in vitro model that closely mimics in vivo conditions to investigate the role of corneal myofibroblasts in healing and regeneration. Ultimately, this model can help develop targeted antifibrotic therapies to prevent corneal scarring.

Indexed as

CorneaExtracellular MatrixMyofibroblastsWound HealingActinsCells, CulturedCollagenFibronectinsHumansHydrogelsTransforming Growth Factor beta1ActinsCollagenFibronectinsHydrogelsTransforming Growth Factor beta1

Identifiers

PMID40905747
PMCPMC12416519

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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.