Evidence map›Paper›PMID 39054263›Full record

ArticleFEBS letters2024

Topographical changes in extracellular matrix during skin fibrosis and recovery can be evaluated using automated image analysis algorithms.

Rachel H Wyetzner, Ella X Segal, Anna R Jussila, Radhika P Atit

Abstract read
In one paragraph

Article in FEBS letters, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Observational
  5. Wnt Activation in Mature Dermal Adipocytes Leads to Lipodystrophy and Skin Fibrosis via ATGL-Dependent Lipolysis.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
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.

Rachel H WyetznerDepartment of Biology, Case Western Reserve University, Cleveland, OH, USA.
Ella X SegalDepartment of Biology, Case Western Reserve University, Cleveland, OH, USA.
Anna R JussilaDepartment of Biology, Case Western Reserve University, Cleveland, OH, USA.
Radhika P AtitDepartment of Biology, Case Western Reserve University, Cleveland, OH, USA.ORCID https://orcid.org/0000-0002-3492-6552

Funding

TRAINING PROGRAM IN MUSCULOSKELETAL RESEARCHT32AR007505 · NIAMS · CASE WESTERN RESERVE UNIVERSITY · PI TRIOLO, RONALD J · 1986 to 2023
$6.3M
TRAINING IN INVESTIGATIVE AND MOLECULAR DERMATOLOGYT32AR007569 · NIAMS · CASE WESTERN RESERVE UNIVERSITY · PI COOPER, KEVIN D · 1991 to 2019
$2.7M
Mechanism and Impact of Dermal adipocyte remodeling in skin fibrosisR01AR076938 · NIAMS · YALE UNIVERSITY · PI ATIT, RADHIKA P, HORSLEY, VALERIE · 2020 to 2024
$2.4M
CLC NIH HHS AR7569-25NIAMS NIH HHS R01 AR076938NIAMS NIH HHS T32 AR007505NIAMS NIH HHS T32 AR007569NIH HHS AR076938NIH HHS AR 7505-31
6 · The paper itself

Abstract

Skin fibrosis is characterized by fibroblast activation and intradermal fat loss, resulting in excess deposition and remodeling of dermal extracellular matrix (ECM). The topography of the dominant ECM proteins, such as collagens, can indicate skin stiffness and remains understudied in evaluating fibrotic skin. Here, we adapted two different unbiased image analysis algorithms to define collagen topography and alignment in a genetically inducible and reversible Wnt activation fibrosis model. We demonstrated that Wnt-activated fibrotic skin has altered collagen fiber characteristics and a loss of collagen alignment, which were restored in the reversible model. This study highlights how unbiased algorithms can be used to analyze ECM topography, providing novel avenues to evaluate fibrotic skin onset, recovery, and treatment.

Indexed as

AlgorithmsCollagenExtracellular MatrixFibrosisSkinAnimalsFibroblastsImage Processing, Computer-AssistedMiceCollagencollagenimage analysis softwarematrix biologyskin fibrosistopographyWnt signaling

Identifiers

PMID39054263
PMCPMC11665952

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.