Evidence map›Paper›PMID 40488291›Full record

ArticleJournal of cosmetic dermatology2025

A Novel Nude Mice Model for Studying the Pathogenesis of Keloid.

Ying Zhang, Yanqiu Bao, Zhouna Li, Zhehu Jin

Abstract read
In one paragraph

Article in Journal of cosmetic dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Ying ZhangDepartment of Dermatology, Shaoxing People's Hospital (Shaoxing Hospital, Zhejiang University School of Medicine), Shaoxing, Zhejiang, China.
Yanqiu BaoDepartment of Dermatology, Shaoxing People's Hospital (Shaoxing Hospital, Zhejiang University School of Medicine), Shaoxing, Zhejiang, China.
Zhouna LiDepartment of Dermatology, Affiliated Hospital of Yanbian University, Yanji, Jilin, China.ORCID https://orcid.org/0009-0000-6509-8502
Zhehu JinDepartment of Dermatology, Affiliated Hospital of Yanbian University, Yanji, Jilin, China.ORCID https://orcid.org/0000-0002-0397-3225

Funding

Central Guiding Local Science and Technology Development Project 222618JC010493399National Natural Science Foundation of Jilin Province
6 · The paper itself

Abstract

backgroundKeloid is a common fibroproliferative disorder, often manifesting symptoms such as itching and pain. Given the unique characteristics of keloids, their occurrence is primarily limited to humans, posing difficulties for spontaneous keloid development in animals. Consequently, the creation of animal models has somewhat impeded the comprehensive investigation of keloids.

aimsThe aim is to develop a keloid mouse model that mimics the formation process of human keloids, enabling researchers to gain a deeper understanding of their pathophysiological mechanisms and to explore effective therapeutic approaches.

methodsHuman keloid fibroblasts were isolated, cultured, and subcutaneously injected with Matrigel into nude mice at four concentrations (1 × 10

resultsKeloid-like nodules formed in a cell density-dependent manner, with the highest concentration group (7 × 10

conclusionThe combination of human keloid fibroblasts and Matrigel provides a simple and rational approach for constructing a nude mouse model, offering a reliable animal model for experimental and clinical research on the pathogenesis and treatment strategies of keloids.

Indexed as

Disease Models, AnimalKeloidAnimalsCollagenDrug CombinationsFemaleFibroblastsHumansLamininMiceMice, NudeProteoglycansCollagenDrug CombinationsLamininmatrigelProteoglycansfibroblastkeloidmatrigelmodelnude mice

Identifiers

PMID40488291
PMCPMC12147430

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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 Socratic graph.