Single cell transcriptomics reveals the cellular heterogeneity of keloids and the mechanism of their aggressiveness

Keloid is a dermatofibrotic disease known for its aggressive nature and characterized by pathological scarring, which often leads to disfigurement and frequent recurrences. Effective therapies for keloids are still limited, presumably due to the inadequate comprehension of their aggressive mechanisms. In our study, we examined the unique scenario where both keloid and non-aggressive pathological scar originate from the same patient, providing a rare opportunity to explore the aggressive mechanisms of keloids through single-cell RNA sequencing. We found that the dominant fibroblast subgroup in keloids is mechanoresponsive group, which showed enhanced mechanotransduction and migration. This mechanoresponsive fibroblast subgroup is likely to be the key cell population and confer aggressive growth of keloids. The results also indicate that the endothelial cells and keratinocytes in keloid involve in endothelial-mesenchymal and epithelial-mesenchymal transitions. This study demonstrated the mechanoresponsive fibroblasts and multiple cellular mesenchymal processes could pave the way for further investigations into the keloid aggressiveness.

Authors

Institutions

Publication Details

Journal
Communications Biology
Published
2024-12-19
DOI
https://doi.org/10.1038/s42003-024-07311-1
Citations
10
Primary Topic
Dermatologic Treatments and Research
Type
article
Field-Weighted Citation Impact
5.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Single cell transcriptomics reveals the cellular heterogeneity of keloids and the mechanism of their aggressiveness

Zhen Gao, Xinwei Cheng, Shengzhou Shan, Qingfeng Li et al.
10 citations
Communications Biology
Dermatologic Treatments and Research
5.35
article

Single cell transcriptomics reveals the cellular heterogeneity of keloids and the mechanism of their aggressiveness

Zhen Gao, Xinwei Cheng, Shengzhou Shan, Qingfeng Li, Haoyu Shen, Hongkun Zheng, Jia Zhou, Jin Lü
article en
10 citations

Abstract

Keloid is a dermatofibrotic disease known for its aggressive nature and characterized by pathological scarring, which often leads to disfigurement and frequent recurrences. Effective therapies for keloids are still limited, presumably due to the inadequate comprehension of their aggressive mechanisms. In our study, we examined the unique scenario where both keloid and non-aggressive pathological scar originate from the same patient, providing a rare opportunity to explore the aggressive mechanisms of keloids through single-cell RNA sequencing. We found that the dominant fibroblast subgroup in keloids is mechanoresponsive group, which showed enhanced mechanotransduction and migration. This mechanoresponsive fibroblast subgroup is likely to be the key cell population and confer aggressive growth of keloids. The results also indicate that the endothelial cells and keratinocytes in keloid involve in endothelial-mesenchymal and epithelial-mesenchymal transitions. This study demonstrated the mechanoresponsive fibroblasts and multiple cellular mesenchymal processes could pave the way for further investigations into the keloid aggressiveness.

Communications BiologyVol. 7(1)
Shanghai Jiao Tong University (CN), Chinese Academy of Sciences (CN), ShanghaiTech University (CN), Shanghai Institute of Nutrition and Health (CN), Shanghai Ninth People's Hospital (CN)
National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality, Shanghai Clinical Research Center
Openalex Percentile: Top 4%
Dermatologic Treatments and Research
5.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.