Single-cell RNA sequencing reveals a new mechanism of endothelial cell heterogeneity and healing in diabetic foot ulcers

Diabetic foot ulcers (DFU) are a common and severe complication among diabetic patients, posing a significant burden on patients' quality of life and healthcare systems due to their high incidence, amputation rates, and mortality. This study utilized single-cell RNA sequencing technology to deeply analyze the cellular heterogeneity of the skin on the feet ofDFU patients and the transcriptomic characteristics of endothelial cells, aiming to identify key cell populations and genes associated with the healing and progression of DFU. The study found that endothelial cells from DFU patients exhibited significant transcriptomic differences under various conditions, particularly in signaling pathways related to inflammatory responses and angiogenesis. Through trajectory analysis and cell communication research, we revealed the key role of endothelial cell subsets in the development of DFU and identified multiple important gene modules associated with the progression of DFU. Notably, the promoting effect of the SH3BGRL3 gene on endothelial cell proliferation, migration, and angiogenic capabilities under high glucose conditions was experimentally verified, providing a new potential target and theoretical basis for the treatment of DFU. This study not only enhances the understanding of the pathogenesis ofDFU but also provides a scientific basis for the development ofnew therapeutic strategies.

Authors

Institutions

Publication Details

Journal
Biology Direct
Published
2025-03-22
DOI
https://doi.org/10.1186/s13062-025-00628-9
Citations
4
Primary Topic
Angiogenesis and VEGF in Cancer
Type
article
Field-Weighted Citation Impact
3.22
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Single-cell RNA sequencing reveals a new mechanism of endothelial cell heterogeneity and healing in diabetic foot ulcers

Gaoyi Wang, Yucang He, Zibing Zhang, Songyun Zhao et al.
4 citations
Biology Direct
Angiogenesis and VEGF in Cancer
3.22
article

Single-cell RNA sequencing reveals a new mechanism of endothelial cell heterogeneity and healing in diabetic foot ulcers

Gaoyi Wang, Yucang He, Zibing Zhang, Songyun Zhao, Wanying Chen, Hua Yu, Hao Dai, Jiaheng Xie, Kaibo Liu, Liqun Li, Zihao Li
article en
4 citations

Abstract

Diabetic foot ulcers (DFU) are a common and severe complication among diabetic patients, posing a significant burden on patients' quality of life and healthcare systems due to their high incidence, amputation rates, and mortality. This study utilized single-cell RNA sequencing technology to deeply analyze the cellular heterogeneity of the skin on the feet ofDFU patients and the transcriptomic characteristics of endothelial cells, aiming to identify key cell populations and genes associated with the healing and progression of DFU. The study found that endothelial cells from DFU patients exhibited significant transcriptomic differences under various conditions, particularly in signaling pathways related to inflammatory responses and angiogenesis. Through trajectory analysis and cell communication research, we revealed the key role of endothelial cell subsets in the development of DFU and identified multiple important gene modules associated with the progression of DFU. Notably, the promoting effect of the SH3BGRL3 gene on endothelial cell proliferation, migration, and angiogenic capabilities under high glucose conditions was experimentally verified, providing a new potential target and theoretical basis for the treatment of DFU. This study not only enhances the understanding of the pathogenesis ofDFU but also provides a scientific basis for the development ofnew therapeutic strategies.

Biology DirectVol. 20(1)
Central South University (CN), Wenzhou Medical University (CN), First Affiliated Hospital of Wenzhou Medical University (CN), Xiangya Hospital Central South University (CN)
Zero hunger
Openalex Percentile: Top 9%
Angiogenesis and VEGF in Cancer
3.22
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.