Utilizing bioinformatics and machine learning to identify CXCR4 gene-related therapeutic targets in diabetic foot ulcers

The findings suggest that CXCR4 and its related pathways play an important role in the pathogenesis of DFUs, providing a new perspective on targeted therapy for wound healing in diabetic patients. Further validation of the role of CXCR4 is expected to establish it as an important target in DFU management.

Authors

Publication Details

Journal
Frontiers in Endocrinology
Published
2025-02-07
DOI
https://doi.org/10.3389/fendo.2025.1520845
Citations
2
Primary Topic
Diabetic Foot Ulcer Assessment and Management
Type
article
Field-Weighted Citation Impact
2.59
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Utilizing bioinformatics and machine learning to identify CXCR4 gene-related therapeutic targets in diabetic foot ulcers

Hengyan Zhang, Yangwen Liu, Ye Zhou, Licong Yang et al.
2 citations
Frontiers in Endocrinology
Diabetic Foot Ulcer Assessment and Management
2.59
article

Utilizing bioinformatics and machine learning to identify CXCR4 gene-related therapeutic targets in diabetic foot ulcers

Hengyan Zhang, Yangwen Liu, Ye Zhou, Licong Yang, Heguo Yan, Changxing Huang
article en
2 citations

Abstract

The findings suggest that CXCR4 and its related pathways play an important role in the pathogenesis of DFUs, providing a new perspective on targeted therapy for wound healing in diabetic patients. Further validation of the role of CXCR4 is expected to establish it as an important target in DFU management.

Frontiers in EndocrinologyVol. 16
Good health and well-being
Openalex Percentile: Top 12%
Diabetic Foot Ulcer Assessment and Management
2.59
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.