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

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

BackgroundDiabetic foot ulcers (DFUs) are a serious complication of diabetes mellitus that manifests as chronic, non-healing wounds that have a significant impact on patients quality of life. Identifying key molecular targets associated with DFUs could help develop targeted therapies to promote woun...

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Bibliographic Details
Main Authors: Hengyan Zhang, Ye Zhou, Heguo Yan, Changxing Huang, Licong Yang, Yangwen Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Endocrinology
Subjects:
diabetic foot ulcer
CXCR4
bioinformatics
machine learning
therapeutic target
wound healing
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2025.1520845/full
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https://www.frontiersin.org/articles/10.3389/fendo.2025.1520845/full

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