Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Mol. Biosci.

Sec. Molecular Diagnostics and Therapeutics

Investigating the molecular mechanisms of resveratrol in treating diabetic foot ulcers: a comprehensive analysis of network pharmacology and experiment validation

Provisionally accepted
Chao  SimaChao Sima1Zhe  WangZhe Wang1Sisi  WangSisi Wang2Haiyang  WangHaiyang Wang3Zhonghua  SunZhonghua Sun3Haoguo  WangHaoguo Wang4Daning  LiangDaning Liang1Jianchi  LiJianchi Li1Zhenning  ZhangZhenning Zhang1*
  • 1Shenzhen Guangming District People's Hospital, Shenzhen, China
  • 2the First People's Hospital of Zhengzhou, Zhengzhou, China
  • 3Nanjing University Medical School, Nanjing, China
  • 4Guangxi Medical University, Nanning, China

The final, formatted version of the article will be published soon.

Background: Diabetic foot ulcers (DFU) are one of the most common and severe complications of diabetes, closely associated with high amputation rates and mortality, and the clinical treatment research is still limited. Previous studies have demonstrated that resveratrol exerts positive effects in wound healing. Therefore, it is necessary to investigate its molecular mechanisms in treating DFU to improve clinical management of this condition. Methods: This study obtained DFU-related omics data from the GEO database and predicted targets for Resveratrol from TCMSP, PharmMapper, and Swiss Target Prediction. Differential analysis, weighted gene co-expression network analysis (WGCNA), and machine learning were used to jointly identify hub Resveratrol/DFU genes (RDGs). SsGSEA analysis was employed to investigate the relationship between RDGs and the DFU immune microenvironment. Single-cell RNA-seq was employed to investigate cellular heterogeneity of RDGs expression. Molecular docking studies examined interactions between RDGs and resveratrol. Finally, immunohistochemistry validated RDGs expression. Results: First, bioinformatics analyses and machine learning algorithms identified Cytidine deaminase (CDA) and Ornithine Decarboxylase 1 (ODC1) as RDGs. Second, ROC curves demonstrated RDGs' strong diagnostic performance for DFU. The ssGSEA algorithm revealed that RDGs partially mediate the immune microenvironment of DFU. Subsequently, scRNA-seq results demonstrated cellular heterogeneity of RDGs expression, which mediates alterations in the pathological microenvironment of DFU and consequently influences its progression. Subsequently, molecular docking revealed strong binding affinity between resveratrol and RDGs, suggesting resveratrol may exert therapeutic effects on DFU by regulating RDG activity through binding. Finally, immunohistochemistry further validated RDG expression, providing strong evidence for RDGs as novel therapeutic targets for DFU. Conclusion: Overall, this study identified RDGs as a key therapeutic target for resveratrol acting on DFU through a series of bioinformatics analyses and machine learning algorithms. Which not only fills the gap in the molecular mechanism of resveratrol treatment for DFU but also provides a novel therapeutic target for DFU.

Keywords: Diabetic foot ulcers, resveratrol, ScRNA-seq, bioinformatics, molecular docking, machine learning

Received: 18 Sep 2025; Accepted: 29 Oct 2025.

Copyright: © 2025 Sima, Wang, Wang, Wang, Sun, Wang, Liang, Li and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Zhenning Zhang, zznning1991@outlook.com

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.