Evidence map›Paper›PMID 41322696›Full record

ArticleFrontiers in molecular biosciences2025

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

Chao Sima, Zhe Wang, Sisi Wang, Haiyang Wang, Zhonghua Sun, Haoguo Wang, Daning Liang, Jianchi Li, Zhenning Zhang

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Chao Sima *Department of Surgery, Shenzhen Guangming District People's Hospital, Shenzhen, Guangdong, China.
Zhe Wang *Department of Surgery, Shenzhen Guangming District People's Hospital, Shenzhen, Guangdong, China.
Sisi WangDepartment of Burns, The First People's Hospital of Zhengzhou, Zhengzhou, Henan, China.
Haiyang WangMedical School, Nanjing University, Nanjing, Jiangsu, China.
Zhonghua SunMedical School, Nanjing University, Nanjing, Jiangsu, China.
Haoguo WangCenter for Translational Medicine, Guangxi Medical University, Nanning, Guangxi, China.
Daning LiangDepartment of Surgery, Shenzhen Guangming District People's Hospital, Shenzhen, Guangdong, China.
Jianchi LiDepartment of Surgery, Shenzhen Guangming District People's Hospital, Shenzhen, Guangdong, China.
Zhenning ZhangDepartment of Surgery, Shenzhen Guangming District People's Hospital, Shenzhen, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

bioinformaticsDiabetic foot ulcersmachine learningmolecular dockingresveratrolScRNA-seq

Identifiers

PMID41322696
PMCPMC12660092

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.