Evidence map›Paper›PMID 39991734›Full record

ArticleFrontiers in endocrinology2025

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

Hengyan Zhang, Ye Zhou, Heguo Yan, Changxing Huang, Licong Yang, Yangwen Liu

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Hengyan Zhang *Department of Dermatology, Zhaotong Hospital of Traditional Chinese Medicine, Zhaotong, Yunnan, China.
Ye Zhou *Department of Endocrinology, Zhaotong Hospital of Traditional Chinese Medicine, Zhaotong, Yunnan, China.
Heguo YanDepartment of Endocrinology, Zhaotong Hospital of Traditional Chinese Medicine, Zhaotong, Yunnan, China.
Changxing HuangDepartment of Dermatology, Zhaotong Hospital of Traditional Chinese Medicine, Zhaotong, Yunnan, China.
Licong YangDepartment of Dermatology, Zhaotong Hospital of Traditional Chinese Medicine, Zhaotong, Yunnan, China.
Yangwen LiuDepartment of Endocrinology, Zhaotong Hospital of Traditional Chinese Medicine, Zhaotong, Yunnan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Diabetic 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 wound healing and prevent further complications. The CXCR4 gene is known to play a key role in cell migration, immunology response, and tissue repair, and thus may be an important target for DFU treatment. Methods: We used the GEO database (Gene Expression Omnibus database) to obtain DFU-related gene expression data, identified differentially expressed genes (DEGs), and performed enrichment analysis to reveal the related biological pathways. Meanwhile, protein-protein interaction (PPI) networks were constructed using STRING to identify core genes. Feature selection methods such as LASSO, SVM-RFE and random forest algorithm were applied to localize possible therapeutic target genes. Finally, We analyzed the molecular pathways of CXCR4 in DFUs by Gene set enrichment analysis (GSEA). Results: We identified a total of 751 differential genes, of which 409 genes were significantly upregulated and 342 genes were downregulated in diabetic foot ulcer tissues. Functional enrichment analysis showed that these genes were mainly involved in pathways such as oxidative phosphorylation, phagosome, synaptic vesicle cycle, and pathways of neurodegeneration. We integrated the genes screened by three machine learning models (LASSO, SVM, and Random Forest), and CXCR4 was identified as a key gene with potential therapeutic value in DFUs. Gene set enrichment analysis (GSEA) showed that CXCR4 was closely associated with pathways related to immunology regulation and tissue repair. Conclusion: 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.

Indexed as

Computational BiologyDiabetic FootMachine LearningReceptors, CXCR4Databases, GeneticGene Expression ProfilingGene Regulatory NetworksHumansProtein Interaction MapsWound HealingCXCR4 protein, humanReceptors, CXCR4bioinformaticsCXCR4diabetic foot ulcermachine learningtherapeutic targetwound healing

Identifiers

PMID39991734
PMCPMC11842251

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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.