ArticleFrontiers in surgery2022
Bioinformatic Analysis Reveals Hub Immune-Related Genes of Diabetic Foot Ulcers.
Article in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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Who cites it
11 citing papers in PubMed, 17 citations in OpenAlex.
- Clinical Outcomes of Hyperbaric Oxygen Therapy for Diabetic Foot Ulcers: A Systematic Review.Cureus · 2025Review
- Machine learning-driven discovery of novel therapeutic targets in diabetic foot ulcers.Molecular medicine (Cambridge, Mass.) · 2024Article
- Bioinformatics analysis identifies TGF-β signaling pathway-associated molecular subtypes and gene signature in diabetic foot.iScience · 2024Article
- Article
- A novel diabetic foot ulcer diagnostic model: identification and analysis of genes related to glutamine metabolism and immune infiltration.BMC genomics · 2024Article
- Comprehensive machine learning models for predicting therapeutic targets in type 2 diabetes utilizing molecular and biochemical features in rats.Frontiers in endocrinology · 2024Article
- UnravelingFrontiers in oncology · 2024Review
- Characterisation of key biomarkers in diabetic ulcers via systems bioinformatics.International wound journal · 2023Article
- Mini Review Therapeutic Strategies Targeting for Biofilm and Bone Infections.Frontiers in microbiology · 2022Review
- Role of M1 macrophages in diabetic foot ulcers and related immune regulatory mechanisms.Frontiers in pharmacology · 2022Article
- Multi-omics Identify the Role of FGF7 Pathway in Diabetic Foot Ulcers.Iranian journal of pharmaceutical research : IJPRArticle
Corrections and comments
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Authors and funding
11 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetic foot ulcer (DFU) is a complex and devastating complication of diabetes mellitus that are usually stagnant in the inflammatory phase. However, oral wound healing, which is characterized by a rapid and scarless healing process, is regarded an ideal model of wound healing. Thus, we performed a comprehensive bioinformatics analysis of the previously published data regarding oral ulcers and DFUs and found that compared to oral wound healing, the activated pathways of DFUs were enriched in cellular metabolism-related pathways but lacked the activation of inflammatory and immune-related pathways. We also found that CXCL11, DDX60, IFI44, and IFI44L were remarkable nodes since they had the most connections with other members of the module. Meanwhile, CXCL10, IRF7, and DDX58 together formed a closed-loop relationship and occupied central positions in the entire network. The real-time polymerase chain reaction and western blot was applied to validate the gene expression of the hub immune-related genes in the DFU tissues, it was found that CXCL11, IFI44, IFI44L, CXCL10 and IRF7 have a significant difference compared with normal wound tissues. Our research reveals some novel potential immune-related biomarkers and provides new insights into the molecular basis of this debilitating disease.
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