ArticleInternational wound journal2023
Characterisation of key biomarkers in diabetic ulcers via systems bioinformatics.
Article in International wound journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 7 citations in OpenAlex.
- Integrated treatment utilizing both Chinese and Western medicine for refractory diabetic foot ulcers: a case report.Frontiers in endocrinology · 2025Article
- Prediction of immune molecules activity during burn wound healing among elderly patients: in-silico analyses: experimental research.Annals of medicine and surgery (2012) · 2024Article
- Characterisation of key biomarkers in diabetic ulcers via systems bioinformatics.International wound journal · 2023Article
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
Abstract
Diabetic ulcers (DUs) are characterised by a high incidence and disability rate. However, its pathogenesis remains elusive. Thus, a deep understanding of the underlying mechanisms for the pathogenesis of DUs has vital implications. The weighted gene co-expression network analysis was performed on the main data from the Gene Expression Omnibus database. Gene Ontology (GO) terms, Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were adopted to analyse the potential biological function of the most relevant module. Furthermore, we utilised CytoHubba and protein-protein interaction network to identify the hub genes. Finally, the hub genes were validated by animal experiments in diabetic ulcer mice models. The expression of genes from the turquoise module was found to be strongly related to DUs. GO terms, KEGG analysis showed that biological functions are closely related to immune response. The hub genes included IFI35, IFIT2, MX2, OASL, RSAD2, and XAF1, which were higher in wounds of DUs mice than that in normal lesions. Additionally, we also demonstrated that the expression of hub genes was correlated with the immune response using immune checkpoint, immune cell infiltration, and immune scores. These data suggests that IFI35, IFIT2, MX2, OASL, RSAD2, and XAF1 are crucial for DUs.
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