Characterisation of key biomarkers in diabetic ulcers via systems bioinformatics.
Characterisation of key biomarkers in diabetic ulcers via systems bioinformatics.
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通过系统生物信息学表征糖尿病溃疡的关键生物标志物
DOI：
10.1111/iwj.13900
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发表时间：
2023-02
影响因子：
3.1
通讯作者：
中科院分区：
文献类型：
--
作者：
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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影响因子：
17.1
作者：
Eming SA;Martin P;Tomic-Canic M
通讯作者：
Tomic-Canic M
影响因子：
15.9
作者：
Gallagher, Katherine A.;Liu, Zhao-Jun;Velazquez, Omaida C.
通讯作者：
Velazquez, Omaida C.
影响因子：
6
作者：
Eom J;Yoo J;Kim JJ;Lee JB;Choi W;Park CG;Seo JY
通讯作者：
Seo JY
影响因子：
2.9
作者：
Goh, Teik Chiang;Bajuri, Mohd Yazid;Zamri, Kamarul Syariza
通讯作者：
Zamri, Kamarul Syariza
影响因子：
3.7
作者：
Hanses F;Park S;Rich J;Lee JC
通讯作者：
Lee JC