Data mining reveal the association between diabetic foot ulcer and peripheral artery disease

Jie Zou; Wen Zhang; Xiaoming Chen; Wenxing Su; Daojiang Yu

doi:10.3389/fpubh.2022.963426

Data mining reveal the association between diabetic foot ulcer and peripheral artery disease

Front Public Health. 2022 Aug 18:10:963426. doi: 10.3389/fpubh.2022.963426. eCollection 2022.

Authors

Jie Zou^{1

2

3}, Wen Zhang^{3

4}, Xiaoming Chen^{2

3}, Wenxing Su^{2

3}, Daojiang Yu^{2

3}

Affiliations

¹ Department of Cosmetic Plastic and Burn Surgery, The First Affiliated Hospital of Chengdu Medical College, Chengdu, China.
² Department of Plastic and Burn Surgery, The Second Affiliated Hospital of Chengdu Medical College, China National Nuclear Corporation 416 Hospital, Chengdu, China.
³ School of Clinical Medicine, Chengdu Medical College, Chengdu, China.
⁴ Department of Dermatology, The First Affiliated Hospital of Chengdu Medical College, Chengdu, China.

Abstract

Background: Diabetic foot ulcer (DFU) and peripheral artery disease (PAD) are common diseases that seriously affect the quality of life and bring a huge economic burden to society. Although mounting evidence supports a close link between the two disorders, the mechanisms of comorbidity remain to be fully elucidated.

Methods: The gene expression profiles of DFU (GSE80178) and PAD (GSE100927) were downloaded from the Gene Expression Omnibus (GEO) database. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) performed pathway enrichment analysis for common differentially expressed genes (DEGs) present in DFU and PAD. Subsequently, we constructed a protein-protein interaction (PPI) network using the STRING database and detected core modules and hub genes in the network. Finally, we analyzed the co-expression network and the TF-miRNA-mRNA regulatory network of hub genes.

Results: A total of 167 common DEGs (91 up-regulated genes and 76 down-regulated genes) was selected for subsequent analyses. Functional analysis emphasizes the important role of chemokines and cytokines in these two diseases. Finally, six hub genes were identified using cytoHubba, including CXCL8, IL1RN, MMP1, CD68, CCR7 and CCL3.

Conclusions: The hub genes and signaling pathways involved can regulate both diseases simultaneously, suggesting a close relationship between the molecular mechanisms of the two diseases and possible targets for drugs that intervene in both diseases.

Keywords: bioinformatics; diabetic foot ulcer; differentially expressed genes; hub genes; peripheral artery disease.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Computational Biology
Data Mining
Diabetes Mellitus*
Diabetic Foot* / genetics
Gene Expression Profiling
Gene Regulatory Networks
Humans
Peripheral Arterial Disease* / genetics
Quality of Life