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基于高通量转录组探索CCNB1、ASPM在糖尿病足溃疡治疗的应用
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Abstract:
背景：糖尿病足溃疡是糖尿病患者常见的并发症，其危害性不容小觑，然而其分子机制尚不完全清楚。方法：利用GEO数据库中的糖尿病足溃疡数据集GSE143735，通过limma包筛选差异表达基因(DEGs)，并进行功能富集分析和GSEA。利用WGCNA构建共表达网络，筛选重要模块，再通过STRING数据库构建PPI网络。通过Cytoscape可视化并获取靶点基因。通过基因表达量热图展示核心基因在糖尿病足溃疡和正常样本中的表达差异。miRNA预测网站用于找出调节靶点基因的miRNA。结果：发现了1778个差异表达基因。功能富集分析表明这些基因主要涉及伤口愈合、细胞连接等生物学过程。WGCNA和PPI网络分析鉴定了CCNB1和ASPM等核心基因，并通过热图展示其在疾病样本中的低表达。miRNA预测进一步揭示了这些基因在糖尿病足溃疡中的潜在作用。结论：CCNB1和ASPM在糖尿病足溃疡中低表达，它们可能在糖尿病足溃疡的发展中发挥重要作用。
Background: Diabetic foot ulcer (DFU) is a common complication in diabetic patients, posing significant health risks. However, its molecular mechanisms remain incompletely understood. Methods: The diabetic foot ulcer dataset GSE143735 from the GEO database was utilized for differential gene expression analysis using the limma package, followed by functional enrichment analysis and Gene Set Enrichment Analysis (GSEA). Weighted Gene Co-expression Network Analysis (WGCNA) was employed to construct co-expression networks and identify key modules, followed by Protein-Protein Interaction (PPI) network construction using the STRING database. Visualize and obtain target genes through Cytoscape. The differential expression of core genes in diabetes foot ulcer and normal samples was demonstrated by gene expression calorimetry. miRNA prediction websites were utilized to identify miRNAs regulating core genes. Results: A total of 1778 differentially expressed genes were identified. Functional enrichment analysis revealed involvement of these genes in biological processes such as wound healing and cell adhesion. WGCNA and PPI network analysis identified core genes CCNB1 and ASPM, and demonstrated their low expression in disease samples through heatmaps. While miRNA prediction further elucidated their potential roles in diabetic foot ulcers. Conclusions: CCNB1 and ASPM are down regulated in diabetic foot ulcers, suggesting their potential importance in the development of this condition.
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