Integrated transcriptomic, proteomic, and metabolomic analysis unveils key roles of protein and nucleic acid interactions in diabetic ulcer pathogenesis

作者：Yongpan Lu, Hairui Gao, Sen Wang, Han Xu, Zhiyu Chen, Yixin Zhang, Yunfei Gu, Xiaomei Sun · 发表于：Frontiers in Endocrinology · 年份：2025 · DOI：10.3389/fendo.2025.1574858 · 被引用次数：5 · 研究领域：Diabetic Foot Ulcer Assessment and Management、Wound Healing and Treatments、Adipokines, Inflammation, and Metabolic Diseases

Background: Diabetes mellitus significantly increases the risk of complications, particularly diabetic foot ulcers (DFUs). However, the underlying mechanism remains unclear. This study aimed to assess the overall therapeutic approach in diabetic ulcers. Methods: Using integrated high-throughput multi-omics approaches, including transcriptomics, proteomics, and metabolomics, we constructed a compound-reaction-enzyme-gene network to identify the key molecular mechanisms involved in the pathogenesis of DFUs. Major findings were further validated in mouse models of diabetic and control ulcers. Results: Transcriptomics identified 653 differentially expressed genes (DEGs) between diabetic ulcers and control groups. Pathway analysis indicated that these genes were mostly related to inflammation, including the cytokine-cytokine receptor interaction, TNF signaling pathway, and NF-κB signaling pathway. Proteomics revealed 464 upregulated and 419 downregulated proteins, indicating many differentially expressed proteins (DEPs). The pathways with the highest representation of DEPs included diabetic cardiomyopathy, PPAR signaling pathway, and HIF-1 signaling pathway. Metabolomics identified 1,304 metabolites, predominantly lipids (32.1%) and organic acids (20.2%). Principal component analysis and partial least squares discriminant analysis confirmed the model's effectiveness in distinguishing sample groups, whereas bioinformatics analysis revealed significant metabolic pathways, particular...