Liu Kang, Lei Lei, Yang Xin-Lei, Zhang Xin-He
Department of Burn and Plastic Surgery, Affiliated Chenggong Hospital of Xiamen University, Xiamen, Fujian, 361001, People's Republic of China.
J Inflamm Res. 2025 Aug 18;18:11355-11372. doi: 10.2147/JIR.S531204. eCollection 2025.
Neutrophil extracellular traps (NETs) play an important role in the development of diabetic foot ulcers (DFUs), and improving its progression by targeting the activation and regulation of NETs-related genes (NETRGs) might be an important therapeutic target and deserve further exploration.
Differentially expressed NETRGs (DENETRGs) were obtained by intersecting the NETRGs and the differentially expressed genes (DEGs) between DFUs and healthy control (HC) samples. The nomogram was constructed with the biomarkers identified by machine learning algorithms. In addition, the immune infiltration was conducted to further analyze the pathogenesis of DFUs. We used quantitative real-time polymerase chain reaction (qRT-PCR) to verify the expression of the biomarkers.
and were defined as the biomarkers of DFUs, and both were significantly highly expressed in DFUs groups. Moreover, the diagnostic model with two biomarker was constructed. Besides, the proportion of the type 17 T helper cell and neutrophil were significantly increased, and the proportion of activated B cell was significantly decreased in the DFUs groups.
This study revealed the potential molecular mechanisms of NETRGs in DFUs, which could provide novel insights for the clinical diagnosis and treatment of DFUs.
中性粒细胞胞外诱捕网（NETs）在糖尿病足溃疡（DFUs）的发生发展中起重要作用，通过靶向NETs相关基因（NETRGs）的激活和调控来改善其进展可能是一个重要的治疗靶点，值得进一步探索。
通过将NETRGs与DFUs和健康对照（HC）样本之间的差异表达基因（DEGs）进行交叉分析，获得差异表达的NETRGs（DENETRGs）。利用机器学习算法鉴定出的生物标志物构建列线图。此外，进行免疫浸润分析以进一步探讨DFUs的发病机制。我们使用定量实时聚合酶链反应（qRT-PCR）来验证生物标志物的表达。
[具体内容缺失]和[具体内容缺失]被定义为DFUs的生物标志物，两者在DFUs组中均显著高表达。此外，构建了包含这两种生物标志物的诊断模型。此外，在DFUs组中，17型辅助性T细胞和中性粒细胞的比例显著增加，而活化B细胞的比例显著降低。
本研究揭示了NETRGs在DFUs中的潜在分子机制，可为DFUs的临床诊断和治疗提供新的见解。
