Liu Tao, Wang Pandeng, Guo Chenfan, Liang Xiangsen, Zheng Baoshi
Department of Cardiothoracic Surgery, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise City, Guangxi, 533000, People's Republic of China.
Key Laboratory of Biomedical Materials of Guangsheng (Cultivation), Baise City, Guangxi, 533000, People's Republic of China.
J Appl Genet. 2025 Jul 11. doi: 10.1007/s13353-025-00988-y.
Excess reactive oxygen species leading to oxidative stress has been identified as a significant factor in cardiovascular disease. However, the molecular mechanisms of oxidative stress-related genes in thoracic aortic aneurysm have not been thoroughly explored. An analysis of the GSE9106 dataset, using a geneset related to oxidative stress, revealed important links to purine metabolism pathways through functional enrichment analysis. A systematic investigation identified seven candidate genes, resulting in the identification of four potential biomarkers (IL10, SNCA, MAP1LC3A, and EPX) that show strong diagnostic promise for thoracic aortic aneurysm. These biomarkers were associated with critical pathways, including neuroactive ligand-receptor interaction and olfactory transduction. Correlation analysis also highlighted their relationships with specific immune cell types. The study not only examined biomarker-drug interactions but also performed experimental validations using qRT-PCR and immunohistochemistry. While the expression patterns of IL10 aligned with existing databases, some inconsistencies were observed in the validation of the other three biomarkers. Overall, these findings provide important insights into the diagnosis and treatment of thoracic aortic aneurysm, underscoring the significant role of oxidative stress-related biomarkers in this condition.
导致氧化应激的过量活性氧已被确定为心血管疾病的一个重要因素。然而,胸主动脉瘤中氧化应激相关基因的分子机制尚未得到充分探索。使用与氧化应激相关的基因集对GSE9106数据集进行分析,通过功能富集分析揭示了与嘌呤代谢途径的重要联系。一项系统研究确定了七个候选基因,从而鉴定出四个潜在的生物标志物(IL10、SNCA、MAP1LC3A和EPX),它们对胸主动脉瘤显示出很强的诊断前景。这些生物标志物与关键途径相关,包括神经活性配体-受体相互作用和嗅觉转导。相关性分析还突出了它们与特定免疫细胞类型的关系。该研究不仅检测了生物标志物与药物的相互作用,还使用qRT-PCR和免疫组织化学进行了实验验证。虽然IL10的表达模式与现有数据库一致,但在其他三个生物标志物的验证中观察到了一些不一致之处。总体而言,这些发现为胸主动脉瘤的诊断和治疗提供了重要见解,强调了氧化应激相关生物标志物在这种疾病中的重要作用。