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PMID: 40643772 已发表 · ppublish 英语

Screening and investigating the regulatory mechanisms of oxidative stress-related biomarkers in thoracic aortic aneurysms.

Journal of applied genetics ·第 67 卷 ·第 3 期 ·2026-09-00

Liu T, Wang P, Guo C, Liang X, Zheng B

摘要

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.

关键词
Machine learning Oxidative stress Thoracic aortic aneurysm Treatment
文献信息
期刊
Journal of applied genetics
期刊简称
J Appl Genet
ISSN
2190-3883
通讯邮箱
发表日期
2026-09-00
语言
英语
国家/地区
England
NLM ID
9514582
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