Mu Gaohang, Cao Xiangyu, Shao Lianbo, Shen Han, Guo Xingyou, Gao Yamei, Su Chengkai, Fan Hongyou, Yu You, Shen Zhenya
Department of Cardiovascular Surgery of the First Affiliated Hospital & Institute for Cardiovascular Science, Soochow University, Suzhou, 215123, Jiangsu, China.
Suzhou Medical College, Soochow University, Suzhou, 215123, Jiangsu, China.
Metabolomics. 2024 Jul 13;20(4):76. doi: 10.1007/s11306-024-02140-z.
Aortic dissection (AD) significantly threated human cardiovascular health, extensive clinical-scientific research programs have been executed to uncover the pathogenesis and prevention. Unfortunately, no specific biomarker was identified for the causality or development of human AD.
Metabolomics, a high-throughput technique capable of quantitatively detecting metabolites, holds considerable promise in discovering specific biomarkers and unraveling the underlying pathways involved. Aiming to provide a metabolite prediction in human AD, we collected the metabolomics data from 2003 to 2023, and diligently scrutinized with the online system MetaboAnalyst 6.0.
Based on the data obtained, we have concluded the metabolic dynamics were highly correlated with human AD. Such metabolites (choline, serine and uridine) were frequently involved in the AD. Besides, the pathways, including amino acids metabolism and lipids metabolism, were also dysregulated in the disease. Due to the current limitation of metabolism analysis, the integrative omics data including genomics, transcriptomics, and proteomics were required for developing the specific biomarker for AD.
主动脉夹层（AD）严重威胁人类心血管健康，已经开展了广泛的临床科研项目来揭示其发病机制和预防方法。不幸的是，尚未发现用于人类AD病因或发展的特异性生物标志物。
代谢组学是一种能够定量检测代谢物的高通量技术，在发现特异性生物标志物和揭示潜在相关途径方面具有很大潜力。为了提供人类AD的代谢物预测，我们收集了2003年至2023年的代谢组学数据，并使用在线系统MetaboAnalyst 6.0进行了仔细审查。
基于获得的数据，我们得出代谢动态与人类AD高度相关的结论。此类代谢物（胆碱、丝氨酸和尿苷）频繁参与AD过程。此外，包括氨基酸代谢和脂质代谢在内的途径在该疾病中也失调。由于目前代谢分析的局限性，开发AD特异性生物标志物需要整合包括基因组学、转录组学和蛋白质组学在内的组学数据。
