Department of Neurology, The First Affiliated Hospital of Zhengzhou University, #1 Jianshe East Road, Zhengzhou, 450052, China.
The Academy of Medical Sciences of Zhengzhou University, Zhengzhou University, Zhengzhou, 450052, China.
Sci Rep. 2024 Aug 19;14(1):19180. doi: 10.1038/s41598-024-68966-8.
The existing diagnostic methods of epilepsy have great limitations, and more reliable and less difficult diagnostic methods are needed. We collected serum samples of adult patients with first-diagnosed epilepsy (EPs) and seizure control patients (EPRs) for non-targeted metabolomics detection and found that they were both significantly altered, with increased expression of nicotine addiction, linoleic acid metabolism, purine metabolism, and other metabolic pathways. The diagnostic model based on 4 differential metabolites achieved a diagnostic efficiency of 99.4% in the training cohort and 100% in the validation cohort. In addition, the association analysis of oral flora, serum metabolism, and clinical indicators also provided a new angle to analyze the mechanism of epilepsy. In conclusion, this study characterized the serum metabolic characteristics of EPs and EPRs and the changes before and after epilepsy control based on a large cohort, demonstrating the potential of metabolites as non-invasive diagnostic tools for epilepsy.
现有的癫痫诊断方法存在很大的局限性，需要更可靠、更简便的诊断方法。我们收集了首次诊断为癫痫（EPs）的成年患者和癫痫控制患者（EPRs）的血清样本进行非靶向代谢组学检测，发现它们都有明显改变，尼古丁成瘾、亚油酸代谢、嘌呤代谢等代谢途径的表达增加。基于 4 种差异代谢物的诊断模型在训练队列中达到了 99.4%的诊断效率，在验证队列中达到了 100%。此外，口腔菌群、血清代谢和临床指标的关联分析也为分析癫痫的机制提供了一个新的角度。总之，本研究通过大样本描述了 EPs 和 EPRs 的血清代谢特征以及癫痫控制前后的变化，表明代谢物作为癫痫非侵入性诊断工具具有潜力。
