Wu Zhonghao, Yu Heming, Tian Yu, Wang Yue, He Yong, Lan Tianlan, Li Yan, Bai Mengge, Chen Xiangyu, Chen Zhi, Ji Ping, Zhang Hongmei, Jin Xin, Song Jinlin, Cheng Ke, Xie Peng
NHC Key Laboratory of Diagnosis and Treatment on Brain Functional Diseases, The First Affiliated Hospital, Chongqing Medical University, Chongqing, China.
State Key Laboratory of Ultrasound in Medicine and Engineering, College of Biomedical Engineering, Chongqing Medical University, Chongqing, China.
Front Psychiatry. 2022 Feb 21;12:810302. doi: 10.3389/fpsyt.2021.810302. eCollection 2021.
Major depressive disorder (MDD) is a neuropsychiatric disorder caused by multiple factors. Although there are clear guidelines for the diagnosis of MDD, the direct and objective diagnostic methods remain inadequate thus far.
This study aims to discover peripheral biomarkers in patients with MDD and promote the diagnosis of MDD. Plasma samples of healthy controls (HCs, = 52) and patients with MDD ( = 38) were collected, and then, metabolism analysis was performed using ultrahigh-performance liquid chromatography-tandem mass spectrometry (LC-MS/MS). Heatmap analysis was performed to identify the different metabolites. Meanwhile, receiver operating characteristic (ROC) curves of these differential metabolites were generated.
Six differential metabolites were found by LC-MS/MS analysis. Three of these were increased, including L-aspartic acid (Asp), diethanolamine, and alanine. Three were decreased, including O-acetyl-L-carnitine (LAC), cystine, and fumarate. In addition, LAC, Asp, fumarate, and alanine showed large areas under the curve (AUCs) by ROC analysis.
The study explored differences in peripheral blood between depressed patients and HCs. These results indicated that differential metabolites with large AUCs may have the potential to be promising biomarkers for the diagnosis of MDD.
重度抑郁症(MDD)是一种由多种因素引起的神经精神疾病。尽管对于MDD的诊断有明确的指导方针,但迄今为止,直接且客观的诊断方法仍然不足。
本研究旨在发现MDD患者的外周生物标志物并促进MDD的诊断。收集了健康对照者(HCs,n = 52)和MDD患者(n = 38)的血浆样本,然后使用超高效液相色谱-串联质谱(LC-MS/MS)进行代谢分析。进行热图分析以识别不同的代谢物。同时,生成这些差异代谢物的受试者工作特征(ROC)曲线。
通过LC-MS/MS分析发现了六种差异代谢物。其中三种增加,包括L-天冬氨酸(Asp)、二乙醇胺和丙氨酸。三种减少,包括O-乙酰-L-肉碱(LAC)、胱氨酸和富马酸。此外,通过ROC分析,LAC、Asp、富马酸和丙氨酸显示出较大的曲线下面积(AUCs)。
该研究探索了抑郁症患者与健康对照者外周血的差异。这些结果表明,具有大AUCs的差异代谢物可能有潜力成为MDD诊断的有前景的生物标志物。