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Non-targeted Metabolomics Profiling of Plasma Samples From Patients With Major Depressive Disorder

Zhonghao Wu, Heming Yu, Yu Tian, Yue Wang, Yong He, Tianlan Lan, Li Yan, Mengge Bai, Xiangyu Chen, Zhi Chen, Ping Ji, Hongmei Zhang, Xin Jin, Jinlin Song, Ke Cheng, Peng Xie

2022Frontiers in Psychiatry17 citationsDOIOpen Access PDF

Abstract

Background: 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. Methods: = 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. Results: 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. Conclusion: 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.

Topics & Concepts

Major depressive disorderMetabolomicsProfiling (computer programming)MedicineComputational biologyInternal medicinePsychiatryBioinformaticsBiologyComputer scienceMoodOperating systemMetabolomics and Mass Spectrometry StudiesTryptophan and brain disordersTreatment of Major Depression