Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, China.
Psychopharmacology (Berl). 2024 Aug;241(8):1691-1703. doi: 10.1007/s00213-024-06590-0. Epub 2024 Apr 12.
The mechanisms underlying major depressive disorder (MDD) in children and adolescents are unclear. Metabolomics has been utilized to capture metabolic signatures of various psychiatric disorders; however, urinary metabolic profile of MDD in children and adolescents has not been studied.
We analyzed urinary metabolites in children and adolescents with MDD to identify potential biomarkers and metabolic signatures.
Here, liquid chromatography-mass spectrometry was used to profile metabolites in urine samples from 192 subjects, comprising 80 individuals with antidepressant-naïve MDD (AN-MDD), 37 with antidepressant-treated MDD (AT-MDD) and 75 healthy controls (HC). We performed orthogonal partial least squares discriminant analysis to identify differential metabolites and employed logistic regression and receiver operating characteristic analysis to establish a diagnostic panel.
In total, 143 and 71 differential metabolites were identified in AN-MDD and AT-MDD, respectively. These were primarily linked to lipid metabolism, molecular transport, and small molecule biochemistry. AN-MDD additionally exhibited dysregulated amino acid metabolism. Compared to HC, a diagnostic panel of seven metabolites displayed area under the receiver operating characteristic curves of 0.792 for AN-MDD, 0.828 for AT-MDD, and 0.799 for all MDD. Furthermore, the urinary metabolic profiles of children and adolescents with MDD significantly differed from those of adult MDD.
Our research suggests dysregulated amino acid metabolism and lipid metabolism in the urine of children and adolescents with MDD, similar to results in plasma metabolomics studies. This contributes to the comprehension of mechanisms underlying children and adolescents with MDD.
儿童和青少年重度抑郁症(MDD)的发病机制尚不清楚。代谢组学已被用于捕获各种精神疾病的代谢特征;然而,儿童和青少年 MDD 的尿液代谢特征尚未研究。
我们分析了患有 MDD 的儿童和青少年的尿液代谢物,以确定潜在的生物标志物和代谢特征。
在这里,我们使用液相色谱-质谱法对 192 名受试者的尿液样本中的代谢物进行了分析,其中包括 80 名抗抑郁药初治 MDD(AN-MDD)患者、37 名接受抗抑郁药治疗的 MDD(AT-MDD)患者和 75 名健康对照者(HC)。我们进行了正交偏最小二乘判别分析以识别差异代谢物,并采用逻辑回归和接收者操作特征分析建立了诊断面板。
在 AN-MDD 和 AT-MDD 中分别鉴定出 143 种和 71 种差异代谢物。这些差异代谢物主要与脂质代谢、分子转运和小分子生物化学有关。AN-MDD 还表现出氨基酸代谢失调。与 HC 相比,七种代谢物的诊断面板对 AN-MDD 的受试者工作特征曲线下面积为 0.792,对 AT-MDD 的曲线下面积为 0.828,对所有 MDD 的曲线下面积为 0.799。此外,患有 MDD 的儿童和青少年的尿液代谢谱与成人 MDD 的代谢谱明显不同。
我们的研究表明,患有 MDD 的儿童和青少年尿液中的氨基酸代谢和脂质代谢失调,这与血浆代谢组学研究的结果相似。这有助于理解儿童和青少年 MDD 的发病机制。