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重度抑郁症患者特定年龄的尿液代谢物特征及功能

Age-specific urinary metabolite signatures and functions in patients with major depressive disorder.

作者信息

Chen Jian-Jun, Xie Jing, Li Wen-Wen, Bai Shun-Jie, Wang Wei, Zheng Peng, Xie Peng

机构信息

Institute of Life Sciences, Chongqing Medical University, Chongqing 400016, China.

Department of Endocrinology and Nephrology, Chongqing University Central Hospital, Chongqing Emergency Medical Center, Chongqing 400014, China.

出版信息

Aging (Albany NY). 2019 Sep 6;11(17):6626-6637. doi: 10.18632/aging.102133.

Abstract

Major depressive disorder (MDD) patients in different age ranges might have different urinary metabolic phenotypes, because age could significantly affect the physiological and psychological status of person. Therefore, it was very important to take age into consideration when studying MDD. Here, a dual platform metabolomic approach was performed to profile urine samples from young and middle-aged MDD patients. In total, 18 and 15 differential metabolites that separately discriminated young and middle-aged MDD patients, respectively, from their respective HC were identified. Only ten metabolites were significantly disturbed in both young and middle-aged MDD patients. Meanwhile, two different biomarker panels for diagnosing young and middle-aged MDD patients, respectively, were identified. Additionally, the TCA cycle was significantly affected in both young and middle-aged MDD patients, but the Glyoxylate and dicarboxylate metabolism and phenylalanine metabolism were only significantly affected in young and middle-aged MDD patients, respectively. Our results would be helpful for developing age-specific diagnostic method for MDD and further investigating the pathogenesis of this disease.

摘要

不同年龄范围的重度抑郁症(MDD)患者可能具有不同的尿液代谢表型,因为年龄会显著影响人的生理和心理状态。因此,在研究MDD时考虑年龄非常重要。在此,采用双平台代谢组学方法对年轻和中年MDD患者的尿液样本进行分析。总共分别鉴定出18种和15种差异代谢物,它们分别将年轻和中年MDD患者与各自的健康对照区分开来。只有10种代谢物在年轻和中年MDD患者中均受到显著干扰。同时,分别鉴定出了用于诊断年轻和中年MDD患者的两种不同生物标志物组。此外,三羧酸循环在年轻和中年MDD患者中均受到显著影响,但乙醛酸和二羧酸代谢以及苯丙氨酸代谢分别仅在年轻和中年MDD患者中受到显著影响。我们的结果将有助于开发针对MDD的年龄特异性诊断方法,并进一步研究该疾病的发病机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aff3/6756884/4a404f03f628/aging-11-102133-g001.jpg

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