Chen Jian-Jun, Xie Jing, Zeng Li, Zhou Chan-Juan, Zheng Peng, Xie Peng
Institute of Life Sciences, Chongqing Medical University, Chongqing, China.
Institute of Neuroscience, Chongqing Medical University, Chongqing, China.
Aging (Albany NY). 2019 Feb 5;11(3):1008-1018. doi: 10.18632/aging.101805.
The first few episodes of bipolar disorder (BD) are highly likely to be depressive. This phenomenon causes many BD patients to be misdiagnosed as having major depression. Therefore, it is very important to correctly diagnose BD patients during depressive episode. Here, we conducted this study to identify potential biomarkers for young and middle-aged BD patients during depressive episode. Both gas chromatography-mass spectroscopy (GC-MS) and nuclear magnetic resonance (NMR) spectroscopy were used to profile the urine samples from the recruited subjects. In total, 13 differential metabolites responsible for the discrimination between healthy controls (HCs) and patients were identified. Most differential metabolites had a close relationship with energy homeostasis. Meanwhile, a panel consisting of five differential metabolites was identified. This panel could effectively distinguish the patients from HCs with an AUC of 0.998 in the training set and 0.974 in the testing set. Our findings on one hand could be helpful in developing an objective diagnostic method for young and middle-aged BD patients during depressive episode; on the other hand could provide critical insight into the pathological mechanism of BD and the biological mechanisms responsible for the transformation of different episodes.
双相情感障碍（BD）的最初几次发作极有可能是抑郁发作。这种现象导致许多BD患者被误诊为重度抑郁症。因此，在抑郁发作期间正确诊断BD患者非常重要。在此，我们开展这项研究以确定中青年BD患者在抑郁发作期间的潜在生物标志物。气相色谱 - 质谱联用（GC-MS）和核磁共振（NMR）光谱法均用于分析招募受试者的尿液样本。总共鉴定出13种可区分健康对照（HC）和患者的差异代谢物。大多数差异代谢物与能量稳态密切相关。同时，确定了一个由五种差异代谢物组成的组合。该组合在训练集中能够以0.998的曲线下面积（AUC）、在测试集中以0.974的AUC有效区分患者与HC。我们的研究结果一方面有助于开发针对中青年BD患者抑郁发作期的客观诊断方法；另一方面能够为BD的病理机制以及不同发作转变的生物学机制提供关键见解。
