Xie Jing, Han Yu, Hong Yueling, Li Wen-Wen, Pei Qilin, Zhou Xueyi, Zhang Bingbing, Wang Ying
Chongqing Emergency Medical Center, Department of Endocrinology and Nephrology, The Fourth People's Hospital of Chongqing, Central Hospital of Chongqing University, Chongqing 400014, People's Republic of China.
Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing 400016, People's Republic of China.
Neuropsychiatr Dis Treat. 2020 Aug 25;16:2017-2024. doi: 10.2147/NDT.S271990. eCollection 2020.
Post-stroke depression (PSD) is one of the most common complications in stroke survivors. But, there are still no objective methods to diagnose PSD. This study aims to identify potential biomarkers for diagnosing PSD in middle-aged stroke survivors.
Middle-aged subjects aged 30 to 59 years (92 PSD patients and 89 stroke survivors without depression) were included in this study. Urinary metabolites were detected by gas chromatography-mass spectrometry (GC-MS). Differential urinary metabolites and potential biomarkers were screened by applying statistical analysis.
The different urinary metabolic phenotypes between PSD patients and stroke survivors without depression were identified. A total of 12 differential urinary metabolites were accurately identified by using orthogonal partial least-squares-discriminant analysis. After analyzing those 12 differential urinary metabolites by step-wise logistic regression analysis, only seven metabolites (palmitic acid, hydroxylamine, myristic acid, glyceric acid, lactic acid, tyrosine and azelaic acid) were finally selected as potential biomarkers for diagnosing PSD in middle-aged stroke survivors. A panel consisting of these potential biomarkers could effectively diagnose middle-aged PSD patients.
Urinary metabolic profiles were different between middle-aged PSD patients and stroke survivors without depression. Our results would be helpful in future for developing an objective method to diagnose PSD in middle-aged stroke survivors.
中风后抑郁（PSD）是中风幸存者中最常见的并发症之一。但是，目前仍没有诊断PSD的客观方法。本研究旨在确定中年中风幸存者中诊断PSD的潜在生物标志物。
本研究纳入了年龄在30至59岁之间的中年受试者（92例PSD患者和89例无抑郁的中风幸存者）。通过气相色谱-质谱联用（GC-MS）检测尿液代谢物。应用统计分析筛选差异尿液代谢物和潜在生物标志物。
确定了PSD患者和无抑郁的中风幸存者之间不同的尿液代谢表型。通过正交偏最小二乘法判别分析准确鉴定出12种差异尿液代谢物。通过逐步逻辑回归分析对这12种差异尿液代谢物进行分析后，最终仅7种代谢物（棕榈酸、羟胺、肉豆蔻酸、甘油酸、乳酸、酪氨酸和壬二酸）被选为中年中风幸存者诊断PSD的潜在生物标志物。由这些潜在生物标志物组成的检测组合可有效诊断中年PSD患者。
中年PSD患者和无抑郁的中风幸存者之间的尿液代谢谱不同。我们的研究结果将有助于未来开发一种诊断中年中风幸存者PSD的客观方法。
