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An 1H NMR and UPLC–MS-based plasma metabonomic study to investigate the biochemical changes in chronic unpredictable mild stress model of depression

机译:1 H NMR和基于UPLC–MS的血浆代谢组学研究,研究慢性不可预测的轻度抑郁症抑郁模型的生化变化

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摘要

Depression is a common and highly debilitating psychiatric illness. However, the pathophysiology of depression is not fully understood. In this study Sprague-Dawley rats were exposed to chronic unpredictable mild stress (CUMS) to induce depression. A metabonomic study on plasma of CUMS-induced depressive rats was performed to research the pathologic mechanism of depression by using 1H nuclear magnetic resonance (NMR) spectroscopy and ultra performance liquid chromatography coupled to mass spectrometry (UPLC–MS). Clear separations between depressive rats and control rats were observed by principal component analysis (PCA) based on the data obtained using both analytical techniques and 18 significantly changed metabolites were identified as potential biomarkers of depression. Depressive rats were characterized by altered levels of plasma lysophosphatidylcholines, amino acids, cholic acid, choline, lactate, glycoproteins, glucose, ketone bodies, nucleosides and gut microflora metabolites, which were related to multiple perturbed metabolic pathways and contributed to the elucidation of the complex mechanism of depression. To the best of our knowledge, this is the first plasma metabonomic study on CUMS-induced depressive rats by using two complementary analytical technologies. Our results showed that metabonomic approach offers a useful tool to identify depression-specific biomarkers and provide new insights into the pathophysiology of depression.
机译:抑郁症是一种常见且高度虚弱的精神疾病。然而,抑郁症的病理生理学尚未完全了解。在这项研究中,Sprague-Dawley大鼠暴露于慢性不可预测的轻度压力(CUMS)中,以诱发抑郁症。通过 1 H核磁共振波谱和超高效液相色谱-质谱联用,对CUMS引起的抑郁大鼠血浆进行了代谢组学研究,以研究抑郁症的病理机制。多发性硬化症)。基于两种分析技术获得的数据,通过主成分分析(PCA)观察到抑郁症大鼠与对照组大鼠之间的清晰分离,并且鉴定出18种显着变化的代谢物是抑郁症的潜在生物标记。抑郁症大鼠的特征是血浆溶血磷脂酰胆碱,氨基酸,胆酸,胆碱,乳酸盐,糖蛋白,葡萄糖,酮体,核苷和肠道菌群代谢物的水平发生改变,这与多种扰动的代谢途径有关,并有助于阐明复合物抑郁症的机制。据我们所知,这是首次使用两种辅助分析技术对CUMS诱发的抑郁大鼠进行血浆代谢组学研究。我们的结果表明,代谢组学方法为识别抑郁症特定的生物标志物提供了有用的工具,并为抑郁症的病理生理学提供了新的见解。

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