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采用气相色谱-质谱联用技术对慢性睡眠剥夺大鼠模型中绿原酸的尿液代谢组学研究

Urinary Metabolomic Study of Chlorogenic Acid in a Rat Model of Chronic Sleep Deprivation Using Gas Chromatography-Mass Spectrometry.

作者信息

Ma Wei-Ni, Zhou Ming-Mei, Gou Xiao-Jun, Zhao Le, Cen Fang, Xu Ying, Shen Hong-Yi

机构信息

Center for Chinese Medicine Therapy and Systems Biology, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.

Central Laboratory, Baoshan District Hospital of Integrated Traditional Chinese and Western Medicine of Shanghai, Shanghai University of Traditional Chinese Medicine, Shanghai 201999, China.

出版信息

Int J Genomics. 2018 Feb 11;2018:1361402. doi: 10.1155/2018/1361402. eCollection 2018.

Abstract

The urinary metabolomic study based on gas chromatography-mass spectrometry (GC-MS) had been developed to investigate the possible antidepressant mechanism of chlorogenic acid (CGA) in a rat model of sleep deprivation (SD). According to pattern recognition analysis, there was a clear separation among big platform group (BP), sleep deprivation group (SD), and the CGA (model + CGA), and CGA group was much closer to the BP group by showing a tendency of recovering towards BP group. Thirty-six significantly changed metabolites related to antidepressant by CGA were identified and used to explore the potential mechanism. Combined with the result of the classic behavioral tests and biochemical indices, CGA has significant antidepressant effects in a rat model of SD, suggesting that the mechanism of action of CGA might be involved in regulating the abnormal pathway of nicotinate and nicotinamide metabolism; glyoxylate and dicarboxylate metabolism; glycine, serine, and threonine metabolism; and arginine and proline metabolism. Our results also show that metabolomics analysis based on GC-MS is a useful tool for exploring biomarkers involved in depression and elucidating the potential therapeutic mechanisms of Chinese medicine.

摘要

基于气相色谱-质谱联用(GC-MS)的尿液代谢组学研究已开展,以探究绿原酸(CGA)在睡眠剥夺(SD)大鼠模型中的可能抗抑郁机制。根据模式识别分析,大平台组(BP)、睡眠剥夺组(SD)和CGA组(模型+CGA)之间有明显区分,且CGA组通过呈现向BP组恢复的趋势而更接近BP组。鉴定出36种与CGA抗抑郁相关的显著变化代谢物,并用于探索潜在机制。结合经典行为测试和生化指标的结果,CGA在SD大鼠模型中具有显著抗抑郁作用,表明CGA的作用机制可能涉及调节烟酸和烟酰胺代谢、乙醛酸和二羧酸代谢、甘氨酸、丝氨酸和苏氨酸代谢以及精氨酸和脯氨酸代谢的异常途径。我们的结果还表明,基于GC-MS的代谢组学分析是探索抑郁症相关生物标志物和阐明中药潜在治疗机制的有用工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9601/5828092/6445ef330ad3/IJG2018-1361402.001.jpg

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