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采用代谢组学方法评估贯叶连翘、人参皂苷和氯米帕明在实验性抑郁症中的调节作用。

Metabonomics approach to assessing the modulatory effects of St John's wort, ginsenosides, and clomipramine in experimental depression.

机构信息

Ministry of Education Key Laboratory of Systems Biomedicine, Shanghai Center for Systems Biomedicine and School of Pharmacy, Shanghai Jiao Tong University, Shanghai, 200240, PR China.

出版信息

J Proteome Res. 2012 Dec 7;11(12):6223-30. doi: 10.1021/pr300891v. Epub 2012 Nov 13.

Abstract

The protective effects of St John's Wort extract (SJ), ginsenosides (GS), and clomipramine (CPM) on chronic unpredictable mild stress (CUMS)-induced depression in rats were investigated by using a combination of behavioral assessments and metabonomics. Metabonomic analyses were performed using gas chromatography/mass spectrometry in conjunction with multivariate and univariate statistical analyses. During and at the end point of the chronic stress experiment, food consumption, body weight, adrenal gland, thymus and spleen indices, behavior scores, sucrose consumption, and stress hormone levels were measured. Changes in these parameters reflected characteristic phenotypes of depression in rats. Metabonomic analysis of serum, urine, and brain tissue revealed that CPM and SJ mainly attenuated the alteration of monoamine neurotransmitter metabolites, while GS affected both excitatory/inhibitory amino acids and monoamine neurotransmitter metabolites. GS also attenuated the stress-induced alterations in cerebrum and peripheral metabolites to a greater extent than CPM and SJ. These results provide important mechanistic insights into the protective effects of GS against CUMS-induced depression and metabolic dysfunction.

摘要

采用行为学评估与代谢组学相结合的方法,研究了贯叶金丝桃提取物(SJ)、人参皂苷(GS)和氯米帕明(CPM)对慢性不可预测轻度应激(CUMS)诱导的大鼠抑郁的保护作用。代谢组学分析采用气相色谱/质谱联用结合多元和单变量统计分析。在慢性应激实验期间和实验终点,测量了食物消耗、体重、肾上腺、胸腺和脾脏指数、行为评分、蔗糖消耗和应激激素水平。这些参数的变化反映了大鼠抑郁的特征表型。血清、尿液和脑组织的代谢组学分析表明,CPM 和 SJ 主要减轻单胺神经递质代谢物的改变,而 GS 影响兴奋性/抑制性氨基酸和单胺神经递质代谢物。GS 还比 CPM 和 SJ 更能减轻应激引起的大脑和外周代谢物的改变。这些结果为 GS 对 CUMS 诱导的抑郁和代谢功能障碍的保护作用提供了重要的机制见解。

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