A urinary metabolomics study of the metabolic dysfunction and the regulation effect of citalopram in rats exposed to chronic unpredictable mild stress
A urinary metabolomics study of the metabolic dysfunction and the regulation effect of citalopram in rats exposed to chronic unpredictable mild stress
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慢性不可预见轻度应激大鼠代谢功能障碍及西酞普兰调节作用的尿代谢组学研究
DOI：
10.1039/c5ra10668k
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发表时间：
2015-08
期刊：
影响因子：
3.9
通讯作者：
Lei Li
中科院分区：
文献类型：
--
作者：
Xinyu Yu;Jia Luo;Lijun Chen;Chengxiang Zhang;Rutan Zhang;Qi Hu;Shanlei Qiao;Lei Li
Depression is a widespread mental disorder, however the molecular mechanism underlying depression and the antidepressive effects of diverse drugs remain largely unknown. An untargeted metabolic profiling based on Ultra High Performance Liquid Chromatography coupled with Orbitrap mass spectrometry (UPLC-Orbitrap-MS) has been performed to investigate the metabolic changes between chronic unpredictable mild stress (CUMS) in rats and healthy control rats, and screen for drug efficacy on these changed metabolites after administration of citalopram, then provide a new perspective into the understanding of the antidepressant effects of citalopram. Behavioral tests were applied as a measurement of status of depression and the antidepressive effect. Multivariate statistics including principal component analysis (PCA), and partial least squares-discriminate analysis (PLS-DA) have been applied to reveal the metabolic changes between the control, model and antidepressant-treated groups. Clear separation among three groups was achieved and a total of 26 metabolites have been considered as the potential biomarkers involved in the development of depression. Among them, 24 metabolites display the trend to return to normal levels which may correlate with the regulation of drug treatment on depression, and specifically, 10 of them could be key metabolites in the pathogenesis of depression and contribute to evaluating the effect of citalopram. These results provided new insight into the pathophysiological mechanism of depression and indicated that citalopram mediated synergistically abnormalities in metabolic networks including tryptophan metabolism, energy metabolism and synthesis of neurotransmitters, which may be helpful to evaluate its effectiveness by a metabolomics approach.
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影响因子：
15.1
作者：
Myint, Aye Mu;Bondy, Brigitta;Schwarz, Markus J.
通讯作者：
Schwarz, Markus J.
朝着抑郁症的谷氨酸假说：情绪障碍神经心理药理的新兴前沿。
影响因子：
4.7
作者：
Sanacora, Gerard;Treccani, Giulia;Popoli, Maurizio
通讯作者：
Popoli, Maurizio
慢性D链升高对抑郁症和焦虑相关行为动物模型的影响。
影响因子：
3.7
作者：
Otte DM;Barcena de Arellano ML;Bilkei-Gorzo A;Albayram O;Imbeault S;Jeung H;Alferink J;Zimmer A
通讯作者：
Zimmer A
DOI：
10.1016/j.jalz.2010.06.001
发表时间：
2011-05
期刊：
Alzheimer's & dementia : the journal of the Alzheimer's Association
影响因子：
--
作者：
Kaddurah-Daouk R;Rozen S;Matson W;Han X;Hulette CM;Burke JR;Doraiswamy PM;Welsh-Bohmer KA
通讯作者：
Welsh-Bohmer KA
影响因子：
3.4
作者：
P. Willner;A. Towell;D. Sampson;S. Sophokleous;R. Muscat
通讯作者：
P. Willner;A. Towell;D. Sampson;S. Sophokleous;R. Muscat