Literature DB >> 23219962

A ¹H-NMR plasma metabonomic study of acute and chronic stress models of depression in rats.

Biyun Shi1, Junsheng Tian, Huan Xiang, Xiaoqing Guo, Lizeng Zhang, Guanhua Du, Xuemei Qin.   

Abstract

To investigate and compare the metabonomic profiles of three stress-based models of depression, the effects of acute and chronic stress on the production of systemic endogenous metabolites were investigated. Such metabonomic analysis may provide researchers a new way of selecting appropriate animal models for the study of depression and antidepressants. Rats were subjected to one of three stress-based models: CUMS, FST-1d, or FST-14d. Endogenous metabolites excreted in plasma were analyzed using NMR in conjunction with multivariate and statistical techniques. The metabonomic study indicated that the concentration of different plasma metabolites could be used to differentiate among depression models: TMA, aspartic acid, glutamate, AcAc, NAc, alanine, lactate, Leu/Ile, lipids increased and proline, β-HB, valine decreased in the CUMS model; TMA decreased in the FST-1d model; α-glucose, β-glucose, β-HB, valine and lipids increased in the FST-14d model. The results suggested that metabonomics is a potentially appropriate method for evaluating depression models. According to the metabonomics study, CUMS model was more suitable and sensitive than the acute FST-1d model and predictable FST-14d model. The CUMS model was more appropriate for investigating both the efficacy of antidepressants and their mechanisms of action, while the FST-14d model should only be used for evaluating the efficacy of treatment.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 23219962     DOI: 10.1016/j.bbr.2012.11.036

Source DB:  PubMed          Journal:  Behav Brain Res        ISSN: 0166-4328            Impact factor:   3.332


  14 in total

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9.  Chronic unpredictive mild stress leads to altered hepatic metabolic profile and gene expression.

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Review 10.  Research on the Pathological Mechanism and Drug Treatment Mechanism of Depression.

Authors:  Guo-jiang Peng; Jun-sheng Tian; Xiao-xia Gao; Yu-zhi Zhou; Xue-mei Qin
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