Metabolomic identification of biochemical changes induced by fluoxetine and imipramine in a chronic mild stress mouse model of depression

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作者
Jing Zhao
Yang-Hee Jung
Choon-Gon Jang
Kwang-Hoon Chun
Sung Won Kwon
Jeongmi Lee
机构
[1] School of Pharmacy,College of Pharmacy
[2] Sungkyunkwan University,undefined
[3] Gachon Institute of Pharmaceutical Sciences,undefined
[4] College of Pharmacy,undefined
[5] Gachon University,undefined
[6] Seoul National University,undefined
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Metabolomics was applied to a C57BL/6N mouse model of chronic unpredictable mild stress (CMS). Such mice were treated with two antidepressants from different categories: fluoxetine and imipramine. Metabolic profiling of the hippocampus was performed using gas chromatography-mass spectrometry analysis on samples prepared under optimized conditions, followed by principal component analysis, partial least squares-discriminant analysis and pair-wise orthogonal projections to latent structures discriminant analyses. Body weight measurement and behavior tests including an open field test and the forced swimming test were completed with the mice as a measure of the phenotypes of depression and antidepressive effects. As a result, 23 metabolites that had been differentially expressed among the control, CMS and antidepressant-treated groups demonstrated that amino acid metabolism, energy metabolism, adenosine receptors and neurotransmitters are commonly perturbed by drug treatment. Potential predictive markers for treatment effect were identified: myo-inositol for fluoxetine and lysine and oleic acid for imipramine. Collectively, the current study provides insights into the molecular mechanisms of the antidepressant effects of two widely used medications.
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