Literature DB >> 20567771

Metabonomics study of urine and plasma in depression and excess fatigue rats by ultra fast liquid chromatography coupled with ion trap-time of flight mass spectrometry.

Fengxia Zhang1, Zhenhua Jia, Peng Gao, Hongwei Kong, Xiang Li, Xin Lu, Yiling Wu, Guowang Xu.   

Abstract

A novel metabonomic method based on fast liquid chromatography coupled with ion trap-time of flight mass spectrometry (UFLC/MS-IT-TOF) was applied to study the metabolic changes of plasma and urine in depression and excess fatigue rats. Principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA) were applied for classifying the depression, excess fatigue and the control rats. Metabolites which were important for the classification in the three groups of rats were selected as potential biomarkers and identified by MS(n) information achieved from UFLC/MS-IT-TOF analysis. Spermine, propionylcarnitine, butyrylcarnitine, phenylalanine, lysophosphatidylcholine (LPC) C14:0 and LPC C18:2 were down-regulated, methyl-hippuric acid and chenodeoxycholic acid (CDCA) were up-regulated significantly in plasma of the excess fatigue rats. Spermine, leucine, propionylcarnitine, and butyrylcarnitine decreased, hippuric acid, methyl-hippuric acid, cholic acid, CDCA and LPC C16:0 increased markedly in plasma of the depression rats. Ethyl N2-acetyl-L-argininate and N-methyl-2-pyridone-5-carboxamide (2-PY) (or N-methyl-4-pyridone-3-carboxamide (4-PY)) were down-regulated, leucylproline and pantothenic acid were up-regulated remarkably both in urine of depression and excess fatigue rats. The concentration of kynurenic acid and N2-succinyl-L-ornithine was low in urine of depression rats compared with control rats. Based on the data, correlation networks for depression and excess fatigue rats revealed the abnormality of nicotinate and nicotinamide metabolism, arginine metabolism, cholesterol metabolism, tryptophan metabolism and kynurenine metabolism in depression rats, and in excess fatigue rat alterations of energy metabolism, nicotinate and nicotinamide metabolism and lecithin metabolism. Our results provide novel insights in the complex metabolic mechanisms occurring in depression and excess fatigue rats.

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Year:  2010        PMID: 20567771     DOI: 10.1039/b914751a

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  24 in total

1.  Identification and validation of urinary metabolite biomarkers for major depressive disorder.

Authors:  Peng Zheng; Ying Wang; Liang Chen; Deyu Yang; Huaqing Meng; Dezhi Zhou; Jiaju Zhong; Yang Lei; N D Melgiri; Peng Xie
Journal:  Mol Cell Proteomics       Date:  2012-10-30       Impact factor: 5.911

Review 2.  What Have Mass Spectrometry-Based Proteomics and Metabolomics (Not) Taught Us about Psychiatric Disorders?

Authors:  Christoph W Turck; Michaela D Filiou
Journal:  Mol Neuropsychiatry       Date:  2015-05-12

3.  Hypophosphatemia after Hepatectomy or Pancreatectomy: Role of the Nicotinamide Phosphoribosyltransferase.

Authors:  Jian Zheng; Ilya G Glezerman; Eran Sadot; Anjuli McNeil; Cristina Zarama; Mithat Gönen; John Creasy; Linda M Pak; Vinod P Balachandran; Michael I D'Angelica; Peter J Allen; Ronald P DeMatteo; T Peter Kingham; William R Jarnagin; Edgar A Jaimes
Journal:  J Am Coll Surg       Date:  2017-07-06       Impact factor: 6.113

4.  The lipidome in major depressive disorder: Shared genetic influence for ether-phosphatidylcholines, a plasma-based phenotype related to inflammation, and disease risk.

Authors:  E E M Knowles; K Huynh; P J Meikle; H H H Göring; R L Olvera; S R Mathias; R Duggirala; L Almasy; J Blangero; J E Curran; D C Glahn
Journal:  Eur Psychiatry       Date:  2017-02-21       Impact factor: 5.361

5.  Microbial-mammalian cometabolites dominate the age-associated urinary metabolic phenotype in Taiwanese and American populations.

Authors:  Jonathan R Swann; Konstantina Spagou; Matthew Lewis; Jeremy K Nicholson; Dana A Glei; Teresa E Seeman; Christopher L Coe; Noreen Goldman; Carol D Ryff; Maxine Weinstein; Elaine Holmes
Journal:  J Proteome Res       Date:  2013-06-24       Impact factor: 4.466

6.  A metabonomic investigation on the biochemical perturbation in post-stroke patients with depressive disorder (PSD).

Authors:  Xinghua Ding; Ruoxu Liu; Wenkai Li; Hengjia Ni; Yong Liu; Dandan Wu; Shuguang Yang; Jing Liu; Bo Xiao; Shaojun Liu
Journal:  Metab Brain Dis       Date:  2015-11-05       Impact factor: 3.584

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

Authors:  Jing Zhao; Yang-Hee Jung; Choon-Gon Jang; Kwang-Hoon Chun; Sung Won Kwon; Jeongmi Lee
Journal:  Sci Rep       Date:  2015-03-09       Impact factor: 4.379

8.  Pharmacometabolomics of response to sertraline and to placebo in major depressive disorder - possible role for methoxyindole pathway.

Authors:  Hongjie Zhu; Mikhail B Bogdanov; Stephen H Boyle; Wayne Matson; Swati Sharma; Samantha Matson; Erik Churchill; Oliver Fiehn; John A Rush; Ranga R Krishnan; Eve Pickering; Marielle Delnomdedieu; Rima Kaddurah-Daouk
Journal:  PLoS One       Date:  2013-07-17       Impact factor: 3.240

Review 9.  Proteomics, metabolomics, and protein interactomics in the characterization of the molecular features of major depressive disorder.

Authors:  Daniel Martins-de-Souza
Journal:  Dialogues Clin Neurosci       Date:  2014-03       Impact factor: 5.986

10.  The potential biomarker panels for identification of Major Depressive Disorder (MDD) patients with and without early life stress (ELS) by metabonomic analysis.

Authors:  Xinghua Ding; Shuguang Yang; Wuju Li; Yong Liu; Zhiguo Li; Yan Zhang; Lingjiang Li; Shaojun Liu
Journal:  PLoS One       Date:  2014-05-28       Impact factor: 3.240

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