Literature DB >> 22749229

Potential clinical utility of plasma amino acid profiling in the detection of major depressive disorder.

Hong-Bo Xu1, Liang Fang, Zi-Cheng Hu, Yi-Chen Chen, Jian-Jun Chen, Fang-Fang Li, Jia Lu, Jun Mu, Peng Xie.   

Abstract

Plasma amino acids levels were measured in first-onset treatment-naïve depressed patients (n=26) and healthy controls (n=25) using a mass spectrometry-based method. One of the major findings was that a logistic regression model constructed from tryptophan, glutamine and cysteine discriminated depressed subjects from controls with a receiver-operating-characteristic curve integral of 0.90. Crown
Copyright © 2012. Published by Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 22749229     DOI: 10.1016/j.psychres.2012.05.027

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  13 in total

1.  Optimization and validation of a capillary electrophoresis laser-induced fluorescence method for amino acids determination in human plasma: application to bipolar disorder study.

Authors:  Ma Paz Lorenzo; Alma Villaseñor; Anuradha Ramamoorthy; Antonia Garcia
Journal:  Electrophoresis       Date:  2013-05-08       Impact factor: 3.535

2.  Serum proteomic profiling of major depressive disorder.

Authors:  M Bot; M K Chan; R Jansen; F Lamers; N Vogelzangs; J Steiner; F M Leweke; M Rothermundt; J Cooper; S Bahn; B W J H Penninx
Journal:  Transl Psychiatry       Date:  2015-07-14       Impact factor: 6.222

Review 3.  Metabolomics for the masses: The future of metabolomics in a personalized world.

Authors:  Drupad K Trivedi; Katherine A Hollywood; Royston Goodacre
Journal:  New Horiz Transl Med       Date:  2017-03

4.  Metabolite identification in fecal microbiota transplantation mouse livers and combined proteomics with chronic unpredictive mild stress mouse livers.

Authors:  Bo Li; Kenan Guo; Li Zeng; Benhua Zeng; Ran Huo; Yuanyuan Luo; Haiyang Wang; Meixue Dong; Peng Zheng; Chanjuan Zhou; Jianjun Chen; Yiyun Liu; Zhao Liu; Liang Fang; Hong Wei; Peng Xie
Journal:  Transl Psychiatry       Date:  2018-01-31       Impact factor: 6.222

5.  Serum proteomic profiles of depressive subtypes.

Authors:  F Lamers; M Bot; R Jansen; M K Chan; J D Cooper; S Bahn; B W J H Penninx
Journal:  Transl Psychiatry       Date:  2016-07-12       Impact factor: 6.222

6.  Elevated peripheral blood glutamate levels in major depressive disorder.

Authors:  Masatoshi Inoshita; Hidehiro Umehara; Shin-Ya Watanabe; Masahito Nakataki; Makoto Kinoshita; Yukiko Tomioka; Atsushi Tajima; Shusuke Numata; Tetsuro Ohmori
Journal:  Neuropsychiatr Dis Treat       Date:  2018-04-06       Impact factor: 2.570

7.  Evaluation of Metal Oxide Surface Catalysts for the Electrochemical Activation of Amino Acids.

Authors:  Christian A Tooley; Charles H Gasperoni; Sabrina Marnoto; Jeffrey Mark Halpern
Journal:  Sensors (Basel)       Date:  2018-09-18       Impact factor: 3.576

8.  Metabonomics reveals peripheral and central short-chain fatty acid and amino acid dysfunction in a naturally occurring depressive model of macaques.

Authors:  Feng-Li Deng; Jun-Xi Pan; Peng Zheng; Jin-Jun Xia; Bang-Min Yin; Wei-Wei Liang; Yi-Fan Li; Jing Wu; Fan Xu; Qing-Yuan Wu; Chao-Hua Qu; Wei Li; Hai-Yang Wang; Peng Xie
Journal:  Neuropsychiatr Dis Treat       Date:  2019-05-01       Impact factor: 2.570

9.  Metabolomic biosignature differentiates melancholic depressive patients from healthy controls.

Authors:  Yashu Liu; Lynn Yieh; Tao Yang; Wilhelmus Drinkenburg; Pieter Peeters; Thomas Steckler; Vaibhav A Narayan; Gayle Wittenberg; Jieping Ye
Journal:  BMC Genomics       Date:  2016-08-23       Impact factor: 3.969

10.  Diagnosis of major depressive disorder based on changes in multiple plasma neurotransmitters: a targeted metabolomics study.

Authors:  Jun-Xi Pan; Jin-Jun Xia; Feng-Li Deng; Wei-Wei Liang; Jing Wu; Bang-Min Yin; Mei-Xue Dong; Jian-Jun Chen; Fei Ye; Hai-Yang Wang; Peng Zheng; Peng Xie
Journal:  Transl Psychiatry       Date:  2018-07-10       Impact factor: 6.222

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