Literature DB >> 33279298

Development of mass spectrometry-based relatively quantitative targeted method for amino acids and neurotransmitters: Applications in the diagnosis of major depression.

Hongzhen Chen1, Huanshan Xie1, Shanqing Huang1, Tao Xiao1, Zhanzhang Wang1, Xiaojiao Ni1, Shuhua Deng1, Haoyang Lu1, Jingqin Hu1, Lu Li1, Yuguan Wen2, Dewei Shang3.   

Abstract

Targeted metabolomics analysis based on triple quadrupole (QQQ) MS coupled with multiple reaction monitoring mode (MRM) is the gold standard for metabolite quantification and it is widely applied in metabolomics. However, standard compounds for each metabolite and the corresponding analogs are necessary for quantitative measurements. To identify the differentially present metabolites in various groups, determining the relative concentration of metabolites would be more efficient than accurate quantification. In this study, a relatively quantitative targeted method was established for metabonomics research, on the basis of hydrophilic interaction liquid chromatography (HILIC)/QQQ MS operated in MRM mode. The quality control-base random forest signal correction algorithm (QC-RFSC algorithm) was applied for quality control instead of the internal standard method. High quality relative quantification was achieved without internal standards, and integrated peak areas were successfully used for statistical and pathway analyses. Amino acids and neurotransmitters (dopamine, kynurenic acid, urocanic acid, tryptophan, kynurenine, tyrosine, valine, threonine, serine, alanine, glycine, glutamine, citrulline, GABA, glutamate, aspartate, arginine, ornithine and histidine) in serum samples were simultaneously determined with the newly developed method. To demonstrate the applicability of this method in large-scale analyses, we analyzed the above metabolites in serum from patients with major depression. The serum levels of glutamate, aspartate, threonine, glycine and alanine were significantly higher, and those of citrulline, kynurenic acid and urocanic acid were significantly lower, in patients with major depression than in controls. This is the first report of the difference in urocanic acid, a compound reported to improve glutamate biosynthesis and release in the central nervous system, between healthy controls and patients with major depression.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Amino acids; HILIC-MS/MS; Major depression; Neurotransmitters; QC-RFSC algorithm; Relatively quantitative targeted method

Mesh:

Substances:

Year:  2020        PMID: 33279298     DOI: 10.1016/j.jpba.2020.113773

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  6 in total

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Journal:  Front Pharmacol       Date:  2021-12-02       Impact factor: 5.810

2.  Brain-Type Glycogen Phosphorylase Is Crucial for Astrocytic Glycogen Accumulation in Chronic Social Defeat Stress-Induced Depression in Mice.

Authors:  Yuanyuan Zhu; Ze Fan; Qiuying Zhao; Jiaqi Li; Guohong Cai; Rui Wang; Yi Liang; Naining Lu; Junjun Kang; Danlei Luo; Huiren Tao; Yan Li; Jing Huang; Shengxi Wu
Journal:  Front Mol Neurosci       Date:  2022-01-24       Impact factor: 5.639

3.  Development of a Simple, Underivatized Method for Rapid Determination of Free Amino Acids in Honey Using Dilute-and-Shoot Strategy and Liquid Chromatography-Tandem Mass Spectrometry.

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Journal:  Molecules       Date:  2022-02-04       Impact factor: 4.411

4.  Non-targeted Metabolomics Profiling of Plasma Samples From Patients With Major Depressive Disorder.

Authors:  Zhonghao Wu; Heming Yu; Yu Tian; Yue Wang; Yong He; Tianlan Lan; Yan Li; Mengge Bai; Xiangyu Chen; Zhi Chen; Ping Ji; Hongmei Zhang; Xin Jin; Jinlin Song; Ke Cheng; Peng Xie
Journal:  Front Psychiatry       Date:  2022-02-21       Impact factor: 4.157

5.  Association Between Non-Suicidal Self-Injury and Gut Microbial Characteristics in Chinese Adolescent.

Authors:  Li-Fei Cai; Shi-Bin Wang; Cai-Lan Hou; Ze-Bin Li; Yi-Jun Liao; Fu-Jun Jia
Journal:  Neuropsychiatr Dis Treat       Date:  2022-07-01       Impact factor: 2.989

6.  Altered Fecal Metabolites and Colonic Glycerophospholipids Were Associated With Abnormal Composition of Gut Microbiota in a Depression Model of Mice.

Authors:  Xue Gong; Cheng Huang; Xun Yang; Jianjun Chen; Juncai Pu; Yong He; Peng Xie
Journal:  Front Neurosci       Date:  2021-07-19       Impact factor: 4.677

  6 in total

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