Literature DB >> 29448310

Liquid chromatography/mass spectrometry-based plasma metabolic profiling study of escitalopram in subjects with major depressive disorder.

Raju Bandu1, Hyun Jeong Lee2, Hyeong Min Lee1, Tae Hyon Ha3, Heon-Jeong Lee4, Se Joo Kim5, Kyooseob Ha6, Kwang Pyo Kim1.   

Abstract

Liquid chromatography-mass spectrometry (LC-MS) method revealed the plasma metabolite profiles in major depressive disorder patients treated with escitalopram (ECTP) (n = 7). Depression severity was assessed according to the 17-item Hamilton Depression Rating Scale. Metabolic profiles were derived from major depressive disorder subject blood samples collected after ECTP treatment. Blood plasma was separated and processed in order to effectively extract metabolites, which were then analyzed using LC-MS. We identified 19 metabolites and elucidated their structures using LC-tandem MS (LC-MS/MS) combined with elemental compositions derived from accurate mass measurements. We further used online H/D exchange experiments to verify the structural elucidations of each metabolite. Identifying molecular metabolites may provide critical insights into the pharmacological and clinical effects of ECTP treatment and may also provide useful information informing the development of new antidepressant treatments. These detailed plasma metabolite analyses may also be used to identify optimal dose concentrations in psychopharmacotherapeutic treatment through drug monitoring, as well as forming the basis for response predictions in depressed subjects.
Copyright © 2018 John Wiley & Sons, Ltd.

Entities:  

Keywords:  LC/ESI-MS/MS; escitalopram; major depressive disorder subjects; metabolites; plasma

Mesh:

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Year:  2018        PMID: 29448310     DOI: 10.1002/jms.4070

Source DB:  PubMed          Journal:  J Mass Spectrom        ISSN: 1076-5174            Impact factor:   1.982


  5 in total

1.  Determination of atomoxetine or escitalopram in human plasma by HPLC: Applications in neuroscience research studies
.

Authors:  Jens Teichert; James B Rowe; Karen D Ersche; Nikolina Skandali; Julia Sacher; Achim Aigner; Ralf Regenthal
Journal:  Int J Clin Pharmacol Ther       Date:  2020-08       Impact factor: 1.366

2.  Altered gut metabolome contributes to depression-like behaviors in rats exposed to chronic unpredictable mild stress.

Authors:  Li Jianguo; Jia Xueyang; Wang Cui; Wu Changxin; Qin Xuemei
Journal:  Transl Psychiatry       Date:  2019-01-29       Impact factor: 6.222

3.  Gut Microbiota and Depressive Symptoms at the End of CRT for Rectal Cancer: A Cross-Sectional Pilot Study.

Authors:  Velda J Gonzalez-Mercado; Jean Lim; Leorey N Saligan; Nicole Perez; Carmen Rodriguez; Raul Bernabe; Samia Ozorio; Elsa Pedro; Farrah Sepehri; Brad Aouizerat
Journal:  Depress Res Treat       Date:  2021-12-29

4.  Untargeted Plasma Metabolomic Profiling in Patients with Major Depressive Disorder Using Ultra-High Performance Liquid Chromatography Coupled with Mass Spectrometry.

Authors:  Claudia Homorogan; Diana Nitusca; Virgil Enatescu; Philip Schubart; Corina Moraru; Carmen Socaciu; Catalin Marian
Journal:  Metabolites       Date:  2021-07-20

5.  Metabolomics-based discrimination of patients with remitted depression from healthy controls using 1H-NMR spectroscopy.

Authors:  Ching-I Hung; Gigin Lin; Meng-Han Chiang; Chih-Yung Chiu
Journal:  Sci Rep       Date:  2021-08-02       Impact factor: 4.379

  5 in total

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