Related Experiment Video
Updated: Feb 14, 2026

Quantitative Metabolomics of Saccharomyces Cerevisiae Using Liquid Chromatography Coupled with Tandem Mass Spectrometry
Published on: January 5, 2021
Liquid chromatography/mass spectrometry-based plasma metabolic profiling study of escitalopram in subjects with major
Raju Bandu1, Hyun Jeong Lee2, Hyeong Min Lee1
1Department of Applied Chemistry, Institute of Natural Science, Kyung Hee Medical Science Research Institute, College of Applied Science, Kyung Hee University, Yong-in, 17104, Republic of Korea.
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.
More Related Videos
Related Concept Videos
Gas Chromatography–Mass Spectrometry (GC–MS)
A gas chromatograph consists of a long, narrow capillary column with a polysiloxane coating on the inner wall....
Depressive Disorders: Etiology
Biological Factors in Depression
Biological predispositions significantly influence the risk of developing depressive disorders. Genetic studies highlight the role of variations in the serotonin transporter...
Inductively Coupled Plasma-Mass Spectrometry (ICP-MS): Interferences
Inductively Coupled Plasma–Mass Spectrometry (ICP–MS): Overview
Depressive Disorders: MDD and Dysthymia
High-Performance Liquid Chromatography: Introduction
In HPLC, two phases play a critical role in the separation process:

