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Association between Plasma Metabolic Profiles of the Antidepressant Escitalopram and Clinical Response in Subjects with Depression

Authors
 Bandu, Raju  ;  Lee, Hyun Jeong  ;  Lee, Hyeong Min  ;  Ha, Tae Hyon  ;  Lee, Heon-Jeong  ;  Kim, Se Joo  ;  Ha, Kyooseob  ;  Kim, Kwang Pyo 
Citation
 Mass Spectrometry, Vol.12(1), 2023-12 
Article Number
 A0123 
Journal Title
 Mass Spectrometry 
ISSN
 2187-137X 
Issue Date
2023-12
Keywords
escitalopram ; LC/ESI-MS/MS ; major depressive disorder ; metabolites ; plasma
Abstract
Liquid chromatography/electrospray ionization-mass spectrometry revealed plasma metabolic profiles for the antidepressant drug escitalopram (ECTP) and associated clinical responses in subjects with major depressive disorder (MDD). Metabolic profiles contribute to variations in responses to drug treatment of depression. To assess clinical responses and treatment outcomes, we quantified the levels of metabolites, including those of the parent drug, in plasma samples collected at different time points (days 0, 7, 14, and 42) during treatment of seven patients with MDD. Results showed that mean plasma levels of key metabolites and ECTP at day 7 were significantly associated with the clinical response at 42 days after treatment. Statistical analyses, including prin-cipal component analysis, of key metabolites and ECTP samples at different time points clearly distinguished the clinical responders from non-responder subjects. Although further validation with a larger cohort is nec-essary, our results indicate that early improvement and plasma levels of key metabolites and ECTP are predic-tive of therapeutic treatment outcomes and thus can be used to guide the use of ECTP. © 2023 Raju Bandu, Hyun Jeong Lee, Hyeong Min Lee, Tae Hyon Ha, Heon-Jeong Lee, Se Joo Kim, Kyooseob Ha, and Kwang Pyo Kim.
DOI
10.5702/massspectrometry.A0123
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Psychiatry (정신과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Se Joo(김세주) ORCID logo https://orcid.org/0000-0002-5438-8210
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/197537
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