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Association between Plasma Metabolic Profiles of the Antidepressant Escitalopram and Clinical Response in Subjects with Depression
DC Field | Value | Language |
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dc.contributor.author | 김세주 | - |
dc.date.accessioned | 2024-01-03T01:22:40Z | - |
dc.date.available | 2024-01-03T01:22:40Z | - |
dc.date.issued | 2023-07 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/197537 | - |
dc.description.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 principal 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 necessary, our results indicate that early improvement and plasma levels of key metabolites and ECTP are predictive of therapeutic treatment outcomes and thus can be used to guide the use of ECTP. | - |
dc.description.statementOfResponsibility | open | - |
dc.relation.isPartOf | Mass Spectrometry (Tokyo, Japan) | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | Association between Plasma Metabolic Profiles of the Antidepressant Escitalopram and Clinical Response in Subjects with Depression | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Psychiatry (정신과학교실) | - |
dc.contributor.googleauthor | Raju Bandu | - |
dc.contributor.googleauthor | Hyun Jeong Lee | - |
dc.contributor.googleauthor | Hyeong Min Lee | - |
dc.contributor.googleauthor | Tae Hyon Ha | - |
dc.contributor.googleauthor | Heon-Jeong Lee | - |
dc.contributor.googleauthor | Se Joo Kim | - |
dc.contributor.googleauthor | Kyooseob Ha | - |
dc.contributor.googleauthor | Kwang Pyo Kim | - |
dc.identifier.doi | 10.5702/massspectrometry.A0123 | - |
dc.contributor.localId | A00604 | - |
dc.identifier.pmid | 37456152 | - |
dc.subject.keyword | LC/ESI-MS/MS | - |
dc.subject.keyword | escitalopram | - |
dc.subject.keyword | major depressive disorder | - |
dc.subject.keyword | metabolites | - |
dc.subject.keyword | plasma | - |
dc.contributor.alternativeName | Kim, Se Joo | - |
dc.contributor.affiliatedAuthor | 김세주 | - |
dc.citation.volume | 12 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | A0123 | - |
dc.identifier.bibliographicCitation | Mass Spectrometry (Tokyo, Japan), Vol.12(1) : A0123, 2023-07 | - |
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