Evidence map›Paper›PMID 37456152›Full record

ArticleMass spectrometry (Tokyo, Japan)2023

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

Raju Bandu, Hyun Jeong Lee, Hyeong Min Lee, Tae Hyon Ha, Heon-Jeong Lee, Se Joo Kim, Kyooseob Ha, Kwang Pyo Kim

Open access · diamondAbstract read
In one paragraph

Article in Mass spectrometry (Tokyo, Japan), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 90% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 6 institutions in 6 countries.

Raju BanduDepartment of Applied Chemistry, Institute of Natural Science, Global Center for Pharmaceutical Ingredient Materials, Kyung Hee University, Yongin 17104, Republic of Korea.
Hyun Jeong LeeDivision of Cancer Control & Policy, National Cancer Survivorship Center, Goyang, Gyeonggi 10408, Republic of Korea.
Hyeong Min LeeDepartment of Applied Chemistry, Institute of Natural Science, Global Center for Pharmaceutical Ingredient Materials, Kyung Hee University, Yongin 17104, Republic of Korea.
Tae Hyon HaDepartment of Psychiatry, Seoul National University Bundang Hospital, Seongnam, Gyeonggi 13620, Republic of Korea.
Heon-Jeong LeeDepartment of Psychiatry, Korea University College of Medicine, Seoul 02841, Republic of Korea.
Se Joo KimDepartment of Psychiatry and Institute of Behavioral Science in Medicine, Yonsei University, College of Medicine, Seoul 03722, Republic of Korea.
Kyooseob HaDepartment of Psychiatry and Behavioral Neuroscience, Seoul National University College of Medicine, Seoul 08826, Republic of Korea.
Kwang Pyo KimDepartment of Applied Chemistry, Institute of Natural Science, Global Center for Pharmaceutical Ingredient Materials, Kyung Hee University, Yongin 17104, Republic of Korea.
National Coalition for Cancer Survivorship · USJohns Hopkins University · USKyung Hee University · KRSeoul National University · KRSeoul National University Bundang Hospital · KRYonsei University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

escitalopramLC/ESI-MS/MSmajor depressive disordermetabolitesplasma

Identifiers

PMID37456152
PMCPMC10338262
OpenAlexW4378907974

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.