Evidence map›Paper›PMID 41139598›Full record

ArticleClinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology2025

Molecular Characteristics of Spontaneous Remission in Major Depressive Disorder: Changes in Serum Acetylcarnitine and Glycerophosphcholine Levels.

Seungyeon Lee, Sora Mun, Yeeun Yun, Myoung Soo Woo, Hee-Gyoo Kang, Jiyeong Lee

Abstract read
In one paragraph

Article in Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Seungyeon LeeDepartment of Senior Healthcare, Graduate School, Eulji University, Uijeongbu, Korea.ORCID https://orcid.org/0000-0002-5303-2087
Sora MunDepartment of Biomedical Laboratory Science, College of Health Science, Eulji University, Seongnam, Korea.ORCID https://orcid.org/0000-0003-1444-8984
Yeeun YunDepartment of Biomedical Laboratory Science, Graduate School, Eulji University, Uijeongbu, Korea.ORCID https://orcid.org/0009-0009-4070-1614
Myoung Soo WooDepartment of Biomedical Laboratory Science, Jeonju Kijeon College, Jeonju, Korea.ORCID https://orcid.org/0000-0002-3005-1234
Hee-Gyoo KangDepartment of Senior Healthcare, Graduate School, Eulji University, Uijeongbu, Korea.ORCID https://orcid.org/0000-0001-8690-2483
Jiyeong LeeDepartment of Biomedical Laboratory Science, Graduate School, Eulji University, Uijeongbu, Korea.ORCID https://orcid.org/0000-0002-1987-4109

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Spontaneous remission may influence the outcome of clinical trials and evaluation of antidepressant efficacy, as it is associated with placebo effects and false remission rates. However, the characteristics of spontaneous remission and its biological mechanisms remain poorly understood. This study aimed to explore the metabolic signatures and underlying biological mechanisms of spontaneous remission using metabolomics. Methods: This study conducted untargeted and targeted metabolomic analyses in a discovery cohort (n = 16) comprising patients with major depressive disorder (MDD) and those who were spontaneously remitted without medication. Findings were validated in an independent cohort (n = 185), comprising drug-treated patients and healthy controls. Results: Acetylcarnitine levels were significantly increased in spontaneous remission compared to depression, whereas glycerophosphocholine levels were decreased in spontaneous remission. Both metabolites showed the highest concentration in the control group, followed by the remission group, and the lowest concentration in the depression group, regardless of medication status. These changes suggest alterations in mitochondrial and membrane lipid metabolism. Conclusion: Altered levels in acetylcarnitine and glycerophosphocholine may reflect key pathogenic mechanisms of MDD. These findings offer new insight into spontaneous remission as a distinct clinical subtype of depression and may highlight the potential of these metabolites as biomarkers for treatment monitoring in MDD.

Indexed as

AcetylcarnitineDepressive disorder, majorGlycerophosphocholineMetabolomicsRemission, spontaneous

Identifiers

PMID41139598
PMCPMC12559932

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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.