Evidence map›Paper›PMID 40797350›Full record

ArticleBiomedical chromatography : BMC2025

Biomarker for Diagnosis and Monitoring of Treatment Response in Major Depressive Disorder: Changes in Serum L-Glutamine Levels.

Seungyeon Lee, You-Rim Lee, Sora Mun, Yeeun Yun, Hee-Gyoo Kang, Jiyeong Lee

Abstract read
In one paragraph

Article in Biomedical chromatography : BMC, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Review
  2. Article
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

6 authors.

Seungyeon LeeDepartment of Senior Healthcare, Graduate School, Eulji University, Uijeongbu, Republic of Korea.
You-Rim LeeDepartment of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Sora MunDepartment of Biomedical Laboratory Science, College of Health Sciences, Eulji University, Seongnam, Republic of Korea.
Yeeun YunDepartment of Biomedical Laboratory Science, Graduate School, Eulji University, Uijeongbu, Republic of Korea.ORCID https://orcid.org/0009-0009-4070-1614
Hee-Gyoo KangDepartment of Senior Healthcare, Graduate School, Eulji University, Uijeongbu, Republic of Korea.ORCID https://orcid.org/0000-0001-8690-2483
Jiyeong LeeDepartment of Biomedical Laboratory Science, Graduate School, Eulji University, Uijeongbu, Republic of Korea.ORCID https://orcid.org/0000-0002-1987-4109

Funding

National Research Foundation of Korea 2020R1C1C1009196
6 · The paper itself

Abstract

Major depressive disorder (MDD) is a mood disorder that causes serious functional impairment. Existing diagnostic methods rely on subjective assessments because of its complex and heterogeneous pathophysiology; therefore, development of objective biomarkers is urgently needed. To control the high heterogeneity of MDD, a pairwise design in which depressed and remitted states of the same patient were paired to minimize the influence of intrinsic factors was introduced, and serum metabolite changes between states were analyzed using non-targeted and targeted metabolomics approaches. State-based biomarkers that could be used for objective diagnosis of MDD were identified, and their clinical applicability was validated in an expanded study group. L-Glutamine was selected because it showed a tendency to increase during the remitted state. Through multiple reaction monitoring-based quantitative verification, L-glutamine levels significantly increased in the remitted state compared with those in the depressed state, regardless of the influence of drug treatment, proving its potential as a diagnostic marker. This study identified differences in serum metabolites in patients with MDD using a metabolomic approach; L-glutamine could be used as a promising biomarker to distinguish between depressive and remissive states. These results can contribute to the precise diagnosis of MDD and establishment of personalized treatment strategies.

Indexed as

BiomarkersGlutamineMajor Depressive DisorderAdultAntidepressive AgentsFemaleHumansLinear ModelsMaleMetabolomicsMiddle AgedReproducibility of ResultsAntidepressive AgentsBiomarkersGlutaminedepressionL‐glutaminemajor depressive disordermetabolomicsremission

Identifiers

PMID40797350
PMCPMC12351664

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.