Evidence map›Paper›PMID 40928689›Full record

ArticleMetabolic brain disease2025

Transformations in plasma metabolic profiles of patients with major depression disorder during treatment.

Yujing Du, Xixuan Li, Shufang Zhang, Jingxuan Tan, Ying Zhu, Xuejia Zhai, Yongning Lu

Abstract read
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In one paragraph

Article in Metabolic brain disease, 2025. 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
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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.

No citing paper in PubMed yet.

4 · The record

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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

7 authors.

Yujing Du *Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277, Jiefang Avenue, Wuhan, Hubei, 430022, China.ORCID 0000-0002-0163-2582
Xixuan Li *Department of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277, Jiefang Avenue, Wuhan, Hubei, 430022, China.ORCID 0000-0001-5034-2840
Shufang Zhang *Department of Psychiatry, Renmin Hospital of Wuhan University, Wuhan, China.ORCID 0000-0002-5493-6248
Jingxuan TanDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277, Jiefang Avenue, Wuhan, Hubei, 430022, China.ORCID 0000-0002-3340-0583
Ying ZhuDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277, Jiefang Avenue, Wuhan, Hubei, 430022, China.ORCID 0000-0001-7952-6168
Xuejia ZhaiDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277, Jiefang Avenue, Wuhan, Hubei, 430022, China. zhaixuejia@hust.edu.cn.ORCID 0000-0002-1409-9748
Yongning LuDepartment of Pharmacy, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, No. 1277, Jiefang Avenue, Wuhan, Hubei, 430022, China. luyn_union@hust.edu.cn.ORCID 0000-0001-7172-9913

Funding

Key Research and Development Plan of Hubei Province 2023BCB030Natural Science Foundation of Hubei Province 2024AFB645Project of Administration of Traditional Chinese Medicine of Hubei Province of China ZY2025Q025
6 · The paper itself

Abstract

Major depression disorder (MDD) is a mental condition that significantly threatens both physical and psychological health. This study aimed to discern variances in plasma metabolic profiles between MDD sufferers and healthy counterparts. Additionally, we tracked the hospitalization journey of MDD patients to investigate the normalization of metabolic irregularities through conventional treatment in the form of self-control. Ultra-Performance Liquid Chromatography - Mass Spectrometry was employed to analyze the metabolic profiles of 47 plasma samples, including 12 controls and 12 MDD patients at three distinct clinical stages (untreated baseline, 1-month post-treatment, and 2-month post-treatment). Multivariate statistical analysis and K-means clustering were executed to pinpoint significantly different metabolites between the groups and specific metabolites showing an ideal trend of variation. Subsequently, these metabolites were mapped onto Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways to preliminarily explore the potential mechanism of metabolic shifts in MDD. We identified 14 significantly different metabolites between MDD patients and controls. Among these, the relative levels of 9-hydroperoxy octadecadienoic acid, imidazoleacetic acid, thromboxane B2, and arachidonic acid displayed a regular trend of variation post-treatment. Further integration analysis yielded a novel metabolite-pathway network comprising these 4 specific metabolites and 8 pathways. These findings suggest that transitions in metabolic pathways during the onset and treatment of MDD are primarily governed by lipid metabolism and its associated signaling pathway system, with the involvement of histidine metabolism. The identified metabolites hold promise for diagnosing and evaluating the therapeutic efficacy of MDD, and provide a foundation for future research into the potential mechanisms underlying MDD.

Indexed as

Major Depressive DisorderMetabolomeAdultFemaleHumansMaleMetabolic Networks and PathwaysMetabolomicsMiddle AgedHistidine metabolismLipid metabolismMajor depression disorderMetabolomicsPathways

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Registered trials

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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.