Evidence map›Paper›PMID 38605232›Full record

ArticlePsychopharmacology2024

Dysregulations of amino acid metabolism and lipid metabolism in urine of children and adolescents with major depressive disorder: a case-control study.

Yuanliang Jiang, Yuping Cai, Teng Teng, Xiaolin Wang, Bangmin Yin, Xuemei Li, Ying Yu, Xueer Liu, Jie Wang, Hongyan Wu and 3 more

Abstract read
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In one paragraph

Article in Psychopharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

13 authors at 3 institutions in 1 country.

Yuanliang Jiang *Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yuping Cai *Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, China.
Teng Teng *Department of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xiaolin WangHealth Management Center, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Bangmin YinDepartment of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xuemei LiDepartment of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Ying YuDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Xueer LiuDepartment of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jie WangDepartment of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Hongyan WuDepartment of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yuqian HeDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zheng-Jiang ZhuInterdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, China. jiangzhu@sioc.ac.cn.
Xinyu ZhouDepartment of Psychiatry, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China. zhouxinyu@cqmu.edu.cn.ORCID http://orcid.org/0000-0003-1908-0357
The Affiliated Yongchuan Hospital of Chongqing Medical University · CNChinese Academy of Sciences · CNShanghai University · CN

Funding

Shanghai Key Laboratory of Aging Studies 19DZ2260400Shanghai Municipal Science and Technology Major Project 2019SHZDZX02the institutional funds from the Chongqing Science and Technology Commission cstc2020jcyj-jqX0024the Major Program of Brain Science and Brain-Like Intelligence Technology 2022ZD0212900the National Natural Science Foundation of China 82271565the Postdoctoral Fellowship Program of China Postdoctoral Science Foundation 2023TQ0398the Postdoctoral Fellowship Program of China Postdoctoral Science Foundation GZB20230916
6 · The paper itself

Abstract

rationaleThe mechanisms underlying major depressive disorder (MDD) in children and adolescents are unclear. Metabolomics has been utilized to capture metabolic signatures of various psychiatric disorders; however, urinary metabolic profile of MDD in children and adolescents has not been studied.

objectivesWe analyzed urinary metabolites in children and adolescents with MDD to identify potential biomarkers and metabolic signatures.

methodsHere, liquid chromatography-mass spectrometry was used to profile metabolites in urine samples from 192 subjects, comprising 80 individuals with antidepressant-naïve MDD (AN-MDD), 37 with antidepressant-treated MDD (AT-MDD) and 75 healthy controls (HC). We performed orthogonal partial least squares discriminant analysis to identify differential metabolites and employed logistic regression and receiver operating characteristic analysis to establish a diagnostic panel.

resultsIn total, 143 and 71 differential metabolites were identified in AN-MDD and AT-MDD, respectively. These were primarily linked to lipid metabolism, molecular transport, and small molecule biochemistry. AN-MDD additionally exhibited dysregulated amino acid metabolism. Compared to HC, a diagnostic panel of seven metabolites displayed area under the receiver operating characteristic curves of 0.792 for AN-MDD, 0.828 for AT-MDD, and 0.799 for all MDD. Furthermore, the urinary metabolic profiles of children and adolescents with MDD significantly differed from those of adult MDD.

conclusionsOur research suggests dysregulated amino acid metabolism and lipid metabolism in the urine of children and adolescents with MDD, similar to results in plasma metabolomics studies. This contributes to the comprehension of mechanisms underlying children and adolescents with MDD.

Indexed as

Amino AcidsBiomarkersLipid MetabolismMajor Depressive DisorderMetabolomicsAdolescentAntidepressive AgentsCase-Control StudiesChildChromatography, LiquidFemaleHumansMaleMass SpectrometryROC CurveAmino AcidsAntidepressive AgentsBiomarkersBiomarkerChildren and adolescentsMajor depressive disorderMetabolomicsUrine

Identifiers

PMID38605232
OpenAlexW4394757969

What OpenQuestion holds

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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.