Evidence map›Paper›PMID 29991685›Full record

ArticleTranslational psychiatry2018

Diagnosis of major depressive disorder based on changes in multiple plasma neurotransmitters: a targeted metabolomics study.

Jun-Xi Pan, Jin-Jun Xia, Feng-Li Deng, Wei-Wei Liang, Jing Wu, Bang-Min Yin, Mei-Xue Dong, Jian-Jun Chen, Fei Ye, Hai-Yang Wang and 2 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05603819 (Clinical Validation Study for EDIT-B Test), which is not on this map. Cited by 132 papers, 15 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
132citing papers in PubMed, 15 pooled it
5.4field-weighted citation impact, top 3% 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.

NCT05603819 completednot on this mapstarted 2022, after this paper: background citation

Clinical Validation Study for EDIT-B Test: an Aid for Differential Diagnosis of Bipolar Disorder, Based on RNA Editing Blood Biomarkers

TypeobservationalSponsorAlcediagRan2022 to 2024Enrolled418ConditionsBipolar Disorder, Major Depressive DisorderArmsEDIT-B
3 · Its place in the literature

Who cites it

132 citing papers in PubMed, 15 syntheses or guidelines pooled it, 222 citations in OpenAlex.

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72 more citing papers are in PubMed but not listed here.

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

12 authors at 2 institutions in 1 country.

Jun-Xi PanDepartment of Neurology, Yongchuan Hospital, Chongqing Medical University, Chongqing, 402460, China.
Jin-Jun XiaDepartment of Neurology, Yongchuan Hospital, Chongqing Medical University, Chongqing, 402460, China.
Feng-Li DengChongqing Key Laboratory of Neurobiology, Chongqing, 400016, China.
Wei-Wei LiangDepartment of Neurology, Yongchuan Hospital, Chongqing Medical University, Chongqing, 402460, China.
Jing WuChongqing Key Laboratory of Neurobiology, Chongqing, 400016, China.
Bang-Min YinDepartment of Neurology, Yongchuan Hospital, Chongqing Medical University, Chongqing, 402460, China.
Mei-Xue DongChongqing Key Laboratory of Neurobiology, Chongqing, 400016, China.
Jian-Jun ChenChongqing Key Laboratory of Neurobiology, Chongqing, 400016, China.
Fei YeChongqing Key Laboratory of Neurobiology, Chongqing, 400016, China.
Hai-Yang WangChongqing Key Laboratory of Neurobiology, Chongqing, 400016, China.
Peng ZhengChongqing Key Laboratory of Neurobiology, Chongqing, 400016, China. peng-zheng@foxmail.com.
Peng XieDepartment of Neurology, Yongchuan Hospital, Chongqing Medical University, Chongqing, 402460, China. xiepeng@cqmu.edu.cn.
Chongqing Medical University · CNFirst Affiliated Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major depressive disorder (MDD) is a debilitating psychiatric illness. However, there is currently no objective laboratory-based diagnostic tests for this disorder. Although, perturbations in multiple neurotransmitter systems have been implicated in MDD, the biochemical changes underlying the disorder remain unclear, and a comprehensive global evaluation of neurotransmitters in MDD has not yet been performed. Here, using a GC-MS coupled with LC-MS/MS-based targeted metabolomics approach, we simultaneously quantified the levels of 19 plasma metabolites involved in GABAergic, catecholaminergic, and serotonergic neurotransmitter systems in 50 first-episode, antidepressant drug-naïve MDD subjects and 50 healthy controls to identify potential metabolite biomarkers for MDD (training set). Moreover, an independent sample cohort comprising 49 MDD patients, 30 bipolar disorder (BD) patients and 40 healthy controls (testing set) was further used to validate diagnostic generalizability and specificity of these candidate biomarkers. Among the 19 plasma neurotransmitter metabolites examined, nine were significantly changed in MDD subjects. These metabolites were mainly involved in GABAergic, catecholaminergic and serotonergic systems. The GABAergic and catecholaminergic had better diagnostic value than serotonergic pathway. A panel of four candidate plasma metabolite biomarkers (GABA, dopamine, tyramine, kynurenine) could distinguish MDD subjects from health controls with an AUC of 0.968 and 0.953 in the training and testing set, respectively. Furthermore, this panel distinguished MDD subjects from BD subjects with high accuracy. This study is the first to globally evaluate multiple neurotransmitters in MDD plasma. The altered plasma neurotransmitter metabolite profile has potential differential diagnostic value for MDD.

Indexed as

AdultArea Under CurveBiomarkersBipolar DisorderCase-Control StudiesCohort StudiesFemaleGas Chromatography-Mass SpectrometryHumansLogistic ModelsMajor Depressive DisorderMaleMetabolic Networks and PathwaysMetabolomicsMiddle AgedNeurotransmitter AgentsBiomarkersNeurotransmitter Agents

Identifiers

PMID29991685
PMCPMC6039504
OpenAlexW2812177042

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.