Evidence map›Paper›PMID 24870353›Full record

ArticlePloS one2014

The potential biomarker panels for identification of Major Depressive Disorder (MDD) patients with and without early life stress (ELS) by metabonomic analysis.

Xinghua Ding, Shuguang Yang, Wuju Li, Yong Liu, Zhiguo Li, Yan Zhang, Lingjiang Li, Shaojun Liu

Abstract readComparative Study
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

8 authors.

Xinghua DingState Key Laboratory of Proteomics and Department of Neurobiology, Department of Neurobiology, Institute of Basic Medical Sciences, Beijing, China.
Shuguang YangState Key Laboratory of Proteomics and Department of Neurobiology, Department of Neurobiology, Institute of Basic Medical Sciences, Beijing, China.
Wuju LiCenter of Computational Biology, Institute of Basic Medical Sciences, Beijing, China.
Yong LiuState Key Laboratory of Proteomics and Department of Neurobiology, Department of Neurobiology, Institute of Basic Medical Sciences, Beijing, China.
Zhiguo LiState Key Laboratory of Proteomics and Department of Neurobiology, Department of Neurobiology, Institute of Basic Medical Sciences, Beijing, China.
Yan ZhangMental Health Institute, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Lingjiang LiMental Health Institute, The Second Xiangya Hospital, Central South University, Changsha, Hunan, China.
Shaojun LiuState Key Laboratory of Proteomics and Department of Neurobiology, Department of Neurobiology, Institute of Basic Medical Sciences, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe lack of the disease biomarker to support objective laboratory tests still constitutes a bottleneck in the clinical diagnosis and evaluation of major depressive disorder (MDD) and its subtypes. We used metabonomic techniques to screen the diagnostic biomarker panels from the plasma of MDD patients with and without early life stress (ELS) experience.

methodsPlasma samples were collected from 25 healthy adults and 46 patients with MDD, including 23 patients with ELS and 23 patients without ELS. Furthermore, gas chromatography/mass spectrometry (GC/MS) coupled with multivariate statistical analysis was used to identify the differences in global plasma metabolites among the 3 groups.

resultsThe distinctive metabolic profiles exist either between healthy subjects and MDD patients or between the MDD patients with ELS experience (ELS/MDD patients) and the MDD patients without it (non-ELS/MDD patients), and some diagnostic panels of feature metabolites' combination have higher predictive potential than the diagnostic panels of differential metabolites.

conclusionsThese findings in this study have high potential of being used as novel laboratory diagnostic tool for MDD patients and it with ELS or not in clinical application.

Indexed as

Age FactorsBiomarkersDiscriminant AnalysisGas Chromatography-Mass SpectrometryHumansMajor Depressive DisorderMetabolomicsMultivariate AnalysisPrincipal Component AnalysisStress, PsychologicalBiomarkers

Identifiers

PMID24870353
PMCPMC4037179

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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.