Evidence map›Paper›PMID 26134254›Full record

ArticleOmics : a journal of integrative biology2015

Combined Metabolomics and Proteomics Analysis of Major Depression in an Animal Model: Perturbed Energy Metabolism in the Chronic Mild Stressed Rat Cerebellum.

Wei-hua Shao, Jian-jun Chen, Song-hua Fan, Yang Lei, Hong-bo Xu, Jian Zhou, Peng-fei Cheng, Yong-tao Yang, Cheng-long Rao, Bo Wu and 2 more

Open access · greenAbstract read
In one paragraph

Article in Omics : a journal of integrative biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

44 citing papers in PubMed, 1 synthesis or guideline pooled it, 94 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

12 authors at 2 institutions in 1 country.

Wei-hua Shao1 Department of Respiratory Medicine, First Affiliated Hospital of Chongqing Medical University , Chongqing, China .
Jian-jun Chen3 Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University , Chongqing, China .
Song-hua Fan2 Department of Neurology, First Affiliated Hospital of Chongqing Medical University , Chongqing, China .
Yang Lei2 Department of Neurology, First Affiliated Hospital of Chongqing Medical University , Chongqing, China .
Hong-bo Xu2 Department of Neurology, First Affiliated Hospital of Chongqing Medical University , Chongqing, China .
Jian Zhou3 Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University , Chongqing, China .
Peng-fei Cheng2 Department of Neurology, First Affiliated Hospital of Chongqing Medical University , Chongqing, China .
Yong-tao Yang2 Department of Neurology, First Affiliated Hospital of Chongqing Medical University , Chongqing, China .
Cheng-long Rao3 Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University , Chongqing, China .
Bo Wu3 Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University , Chongqing, China .
Hai-peng Liu2 Department of Neurology, First Affiliated Hospital of Chongqing Medical University , Chongqing, China .
Peng Xie2 Department of Neurology, First Affiliated Hospital of Chongqing Medical University , Chongqing, China .
Children's Hospital of Chongqing Medical University · CNChongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major depressive disorder (MDD) is a highly prevalent, debilitating mental illness of importance for global health. However, its molecular pathophysiology remains poorly understood. Combined proteomics and metabolomics approaches should provide a comprehensive understanding of MDD's etiology. The present study reports novel "-omics" insights from a rodent model of MDD. Cerebellar samples from chronic mild stressed (CMS)-treated depressed rats and controls were compared with a focus on the differentially expressed proteins and metabolites using isobaric tags for relative and absolute quantitation (iTRAQ)-based proteomics and gas chromotography/mass spectrometry (GC-MS) metabolomics techniques, respectively. The combined analyses found significant alterations associated with cerebellar energy metabolism, as indicated by (1) abnormal amino acid metabolism accompanied by corresponding metabolic enzymatic alterations and disturbed protein turnover, (2) increased glycolytic and tricarboxylic acid (TCA) cycle enzyme levels paralleled by changes in the concentrations of associated metabolites, and (3) perturbation of ATP biosynthesis through adenosine accompanied by perturbation of the mitochondrial respiratory chain. To the best of our knowledge, this study is the first to integrate proteomics and metabolomics analyses to examine the pathophysiological mechanism(s) underlying MDD in a CMS rodent model of depression. These results can offer important insights into the pathogenesis of MDD.

Indexed as

Energy MetabolismMetabolomicsProteomicsAmino AcidsAnimalsCarbohydrate MetabolismCerebellumCitric Acid CycleDisease Models, AnimalGas Chromatography-Mass SpectrometryGlycolysisMajor Depressive DisorderMaleModels, BiologicalRatsRats, Sprague-DawleyAmino Acids

Identifiers

PMID26134254
PMCPMC4505772
OpenAlexW2117232426

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.