Evidence map›Paper›PMID 28936160›Full record

ReviewFrontiers in neuroscience2017

The Energy Metabolism Dysfunction in Psychiatric Disorders Postmortem Brains: Focus on Proteomic Evidence.

Giuliana S Zuccoli, Verônica M Saia-Cereda, Juliana M Nascimento, Daniel Martins-de-Souza

Open access · goldAbstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 6 pooled it
4.4field-weighted citation impact, top 4% 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

78 citing papers in PubMed, 6 syntheses or guidelines pooled it, 159 citations in OpenAlex.

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18 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

4 authors at 2 institutions in 1 country.

Giuliana S ZuccoliLaboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of CampinasCampinas, Brazil.
Verônica M Saia-CeredaLaboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of CampinasCampinas, Brazil.
Juliana M NascimentoLaboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of CampinasCampinas, Brazil.
Daniel Martins-de-SouzaLaboratory of Neuroproteomics, Department of Biochemistry and Tissue Biology, Institute of Biology, University of CampinasCampinas, Brazil.
National Council for Scientific and Technological Development · BRUniversidade Estadual de Campinas (UNICAMP) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Psychiatric disorders represent a great medical and social challenge and people suffering from these conditions face many impairments regarding personal and professional life. In addition, a mental disorder will manifest itself in approximately one quarter of the world's population at some period of their life. Dysfunction in energy metabolism is one of the most consistent scientific findings associated with these disorders. With this is mind, this review compiled data on disturbances in energy metabolism found by proteomic analyses of postmortem brains collected from patients affected by the most prevalent psychiatric disorders: schizophrenia (SCZ), bipolar disorder (BPD), and major depressive disorder (MDD). We searched in the PubMed database to gather the studies and compiled all the differentially expressed proteins reported in each work. SCZ studies revealed 92 differentially expressed proteins related to energy metabolism, while 95 proteins were discovered in BPD, and 41 proteins in MDD. With the compiled data, it was possible to determine which proteins related to energy metabolism were found to be altered in all the disorders as well as which ones were altered exclusively in one of them. In conclusion, the information gathered in this work could contribute to a better understanding of the impaired metabolic mechanisms and hopefully bring insights into the underlying neuropathology of psychiatric disorders.

Indexed as

bipolar disorderdepressionmass spectrometryproteomeschizophrenia

Identifiers

PMID28936160
PMCPMC5594406
OpenAlexW2751490737

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.