Evidence map›Paper›PMID 22832852›Full record

ArticleTranslational psychiatry2012

Identification of proteomic signatures associated with depression and psychotic depression in post-mortem brains from major depression patients.

D Martins-de-Souza, P C Guest, L W Harris, N Vanattou-Saifoudine, M J Webster, H Rahmoune, S Bahn

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 98 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
98citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 6% 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

98 citing papers in PubMed, 1 synthesis or guideline pooled it, 201 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Psychoneuroimmunology of Mood Disorders.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Effects of antipsychotic drugs on energy metabolism.European archives of psychiatry and clinical neuroscience · 2024
    Article
  19. International journal of molecular sciences · 2024
    Article
  20. Article

38 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

7 authors at 3 institutions in 4 countries.

D Martins-de-SouzaDepartment of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK. martins@mpipsykl.mpg.de
P C Guest
L W Harris
N Vanattou-Saifoudine
M J Webster
H Rahmoune
S Bahn
University of Cambridge · GBErasmus University Rotterdam · NLStanley Medical Research Institute · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major depressive disorder (MDD) is a leading cause of disability worldwide and results tragically in the loss of almost one million lives in Western societies every year. This is due to poor understanding of the disease pathophysiology and lack of empirical medical tests for accurate diagnosis or for guiding antidepressant treatment strategies. Here, we have used shotgun proteomics in the analysis of post-mortem dorsolateral prefrontal cortex brain tissue from 24 MDD patients and 12 matched controls. Brain proteomes were pre-fractionated by gel electrophoresis and further analyzed by shotgun data-independent label-free liquid chromatography-mass spectrometry. This led to identification of distinct proteome fingerprints between MDD and control subjects. Some of these differences were validated by Western blot or selected reaction monitoring mass spectrometry. This included proteins associated with energy metabolism and synaptic function and we also found changes in the histidine triad nucleotide-binding protein 1 (HINT1), which has been implicated recently in regulation of mood and behavior. We also found differential proteome profiles in MDD with (n=11) and without (n=12) psychosis. Interestingly, the psychosis fingerprint showed a marked overlap to changes seen in the brain proteome of schizophrenia patients. These findings suggest that it may be possible to contribute to the disease understanding by distinguishing different subtypes of MDD based on distinct brain proteomic profiles.

Indexed as

ProteomicsAdultAffective Disorders, PsychoticFemaleHumansMajor Depressive DisorderMaleMass SpectrometryMiddle AgedNerve Tissue ProteinsPeptide MappingPrefrontal CortexSchizophreniaTranscriptomeHINT1 protein, humanNerve Tissue Proteins

Identifiers

PMID22832852
PMCPMC3309534
OpenAlexW2077024758

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.