Evidence map›Paper›PMID 19997739›Full record

ArticleEuropean archives of psychiatry and clinical neuroscience2010

The role of proteomics in depression research.

Daniel Martins-de-Souza, Laura W Harris, Paul C Guest, Christoph W Turck, Sabine Bahn

Abstract read
In one paragraph

Article in European archives of psychiatry and clinical neuroscience, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–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

24 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. A Clinician's Perspective on Biomarkers.Focus (American Psychiatric Publishing) · 2018
    Review
  9. Article
  10. Omics-Based Biomarkers: Application of Metabolomics in Neuropsychiatric Disorders.The international journal of neuropsychopharmacology · 2015
    Review
  11. The potential of biomarkers in psychiatry: focus on proteomics.Journal of neural transmission (Vienna, Austria : 1996) · 2015
    Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
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

5 authors.

Daniel Martins-de-SouzaMax Planck Institute for Psychiatry, Kraepelinstr. 2, 80804, Munich, Germany.
Laura W Harris
Paul C Guest
Christoph W Turck
Sabine Bahn

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depression is a severe neuropsychiatric disorder affecting approximately 10% of the world population. Despite this, the molecular mechanisms underlying the disorder are still not understood. Novel technologies such as proteomic-based platforms are beginning to offer new insights into this devastating illness, beyond those provided by the standard targeted methodologies. Here, we will show the potential of proteome analyses as a tool to elucidate the pathophysiological mechanisms of depression as well as the discovery of potential diagnostic, therapeutic and disease course biomarkers.

Indexed as

Depressive DisorderAnimalsAntidepressive AgentsBiomarkersCitalopramDisease Models, AnimalDrug ResistanceHumansMiceNucleus AccumbensProteomeProteomicsSelective Serotonin Reuptake InhibitorsAntidepressive AgentsBiomarkersCitalopramProteomeSelective Serotonin Reuptake Inhibitors

Identifiers

PMID19997739
PMCPMC2940035

What OpenQuestion holds

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LicenceCC BY-NC
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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.