Evidence map›Paper›PMID 23672886›Full record

ReviewThe international journal of neuropsychopharmacology2013

Biological substrates underpinning diagnosis of major depression.

Etienne Sibille, Beverly French

Open access · bronzeAbstract readReview
In one paragraph

Review in The international journal of neuropsychopharmacology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 18% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Molecular Characterization of the Progressive Landscape of Depression.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. A meta-analysis of lipid peroxidation markers in major depression.Neuropsychiatric disease and treatment · 2015
    Review
  18. Review
  19. Article
  20. Review
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

2 authors at 1 institution in 1 country.

Etienne SibilleDepartment of Psychiatry, University of Pittsburgh, PA 15219, USA. sibilleel@upmc.edu
Beverly French
University of Pittsburgh · US

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
Molecular characterization of a corticolimbic network in depressionK02MH084060 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SIBILLE, ETIENNE L · 2009 to 2013
$589k
Modeling Core Behavioral, Neuroendocrine and Molecular Features of DepressionR21MH085111 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SIBILLE, ETIENNE L · 2009 to 2010
$417k
NCATS NIH HHS UL1 TR000005NIMH NIH HHS K02 MH084060NIMH NIH HHS MH084060NIMH NIH HHS MH085111NIMH NIH HHS R21 MH085111
6 · The paper itself

Abstract

Major depression is characterized by low mood, a reduced ability to experience pleasure and frequent cognitive, physiological and high anxiety symptoms. It is also the leading cause of years lost due to disability worldwide in women and men, reflecting a lifelong trajectory of recurring episodes, increasing severity and progressive treatment resistance. Yet, antidepressant drugs at best treat only one out of every two patients and have not fundamentally changed since their discovery by chance >50 yr ago. This status quo may reflect an exaggerated emphasis on a categorical disease classification that was not intended for biological research and on oversimplified gene-to-disease models for complex illnesses. Indeed, genetic, molecular and cellular findings in major depression suggest shared risk and continuous pathological changes with other brain-related disorders. So, an alternative is that pathological findings in major depression reflect changes in vulnerable brain-related biological modules, each with their own aetiological factors, pathogenic mechanisms and biological/environment moderators. In this model, pathological entities have low specificity for major depression and instead co-occur, combine and interact within individual subjects across disorders, contributing to the expression of biological endophenotypes and potentially clinical symptom dimensions. Here, we discuss current limitations in depression research, review concepts of gene-to-disease biological scales and summarize human post-mortem brain findings related to pyramidal neurons, γ-amino butyric acid neurons, astrocytes and oligodendrocytes, as prototypical brain circuit biological modules. Finally we discuss nested aetiological factors and implications for dimensional pathology. Evidence suggests that a focus on local cell circuits may provide an appropriate integration point and a critical link between underlying molecular mechanisms and neural network dysfunction in major depression.

Indexed as

BrainFemaleHumansMajor Depressive DisorderMaleNerve Net

Identifiers

PMID23672886
PMCPMC4074859
OpenAlexW2159661913

What OpenQuestion holds

Textmetadata
LicenceTDM
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.