Evidence map›Paper›PMID 28848385›Full record

ArticleFrontiers in molecular neuroscience2017

Translational Identification of Transcriptional Signatures of Major Depression and Antidepressant Response.

Mylène Hervé, Aurélie Bergon, Anne-Marie Le Guisquet, Samuel Leman, Julia-Lou Consoloni, Nicolas Fernandez-Nunez, Marie-Noëlle Lefebvre, Wissam El-Hage, Raoul Belzeaux, Catherine Belzung and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in molecular neuroscience, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 4 pooled it
0.8field-weighted citation impact, top 33% 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

28 citing papers in PubMed, 4 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
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  9. Pharmaco-Multiomics: A New Frontier in Precision Psychiatry.International journal of molecular sciences · 2025
    Review
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  13. eLife · 2023
    Article
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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

11 authors at 7 institutions in 2 countries.

Mylène HervéAix Marseille Univ, CNRS, CRN2M UMR 7286Marseille, France.
Aurélie BergonAix Marseille Univ, INSERM, TAGC UMR_S 1090Marseille, France.
Anne-Marie Le GuisquetINSERM U930 Eq 4, UFR Sciences et Techniques, Université François RabelaisTours, France.
Samuel LemanINSERM U930 Eq 4, UFR Sciences et Techniques, Université François RabelaisTours, France.
Julia-Lou ConsoloniAix Marseille Univ, CNRS, CRN2M UMR 7286Marseille, France.
Nicolas Fernandez-NunezTGML, Platform IbiSA, Aix Marseille Univ, INSERM U1090, TAGCMarseille, France.
Marie-Noëlle LefebvreCIC-CPCET, AP-HM, Hôpital La TimoneMarseille, France.
Wissam El-HageINSERM U930 Eq 4, UFR Sciences et Techniques, Université François RabelaisTours, France.
Raoul BelzeauxAix Marseille Univ, CNRS, CRN2M UMR 7286Marseille, France.
Catherine BelzungINSERM U930 Eq 4, UFR Sciences et Techniques, Université François RabelaisTours, France.
El Chérif IbrahimAix Marseille Univ, CNRS, CRN2M UMR 7286Marseille, France.
Inserm · FRCentre National de la Recherche Scientifique · FRAix-Marseille Université · FRCentre de Recherche en Neurobiologie - Neurophysiologie de Marseille · FRHôpital de la Timone · FRHôpital Sainte-Marguerite · FRUniversité de Tours · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major depressive disorder (MDD) is a highly prevalent mental illness whose therapy management remains uncertain, with more than 20% of patients who do not achieve response to antidepressants. Therefore, identification of reliable biomarkers to predict response to treatment will greatly improve MDD patient medical care. Due to the inaccessibility and lack of brain tissues from living MDD patients to study depression, researches using animal models have been useful in improving sensitivity and specificity of identifying biomarkers. In the current study, we used the unpredictable chronic mild stress (UCMS) model and correlated stress-induced depressive-like behavior (

Indexed as

antidepressantbiomarkerbloodchronic stressdepressionmRNAtranscriptomics

Identifiers

PMID28848385
PMCPMC5550836
OpenAlexW2767482553

What OpenQuestion 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 OpenQuestion graph.