Evidence map›Paper›PMID 29283992›Full record

ArticlePLoS biology2017

Common genes associated with antidepressant response in mouse and man identify key role of glucocorticoid receptor sensitivity.

Tania Carrillo-Roa, Christiana Labermaier, Peter Weber, David P Herzog, Caleb Lareau, Sara Santarelli, Klaus V Wagner, Monika Rex-Haffner, Daniela Harbich, Sebastian H Scharf and 10 more

Open access · goldAbstract read
In one paragraph

Article in PLoS biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
1.5field-weighted citation impact, top 19% 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. Pooled it
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  4. Article
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  6. Pharmaco-Multiomics: A New Frontier in Precision Psychiatry.International journal of molecular sciences · 2025
    Review
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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

20 authors at 5 institutions in 2 countries.

Tania Carrillo-RoaDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany.
Christiana LabermaierMax Planck Institute of Psychiatry, Munich, Germany.
Peter WeberDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany.
David P HerzogDepartment of Psychiatry and Psychotherapy & German Resilience Center (DRZ), Johannes Gutenberg University Medical Center, Mainz, Germany.
Caleb LareauDepartment of Biostatistics, Harvard University, Boston, Massachusetts, United States of America.
Sara SantarelliDepartment of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany.
Klaus V WagnerDepartment of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany.
Monika Rex-HaffnerDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany.
Daniela HarbichDepartment of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany.
Sebastian H ScharfMax Planck Institute of Psychiatry, Munich, Germany.
Charles B NemeroffDepartment of Psychiatry and Behavioral Sciences, Leonard M. Miller School of Medicine, University of Miami, Miami, Florida, United States of America.
Boadie W DunlopDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia, United States of America.
W Edward CraigheadDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia, United States of America.
Helen S MaybergDepartment of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, Georgia, United States of America.
Mathias V SchmidtDepartment of Stress Neurobiology and Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany.
Manfred UhrDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany.
Florian HolsboerMax Planck Institute of Psychiatry, Munich, Germany.
Inge SillaberPhenoquest AG, Martinsried/Munich, Germany.
Elisabeth B BinderDepartment of Translational Research in Psychiatry, Max Planck Institute of Psychiatry, Munich, Germany.
Marianne B MüllerMax Planck Institute of Psychiatry, Munich, Germany.ORCID 0000-0002-0269-6131
Max Planck Institute of Psychiatry · DEEmory University · USJohannes Gutenberg University Mainz · DEHarvard University · USUniversity of Miami · US

Funding

Special Scientific Procedures: Statistical Modeling CoreP50MH077083 · NIMH · EMORY UNIVERSITY · PI KUTNER, MICHAEL HENRY · 2006 to 2010
$9.3M
Predictors of Treatment Response Relapse and Recurrence in Major DepressionR01MH080880 · NIMH · EMORY UNIVERSITY · PI CRAIGHEAD, W. EDWARD · 2008 to 2012
$6.6M
Testing an Imaging Biomarker for Treatment Stratification in Major DepressionR01MH073719 · NIMH · EMORY UNIVERSITY · PI DUNLOP, BOADIE W · 2006 to 2018
$5.8M
NIMH NIH HHS P50 MH077083NIMH NIH HHS R01 MH073719NIMH NIH HHS R01 MH080880
6 · The paper itself

Abstract

Response to antidepressant treatment in major depressive disorder (MDD) cannot be predicted currently, leading to uncertainty in medication selection, increasing costs, and prolonged suffering for many patients. Despite tremendous efforts in identifying response-associated genes in large genome-wide association studies, the results have been fairly modest, underlining the need to establish conceptually novel strategies. For the identification of transcriptome signatures that can distinguish between treatment responders and nonresponders, we herein submit a novel animal experimental approach focusing on extreme phenotypes. We utilized the large variance in response to antidepressant treatment occurring in DBA/2J mice, enabling sample stratification into subpopulations of good and poor treatment responders to delineate response-associated signature transcript profiles in peripheral blood samples. As a proof of concept, we translated our murine data to the transcriptome data of a clinically relevant human cohort. A cluster of 259 differentially regulated genes was identified when peripheral transcriptome profiles of good and poor treatment responders were compared in the murine model. Differences in expression profiles from baseline to week 12 of the human orthologues selected on the basis of the murine transcript signature allowed prediction of response status with an accuracy of 76% in the patient population. Finally, we show that glucocorticoid receptor (GR)-regulated genes are significantly enriched in this cluster of antidepressant-response genes. Our findings point to the involvement of GR sensitivity as a potential key mechanism shaping response to antidepressant treatment and support the hypothesis that antidepressants could stimulate resilience-promoting molecular mechanisms. Our data highlight the suitability of an appropriate animal experimental approach for the discovery of treatment response-associated pathways across species.

Indexed as

AnimalsAntidepressive AgentsBiomarkers, PharmacologicalBrainCorticosteroneGene Expression ProfilingGene Expression RegulationHumansMajor Depressive DisorderMiceMice, Inbred DBAMultigene FamilyParoxetineReceptors, GlucocorticoidAntidepressive AgentsBiomarkers, PharmacologicalCorticosteroneParoxetineReceptors, Glucocorticoid

Identifiers

PMID29283992
PMCPMC5746203
OpenAlexW2777551120

What OpenQuestion holds

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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.