Evidence map›Paper›PMID 29548746›Full record

SynthesisBiological psychiatry2018

Opposite Molecular Signatures of Depression in Men and Women.

Marianne L Seney, Zhiguang Huo, Kelly Cahill, Leon French, Rachel Puralewski, Joyce Zhang, Ryan W Logan, George Tseng, David A Lewis, Etienne Sibille

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Biological psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 162 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
162citing papers in PubMed, 5 pooled it
14.2field-weighted citation impact, top 1% 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

162 citing papers in PubMed, 5 syntheses or guidelines pooled it, 277 citations in OpenAlex.

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  10. Adverse Childhood Experiences, Depression and Subjective Cognitive Decline by Gender: A Moderated Mediation Analysis.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2026
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102 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 2 countries.

Marianne L SeneyDepartment of Psychiatry, University of Pittsburgh Medical School, Pittsburgh, Pennsylvania; Translational Neuroscience Program, University of Pittsburgh Medical School, Pittsburgh, Pennsylvania. Electronic address: seneyml@upmc.edu.
Zhiguang HuoDepartment of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.
Kelly CahillDepartment of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.
Leon FrenchCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada.
Rachel PuralewskiDepartment of Psychiatry, University of Pittsburgh Medical School, Pittsburgh, Pennsylvania; Translational Neuroscience Program, University of Pittsburgh Medical School, Pittsburgh, Pennsylvania.
Joyce ZhangDepartment of Psychiatry, University of Pittsburgh Medical School, Pittsburgh, Pennsylvania; Translational Neuroscience Program, University of Pittsburgh Medical School, Pittsburgh, Pennsylvania.
Ryan W LoganDepartment of Psychiatry, University of Pittsburgh Medical School, Pittsburgh, Pennsylvania; Translational Neuroscience Program, University of Pittsburgh Medical School, Pittsburgh, Pennsylvania; Center for Systems Neurogenetics of Addiction, Jackson Laboratory, Bar Harbor, Maine.
George TsengDepartment of Computational and Systems Biology, University of Pittsburgh Medical School, Pittsburgh, Pennsylvania; Department of Biostatistics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania.
David A LewisDepartment of Psychiatry, University of Pittsburgh Medical School, Pittsburgh, Pennsylvania; Translational Neuroscience Program, University of Pittsburgh Medical School, Pittsburgh, Pennsylvania.
Etienne SibilleCampbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada; Neurobiology of Depression and Aging, Centre for Addiction and Mental Health, University of Toronto, Toronto, Ontario, Canada; Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada; Department of Pharmacology and Toxicology, University of Toronto, Toronto, Ontario, Canada. Electronic address: etienne.sibille@camh.ca.
University of Pittsburgh · USCentre for Addiction and Mental Health · CAJackson Laboratory · USUniversity of Toronto · CA

Funding

Molecular characterization of a corticolimbic network in depressionK02MH084060 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SIBILLE, ETIENNE L · 2009 to 2013
$589k
The Role of Genetic Sex in Affect RegulationK01MH103473 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SENEY, MARIANNE L · 2014 to 2016
$469k
Modeling Core Behavioral, Neuroendocrine and Molecular Features of DepressionR21MH085111 · NIMH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SIBILLE, ETIENNE L · 2009 to 2010
$417k
NIMH NIH HHS K01 MH103473NIMH NIH HHS K02 MH084060NIMH NIH HHS R21 MH085111
6 · The paper itself

Abstract

backgroundMajor depressive disorder (MDD) affects women approximately twice as often as men. Women are three times as likely to have atypical depression, with hypersomnia and weight gain. This suggests that the molecular mechanisms of MDD may differ by sex.

methodsTo test this hypothesis, we performed a large-scale gene expression meta-analysis across three corticolimbic brain regions: the dorsolateral prefrontal cortex, subgenual anterior cingulate cortex, and basolateral amygdala (26 men, 24 women with MDD and sex-matched control subjects). Results were further analyzed using a threshold-free approach, Gene Ontology, and cell type-specific analyses. A separate dataset was used for independent validation (13 MDD subjects/sex and 22 control subjects [13 men, 9 women]).

resultsOf the 706 genes differentially expressed in men with MDD and 882 genes differentially expressed in women with MDD, only 21 were changed in the same direction in both sexes. Notably, 52 genes displayed expression changes in opposite directions between men and women with MDD. Similar results were obtained using a threshold-free approach, in which the overall transcriptional profile of MDD was opposite in men and women. Gene Ontology indicated that men with MDD had decreases in synapse-related genes, whereas women with MDD exhibited transcriptional increases in this pathway. Cell type-specific analysis indicated that men with MDD exhibited increases in oligodendrocyte- and microglia-related genes, while women with MDD had decreases in markers of these cell types.

conclusionsThe brain transcriptional profile of MDD differs greatly by sex, with multiple transcriptional changes in opposite directions between men and women with MDD.

Indexed as

Sex CharacteristicsBrainCase-Control StudiesFemaleGene ExpressionGene OntologyHumansMajor Depressive DisorderMaleMicroarray AnalysisNeurogliaNeuronsStatistics, NonparametricTranscriptomeCorticolimbicDepressionGeneticsMeta-analysisMood disordersSex difference

Identifiers

PMID29548746
PMCPMC6014892
OpenAlexW2793970618

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.