Evidence map›Paper›PMID 42146535›Full record

ArticlebioRxiv : the preprint server for biology2026

The Converging Effects of Different Categories of Antidepressants on the Brain: A Systematic Meta-Analysis of Public Transcriptional Profiling Data from the Hippocampus and Cortex.

Eva M Geoghegan, Megan H Hagenauer, Erin Hernandez, Sophia Espinoza, Elizabeth Flandreau, Phi T Nguyen, Adrienne N Santiago, Mubashshir Ra'eed Bhuiyan, Sophie Mensch, Stanley Watson and 2 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Eva M GeogheganColumbia University, New York, NY, USA.ORCID 0009-0008-3799-6944
Megan H HagenauerUniversity of Michigan, Ann Arbor, MI, USA.ORCID 0000-0002-3715-9475
Erin HernandezUniversity of Chicago, Chicago, IL, USA.ORCID 0009-0004-4468-7921
Sophia EspinozaMichigan State University, East Lansing, MI, USA.ORCID 0009-0002-8517-6496
Elizabeth FlandreauGrand Valley State University, Allendale, MI, USA.ORCID 0000-0003-3634-1694
Phi T NguyenColumbia University, New York, NY, USA.ORCID 0000-0001-5598-9213
Adrienne N SantiagoColumbia University, New York, NY, USA.ORCID 0000-0002-5022-1675
Mubashshir Ra'eed BhuiyanUniversity of Michigan, Ann Arbor, MI, USA.ORCID 0009-0004-8432-472X
Sophie MenschUniversity of Michigan, Ann Arbor, MI, USA.
Stanley WatsonUniversity of Michigan, Ann Arbor, MI, USA.ORCID 0000-0003-4980-5523
Huda AkilUniversity of Michigan, Ann Arbor, MI, USA.ORCID 0000-0003-0623-1056
René HenColumbia University, New York, NY, USA.

Funding

Investigating the role of Bmp4 in glial subtype specification and temperamentU01DA043098 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HUDA AKIL, Jun Li · 2017 to 2026
$6.9M
NIDA NIH HHS U01 DA043098
6 · The paper itself

Abstract

Depression can be treated with traditional pharmaceuticals targeting monoaminergic function, non-traditional drug classes and neuromodulatory interventions. To identify mechanisms of action shared across clinically-effective antidepressant treatment categories, we performed two systematic meta-analyses of public transcriptional profiling data from adult laboratory rodents (rats, mice). The outcome variable was gene expression, measured by microarray or RNA-Seq from bulk-dissected tissue from two depression-related brain regions (hippocampus, cortex). Relevant datasets were identified in the Gemma database of curated, reprocessed transcriptional profiling data using predefined search terms and inclusion/exclusion criteria (

Indexed as

AntidepressantHippocampusMeta-analysisRNA-Seq

Identifiers

PMID42146535
PMCPMC13174380

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.