Evidence map›Paper›PMID 39185191›Full record

ArticlebioRxiv : the preprint server for biology2024

Brain transcriptomic signatures for mood disorders and suicide phenotypes: an anterior insula and subgenual ACC network postmortem study.

Dhivya Arasappan, Abigail Spears, Simran Shah, Roy D Mayfield, Nirmala Akula, Francis J McMahon, Mbemba Jabbi

Abstract readPreprint
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In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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
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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

7 authors.

Dhivya ArasappanCenter for Biomedical Research Support, The University of Texas at Austin, Dell Medical School, Austin, Texas, USA.
Abigail SpearsDepartment of Psychiatry and Behavioral Sciences, The University of Texas at Austin, Dell Medical School, Austin, Texas, USA.
Simran ShahDepartment of Psychiatry and Behavioral Sciences, The University of Texas at Austin, Dell Medical School, Austin, Texas, USA.
Roy D MayfieldDepartment of Neuroscience and Waggoner Center for Addiction Research, The University of Texas at Austin.
Nirmala AkulaGenetic Basis of Mood & Anxiety Section, Intramural Research Program, NIMH, NIH, Bethesda, MD USA.
Francis J McMahonGenetic Basis of Mood & Anxiety Section, Intramural Research Program, NIMH, NIH, Bethesda, MD USA.
Mbemba JabbiDepartment of Psychiatry and Behavioral Sciences, The University of Texas at Austin, Dell Medical School, Austin, Texas, USA.

Funding

Identification of Genes Involved in Major Mood DisordersZIAMH002843 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI MCMAHON, FRANCIS J · 2009 to 2025
$24.5M
Brain network and cell-type elucidation of molecular dysregulations in bipolar disorder suicideR01MH134791 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI JABBI, MBEMBA, WALSS-BASS, CONSUELO · 2024 to 2024
$637k
Influenza Vaccine as Novel Experimental Model of the Behavioral Immune Response in DepressionR21MH115326 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI JABBI, MBEMBA · 2018 to 2019
$430k
Intramural NIH HHS ZIA MH002843NIMH NIH HHS R01 MH134791NIMH NIH HHS R21 MH115326
6 · The paper itself

Abstract

Mood disorders affect over ten percent of humans, but studies dissecting the brain anatomical and molecular neurobiological mechanisms underlying mood (dys)functions have not consistently identified the patterns of pathological changes in relevant brain regions. Recent studies have identified pathological changes in the anterior insula (Ant-Ins) and subgenual anterior cingulate (sgACC) brain network in mood disorders, in line with this network's role in regulating mood/affective feeling states. Here, we applied whole-tissue RNA-sequencing measures of differentially expressed genes (DEGs) in mood disorders versus (vs.) psychiatrically unaffected controls (controls) to identify postmortem molecular pathological markers for mood disorder phenotypes. Using data-driven factor analysis of the postmortem phenotypic variables to determine relevant sources of population variances, we identified DEGs associated with mood disorder-related diagnostic phenotypes by combining gene co-expression, differential gene expression, and pathway-enrichment analyses. We found downregulation/under expression of inflammatory, and protein synthesis-related genes associated with psychiatric morbidity (i.e., all co-occurring mental disorders and suicide outcomes/death by suicide) in Ant-Ins, in contrasts to upregulation of synaptic membrane and ion channel-related genes with increased

Identifiers

PMID39185191
PMCPMC11343154

What Socratic holds

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Registered trials

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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 Socratic graph.