Evidence map›Paper›PMID 39990369›Full record

ArticlebioRxiv : the preprint server for biology2025

A neuro-immune axis of transcriptomic dysregulation within the subgenual anterior cingulate cortex in schizophrenia.

Rachel L Smith, Agoston Mihalik, Nirmala Akula, Pavan K Auluck, Stefano Marenco, Armin Raznahan, Petra E Vértes, Francis J McMahon

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

8 authors.

Rachel L SmithDepartment of Psychiatry, University of Cambridge, Cambridge, UK.ORCID 0009-0001-5318-219X
Agoston MihalikDepartment of Psychiatry, University of Cambridge, Cambridge, UK.
Nirmala AkulaHuman Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA.
Pavan K AuluckHuman Brain Collection Core, National Institute of Mental Health, Bethesda, MD, USA.
Stefano MarencoHuman Brain Collection Core, National Institute of Mental Health, Bethesda, MD, USA.
Armin RaznahanHuman Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA.
Petra E VértesDepartment of Psychiatry, University of Cambridge, Cambridge, UK.
Francis J McMahonHuman Genetics Branch, National Institute of Mental Health, Bethesda, MD, USA.

Funding

Procurement and Characterization of Postmortem Brain TissueZICMH002903 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI MARENCO, STEFANO · 2009 to 2025
$56.0M
Mapping genes that contribute to bipolar disorderZIAMH002810 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI MCMAHON, FRANCIS J · 2009 to 2025
$31.2M
Section on Developmental NeurogenomicsZIAMH002949 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI RAZNAHAN, ARMIN · 2016 to 2025
$30.0M
Intramural NIH HHS ZIA MH002810Intramural NIH HHS ZIA MH002949Intramural NIH HHS ZIC MH002903
6 · The paper itself

Abstract

Many genes are linked to psychiatric disorders, but genome-wide association studies (GWAS) and differential gene expression (DGE) analyses in post-mortem brain tissue often implicate distinct gene sets. This disconnect impedes therapeutic development, which relies on integrating genetic and genomic insights. We address this issue using a novel multivariate technique that reduces DGE bias by leveraging gene co-expression networks and controlling for confounds such as drug exposure. Deep RNA sequencing was performed in bulk post-mortem sgACC from individuals with bipolar disorder (BD; N=35), major depression (MDD; N=51), schizophrenia (SCZ; N=44), and controls (N=55). Toxicology data dimensionality was reduced using multiple correspondence analysis; case-control gene expression was then analyzed using 1) traditional DGE and 2) group regularized canonical correlation analysis (GRCCA) - a multivariate regression method that accounts for feature interdependence. Gene set enrichment analyses compared results with established neuropsychiatric risk genes, gene ontology pathways, and cell type enrichments. GRCCA revealed a significant association with SCZ (

Identifiers

PMID39990369
PMCPMC11844519

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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 OpenQuestion graph.