Evidence map›Paper›PMID 41174894›Full record

ArticleThe American journal of psychiatry2025

Transcriptomic Analysis of the Human Habenula in Schizophrenia.

Ege A Yalcinbas, Bukola Ajanaku, Erik D Nelson, Renee Garcia-Flores, Nicholas J Eagles, Kelsey D Montgomery, Joshua M Stolz, Joshua Wu, Heena R Divecha, Atharv Chandra and 12 more

Abstract read
In one paragraph

Article in The American journal of psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors.

Ege A YalcinbasLieber Institute for Brain Development (LIBD), Johns Hopkins Medical Campus, Baltimore.
Bukola AjanakuLieber Institute for Brain Development (LIBD), Johns Hopkins Medical Campus, Baltimore.
Erik D NelsonLieber Institute for Brain Development (LIBD), Johns Hopkins Medical Campus, Baltimore.
Renee Garcia-FloresLieber Institute for Brain Development (LIBD), Johns Hopkins Medical Campus, Baltimore.
Nicholas J EaglesLieber Institute for Brain Development (LIBD), Johns Hopkins Medical Campus, Baltimore.
Kelsey D MontgomeryLieber Institute for Brain Development (LIBD), Johns Hopkins Medical Campus, Baltimore.
Joshua M StolzLieber Institute for Brain Development (LIBD), Johns Hopkins Medical Campus, Baltimore.
Joshua WuLieber Institute for Brain Development (LIBD), Johns Hopkins Medical Campus, Baltimore.
Heena R DivechaLieber Institute for Brain Development (LIBD), Johns Hopkins Medical Campus, Baltimore.
Atharv ChandraLieber Institute for Brain Development (LIBD), Johns Hopkins Medical Campus, Baltimore.
Rahul A BharadwajLieber Institute for Brain Development (LIBD), Johns Hopkins Medical Campus, Baltimore.
Svitlana V BachLieber Institute for Brain Development (LIBD), Johns Hopkins Medical Campus, Baltimore.
Anandita RajpurohitLieber Institute for Brain Development (LIBD), Johns Hopkins Medical Campus, Baltimore.
Ran TaoLieber Institute for Brain Development (LIBD), Johns Hopkins Medical Campus, Baltimore.
Geo PerteaLieber Institute for Brain Development (LIBD), Johns Hopkins Medical Campus, Baltimore.
Joo-Heon ShinLieber Institute for Brain Development (LIBD), Johns Hopkins Medical Campus, Baltimore.
Joel E KleinmanLieber Institute for Brain Development (LIBD), Johns Hopkins Medical Campus, Baltimore.
Thomas M HydeLieber Institute for Brain Development (LIBD), Johns Hopkins Medical Campus, Baltimore.
Daniel R WeinbergerLieber Institute for Brain Development (LIBD), Johns Hopkins Medical Campus, Baltimore.
Louise A Huuki-MyersLieber Institute for Brain Development (LIBD), Johns Hopkins Medical Campus, Baltimore.
Leonardo Collado-TorresLieber Institute for Brain Development (LIBD), Johns Hopkins Medical Campus, Baltimore.
Kristen R MaynardLieber Institute for Brain Development (LIBD), Johns Hopkins Medical Campus, Baltimore.

Funding

INTERDISCIPLINARY TRAINING PROGRAM IN NEUROSCIENCEST32MH015330 · NIMH · JOHNS HOPKINS UNIVERSITY · PI MARGOLIS, RUSSELL L · 1985 to 2024
$6.2M
Regulation of Gene Expression in the Human Habenula in Comorbid Opioid Addiction and DepressionR01DA055823 · NIDA · LIEBER INSTITUTE, INC. · PI Kristen Rose Maynard · 2022 to 2026
$3.3M
NIDA NIH HHS R01 DA055823NIMH NIH HHS T32 MH015330
6 · The paper itself

Abstract

objectiveThe objective of this study was to define the molecular neuroanatomy of the human habenula (Hb) and identify transcriptomic differences between brains of individuals with schizophrenia and nonpsychiatric control brains.

methodsThis study utilized Hb-enriched postmortem human brain tissue. Single-nucleus RNA sequencing (snRNA-seq) was conducted to identify molecularly defined Hb cell types (N=7 donors), and single-molecule fluorescent in situ hybridization (smFISH) was performed to validate cell types and map their spatial locations (N=5 independent donors). Bulk RNA sequencing (RNA-seq) (schizophrenia, N=35; nonpsychiatric control, N=33) and cell type deconvolution were used to identify differentially expressed genes (DEGs), which were then compared to dorsolateral prefrontal cortex, hippocampus, and caudate schizophrenia DEGs. Expression quantitative trait loci (eQTLs) and schizophrenia risk colocalization analyses were performed.

resultssnRNA-seq identified 17 cell type clusters across 16,437 nuclei, including three medial and seven lateral Hb populations, several of which were conserved in rodents. smFISH validated snRNA-seq Hb cell types and depicted their spatial organization. Bulk RNA-seq analyses yielded 173 schizophrenia-associated DEGs (false discovery rate<0.1), of which 129 (75%) were unique to Hb-enriched tissue. eQTL analysis identified 717 independent single-nucleotide polymorphism (SNP)-gene pairs (false discovery rate<0.05). Of these, 16 pairs included a SNP that is a schizophrenia risk variant, and seven different pairs included a schizophrenia DEG. eQTL and schizophrenia risk colocalization analysis identified 16 colocalized genes, nine of which have not been previously identified.

conclusionsThese results identify topographically organized cell types with distinct molecular signatures in the human habenula and demonstrate unique genetic differences associated with schizophrenia, thereby providing novel molecular insights into the role of the habenula in neuropsychiatric disorders.

Indexed as

HabenulaSchizophreniaTranscriptomeAdultFemaleGene Expression ProfilingHippocampusHumansIn Situ Hybridization, FluorescenceMaleMiddle AgedQuantitative Trait LociSequence Analysis, RNAGenetics/GenomicsHabenulaMolecular BiologyNeuroscienceSchizoaffective DisorderSchizophrenia Spectrum and Other Psychotic Disorders

Identifiers

PMID41174894
PMCPMC13008474

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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 OpenQuestion graph.