Evidence map›Paper›PMID 39526318›Full record

ArticleSchizophrenia bulletin2026

Transcriptomic Analysis of the Amygdala in Subjects with Schizophrenia, Bipolar Disorder and Major Depressive Disorder Reveals Differentially Altered Metabolic Pathways.

Xiaolu Zhang, Jake Valeri, Mahmoud A Eladawi, Barbara Gisabella, Michael R Garrett, Eric J Vallender, Robert McCullumsmith, Harry Pantazopoulos, Sinead M O'Donovan

Erratum issuedAbstract read
In one paragraph

Article in Schizophrenia bulletin, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Xiaolu ZhangDepartment of Microbiology and Immunology, Louisiana State University Health Sciences Center, Shreveport, LA 70112, United States.
Jake ValeriDepartment of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS 39216, United States.
Mahmoud A EladawiDepartment of Neurosciences, University of Toledo, Toledo, OH 43614, United States.ORCID 0000-0003-1383-834X
Barbara GisabellaDepartment of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS 39216, United States.
Michael R GarrettDepartment of Cell and Molecular Biology, University of Mississippi Medical Center, Jackson, MS 39216, United States.
Eric J VallenderDepartment of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS 39216, United States.
Robert McCullumsmithDepartment of Neurosciences, University of Toledo, Toledo, OH 43614, United States.
Harry PantazopoulosDepartment of Psychiatry and Human Behavior, University of Mississippi Medical Center, Jackson, MS 39216, United States.
Sinead M O'DonovanDepartment of Biological Sciences, University of Limerick, Limerick V94T9PX, Ireland.ORCID 0000-0003-3172-4952

Funding

Training and Mentoring Core P20GM103476 · NIGMS · UNIVERSITY OF SOUTHERN MISSISSIPPI · PI MICHAEL R GARRETT · 2012 to 2026
$60.2M
Sex differences in operant cocaine memoriesP20GM144041 · NIGMS · UNIVERSITY OF MISSISSIPPI MED CTR · PI Ramona Moles · 2023 to 2026
$12.1M
Pilot Projects ProgramP30GM149404 · NIGMS · UNIVERSITY OF MISSISSIPPI MED CTR · PI John E Hall · 2023 to 2026
$6.3M
American Foundation for Suicide PreventionBaszucki Brain Research FoundationMolecular Center of Health and Disease P20GM103476Molecular Center of Health and Disease P20GM144041Molecular Center of Health and Disease YIG-1-139-20NIGMS NIH HHS P20 GM103476NIGMS NIH HHS P20 GM144041NIGMS NIH HHS P30 GM149404Obesity, Cardiorenal and Metabolic Diseases-COBRE P20GM144041Obesity, Cardiorenal and Metabolic Diseases-COBRE P30GM149404
6 · The paper itself

Abstract

background and hypothesisThe amygdala, crucial for mood, anxiety, fear, and reward regulation, shows neuroanatomical and molecular divergence in psychiatric disorders like schizophrenia, bipolar disorder and major depression. This region is also emerging as an important regulator of metabolic and immune pathways. The goal of this study is to address the paucity of molecular studies in the human amygdala. We hypothesize that diagnosis-specific gene expression alterations contribute to the unique pathophysiological profiles of these disorders. STUDY

designWe used a cohort of subjects diagnosed with SCZ, BPD or MDD, and nonpsychiatrically ill control subjects (n = 15/group), together with our bioinformatic 3-pod analysis consisting of full transcriptome pathway analysis, targeted pathway analysis, leading-edge gene analysis and iLINCS perturbagen analysis. STUDY

resultsWe identified altered expression of metabolic pathways in each disorder. Subjects with SCZ displayed downregulation of mitochondrial respiration and nucleotide metabolism pathways. In comparison, we observed upregulation of mitochondrial respiration pathways in subjects with MDD, while subjects with BPD displayed enrichment of pathways involved in carbohydrate metabolism. Several pathways associated with brain metabolism including immune system processes and calcium ion transport were also differentially altered between diagnosis groups.

conclusionOur findings suggest metabolic pathways, including downregulation of energy metabolism pathways in SCZ and upregulation of energy metabolism pathways in MDD, are uniquely altered in the amygdala in these disorders, which may impact approaches for therapeutic strategies.

Indexed as

AmygdalaBipolar DisorderMajor Depressive DisorderMetabolic Networks and PathwaysSchizophreniaTranscriptomeAdultFemaleGene Expression ProfilingHumansMaleMiddle Agedenergy metabolismpostmortem brain tissuepsychiatric disordertranscriptome

Identifiers

PMID39526318
PMCPMC12996887

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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.