Evidence map›Paper›PMID 39068467›Full record

SynthesisBiology of sex differences2024

The impact of sex on gene expression in the brain of schizophrenic patients: a systematic review and meta-analysis of transcriptomic studies.

Hector Carceller, Marta R Hidalgo, María José Escartí, Juan Nacher, Maria de la Iglesia-Vayá, Francisco García-García

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Biology of sex differences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

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

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

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

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Hector CarcellerNeurobiology Unit, Program in Neurosciences and Institute of Biotechnology and Biomedicine (BIOTECMED), Universitat de València, Burjassot, Spain.
Marta R HidalgoJoint unit in Biomedical Imaging FISABIO-CIPF, Head of Computational Biomedicine Laboratory, Foundation for the Promotion of Health and Biomedical Research of Valencia Region, Eduardo Primo Yúfera Street, 3, 46012, València, Spain.
María José EscartíCentro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), ISC III, Avda. Blasco Ibáñez 15, Valencia, Spain.
Juan NacherNeurobiology Unit, Program in Neurosciences and Institute of Biotechnology and Biomedicine (BIOTECMED), Universitat de València, Burjassot, Spain.
Maria de la Iglesia-VayáSpanish National Network for Research in Mental Health, Centro de Investigación Biomédica en Red de Salud Mental (CIBERSAM), Madrid, Spain.
Francisco García-GarcíaJoint unit in Biomedical Imaging FISABIO-CIPF, Head of Computational Biomedicine Laboratory, Foundation for the Promotion of Health and Biomedical Research of Valencia Region, Eduardo Primo Yúfera Street, 3, 46012, València, Spain. fgarcia@cipf.es.ORCID 0000-0001-8354-5636

Funding

Instituto de Salud Carlos III IMP/00019Ministerio de Ciencia e Innovación MS21-074Ministerio de Ciencia e Innovación PID2021- 124430OA-I00
6 · The paper itself

Abstract

backgroundSchizophrenia is a severe neuropsychiatric disorder characterized by altered perception, mood, and behavior that profoundly impacts patients and society despite its relatively low prevalence. Sex-based differences have been described in schizophrenia epidemiology, symptomatology and outcomes. Different studies explored the impact of schizophrenia in the brain transcriptome, however we lack a consensus transcriptomic profile that considers sex and differentiates specific cerebral regions.

methodsWe performed a systematic review on bulk RNA-sequencing studies of post-mortem brain samples. Then, we fulfilled differential expression analysis on each study and summarized their results with regions-specific meta-analyses (prefrontal cortex and hippocampus) and a global all-studies meta-analysis. Finally, we used the consensus transcriptomic profiles to functionally characterize the impact of schizophrenia in males and females by protein-protein interaction networks, enriched biological processes and dysregulated transcription factors.

resultsWe discovered the sex-based dysregulation of 265 genes in the prefrontal cortex, 1.414 genes in the hippocampus and 66 genes in the all-studies meta-analyses. The functional characterization of these gene sets unveiled increased processes related to immune response functions in the prefrontal cortex in male and the hippocampus in female schizophrenia patients and the overexpression of genes related to neurotransmission and synapses in the prefrontal cortex of female schizophrenia patients. Considering a meta-analysis of all brain regions available, we encountered the relative overexpression of genes related to synaptic plasticity and transmission in females and the overexpression of genes involved in organizing genetic information and protein folding in male schizophrenia patients. The protein-protein interaction networks and transcription factors activity analyses supported these sex-based profiles.

conclusionsOur results report multiple sex-based transcriptomic alterations in specific brain regions of schizophrenia patients, which provides new insight into the role of sex in schizophrenia. Moreover, we unveil a partial overlapping of inflammatory processes in the prefrontal cortex of males and the hippocampus of females.

Indexed as

BrainSchizophreniaSex FactorsTranscriptomeFemaleHumansMalePrefrontal CortexHippocampusMeta-analysisPrefrontal cortexRNA-sequencingSchizophreniaSex-based differencesSystematic review

Identifiers

PMID39068467
PMCPMC11282642

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.