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Meta-Analysis of Transcriptomic Data of Dorsolateral Prefrontal Cortex and of Peripheral Blood Mononuclear Cells Identifies Altered Pathways in Schizophrenia.
- Source :
-
Genes [Genes (Basel)] 2020 Apr 03; Vol. 11 (4). Date of Electronic Publication: 2020 Apr 03. - Publication Year :
- 2020
-
Abstract
- Schizophrenia (SCZ) is a psychiatric disorder characterized by both positive and negative symptoms, including cognitive dysfunction, decline in motivation, delusion and hallucinations. Antipsychotic agents are currently the standard of care treatment for SCZ. However, only about one-third of SCZ patients respond to antipsychotic medications. In the current study, we have performed a meta-analysis of publicly available whole-genome expression datasets on Brodmann area 46 of the brain dorsolateral prefrontal cortex in order to prioritize potential pathways underlying SCZ pathology. Moreover, we have evaluated whether the differentially expressed genes in SCZ belong to specific subsets of cell types. Finally, a cross-tissue comparison at both the gene and functional level was performed by analyzing the transcriptomic pattern of peripheral blood mononuclear cells of SCZ patients. Our study identified a robust disease-specific set of dysfunctional biological pathways characterizing SCZ patients that could in the future be exploited as potential therapeutic targets.
- Subjects :
- Antipsychotic Agents therapeutic use
Brain pathology
Brain Mapping
Cognitive Dysfunction drug therapy
Cognitive Dysfunction genetics
Cognitive Dysfunction pathology
Female
Gene Expression Profiling methods
Gene Expression Regulation drug effects
Genome, Human drug effects
Humans
Leukocytes, Mononuclear metabolism
Male
Prefrontal Cortex pathology
Schizophrenia drug therapy
Schizophrenia pathology
Signal Transduction drug effects
Brain metabolism
Prefrontal Cortex metabolism
Schizophrenia genetics
Transcriptome genetics
Subjects
Details
- Language :
- English
- ISSN :
- 2073-4425
- Volume :
- 11
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Genes
- Publication Type :
- Academic Journal
- Accession number :
- 32260267
- Full Text :
- https://doi.org/10.3390/genes11040390