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Post-mortem molecular profiling of three psychiatric disorders
- Source :
- Genome Medicine, Vol 9, Iss 1, Pp 1-12 (2017), Genome Medicine
- Publication Year :
- 2016
- Publisher :
- Cold Spring Harbor Laboratory, 2016.
-
Abstract
- Background Psychiatric disorders are multigenic diseases with complex etiology that contribute significantly to human morbidity and mortality. Although clinically distinct, several disorders share many symptoms, suggesting common underlying molecular changes exist that may implicate important regulators of pathogenesis and provide new therapeutic targets. Methods We performed RNA sequencing on tissue from the anterior cingulate cortex, dorsolateral prefrontal cortex, and nucleus accumbens from three groups of 24 patients each diagnosed with schizophrenia, bipolar disorder, or major depressive disorder, and from 24 control subjects. We identified differentially expressed genes and validated the results in an independent cohort. Anterior cingulate cortex samples were also subjected to metabolomic analysis. ChIP-seq data were used to characterize binding of the transcription factor EGR1. Results We compared molecular signatures across the three brain regions and disorders in the transcriptomes of post-mortem human brain samples. The most significant disease-related differences were in the anterior cingulate cortex of schizophrenia samples compared to controls. Transcriptional changes were assessed in an independent cohort, revealing the transcription factor EGR1 as significantly down-regulated in both cohorts and as a potential regulator of broader transcription changes observed in schizophrenia patients. Additionally, broad down-regulation of genes specific to neurons and concordant up-regulation of genes specific to astrocytes was observed in schizophrenia and bipolar disorder patients relative to controls. Metabolomic profiling identified disruption of GABA levels in schizophrenia patients. Conclusions We provide a comprehensive post-mortem transcriptome profile of three psychiatric disorders across three brain regions. We highlight a high-confidence set of independently validated genes differentially expressed between schizophrenia and control patients in the anterior cingulate cortex and integrate transcriptional changes with untargeted metabolite profiling. Electronic supplementary material The online version of this article (doi:10.1186/s13073-017-0458-5) contains supplementary material, which is available to authorized users.
- Subjects :
- 0301 basic medicine
Male
lcsh:Medicine
Genome-wide association study
Disease
Transcriptome
0302 clinical medicine
Genetics (clinical)
0303 health sciences
Brain
RNA sequencing
Human brain
3. Good health
Human morbidity
medicine.anatomical_structure
Molecular Medicine
EGR1
Major depressive disorder
Female
Autopsy
Chromatin Immunoprecipitation
medicine.medical_specialty
lcsh:QH426-470
Bipolar disorder
Biology
03 medical and health sciences
Genetics
medicine
Humans
Metabolomics
Psychiatry
Molecular Biology
Anterior cingulate cortex
Early Growth Response Protein 1
030304 developmental biology
Depressive Disorder, Major
business.industry
Sequence Analysis, RNA
Research
lcsh:R
medicine.disease
Human genetics
Dorsolateral prefrontal cortex
lcsh:Genetics
030104 developmental biology
Schizophrenia
business
030217 neurology & neurosurgery
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Genome Medicine, Vol 9, Iss 1, Pp 1-12 (2017), Genome Medicine
- Accession number :
- edsair.doi.dedup.....e248e92bd761fc865b0fdbe464ab85b2