Multi-omics signatures of alcohol use disorder in the dorsal and ventral striatum.
Lea ZillichEric PoiselJoseph FrankJerome Clifford FooMarion M FriskeFabian StreitLea SirignanoStefanie Heilmann-HeimbachAndré HeimbachPer HoffmannFranziska DegenhardtAnita C HanssonGeorgy BakalkinMarkus Maria NöthenMarcella D C RietschelRainer SpanagelStephanie-H WittPublished in: Translational psychiatry (2022)
Alcohol Use Disorder (AUD) is a major contributor to global mortality and morbidity. Postmortem human brain tissue enables the investigation of molecular mechanisms of AUD in the neurocircuitry of addiction. We aimed to identify differentially expressed (DE) genes in the ventral and dorsal striatum between individuals with AUD and controls, and to integrate the results with findings from genome- and epigenome-wide association studies (GWAS/EWAS) to identify functionally relevant molecular mechanisms of AUD. DNA-methylation and gene expression (RNA-seq) data was generated from postmortem brain samples of 48 individuals with AUD and 51 controls from the ventral striatum (VS) and the dorsal striatal regions caudate nucleus (CN) and putamen (PUT). We identified DE genes using DESeq2, performed gene-set enrichment analysis (GSEA), and tested enrichment of DE genes in results of GWASs using MAGMA. Weighted correlation network analysis (WGCNA) was performed for DNA-methylation and gene expression data and gene overlap was tested. Differential gene expression was observed in the dorsal (FDR < 0.05), but not the ventral striatum of AUD cases. In the VS, DE genes at FDR < 0.25 were overrepresented in a recent GWAS of problematic alcohol use. The ARHGEF15 gene was upregulated in all three brain regions. GSEA in CN and VS pointed towards cell-structure associated GO-terms and in PUT towards immune pathways. The WGCNA modules most strongly associated with AUD showed strong enrichment for immune response and inflammation pathways. Our integrated analysis of multi-omics data sets provides further evidence for the importance of immune- and inflammation-related processes in AUD.
Keyphrases
- alcohol use disorder
- genome wide
- dna methylation
- spinal cord
- gene expression
- single cell
- prefrontal cortex
- network analysis
- rna seq
- copy number
- neuropathic pain
- genome wide identification
- immune response
- spinal cord injury
- electronic health record
- deep brain stimulation
- oxidative stress
- lymph node metastasis
- resting state
- genome wide analysis
- magnetic resonance imaging
- parkinson disease
- squamous cell carcinoma
- multiple sclerosis
- mesenchymal stem cells
- bone marrow
- computed tomography
- transcription factor
- coronary artery disease
- magnetic resonance
- cell therapy
- contrast enhanced
- genome wide association study
- subarachnoid hemorrhage
- data analysis
- machine learning