Transcriptional signatures of heroin intake and relapse throughout the brain reward circuitry in male mice.
Caleb J BrowneRita FutamuraAngélica Minier-ToribioEmily M HicksAarthi RamakrishnanFreddyson J Martínez-RiveraMolly EstillArthur GodinoEric M PariseAngelica Torres-BerrioAshley M CunninghamPeter J HamiltonDeena M WalkerLaura M HuckinsYasmin L HurdLi ShenEric J NestlerPublished in: Science advances (2023)
Opioid use disorder (OUD) looms as one of the most severe medical crises facing society. More effective therapeutics will require a deeper understanding of molecular changes supporting drug-taking and relapse. Here, we develop a brain reward circuit-wide atlas of opioid-induced transcriptional regulation by combining RNA sequencing (RNA-seq) and heroin self-administration in male mice modeling multiple OUD-relevant conditions: acute heroin exposure, chronic heroin intake, context-induced drug-seeking following abstinence, and relapse. Bioinformatics analysis of this rich dataset identified numerous patterns of transcriptional regulation, with both region-specific and pan-circuit biological domains affected by heroin. Integration of RNA-seq data with OUD-relevant behavioral outcomes uncovered region-specific molecular changes and biological processes that predispose to OUD vulnerability. Comparisons with human OUD RNA-seq and genome-wide association study data revealed convergent molecular abnormalities and gene candidates with high therapeutic potential. These studies outline molecular reprogramming underlying OUD and provide a foundational resource for future investigations into mechanisms and treatment strategies.
Keyphrases
- rna seq
- single cell
- drug induced
- genome wide association study
- diabetic rats
- high glucose
- endothelial cells
- resting state
- healthcare
- mental health
- single molecule
- chronic pain
- liver failure
- genome wide
- big data
- emergency department
- free survival
- oxidative stress
- type diabetes
- white matter
- heat shock
- hepatitis b virus
- multiple sclerosis
- copy number
- functional connectivity
- body mass index
- skeletal muscle
- artificial intelligence
- small molecule
- adipose tissue
- machine learning
- deep learning
- mechanical ventilation
- induced pluripotent stem cells