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Transcriptional signatures of heroin intake and relapse throughout the brain reward circuitry in male mice. | LitMetric

AI Article Synopsis

  • Opioid use disorder (OUD) is a major medical crisis that requires a better understanding of the molecular changes linked to drug use and relapse to develop effective treatments.
  • Researchers created a comprehensive atlas of brain changes related to opioid use by performing RNA sequencing on male mice undergoing various OUD-related conditions, such as acute and chronic heroin use.
  • Their findings revealed specific molecular alterations and biological processes tied to OUD vulnerability, and comparisons with human data highlighted significant gene candidates that could lead to new therapeutic approaches.

Article Abstract

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256172PMC
http://dx.doi.org/10.1126/sciadv.adg8558DOI Listing

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