RATIONALE: The molecular mechanisms underlying susceptibility to psychostimulant addiction remain unclear. Searching for commonalities in the effects of addictive drugs on brain gene expression is a prolific approach to determine transcriptional signatures influencing drug abuse. OBJECTIVE: We explored the common transcriptional responses to the reinforcing effects of psychostimulants methamphetamine, amphetamine, and methylphenidate. We also aimed to identify transcriptional changes that may subserve abuse of these drugs. METHODS: Genome-wide transcriptome profiling analyses were performed to identify common prefrontal cortical (PFC) and striatal gene expression profiles in drug-naïve (cohort 1) and stimulant-pretreated (cohort 2) rats, which showed a conditioned place preference to and self-administration of methamphetamine, amphetamine, and methylphenidate. RESULTS: In behavioral studies, stimulant-pretreated rats showed behavioral sensitization characterized by enhanced behavioral response to the rewarding or reinforcing effects of psychostimulants. Inflammation-associated genes (e.g., Alas1, S100a8 and S100a9) were identified as the primary differentially expressed genes (DEGs) in both the PFC and the striatum of cohort 1 rats, while neuronal plasticity (Sgk1)- and brain development (e.g., Bhlhe22, Neurod1, Nr4a2, and Msx1)-associated genes comprised the major upregulated DEGs in the striatum of cohort 2 rats. Furthermore, a meta-analysis of the common striatal DEGs in this study along with morphine-regulated striatal transcriptomes in mice (National Center for Biotechnology Information-Gene Expression Omnibus Database Accession Code GSE7762) suggested similar expression profiles of genes involved in neuronal development (e.g., Bhlhe22, Nr4a2). CONCLUSION: This study provides evidence that brain development-associated genes mediate the reinforcing effects of methamphetamine, amphetamine, and methylphenidate and that these transcripts may underlie susceptibility to psychostimulant addiction.
RATIONALE: The molecular mechanisms underlying susceptibility to psychostimulant addiction remain unclear. Searching for commonalities in the effects of addictive drugs on brain gene expression is a prolific approach to determine transcriptional signatures influencing drug abuse. OBJECTIVE: We explored the common transcriptional responses to the reinforcing effects of psychostimulants methamphetamine, amphetamine, and methylphenidate. We also aimed to identify transcriptional changes that may subserve abuse of these drugs. METHODS: Genome-wide transcriptome profiling analyses were performed to identify common prefrontal cortical (PFC) and striatal gene expression profiles in drug-naïve (cohort 1) and stimulant-pretreated (cohort 2) rats, which showed a conditioned place preference to and self-administration of methamphetamine, amphetamine, and methylphenidate. RESULTS: In behavioral studies, stimulant-pretreated rats showed behavioral sensitization characterized by enhanced behavioral response to the rewarding or reinforcing effects of psychostimulants. Inflammation-associated genes (e.g., Alas1, S100a8 and S100a9) were identified as the primary differentially expressed genes (DEGs) in both the PFC and the striatum of cohort 1 rats, while neuronal plasticity (Sgk1)- and brain development (e.g., Bhlhe22, Neurod1, Nr4a2, and Msx1)-associated genes comprised the major upregulated DEGs in the striatum of cohort 2 rats. Furthermore, a meta-analysis of the common striatal DEGs in this study along with morphine-regulated striatal transcriptomes in mice (National Center for Biotechnology Information-Gene Expression Omnibus Database Accession Code GSE7762) suggested similar expression profiles of genes involved in neuronal development (e.g., Bhlhe22, Nr4a2). CONCLUSION: This study provides evidence that brain development-associated genes mediate the reinforcing effects of methamphetamine, amphetamine, and methylphenidate and that these transcripts may underlie susceptibility to psychostimulant addiction.
Authors: Martin Werme; Elisabet Hermanson; Andrea Carmine; Silvia Buervenich; Rolf H Zetterström; Peter Thorén; Sven Ove Ogren; Lars Olson; Thomas Perlmann; Stefan Brené Journal: Eur J Neurosci Date: 2003-06 Impact factor: 3.386
Authors: Neema Yazdani; Clarissa C Parker; Ying Shen; Eric R Reed; Michael A Guido; Loren A Kole; Stacey L Kirkpatrick; Jackie E Lim; Greta Sokoloff; Riyan Cheng; W Evan Johnson; Abraham A Palmer; Camron D Bryant Journal: PLoS Genet Date: 2015-12-10 Impact factor: 5.917