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1.
Mol Cell Neurosci ; 125: 103841, 2023 06.
Artigo em Inglês | MEDLINE | ID: mdl-36935046

RESUMO

Drug overdoses have increased dramatically in the United States over the last decade where they are now the leading cause of accidental death. To develop efficient therapeutic options for decreasing drug consumption and overdose risk, it is critical to understand the neurobiological changes induced by drug exposure. Chronic systemic exposure to all drug classes, including opioids, psychostimulants, nicotine, cannabis, and alcohol, induces profound molecular neuroadaptations within the central nervous system that may reveal crucial information about the lasting effects that these substances impart on brain cells. Transcriptome analyses of messenger RNAs (mRNAs) have identified gene patterns in the brain that result from exposure to various classes of drugs. However, mRNAs represent only a small fraction of the RNA within the cell, and drug exposure also impacts other classes of RNA that are largely understudied, especially circular RNAs. Circular RNAs (circRNAs) are a naturally occurring RNA species formed from back-splicing events during mRNA processing and are enriched in the nervous system. circRNAs are a pleiotropic class of RNAs and have a diverse impact on cellular function, with putative functions including regulation of mRNA transcription, protein translation, microRNA sponging, and sequestration of RNA-binding proteins. Recent studies have demonstrated that circRNAs can modulate cognition and are regulated in the brain in response to drug exposure, yet very few studies have explored the contribution of circRNAs to drug seeking phenotypes. In this review, we will provide an overview of the mechanisms of circRNA function in the cell to highlight how drug-induced circRNA dysregulation may impact the molecular substrates that mediate drug seeking behavior and the current studies that have reported drug-induced dysregulation of circRNAs in the brain. Furthermore, we will discuss how principles of circRNA biology can be adapted to study circRNAs in models of drug exposure and seek to provide further insight into the neurobiology of addiction.


Assuntos
MicroRNAs , RNA Circular , RNA Circular/genética , RNA Circular/metabolismo , Comportamento de Procura de Droga , RNA/metabolismo , MicroRNAs/genética , RNA Mensageiro/metabolismo , Fenótipo
2.
Eur J Neurosci ; 55(7): 1742-1755, 2022 04.
Artigo em Inglês | MEDLINE | ID: mdl-35320877

RESUMO

A powerful motivation to seek opioids remains after drug cessation and intensifies during extended periods of abstinence. Unfortunately, biomarkers associated with continued drug seeking have not been described. Moreover, previous studies have focused on the effects of early abstinence with little exploration into the long-term drug-induced mechanisms that occur after extended abstinence. Here we demonstrated that 30 days (D) of forced abstinence results in a time-dependent increase in morphine seeking in a rat model of morphine self-administration (SA). We measured expression of known drug-responsive microRNAs (miRNAs) in the nucleus accumbens, an area critical for reward-related plasticity, during early or late abstinence in animals that underwent either a cue-induced relapse test or no relapse test. miRNAs are small noncoding RNAs that represent suitable biomarker candidates due to their long-lasting nature. mir-32-5p levels during early abstinence negatively correlated with active lever pressing in both cue-exposed and cue-naïve animals. mir-1298-5p positively correlated with drug SA history after a relapse test during late abstinence. When animals underwent acute abstinence with no relapse test, mir-1298-5p correlated with drug infusions and active lever pressing during SA. In late abstinence with no relapse test, mir-137-3p negatively correlated with drug infusions. Regulation of mir-32-5p target genes and significant correlation of target gene mRNA with mir-32-5p was observed after abstinence. These results indicate that lasting regulation of miRNA expression is associated with drug intake following morphine SA. In addition, we conclude that the miRNA profile undergoes regulation from early to late abstinence and miRNA expression may indicate past drug history.


Assuntos
MicroRNAs , Núcleo Accumbens , Animais , Sinais (Psicologia) , Comportamento de Procura de Droga , Masculino , MicroRNAs/genética , MicroRNAs/metabolismo , Morfina/farmacologia , Ratos , Recidiva , Autoadministração
3.
Int J Mol Sci ; 23(3)2022 Jan 27.
Artigo em Inglês | MEDLINE | ID: mdl-35163373

RESUMO

The number of drug overdose deaths involving opioids continues to rise in the United States. Many patients with opioid use disorder (OUD) that seek treatment still experience relapse. Perseverant opioid seeking behaviors represent a major challenge to treating OUD and additional therapeutic development will require insight into opioid-induced neurobiological adaptations. In this study, we explored the regulation of a novel class of RNAs, circular RNAs (circRNAs), by the addictive opioid heroin in the rat orbitofrontal cortex (OFC), a brain region that mediates behavioral responses to rewarding stimuli. Microarray analysis identified 76 OFC circRNAs significantly regulated in male rats after heroin self-administration. We evaluated the specificity of these findings by measuring heroin-associated circRNA expression in female rats after heroin self-administration and in rats that self-administered sucrose. We identify circGrin2b, circUbe2cp, circAnks1a, circAdcy5 and circSlc24A2 as heroin-responsive circRNAs in the OFC. Linear mRNA levels of heroin-associated circRNAs were unchanged except for Grin2b and Adcy5. An integrated bioinformatics analysis of regulated circRNAs identified microRNAs predicted to bind heroin-associated circRNAs and downstream targets of circRNA: microRNA sponging. Thus, heroin regulates the expression of OFC RNA splice variants that circularize and may impact cellular processes that contribute to the neurobiological adaptations that arise from chronic heroin exposure.


Assuntos
Lobo Frontal/metabolismo , Regulação da Expressão Gênica , Heroína/farmacologia , Órbita/metabolismo , RNA Circular/genética , Animais , Éxons/genética , Feminino , Regulação da Expressão Gênica/efeitos dos fármacos , Genoma , Heroína/administração & dosagem , Masculino , MicroRNAs/genética , MicroRNAs/metabolismo , RNA Circular/metabolismo , Ratos Sprague-Dawley , Reprodutibilidade dos Testes , Recompensa , Autoadministração , Sacarose/farmacologia
4.
Prog Neurobiol ; 232: 102546, 2024 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-38036039

RESUMO

The orbitofrontal cortex (OFC) is a vital component of brain reward circuitry that is important for reward seeking behavior. However, OFC-mediated molecular mechanisms underlying rewarding behavior are understudied. Here, we report the first circular RNA (circRNA) profile associated with appetitive reward and identify regulation of 92 OFC circRNAs by sucrose self-administration. Among these changes, we observed downregulation of circNrxn3, a circRNA originating from neurexin 3 (Nrxn3), a gene involved in synaptogenesis, learning, and memory. Transcriptomic profiling via RNA sequencing and qPCR of the OFC following in vivo knock-down of circNrxn3 revealed differential regulation of genes associated with pathways important for learning and memory and altered splicing of Nrxn3. Furthermore, circNrxn3 knock-down enhanced sucrose self-administration and motivation for sucrose. Using RNA-immunoprecipitation, we report binding of circNrxn3 to the known Nrxn3 splicing factor SAM68. circNrxn3 is the first reported circRNA capable of regulating reward behavior and circNrxn3-mediated interactions with SAM68 may impact subsequent downstream processing of RNAs such as the regulation of gene expression and splicing.


Assuntos
Motivação , RNA Circular , Humanos , RNA Circular/genética , Aprendizagem , Córtex Pré-Frontal/fisiologia , Recompensa , Sacarose
5.
Front Cardiovasc Med ; 8: 773473, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34912867

RESUMO

To determine whether pro-inflammatory lipid lysophosphatidylinositols (LPIs) upregulate the expressions of membrane proteins for adhesion/signaling and secretory proteins in human aortic endothelial cell (HAEC) activation, we developed an EC biology knowledge-based transcriptomic formula to profile RNA-Seq data panoramically. We made the following primary findings: first, G protein-coupled receptor 55 (GPR55), the LPI receptor, is expressed in the endothelium of both human and mouse aortas, and is significantly upregulated in hyperlipidemia; second, LPIs upregulate 43 clusters of differentiation (CD) in HAECs, promoting EC activation, innate immune trans-differentiation, and immune/inflammatory responses; 72.1% of LPI-upregulated CDs are not induced in influenza virus-, MERS-CoV virus- and herpes virus-infected human endothelial cells, which hinted the specificity of LPIs in HAEC activation; third, LPIs upregulate six types of 640 secretomic genes (SGs), namely, 216 canonical SGs, 60 caspase-1-gasdermin D (GSDMD) SGs, 117 caspase-4/11-GSDMD SGs, 40 exosome SGs, 179 Human Protein Atlas (HPA)-cytokines, and 28 HPA-chemokines, which make HAECs a large secretory organ for inflammation/immune responses and other functions; fourth, LPIs activate transcriptomic remodeling by upregulating 172 transcription factors (TFs), namely, pro-inflammatory factors NR4A3, FOS, KLF3, and HIF1A; fifth, LPIs upregulate 152 nuclear DNA-encoded mitochondrial (mitoCarta) genes, which alter mitochondrial mechanisms and functions, such as mitochondrial organization, respiration, translation, and transport; sixth, LPIs activate reactive oxygen species (ROS) mechanism by upregulating 18 ROS regulators; finally, utilizing the Cytoscape software, we found that three mechanisms, namely, LPI-upregulated TFs, mitoCarta genes, and ROS regulators, are integrated to promote HAEC activation. Our results provide novel insights into aortic EC activation, formulate an EC biology knowledge-based transcriptomic profile strategy, and identify new targets for the development of therapeutics for cardiovascular diseases, inflammatory conditions, immune diseases, organ transplantation, aging, and cancers.

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