ReviewMolecular and cellular neurosciences2023
Circular RNA regulation and function in drug seeking phenotypes.
Review in Molecular and cellular neurosciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
8 citing papers in PubMed, 13 citations in OpenAlex.
- Novel circUnc79 regulates morphine-induced reward memoryActa pharmaceutica Sinica. B · 2026Article
- Article
- Peroxisome, neuropeptide, and inflammation signaling pathways uniquely impacted by opioid exposure in the hypothalamus of males and females.Molecular and cellular neurosciences · 2025Article
- Circular RNA hsa_circ_0000288 protects against epilepsy in mice by binding to and stabilizing caprin1 protein.Acta pharmacologica Sinica · 2025Article
- Opioid-Induced Regulation of Cortical Circular-International journal of molecular sciences · 2025Article
- CircRNA hypomethylation in the human amygdala implicatesbioRxiv : the preprint server for biology · 2025Article
- CircRNA_103809/miR-516a/FBXL18 contributes to stemness and gemcitabine resistance of bladder cancer cells.Archives of medical science : AMS · 2025Article
- Regulatory mechanisms of circular RNAs during human mesenchymal stem cell osteogenic differentiation.Theranostics · 2024Review
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.