ArticleBMC genomics2013
Positively correlated miRNA-mRNA regulatory networks in mouse frontal cortex during early stages of alcohol dependence.
Article in BMC genomics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 2 of them syntheses that pooled it.
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Who cites it
89 citing papers in PubMed, 2 syntheses or guidelines pooled it, 121 citations in OpenAlex.
- miRNAs and Substances Abuse: Clinical and Forensic Pathological Implications: A Systematic Review.International journal of molecular sciences · 2023Pooled it
- Role of microRNAs in the pathophysiology of addiction.Wiley interdisciplinary reviews. RNA · 2021Pooled it
- Predicting and understanding the response to short-term intensive insulin therapy in people with early type 2 diabetes.Molecular metabolism · 2019Trial
- Micro-RNA signature in alcohol dependence: Circulating miRNA-92b and miRNA-382-5p levels as candidate biomarkers: A case-control study.Indian journal of psychiatry · 2026Article
- Article
- Noncoding RNA and Alcohol Use Disorder: A Scoping Review of Current Research and Knowledge Gaps.Alcohol research : current reviews · 2025Article
- Epigenetic Dysregulation in Alcohol-Associated Behaviors: Preclinical and Clinical Evidence.Current topics in behavioral neurosciences · 2025Review
- Toll-like receptor 7: A novel neuroimmune target to reduce excessive alcohol consumption.Neurobiology of stress · 2024Article
- Neuron enriched extracellular vesicles' MicroRNA expression profiles as a marker of early life alcohol consumption.Translational psychiatry · 2024Article
- miRNA Expression Analysis of the Hippocampus in a Vervet Monkey Model of Fetal Alcohol Spectrum Disorder Reveals a Potential Role in Global mRNA Downregulation.Brain sciences · 2023Article
- Functional roles, regulatory mechanisms and theranostics applications of ncRNAs in alcohol use disorder.International journal of biological sciences · 2023Review
- Integrated bioinformatic analysis of dysregulated microRNA-mRNA co-expression network in ovarian endometriosis.Acta obstetricia et gynecologica Scandinavica · 2022Article
- MicroRNAs Regulate TASK-1 and Are Linked to Myocardial Dilatation in Atrial Fibrillation.Journal of the American Heart Association · 2022Article
- Non-coding RNA in alcohol use disorder by affecting synaptic plasticity.Experimental brain research · 2022Review
- Noncoding RNA therapeutics for substance use disorder.Advances in drug and alcohol research · 2022Article
- Proteomics and weighted gene correlated network analysis reveal glutamatergic synapse signaling in diazepam treatment of alcohol withdrawal.Frontiers in pharmacology · 2022Article
- Integrative analysis of microRNAs and mRNAs reveals the regulatory networks of triterpenoid saponin metabolism in Soapberry (Frontiers in plant science · 2022Article
- Acute Ethanol Challenge Differentially Regulates Expression of Growth Factors and miRNA Expression Profile of Whole Tissue of the Dorsal Hippocampus.Frontiers in neuroscience · 2022Article
- Non-coding RNA basis of muscle atrophy.Molecular therapy. Nucleic acids · 2021Review
- Identifying a novel biological mechanism for alcohol addiction associated with circRNA networks acting as potential miRNA sponges.Addiction biology · 2021Article
29 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
backgroundAlthough the study of gene regulation via the action of specific microRNAs (miRNAs) has experienced a boom in recent years, the analysis of genome-wide interaction networks among miRNAs and respective targeted mRNAs has lagged behind. MicroRNAs simultaneously target many transcripts and fine-tune the expression of genes through cooperative/combinatorial targeting. Therefore, they have a large regulatory potential that could widely impact development and progression of diseases, as well as contribute unpredicted collateral effects due to their natural, pathophysiological, or treatment-induced modulation. We support the viewpoint that whole mirnome-transcriptome interaction analysis is required to better understand the mechanisms and potential consequences of miRNA regulation and/or deregulation in relevant biological models. In this study, we tested the hypotheses that ethanol consumption induces changes in miRNA-mRNA interaction networks in the mouse frontal cortex and that some of the changes observed in the mouse are equivalent to changes in similar brain regions from human alcoholics.
resultsmiRNA-mRNA interaction networks responding to ethanol insult were identified by differential expression analysis and weighted gene coexpression network analysis (WGCNA). Important pathways (coexpressed modular networks detected by WGCNA) and hub genes central to the neuronal response to ethanol are highlighted, as well as key miRNAs that regulate these processes and therefore represent potential therapeutic targets for treating alcohol addiction. Importantly, we discovered a conserved signature of changing miRNAs between ethanol-treated mice and human alcoholics, which provides a valuable tool for future biomarker/diagnostic studies in humans. We report positively correlated miRNA-mRNA expression networks that suggest an adaptive, targeted miRNA response due to binge ethanol drinking.
conclusionsThis study provides new evidence for the role of miRNA regulation in brain homeostasis and sheds new light on current understanding of the development of alcohol dependence. To our knowledge this is the first report that activated expression of miRNAs correlates with activated expression of mRNAs rather than with mRNA downregulation in an in vivo model. We speculate that early activation of miRNAs designed to limit the effects of alcohol-induced genes may be an essential adaptive response during disease progression.
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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.