ReviewFrontiers in cellular neuroscience2013
MicroRNA regulation and dysregulation in epilepsy.
Review in Frontiers in cellular neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it, 62 citations in OpenAlex.
- Systematic review and meta-analysis of differentially expressed miRNAs in experimental and human temporal lobe epilepsy.Scientific reports · 2017Pooled it
- MiRNA Dysregulation in Epilepsy: Bridging Molecular Mechanisms and Therapeutic Innovation.Molecular neurobiology · 2026Review
- Circulating microRNA-219 in stroke: Lack associations with clinical parameters and post-stroke epilepsy risk.IBRO neuroscience reports · 2025Article
- Age-Dependent Regulation of Dendritic Spine Density and Protein Expression in Mir324 KO Mice.Journal of molecular neuroscience : MN · 2023Article
- MicroRNAs in mouse and rat models of experimental epilepsy and potential therapeutic targets.Neural regeneration research · 2023Review
- Complexity in Genetic Epilepsies: A Comprehensive Review.International journal of molecular sciences · 2023Review
- Age-dependent regulation of dendritic spine density and protein expression in Mir324 KO mice.Research square · 2023Article
- Discovery and Validation of Circulating microRNAs as Biomarkers for Epileptogenesis after Experimental Traumatic Brain Injury-The EPITARGET Cohort.International journal of molecular sciences · 2023Article
- Evaluation of P-glycoprotein-targeting circulating microRNAs as peripheral biomarkers for medically intractable epilepsy.Acta epileptologica · 2023Article
- Detection of Deregulated miRNAs in Childhood Epileptic Encephalopathies.Journal of molecular neuroscience : MN · 2022Article
- Identification of Ion Channel-Related Genes and miRNA-mRNA Networks in Mesial Temporal Lobe Epilepsy.Frontiers in genetics · 2022Article
- Liquid biopsies in epilepsy: biomarkers for etiology, diagnosis, prognosis, and therapeutics.Human cell · 2022Review
- Circulating nucleic acids in the plasma and serum as potential biomarkers in neurological disorders.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2020Review
- MicroRNAs as Potential Biomarkers for Childhood Epilepsy.Open access Macedonian journal of medical sciences · 2019Article
- Expression of MicroRNAs miR-145, miR-181c, miR-199a and miR-1183 in the Blood and Hippocampus of Patients with Mesial Temporal Lobe Epilepsy.Journal of molecular neuroscience : MN · 2019Article
- Role of non-coding RNAs in non-aging-related neurological disorders.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2018Review
- miR-96 attenuates status epilepticus-induced brain injury by directly targeting Atg7 and Atg16L1.Scientific reports · 2017Article
- Article
- Ganaxolone: A New Treatment for Neonatal Seizures.Frontiers in cellular neuroscience · 2017Review
- Increased precursor microRNA-21 following status epilepticus can compete with mature microRNA-21 to alter translation.Experimental neurology · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Epilepsy, one of the most frequent neurological disorders, represents a group of diseases that have in common the clinical occurrence of seizures. The pathogenesis of different types of epilepsy involves many important biological pathways; some of which have been shown to be regulated by microRNAs (miRNAs). In this paper, we will critically review relevant studies regarding the role of miRNAs in epilepsy. Overall, the most common type of epilepsy in the adult population is temporal lobe epilepsy (TLE), and the form associated with mesial temporal sclerosis (MTS), called mesial TLE, is particularly relevant due to the high frequency of resistance to clinical treatment. There are several target studies, as well few genome-wide miRNA expression profiling studies reporting abnormal miRNA expression in tissue with MTS, both in patients and in animal models. Overall, these studies show a fine correlation between miRNA regulation/dysregulation and inflammation, seizure-induced neuronal death and other relevant biological pathways. Furthermore, expression of many miRNAs is dynamically regulated during neurogenesis and its dysregulation may play a role in the process of cerebral corticogenesis leading to malformations of cortical development (MCD), which represent one of the major causes of drug-resistant epilepsy. In addition, there are reports of miRNAs involved in cell proliferation, fate specification, and neuronal maturation and these processes are tightly linked to the pathogenesis of MCD. Large-scale analyzes of miRNA expression in animal models with induced status epilepticus have demonstrated changes in a selected group of miRNAs thought to be involved in the regulation of cell death, synaptic reorganization, neuroinflammation, and neural excitability. In addition, knocking-down specific miRNAs in these animals have demonstrated that this may consist in a promising therapeutic intervention.
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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.