Blood miRNA as biomarkers of epilepsy (HIGH vs. LOW)
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ABSTRACT:
ORGANISM(S): synthetic construct Rattus norvegicus
PROVIDER: GSE234941 | GEO | 2024/06/14
REPOSITORIES: GEO
Similar Datasets
Project description:Epilepsy frequently develops as a result of brain insult, for example brain injury or stroke. Currently there are no tools allowing us to predict which trauma patients will eventually develop epilepsy. There is evidence that microRNAs levels are altered in the blood, making them attractive candidates for peripheral biomarkers of epilepsy. We analyzed miRNA levels in blood samples using Affymetrix microarrays 4.1 and performed comparative analysis of samples. We performed 3 comparisons: i) control animals vs. Status epilepticus animals, ii) animals which developed first spontaneous seizure around 7 days post stimulation (EARLY), or later after 21days post stimulation (LATE), iii) animals that had high or low number of seizures as determined by seizures number (EARLY vs. LATE).
2024-06-14 | GSE234940 | GEO
Project description:Epilepsy frequently develops as a result of brain insult, for example brain injury or stroke. Currently there are no tools allowing us to predict which trauma patients will eventually develop epilepsy. There is evidence that microRNAs levels are altered in the blood, making them attractive candidates for peripheral biomarkers of epilepsy. We analyzed miRNA levels in blood samples using Affymetrix microarrays 4.1 and performed comparative analysis of samples. We performed 3 comparisons: i) control animals vs. Status epilepticus animals, ii) animals which developed first spontaneous seizure around 7 days post stimulation (EARLY), or later after 21days post stimulation (LATE), iii) animals that had high or low number of seizures as determined by seizures number (EARLY vs. LATE).
2024-06-14 | GSE234937 | GEO
Project description:Epilepsy frequently develops as a result of brain insult, for example brain injury or stroke. Currently there are no tools allowing us to predict which trauma patients will eventually develop epilepsy. There is evidence that microRNAs levels are altered in plasma, making them attractive candidates for peripheral biomarkers of epilepsy. We analyzed miRNA levels in plasma samples using Affymetrix microarrays 4.1 and performed comparative analysis of samples. We performed 3 comparisons: i) control animals vs. Status epilepticus animals, ii) animals which developed first spontaneous seizure around 7 days post stimulation (EARLY), or later after 21days post stimulation (LATE), iii) animals that had developed seizures at given timepoint (EPI) and animals that did not experience seizures by given timepoint (NONEPI).
2023-12-10 | GSE241756 | GEO
Project description:This SuperSeries is composed of the following subset Series: GSE27015: Rat model of MTLE: Animals with epilepsy vs animals without epilepsy (Agilent) GSE27166: Rat model of MTLE: Animals with epilepsy vs animals without epilepsy (codelink) Refer to individual Series
2011-02-13 | E-GEOD-27268 | biostudies-arrayexpress
Project description:Neither the molecular basis of the pathologic tendency of neuronal circuits to generate spontaneous seizures (epileptogenicity) nor anti-epileptogenic mechanisms that maintain a seizure-free state are well understood. Here, we performed transcriptomic analysis in the intrahippocampal kainate model of temporal lobe epilepsy in rats using both Agilent and Codelink microarray platforms to characterize the epileptic processes. The experimental design allowed subtraction of the confounding effects of the lesion, identification of expression changes associated with epileptogenicity, and genes upregulated by seizures with potential homeostatic anti-epileptogenic effects. Using differential expression analysis, we identified several hundred expression changes in chronic epilepsy, including candidate genes associated with epileptogenicity such as Bdnf and Kcnj13. To analyze these data from a systems perspective, we applied weighted gene co-expression network analysis (WGCNA) to identify groups of co-expressed genes (modules) and their central (hub) genes. One such module contained genes upregulated in the epileptogenic region, including multiple epileptogenicity candidate genes, and was found to be involved the protection of glial cells against oxidative stress, implicating glial oxidative stress in epileptogenicity. Another distinct module corresponded to the effects of chronic seizures and represented changes in neuronal synaptic vesicle trafficking. We found that the network structure and connectivity of one hub gene, Sv2a, showed significant changes between normal and epileptogenic tissue, becoming more highly connected in epileptic brain. Since Sv2a is a target of the antiepileptic levetiracetam, this module may be important in controlling seizure activity. Bioinformatic analysis of this module also revealed a potential mechanism for the observed transcriptional changes via generation of longer alternatively polyadenlyated transcripts through the upregulation of the RNA binding protein HuD. In summary, combining conventional statistical methods and network analysis allowed us to interpret the differentially regulated genes from a systems perspective, yielding new insight into several biological pathways underlying homeostatic anti-epileptogenic effects and epileptogenicity. Four condition experiment with five samples per condition. The samples include right dentate gyrus from animals with seizures, left dentate gyrus from animals with seizures, right dentate gyrus from animals without seizures, and left dentate gyrus from animals without seizures. A dye swap was included.
2011-02-13 | E-GEOD-27015 | biostudies-arrayexpress
Project description:Neither the molecular basis of the pathologic tendency of neuronal circuits to generate spontaneous seizures (epileptogenicity) nor anti-epileptogenic mechanisms that maintain a seizure-free state are well understood. Here, we performed transcriptomic analysis in the intrahippocampal kainate model of temporal lobe epilepsy in rats using both Agilent and Codelink microarray platforms to characterize the epileptic processes. The experimental design allowed subtraction of the confounding effects of the lesion, identification of expression changes associated with epileptogenicity, and genes upregulated by seizures with potential homeostatic anti-epileptogenic effects. Using differential expression analysis, we identified several hundred expression changes in chronic epilepsy, including candidate genes associated with epileptogenicity such as Bdnf and Kcnj13. To analyze these data from a systems perspective, we applied weighted gene co-expression network analysis (WGCNA) to identify groups of co-expressed genes (modules) and their central (hub) genes. One such module contained genes upregulated in the epileptogenic region, including multiple epileptogenicity candidate genes, and was found to be involved the protection of glial cells against oxidative stress, implicating glial oxidative stress in epileptogenicity. Another distinct module corresponded to the effects of chronic seizures and represented changes in neuronal synaptic vesicle trafficking. We found that the network structure and connectivity of one hub gene, Sv2a, showed significant changes between normal and epileptogenic tissue, becoming more highly connected in epileptic brain. Since Sv2a is a target of the antiepileptic levetiracetam, this module may be important in controlling seizure activity. Bioinformatic analysis of this module also revealed a potential mechanism for the observed transcriptional changes via generation of longer alternatively polyadenlyated transcripts through the upregulation of the RNA binding protein HuD. In summary, combining conventional statistical methods and network analysis allowed us to interpret the differentially regulated genes from a systems perspective, yielding new insight into several biological pathways underlying homeostatic anti-epileptogenic effects and epileptogenicity. Four condition experiment with five samples per condition. The samples include right dentate gyrus from animals with seizures, left dentate gyrus from animals with seizures, right dentate gyrus from animals without seizures, and left dentate gyrus from animals without seizures.
2011-02-13 | E-GEOD-27166 | biostudies-arrayexpress
Project description:Mice lacking miR-22 displayed normal behavior and brain structure and developed similar status epilepticus after intraamygdala kainic acid compared to wildtype animals. Subsequent continuous EEG monitoring revealed an accelerated and exacerbated epileptogenesis whereby spontaneous seizures began sooner, occurred more frequently and were of longer duration in miR-22-deficient mice. RNA sequencing analysis of the hippocampus of mice during the period of epileptogenesis revealed a widespread suppression of inflammatory signalling in the hippocampus of miR-22-deficient mice. Taken together, these findings indicate a role for miR-22 in establishing early inflammatory responses to status epilepticus. Inflammatory signalling may serve anti-epileptogenic functions and cautions the timing of anti-inflammatory treatments for the treatment of status epilepticus.
2020-06-24 | GSE147466 | GEO
Project description:The diagnosis of epilepsy is complex and challenging and would benefit from the availability of molecular biomarkers, ideally measurable in a biofluid such as blood. Experimental and human epilepsy are associated with altered brain and blood levels of various microRNAs (miRNAs). Evidence is lacking, however, as to whether any of the circulating pool of miRNAs originates from the brain. To explore the link between circulating miRNAs and the pathophysiology of epilepsy, we first sequenced Ago2-bound miRNAs in plasma samples collected from mice subject to status epilepticus (SE) induced by intraamygdala microinjection of kainic acid. This identified time-dependent changes in plasma levels of miRNAs with known neuronal and microglial-cell origins. To explore whether the circulating miRNAs had originated from the brain, we generated mice expressing FLAG-Ago2 in neurons or microglia using tamoxifen-inducible Thy1 or Cx3cr1 promoters, respectively. FLAG immunoprecipitates from the plasma of these mice after seizures contained miRNAs, including let-7i-5p and miR-19b-3p. Taken together, these studies confirm that a portion of the circulating pool of miRNAs in experimental epilepsy originates from the brain, increasing support for miRNAs as mechanistic biomarkers of epilepsy.
2023-09-13 | GSE233890 | GEO
Project description:This study was performed to test the hypothesis that systemic leukocyte gene expression has prognostic value differentiating low from high seizure frequency refractory temporal lobe epilepsy (TLE). A consecutive series of sixteen patients with refractory temporal lobe epilepsy was studied. Based on a median baseline seizure frequency of 2.0 seizures per month, low versus high seizure frequency was defined as < 2 seizures/month and > 2 seizures/month, respectively.
2022-11-15 | GSE217726 | GEO
Project description:The aim of this work was to identify mRNA expression changes in the ipsilateral hippocampus in the intraamygdala kainic acid (KA) mouse model of status epilepticus. In this model, status epilepticus (prolonged damaging seizures) are triggered by an intraamygdala KA injection. All mice develop epilepsy after a short latency period of 3-5 days. For our experiments, 10-week old mice with a C57BL/6 background were either injected with intraamygdala KA (n = 18) or vehicle (PBS, n = 18). Mice were sacrificed 8 hours following status epilepticus (acute pathology) or 14 days post-status epilepticus (timepoint at which all mice suffer from chronic epilepsy) and ipsilateral hippocampi were quickly dissected and pooled into 3 groups (n = 3 per pooled sample).
2021-09-09 | GSE122228 | GEO