Meisal temporal lobe epilepsy sequencing study
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ABSTRACT:
PROVIDER: EGAS00001003922 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Temporal lobe epilepsy (TLE) is the most common subtype of epilepsy in adults and is characterized by neuronal loss, gliosis, and sprouting mossy fibers in the hippocampus. But the mechanism underlying neuronal loss has not been fully elucidated. A new programmed cell death, cuproptosis, has recently been discovered; however, its role in TLE is not clear. To investigate the the features of 12 cuproptosis-related genes in TLEs and controls，six epileptic focus specimens were obtained from the hippocampus of patients diagnosed with intractable TLE according to the International League Against Epilepsy (ILAE) diagnostic criteria (Blümcke et al., 2013). Because the hippocampal specimens from age matched controls were sparse, we only collected two control hippocampi from autopsied individuals without a known history of neurologic or psychiatric disease, ensuring a 3:1 disease-to control match.
2023-06-20 | E-MTAB-13092 | biostudies-arrayexpress
Project description:The epilepsies represent one of the most common neurological disorders. Mesial temporal lobe epilepsies (MTLE) are the most frequent form of partial epilepsies and display frequent resistance to anti-epileptic drugs thus representing a major health care problem. In TLE, the origin of seizure activity typically involves the hippocampal formation, which displays major neuropathological features, described with the term hippocampal sclerosis (HS). HS is the most frequent pathological substrate of refractory mesial temporal lobe epilepsy. Complex partial seizures (CPS) are the predominant seizure type associated with medial temporal lobe epilepsy. MTLE is commonly due to mesial temporal sclerosis (MTS). The biology underlying the epilepstic seizures and the transcriptome associated to the seizure in intractable medial temporal lobe epilepsy is ill understood. The aim of the study was to identify potential biomarkers that could identify epileptic seizure. Thus we performed transcriptome profiling of ten medial temporal lobe epilepsy cases which are resistant to the drug and underwent temporal lobectomy. The cases constitutes of patients with intractable complex partial seizure, treated medically and have undergone detailed presurgical evaluation and subjected to surgery for standard temporal lobectomy and amygdalo-hippocampectomy. The spiking areas identified after the electrocorticography will form the test tissues, which compared with the nonspiking areas removed during the surgery, from the same patient. This could probably form one of the appropriate controls, as test and control are from same patient, which eliminates the genome variations that could incur due to the comparison with the tissues from the another patient. Also this could get rid of expression changes due to the treatments undergone by the patient. We performed two color microarray wherein we labled seizure focus (spiking area) with Cy5 and non-seizure region tissues (non-spiking) with Cy3. As a strategy to test the possibility of potential diagnostic biomarkers we are intended to test the differentially regulated molecules in an independent set of epilepsy samples. Two color experiment
2012-12-01 | E-GEOD-25453 | biostudies-arrayexpress
Project description:Epilepsy is a group of chronic brain disorders characterized by recurrent, abnormal neuronal firing that causes temporary CNS dysfunction. Hippocampal sclerosis (HS) is identified as the predominant pathological alteration in epilepsy, particularly in temporal lobe epilepsy. This study investigates the metabolic profiles of epileptic hippocampal tissues using proteomics and lipidomics techniques. An epilepsy model was established in SD rats via intraperitoneal injection of PTZ, with hippocampal tissue samples subsequently extracted for histopathological examination. Proteomics analysis was conducted using iTRAQ combined with LC-MS/MS, while lipidomics analysis employed UHPLC Q-TOF/MS. Proteomic analysis revealed 144 differentially expressed proteins in acute epileptic hippocampus and 83 in chronic epileptic hippocampus. Key proteins, including Nefh, Vim, Gsn, Sirt2, Cnp, Mef2d, and Ctsd, were pivotal in epileptic hippocampal tissue injury and validated through PRM. Concurrently, lipid metabolomics revealed 83 differentially expressed metabolites in acute epileptic hippocampus and 142 in chronic epileptic hippocampus. Bioinformatics analysis indicated that glycerophospholipid, sphingolipid, and glyceride metabolism pathways were crucial in epileptic hippocampal tissue injury. Integrated proteomics and lipidomics analysis revealed significant correlations between Gsn, Ctsd, and Nefh with four metabolic pathways. These findings provide deeper insights into the pathophysiological mechanisms of epileptic hippocampal tissue damage, potentially unveiling novel therapeutic avenues for clinicians.
2024-10-09 | PXD056630 |
Project description:Analysis of biopsy hippocampal tissue of patients with pharmacoresistant temporal lobe epilepsy (TLE) undergoing neurosurgical removal of the epileptogenic focus for seizure control. Chronic TLE goes along with focal hyperexcitability. Results provide insight into molecular mechanisms that may play a role in seizure propensity 150 human hippocampus samples
2014-12-04 | E-GEOD-63808 | biostudies-arrayexpress
Project description:The epilepsies represent one of the most common neurological disorders. Mesial temporal lobe epilepsies (MTLE) are the most frequent form of partial epilepsies and display frequent resistance to anti-epileptic drugs thus representing a major health care problem. In TLE, the origin of seizure activity typically involves the hippocampal formation, which displays major neuropathological features, described with the term hippocampal sclerosis (HS). HS is the most frequent pathological substrate of refractory mesial temporal lobe epilepsy. Complex partial seizures (CPS) are the predominant seizure type associated with medial temporal lobe epilepsy. MTLE is commonly due to mesial temporal sclerosis (MTS). The biology underlying the epilepstic seizures and the transcriptome associated to the seizure in intractable medial temporal lobe epilepsy is ill understood. The aim of the study was to identify potential biomarkers that could identify epileptic seizure. Thus we performed transcriptome profiling of ten medial temporal lobe epilepsy cases which are resistant to the drug and underwent temporal lobectomy. The cases constitutes of patients with intractable complex partial seizure, treated medically and have undergone detailed presurgical evaluation and subjected to surgery for standard temporal lobectomy and amygdalo-hippocampectomy. The spiking areas identified after the electrocorticography will form the test tissues, which compared with the nonspiking areas removed during the surgery, from the same patient. This could probably form one of the appropriate controls, as test and control are from same patient, which eliminates the genome variations that could incur due to the comparison with the tissues from the another patient. Also this could get rid of expression changes due to the treatments undergone by the patient. We performed two color microarray wherein we labled seizure focus (spiking area) with Cy5 and non-seizure region tissues (non-spiking) with Cy3. As a strategy to test the possibility of potential diagnostic biomarkers we are intended to test the differentially regulated molecules in an independent set of epilepsy samples.
2012-12-01 | GSE25453 | GEO
Project description:Epilepsy is characterized by hypersynchronous neuronal discharges, which are associated with an increased cerebral metabolic rate of oxygen and ATP demand. Uncontrolled seizure activity (status epilepticus) results in mitochondrial exhaustion and ATP depletion, which potentially generate energy mismatch and neuronal loss. Many cells can adapt to increased energy demand by increasing metabolic capacities. However, acute metabolic adaptation during epileptic activity and its relationship to chronic epilepsy remains poorly understood. We elicited seizure-like events (SLEs) in an in vitro model of status epilepticus for eight hours. Electrophysiological recording and tissue oxygen partial pressure recordings were performed. After eight hours of ongoing SLEs, we used proteomics-based kinetic modeling to evaluate changes in metabolic capacities. We compared our findings regarding acute metabolic adaptation to published proteomic and transcriptomic data from chronic epilepsy patients. Epileptic tissue acutely responded to uninterrupted SLEs by upregulating ATP production capacity. This was achieved by a coordinated increase in the abundance of proteins from the respiratory chain and oxidative phosphorylation system. In contrast, chronic epileptic tissue shows a 25-40% decrease in ATP production capacity. In summary, our study reveals that epilepsy leads to dynamic metabolic changes. Acute epileptic activity boosts ATP production, while chronic epilepsy reduces it significantly.
2024-09-12 | PXD055090 | Pride
Project description:Epilepsy causes altered gene expression; transient adenosine treatment inhibits progression of epileptogenesis Hippocampus of epileptic rat is hypermethylated compared to naïve; adenosine treatment causes hypomethylation Metylation state in epileptic rats (9 weeks post kainic acid induced status epilepticus) was compared to naïve (untreated) rats and epileptic rats treated with adenosine for 5 days
2013-09-05 | E-GEOD-45932 | biostudies-arrayexpress
Project description:CpG methylation analysis of MeDIP DNA using Agilent Human DNA methylation Microarray slides (G4495A, AMADID 023795) Using methylated DNA immunoprecipitation microarray (MeDIP-chip) and Agilent Human DNA methylation Microarray slides (G4495A, AMADID 023795) we report genomic methylation signatures of tissues resected from Mesial temporal epilepsy (MTLE) and Focal cortical dysplasia (FCD) type II patients undergoing surgery. Control samples were obtained from the non-epileptic post mortem cases without any brain pathology
2018-03-10 | GSE96067 | GEO
Project description:Ion channel splice array data collected from temporal neocortex brain tissue collected from patients with mesial temporal lobe epilepsy. Temporal cortex samples from control subjects were compared to temporal neocortex of patients with mesial temporal lobe epilepsy
2010-06-11 | E-GEOD-6773 | biostudies-arrayexpress
Project description:There are no blood-based molecular biomarkers of temporal lobe epilepsy (TLE) to support clinical diagnosis. MicroRNAs are short noncoding RNAs with strong biomarker potential due to their cell-specific expression, mechanistic links to brain excitability, and stable and reliable detection in biofluids. Altered expression of circulating microRNAs has been reported in human epilepsy, but most studies collected samples from one clinical site, relied on a single platform for profiling or conducted minimal validation. We collected plasma samples from video-electroencephalogram-monitored adult TLE patients at epilepsy specialist centers in two different countries, performed genome-wide PCR-based and RNA sequencing during the discovery phase and validated in a large cohort of samples (>300 samples) that included patients with psychogenic non-epileptic seizures. After profiling, validation of the discovery cohort and validation in the larger patient groups we identified miR-27a-3p, miR-328-3p and miR-654-3p with strong TLE biomarker potential. Plasma levels of these microRNAs were regulated in the same direction in plasma from epileptic mice, and furthermore were not different to healthy controls in patients with psychogenic non-epileptic seizures. The biomarker potential was extended by determining microRNA copy number in plasma and we demonstrate rapid detection of these microRNAs using an electrochemical RNA microfluidic disk as a prototype point-of-care device. Investigation of the molecular transport mechanism in plasma determined analysis of all three microRNAs within the exosome-enriched provided highest diagnostic accuracy while levels of Argonaute-bound miR-328-3p selectively increased in patient samples collected after seizures. In situ hybridization revealed the presence of miR-27a-3p and miR-328-3p within neurons in human brain and bioinformatics analysis predicted targets linked to growth factor signaling and apoptosis. Taken together, this study extends evidence for the biomarker potential of circulating microRNAs for epilepsy diagnosis and mechanistic links to underlying pathomechanisms.
2019-01-02 | GSE114847 | GEO