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1.
Ther Adv Neurol Disord ; 17: 17562864241237851, 2024.
Article in English | MEDLINE | ID: mdl-38525487

ABSTRACT

Background: Low-grade epilepsy-associated brain tumors (LEATs) are found to be the second most common lesion-related epilepsy. Malignant potential of LEATs is very low and the overall survival is good, so the focus of treatment is focused more on seizure outcome rather than oncological prognosis. Objectives: This study was conducted to evaluate the risk factors of seizure outcomes after resection in patients with LEATs. Design: A retrospective study. Methods: A retrospective analysis of patients with LEATs who underwent resective surgery in our three epilepsy centers between October 2010 and April 2023 with a minimum follow-up of 1 year. Demography, clinical characters, neurophysiology, and molecular neuropathology were assessed for association with postoperative seizure outcomes at 1-, 2-, and 5-year follow-up. Synthetic minority oversampling technique (SMOTE) algorithm model was performed to handle the imbalance of data distribution. Gaussian Naïve Bayes (GNB) algorithms were created as a basis for classifying outcomes according to observation indicators. Results: A total of 111 patients were enrolled in the cohort. The most common pathology was ganglioglioma (n = 37, 33.3%). The percentage of patients with seizure freedom was 91.0% (101/111) at 1-year follow-up, 87.5% (77/88) at 2-year follow-up, and 79.1% (53/67) at 5-year follow-up. Partial resection had a significantly poor seizure outcome compared to total resection and supratotal resection (p < 0.05). The epileptiform discharge on post-resective intraoperative electrocorticography (ECoG) or postoperative scalp electroencephalography (EEG) were negative factors on postoperative seizure freedom at 1-, 2-, or 5-year follow-ups (p < 0.05). The area under the receiver-operating characteristic curve value of the GNB-SMOTE model was 0.95 (95% CI, 0.876-1.000), 0.892 (95% CI, 0.656-0.934), and 0.786 (95% CI, 0.491-0.937) at 1-, 2-, and 5-year follow-up, respectively. Conclusion: The partial resection, post-resective intraoperative ECoG, and postoperative scalp EEG were valuable indicators of poor seizure outcomes. The utilization of post-resective intraoperative ECoG is beneficial to improve seizure outcomes. Based on the data diversity and completeness of three medical centers, a multivariate correlation analysis model was established based on GNB algorithm.

2.
Front Neurol ; 14: 1181953, 2023.
Article in English | MEDLINE | ID: mdl-37305762

ABSTRACT

Objective: To investigate the effect of current resistance on therapeutic outcomes, and the mechanism of current conduction treatment in a rat model of temporal lobe epilepsy (TLE). Methods: Rats were randomly divided into four groups: normal control, epileptic group, low-resistance conduction (LRC) and high-resistance conduction (HRC) group. The content of glutamate (Glu) and gamma-amino butyric acid (GABA) in the hippocampus was determined using a neurotransmitter analyzer. mRNA and protein expression of interleukin 1ß (IL-1ß) /IL-1 receptor 1(IL-1R1) and high mobility group protein B1 (HMGB-1)/toll-like receptor-4 (TLR-4) in hippocampal neurons were tested. Video electroencephalogram monitoring was used to record seizures and EEG discharges. Cognitive function in the rats was tested using the Morris water maze. Results: Glu/GABA ratio in the epileptic control and HRC groups was significant differences from LRC group. The levels of HMGB1/TLR4 and IL-1ß/IL-1R1 in the LRC group and normal control group were significantly lower than those in epileptic control group (p < 0.01) and the HRC group. The mRNA levels of HMGB1/TLR4 and IL-1ß/IL-1R1 in the LRC group and normal control group were significantly lower than those in epileptic control group. The frequency of total and propagated seizures was lower in the LRC group than in the epileptic control and HRC groups (p < 0.01). The numbers of platform crossings in the LRC group and normal control group were significantly higher than those in the epileptic control and HRC groups in the space exploration experiment. Conclusion: Current resistance affected seizure control and cognitive protection in rats with TLE treated by current conduction. The lower current resistance, the better seizure control and cognitive protection in rats with TLE treated by current conduction. Glu/GABA, IL-1ß/IL-1R1, and HMGB1/TLR-4 may participate in the anti-seizure mechanism of current conduction treatment.

3.
Seizure ; 108: 81-88, 2023 May.
Article in English | MEDLINE | ID: mdl-37116294

ABSTRACT

OBJECTIVE: To perform a systematic review and meta-analysis to identify whether tuberectomy and tuberectomy plus are associated with different postoperative seizure outcomes in patients with tuberous sclerosis complex (TSC) -related epilepsy. METHODS: Electronic databases (PubMed, Embase, Cochrane, Proquest, Web of Science, Scopus, Biosis Previews) were searched without date restriction. Retrospective cohort studies of participants with TSC-associated epilepsy undergoing resective surgery that reported demographics, presurgical evaluation, extent of resection and postoperative seizure outcomes were included. Title, abstract and the full text were checked independently and in duplicate by two reviewers. Disagreements were resolved through discussion. One author extracted data which was verified by a second author using identified common standard in advance, including using a risk of bias tool we agreed on to evaluate study quality. RESULTS: Five studies, with a total of 327 participants, were included. One hundred and sixty patients received tuberectomy, and 93 of them (58.1%) achieved postoperative seizure freedom, while the other 167 patients underwent tuberectomy plus, and 128 of them (76.6%) achieved seizure freedom after adequate follow-ups (RR=0.72, 95% CI [0.60, 0.87], P<0.05). Subgroup analysis found that 40 of 63 (63.5%) patients after tuberectomy and 66 of 78 (84.6%) patients after tuberectomy plus of a single tuber achieved seizure freedom (RR = 0.71, 95% CI [0.56,0.91], P<0.05). In the multituber subrgroup, 16 of 42 (38.1%) and 21 of 31 (67.7%) patients achieved seizure freedom, after tuberectomy and tuberectomy plus, respectively (RR = 0.57, 95% CI [0.32,1.03], P = 0.06). CONCLUSIONS: Tuberectomy plus is a more effective treatment than tuberectomy for patients with TSC-related intractable epilepsy.


Subject(s)
Epilepsy , Tuberous Sclerosis , Humans , Retrospective Studies , Tuberous Sclerosis/complications , Tuberous Sclerosis/surgery , Electroencephalography , Seizures/surgery , Seizures/complications , Epilepsy/surgery , Epilepsy/complications , Treatment Outcome
4.
Neurol Sci ; 44(5): 1543-1554, 2023 May.
Article in English | MEDLINE | ID: mdl-36781564

ABSTRACT

BACKGROUND: Epilepsy is a neurological disease characterized by neural network dysfunction. Although most reports indicate that the pathological process of epilepsy is related to inflammation, synaptic plasticity, cell apoptosis, and ion channel dysfunction, the underlying molecular mechanisms of epilepsy are not fully understood. METHODS: This review summarizes the latest literature on the roles and characteristics of long noncoding RNAs (lncRNAs) in the pathogenesis of epilepsy. RESULTS: lncRNAs are a class of long transcripts without protein-coding functions that perform important regulatory functions in various biological processes. lncRNAs are involved in the regulation of the pathological process of epilepsy and are abnormally expressed in both patients and animal models. This review provides an overview of research progress in epilepsy, the multifunctional features of lncRNAs, the lncRNA expression pattern related to epileptogenesis and status epilepticus, and the potential mechanisms for the two interactions contributing to epileptogenesis and progression. CONCLUSION: lncRNAs can serve as new diagnostic markers and therapeutic targets for epilepsy in the future.


Subject(s)
Epilepsy , MicroRNAs , RNA, Long Noncoding , Animals , RNA, Long Noncoding/genetics , RNA, Messenger/metabolism , Epilepsy/genetics , Gene Regulatory Networks/genetics , MicroRNAs/genetics
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