Cannabidiol (CBD) is a cannabinoid component of marijuana that has no significant activity at cannabinoid receptors or psychoactive effects. There is considerable interest in CBD as a therapy for epilepsy. Almost a third of epilepsy patients are not adequately controlled by clinically available anti-seizure drugs (ASDs). Initial studies appear to demonstrate that CBD preparations may be a useful treatment for pharmacoresistant epilepsy. The National Institute of Neurological Disorders and Stroke (NINDS) funded Epilepsy Therapy Screening Program (ETSP) investigated CBD in a battery of seizure models using a refocused screening protocol aimed at identifying pharmacotherapies to address the unmet need in pharmacoresistant epilepsy. Applying this new screening workflow, CBD was investigated in mouse 6 Hz 44 mA, maximal electroshock (MES), corneal kindling models and rat MES and lamotrigine-resistant amygdala kindling models. Following intraperitoneal (i.p.) pretreatment, CBD produced dose-dependent protection in the acute seizure models; mouse 6 Hz 44 mA (ED 164 mg/kg), mouse MES (ED 83.5 mg/kg) and rat MES (ED 88.9 mg/kg). In chronic models, CBD produced dose-dependent protection in the corneal kindled mouse (ED 119 mg/kg) but CBD (up to 300 mg/kg) was not protective in the lamotrigine-resistant amygdala kindled rat. Motor impairment assessed in conjunction with the acute seizure models showed that CBD exerted seizure protection at non-impairing doses. The ETSP investigation demonstrates that CBD exhibits anti-seizure properties in acute seizure models and the corneal kindled mouse. However, further preclinical and clinical studies are needed to determine the potential for CBD to address the unmet needs in pharmacoresistant epilepsy.
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http://dx.doi.org/10.1007/s11064-017-2287-8 | DOI Listing |
Epilepsia
January 2025
Department of Neurology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Objective: To assess whether social determinants of health (SDOHs) are associated with the first antiseizure medication (ASM) prescribed for newly diagnosed epilepsy.
Methods: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standards were followed, and the protocol registered (CRD42023448998). Embase, Medline, and Web of Science were searched up to July 31, 2023.
J Neurointerv Surg
January 2025
Department of Neurology, China-Japan Union Hospital of Jilin University, Changchun, Jilin, China
Background: Post-stroke epilepsy (PSE) is a major complication of stroke. However, data about the predictors of PSE in patients with acute ischemic stroke (AIS) undergoing mechanical thrombectomy are limited.
Objective: To evaluate the relationship between intraoperative angiographic signs and PSE risk in patients with anterior circulation AIS who underwent mechanical thrombectomy.
Epilepsy Behav
January 2025
Epilepsy Research Center, Shiraz University of Medical Sciences, Shiraz, Iran; Jefferson Comprehensive Epilepsy Centre, Department of Neurology, Thomas Jefferson University, Philadelphia, PA, USA.
Background: As a debilitating and severe repercussion, the clinical and economic impact of Status epilepticus (SE) has not been thoroughly explored in various regions around the world, especially those with limited resources. Therefore, we aimed to identify the predictors of mortality and healthcare costs associated with SE in one tertiary care center with limited resources.
Methods: This retrospective single-center cohort study, carried out at Namazi Hospital, Shiraz, Iran, included 130 SE cases from March 21, 2021, to March 20, 2022.
Epilepsy Behav
January 2025
Renji Hospital, School of Medicine Shanghai Jiao Tong University, 160 Pujian Road, Shanghai 200127, China. Electronic address:
Background: Klotho is a geroprotective protein which has been recognized for its anti-aging properties. Pre-clinical evidence suggested that boosting Klotho might hold therapeutic potential in ageing and disease. Epilepsy is a neurological disorder characterized by its recurrent seizures.
View Article and Find Full Text PDFSci Adv
January 2025
Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano and IU.NET, Piazza Leonardo da Vinci 32, 20133 Milano, Italy.
Neurological disorders are a substantial global health burden, affecting millions of people worldwide. A key challenge in developing effective treatments and preventive measures is the realization of low-power wearable systems with early detection capabilities. Traditional strategies rely on machine learning algorithms, but their computational demands often exceed what miniaturized systems can provide.
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