Metabolism-based therapies for epilepsy: new directions for future cures.
11 Jul 2021-Annals of clinical and translational neurology (John Wiley and Sons Inc.)-Vol. 8, Iss: 8, pp 1730-1737
TL;DR: In this paper, the state of the science in metabolism-based therapies for epilepsy across the research lifecycle from basic to translational to clinical studies is considered, and a conceptual framework for creative, rigorous, and transparent research to benefit people with epilepsy through the understanding and modification of metabolism.
Abstract: OBJECTIVE Thousands of years after dietary therapy was proposed to treat seizures, how alterations in metabolism relates to epilepsy remains unclear, and metabolism-based therapies are not always effective. METHODS We consider the state of the science in metabolism-based therapies for epilepsy across the research lifecycle from basic to translational to clinical studies. RESULTS This analysis creates a conceptual framework for creative, rigorous, and transparent research to benefit people with epilepsy through the understanding and modification of metabolism. INTERPRETATION Despite intensive past efforts to evaluate metabolism-based therapies for epilepsy, distinct ways of framing a problem offer the chance to engage different mindsets and new (or newly applied) technologies. A comprehensive, creative, and inclusive problem-directed research agenda is needed, with a renewed and stringent adherence to rigor and transparency across all levels of investigation.
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TL;DR: In this paper , the brain mTORC1 signaling is reduced after acute fasting of mice and that neuronal mTORc1 integrates GATOR1 complex-mediated amino acid and tuberous sclerosis complex (TSC)-mediated growth factor signaling.
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TL;DR: In this paper, the authors review the mechanisms by which sleep deprivation induces neuroinflammation and propose that neuroinflammations synergizes with seizure activity to worsen neurodegeneration in the epileptic brain.
Abstract: Sleep disturbances, such as insomnia, obstructive sleep apnea, and daytime sleepiness, are common in people diagnosed with epilepsy. These disturbances can be attributed to nocturnal seizures, psychosocial factors, and/or the use of anti-epileptic drugs with sleep-modifying side effects. Epilepsy patients with poor sleep quality have intensified seizure frequency and disease progression compared to their well-rested counterparts. A better understanding of the complex relationship between sleep and epilepsy is needed, since approximately 20% of seizures and more than 90% of sudden unexpected deaths in epilepsy occur during sleep. Emerging studies suggest that neuroinflammation, (e.g., the CNS immune response characterized by the change in expression of inflammatory mediators and glial activation) may be a potential link between sleep deprivation and seizures. Here, we review the mechanisms by which sleep deprivation induces neuroinflammation and propose that neuroinflammation synergizes with seizure activity to worsen neurodegeneration in the epileptic brain. Additionally, we highlight the relevance of sleep interventions, often overlooked by physicians, to manage seizures, prevent epilepsy-related mortality, and improve quality of life.
7 citations
TL;DR: Data suggest that inhibiting glycolysis in human astrocytes reduces IL-1β-induced reactivity, which may lead to novel therapeutic strategies to limit inflammation and enhance bioenergetics toward the goal of preventing and treating neurodegenerative diseases.
Abstract: Therapeutic interventions are greatly needed for age-related neurodegenerative diseases. Astrocytes regulate many aspects of neuronal function including bioenergetics and synaptic transmission. Reactive astrocytes are implicated in neurodegenerative diseases due to their pro-inflammatory phenotype close association with damaged neurons. Thus, strategies to reduce astrocyte reactivity may support brain health. Caloric restriction and a ketogenic diet limit energy production via glycolysis and promote oxidative phosphorylation, which has gained traction as a strategy to improve brain health. However, it is unknown how caloric restriction affects astrocyte reactivity in the context of neuroinflammation. We investigated how a caloric restriction mimetic and glycolysis inhibitor, 2-deoxyglucose (2-DG), affects interleukin 1β-induced inflammatory gene expression in human astrocytes. Human astrocyte cultures were exposed to 2-DG or vehicle for 24 h and then to recombinant IL-1β for 6 or 24 h to analyze mRNA and protein expression, respectively. Gene expression levels of proinflammatory genes (complement component 3, IL-1β, IL6, and TNFα) were analyzed by real-time PCR, immunoblot, and immunohistochemistry. As expected, IL-1β induced elevated levels of proinflammatory genes. 2-DG reversed this effect at the mRNA and protein levels without inducing cytotoxicity. Collectively, these data suggest that inhibiting glycolysis in human astrocytes reduces IL-1β-induced reactivity. This finding may lead to novel therapeutic strategies to limit inflammation and enhance bioenergetics toward the goal of preventing and treating neurodegenerative diseases.
3 citations
TL;DR: In this article , a gait testing platform for deep learning neural network analysis of drug impact on Glut1-deficient mouse locomotion is presented. But, the method is limited to a G1D mouse model that replicates the ataxia and other manifestations cardinal to the human disorder.
Abstract: Metabolic flux augmentation via glucose transport activation may be desirable in glucose transporter 1 (Glut1) deficiency syndrome (G1D) and dementia, whereas suppression might prove useful in cancer. Using lung adenocarcinoma cells that predominantly express Glut1 relative to other glucose transporters, we screened 9,646 compounds for effects on the accumulation of an extracellularly applied fluorescent glucose analog. Five drugs currently prescribed for unrelated indications or preclinically characterized robustly enhanced intracellular fluorescence. Additionally identified were 37 novel activating and nine inhibitory compounds lacking previous biologic characterization. Because few glucose-related mechanistic or pharmacological studies were available for these compounds, we developed a method to quantify G1D mouse behavior to infer potential therapeutic value. To this end, we designed a five-track apparatus to record and evaluate spontaneous locomotion videos. We applied this to a G1D mouse model that replicates the ataxia and other manifestations cardinal to the human disorder. Because the first two drugs that we examined in this manner (baclofen and acetazolamide) exerted various impacts on several gait aspects, we used deep learning neural networks to more comprehensively assess drug effects. Using this method, 49 locomotor parameters differentiated G1D from control mice. Thus, we used parameter modifiability to quantify efficacy on gait. We tested this by measuring the effects of saline as control and glucose as G1D therapy. The results indicate that this in vivo approach can estimate preclinical suitability from the perspective of G1D locomotion. This justifies the use of this method to evaluate our drugs or other interventions and sort candidates for further investigation. SIGNIFICANCE STATEMENT There are few or no activators and few clinical inhibitors of glucose transport. Using Glut1-rich cells exposed to a glucose analog, we identified, in highthroughput fashion, a series of novel modulators. Some were drugs used to modify unrelated processes and some represented large but little studied chemical compound families. To facilitate their preclinical efficacy characterization regardless of potential mechanism of action, we developed a gait testing platform for deep learning neural network analysis of drug impact on Glut1-deficient mouse locomotion.
1 citations
TL;DR: In this paper , a 3 + 3 dose-finding approach was used to establish a maximum, potentially greater dose of triheptanoin for Glucose transporter type 1 deficiency encephalopathy (G1D).
Abstract: Augmentation of anaplerosis, or replenishment of carbon lost during intermediary metabolic transitions, is desirable in energy metabolism defects. Triheptanoin, the triglyceride of 7-carbon heptanoic acid, is anaplerotic via direct oxidation or 5-carbon ketone body generation. In this context, triheptanoin can be used to treat Glucose transporter type 1 deficiency encephalopathy (G1D). An oral triheptanoin dose of 1 g/Kg/day supplies near 35% of the total caloric intake and impacted epilepsy and cognition in G1D. This provided the motivation to establish a maximum, potentially greater dose. Using a 3 + 3 dose-finding approach useful in oncology, we studied three age groups: 4-6, 6.8-10 and 11-16 years old. This allowed us to arrive at a maximum tolerated dose of 45% of daily caloric intake for each group. Safety was ascertained via analytical blood measures. One dose-limiting toxicity, occurring in 1 of 6 subjects, was encountered in the middle age group in the context of frequently reduced gastrointestinal tolerance for all groups. Ketonemia following triheptanoin was determined in another group of G1D subjects. In them, β-ketopentanoate and β-hydroxypentanoate concentrations were robustly but variably increased. These results enable the rigorous clinical investigation of triheptanoin in G1D by providing dosing and initial tolerability, safety and ketonemic potential.ClinicalTrials.gov registration: NCT03041363, first registration 02/02/2017.
1 citations
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