Dantrolene: A Selective Ryanodine Receptor Antagonist, Protects Against Pentylenetetrazole-Induced Seizure in Mice.

Ryanodine receptor abnormalities has implicated in the generation and maintenance of seizure. Dantrolene, a selective ryanodine receptor antagonist, may be a potential drug for the prevention of seizure. Therefore, we aimed to clarify the protective effects of dantrolene against pentylenetetrazole seizure in mice. Male albino mice were received an intra-peritoneal injection of pentylenetetrazole (80 mg/kg) in seven separate groups (n=8). We used dantrolene (10,20 and 40 mg/kg), caffeine (200 mg/kg), dantrolene (40 mg/kg) + caffeine (200 mg/kg), diazepam (5 mg/kg as a positive control) and vehicle 30 minutes before the injection of pentylenetetrazole. Then, we registered the latency time of the first seizure, the severity of seizures and the incidence of seizure and death. Kruskal-Wallis test followed by Mann-Whitney and Fisher's exact test were used to analyze the data. Dantrolene (10,20 and 40 mg/kg) significantly increased the latency time for the first seizure. Furthermore, dantrolene (20 and 40 mg/kg, but not 10 mg/kg) attenuated the severity of seizures in comparison to the vehicle group. Moreover, dantrolene only at the dose of 40 mg/kg prevented from tonic-clonic seizure and death in comparison to the vehicle group. In contrast, the addition of caffeine abolished the protective effects of dantrolene on the tonic-clonic seizure/death and inhibited the beneficial effects of dantrolene on the severity of pentylenetetrazol seizures. The acute dantrolene administration produced an anticonvulsant effect in the pentylenetetrazole-induced seizure. Moreover, caffeine prevented from dantrolene anticonvulsant effects. These results may imply about ryanodine receptors and intracellular calcium roles in the generation and control of pentylenetetrazole seizure.

Unified model of brain tissue microstructure dynamically binds diffusion and osmosis with extracellular space geometry.

We present a universal model of brain tissue microstructure that dynamically links osmosis and diffusion with geometrical parameters of brain extracellular space (ECS). Our model robustly describes and predicts the nonlinear time dependency of tortuosity (λ=sqrt[D/D^{*}]) changes with very high precision in various media with uniform and nonuniform osmolarity distribution, as demonstrated by previously published experimental data (D = free diffusion coefficient, D^{*} = effective diffusion coefficient). To construct this model, we first developed a multiscale technique for computationally effective modeling of osmolarity in the brain tissue. Osmolarity differences across cell membranes lead to changes in the ECS dynamics. The evolution of the underlying dynamics is then captured by a level set method. Subsequently, using a homogenization technique, we derived a coarse-grained model with parameters that are explicitly related to the geometry of cells and their associated ECS. Our modeling results in very accurate analytical approximation of tortuosity based on time, space, osmolarity differences across cell membranes, and water permeability of cell membranes. Our model provides a unique platform for studying ECS dynamics not only in physiologic conditions such as sleep-wake cycles and aging but also in pathologic conditions such as stroke, seizure, and neoplasia, as well as in predictive pharmacokinetic modeling such as predicting medication biodistribution and efficacy and novel biomolecule development and testing.