NMD670 is a first-in-class inhibitor of skeletal muscle-specific chloride channel ClC-1, developed to improve muscle weakness and fatigue in neuromuscular diseases. Preclinical studies show that ClC-1 inhibition enhances muscle excitability, improving muscle contractility and strength. We describe the first-in-human, randomized, double-blind, placebo-controlled study, which evaluated the safety, pharmacokinetics, and pharmacodynamics of single and multiple doses of NMD670 in healthy male and female subjects.
View Article and Find Full Text PDFCurrent anti-epileptic drugs lack efficacy, cause many side effects and one third of all patients are treatment-resistant. Drugs targeting the sphingosine-1-phosphate receptor show potential anti-convulsant effects in animal models and decrease cortical excitability in patients with multiple sclerosis, but available compounds alter lymphocyte trafficking and cause immunosuppression, limiting their clinical anti-epileptic potential. TRV045 is a selective sphingosine-1-phosphate subtype 1 receptor agonist without effects on lymphocyte trafficking, demonstrating efficacy in animal models of epilepsy, with the potential to target abnormal cortical excitability.
View Article and Find Full Text PDFMyasthenia gravis (MG) is a neuromuscular disease that results in compromised transmission of electrical signals at the neuromuscular junction (NMJ) from motor neurons to skeletal muscle fibers. As a result, patients with MG have reduced skeletal muscle function and present with symptoms of severe muscle weakness and fatigue. ClC-1 is a skeletal muscle specific chloride (Cl) ion channel that plays important roles in regulating neuromuscular transmission and muscle fiber excitability during intense exercise.
View Article and Find Full Text PDFIntestinal parasites are responsible for several diseases in human beings. In order to eliminate the error-prone visual analysis of optical microscopy slides, we have investigated automated, fast, and low-cost systems for the diagnosis of human intestinal parasites. In this work, we present a hybrid approach that combines the opinion of two decision-making systems with complementary properties: (DS) a simpler system based on very fast handcrafted image feature extraction and support vector machine classification and (DS) a more complex system based on a deep neural network, Vgg-16, for image feature extraction and classification.
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