摘要:
The invention relates to an enteric-coated capsule containing cationic nanoparticles for oral insulin delivery, in particular to a type of cationic nanoparticle including a polycationic and mucoadhesive polymer and a biodegradable polymer, wherein each of the nanoparticles has positive surface charge and enhanced permeability for paracellular insulin delivery; the enteric-coated capsule further includes a pH-sensitive polymer as the coating. The enteric-coated capsule containing cationic nanoparticles, when being orally administered to a subject, are configured to prevent the acidic degradation of the active substance such as insulin before being released from said cationic nanoparticles to a specific absorption site along the gastrointestinal tract.
摘要:
The present invention discloses the pH-sensitive nanoparticles composed of pH-sensitive polymer, hydrophobic material, internal stabilizer, external stabilizer content and insulin drug. The present invention also includes a method for preparation of pH-sensitive nanoparticles, in particular, a multiple emulsions solvent evaporation method. The pH-sensitive nanoparticles of the present invention show good pH-sensitive property with 100-300 nanometer particle size. Significant decrease in blood glucose level is observed in streptozotocin (STZ)-induced diabetic rats and the bioavailability of insulin is more than 10% after oral administration of the insulin-loaded pH-sensitive nanoparticles.
摘要:
A dashboard user interface method includes displaying a navigable list of patients each associated with a target disease with a calculated risk level, displaying historic and current data associated with a selected patient in the patient list identified as being associated with the target disease, displaying an identification of key factors in the selected patient's health data that contribute to the risk level for the selected patient with respect to the target disease, receiving and displaying care management notes for transitional care intervention for the selected patient, and displaying automatically-generated intervention and treatment recommendations.