Influences of different sugar ligands on targeted delivery of liposomes

Ligands are an important part of targeted drug delivery systems. Optimised lignads not only improve the target efficiency, but also enhance therapeutical effect of drugs. In our research, five sugar molecules (Mannose, Galactose, Glucose, Malt disaccharide, and Maltotriose) conjugated PEG₆₀₀-DSPE were synthesised, of which polysaccharides were first discovered by us as sugar ligands to modify liposomes, which interacts with over expressive GLUT on cancer cells. DiO was encapsulated as fluorescent probe to evaluate their cellular uptake abilities of targeting C6 glioma cells, and the distribution in different visceral organs of rats. The results demonstrated that Malt disaccharide and Glucose-PEG₆₀₀-DSPE had the strong efficiency of cellular uptake by C6 glioma cells. The distribution and accumulation of liposomes showed that different sugars modified liposomes could target different visceral organs in rats. It has provided a novel idea for ligand selectivity and optimisation of nanocarriers for tumour targeted therapy.

Who benefits most in disease management programs: Improving target efficiency

Disease management programs aim to reduce cost by improving the quality of care for chronic diseases. Evidence of their effectiveness is mixed. Reducing health care spending sufficiently to cover program costs has proved particularly challenging. This study uses a difference in differences design to examine the impact of a diabetes disease management program for high risk patients on preventive tests, health outcomes, and cost of care. Heterogeneity is examined along the dimensions of severity (measured using the proxy of poor glycemic control) and preventive testing received in the baseline year. Although disease management programs tend to focus on the sickest, the impact of this program concentrates in the group of people who had not received recommended tests in the preintervention period. If confirmed, such findings are practically important to improve cost-effectiveness in disease management programs by targeting relevant subgroups defined both based on severity and on (missing) test information.