Zhejiang Gongshang University

About: Zhejiang Gongshang University is a education organization based out in Hangzhou, China. It is known for research contribution in the topics: Adsorption & Supply chain. The organization has 8258 authors who have published 7670 publications receiving 90296 citations. The organization is also known as: Zhèjiāng Gōngshāng Dàxué.

Research progress on liposomes: Application in food, digestion behavior and absorption mechanism

Abstract: Background The application of liposomal system in food area allowing carried and controlled bioactive-molecules release has been considered one of the main strategies used to improve nutrients stability, to increase individualized absorptivity, and to enhance quality-of-food. Scope and approach The preparation methods including traditional and novel technologies and formation mechanism of liposomes are reviewed. Then we discuss how liposomes are designed and applied to alter properties for food quality improvement and nutrient-modification in dairy, beverages, meat and other products. Besides, the changes in liposomal structure and molecules bioavailability within the gastrointestinal tract, along with the cell uptake pathways of liposomes, generally employed adhesion, fusion, endocytosis, lipid exchange, and its relevant factors are emphasized. Key findings and conclusions So far, a rapidly increased achievement of liposomes in food science and nutraceuticals has already gained, and the digestion behavior and the followed absorption mechanism have been explored. For further successful development and wide use of liposomes, promising preparation approaches and safe formula in future study on food must be exploited, albeit with designing the efficacious and targeted deliver in human body.

Mathematical and Computational Modeling in Complex Biological Systems

Abstract: The biological process and molecular functions involved in the cancer progression remain difficult to understand for biologists and clinical doctors. Recent developments in high-throughput technologies urge the systems biology to achieve more precise models for complex diseases. Computational and mathematical models are gradually being used to help us understand the omics data produced by high-throughput experimental techniques. The use of computational models in systems biology allows us to explore the pathogenesis of complex diseases, improve our understanding of the latent molecular mechanisms, and promote treatment strategy optimization and new drug discovery. Currently, it is urgent to bridge the gap between the developments of high-throughput technologies and systemic modeling of the biological process in cancer research. In this review, we firstly studied several typical mathematical modeling approaches of biological systems in different scales and deeply analyzed their characteristics, advantages, applications, and limitations. Next, three potential research directions in systems modeling were summarized. To conclude, this review provides an update of important solutions using computational modeling approaches in systems biology.