Search Results (3)

Iminosugars have a carbohydrate-like backbone in which the ring oxygen is replaced by nitrogen. They are naturally found in foods such as rice, buckwheat, mulberries, and fermented vegetables, and are reported to exert anti-hyperlipidemic and anti-hyperglycemic effects due to the inhibition of cellular glycosidases. This mechanism suggests their potential role in cancer treatment and prevention. In this study, two natural iminosugars, D-fagomine (FGM) and 1-deoxynojirimycin (DNJ), and their synthetic derivatives were screened for potential anticancer properties using Caco-2 and HCT-116 cells as models for the early and late stages of colon cancer, respectively. Iminosugars were found to decrease cell viability, with effects varying based on the type of iminosugar, cell type, growth condition (glucose concentration), exposure time (1 vs. 13 days), and tissue architecture (monolayer vs. spheroid). The combined use of innovative techniques, such as IncuCyte^® live cell imaging and Seahorse real-time cellular metabolic analysis, and microscopic observation after staining enabled us to detect changes in substrate utilization for energy metabolism, including increased glycolysis and alterations in lipid and glycogen stores. The evidence that iminosugars, both natural and synthetic, influence cellular bioenergetics paves the way for their potential use in various applications, including cancer treatment. Full article

The achievement of the carbon peaking and carbon neutrality targets requires the adjustment of the energy structure, in which the dual-carbon progress of the power industry will directly affect the realization process of the goal. In such terms, an accurate demand forecast is imperative for the government and enterprises’ decision makers to develop an optimal strategy for electric energy planning work in advance. According to the data of the whole social electricity consumption in Jiangsu Province of China from 2015 to 2019, this paper uses the improved particle swarm optimization algorithm to calculate the fractional-order r of the FGM (1, 1) model and establishes a metabolic FGM (1, 1) model to predict the whole social electricity consumption in Jiangsu Province of China from 2020 to 2023. The results show that in the next few years the whole social electricity consumption in Jiangsu Province will show a growth trend, but the growth rate will slow down generally. It can be seen that the prediction accuracy of the metabolic FGM (1, 1) model is higher than that of the GM (1, 1) and FGM (1, 1) models. In addition, the paper analyzes the reasons for the changes in the whole society electricity consumption in Jiangsu Province of China and provides support for government decision making. Full article

In people with type 1 diabetes mellitus (T1DM), obtaining good glycemic control is essential to reduce the risk of acute and chronic complications. Frequent glucose monitoring allows the adjustment of insulin therapy to improve metabolic control with near-normal blood glucose concentrations. The recent development of innovative technological devices for the management of T1DM provides new opportunities for patients and health care professionals to improve glycemic control and quality of life. Currently, in addition to traditional self-monitoring of blood glucose (SMBG) through a glucometer, there are new strategies to measure glucose levels, including the detection of interstitial glucose through Continuous Glucose Monitoring (iCGM) or Flash Glucose Monitoring (FGM). In this review, we analyze current evidence on the efficacy and safety of FGM, with a special focus on T1DM. FGM is an effective tool with great potential for the management of T1DM both in the pediatric and adult population that can help patients to improve metabolic control and quality of life. Although FGM might not be included in the development of an artificial pancreas and some models of iCGM are more accurate than FGM and preferable in some specific situations, FGM represents a cheaper and valid alternative for selected patients. In fact, FGM provides significantly more data than the intermittent results obtained by SMBG, which may not capture intervals of extreme variability or nocturnal events. With the help of a log related to insulin doses, meal intake, physical activity and stress factors, people can achieve the full benefits of FGM and work together with health care professionals to act upon the information provided by the sensor. The graphs and trends available with FGM better allow an understanding of how different factors (e.g., physical activity, diet) impact glycemic control, consequently motivating patients to take charge of their health. Full article