View clinical trials related to Glucose Metabolism Disorders.
Filter by:The glycemic index is the ability of carbohydrates in foods to induce increases in blood glucose levels after consuming them. Based on the capacity for increasing blood glucose levels, foods can be classified as having a low, medium, or high glycemic index. This property is of interest in health and nutrition because it allows estimating the impact the food will have on postprandial glycemia, which may able better food selection in situations where adequate glycemic control is required, such as in individuals diagnosed with Diabetes Mellitus. The objective of this study is to determine the glycemic index of 9 formulations of complete oral nutrition supplements and classify them based on their glycemic response.
Investigating the effect of oxytocin on pancreatic endocrine functions by determining insulin and glucagon secretion within physiological ranges of plasma glucose.
The goal of this clinical trial is to clarify (i) the contribution of brain insulin action on regulation of systemic metabolism, (ii) sex-specific differences in the central regulation and (iii) the influence of the menstrual cycle in women. Therefore, participants will undergo oral glucose tolerance tests combined with a double tracer dilution technique. This approach will be compared between days with insulin delivery to the brain as nasal spray and days with placebo spray.
This study will investigate the biological mechanisms linking sleep disruption by vibration and noise, and the development of cardiometabolic disease. In a laboratory sleep study, the investigators will play railway vibration of different levels during the night. The investigators will also measure objective sleep quality and quantity, cognitive performance across multiple domains, self-reported sleep and wellbeing outcomes, and blood samples. Blood samples will be analyzed to identify metabolic changes and indicators of diabetes risk in different nights. Identifying biomarkers that are impacted by sleep fragmentation will establish the currently unclear pathways by which railway vibration exposure at night can lead to the development of diseases in the long term, especially metabolic disorders including diabetes.
There is well documented evidence that ingesting dietary carbohydrate in large amounts tends to increase postprandial glucose. In healthy populations, this is not necessarily a problem, but continuous exposure to high levels of glucose-hyperglycemia-is a defining characteristic and risk factor for type 2 diabetes mellitus. Consuming a carbohydrate-rich food as the final food in a meal sequence has been shown to significantly reduce postprandial glucose excursions in both diabetes patients and in healthy controls. The exact mechanisms behind this phenomenon are not well understood, but one proposed course is simply that the vegetable and protein already being digested slows the rate of glucose rise. Despite the findings, little-to-no research has examined how manipulating the order of foods in a meal impacts subsequent exercise responses. In this experimental crossover study, each participant will undergo two acute feeding conditions (carbohydrate-rich foods first vs. last in a meal), which will be followed by exercise 60 minutes later. We will observe the effects of meal order on postprandial glucose, substrate/fuel utilization, and subjective perceptions at rest and during 30 minutes of exercise.
The use of continuous glucose monitoring (CGM) in earlier data has inspired behavioral changes leading to improved adherence to an exercise plan in individuals and eating habits in people with diabetes. Mobile health (mHealth) platforms provide satisfactory, easy-to-use tools to help participants in the pursuit of weight change goals. We hypothesize that the use of CGM data and the Signos mHealth platform will assist with weight control in a population of people with type 2 diabetes mellitus who are not using insulin.
The purpose of this study is to analyze the effects of GLP-1RA on blood glucose, body weight, glucose and lipid metabolism and fat distribution in overweight/obese patients with type 2 diabetes mellitus.
The aim of this study is to determine the relationship between diets of children with cystic fibrosis and glycemic responses and some inflammatory markers.
This is a 26-week randomized, free-living, open-label, two-arm, two-phase, crossover trial. Participants will receive two interventions at different phases, including the Android artificial pancreas system(AndroidAPS-rt-CGM) and sensor-augment pump(SAP), and use marketed rapid-acting insulin analogs (insulin Aspart, insulin Lispro, or insulin Glulisine) normally used in their usual clinical care. The safety and efficacy of AndroidAPS-rt-CGM and SAP in adult T1DM with suboptimal glycemic control will be compared to explore whether the use of AndroidAPS-rt-CGM in adult T1DM with suboptimal glycemic control will be associated with better glycemic control with no increased hypoglycemia.
Overnight on-call schedules can impact sleep, wellbeing, and alertness, which can be detrimental on the performance, physical and mental health of residents. Moreover, rotating shift work may have a long-term negative health impact (e.g. increased risk of diabetes). Within the National University Hospital (NUH), two different systems of rotating on-call schedules are implemented. In the night float system, residents work from 8 pm to 8 am for 5 - 7 consecutive nights once every month, compared to the traditional overnight on-call system, where each resident is on call for 4-6 nights per month (7 am - 5 pm, followed by overnight call until 8 am the next morning). The aim of the current study is to track sleep, wellbeing, and glucose metabolism during the different phases of the night float and traditional on-call schedules.