View clinical trials related to Type 2 Diabetes.
Filter by:This clinical trial aims to evaluate the educational training of 12-weeks using flash glucose monitoring (FGM) FreeStyle Libre2 (FSL2; Abbott Diabetes Care Inc., Alameda, CA, USA) in newly- diagnosed T2D subjects who are treated with metformin in term of sustained improvement in glycemic variability (TIR) after the discontinuation of FGM compared to self-monitoring of blood glucose (SMBG). This clinical trial also aim to explore which frequency of sensor wear at the diagnosis is more effective in achieving a sustained improvement in TIR after the FGM discontinuation over time.
The goal of this clinical trial is to evaluate the intervention effects on blood sugar levels using an AI diet app for personalized meal control and the continuous glucose monitoring system (CGMS) in patients with type 2 diabetes (T2D) The main questions it aims to answer are: 1. Effect of glycemic control on hemoglobin A1c (HbA1c) in T2D patients through continuous glucose monitoring system (CGMS) 2 Effect of blood sugar management intervention using AI diet app ◎ Research method <study arms> - Negative Control group (NC) 20 people (*24 people) checking only hemoglobin A1c (HbA1c) three times (at the beginning of the study, after the 1st 12 weeks, and then after the 2nd 12weeks) - Positive control group (PC) 30 people (*36 people) wearing the CGMS patch for 12 weeks and checking HbA1c three times - Intervention group (IG) 30 people (*36 people) using CGMS patch for diabetes, AI diet app, and checking HbA1c three times (* Actual number of recruits considering dropout) This study's aim is to identify dietary factors for each patient that can affect blood sugar control based on the Continuous Glucose Monitoring System (CGMS) in patients with T2D and to personalize the amount and type of meal intake. It is planned to confirm the effect of blood sugar control intervention through a nutrition counseling coaching system. The sex-stratified random assignment method was used to recruit 20, 30, and 30 study participants in the control group (negative), control group (positive), and intervention group, respectively. Namely, each study group is allocated according to the endocrinology department visiting patients, so the ratio of participants by gender is similarly allocated. The group allocation of subjects uses a double-blind method in which a researcher who is not at all related to research planning, analysis, and interpretation of results assigns subjects according to random sampling numbers.
The primary scientific question of this proposal is to investigate whether youth with T2D will wear and interact with a continuous glucose monitor (CGM) system and whether this will influence behavior and management decisions. There will be 30 participants enrolled in the study. 20 in the treatment arm and 10 in the control. The length of study participation will be 6 months for each participant.
This study is being done to evaluate how a ketone ester (KE) beverage affects heart function and health in people with heart failure compared to a placebo beverage (a beverage made with standard food ingredients that do not contain ketone esters).
Healthy nutrition habits are key to managing type 2 diabetes (T2D). However, American Indian and Alaska Natives (AI/ANs) often lack access to culturally relevant nutrition education and they disproportionately experience food insecurity. Food insecurity, defined as lack of consistent access to enough food for an active, healthy life, negatively impacts one's ability to engage in diabetes self-management and care. The purpose of this study is to evaluate if diabetes nutrition education and an added food security resource, such as farmers market vouchers for fruits and vegetables, can improve diabetes self-management for AI/ANs with T2D. Researchers will work with collaborators at the Oklahoma City Indian Clinic in Oklahoma City, OK, and an American Indian community advisory board (CAB) throughout the study to ensure the nutrition education and food security resources are designed to meet the needs of the community and clinic. With the guidance of the CAB, researchers will recruit adults with T2D to participate in a 3-month intervention. Participants will be randomized into one of 3 groups. Some people will have diabetes nutrition education and the food security resource, some will have only the diabetes nutrition education, and some will receive only the food security resource. Outcomes such as food security status and clinical diabetes health indicators will be measured at 5 timepoints. This intervention is significant to diabetes because AI/ANs experience diabetes health disparities and the combination of diabetes nutrition education plus an added food security resource could help decrease T2D complications and improve quality of life for AI/ANs.
The purpose of this clinical research study is to evaluate the feasibility of the GT Metabolic Solutions Magnet System, GJ Biofragmentable ("MagGJ System") for creation of a side-to-side anastomosis for gastro-ileal or gastro-jejunal diversion in obese adults.
The aim of this study is to evaluate the effect of vildagliptin on copeptin in comparison to glimepiride, and whether copeptin could be used as a marker for the efficacy of vildagliptin in type 2 diabetes mellitus patients, and how copeptin correlates with other diabetic and cardiac markers.
Diabetes mellitus (DM) is an epidemic disease, with approximately 463 million persons diagnosed with it. Of those, 90% are patients with type 2 DM (T2DM). Some estimates indicate that 700 million cases of DM will be reported in 2045. T2DM develops due to insulin resistance, leading to reduced insulin secretion. DM has a number of associated complications, such as nephropathy, neuropathy, and cardiovascular disease.
The investigator recently showed that the glycan-binding adipokine galectin-1 increased during overfeeding and that galectin-1 independently could predict type 2 diabetes. Further, the molecules that induce insulin release in the fasting state when blood glucose is normal remain elusive. It is possible that galectin-1 is involved in adaptive mechanisms in adipose tissue in obese subjects.
Postprandial glycemia (PPG) is a relevant determinant of glucose control in people with type 2 diabetes (T2D). Epidemiological and pathophysiological studies indicate that PPG is a better risk predictor for cardiovascular disease and all-cause mortality than fasting plasma glucose. Therefore, both fasting and postprandial glycemia should be targeted to achieve optimal glycemic control and, thus, prevent or reduce the risk of diabetes complications. Post-prandial glucose response (PGR) cannot be predicted based solely on the meals' carbohydrate content. Recent research using continuous glucose monitoring (CGM) systems has identified different patterns of PGR to a standard meal among both healthy people and individuals with type 1 diabetes. Different contributors to the PGR have emerged, including genotype, hormonal and metabolic factors, phenotype, gut microbiota composition, background diet, sleep habits, physical activity levels. The present project aims at exploring the PGR in a real-life setting in a cohort of people with T2D, and identifying person-specific factors associated with different postprandial glucose patterns. To this purpose, 144 individuals with T2D on treatment with diet alone or diet plus metformin will be characterized for their anthropometric, metabolic, and gut-microbiome features and will undergo a one-week observational period through CGM system, while properly recording their food intake, physical activity, and sleep habits. A mixed-nutrient standardized meal will be consumed at home in two occasions by each participant to investigate the intra-individual variability of the PGR. Moreover, in a subgroup of participants (n=60), divided according to anthropometric and metabolic features, hormonal and metabolic response to the standardized meal will be evaluated at the hospital, to explore the contribution of different T2D phenotypes to the PGR. A further step will be developing a prediction algorithm of PGR based on the intra- and inter-individual factors shown to influence postprandial glucose, able to further optimize the management of T2D with precision therapeutic strategies.