Active clinical trials for "Diabetes Mellitus, Type 2"

This protocol reflects the first part of a larger mixed-methods study aimed at exploring the process by which global recommendations can be translated into context-specific, evidence-informed action for diabetes prevention in low-resource settings. The CEAD project will be carried out in 2 low-resource settings in Ecuador. Here, in recognition that rigorous epidemiological data on diabetes risk and morbidity is needed to explore applicability of potential actions, the investigators will undertake 2 representative cross-sectional population survey using geospatial sampling. We will collect dat by interview in the homes of the participants using WHO STEPS questionnaires and measure participants' physical and biological parameters.

Epidemiologic studies have revealed a tremendous increase in the prevalence of diabetes and related mortality worldwide. In order to meet all the challenges in the treatment of metabolic diseases in China, the National Metabolic Management Center (MMC) was founded in 2016. The objective of the MMC is to launch a new metabolic disease management model based on the Internet health information platform. It allows the application and evaluation of diabetes treatment strategies at these centers. The proprietary electronic medical database in the MMC will help the dynamic big-data analysis in diabetes epidemiology, prevention, diagnosis, and treatment. It will also provide prospective data support including economic evaluation in management of chronic diseases for the Healthy China 2030 strategy. Objective The purpose of the present study is to establish a multi-center nationwide prospective database of diabetes patients in MMCs, including clinical data, biological samples library so as to explore the epidemiology, genetics, new biomarkers, risk factors, and prognostic methods related to diabetes and its complications, as well as other metabolic diseases. To collect cross-sectional data from patients seen and treated at each MMC centers so as to evaluate: the current status of care of patients with diabetes and its related complications, as well as other risk factors treatment strategies at these centers. Patients'costs and quality of life (QoL) will also be evaluated. To collect the prospective data of patients treated at each MMC centers in order to evaluate the strategies for the achievement of treatment goals, changes in management, control of risk factors, incidence and progression of all-diabetes related clinical endpoints (including mortality), behavioral changes, psychological well being as well as costs and QoL.

The purpose of this study is to examine how the timing of eating changes how the body makes and uses energy (metabolism). This study will also examine if metabolism changes with age.

Therapeutic Confirmatory Study to Evaluate the Efficacy and Safety of DWP16001 in Combination with Metformin in Patients With Type 2 Diabetes Mellitus who Have Inadequate Glycemic Control on Metformin Alone.

Sodium glucose co-transporter 2 (SGLT2) inhibitors have revolutionized care for people living with type 2 diabetes mellitus (T2DM). They reduce a person's risk of heart failure, renal failure, myocardial infarction, stroke, cardiovascular mortality, and potentially all-cause mortality. Remarkably, some of these benefits also extend to people who do not have T2DM. While the benefits of SGLT2 inhibitors are impressive, there is one life-threatening side effect associated with their use: diabetic ketoacidosis (DKA). The ability to predict which patients are at highest risk of DKA is needed to sufficiently mitigate this risk. Moreover, considering the impressive benefits of SGLT2 inhibitors, identifying patients at the lowest risk of SGLT2 inhibitor-associated DKA is also important so that providers do not overestimate risk in those who stand to benefit most. Advances in genomic technologies and related analyses have provided unprecedented opportunities to bring genomics-driven precision medicine initiatives to the forefront of clinical research. Leading these developments has been the progress made by genome-wide association studies (GWAS) due to decreasing genotyping costs, and consequently, the ability to routinely study large numbers of patients. These approaches allow for systematic screening of the genome in an unbiased manner and have accelerated the discovery of genetic variants and novel biological processes that contribute to the development of adverse treatment outcomes. By using innovative approaches, which harness large cohorts of population controls, sample size limitations that are associated with rare adverse drug reactions such as SGLT2 inhibitor-associated DKA can be overcome. The DANGER study represents a highly innovative new direction wherein partnership among basic science researchers and computational biologists will lead to the application of genomic techniques to identify genetic variants that may be associated with SGLT2 inhibitor-associated DKA.

Type 2 diabetes is a risk factor of heart failure and cognitive decline. Heart failure at its early stage is often silent. At present, primary prevention for heart failure is not available. Our aim is to identify diabetic patients at risk of heart failure in order to develop personalized preventive strategies. Type 2 diabetes is vascular and metabolic risk factor for cognitive decline though a direct lesional effect but also through an interaction with underlying neurodegenerative lesions. Our aim is to identify diabetic patients at risk of cognitive decline in order to develop personalized preventive strategies

It is now well documented that changes in gut microbiota composition accompany obesity and type 2 diabetes (T2D) and contribute to low-grade inflammation, insulin resistance,and glucose intolerance. It is not yet clear if T2D predisposes the intestine to allow more microbial products or possibly live bacteria to subvert the gut mucosal barrier. However, it is known that hyperglycemia during T2D induces a more permissive gut barrier allowing increased penetration of microbes and their products into the blood. An important next step is to determine which strains of bacteria promote dysbiosis, allowing bacteria or bacterial components to subvert the gut barrier and alter glucose control. It is hypothesized that gut microbes in the colon and other lower gut segments are key modulators of energy balance, glucose homeostasis and insulin sensitivity.

This study aims to develop and implement a long-term program focused on the prevention of type 2 diabetes Mellitus (T2DM) and gestational diabetes mellitus (GDM) in women of reproductive age through lifestyle modification. This is a cluster-randomized trial whereby 6 health centers across Kisantu, Democratic Republic of Congo (DRC) will be randomized to an intervention group (3 health centers) or a comparison group (3 health centers). The intervention group will be provided with a preventive program based on educational + motivational strategies when the comparison group will be limited to an educational strategy only. This study will last 24 months and is limited to women of reproductive age (18-49 years), pregnant and non-pregnant. Evaluation of this research will use mixed longitudinal analyses for healthy lifestyle adherence, anthropometric and clinical indicators, diet quality, and physical activity. Expected results of this study for women of reproductive age include the prevention of T2DM and GDM through the acquisition of healthy lifestyle behavior, reaching and maintaining an optimal weight, blood pressure and glycemia, and adhere to the weight gain recommendations during pregnancy. Other expected achievements encompass improvements in the usability of data capturing systems, expand knowledge among health care providers on effective strategies for T2DM and GDM prevention and improve the technique and precision of measurements concerning health visits among health care providers, among others.

For a long time, no direct connection was seen between the two common diseases diabetes mellitus and osteoporosis. However, as more and more younger people are affected by obesity, develop type 2 diabetes mellitus and suffer osteoporotic fractures, the question of a connection between these clinical pictures has now arisen. Modern magnetic resonance imaging and spectroscopy techniques allow detailed and non-invasive characterization of bone marrow in different body regions. Low body weight (BMI<20kg/m²) has been shown to be associated with decreased bone density, while obesity has long been associated with high cortical bone mass - the idea of bone health. It has now been proven that obesity also has a negative effect on bone structure. Here, it is not only BMI that is crucial, but also the localization of fat tissue in the body. Visceral fat has a directly damaging effect on bone microarchitecture through dysregulated production and release of cytokines and adipokines. Thus, it has been shown that both type 1 and type 2 diabetic patients have a decreased rate of bone remodeling and very obese patients with type 2 diabetes have an increased risk of fracture. It must be concluded that body weight, or BMI, cannot be the sole measure for estimating bone health. Thus, type 2 diabetes shows reduced bone remodeling with normal or slightly increased bone density, but inferior stability. This means that type 2 diabetes is associated with an increased risk of osteoporotic fracture, even when bone density measurements are unremarkable. Loss of trabecular bone structure in red (hematopoietic) bone marrow is also characterized by increasing infiltration of the bone marrow space with fat cells (bone marrow adipose tissue). In contrast, the yellow bone marrow, which is mainly present in the diaphysis of tabular bones, has particularly large amounts of fat incorporated into the reticulum cells. For a long time, only the role of "placeholder" was attributed to these fat cells, but it has been shown that they interact with other cells via the production of autocrine, paracrine and endocrine hormones and cytokines, or adipokines, and are thus related to the metabolic state of the entire body. A basic assumption here is that the amount of unsaturated fatty acids in the adipose bone marrow is an important and functional marker for different types of adipocytes. It has been shown that 3 individuals with poorer insulin sensitivity have more unsaturated fatty acids in yellow bone marrow. Thus, the concept of different types of adipocytes in the bone marrow, with their inherent different fatty acid composition could serve to reconcile the at first glance counterintuitive physiological regulation of bone marrow fat and its response to metabolic perturbations. In order to show whether and how the composition of the yellow (unsaturated fatty acids) and red (bone marrow adipose tissue) bone marrow differs in healthy individuals, individuals with impaired insulin sensitivity in different age groups and patients with type 2 diabetes, and whether this can be used to detect early changes in the bone matrix with regard to bone density, the proportion of bone marrow adipose tissue in the red bone marrow at different locations in the skeleton will be quantified by means of chemical-shift-selective MRI sequences as well as the composition of bone marrow fat in the yellow bone marrow with regard to the proportions of monounsaturated and polyunsaturated fatty acids by means of volume-selective MRS. A total of 96 healthy volunteers (48 each male and female) aged 25 to 75 years and with body mass index between 18.5 and 35 kg/m² will be included. In addition, 24 patients (12female/12male) with type 2 diabetes will be recruited. After magnetic resonance examination, anthropometric and metabolic characterization (oral glucose tolerance test) will take place.

The goal of this observational study is to create and evaluate and new management, by using eHealth tools, to prevent diabetic foot ulcers. The main questions it aims to answer are: Validation a. Is a method for foot assessment, that uses eHealth tools, valid regarding its usefulness? b. Is a method for foot assessment, that uses eHealth tools, reliable regarding the generated risk stratification? Mapping How do health care professionals and patients with diabetes experience that the future foot examination should be designed? What experiences have health care professionals and patients with diabetes to use an eHealth tool supporting the annual foot examination? Interviews - to use a paper format supporting a structured foot assessment a. How do health care professionals experience to use a structured foot form, in paper form? Interviews - footwear a. What factors that influence how patients with diabetes choose their footwear? Interviews - usability test of using an eHealth tool a. How could a digital eHealth tool be designed? b. How could a digital eHealth solution be implemented, managed and spread in public health care setting? i. Participants will: 1. fill in questionnaires 2. be interviewed 3. test eHealth solutions supporting the foot examination 6. Experiences of using an eHealth tool supporting the foot assessment a. How could a digital eHealth tool be designed? 7. Questionnaires regarding self-perceived quality of life, the experiences of the visit at the care unit, transportation to the care unit. a. Patients that visits care fills in a questionnaire regarding self-perceived quality of life (EQ-5D), a modified version of National Patient Survey, the diabetes questionnaire and a questionnaire regarding their travels and time for travels to and from the visit to the care unit. 8. Critical evaluation of complexity Exists complexity in the development, test, management, spread and sustain of an eHealth tool supporting foot examination and self-care of the feet in diabetes. How could a digital eHealth solution be implemented, managed and spread in public health care setting? 9. Long term effect a. What is the long-term effect of using an eHealth tools supporting a structured foot examination?