Carbohydrate Beta Cell Function and Glucose Control in Children With Diabetes
Diabetes MellitusType 1The goal of this clinical trial is to test the effects of a ketogenic diet on the progression and control of type 1 diabetes in children with newly diagnosed diabetes. The main questions to answer are: Does a ketogenic diet prolong the honeymoon period of type 1 diabetes? Does a ketogenic diet improve diabetes control? Is a ketogenic diet safe, acceptable and sustainable in children with newly diagnosed diabetes? What are the microbiome, inflammatory and metabolic changes linking diet to β-cell function? Participants will receive a combination of free meals, groceries, micronutrient supplements, and intensive diet and diabetes education for 9 months. Diabetes care devices will be connected for cloud-based data collection. Bi-weekly data downloads and remote check-ins will assess dietary intake, satisfaction with diet and study procedures, and possible safety concerns. During five study visits held at at baseline, 1, 5, 9 and 21 months, an intravenous catheter (IV) will be placed for collection of 5 blood samples before and up to 2 hours after a liquid test meal (protein shake) to assess insulin response. A stool sample will also be collected to assess microbiome changes. Children and their caregivers will participate in focus groups, semi-structured interviews, and online questionnaires to assess their experience with the diet and diabetes care, general well-being and quality of life. Comparison will be made between a ketogenic vs standard diet.
Quantifying Artificial Pancreas-related Changes in Diabetic Neuropathy
Diabetes ComplicationsDiabetes Mellitus2 moreA complication of diabetes mellitus is damage to nerves called neuropathy. There are several mechanisms involved that will lead to the development of neuropathy. Neuropathy can lead to foot ulcers, infections and amputations. Patients with neuropathy may also experience pain, which can be difficult to control and the medications are limited by side effects. Despite this there are no approved treatments to reverse the progression of neuropathy and the management of patients is focused on controlling blood glucose and other metabolic factors to prevent neuropathy and its symptoms from getting worse. Patients with type 1 diabetes are prescribed multiple daily injections (MDI) of insulin to manage their glucose control. However, insulin pump therapy and, more recently, automated insulin delivery (AID) or the Artificial Pancreas can be used as the insulin delivery method for patients with type 1 diabetes mellitus. Manchester Diabetes Centre is the first adult diabetes centre in Europe to pioneer and use a commercially-approved AID in clinical practice. Insulin pump therapy and AID have the advantage of being able to provide insulin at variable doses, which is closer to the natural process occurring within an individual without diabetes. Both are currently considered to be the most physiological method of insulin delivery and have been shown to improve glycaemic control, quality of life (QOL) and reduce the risk of hypoglycaemia (low blood glucose level). The investigators have previously shown in a small group of people that use of an insulin pump therapy may improve symptoms of painful neuropathy via a more stable glucose profile. The peaks and drops in insulin may make neuropathy worse. In this study the investigators aim to investigate the use of insulin pump therapy and AID in their effect on neuropathy. This will be in comparison to a control group of patients on MDI. The investigatorsbwill use a variety of neuropathy measures and symptom questionnaires to assess structural and functional neuropathy status. The investigators hypothesise that those patients receiving the newer technologies will demonstrate an improvement in symptoms and nerve regeneration. This finding would have a significant impact for patients as it would provide evidence to suggest that those patients with neuropathy should be put onto an insulin pump or AID to improve neuropathy and its symptoms. As these are treatments that are already available on the NHS to patients satisfying specific criteria this study aims to show benefit in this cohort of patients which can be implemented immediately in clinical practice.
Chinese Alliance for Type 1 Diabetes Multi-center Collaborative Research
Type 1 Diabetes MellitusThe China Alliance for Type 1 Diabetes (CAT1D) is committed to exploring and implementing the model of graded diagnosis and treatment of type 1 diabetes and comprehensive management of outpatient service, carrying out a series of educational activities for patients, and cooperating in the development of multi-center prospective clinical research on type 1 diabetes.
Recurrent Hypoglycemia in Type 1 Diabetes (Aim 2)
Diabetes MellitusType 1This study will explore the cerebral mechanisms of impaired awareness of hypoglycemia (IAH) in type 1 diabetics following exposure to experimental recurrent hypoglycemia (HG). To induce IAH, patients with T1D identified to have normal awareness of hypoglycemia (NAH) will undergo three 2-hour long hypoglycemic clamps. Neurochemical profiles will be measured by high field MRS before and after induction of IAH. Subject glycemic variability and activity/sleep for 1 week before each study will be monitored as all factors have been shown to alter responses to HG.
China Diabetes Registry by Metabolic Management Center
Type 2 Diabetes MellitusType1 Diabetes Mellitus4 moreEpidemiologic 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.
Novel Approach for the Prevention of Hypoglycemia Associated Autonomic Failure (HAAF)
Diabetes MellitusType 12 moreThe overall goal of this study is to develop a new and practical way to prevent the development of Hypoglycemia Associated Autonomic Failure (HAAF), which is unawareness of hypoglycemia (low blood sugar) in individuals with diabetes. Previous studies suggest that two medications, naloxone and diazoxide, may increase the body's ability to respond to episodes of low blood sugar and prevent the development of HAAF (or hypoglycemia unawareness). Only healthy subjects are being recruited for this study. The study has three distinct phases. In the first phase, healthy, non-diabetic individuals who are susceptible to developing HAAF are identified. Only these individuals will be studied in the second and third phases. The second phase of this study evaluates the effect of using a naloxone nasal spray versus a placebo nasal spray in improving the body's response to episodes of low blood sugar and in preventing the development of HAAF. The third phase of this study evaluates the effect of using naloxone nasal spray and diazoxide in combination, compared to naloxone nasal spray plus a placebo (for diazoxide) or diazoxide plus a placebo (for naloxone) in improving the body's response to episodes of low blood sugar and in preventing the development of HAAF.
French National Cohort of People With Type 1 Diabetes
Diabetes MellitusType 13 moreCardiovascular (CV) diseases are the most frequent type 1 diabetes (T1D) complications. A recent epidemiological study showed that patients with T1D have a two-fold CV mortality risk, even in case of good glycemic control. In addition, it has been shown that patients with T1D with no traditional CV risk factors had about a 80% higher risk of cardiovascular event compared to non-diabetic individuals. This indicates that further modifiable risk factors in relation to CV mortality remain to be identified. One of the candidates that could help to disentangle the factors associated with the increased CV mortality in T1D patients is glycemic variability which could contribute to diabetes complications. Indeed, severe hypoglycaemia, one of the most severe consequence of glycaemic variability, are associated with a higher mortality in patients with type 1 and type 2 diabetes. In order to evaluate the relation between glycemic variability, insulin therapy modalities and CV risk as well as some other questions related to health determinants of T1D, we are building up a large observational, prospective, multi-centric cohort study of patients gathering 15,000 patients with T1D, age above 6 years old, to perform the following: Collecting clinical information Evaluating Glycemic variability (assessed by the coefficient of variation of glucose (CV) calculated from automatically downloaded continuous glucose monitoring data (CGM) Biobanking including plasma, DNA, urine, saliva and hair. Collecting patients' reported outcomes through auto-questionnaires (online questionnaires). Doing an active follow-up for a period of 10 years with an intermediate visit every 3 years. Passive follow-up: link to national Health data system (Système National de Données de Santé, SNDS) in order to exhaustively collect health events as death, CV events and hospitalizations (including severe hypoglycemia).
Effect of Postprandial Hyperglycemia on Vasculature in Type 1 Diabetes and Healthy Adults
Type 1 DiabetesHyperglycemia1 moreTo the investigator's knowledge, there are no data available in the current literature regarding the acute effects of postprandial hyperglycemia and insulin timing on myocardial perfusion in people with type 1 diabetes (T1D). Observational studies using CEU in type 2 diabetes demonstrate that postprandial hyperglycemia determines myocardial perfusion defects. The investigator hypothesizes that the combination of postprandial hyperglycemia and insulin increases pulse wave velocity (i.e., aortic stiffness) and myocardial vasoconstriction, thereby reducing myocardial perfusion in T1D when compared to healthy controls. Furthermore, the investigator hypothesizes in T1D that dosing insulin before meal intake will ameliorate these cardiovascular defects.
Low cArbohydraTe dIeT and aUtomated Insulin Delivery System for Type 1 DiabetEs
Type 1 DiabetesThis is a randomized, controlled study in people living with type 1 diabetes using an automated insulin delivery (AID) system. Participants will be assigned to a control diet (45% carbohydrate) or a low carb diet (25% carbohydrate). The objective is to establish whether the low-carb diet improves time to glycemic targets at 3 months and whether the diet is realistically maintained at 1 year in patients using an AID-DIY system.
Optimized Care of People With Diabetes and Foot Complication in Primary Care
DiabetesDiabetic Foot6 moreThe 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?