Clinical Research Directory

Genetics Of Autoimmunity In Type I Diabetes

The purpose of this study is to gain more information about the step-by-step process that causes someone to develop type 1 diabetes. Scientists think that a person's own immune system, directed by genetic and environmental factors play a major role in its development. Participation involves a blood draw, a brief medical history questionnaire and measurements of height and weight. Some participants will be asked to return for annual follow-up visits for 10 years.

Role of Glucagon-like Peptide-1 Receptor Agonists in Menstrual Irregularities in Adolescent Females With Type 1 Diabetes Mellitus

The aim of this study is to measure the frequency of menstrual irregularities among adolescent females with Type 1 diabetes mellitus and to assess the therapeutic effect of glucagon-like peptide-1 receptor agonist on menstrual irregularities in adolescent females with Type 1 diabetes mellitus .

EXtremely Early-onset Type 1 Diabetes EXtremely Early-onset Type 1 Diabetes (A Musketeers' Memorandum Study)

Type 1 diabetes (T1D) results from destruction of insulin-producing beta cells in the pancreas by the body's own immune system (autoimmunity). It is not fully understood what causes this type of diabetes and why there is variation in age of onset and severity between people who develop the disease. The aim of this work is to study very unusual people who develop T1D extremely young, as babies under 2 years of age (EET1D). The investigators think that, for the condition to have developed that early, they must have an unusual or extreme form of autoimmunity. Studying people with EET1D will enable us to look at exactly what goes wrong with the immune system because they have one of the most extreme forms of the disease. Much may be learned about the disease from a small number of rare individuals. The investigators aim to confirm that they have autoimmune type 1 diabetes and then try to understand how they have developed diabetes so young by studying their immune system genes, the function of their immune system, and environmental factors (such as maternal genetics) that may play a role in their development of the disease. People with diabetes diagnosed under 12 months are very rare, live all over the world. and are usually referred to Exeter for genetic testing. Individuals will be contacted via their clinician to ask for more information about their diabetes and their family history. Samples will be collected to study whether they still make any of their own insulin and whether they make specific antibodies against their beta cells in the pancreas. Separately, their immune system will be studied in depth using immune cells isolated from a blood sample. These cells will undergo cutting edge techniques by Dr Tim Tree at King's College London, by Professor Bart Roep at Leiden University Medical Center, Netherlands, and Dr Cate Speake, Benaroya Research Institute, Seattle (USA). Some of these tests have never been used in people of young ages around the world, so an aim of this project will be to develop methods that can be used to study people even if they live far away. Additional funding extended the study for a further 3 years (Phase 2) to include recruitment of infants without diabetes, aged 0-6 years, as controls to enable assessment of how the abnormalities found in autoimmune and non-autoimmune diabetes compare to normal early life development of the immune system. An additional funding award extended the study (Phase 3) until November 2028, to advance the EXE-T1D program into its third phase, building on major discoveries from phases 1 and 2 to identify, validate, and target immune pathways that drive extremely early-onset type 1 diabetes (eeT1D) and are likely relevant to T1D across all ages. eeT1D cases, diagnosed within the first two years of life, represent particularly aggressive onset of beta-cell autoimmunity. They offer a unique lens to uncover mechanisms of immune dysregulation, informed by both polygenic and monogenic causes. The central aim is to move from pathway discovery to demonstration of novel druggable targets with potential to delay or prevent T1D onset across all ages.

Continuous Monitoring of Glycemic Variability to Predict Dys- and Hyperglycemia in Asymptomatic Type 1 Diabetes

The goal of this longitudinal clinical trial is to measure variability of interstitial glucose levels with a user-friendly real-time continuous glucose monitoring (CGM) technology at regular intervals in normo- and dysglycemic multiple autoantibody-positive individuals (age 5-39 years), in comparison with single autoantibody-positive individuals in the same age range. Participants will asked to undergo repeated oral glucose tolerance tests (OGTTs) (age 5-39 years) and hyperglycemic clamp tests (age 12-39 years) in parallel for a period of at least 2-3 years. In case of confirmed dysglycemia, we propose to perform CGM and OGTT every 3 months. The main questions the study aims to answer are: 1. Do the amplitude and time trends of CGM-derived glycemic variability indices and OGTT- and clamp-derived variables differ between the intermediate, high and very high risk groups? 2. Can (changes in) CGM-derived glycemic variability indices predict/detect dysglycemia in initially normoglycemic (single or multiple autoantibody-positive) individuals with the same diagnostic efficiency as OGTT- or clamp-derived variables? 3. Can (changes in) CGM-derived glycemic variability indices predict clinical onset in (stage 1 or 2) multiple autoantibody-positive individuals with the same diagnostic efficiency as OGTT- or clamp-derived variables? 4. Can correlating (changes in) CGM-derived indices with (changes in) OGTT- and clamp-derived variables help to better understand the sequence of events leading to dysglycemia and clinical onset, as well as the relative contribution of beta cell function and insulin action to glycemic variability according to disease stage and biological and phenotypical characteristics of the individuals?

MEtabolic and Renal Effects of AutoMAted Insulin Delivery Systems in Youth With Type 1 Diabetes Mellitus

In type 1 diabetes (T1DM), automated insulin delivery (AID) systems such as the hybrid closed loop artificial pancreas (HCL AP) combine the use of an insulin pump, continuous blood sugar monitor, and control algorithm to adjust background insulin delivery to improve time in target blood sugar range. Systems such as the predictive low glucose suspend system (PLGS) pause insulin delivery to try and reduce low blood sugars. We aim to complete a pilot study involving recruitment of youth ages 7 to 18 years from the following groups with type 1 diabetes: control participants consisting of youth on either multiple daily insulin injections or conventional insulin pump therapy that plan to continue with their current treatment modality, youth being transitioned to the HCL AP system, and youth being transitioned to the PLGS system. Individuals will be recruited into each of the aforementioned study groups based on their own expressed desire to either continue on MDI/standard insulin pump therapy or transition to either the HCL AP or PLGS systems. The decision to either continue with current therapy or transition therapy will remain entirely up to the participant and their family and will be based on personal preference and insurance coverage for that individual. We will not be randomizing the participants to any given treatment group during this study but rather will be recruiting based on the participant's decision. We would like to complete a physical exam with pubertal staging, collect blood and urine samples to evaluate cardiometabolic and renal markers, and complete a DXA scan to evaluate total lean and fat mass. After 3-6 months of either continuation of current treatment with either multiple daily insulin injections or conventional insulin pump therapy or transitioning to the HCL AP or PLGS systems, we would like to repeat the previously described blood, urine, and imaging tests for comparison. We are interested in examining the impact of the HCL AP and PLGS systems on maintaining blood sugars in target range, insulin sensitivity, and markers of cardiometabolic and renal function. We hypothesize that pauses in insulin delivery, as seen in the setting of automated insulin delivery systems, will result in improvements in insulin sensitivity, cardiometabolic markers, and renal function markers.

China Diabetes Registry by Metabolic Management Center

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 1. 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. 2. 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. 3. 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.

Ixekizumab Diabetes Intervention Trial (I-DIT)

Although the clinical onset of type 1 diabetes (T1D) is acute, the progression of T1D occurs over many years often in a patchy manner with inflammation in certain lobes of the pancreas, leaving other lobes unaffected and long-lasting beta cells remain functional decades after diagnosis. Psoriasis share several aspects with T1D, e.g. the patchy inflammatory infiltrate consisting of tissue-resident memory (TRM) T cells, leaky blood vessels that facilitate leukocyte migration and the increased risk for systemic conditions. Moreover, interleukin (IL)-17 has shown to be increased in both persons with psoriasis and T1D. Activation of IL-17/IL-22 pathway is viewed to be both a hallmark of psoriasis and human T1D. Ixekizumab, an anti-IL17 biological agent, has shown marked therapeutic value in the treatment of subjects with psoriasis in several randomized trials and is currently an approved clinical therapy. Due to the many similarities in the current view of pathogenesis and manifestation of T1D and psoriasis it is possible that Ixekizumab can also influence the disease process of T1D.

The Survey of Treatment and Metabolic Status of Type 1 Diabetes Mellitus (T1DM).

This study is a multicenter cross-sectional research project, planning to enroll 1000 patients with Type 1 Diabetes Mellitus (T1DM). By reviewing clinical data, physical examinations, questionnaires, continuous glucose monitoring, and subcutaneous fat ultrasound, we aim to understand the current status of treatment and metabolism in Chinese T1DM patients and analyze the potential factors that may affect their blood sugar control and metabolic indicators. A cost-effectiveness analysis will be conducted on Chinese T1DM patients using continuous glucose monitoring systems to identify the groups that benefit most from these systems.