Active clinical trials for "Diabetes Mellitus, Type 1"

This study will evaluate the changes in glycemic control in overweight and obese adults with Type 1 Diabetes Mellitus after receiving CT-868 for 16 weeks. The effectiveness and safety of CT-868 will be compared to placebo. All participants will continue with their standard diabetes care using either an insulin pump (CSII) or multiple daily injections (MDI). Alongside their designated treatment, participants will receive guidance on managing their diabetes, including monitoring blood glucose levels and diet and exercise recommendations. Treatment assignments, either CT-868 plus insulin or placebo plus insulin will be randomly determined.

In view of the emergence over the last few years of adverse skin reactions caused by diabetes monitoring and treatment devices, which have become essential to the optimal management of these patients, it is necessary to determine the real prevalence of these side effects. Here the investigators performed a prospective study about prevalence of skin reactions in a group of children with type 1 diabetes.

In type 1 diabetes, it is common to choose the food we eat according to the blood sugar level and the insulin dose and vice versa. Beyond the nutritional aspects, the relationship to food and the resulting eating behaviors can be a source of suffering. Also, it has been reported that one out of two people over 60 years of age living with type 1 diabetes has cognitive impairment. Changes in cognitive functions can have important implications for daily well-being, diet (e.g., the ability to modulate cravings), and treatment decisions to manage diabetes. One factor that can affect both eating behaviors and cognitive function is variation in blood glucose levels. This research aims to better understand the impact of glycemic variability in disordered eating behaviors and cognitive impairment, and its consequences on self-management skills in people with type 1 diabetes. The hypotheses are that i) higher glycemic variability is associated with higher disordered eating behaviors and poorer cognitive function in people with type 1 diabetes, and that differences exist between sexes, ii) higher disordered eating behaviors and poorer cognitive function are associated with lower self-management skills; and iii) cognitive impairment, interoception awareness and insulin resistance may mediate the relationship between glycemic variability and disordered eating behaviors. This research study will contribute to highlighting the consequences of blood sugar fluctuations, "sugar swings", in daily life, in particular the way they disrupt eating behaviors and brain function. A better understanding of the mechanisms involved could eventually allow for early detection and management of these problems. Our study will also seek to understand the patients' point of view, which will allow the design of appropriate and meaningful recommendations.

This is a prospective randomized placebo-controlled double-blind crossover study determining the effect of dichloroacetate on brain glucose metabolism under clamped hypoglycemia in T1DM.

Paediatric Type 1 Diabetes (T1D) patients are at greater risk for developing severe hypo and hyperglycaemic events due to poor glycaemic control and incorrect Insulin administration. To reduce the risk of adverse events, patients need to achieve the best possible glycaemic control through frequent blood glucose monitoring with finger prick or Continuous Glucose Monitoring (CGM) systems. However, several non-invasive techniques have been proposed aiming at exploiting changes in physiological parameters based on glucose levels. The overall objective of this study is to validate a deep learning algorithm to detect glycaemic events using electrocardiogram (ECG) signals collected through non-invasive device. This observational single-arm study will enrol participants with T1D aged less than 18 years old who already use CGM device. Participants will wear an additional non-invasive wearable device, for recording physiological data (e.g. ECG, breathing waveform, 3-axis acceleration) for three days. ECG variables (e.g. heart rate variability features), respiratory rate, physical activity, posture and glycaemic measurements driven through ECG variables and other physiological signals (e.g. the frequency of hypo or hyperglycaemic events, the time spent in hypo- or hyperglycaemia and the time in range) are the main outcomes. A quality-of-life questionnaire will be administered to collect secondary outcomes. Data collected will be used to design, develop and validate the personalised and generalized classifiers based on a deep-learning artificial intelligence (AI) algorithm developed during the pilot study, able to automatically detect hypoglycaemic events by using few ECG heartbeats recorded with wearable devices. This study is a validation study that will carry out additional tests on a larger diabetes sample population, to validate the previous promising pilot results that were based on four healthy adult subjects. Therefore, this study will provide evidence on the reliability of the deep-learning artificial intelligence algorithms investigators developed, in detecting glycaemic events in paediatric diabetic patients in free-living conditions. Additionally, this study aims to develop the generalized AI model for the automated glycaemic events detection on real-time ECG.

To assess whether there is a difference in endogenous insulin secretion, measured as stimulated C-peptide secretion (area under the curve during a 4-hour mixed meal tolerance test), at the 1 year visit, for study subjects receiving combinational therapy versus those receiving placebo. The study will also examine the effect of the proposed treatments on immunological outcomes, specifically proportion of regulatory T cells at the 1 year visit.

The aim of the present study is to investigate a targeted proteomic analysis in plasma of children - of Greek origin- with type 1 diabetes (DT1) and its correlation with the electrophysiological findings that accompany diabetic peripheral neuropathy. Diabetic neuropathy is the most frequent chronic complication in adults with DT1 and rarely appears in childhood. Nevertheless, cases of acute mononeuritis have been described at the time of diagnosis of DT1. According to recent reports several biomarkers, including proteomic analysis, have been proposed for the early detection of peripheral neuropathy in children and young adults with T1DM. In the present study the researchers will attempt to investigate the role of biomarkers with targeted proteomic analysis in the plasma of children with DT1 in combination with an electrophysiological study, which includes a nerve conduction study, to detect early diabetic peripheral neuropathy, before the appearance of clinical manifestations.

The aim of this study is to test the hypothesis that sotagliflozin (SGLT1/2 inhibitor) and ambrisentan (ERA) combination therapy augments nephroprotection and mitigates fluid retention and ketogenesis in people with T1D through complementary and synergistic mechanisms of actions.

In this cross-sectional clinical study, we will examine the bones of 111 Type 1 Diabetes (T1D) patients and 37 age-matched healthy controls with the aim of describing a T1D Bone Phenotype. The main Objectives of the study is a) to determine if the material properties of the bones are affected in diabetic bone disease and b) to determine if the mitochondrial function in osteoclasts and osteoblasts is impaired in T1D. Secondary end points are c) to establishment of the T1D bone phenotype and d) to investigate if mitochondrial dysfunction in T1D bone cells correlates to changes in gene expression, gene activity, bone remodelling, bone density, microarchitecture, geometry and material properties. Furthermore, in terms of contributing to knowledge on etiology and pathology of type one diabetic bone disease, we will study the predictory value of muscle mass in T1D patients and controls, as well as other characteristics such as heart rate variability (HRV) and AGE content. Furthermore, we will study the epidemiology of osteoporosis and fractures in Danish T1D patients. To assess the material properties of the bones, we will measure the bone mass density (BMD), use High Resolution peripheral Quantitative Computed Tomography (HRpQCT) for assessment of the microarchitecture and finite element analysis of bone strength, and by microindentation, we will obtain direct measures of the strength of the cortical bone of the tibia. Further we will measure bone turnover markers and circulating microRNA and in a subgroup of participants (24 T1D, 12 controls) bone samples will be retrieved for examination of bone histomorphometry (structural and static parameters) and cell samples from blood and bone marrow will be used for in vitro experiments focused on cell differentiation mitochondrial function, as hyperglycemia may affect mitochondrial function. Finally measures of some possible predictors of bone fragility in subjects with T1D are examined (sarcopenia, skin advanced glycation end products (AGE) content, autonomic neuropathy)

The goal of the study is to examine the impact of an educational video on the rate of breastfeeding in mothers who had gestational diabetes mellitus, and the rate of type-II diabetes mellitus diagnosed postpartum.