Active clinical trials for "Diabetes Mellitus"

Ongoing prospective cohort of type 2 diabetes individuals.

Type 1 diabetes (T1D) is characterized by absolute insulin deficiency. Although the discovery and application of exogenous insulin has prolonged the lifespan of T1D patients, the chronic diabetic complications caused by long-term poor glycemic control will still reduce patients' quality of life and the overall life expectancy. According to the studies focused on long-term T1D, part of the patients with long disease duration showed resistance to microvascular complications, and several protective factors have been identified. The prevalence of T1D in China is extremely low compared to that in the western world, and little is known about the characteristics of patients with long-term T1D in China. Therefore, this study is designed to collect variable clinical and laboratory features of patients with long-term T1D, explore the risk and protective factors for the development of microvascular complications, and provide reference for the prediction and prevention of these complications.

To evaluate the islet function and insulin secretion pattern of post-pancreatitis diabetes mellitus by oral glucose tolerance testing, and to explore the pathophysiological characteristics of PPDM-C which provide evidence for the diagnosis of PPDM-C.

Exhaled volatile organic compounds will be measured during daytime with the goal to identifying circadian variability. The study incudes three subgroups: people without diabetes, people with type 1 diabetes, and people with type 2 diabetes. A total of 60 people will be recruited for the study.

The goal of this observational study is to learn about the role of Time-in-Range to stratify the risk of micro vascular complications in adults with type 2 diabetes. The main questions it aims to answer are: Is a lower Time-in-Range associated with a higher risk of diabetes microvascular complications, independent of HbA1c? Is Time-in-Range lower among sulfonylurea and premixed insulin therapy users compared to non-sulfonylurea and non-premixed insulin therapy users, respectively.

This study seeks to examine the impact of bariatric surgery on oral bacteria in diabetic compared to non-diabetic patients. The purpose of this research study is to examine how diabetes changes the bacteria in the mouth. This is an important question since bacterial changes may impact oral health. Participants will attend a screening and baseline visit prior to bariatric surgery and three post bariatric surgery appointments (3 weeks post, 6 months post and 1 year to 18 months post). Samples collected at each study visit include blood, plaque, and other oral samples. At the last study visit there is an optional dental cleaning.

Evaluate the impact of conducting a screening questionnaire (FINDRISC) and the implementation of a point-of-care HBA1c test for those with identified risk to suffer Diabetes in ten years, to improve the proportion of patients attending for a confirmatory test ( oral glucose tolerance test ) and evaluate the impact of such a strategy to minimize type 2 diabetes outcomes.

The purpose of this study is to discover early biomarkers in circulating endothelial cells for diabetes complications, by investigating circulating endothelial cells in blood samples from patients with newly diagnosed proliferative diabetic retinopathy, newly diagnosed maculopathy, patients with diabetes without eye diseases, and individuals without diabetes by single-cell RNA sequencing. The single-cell RNA sequencing analysis will make it possible to fully phenotype diabetes circulating endothelial cells at single-cell level and reveal the first atlas of circulating endothelial cells in humans at both healthy and diabetes conditions.

National multi-center non-interventional case-control cohort study with collection of biological samples to characterize the autoimmune T and B lymphocytes involved in the development of type 1 diabetes.

This project is expected to screen reliable serum markers in pregnant women with gestational diabetes mellitus (GDM) by using metabolic profiling and lipid profiling clinical high-throughput mass spectrometry technology. We intend to build an early pregnancy prediction model for postpartum glucose metabolism abnormalities of GDM. At the same time, this project plans to develop a predictive management system based on this model, so that it can be widely used in clinical detection process, realize the advance of the early warning window period of abnormal glucose metabolism, and provide theoretical guidance for the early postpartum blocking of GDM to the outcome of abnormal glucose metabolism.