View clinical trials related to Metabolic Diseases.
Filter by:The goal of this randomized, crossover, clinical trial is to link: 1) gastrointestinal motility patterns induced by acute consumption of whole and refined grains, 2) enteric microbial production of bioactive metabolites, and 3) circulating postprandial appearance of metabolites important to cardiometabolic health including glucose, triglycerides, and cholesterol. Participants will be asked to consume a Smartpill monitoring device that records metrics of gastrointestinal motility in response to whole or refined grains, monitor cardiometabolic metabolties over an 8 hour postprandial window, and provide a fecal sample for microbiome-related analyses.
Coronary heart disease (CHD) combined with chronic kidney disease (CKD) affects a substantial portion of the population and carries a significant disease burden, often leading to poor outcomes. Despite efforts to strictly control traditional risk factors, the efficacy in improving outcomes for patients with both CHD and CKD has been limited. Recent advancements in lipid metabolism research have identified new lipid metabolites associated with the occurrence and prognosis of CHD and CKD. Our preliminary trial has shown that levels of certain lipid metabolites, such as Cer(18:1/16:0), HexCer(18:1/16:0), and PI(18:0/18:1), are notably elevated in patients with CHD and reduced kidney function compared to those with relatively normal kidney function. This suggests that dysregulation of these non-traditional lipid metabolites may contribute to residual risk for adverse outcomes in these patients. Furthermore, the emerging concept of "cardiovascular-kidney-metabolic syndrome" and the availability of new treatment options highlight the urgent need for a risk stratification tool tailored to modern management strategies and treatment goals to guide preventive measures effectively. To address this, we propose to conduct a prospective cohort study focusing on CHD combined with CKD. This study aims to comprehensively understand the clinical characteristics, diagnosis, treatment status, and cardiovascular-kidney prognosis in these patients. Through advanced metabolomics analysis, we seek to identify lipid metabolism profiles and non-traditional lipid metabolites associated with the progression of coronary artery disease in CHD-CKD patients. Leveraging clinical databases and metabolomics data, we will develop a robust risk prediction model for adverse cardiovascular-kidney outcomes, providing valuable guidance for clinical diagnosis, treatment decisions, and ultimately improving patient prognosis.
Metabolic bone disease of prematurity (MBDP) is caused by insufficient content of calcium, phosphorus, and organic protein matrix in preterm infants or bone metabolism disorder, which is one of the complications affecting the quality of life of preterm infants. The early symptoms of MBDP are insidious, and there is no unified and clear diagnostic method. The diagnosis is mostly based on typical clinical manifestations and X-ray findings, but at this time, bone mineral density has decreased significantly, so early detection and diagnosis are difficult. Studies have shown that exosomal micrornas have biological characteristics and targeting specificity, and can be used as new molecular diagnostic markers for diseases. Several studies have reported the use of plasma or serum microRNAs as molecular markers for early prediction of bone diseases. In our previous study, we extracted plasma exosomes from preterm infants for high-throughput sequencing of microRNAs, and identified differentially expressed micrornas related to bone metabolism. In this study, exosomes were used as carriers, and digital PCR was used to verify the specificity and sensitivity of plasma exosomal microRNA as biomarkers of MBDP in a large sample size. The above biomarkers were compared and verified before and after treatment in children with MBDP. Further revealing plasma exosomal microRNA as a biological indicator for evaluating the efficacy of MBDP may improve the diagnostic level of MBDP, improve the outcome and prognosis of very low birth weight preterm infants, thereby improving global health and reducing socioeconomic costs.
This is a cohort study to understand the role of the human metagenome, and associated metabolites, in health and in various diseased states, in particular obesity as well as sarcopenia. Recruited participants will have their fecal, salivary, urine, serum, and in certain instances, mucosal samples taken, for metagenomic sequencing and metabolite testing. We hope to uncover various differences and signatures in the metagenome and metabolome in various diseased states, with potential future therapeutic applications in personalised medicine.
The glycemic index is the ability of carbohydrates in foods to induce increases in blood glucose levels after consuming them. Based on the capacity for increasing blood glucose levels, foods can be classified as having a low, medium, or high glycemic index. This property is of interest in health and nutrition because it allows estimating the impact the food will have on postprandial glycemia, which may able better food selection in situations where adequate glycemic control is required, such as in individuals diagnosed with Diabetes Mellitus. The objective of this study is to determine the glycemic index of 9 formulations of complete oral nutrition supplements and classify them based on their glycemic response.
Background: Ketosis after bariatric surgery is a metabolic process that occurs when the body breaks down fat for energy because of not getting enough carbohydrates. Insufficient production of ketone bodies reduces the rate of weight loss, and excessive amounts of ketones can lead to ketoacidosis or liver failure in patients with nonalcoholic steatohepatitis (NASH). The investigators hypothesize that weight loss is directly related to calorie intake, and a significant reduction in carbohydrate content leads to increased ketosis and the risk of ketoacidosis. Objectives: The study aimed to compare the incidence of ketoacidosis and liver failure in patients with NASH with different intakes of carbohydrates in the early postoperative period after gastric bypass. In addition, the investigators want to find out how carbohydrate restriction will affect weight loss for up to 1 year.
POWER Health is a randomized clinical trial with a two-arm parallel design whose objectives are 1) to study metabolic flexibility and autonomic function (both capacities that describe cardiovascular health) in a sample of postmenopausal oncological women vs postmenopausal untreated controls (CT); and 2) to analyze the impact of two different 8-week physical exercise supervised interventions: HIIT training vs strength training focused on muscle power, on both cardiovascular capacities in these populations.
Investigating the effect of oxytocin on pancreatic endocrine functions by determining insulin and glucagon secretion within physiological ranges of plasma glucose.
Fitness is one of the best predictors for heart and brain disease. To increase ones fitness, the American Heart Association (AHA) says to exercise at least 150 minutes per week or 75 minutes per week if really hard. These exercise guides are pretty effective, however not everyone will get the same results. What individuals do outside of the exercise bout can influence the effectiveness of exercise. One of these factors is our time sitting, which has caused the phrase "sitting is the new smoking". Other studies have said that the metabolic benefits of exercise are decreased when you exercise after a few days of low activity (less than 5,000 steps per day). This is important in that exercise may not be able to fully offset these times of inactivity. However, these studies were only looking at different fats in the blood. As exercise increases fat burn up to 10 times in the muscle, more research is needed to understand how inactivity affects the muscle during exercise and after exercise. This study will help answer two questions: 1) How does a day of sitting a lot affect the muscle's ability to respond to exercise? and 2) How does a day of sitting a lot affect carbohydrate and fat burn during and after a bout of exercise? The investigators will answer these questions by having people complete one day of inactivity (less than 5,000 steps) or normal activity (more than 8,500 steps). Subjects will then come in the next day to bike somewhat hard for 1 hour. The investigators will take blood samples before, during, and after exercise to measure energy sources. The investigators will also collect pieces of skeletal muscle before and after exercise to see how the muscle responded to exercise. This study is significant for the publication of exercise guidelines to minimize risk of heart and metabolic diseases.
The goal of this clinical trial is to clarify (i) the contribution of brain insulin action on regulation of systemic metabolism, (ii) sex-specific differences in the central regulation and (iii) the influence of the menstrual cycle in women. Therefore, participants will undergo oral glucose tolerance tests combined with a double tracer dilution technique. This approach will be compared between days with insulin delivery to the brain as nasal spray and days with placebo spray.