View clinical trials related to Metabolic Syndrome.
Filter by:The primary objective of this study is to examine whether exercise training alone, liraglutide treatment alone or exercise training plus liraglutide treatment increases cardiac and skeletal muscle microvascular blood volume, improves vascular function of the conduit vessels, and enhances insulin's metabolic action in humans with Metabolic Syndrome. Subjects will be randomized to one of the 4 groups: control, exercise training, liraglutide treatment, and exercise + liraglutide. They will be studied at the baseline and then after 24 weeks of intervention.
The objectives of the present study are: 1) to identify the intestinal and salivary microbiota associated with the presence and severity of hepatic steatosis in children (Study I: case-control study), and 2) to develop a personalized 12-week intervention program based on diet and exercise to examine its effects on the diversity and composition of the microbiota in children with hepatic steatosis (Study II: intervention study)
This study will evaluate whether the mineralocorticoid receptor antagonist eplerenone, when compared to chlorthalidone plus potassium chloride, can improve cardiac MRI-derived myocardial perfusion reserve and fibrosis, independent of blood pressure, and proportionately to the severity of autonomous aldosterone production.
Several crosssectional and prospective studies have shown that metabolic syndrome and its related components are associated with both prevalent and incident CKD . Although the mechanisms for these cardiovascular benefits of Metformin and vildagliptin remain unclear, they extend well beyond glycemic lowering, and therefore are probably best considered diverse "cardiometabolic" pharmaceuticals rather than simply type 2 diabetes drugs. Metformin and vildagliptin have known vasculoprotective actions, but the value of these drugs on drug-naïve diabetic patients during 24 week use warrants investigation. The investigator's purpose was to observe their effects on weight control, Cardiometabolic Risk Factors, Metabolic Syndrome risk, and diabetic nephrooathy Progression.
To analyze the effects of altering the time of ingestion of participants' habitual medication (i.e., metformin, statins, ARAII/IACE) and meals around the time of exercise training (exercise fasted or fed) on the improvement of metabolic syndrome factors (hypertension, insulin sensitivity, dyslipidemia, and obesity). There will be a preliminary study of the effects of training "time-of-day" on the primary study outcomes.
The main objective of the study is to assess the serum levels of progranulin and FAM19A5 protein in adults with metabolic syndrome.
Pediatric obesity is a risk factor for the onset of obesity in adulthood and is a risk factor for various chronic non-communicable diseases. Metabolic syndrome (MS) is the name for a group of risk factors that increase cardiovascular risk and other health problems characterized by the presence of abdominal obesity, dyslipidemia, hyperglycaemia and high blood pressure. Numerous preclinical and clinical data suggest a potential role of the intestinal microbiota in these diseaes. Unfortunately, comparative studies of the gut microbiota are still scarce in pediatric subjects suffering from obesity than obesity complicated by MS. The aim is to study the metagenomics and metabolomics characteristics of the intestinal microbiota in obese children/adolescents with or without MS, that could provide useful data for innovative intervention strategies for these conditions.
Background: In Alzheimer s disease (AD) the brain cannot use glucose as a fuel. The brain can use ketones as a fuel instead of glucose. Researchers want to test a supplement, Ketone Ester (KE). It may improve brain metabolic function and cognition in normal people and, perhaps, down the road, in patients with AD. Objective: To study the change in brain ketone levels in people after 28 days of taking KE compared with baseline and placebo. Also, to study changes in cognitive performance. Eligibility: People 55 years old or older with metabolic syndrome and no cognitive impairment Design: Participants will have 4 visits. Participants will be screened at Visit 1 with: Medical history Physical exam Blood and urine tests Cognitive testing Participants will be randomly assigned to receive either the study supplement or a placebo with same amount of calories. Neither they nor the researchers will know which they receive. Visit 2 will include repeats of some screening tests. It will also include: Stool sample (brought from home) MRI/MRS: Participants will lie on a table that slides in and out of a scanner. A coil will be placed over their head. They may be asked to perform leg exercises. First dose of study supplement or placebo About 2 weeks after Visit 2, Visit 3 will include blood and urine tests and a questionnaire. About 2 weeks after Visit 3, Visit 4 will include repeats of the Visit 2 tests. Participants will drink the study supplement or placebo 3 times per day during the study. They will keep a daily log of each dose. They will bring the log to Visits 3 and 4. Participants will by contacted by phone once per week during the study to see how they are doing.
Cardio-oncology is an emerging field. Most of the data available have been issued from either retrospective analysis, industry data or pharmacovigilance data. These data sources include a number of bias. CONFUCIUS is a single tertiary centre prospective registry including all patients who have been referred for cardio-oncology assessemnt. The objectives are to provide a comprehensive vue of cardoi-oncology, enable to detect early signals of cardiotoxicity and enhance ancillary projetcts aiming at specific populations (e.g., type of cancer) and/or drugs.
"Increased health risks and diseases are believed to be caused by multilevel interactions of genetic and environmental factors (including lifestyle habits). Considering the recent advancements in genetic analysis, wearable devices, and big data analysis techniques, collecting and analyzing personal genetic information, lifelogs, and environmental data and predicting the exact health risks of individuals could be possible.