Active clinical trials for "Metabolic Syndrome"

The metabolic syndrome is a highly prevalent disorder, which causes atherosclerotic cardiovascular disease and is closely associated with insulin resistance. The alteration of the secretion of adipocytokines from accumulated visceral adipose tissue in the obese induces insulin resistance. The purpose of this study is to identify gene polymorphisms that confer susceptibility to the metabolic syndrome and to make up a new health guidance program based on genetic risk assessment. About 25% of male employees over 45 years old in a certain company are diagnosed with the metabolic syndrome in medical examination. We, the researchers at Nagoya University, will analyze gene polymorphism and various biomarkers of over 3500 company employees.

The secondary objective is to evaluate the agreement between these criteria and the prevalence of concordant and discordant according to different criteria.

Insulin resistance and disturbances in energy homeostasis are associated with body weight changes, such as diabetes, hypertension, hyperlipidemia, obesity, cancer cachexia, aging, and acute or chronic infectious diseases. Cytokines secreted by adipose tissue and inflammatory cells play important roles in the pathological conditions. Several novel cytokines were disclosed recently, but their functions have not been well known. Further investigation of these cytokines, resulting in insulin resistance and energy homeostasis, is very important to elucidate the mechanisms and develop new therapeutic strategies.

The purpose of this study is going to determine the odds ratio of metabolic syndrome (MS), the habit of areca nut chewing, antioxidant, and inflammatory status in oral and esophageal patients. The current study was designed as a case-control study. Patients proved to be oral and esophageal cancer and had the habit of areca nut chewing are defined as case group. Patients proved to be oral and esophageal cancer and did not have the habit of areca nut chewing are defined as control group. The participants' age, blood pressures, and smoking habits will be recorded. Body weight, height, waist, and hip circumferences will be measured. Fasting venous blood samples will be obtained to determine hematological parameters [i.e., serum creatinine, total cholesterol, triacylglycerol, low density lipoprotein-cholesterol, high density lipoprotein-cholesterol, malondialdehyde, superoxide dismutase, glutathione peroxidase, catalase, and inflammatory markers (C-reactive protein, tumor necrosis factor-alpha, and interleukin-6)]. Logistic regression analyses are going to perform to examine the relationship between areca nut chewing and MS in this population. If we can make sure the relationship between areca nut chewing and MS, the clinicians and nutritionists can teach people to quit areca nut chewing in order to avoid the possibility of developing metabolic syndrome and cardiovascular disease.

The purpose of this study is determine the incidence of metabolic syndrome (MetS) in people of high risk, of 40 or more years and attended in the Primary Care. Evaluating the association between anxiety, depression, quality of life and the vital stressful events, and the development of the metabolic syndrome in general population. Our hypothesis is that population of the cohort with bigger degree of stress will develop earlier the metabolic syndrome. If our hypothesis about the metabolic syndrome are demonstrated, it would allow establishing in a future interventions on these factors of risk to prevent or to decrease the incidence of this syndrome in the Primary Care.

Obesity is a chronic metabolic disorder : it leads to coronary heart disease and early atherosclerosis. Coronary artery calcium measured by CT is known as a robust predictor to predict risk for cardiac events in symptomatic and asymptomatic individuals. Furthermore, recent studies show that other CT risk factor exists, independent of calcium scoring, such as epicardial fat, intrathoracic fat and visceral fat. The aim of this prospective study is to evaluate these new cardiovascular risk markers in obese patients, using standard dose CT and low dose CT with adaptative statistical iterative reconstruction.

To investigate the association between metabolic syndrome (MS) and thyroid nodule(s).

The aim of this study is to establish a deep learning model to automatically detect the presence and scoring of carotid plaques in neck CTA images, and to determine whether this model is compatible with manual interpretations.

This prospective study aims to identify the prevalence of metabolic syndrome in patients undergoing EVAR and the implications of metabolic syndrome on the postoperative outcome, the major complications, the thromboembolic events and the perioperative mortality and morbidity of the patients undergoing vascular surgery.

Although it is frequently mentioned in the media that overweight and obesity have reached epidemic proportions worldwide and in this country, some Canadians are perplexed and sometimes confused about the role of obesity in diabetes and heart disease. In fact, the investigators even hear from time to time that there could be "healthy" obese individuals. In clinical practice, assessment of obesity as a risk factor for cardiovascular disease (CVD) remains a challenge as even some physicians are confused. However, studies conducted in our laboratory and by other research teams around the world over the last 20 years have clearly shown that body shape is more important than body size when evaluating the risk of overweight/obesity and that high accumulation of abdominal fat (excess belly fat) increases the risk of diabetes and cardiovascular disease (CVD). The investigators now need to better understand the link between excess belly fat and atherosclerosis (the thickening of artery walls by fatty deposits, also referred to as atherosclerotic plaque), leading to complications such as angina (chest pain) and myocardial infarction (heart attacks). Using non-invasive imaging techniques such as magnetic resonance imaging, the investigators therefore propose to examine the relationships between measures of fatness and of abdominal fat and the size of atherosclerotic plaque in large blood vessels of apparently healthy human subjects. This study is also a unique opportunity to look, for the first time, at the relationship between belly fat, blood sugar, several well-known risk factors for heart disease (cholesterol, blood pressure, cardiorespiratory fitness, etc.) and the size of atherosclerotic plaques. This research program should pave the way to the development of new improved preventive/therapeutic approaches focusing not on body weight but rather on abdominal fat and associated blood abnormalities which are predictive of the development of atherosclerotic plaques leading to the premature development of heart disease.