View clinical trials related to Metabolic Syndrome X.
Filter by:This observational study investigates the correlation between home blood pressure variability (BPV) and arteriosclerosis, alongside metabolic indicators, in hypertensive patients over a three-year period. The research specifically focuses on the predictive value of home BPV for major adverse cardiovascular events (MACE) including myocardial infarction, stroke, and heart failure hospitalizations. Utilizing a mobile application called Healthscan for daily BP monitoring, the study aims to enhance the understanding of how BPV impacts cardiovascular and metabolic health in a real-world setting.
Tongji-Ezhou study (TJEZ) is a prospective cohort study launched at 2013 in EZhou city, Hubei province, with the goal of recruiting and assessing 10,000 individuals and then following them for at least 2 decades. In addition, blood samples would be collected every 3-5 years among 6000 of them to investigate the nutritional biomarkers and potential determinants of chronic diseases such as obesity, type 2 diabetes, metabolic syndrome, and cardiovascular disease.
Colorectal cancer (CRC), second leading cause of cancer worldwide, is associated with a poor prognosis, especially in patients with advanced disease. Therefore, there is still a need to develop new prognostic tools to replace or supplement those routinely used, with the aim to optimize treatment strategies. Studies on gut microbiota composition provide new strategies to identify powerful biomarkers. Indeed, beyond its beneficial functions for the host, increasing evidences suggest that gut microbiota is a key factor involved in CRC carcinogenesis. Many clinical studies have described an imbalance in the gut microbiota (dysbiosis) in CRC patients, with the emergence of pathogenic bacterial species, Recent studies reported that pks-positive E. coli, a pathogenic bacterial producing toxin encoded by the pks genomic island, is more frequently detected in CRC patients, suggesting a possible role in tumor development. Therefore, this suggests the potential use of microbial signatures associated with CRC for prognostic assessment. Furthermore, influence of body composition profile (BMI, sarcopenia, metabolic syndrome) also appears to be a new relevant prognostic tool regarding surgical and oncological outcomes following CRC surgery. The aim of this translational research project is to study the impact of these new prognostic tools on surgical and oncologic results in a prospective cohort of patients who underwent CRC surgery at the Digestive Surgery Department of the University Hospital of Clermont-Ferrand (France). This could allow to optimize treatment strategies and provide new ways to identify news promising biomarkers associations in order to better define high risk patients. Investigators aim to identify specific microbial signatures associated with some metabolic profiles in order to improve surgical morbidity and/or response to cancer therapies.
The research is devoted to studying the features of the metabolic syndrome in cancer survivors in childhood is supposed to answer the following questions: - How can metabolic syndrome be diagnosed in the Russian population of survivors of acute lymphoblastic leukemia and non-Hodgkin's lymphomas? - What are the features of the clinical symptoms of metabolic syndrome in this category of patients? - Which genetic mutations are found in cancer survivors of patients with metabolic syndrome; Which of these mutations can be considered as protective or vice versa predisposing to the development of metabolic syndromes? Is the metabolic syndrome associated with an increased frequency of toxic complications of therapy during the intensive stages?
To study the effects of Hesperidin supplement in patients with metabolic syndrome, 50 patients will be randomly allocated to control group or 2 capsules Hesperidin for 12 weeks; both groups will be advised to adherence the investigators' diet and exercise program too. At the first and the end of the intervention, metabolic factors will be assessed and compared between groups.
To study the effects of Hesperidin, flaxseed and both together in patients with metabolic syndrome, 100 patients will be randomly allocated to one of following four groups: control group, hesperidin group (2 capsules Hesperidin), flaxseed group (30 gram flaxseed) or flaxseed-hesperidin group (2 capsules Hesperidin and 30 gram flaxseed) for 12 weeks; both groups will be advised to adherence the investigators' diet and exercise program too. At the first and the end of the intervention, metabolic factors will be assessed and compared between groups.
The main purpose of this study is to compare the impact of concurrent high-intensity interval training (HIIT) and whole-body electromyostimulation exercise (WB-EMS) or low-volume conventional strength training (CST) on the cardiometabolic risk profile, overall physical fitness (cardiorespiratory fitness and muscular strength), body composition, inflammatory markers and subjective health outcomes after a 12-week intervention trial in overweight individuals at increased cardiometabolic risk. Furthermore, this study aims to investigate the influence of intra-session exercise order on all outcomes.
This study is designed to determine whether a standardized intervention in the health center and based on hygienic dietary measures and physical exercise, supplemented with a polyphenol extract in patients, achieves a greater benefit in the reduction of LDL cholesterol in dyslipidemias in the short term.
Objective: The Nanshan Elderly Cohort Study (NECS) aims to investigate the nutritional, as well as other environmental and genetic factors of chronic diseases, such as cardio-metabolic diseases. Study design: NECS is a community-based prospective cohort study. Participants: About 10000-20000 apparently healthy residents, living in Nanshan， Shenzhen (South China) for >5 years, aged ≥ 65 years, will be recruited between 2018 and 2019. Visits and Data Collection: Participants will be followed up approximately every 3 years by invited to the Community Healthcare Service Centre. At each survey, face-to-face interviews, anthropometric measurements, ultrasonography examination, electrocardiogram test and specimen collection will be conducted. Key variables: 1. Face-to-face interviews: Structured questionnaires will be used to collect the participants' socio-demographic characteristics, lifestyles, habitual dietary intake, physical activity, history of chronic diseases, use of supplements and medications, family history, psychological health and cognitive function. 2. Physical examinations: Anthropometric measurements, blood pressure tests, handgrip strength, and usual gait speed. 3. Ultrasonography examinations: Ultrasonography examination will be performed to determine carotid artery intima-media thickness and plaque, fatty liver. 4. Electrocardiogram test: Electrocardiogram test is to obtain information about the structure and function of the heart. 5. Specimen collections: Overnight fasting blood sample, early morning first-void urine sample and faeces samples will be collected and stored at −80°C till tests. 6. Laboratory tests: 1. Blood tests: Metabolic syndrome-related indices; nutritional indices; inflammatory markers; sexual hormones; genetic markers. 2. Urinary tests: Flavonoids and flavones, minerals, creatinine and renal function related markers. 3. Fecal test: Gut microbiota and related metabolites. 7. Morbidity and mortality: Relevant data will be also retrieved via local multiple Health information systems. 8. Others: Many other laboratory tests or instrument tests will be developed depended on needs and resources in future.
The purpose of this study will be to determine if personalized moderate intensity exercise training combined with high intensity interval training is more effective at improving training responsiveness than moderate intensity exercise training alone? This question will be addressed holistically be creating a composite score to assess training responsiveness. Additionally, individualized biological variability will be calculated in order to quantify training responsiveness using a personalized criterion. It is hypothesized that personalized moderate intensity exercise training combined with high intensity interval training will be more effective at improving comprehensive training responsiveness when compared to moderate intensity exercise training alone?