View clinical trials related to Metabolic Disturbance.
Filter by:This study relates to men with hypogonadism, a condition describing a deficiency of androgens such as testosterone. Deficiency of these hormones occurs in men due to testicular (primary) or hypothalamic-pituitary (secondary) problems or may be observed in men undergoing androgen deprivation therapy for prostate cancer. Testosterone plays an important role in male sexual development and health, but also plays a key role in metabolism and energy balance. Men with testosterone deficiency have higher rates of metabolic dysfunction. This results in conditions such as obesity, nonalcoholic fatty liver disease, diabetes, and cardiovascular disease. Studies have confirmed that treating testosterone deficiency with testosterone can reduce the risk of some of these adverse metabolic outcomes, however cardiovascular mortality remains higher than the general population. We know that testosterone deficiency therefore causes metabolic dysfunction. However, research to date has not established the precise mechanisms behind this. In men with hypogonadism there is a loss of skeletal muscle bulk and function. Skeletal muscle is the site of many critical metabolic pathways; therefore it is likely that testosterone deficiency particularly impacts metabolic function at this site. Men with testosterone deficiency also have excess fat tissue, this can result in increased conversion of circulating hormones to a type of hormone which further suppresses production of testosterone. The mechanism of metabolic dysfunction in men with hypogonadism is therefore multifactorial. The purpose of this study is to dissect the complex mechanisms linking obesity, androgens and metabolic function in men. Firstly, we will carry out a series of detailed metabolic studies in men with testosterone deficiency, compared to healthy age- and BMI-matched men. Secondly, we will perform repeat metabolic assessment of hypogonadal men 6 months after replacement of testosterone in order to understand the impact of androgen replacement on metabolism. Lastly, we will perform the same detailed metabolic assessment in men with prostate cancer before and after introduction of a drug which causes testosterone deficiency for therapeutic purposes.
Coronary heart disease (CHD) is the leading cause of mortality worldwide. Every year, millions of people suffer its most adverse manifestation, an acute myocardial infraction (AMI). The majority of these patients present at least one of the standard modifiable risk factors (SMuRFs). These include smoking, hypertension, dyslipidemia, and diabetes mellitus (DM). However, emerging scientific evidence recognizes a clinically significant proportion of patients presenting with life-threatening AMI without any SMuRF (SMuRF-less patients). This proportion of patients with ACS without SMuRF appears to be increasing during the last two decades and has recently been reported as high as 20% (of total AMIs). To date, there are no scientific data capable of highlighting specific risk factors-biomarkers responsible for the development of AMIs SMuRF-less patients. Concurrently, metabolomics is rapidly evolving as a novel technique of studying small molecule substrates, intermediates and products of cell metabolism. This technique could be utilized to flag patients with higher risk for increased atherosclerotic burden, and subsequent future adverse clinical events. Besides the already established biomarkers, several metabolomic indicators, such as ceramides (C16, C18 και C24), acylcarnitines, apolipoproteins (ApoΒ and ApoA1) and adiponectin, have been separately shown to increase the risk for coronary artery disease development and progression. Therefore, the two groups of patients (with SMuRFs vs SMuRF-less) will be compared regarding their metabolic fingerprints -specifically the aforementioned novel metabolomic biomarkers- and possible predictive factors leading to SMuRF-less AMI will be evaluated. On the basis of the above, the aim is to prospectively analyze a cohort of well-characterized patients with AMI. The rationale of the study is to investigate potential correlations between metabolic profile of patients and SMuRF-less AMI. This could lead to the development of predictive risk stratification algorithms for patients without SMuRFs and coronary artery disease.
During the study, the resuscitation room, general wards and ICU were installed fixed or mobile acquisition devices in the resuscitation room, the emergency department of Peking Union Medical College Hospital, and the collection platform was set up. Patients with acute diseases (infection, diabetes complications, etc.) caused by metabolic syndrome (obesity, diabetes, etc.) were selected after informed consent. All medical intervention behaviors, relevant medical records and medical outcome records within the collection scope of the device platform were collected prospectively . And regular follow-up, guidance of patients with metabolic syndrome control, while collecting all the lifestyle characteristics of patients, some patients with metabolic cabin research, and observe the relevant medical outcomes. After that, all the collected data were coded, and the influence of all lifestyle and medical behavior interventions on patients' medical outcomes was studied by artificial intelligence method.