View clinical trials related to Syndromic Obesity.
Filter by:The aim of the SEMASEARCH project is therefore to constitute a retrospective cohort, from the available data on patients already included in the ATUc/AP2, and prospective, on new patients who will initiate treatment according to the AP2 PUT, of 15 Specialized Obesity Centers in order to describe the effect of WEGOVY® treatment in this population. Thanks to a high phenotyping, subpopulations of interest will be identified to know the specifics of the effect of the treatment in these subgroups of interest. Secondary analyses will aim to look for clinical or biological biomarkers of success in the weight response to WEGOVY® in the entire prospective cohort, but also in specific subpopulations. In summary, the analysis of the entire SEMASEARCH cohort and sub-populations of interest will be based on a complete clinical phenotyping of patients (included in retrospective and prospective studies), completed by ad hoc questionnaires and associated with biological markers (prospective) partly collected within the framework of the WEGOVY® AP (glycaemia, hepatic assessment, lipid assessment ) and partly from a biobank to test specific hypotheses (predictive role of leptin sensitivity, insulin sensitivity level, plasma level of endocannabinoids, etc.). In addition, approaches using artificial intelligence (AI), notably machine learning, will make it possible to determine the variables or combination of variables that are most predictive of the weight response to treatment with WEGOVY® in the largest population. Indeed, individual weight loss in response to weight loss strategies is highly variable, whether purely related to lifestyle changes or pharmacological. Well-known factors associated with the ability to lose weight include adherence to lifestyle change, gender, age and specific medications. However, after controlling for these factors, differences in weight loss appear to persist in response to different interventions including pharmacological ones. Adaptation to energy deficit involves complex feedback mechanisms, and inter-individual differences are likely to arise from a range of poorly defined factors. Thus, a better understanding of the factors involved in inter-individual variability in response to WEGOVY® will help guide more personalised approaches to the management of these patients. AI techniques will be used to determine which combination of clinical or biological variables are most predictive of weight response.
Syndromic obesity are rare forms of obesity (1% of cases), involving severe obesity and early to multi organ involvement (mental retardation, dysmorphic, sensorineural damage and / or endocrine). To date, the genetic defects are identified in only 5% of cases (Prader-Willi syndrome, Bardet-Biedl syndrome, mutation of leptin or its receptor, the proconvertase-1, proopiomelanocortin or SIM-1 and TRKB genes, high resolution karyotype or abnormal DNA chips, ...). Precocity and severity of obesity are those for a little dependent genetic environment. The investigators aim is to identify new gene variants in subjects with syndromic obesity sharing common phenotypic features.
The overall objective is to explore the mechanisms by which macronutrients regulate food intake and weight gain in Prader Willi Syndrome (PWS). Previous studies from the investigators' labs suggest that the increased appetite of PWS may be triggered or maintained by an increase in the levels of ghrelin, an appetite-stimulating hormone produced primarily by the stomach. This study will compare the effects of low carbohydrate diet versus low fat diet on levels of ghrelin, appetite suppressing hormones and markers of insulin sensitivity in patients with PWS. The investigators hypothesize that the low carbohydrate diet will suppress plasma active ghrelin and increase appetite-suppressing hormones to a greater degree and for longer duration than the low fat diet and will thereby reduce hyperphagia and increase satiety. The investigators also hypothesize that the low carb diet will improve hormonal and metabolic markers (fatty acids, amino acids and organic acids) of insulin sensitivity and inflammatory cytokine profiles of children with PWS.
Comparative genomic hybridization (CGH) array technology has been used in numerous studies on mental retardation, and few chromosomal abnormalities have been identified in patients. Because chromosomal abnormalities have still been associated with obesity, we can expect that syndromic obesity is also associated with small deletions/duplications. Characterization of deleted or duplicated loci in these obese patients would mean that these loci include genes implicated in obesity. This will permit to propose new gene(s) involved in obesity. (In french: Caractérisation phénotypique et recherche de REManiements chromosomiques chez des patients présentant une OBésité syndromique de cause non identifiée : REMOB)