Obesity is one of the most serious and fast-growing health problem in the European Union, and a leading cause of diabetes. The main barrier for approval of an anti-obesity drug is the safety requirements. We propose to overcome this barrier by discovering phenotypes and biomarkers that identify subsets of patients with safe and efficacious responses to drugs, and by identifying new indications of existing drugs with proven safety profiles. To be approved, anti-obesity drugs need to show a decrease in abdominal fat. We focus on approaches targeting directly abdominal fat cells. In the last years only the cannabinoid CB1 receptor antagonist Rimonabant has been approved as a therapeutic agent to combat complicated obesity. Research performed with this drug has clearly revealed a role for the endogenous cannabinoid system in controlling energy homeostasis. However, its utility is limited to a restricted set of patients. A new phenotype and/or biomarker may identify responsive patients with good safety profiles. This proposal aims to discover novel or improved treatments in the shortest possible timeframe through three synergistic Specific Aims: 1) Clinical phenotyping of obese patients to identify those that would benefit from existing therapies such as Rimonabant. 2) Discover biomarkers for subsets of obese patients that may correlate with therapeutical outcomes. These biomarkers will be discovered by a novel approach called Combinatorial Cytomic Biomarkers developed by OrphaMed, applied to cells from two physiologically interlinked sources: blood and abdominal-fat samples, extracted from the above phenotyped patients. 3) Identify new indications of existing drugs, alone or in combination, with potential anti-obesity efficacy by lowering the fat content and the glucose uptake of abdominal fat cells, which would be expected to improve carbohydrate/lipid metabolism and lower body weight, extracted from the above phenotyped patients. This will be accomplished by screening approximately 2.000 known drugs against these fat cells using the novel technology platform “ExviTech” from OrphaMed. Candidates would be evaluated in animal models of obesity.
Appel à propositions
Voir d’autres projets de cet appel
Régime de financementCP-TP - Collaborative Project targeted to a special group (such as SMEs)
28760 Tres Cantos Madrid
Voir sur la carte