Programme bilatéral de recherche collaborative Québec - Fédération Wallonie-Bruxelles / Bilateral Program for Collaborative Research Québec - Fédération Wallonie-Bruxelles
(Appel bilatéral pour Projets de recherche FRQ - Québec 2018/Bilateral Call for Research Projects FRQ - Québec 2018)
IREC's CARD pole received an important grant related to the Programme bilatéral de recherche collaborative Québec - Fédération Wallonie-Bruxelles / Bilateral Program for Collaborative Research Québec - Fédération Wallonie-Bruxelles (Appel bilatéral pour Projets de recherche FRQ - Québec 2018/Bilateral Call for Research Projects FRQ - Québec 2018).
Main Promoter from the Wallonia-Brussels Federation: Christophe Beauloye - (1) - UCLouvain
Principal investigator from Quebec : Christine Des Rosiers, Institut de Cardiologie de Montréal, Montréal
Co-promoter(s) and co-investigator(s):
Anne-Catherine Pouleur, UCLouvain
Luc Bertrand, UCLouvain
Sandrine Horman, UCLouvain
Jean-Claude Tardif, Institut de Cardiologie de Montréal
Julie Hussin, Institut de Cardiologie de Montréal
Pierre Chaurand, Université de Montréal
Belgian and Canadian Metabolomics in Heart Failurewith Preserved Ejection Fraction (HFpEF) -BECAME-HFpEF
This project is aimed at identifying biomarkers associated with heart failure (HF) with preserved ejection fraction (HFpEF), a medical condition currently poorly manageable. HFpEF is a challenging clinical entity in modern cardiology. Given thatone of the strongest evidences is that co-morbidities and heart environment are key elements associated with HFpEF, we will test the hypothesis that the metabolic profile differs between HFpEF and HFrEF or vs. healthy controls, and that circulating metabolic factors could either be markers and/or actors in HFpEF pathogenesis. Building on our team’s multidisciplinary and complementary expertise, samples from available and well-phenotyped cohorts of more than 700 patients or controls generated in Brussels and Montreal will be analyzed using mass spectrometry-based targeted and untargeted analysis of >1,000 metabolites. Network analysis and machine learning that have recently been introduced in the “omic” field will be applied to the data mining of these analyses. Synergizing the Belgian and Quebec Teams’ efforts and established collaborations, this project will provide bases for further clinical validation of the candidate biomarkers and testing of identified mechanisms as targets for diagnosis, follow-up and/or nonpharmacological or pharmacological therapeutic interventions.