A systems biology approach to resolve the molecular pathology of two hallmarks of patients with metabolic syndrome and its co-morbidities; hypertriglyceridemia and low hdl-cholesterol

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Project Title: A systems biology approach to resolve the molecular pathology of two hallmarks of patients with metabolic syndrome and its co-morbidities; hypertriglyceridemia and low hdl-cholesterol
Project Number: CORDIS-106225
Project web address: Follow on CORDIS
Organization: Akademisch Ziekenhuis Groningen, Netherlands, Groningen
Collaborators: University Of Zurich, CH
Goeteborgs Universitet, SE
Technische Universiteit Eindhoven, NL
Foundation For Research And Technology Hellas, GR
Helsingin Yliopisto, FI
Universitaetsklinikum Hamburg-Eppendorf, DE
Novamen Sas, FR
Acies Consulting Group Sas, FR
Institut Pasteur De Lille Fondation, FR
Centrum Fur Angewandte Nanotechnologie (Can) Gmbh, DE
Universitair Ziekenhuis Antwerpen, BE
Genexplain Gmbh, DE
Principal Investigators (PI): Zinovia Papatheodorou, GR
Tiina Berg, FI
Fabienne Jean, FR
Rob Debeij, NL
Ellen Rydberg, SE
Marie-Laure Muiras, FR
Erwin J Van Der Meijden, NL
Holger Michael, DE
Arnold Von Eckardstein, CH
Luc Van Gaal, BE
Frank Schröder-Oeynhausen, DE
Jörg Heeren, DE
Marijke Bijker-Schreurs, NL
 
Project Description:
Through combining basic pre-clinical and clinical research, network analysis and computational modelling, RESOLVE aims at resolving the disturbed dynamics and mechanisms underlying the high triglyceride (HTG) and low high-density lipoprotein cholesterol (HDL-C) phenotype and insulin resistance in patients with metabolic syndrome (MetS) and its associated co-morbidities (cardiovascular disease, CVD; type 2 diabetes, T2DM; non-alcoholic fatty liver disease, NAFLD). RESOLVE will deliver on 6 specific objectives:i) build a computational model for analyzing the kinetics of plasma lipids, lipoproteins and their interactions with glucose metabolism.ii) apply the iterative systems biology cycle for calibrating, validating and improving the computational model in dedicated studies in miceiii) build, calibrate and validate the computational model for use in humans.iv) analyze – based on model and experimental data – which processes in the murine metabolic network regulate the physiological response to perturbations in lipid, lipoprotein and glucose metabolism and how these interact.v) analyze – based on model and experimental data – which processes in the human metabolic network regulate the physiological response to perturbations in lipid, lipoprotein and glucose metabolism and how these interactvi) use the human model to identify network-based drug targets aimed at restoring the metabolic dyslipidemia and glycemic control in patients with MetS and associated comorbidities.RESOLVE 60-months project will result into a novel strategy for development of therapeutic strategies for MetS patients with T2DM, NAFLD or CVD.
 
Project Terms:
scientific research
Project Title: A systems biology approach to resolve the molecular pathology of two hallmarks of patients with metabolic syndrome and its co-morbidities; hypertriglyceridemia and low hdl-cholesterol
Project Number: CORDIS-106225
Project web address: Follow on CORDIS
Organization: Akademisch Ziekenhuis Groningen, Netherlands, Groningen
Collaborators: University Of Zurich, CH
Goeteborgs Universitet, SE
Technische Universiteit Eindhoven, NL
Foundation For Research And Technology Hellas, GR
Helsingin Yliopisto, FI
Universitaetsklinikum Hamburg-Eppendorf, DE
Novamen Sas, FR
Acies Consulting Group Sas, FR
Institut Pasteur De Lille Fondation, FR
Centrum Fur Angewandte Nanotechnologie (Can) Gmbh, DE
Universitair Ziekenhuis Antwerpen, BE
Genexplain Gmbh, DE
Principal Investigators (PI): Zinovia Papatheodorou, GR
Tiina Berg, FI
Fabienne Jean, FR
Rob Debeij, NL
Ellen Rydberg, SE
Marie-Laure Muiras, FR
Erwin J Van Der Meijden, NL
Holger Michael, DE
Arnold Von Eckardstein, CH
Luc Van Gaal, BE
Frank Schröder-Oeynhausen, DE
Jörg Heeren, DE
Marijke Bijker-Schreurs, NL
 
Project Categories:
Natural Sciences > Aging Diseases and Pathology
 
Other Information:
Fiscal Year: 2013
Project Start Date: 1 January 2013
Project End Date: 31 December 2017
Project program: FP7-HEALTH
 
Project Funding Information:
Funding Mechanism: CP-IP - Large-scale integrating project
Year Funding Organization Total Funding, $
2013 European Research Council $15,042,614