Cel
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 mice
iii) 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 interact
vi) 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.
Dziedzina nauki
- medical and health sciencesclinical medicineendocrinologydiabetes
- natural sciencesbiological sciencesbiochemistrybiomoleculeslipids
- medical and health sciencesclinical medicinecardiologycardiovascular diseases
- medical and health sciencesbasic medicinepathology
- medical and health sciencesclinical medicinehepatology
Zaproszenie do składania wniosków
FP7-HEALTH-2012-INNOVATION-1
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System finansowania
CP-IP - Large-scale integrating projectKoordynator
9713 GZ Groningen
Niderlandy
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Uczestnicy (13)
Zakończenie uczestnictwa
69002 LYON
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5612 AE Eindhoven
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8006 ZURICH
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59019 Lille
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20251 Hamburg
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70013 Irakleio
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38302 Wolfenbuttel
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20146 Hamburg
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2650 Edegem
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69002 LYON
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1105AZ Amsterdam
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405 30 Goeteborg
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00014 Helsingin Yliopisto
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