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Investigating aspects of metabolism pertinent to atherosclerosis utilizing computational techniques.

Project description

Systems medicine approach to investigate metabolic factors affecting atherosclerosis development

Funded by the Marie Skłodowska-Curie Actions programme, the IMPACT project will use a systems medicine approach to develop therapeutic approaches for atherosclerotic cardiovascular disease (ACVD) and evaluate factors that contribute to cholesterol metabolism. The project will create a linear programming (LP) algorithm for models of human and microbiome metabolism and to identify optimal microbes and nutrients affecting specific metabolic pathways. The model of cholesterol metabolism will be trained and validated using human data. The in-silico analysis will identify metabolic pathways, microbiome composition, diet, and their influence on cholesterol metabolism and ACVD risks. The metabolic pathways will be analysed using the LP algorithm to discover microbial and nutritional therapies preventing the progression of ACVD.

Objective

Cardiovascular disease (CVD) claims 17.9 million lives and costs the European economy €210 billion annually. New, innovative strategies are needed to address this health crisis. IMPACT takes a systems medicine approach to extend our understanding of the factors that contribute to cholesterol metabolism and to develop innovative therapeutic approaches for atherosclerotic cardiovascular disease (ACVD). IMPACT has three objectives: 1) Develop an LP algorithm that analyzes models of human and microbiome metabolism to identify optimal microbes and nutrients that may influence metabolic pathways of interest. 2) Develop a detailed model of cholesterol metabolism, that is trained and validated using human data, by synergistically merging FBA models with an ordinary differential equation (ODE) model of cholesterol transport. Simulations and statistical analysis on the in-silico results will be conducted to identify metabolic pathways related to ACVD and to investigate how variables such as microbiome composition, sex, obesity, and diet influence cholesterol metabolism and ACVD risk. 3) Metabolic pathways related to ACVD risk will be targeted by the LP algorithm to identify optimal microbial and nutritional therapies that can treat and/or diminish the progression of ACVD. Promising bacterial strains and nutrients will be tested with in-vivo gut simulators in an intersectoral secondment with International Flavors & Fragrances Inc. Results of the proposed research will be effectively disseminated and exploited to maximize IMPACT. While the action serves to extend the state-of-the-art and address a health crisis, IMPACT will simultaneously expand my technical knowledge and transferable skills, bolster my credentials and enhance my career competitiveness through intersectoral exposure.

Coordinator

UNIVERSITY OF GALWAY
Net EU contribution
€ 199 694,40
Address
UNIVERSITY ROAD
H91 Galway
Ireland

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Region
Ireland Northern and Western West
Activity type
Higher or Secondary Education Establishments
Links
Total cost
No data

Partners (2)