Fatty Acid Metabolism - Interlinking Diet with Cardiometabolic Health. (FAME)
The overall objective is to use existing biobanked samples and dietary and phenotype data from cohort studies and randomized controlled trials to, a) identify novel lipidomics biomarkers of cardiometabolic health which could replace or be used in addition to fatty acid profiles as more sensitive biomarkers of status and of future cardiometabolic clinical events, b) establish relationships between whole diets and specific foods with tissue status of fatty acids as explanatory factors for diet relationships with cardiometabolic health, and c) to investigate genetic determinants of fatty acid status and metabolism which modify the physiological effects of dietary intake.
Results of the project may contribute to the refinement of, current food and nutrients based dietary guidelines, e.g. with regard to dairy intake, PUFA intake and plant-based diets and the targeting of intervention strategies aimed at improved cardiometabolic health to those most at risk and/or likely to benefit.
- WP1 - FA metabolites from lipidomics as novel biomarkers of cardiometabolic health. It will evaluate novel lipidomic markers as risk factors for cardiometabolic health/risk. Dietary FA intake is hypothesized to affect FA partitioning across different lipid families. Cardiometabolic risk will be investigated in terms of cross-sectional relationships between lipidomic markers and CVD risk factors as well as prospective analyses with regard to T2DM risk. Furthermore, we will investigate if relevant lipidomics markers can be modified by specific dietary interventions.
- WP2 - Identification of FA biomarkers of dairy intake and their interaction with health markers. The objectives of WP2 are threefold: 1) we will use data from human FA intervention RCTs, that used dairy in dietary manipulation, to determine whether FA such as C15:0, C17:0 and trans-palmitoleic acid are biomarkers of dairy SFA intake; 2) we will then determine whether changes in these FA and other trans-FA and SFA are related to cardiometabolic health/risk using both CVD and T2DM endpoint measures and risk biomarkers; and 3) lipidomic analysis will be performed (as described in WP1) and combined with phospholipid FA data to determine whether any novel biomarkers of cardiometabolic health include dairy SFA.
- WP3 - Identification of genetic and dietary modulators of response to dietary FA intake. It will evaluate genetic and dietary modulators of response to dietary FA intake. We will concentrate on dietary intake of polyphenols as well as genetic variants involved in PUFA metabolism. These potential modulators are hypothesized to modify the response to dietary intake of FAs in terms of their effect on FA composition and cardiometabolic risk.
Results of the project will help refine current dietary guidelines and the targeting of interventions aimed at improved cardiometabolic health towards those most likely to be at risk of disease and/or be most responsive.
Code PAIDI: CTS-525
José López Miranda . Partner.
Universidad de Córdoba
Budget of Andalusian group: € 100,000.00