Funded under the National Recovery and Resilience Plan (NRRP), Mission 4 Component 2 Investment 1.3, Theme 10.
Food (poly)phenol metabotypes and beta-cell mass and function
Coordinator
Development and validation of sustainable models of personalised/precision nutrition based on anthropometric, demographic, nutritional status, lifestyle habits, perceptive characteristics, psychosocial, metabolic response, genetic and metagenetic characteristics, also developing predictive tools for the identification of specific phenotypes and appropriate intervention strategies. Tasks include the definition and validation of improved dietary patterns to cover individual nutritional needs through sustainable and affordable foods/preparations (in connection with Spoke 1, 5 and 7) and the development of tools for the prediction at individual level of the metabolic, psychosocial, and physiological response to food intake (in connection with Spoke 6).
Identification and mapping of specific target groups (M12)
Definition of personalised/precision sustainable dietary patterns based on measurable factors (M24)
Development and validation of at least one new predictive approach for individual response to food intake (M36)
Food (poly)phenol intake is associated to a reduced risk of cardiometabolic diseases, including type 2 diabetes (T2D). The underlying mechanisms remain largely unknown. Some (poly)phenols may act directly on β-cells (bC)– which are key to maintain glucose (G) homeostasis - but no mechanistical studies exist in human β-cells/islets. Furthermore, distinct metabolic phenotypes (metabotypes, MT) of the response to (poly)phenols exist, and may be a primary determinant of differential exposure of bC to the putative bC enhancers/disruptors derived from (poly)phenols. We aim to i. assess whether different class(es) of (poly)phenol MT are associated with different bC function (bCF) and/or mass (bCM); ii. prove a cause-effect relationship between MT-specific candidate bC enhancers/disruptors and bC function and/or viability (in vitro surrogate index of bCM) by exploiting the experimental model of human bC derived from induced pluripotent stem cells (iPSC).
The results of the present project will allow i. the identification of specific metabotypes associated with different βCFxM (i.e. different T2D risk), in which tailored dietary advice may decrease specific disease risk; ii. the identification of novel (poly)phenol- and metabotype-related β-cell enhancers/disruptors and their mechanisms of action, thereby opening the avenue to novel tools for the assessment of and the intervention on T2D risk, both at the population and at the individual level. Both lines of evidence will be instrumental in developing and ushering in (poly)phenol metabotype (endotype)-specific nutrition in common practice: one size does NOT fit all.