Predicting the Health Impact of Dietary Polyphenols Using a Network Medicine Framework

Published: Aug. 28, 2020, 1:01 a.m.

Link to bioRxiv paper: http://biorxiv.org/cgi/content/short/2020.08.27.270173v1?rss=1 Authors: do Valle, I. F., Roweth, H. G., Malloy, M. W., Moco, S., Barron, D., Battinelli, E., Loscalzo, J., Barabasi, A.-L. Abstract: Polyphenols, natural products present in most plant-based foods, play a protective role against several complex diseases through their antioxidant activity and by diverse molecular mechanisms. Here we developed a network medicine framework to uncover the mechanistic roles of polyphenols on health by considering the molecular interactions between polyphenol protein targets and proteins associated with diseases. We find that the protein targets of polyphenols cluster in specific neighborhoods of the human interactome, whose network proximity to disease proteins is predictive of the known therapeutic effects of polyphenols. This finding allows us to predict that rosmarinic acid (RA) has a direct impact on platelet function, representing a novel mechanism through which it could affect cardiovascular health, and experimentally confirm that RA inhibits platelet aggregation and alpha granule secretion through inhibition of protein tyrosine phosphorylation. Our framework represents a starting point for mechanistic interpretation of the health effects underlying food-related compounds, allowing us to integrate into a predictive framework knowledge on food metabolism, bioavailability, and drug interaction. Copy rights belong to original authors. Visit the link for more info