(Poly)phenols (PPs) are a group of bioactive compounds found in plant-based food, widely consumed within diet. Several studies have reported the beneficial effects of PPs in preventing chronic diseases through a myriad of mechanisms of action. However, the bioavailability and effects of these compounds greatly differ across individuals, causing uneven physiological responses. To understand their inter-individual variability, we present a multi-omics investigation comprising genomics, metagenomics and metabolomics. We recruited 300 healthy individuals and collected biological samples (blood, urine, and faeces), anthropometric measurements, health status and lifestyle/dietary information. After identification by UPLC-IMS-HRMS and quantification by UPLC-QqQ-MS/MS, the large set of phenolic metabolites underwent dimensionality reduction and clustering to identify individuals with similar metabolic profiles (metabotypes), identifying high and low PP producers. Then, genomics and metagenomics investigations were performed to gain insights on inter-individual differences and unravel the potential pathophysiological impact of these molecules, with particular regards to cardiometabolic diseases. In details, genome-wide association studies followed by computational functional analyses on genetic variants, and taxonomic and functional investigations of gut microbiome were performed, showing hints for associations in genes and microbial species related to PP metabolism, together with unprecedented genetic associations. Genomics were further investigated in terms of gene networks and computational functional analyses, identifying differentially expressed genes, gene sets enrichments, candidate regulatory regions, and interacting loci and chromatin states, and associations with metabolic traits and diseases. Overall, we demonstrated the benefits of omics research in nutrition, advancing the field of personalised nutrition and health.
How (poly)phenols can shape a healthier life? A nutri-omics investigation on their cardiometabolic health effects / Treccani, Mirko; Mignogna, Cristiana; Ghiretti, Lucia; Rinaldi De Alvarenga, Jose' Fernando; Favari, Claudia; Bragazzi, Nicola; Morandini, Maria Sole; Del Burgo Gutierrez, Cristina; Rosi, Alice; Negro, Cristiano; Bergamo, Federica; Bresciani, Letizia; Turroni, Francesca; Ventura, Marco; Dei Cas, Alessandra; Bonadonna, Riccardo; Barili, Valeria; Malerba, Giovanni; Del Rio, Daniele; Martorana, Davide; Mena, Pedro. - (2025). (Intervento presentato al convegno 33rd Conference on Intelligent System for Molecular Biology and 24th European Conference on Computational Biology (ISMB/ECCB 2025) tenutosi a Liverpool, UK nel 2025-07-20/24).
How (poly)phenols can shape a healthier life? A nutri-omics investigation on their cardiometabolic health effects
Mirko Treccani
;Cristiana Mignogna;Lucia Ghiretti;Jose Fernando Rinaldi de Alvarenga;Claudia Favari;Nicola Bragazzi;Maria Sole Morandini;Cristina Del Burgo-Gutierrez;Alice Rosi;Cristiano Negro;Federica Bergamo;Letizia Bresciani;Francesca Turroni;Marco Ventura;Alessandra Dei Cas;Riccardo Bonadonna;Valeria Barili;Daniele Del Rio;Davide Martorana;Pedro Mena
2025-01-01
Abstract
(Poly)phenols (PPs) are a group of bioactive compounds found in plant-based food, widely consumed within diet. Several studies have reported the beneficial effects of PPs in preventing chronic diseases through a myriad of mechanisms of action. However, the bioavailability and effects of these compounds greatly differ across individuals, causing uneven physiological responses. To understand their inter-individual variability, we present a multi-omics investigation comprising genomics, metagenomics and metabolomics. We recruited 300 healthy individuals and collected biological samples (blood, urine, and faeces), anthropometric measurements, health status and lifestyle/dietary information. After identification by UPLC-IMS-HRMS and quantification by UPLC-QqQ-MS/MS, the large set of phenolic metabolites underwent dimensionality reduction and clustering to identify individuals with similar metabolic profiles (metabotypes), identifying high and low PP producers. Then, genomics and metagenomics investigations were performed to gain insights on inter-individual differences and unravel the potential pathophysiological impact of these molecules, with particular regards to cardiometabolic diseases. In details, genome-wide association studies followed by computational functional analyses on genetic variants, and taxonomic and functional investigations of gut microbiome were performed, showing hints for associations in genes and microbial species related to PP metabolism, together with unprecedented genetic associations. Genomics were further investigated in terms of gene networks and computational functional analyses, identifying differentially expressed genes, gene sets enrichments, candidate regulatory regions, and interacting loci and chromatin states, and associations with metabolic traits and diseases. Overall, we demonstrated the benefits of omics research in nutrition, advancing the field of personalised nutrition and health.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
