A computational reference for human genomics analysis in (poly)phenol research

Treccani, Mirko, Ghiretti, Lucia, Tosi, Nicole, Mignogna, Cristiana, Minihane, Anne Marie, Barili, Valeria, Del Rio, Daniele, Martorana, Davide and Mena, Pedro (2025) A computational reference for human genomics analysis in (poly)phenol research. Food and Function, 16 (24). pp. 9408-9421. ISSN 2042-6496

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Abstract

(Poly)phenols are bioactive compounds found in plant-based food. They have been associated with numerous health-promoting features. To date, several research studies are investigating their contribution to human health and disease by applying different omics techniques. However, a standard reference for human genomics investigation is missing, limiting the current understanding and knowledge on the impact of (poly)phenols on humans when using omics approaches. In this study, we present a computational functional investigation of 121 candidate human genes involved in (poly)phenol absorption, distribution, metabolism, and excretion to propose a standard reference for genomics analyses in personalised nutrition and health research. Starting from genomics information, this reference framework includes gene networks, exploring their functional consequences and favouring the understanding of protein–protein interactions, thus paving the way for future multi-omics approaches.

Item Type:	Article
Additional Information:	The data supporting this article have been included as part of the supplementary information (SI). Supplementary information is available. See DOI: https://doi.org/10.1039/d5fo03227j. Supplementary Fig. 1: Schematic representation of the k-means clustering on the STRING network. Supplementary Table 1: Complete list of enriched terms from the STRING network. Supplementary Table 2: STRING 8-means clustering. Supplementary Table 3: Gene-sets enrichment analysis from FUMAGWAS GENE2FUNC.
Uncontrolled Keywords:	food science,sdg 3 - good health and well-being ,/dk/atira/pure/subjectarea/asjc/1100/1106
Faculty \ School:	Faculty of Medicine and Health Sciences > Norwich Medical School
UEA Research Groups:	Faculty of Medicine and Health Sciences > Research Centres > Norwich Institute for Healthy Aging Faculty of Medicine and Health Sciences > Research Centres > Metabolic Health
Related URLs:	https://www.scopus.com/pages/publication...
Depositing User:	LivePure Connector
Date Deposited:	05 May 2026 08:29
Last Modified:	05 May 2026 08:29
URI:	https://ueaeprints.uea.ac.uk/id/eprint/102886
DOI:	10.1039/d5fo03227j

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