TY - JOUR
AU - Chimera, Bernadette
AU - Cakmak, Emine Koc
AU - Blanco-Lopez, Jessica
AU - Berden, Jeroen
AU - Biessy, Carine
AU - Keski-Rahkonen, Pekka
AU - Nicolas, Geneviève
AU - Berlivet, Justine
AU - Lachat, Carl
AU - Srour, Bernard
AU - Murray, Kris A
AU - Vineis, Paolo
AU - Touvier, Mathilde
AU - Robinson, Oliver Jk
AU - Hanley-Cook, Giles
AU - Mangone, Lorenzo
AU - Zamora-Ros, Raul
AU - Tumino, Rosario
AU - Halkjær, Jytte
AU - Rostgaard-Hansen, Agnetha
AU - Grioni, Sara
AU - Sánchez, Maria-Jose
AU - Marques, Chloé
AU - Prada, Marcela
AU - Guevara, Marcela
AU - Sacerdote, Carlotta
AU - Santucci de Magistris, Maria
AU - Jacobs, Inarie
AU - Yammine, Sahar
AU - Kliemann, Nathalie
AU - Verschuren, Monique Wm
AU - Frenoy, Pauline
AU - Katzke, Verena
AU - Fortner, Renée T
AU - Skeie, Guri
AU - Rinaldi, Sabina
AU - Ferrari, Pietro
AU - Gunter, Marc J
AU - Deschasaux-Tanguy, Mélanie
AU - Huybrechts, Inge
TI - Metabolic profile of biodiverse diets in a healthy European cohort.
JO - The American journal of clinical nutrition
VL - 122
IS - 1
SN - 0095-9871
CY - Amsterdam
PB - Elsevier
M1 - DKFZ-2025-01199
SP - 208-220
PY - 2025
N1 - Volume 122, Issue 1, July 2025, Pages 208-220
AB - There is increasing evidence that diets characterized by food biodiversity could contribute to health outcomes. Greater dietary species diversity has been linked to reduced gastrointestinal cancer risk and all-cause mortality. However, mechanistic pathways supporting the association between food biodiversity and health are just beginning to be explored.To characterize the metabolic profile associated with food biodiversity of diets in a pan-European population.Dietary species richness (DSR), or the absolute number of unique species in an individual's diet, was calculated for 7,983 cancer-free control participants within the European Prospective Investigation into Cancer and Nutrition cohort study. Usual dietary intakes in the preceding year were assessed at recruitment with country-specific dietary questionnaires. Metabolomic profiles from blood which included 128 circulating endogenous metabolites,32 polyphenol compounds, and 39 fatty acid isomers were used as biomarkers of potential mechanisms underlying nutrition and health associations. Lasso regression identified key metabolites in discovery and replication sets, and multivariable stepwise linear regression were used to quantify associations between DSR and metabolomic profiles.A total of 52 metabolites were selected using Lasso regression in the replication set, of which 70
KW - Metabolomics (Other)
KW - biodiversity (Other)
KW - food biodiversity (Other)
KW - species richness (Other)
LB - PUB:(DE-HGF)16
C6 - pmid:40500642
DO - DOI:10.1016/j.ajcnut.2025.04.016
UR - https://inrepo02.dkfz.de/record/302000
ER -