TY - JOUR
T1 - Circulating metabolites and fatty acids associated with ultra-processed food consumption
T2 - results from the EPIC study
AU - Blanco-Lopez, Jessica
AU - Yammine, Sahar
AU - Rothwell, Joseph A
AU - His, Mathilde
AU - Biessy, Carine
AU - Keski-Rahkonen, Pekka
AU - Chimera, Bernadette
AU - Jacobs, Inarie
AU - Al Nahas, Aline
AU - Koc Cakmak, Emine
AU - Robinson, Oliver
AU - Morales Berstein, Fernanda
AU - Cairat, Manon
AU - Chang, Kiara
AU - Vamos, Eszter P
AU - Millet, Christopher
AU - Bertazzi Levy, Renata
AU - Rauber, Fernanda
AU - Rinaldi, Sabina
AU - Vineis, Paolo
AU - Harewood, Rhea
AU - Sánchez, Maria-Jose
AU - Guevara, Marcela
AU - Huerta, Jose Maria
AU - Crous-Bou, Marta
AU - Borch Ibsen, Daniel
AU - Dahm, Christina C
AU - Olsen, Anja
AU - Kyrø, Cecilie
AU - Bendinelli, Benedetta
AU - Gargano, Giuliana
AU - Tumino, Rosario
AU - Sacerdote, Carlotta
AU - Pasanisi, Fabrizio
AU - van der Schouw, Yvonne
AU - Mancini, Francesca
AU - Frenoy, Pauline
AU - Marques, Chloé
AU - Skeie, Guri
AU - Brustad, Magritt
AU - Nicolas, Genevieve
AU - Papadimitriou, Nikos
AU - Wu, Diana
AU - Gonzalez-Gil, Esther M
AU - Gunter, Marc J
AU - Ferrari, Pietro
AU - Kliemann, Nathalie
AU - Huybrechts, Inge
N1 - Publisher Copyright:
© 2026 Taylor & Francis Group, LLC.
PY - 2026
Y1 - 2026
N2 - Emerging evidence links consumption of ultra-processed foods (UPF) to higher risks of non-communicable diseases and mortality, but the underlying mechanisms remain unclear. This study aimed to identify molecular signatures of UPF intake in participants from the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Foods were classified into four groups using the Nova system, including UPF. The analysis included 6,177 participants with data on 129 endogenous metabolites and 9,029 with data on 37 plasma fatty acids (FAs) from EPIC nested case-control studies. Concentrations were normalized across batches and centers. UPF intake (grams/day) was linked to metabolite and FA profiles using linear and LASSO regression models, adjusted for demographic, lifestyle, and dietary factors. UPF intake was associated with 22 circulating metabolites and eight plasma FAs. Most metabolite associations were inverse, particularly for compounds involved in energy (e.g., asparagine) and lipid metabolism (e.g., propionyl carnitine, glycerophospholipids, and sphingomyelins). FA profiles showed positive associations with industrial trans fats (e.g., elaidic acid), long-chain saturated FAs (e.g., stearic acid), and n-6 polyunsaturated FAs (e.g., dihomo-γ-linolenic acid). UPF consumption is associated with distinct metabolic and fatty acid profiles, providing insights into potential biological pathways linking UPF to adverse health outcomes.
AB - Emerging evidence links consumption of ultra-processed foods (UPF) to higher risks of non-communicable diseases and mortality, but the underlying mechanisms remain unclear. This study aimed to identify molecular signatures of UPF intake in participants from the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Foods were classified into four groups using the Nova system, including UPF. The analysis included 6,177 participants with data on 129 endogenous metabolites and 9,029 with data on 37 plasma fatty acids (FAs) from EPIC nested case-control studies. Concentrations were normalized across batches and centers. UPF intake (grams/day) was linked to metabolite and FA profiles using linear and LASSO regression models, adjusted for demographic, lifestyle, and dietary factors. UPF intake was associated with 22 circulating metabolites and eight plasma FAs. Most metabolite associations were inverse, particularly for compounds involved in energy (e.g., asparagine) and lipid metabolism (e.g., propionyl carnitine, glycerophospholipids, and sphingomyelins). FA profiles showed positive associations with industrial trans fats (e.g., elaidic acid), long-chain saturated FAs (e.g., stearic acid), and n-6 polyunsaturated FAs (e.g., dihomo-γ-linolenic acid). UPF consumption is associated with distinct metabolic and fatty acid profiles, providing insights into potential biological pathways linking UPF to adverse health outcomes.
KW - EPIC
KW - Targeted metabolomics
KW - fatty acids
KW - food processing
KW - metabolic signatures
KW - nova classification
KW - ultra-processed foods
UR - https://www.scopus.com/pages/publications/105044088290
U2 - 10.1080/10408398.2026.2629025
DO - 10.1080/10408398.2026.2629025
M3 - Article
C2 - 42409074
SN - 1040-8398
VL - 66
SP - 4805
EP - 4818
JO - Critical Reviews in Food Science and Nutrition
JF - Critical Reviews in Food Science and Nutrition
IS - 25
ER -