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Circulating metabolites and fatty acids associated with ultra-processed food consumption: results from the EPIC study

  • Jessica Blanco-Lopez*
  • , Sahar Yammine
  • , Joseph A Rothwell
  • , Mathilde His
  • , Carine Biessy
  • , Pekka Keski-Rahkonen
  • , Bernadette Chimera
  • , Inarie Jacobs
  • , Aline Al Nahas
  • , Emine Koc Cakmak
  • , Oliver Robinson
  • , Fernanda Morales Berstein
  • , Manon Cairat
  • , Kiara Chang
  • , Eszter P Vamos
  • , Christopher Millet
  • , Renata Bertazzi Levy
  • , Fernanda Rauber
  • , Sabina Rinaldi
  • , Paolo Vineis
  • Rhea Harewood, Maria-Jose Sánchez, Marcela Guevara, Jose Maria Huerta, Marta Crous-Bou, Daniel Borch Ibsen, Christina C Dahm, Anja Olsen, Cecilie Kyrø, Benedetta Bendinelli, Giuliana Gargano, Rosario Tumino, Carlotta Sacerdote, Fabrizio Pasanisi, Yvonne van der Schouw, Francesca Mancini, Pauline Frenoy, Chloé Marques, Guri Skeie, Magritt Brustad, Genevieve Nicolas, Nikos Papadimitriou, Diana Wu, Esther M Gonzalez-Gil, Marc J Gunter, Pietro Ferrari, Nathalie Kliemann, Inge Huybrechts
*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)4805-4818
Number of pages14
JournalCritical Reviews in Food Science and Nutrition
Volume66
Issue number25
Early online date6 Jul 2026
DOIs
Publication statusPublished - 2026

Keywords

  • EPIC
  • Targeted metabolomics
  • fatty acids
  • food processing
  • metabolic signatures
  • nova classification
  • ultra-processed foods

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