Association of ultra-processed food-related metabolites with selected biochemical markers in the UK Biobank.

ABSTRACT:

Background

Ultra-processed food (UPF) intake is positively associated with multiple adverse health outcomes. However, the underlying biological mechanisms remain unclear. Serum metabolites may elucidate these mechanisms. We investigated serum metabolites correlated with UPF and un/minimally processed food (UNPF) intake and evaluated their association with selected biochemical markers.

Methods

Cross-sectional study within the UK biobank, including a total of 72,817 participants with 24-hour recall dietary data and 134 nuclear magnetic resonance metabolites. UPF and UNPF intakes were evaluated using the NOVA classification, and related metabolites were identified using elastic net penalized regression. A UPF metabolomic signature was computed as a weighted sum of UPF-related m

SUBMITTER: Kityo A 

PROVIDER: S-EPMC11786352 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature