IRP researchers develop biomarker score for predicting diets high in ultra-processed foods

Tuesday, May 20, 2025

Poly-metabolite scores could reduce reliance on self-reported dietary data in large population studies

For the first time, researchers at the National Institutes of Health (NIH) identified patterns of metabolites in blood and urine that can be used as an objective measure of an individual’s consumption of energy from ultra-processed foods. Metabolites are left after the body converts food into energy, a process known as metabolism. Scientists used these data to develop a score based on multiple metabolites, known as a poly-metabolite score, that has the potential to reduce the reliance on, or complement the use of, self-reported dietary data in large population studies. The findings appeared May 20, 2025, in PLOS Medicine.

“Limitations of self-reported diet are well known. Metabolomics provides an exciting opportunity to not only improve our methods for objectively measuring complex exposures like diet and intake of ultra-processed foods, but also to understand the mechanisms by which diet might be impacting health,” said lead investigator Erikka Loftfield, Ph.D., M.P.H., of NIH’s National Cancer Institute.

Diets high in ultra-processed foods, which are defined as ready-to-eat or ready-to-heat, industrially manufactured products, typically high in calories and low in essential nutrients, have been linked to increased risk of obesity and related chronic diseases, including some types of cancer. Large population studies quantifying the health effects of ultraprocessed foods typically rely on self-reported data from dietary questionnaires. Such measures may be subject to differences in reporting and may not account for changes in the food supply over time. As a result of this study, researchers now have an objective measure of ultra-processed food intake to help advance the study of associations between ultra-processed foods and health outcomes.