NIH researchers develop biomarker score for predicting diets high in ultra-processed foods
Peer-Reviewed Publication
Updates every hour. Last Updated: 1-Sep-2025 20:11 ET (2-Sep-2025 00:11 GMT/UTC)
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.
A research team supported by the National Institutes of Health (NIH) has developed and safely delivered a personalized gene editing therapy to treat an infant with a life-threatening, incurable genetic disease. The infant, who was diagnosed with the rare condition carbamoyl phosphate synthetase 1 (CPS1) deficiency shortly after birth, has responded positively to the treatment. The process, from diagnosis to treatment, took only six months and marks the first time the technology has been successfully deployed to treat a human patient. The technology used in this study was developed using a platform that could be tweaked to treat a wide range of genetic disorders and opens the possibility of creating personalized treatments in other parts of the body.