“It can potentially give us some clues as to what the underlying biology might be between an ultraprocessed food association and a health outcome,” Loftfield said.
Typical nutrition studies rely on recall: asking people what they ate during a certain period. But such reports are notoriously unreliable because people don’t remember everything they ate, or they record it inaccurately.
“There’s a need for both a more objective measure and potentially also a more accurate measure,” Loftfield explained.
To create the new scores, Loftfield and her colleagues examined data from an existing study of more than 1,000 older U.S. adults who were AARP members. More than 700 of them had provided blood and urine samples, as well as detailed dietary recall reports, collected over a year.
The scientists found that hundreds of metabolites – products of digestion and other processes – corresponded to the percentage of energy a person consumes from ultraprocessed foods. From those, they devised a score of 28 blood markers and up to 33 urine markers that reliably predicted ultraprocessed food intake in people consuming typical diets.
“We found this signature that was sort of predictive of this dietary pattern that’s high in ultraprocessed food and not just a specific food item here and there,” she said.
A few of the markers, notably two amino acids and a carbohydrate, showed up at least 60 times out of 100 testing iterations. One marker showed a potential link between a diet high in ultraprocessed foods and type 2 diabetes, the study found.
To confirm the findings, Loftfield measured the scoring tool with participants in a carefully controlled 2019 National Institutes of Health study of ultraprocessed foods.
Loftfield’s team found that they could use the metabolite scores to tell when the individual participants were eating a lot of ultraprocessed foods and when they weren’t eating those foods.
The results suggested the markers were “valid at the individual level,” Loftfield said.
It’s still early research, but identifying blood and urine markers to predict ultraprocessed foods consumption is “a major scientific advance,” said Dr. Dariush Mozaffarian, director of the Food Is Medicine Institute at Tufts University, who was not involved in the study.
“With more research, these metabolic signatures can begin to untangle the biologic pathways and harms of UPF and also differences in health effects of specific UPF food groups, processing methods and additives,” he said.
Loftfield said she hopes to apply the tool to existing studies where blood and urine samples are available to track, for instance, the effect of consuming ultraprocessed foods on cancer risk.
At a time when support for government research is being cut, funding remains uncertain.
“There’s a lot of interest across the board — scientifically, public interest, political interest — in the question of: Does ultraprocessed food impact health and, if so, how?” she said. “How can we fund the studies that need to be done to answer these questions in a timely way?”
