New chemical signatures in blood and urine can precisely measure your dietary intake, potentially offering a new tool to develop health policies.
New study has identified several chemical signatures, detectable in blood and urine, that can precisely measure dietary intake, potentially offering a new tool for physicians, dieticians, and researchers to evaluate eating habits, measure the value of fad diets, and develop health policies. The findings of the study are published in the journal Nutrients. The research addresses a major challenge in assessing diets: studies in nutrition largely rely on participants to record their own food intake, which is subject to human error, forgetfulness, or omission.
‘Evidence has linked unhealthy eating patterns with an alarming increase in obesity and chronic disease worldwide. However, existing methods of assessing dietary intake are prone to bias and selective reporting.
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"This has been a major issue in nutritional research and maybe one of the main reasons for the lack of real progress in nutritional sciences and chronic disease prevention," says Philip Britz-McKibbin, a professor in the Department of Chemistry and Chemical Biology at McMaster University and lead author of the study, which was a collaboration with Dr. Sonia Anand and colleagues from the Departments of Medicine, and Health Research, Evidence, and Impact.Scientists set out to determine if they could identify chemical signatures, or metabolites that reflect changes in dietary intake measure those markers and then compare the data with the foods study participants were provided and then reported they had eaten. The specimens analyzed were from healthy individuals who participated in the Diet and Gene Intervention Study (DIGEST).
Over a two-week period, researchers studied two contrasting diets: the Prudent diet, rich in fruits, vegetables, lean meats, and whole grains, and a contemporary Western diet, rich in trans fats, processed foods, red meat, and sweetened beverages.
Researchers were able to validate a panel of metabolites in urine and plasma that correlated with the participants' consumption of fruits, vegetables, protein, and/or fiber.
"We were able to detect short-term changes in dietary patterns which could be measured objectively," says Britz-McKibbin. "And it didn't take long for these significant changes to become apparent."
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In the future, he hopes to broaden this work by examining a larger cohort of participants over a longer period of time. His team is also exploring several ways to assess maternal nutrition during crucial stages of fetal development and its impact on obesity and metabolic syndrome risk in children.
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