DSM and the University Medical Center Groningen (UMCG) will collaborate on new research to determine how nutrient status is connected to phenotypes.
The project will then map nutritional status against health outcomes in certain populations, in order to further establish why some people develop chronic illnesses early in life, while others remain healthy into old age.
Typically, surveys or food diaries are used to determine vitamin intake but such data are often flawed due to inaccurate reporting.
Biochemical assessment of vitamin status and intake through plasma or urine samples provides far more realistic data.
The findings of these assessments can then be connected to phenotypes like high blood pressure, type 2 diabetes, non-alcoholic steatohepatitis, obesity or exposure to air pollution.
UMCG’s research program focuses on healthy ageing and uses the LifeLines cohort study, which the latter aims to investigate multifactorial, age-related diseases and the interactions between environmental, phenotypic and biological factors over a period of 30 years.
Participants span three generations and data collected include anthropometry, blood pressure, lung function, cognition and urine samples.
The partnership with DSM will assess micronutrient status in 1,600 people aged 60-75 years.
“Vitamin intake in cohorts is traditionally assessed from food questionnaires. LifeLines is a unique cohort because almost all 167,729 participants have collected 24-hour urine samples. Because vitamins and their metabolic break-down products are excreted in urine, measurements in 24-hour urine will provide us better and more unbiased estimates of intake,” says Stephan J.L. Bakker, Professor of Internal Medicine and Systems Medicine at UMCG.
“By combining this with measurement of status markers and functional markers of a large array of vitamins, we will generate new data that are unique in this field. Such data are important for identifying the role of vitamin supplementation in so-called personalized health care and precision medicine strategies.”
“Through this collaboration, we will now be able to understand how nutrient status varies by socio-economic group and map these data against phenotypes and health outcomes in the evaluated cohorts,” comments Professor Manfred Eggersdorfer, senior VP, Nutrition Science & Advocacy at DSM and Professor of Healthy Ageing at the university.
“Our analysis has the potential to lead to faster identification of diseases and will complement further research into preventing chronic disorders in low and high socio-economic groups. This would have a significant impact on public health globally.”
