DSM and University Medical Centre Groningen collaborate on nutrient mapping project
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 (NASH), obesity or exposure to air pollution.
UMCG’s research programme focuses on Healthy Ageing. The LifeLines cohort study plays an important role in the Healthy Ageing approach of the University Medical Center Groningen (UMCG). The LifeLines cohort study 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 24h urine samples. Because vitamins and their metabolic break-down products are excreted in urine, measurements in 24h urine will provide us better and more unbiased estimates of intake. 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” says Stephan J.L. Bakker, Professor of Internal Medicine and Systems Medicine at the University Medical Center Groningen.
“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 Vice-President, Nutrition Science & Advocacy at DSM and Professor of Healthy Ageing at the University Medical Center Groningen. “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.”
University Medical Center Groningen
University Medical Center Groningen (UMCG) is one of the largest hospitals in the Netherlands and it is the biggest employer in the North of the country. A staff of over 12,000 people work in patient care and in leading medical research, focusing on ‘healthy ageing´. For its research and educational function the hospital has close ties with University of Groningen. Some 3,400 students are currently enrolled in degree courses to become physicians, dentist, or movement scientist, and over 450 are doing a medical residency. Patients come to UMCG for basic care, but also for highly specialized diagnostics, examinations or treatment. All patients in the North of the country with complicated or rare conditions are eventually referred to UMCG. Excellent care is always based on the latest insights and given by the best doctors and nursing staff. Together with the support services they always focus on that one common goal: building the future of health.
LifeLines is one of the most valuable multidimensional cohort studies and biobanks in the world. LifeLines offers a unique data resource for scientific use to study a broad scope of (epi)genetic, biomedical, environmental and psychosocial factors in relation to healthy ageing, disease development, and general well being. It is the largest infrastructure to perform scientific population-based studies in the Netherlands, with a size of over 165,000 individuals which will be followed-up for 30 years. It covers information on environmental exposures, (epi)genetics, psychological and social factors, as well as data on health care use to cover societal impact. Due to this broad scope, the large amount of participants and the long follow-up time, LifeLines forms a pivotal base for important breakthroughs in the screening, prevention, diagnosis, and treatment of (chronic) diseases as well as in the understanding of the etiology of disease.