Nutritional research is entering a paradigm shift which necessitates the modeling of complex interactions between diet, genetics, lifestyle, and environmental factors. This requires the development of analytical and processing capabilities for multiple data and information sources to be able to improve targeted and personalized nutritional approaches for the maintenance of health. Ideally, such knowledge will be employed to underpin the development of concepts that combine consumer and medical nutrition with diagnostic targeting for early intervention designed to maintain proper metabolic homeostasis and delay the onset of chronic diseases. Nutritional status is fundamental to any description of health, and when combined with other data on lifestyle, environment, and genetics, it can be used to drive stratified or even personalized nutritional strategies for health maintenance and preventive medicine. In this work, we will discuss the importance of developing new nutrient assessment methods and diagnostic capabilities for nutritional status to generate scientific hypotheses and actionable concepts from which to develop targeted and eventually personalized nutritional solutions for health protection. We describe efforts to develop algorithms for dietary nutrient intake and a holistic nutritional profiling platform as the basis of understanding the complex nutrition and health interactome.

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http://dx.doi.org/10.1159/000436995DOI Listing

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