Rezzi Serge, Solari Soren, Bouche Nicolas, Baetge Emmanuel E
Nestle Nutr Inst Workshop Ser. 2016;84:111-9. doi: 10.1159/000436995. Epub 2016 Jan 14.
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.
营养研究正在经历一场范式转变，这就需要对饮食、基因、生活方式和环境因素之间的复杂相互作用进行建模。这需要开发针对多个数据和信息源的分析与处理能力，以便能够改进旨在维持健康的靶向性和个性化营养方法。理想情况下，此类知识将被用于支持相关概念的发展，即将消费者营养与医学营养相结合，并针对早期干预进行诊断靶向，以维持适当的代谢稳态并延缓慢性病的发作。营养状况是任何健康描述的基础，当与关于生活方式、环境和基因的其他数据相结合时，它可用于推动分层甚至个性化的营养策略，以维持健康和预防医学。在这项工作中，我们将讨论开发新的营养评估方法和营养状况诊断能力的重要性，以生成科学假设和可行的概念，从而开发出用于健康保护的靶向性并最终实现个性化的营养解决方案。我们描述了开发饮食营养素摄入量算法和整体营养概况分析平台的工作，以此作为理解复杂的营养与健康相互作用组的基础。
