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通过精准营养优化人口健康的 21 世纪工具包。

21st century toolkit for optimizing population health through precision nutrition.

机构信息

a University College Dublin , Dublin , Ireland.

b Foods for Health Institute , University of California , Davis , USA.

出版信息

Crit Rev Food Sci Nutr. 2018;58(17):3004-3015. doi: 10.1080/10408398.2017.1348335. Epub 2017 Aug 22.

DOI:10.1080/10408398.2017.1348335
PMID:28678528
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6309929/
Abstract

Scientific, technological, and economic progress over the last 100 years all but eradicated problems of widespread food shortage and nutrient deficiency in developed nations. But now society is faced with a new set of nutrition problems related to energy imbalance and metabolic disease, which require new kinds of solutions. Recent developments in the area of new analytical tools enable us to systematically study large quantities of detailed and multidimensional metabolic and health data, providing the opportunity to address current nutrition problems through an approach called Precision Nutrition. This approach integrates different kinds of "big data" to expand our understanding of the complexity and diversity of human metabolism in response to diet. With these tools, we can more fully elucidate each individual's unique phenotype, or the current state of health, as determined by the interactions among biology, environment, and behavior. The tools of precision nutrition include genomics, metabolomics, microbiomics, phenotyping, high-throughput analytical chemistry techniques, longitudinal tracking with body sensors, informatics, data science, and sophisticated educational and behavioral interventions. These tools are enabling the development of more personalized and predictive dietary guidance and interventions that have the potential to transform how the public makes food choices and greatly improve population health.

摘要

在过去的 100 年里,科学、技术和经济的进步几乎消除了发达国家普遍存在的粮食短缺和营养缺乏问题。但现在,社会面临着与能量失衡和代谢性疾病相关的一系列新的营养问题,这需要新的解决方案。新分析工具领域的最新发展使我们能够系统地研究大量详细的多维代谢和健康数据,为通过精准营养的方法解决当前的营养问题提供了机会。这种方法整合了不同类型的“大数据”,以扩大我们对人类代谢对饮食的复杂性和多样性的理解。有了这些工具,我们可以更全面地阐明每个人独特的表型,或者由生物学、环境和行为相互作用所决定的当前健康状况。精准营养的工具包括基因组学、代谢组学、微生物组学、表型分析、高通量分析化学技术、带有身体传感器的纵向跟踪、信息学、数据科学以及复杂的教育和行为干预。这些工具正在推动更个性化和可预测的饮食指导和干预措施的发展,这些措施有可能改变公众的食物选择方式,并极大地改善人口健康。

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