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营养科学的未来支柱:将公共卫生重点与系统为导向的精准营养相结合。

The future backbone of nutritional science: integrating public health priorities with system-oriented precision nutrition.

机构信息

Agroscope, Bern, Switzerland.

Unisanté, University Center for Primary Care and Public Health, University of Lausanne, Lausanne, Switzerland.

出版信息

Br J Nutr. 2024 Sep 14;132(5):651-666. doi: 10.1017/S0007114524001466. Epub 2024 Sep 25.

Abstract

Adopting policies that promote health for the entire biosphere (One Health) requires human societies to transition towards a more sustainable food supply as well as to deepen the understanding of the metabolic and health effects of evolving food habits. At the same time, life sciences are experiencing rapid and groundbreaking technological developments, in particular in laboratory analytics and biocomputing, placing nutrition research in an unprecedented position to produce knowledge that can be translated into practice in line with One Health policies. In this dynamic context, nutrition research needs to be strategically organised to respond to these societal expectations. One key element of this strategy is to integrate precision nutrition into epidemiological research. This position article therefore reviews the recent developments in nutrition research and proposes how they could be integrated into cohort studies, with a focus on the Swiss research landscape specifically.

摘要

采用促进整个生物圈健康的政策(One Health)要求人类社会向更可持续的食物供应转型,同时加深对不断变化的饮食习惯的代谢和健康影响的理解。与此同时,生命科学正在经历快速和突破性的技术发展,特别是在实验室分析和生物计算方面,使营养研究处于前所未有的地位,可以根据 One Health 政策将知识转化为实践。在这种充满活力的背景下,营养研究需要进行战略性组织,以满足这些社会期望。该战略的一个关键要素是将精准营养纳入流行病学研究。因此,本文综述了营养研究的最新进展,并提出了如何将其纳入队列研究的方法,特别关注瑞士的研究领域。

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本文引用的文献

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Cell metabolism: Functional and phenotypic single cell approaches.细胞代谢:功能和表型单细胞方法。
Methods Cell Biol. 2024;186:151-187. doi: 10.1016/bs.mcb.2024.02.024. Epub 2024 Mar 25.
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Machine learning and personalized nutrition: a promising liaison?机器学习与个性化营养:一种有前景的联系?
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