Precision calories: A promising strategy for personalized health interventions in the precision nutrition framework

IF 15.1 1区农林科学 Q1 FOOD SCIENCE & TECHNOLOGY

Trends in Food Science & Technology Pub Date : 2024-09-21 DOI:10.1016/j.tifs.2024.104727

Zhen Wang , Luyang Wang , Yinchen Hou , Xinrui Zhang , Huiping Wang , Sijie Zhang , Chenxv Du , Jihong Huang

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引用次数: 0

Abstract

Background

Precision nutrition (PN) is a field that aims to develop personalized dietary interventions to meet individual health needs. PN has gained widespread acceptance and has been supported by advancements in high-throughput multi-omics technologies and integrated big data systems. Implementing PN is considered the best way to prevent non-communicable chronic diseases (NCDs).

Scope and approach

In this paper, we discuss the risk of NCDs due to macronutrient imbalance, and integrate the evidence on the risk of NCDs due to caloric excess and caloric deficit. Based on this, precision calories (PC) strategy within the PN framework to improve health and cope with NCDs are discussed.

Key findings and conclusions

PC, which involve the integration of high-quality data on macronutrient intake, are a promising strategy within the PN research framework for improving health. Then, the benefits of PC strategy in terms of nutrigenomics, computational biology, and the establishment of an integrated personal omics profile in the PN framework are systematically discussed. Overall, the PC strategy in the PN framework is applicable to a wide range of conditions and processes, from macronutrient intake and metabolism to the association of health risks, highlighting the challenges and opportunities of translating data into knowledge and action. PC will help unravel the complex relationship between diet and health, and create new opportunities for PN dietary interventions for personal health management to move from cutting-edge scientific research to implementation on the ground.

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精准卡路里：精准营养框架下的个性化健康干预策略前景广阔

背景精准营养（PN）是一个旨在开发个性化膳食干预措施以满足个人健康需求的领域。高通量多组学技术和集成大数据系统的进步支持了精准营养的发展，并已获得广泛认可。在本文中，我们讨论了宏量营养素失衡导致的 NCDs 风险，并整合了热量过剩和热量不足导致的 NCDs 风险的证据。在此基础上，我们讨论了营养营养素框架内的精准卡路里（PC）策略，以改善健康状况和应对非传染性疾病。主要研究结果和结论PC涉及整合有关宏量营养素摄入的高质量数据，是营养营养素研究框架内改善健康状况的一种有前途的策略。然后，系统地讨论了 PC 战略在营养基因组学、计算生物学以及在 PN 框架内建立综合个人 omics 档案方面的益处。总之，营养基因组学框架中的 PC 策略适用于从宏量营养素摄入和新陈代谢到健康风险关联等广泛的条件和过程，凸显了将数据转化为知识和行动所面临的挑战和机遇。个人营养方案将有助于揭示饮食与健康之间的复杂关系，并为个人健康管理的个人营养方案膳食干预措施从前沿科学研究走向实地实施创造新的机遇。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Trends in Food Science & Technology 工程技术-食品科技

CiteScore

32.50

自引率

2.60%

发文量

322

审稿时长

37 days

期刊介绍： Trends in Food Science & Technology is a prestigious international journal that specializes in peer-reviewed articles covering the latest advancements in technology, food science, and human nutrition. It serves as a bridge between specialized primary journals and general trade magazines, providing readable and scientifically rigorous reviews and commentaries on current research developments and their potential applications in the food industry. Unlike traditional journals, Trends in Food Science & Technology does not publish original research papers. Instead, it focuses on critical and comprehensive reviews to offer valuable insights for professionals in the field. By bringing together cutting-edge research and industry applications, this journal plays a vital role in disseminating knowledge and facilitating advancements in the food science and technology sector.