The convergence of food science and nutrigenomics: Exploring new frontiers in innovation and development opportunities

IF 15.1 1区农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Trends in Food Science & Technology Pub Date : 2025-03-13 DOI:10.1016/j.tifs.2025.104975

Junli Feng , Yu Zhang , Fuguang Zheng , Keyun Cheng , Xixi Zeng , Miaoyu Li , Chunlai Zeng , Xi Chen , Qing Shen

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Abstract

Background

A healthy diet and proper nutrition are essential for life and play a crucial role in disease prevention. Nutrigenomics (NG) is a multidisciplinary science that combines knowledges from nutrition, molecular biology, genomics, bioinformatics and epidemiology to reveal the overall effects of different nutrients or foods on health. Personalized nutrition is an effective solution for translating of NG into practice, as it is designed based on the unique genetic makeup and metabolic profile of an individual, aiming to prevent diseases related to improper nutrients intake.

Scope and approach

This review provides a comprehensive discussion of the conventional tools utilized in NG research, while highlighting the intricate mechanisms through which nutrients influence metabolic networks via gene expression regulation, as well as how genetic variations modulate human body's response to dietary nutrients. Furthermore, this study systematically summarizes the integrated application of multi-omics and artificial intelligence (AI) technologies in food science, and proposes a conceptual framework of the genotype-based personalized nutrition intervention model. Challenges related to data integration, interpretation, and practical application barriers are also discussed, along with the perspectives on future trends in precision nutrition.

Key findings and conclusions

NG is currently experiencing a transformation from traditional experimental approaches to a "big data-driven" research paradigm. The integration of NG with emerging technologies not only provides scientific support for the innovations of the food industry, but also accelerates the implementation of genotype-based personalized nutrition strategies by offering more precise, personalized, data-driven insights and proactive strategies that cater to individual health needs. As these technologies continue to advance, AI-powered personalized nutrition is poised to play a pivotal role in health management in the future.

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背景健康的饮食和适当的营养对生命至关重要，并在疾病预防中发挥着关键作用。营养基因组学（NG）是一门多学科科学，它结合了营养学、分子生物学、基因组学、生物信息学和流行病学的知识，揭示了不同营养素或食物对健康的整体影响。个性化营养是将营养学转化为实践的有效解决方案，因为它是根据个人独特的基因构成和代谢特征设计的，旨在预防与营养摄入不当有关的疾病。范围和方法本综述全面讨论了营养学研究中使用的常规工具，同时强调了营养素通过基因表达调控影响代谢网络的复杂机制，以及基因变异如何调节人体对膳食营养素的反应。此外，本研究还系统地总结了多组学和人工智能（AI）技术在食品科学中的综合应用，并提出了基于基因型的个性化营养干预模型的概念框架。研究还讨论了与数据整合、解读和实际应用障碍相关的挑战，以及对精准营养未来趋势的展望。主要发现和结论目前，营养学正经历着从传统实验方法到 "大数据驱动 "研究范式的转变。将 NG 与新兴技术相结合，不仅能为食品行业的创新提供科学支持，还能提供更精确、个性化、数据驱动的见解和满足个人健康需求的前瞻性策略，从而加速实施基于基因型的个性化营养策略。随着这些技术的不断进步，人工智能驱动的个性化营养将在未来的健康管理中发挥举足轻重的作用。

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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.