将网络药理学技术移植到食品科学研究中:揭示食物来源功能因子及其健康益处的全面综述。

IF 12 1区 农林科学 Q1 FOOD SCIENCE & TECHNOLOGY Comprehensive Reviews in Food Science and Food Safety Pub Date : 2024-09-01 DOI:10.1111/1541-4337.13429
Qing Shen, Lijun Ge, Weibo Lu, Huixiang Wu, Li Zhang, Jun Xu, Oushan Tang, Imran Muhammad, Jing Zheng, Yeshun Wu, Si-Wei Wang, Xi-Xi Zeng, Jing Xue, Keyun Cheng
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引用次数: 0

摘要

网络药理学是一种新兴的跨学科研究方法。应用网络药理学揭示食品中有效成分的营养作用和机理,对促进功能食品的开发、促进个性化营养、探索食品健康作用机理具有重要意义。本文采用文献综述的方法,系统回顾了网络药理学在食品科学领域的应用。讨论了网络药理学在食品科学领域的应用进展,并在网络药理学的基础上探讨了食品中功能因子的作用机制。此外,还讨论了网络药理学的局限性和挑战,并提出了未来的发展方向和应用前景。网络药理学是揭示食品中功能因子作用机制和健康益处的重要工具。它有助于深入研究单个成分、复合食品和食品中化合物的生物活性,评估食品成分对健康的潜在影响。此外,它还有助于在样品的生产和加工过程中通过相关信息控制和增强其功能,从而保证食品安全。本文进一步分析和总结了网络药理学在探索食品中功能因子机制方面的应用。结合机器学习、人工智能、临床实验和体外验证,网络药理学驱动的食品中功能因子的成果转化对未来网络药理学研究的发展具有重要意义。
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Transplanting network pharmacology technology into food science research: A comprehensive review on uncovering food-sourced functional factors and their health benefits

Network pharmacology is an emerging interdisciplinary research method. The application of network pharmacology to reveal the nutritional effects and mechanisms of active ingredients in food is of great significance in promoting the development of functional food, facilitating personalized nutrition, and exploring the mechanisms of food health effects. This article systematically reviews the application of network pharmacology in the field of food science using a literature review method. The application progress of network pharmacology in food science is discussed, and the mechanisms of functional factors in food on the basis of network pharmacology are explored. Additionally, the limitations and challenges of network pharmacology are discussed, and future directions and application prospects are proposed. Network pharmacology serves as an important tool to reveal the mechanisms of action and health benefits of functional factors in food. It helps to conduct in-depth research on the biological activities of individual ingredients, composite foods, and compounds in food, and assessment of the potential health effects of food components. Moreover, it can help to control and enhance their functionality through relevant information during the production and processing of samples to guarantee food safety. The application of network pharmacology in exploring the mechanisms of functional factors in food is further analyzed and summarized. Combining machine learning, artificial intelligence, clinical experiments, and in vitro validation, the achievement transformation of functional factor in food driven by network pharmacology is of great significance for the future development of network pharmacology research.

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来源期刊
CiteScore
26.20
自引率
2.70%
发文量
182
期刊介绍: Comprehensive Reviews in Food Science and Food Safety (CRFSFS) is an online peer-reviewed journal established in 2002. It aims to provide scientists with unique and comprehensive reviews covering various aspects of food science and technology. CRFSFS publishes in-depth reviews addressing the chemical, microbiological, physical, sensory, and nutritional properties of foods, as well as food processing, engineering, analytical methods, and packaging. Manuscripts should contribute new insights and recommendations to the scientific knowledge on the topic. The journal prioritizes recent developments and encourages critical assessment of experimental design and interpretation of results. Topics related to food safety, such as preventive controls, ingredient contaminants, storage, food authenticity, and adulteration, are considered. Reviews on food hazards must demonstrate validity and reliability in real food systems, not just in model systems. Additionally, reviews on nutritional properties should provide a realistic perspective on how foods influence health, considering processing and storage effects on bioactivity. The journal also accepts reviews on consumer behavior, risk assessment, food regulations, and post-harvest physiology. Authors are encouraged to consult the Editor in Chief before submission to ensure topic suitability. Systematic reviews and meta-analyses on analytical and sensory methods, quality control, and food safety approaches are welcomed, with authors advised to follow IFIS Good review practice guidelines.
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