文献类型： 外文期刊

作者： Fang, Chao ¹ ; Yang, Haixia ² ; Fan, Daidi ¹ ; Deng, Jianjun ² ;

作者机构： 1.Northwest Univ, Sch Chem Engn, Biotech & Biomed Res Inst, Shaanxi Key Lab Degradable Biomed Mat,Shaanxi R&D, Xian 710127, Peoples R China

2.China Agr Univ, Coll Food Sci & Nutr Engn, Beijing 100083, Peoples R China

3.Chinese Acad Agr Sci, Inst Vegetables & Flowers, State Key Lab Vegetable Biobreeding, Beijing, Peoples R China

关键词： Triterpenoids; Structure-activity relationships; Biosynthesis; Bioactivity; Applications; AI-Assisted strategies

期刊名称：TRENDS IN FOOD SCIENCE & TECHNOLOGY （ 影响因子：15.4； 五年影响因子：18.4 ）

ISSN： 0924-2244

年卷期： 2025 年 159 卷

页码：

收录情况： SCI

摘要： Background: Terpenoids, a broad category of natural bioactive compounds from plants and their metabolites, are known for their diverse structures, high bioactive potential and embodying the concept of "Food as medicine". As one of the typically representative subclasses within terpenoids, triterpenoids retain these advantages, but also feature characteristics with wide sources, great variety and low content. These do not diminish their significant potential and application prospects in functional food and drug ingredients. Triterpenoids are capable of exerting their high bioactive potential through a multitude of mechanisms, including but not limited to the regulation of inflammation, oxidative stress, immune imbalance, and metabolic disorders. Despite the promise of triterpenoids as functional food and drug ingredients, their low content and complex structures have, to some extent, limited the elucidation of their structure-activity relationships, limiting the progress of the research on triterpenoids. Scope: In this review, the significance and feasibility of triterpenoids as functional food and drug ingredients are discussed based on their biosynthesis and bioactivity. The work explores the biosynthesis of dietary triterpenoids and their potential mechanisms against aging and obesity. Furthermore, strategies are proposed to address the challenges during the process using machine learning (ML) technology. Key findings and conclusions: The elaborate structure-activity relationships of triterpenoids shape their substantial functions in anti-obesity and anti-aging. As functional food and drug ingredients, triterpenoids participate in multiple regulatory mechanisms, such as modulating the microbial flora, improving immunity, and regulating glycolipid metabolism, to exert a wide range of bioactivities. Moreover, they play crucial roles in food function optimization, preservation, and flavor regulation. Furthermore, artificial intelligence (AI) and ML techniques have provided innovative ideas and strategies for advanced research on triterpenoids by processing vast amounts of data and complex analyses to identify and predict structure-activity relationships.