Liu Xiaoguang, Xu Miaomiao, Wang Huiguo, Zhu Lin
College of Sports and Health, Guangzhou Sport University, Guangzhou 510500, China.
Research Center for Innovative Development of Sports and Healthcare Integration, Guangzhou Sport University, Guangzhou 510500, China.
Nutrients. 2025 Aug 20;17(16):2695. doi: 10.3390/nu17162695.
Obesity is a global health challenge marked by substantial inter-individual differences in responses to dietary and lifestyle interventions. Traditional weight loss strategies often overlook critical biological variations in genetics, metabolic profiles, and gut microbiota composition, contributing to poor adherence and variable outcomes. Our primary aim is to identify key biological and behavioral effectors relevant to precision medicine for weight control, with a particular focus on nutrition, while also discussing their current and potential integration into digital health platforms. Thus, this review aligns more closely with the identification of influential factors within precision medicine (e.g., genetic, metabolic, and microbiome factors) but also explores how these factors are currently integrated into digital health tools. We synthesize recent advances in nutrigenomics, nutritional metabolomics, and microbiome-informed nutrition, highlighting how tailored dietary strategies-such as high-protein, low-glycemic, polyphenol-enriched, and fiber-based diets-can be aligned with specific genetic variants (e.g., FTO and MC4R), metabolic phenotypes (e.g., insulin resistance), and gut microbiota profiles (e.g., abundance, SCFA production). In parallel, digital health tools-including mobile health applications, wearable devices, and AI-supported platforms-enhance self-monitoring, adherence, and dynamic feedback in real-world settings. Mechanistic pathways such as gut-brain axis regulation, microbial fermentation, gene-diet interactions, and anti-inflammatory responses are explored to explain inter-individual differences in dietary outcomes. However, challenges such as cost, accessibility, and patient motivation remain and should be addressed to ensure the effective implementation of these integrated strategies in real-world settings. Collectively, these insights underscore the pivotal role of precision nutrition as a cornerstone for personalized, scalable, and sustainable obesity interventions.
肥胖是一项全球性的健康挑战,其特征是个体对饮食和生活方式干预的反应存在显著差异。传统的减肥策略往往忽视了遗传学、代谢谱和肠道微生物群组成方面的关键生物学差异,导致依从性差和结果各异。我们的主要目标是确定与体重控制精准医学相关的关键生物学和行为效应因素,特别关注营养,同时讨论它们目前以及潜在地整合到数字健康平台中的情况。因此,本综述不仅更紧密地与精准医学中影响因素(如遗传、代谢和微生物组因素)的识别相一致,还探讨了这些因素目前如何整合到数字健康工具中。我们综合了营养基因组学、营养代谢组学和微生物组导向营养方面的最新进展,强调了如何使定制化饮食策略,如高蛋白、低血糖、富含多酚和基于纤维的饮食,与特定的基因变异(如FTO和MC4R)、代谢表型(如胰岛素抵抗)和肠道微生物群谱(如丰度、短链脂肪酸产生)相匹配。同时,数字健康工具,包括移动健康应用程序、可穿戴设备和人工智能支持的平台,在现实环境中增强了自我监测、依从性和动态反馈。我们还探讨了肠道-脑轴调节、微生物发酵、基因-饮食相互作用和抗炎反应等机制途径,以解释饮食结果中的个体差异。然而,成本、可及性和患者动机等挑战仍然存在,需要加以解决,以确保这些综合策略在现实环境中有效实施。总体而言,这些见解强调了精准营养作为个性化、可扩展和可持续肥胖干预基石的关键作用。