人工智能驱动的个性化营养计划对人类肠道微生物群的影响及其健康意义。

The Influence of an AI-Driven Personalized Nutrition Program on the Human Gut Microbiome and Its Health Implications.

作者信息

Rouskas Konstantinos, Guela Mary, Pantoura Marianna, Pagkalos Ioannis, Hassapidou Maria, Lalama Elena, Pfeiffer Andreas F H, Decorte Elise, Cornelissen Veronique, Wilson-Barnes Saskia, Hart Kathryn, Mantovani Eugenio, Dias Sofia Balula, Hadjileontiadis Leontios, Gymnopoulos Lazaros P, Dimitropoulos Kosmas, Argiriou Anagnostis

机构信息

Institute of Applied Biosciences, Center for Research and Technology Hellas, 57001 Thessaloniki, Greece.

Department of Food Science and Nutrition, University of the Aegean, Myrina, 81400 Lemnos, Greece.

出版信息

Nutrients. 2025 Apr 3;17(7):1260. doi: 10.3390/nu17071260.

DOI:10.3390/nu17071260

PMID:40219016

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11990151/

Abstract

Personalized nutrition programs enhanced with artificial intelligence (AI)-based tools hold promising potential for the development of healthy and sustainable diets and for disease prevention. This study aimed to explore the impact of an AI-based personalized nutrition program on the gut microbiome of healthy individuals. An intervention using an AI-based mobile application for personalized nutrition was applied for six weeks. Fecal and blood samples from 29 healthy participants (females 52%, mean age 35 years) were collected at baseline and at six weeks. Gut microbiome through 16s ribosomal RNA (rRNA) amplicon sequencing, anthropometric and biochemical data were analyzed at both timepoints. Dietary assessment was performed using food frequency questionnaires. A significant increase in richness (Chao1, 220.4 ± 58.5 vs. 241.5 ± 60.2, = 0.024) and diversity (Faith's phylogenetic diversity, 15.5 ± 3.3 vs. 17.3 ± 2.8, = 0.0001) was found from pre- to post-intervention. Following the intervention, the relative abundance of genera associated with the reduction in cholesterol and heart disease risk (e.g., and ) was significantly increased, while the abundance of inflammation-associated genera (e.g., and ) was decreased. Alterations in the abundance of several butyrate-producing genera were also found (e.g., increase in , decrease in ). Further, a decrease in carbohydrate (272.2 ± 97.7 vs. 222.9 ± 80.5, = 0.003) and protein (113.6 ± 38.8 vs. 98.6 ± 32.4, = 0.011) intake, as well as a reduction in waist circumference (78.4 ± 12.1 vs. 77.2 ± 11.2, = 0.023), was also seen. Changes in the abundance of and were positively associated with changes in olive oil intake (Rho = 0.57, = 0.001) and levels of triglycerides (Rho = 0.56, = 0.001). This study highlights the potential for an AI-based personalized nutrition program to influence the gut microbiome. More research is now needed to establish the use of gut microbiome-informed strategies for personalized nutrition.

摘要

借助基于人工智能（AI）的工具增强的个性化营养计划，在发展健康且可持续的饮食以及预防疾病方面具有广阔的潜力。本研究旨在探讨基于AI的个性化营养计划对健康个体肠道微生物群的影响。应用一款基于AI的个性化营养移动应用程序进行了为期六周的干预。在基线期和六周时收集了29名健康参与者（女性占52%，平均年龄35岁）的粪便和血液样本。在两个时间点均通过16s核糖体RNA（rRNA）扩增子测序分析肠道微生物群，同时分析人体测量和生化数据。使用食物频率问卷进行饮食评估。干预前后发现丰富度（Chao1指数，220.4±58.5对241.5±60.2，P = 0.024）和多样性（Faith系统发育多样性，15.5±3.3对17.3±2.8，P = 0.0001）显著增加。干预后，与胆固醇降低和心脏病风险降低相关的属（如……和……）的相对丰度显著增加，而与炎症相关的属（如……和……）的丰度降低。还发现了几种产丁酸属的丰度变化（如……增加，……减少）。此外，碳水化合物摄入量（272.2±97.7对222.9±80.5，P = 0.003）和蛋白质摄入量（113.6±38.8对98.6±32.4，P = 0.011）也有所降低，腰围也减小了（78.4±12.1对77.2±11.2，P = 0.023）。……和……丰度的变化与橄榄油摄入量的变化（Rho = 0.57，P = 0.001）和甘油三酯水平的变化（Rho = 0.56，P = 0.001）呈正相关。本研究强调了基于AI的个性化营养计划影响肠道微生物群的潜力。现在需要更多研究来确定基于肠道微生物群的个性化营养策略的应用。