UCD Institute of Food and Health, UCD School of Agriculture and Food Science, University College Dublin, Dublin, D04 F438, Ireland.
UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Dublin, D04 F438, Ireland.
Mol Nutr Food Res. 2023 May;67(10):e2200620. doi: 10.1002/mnfr.202200620. Epub 2023 Apr 25.
Effective strategies for tailoring dietary advice to individuals are urgently needed. The effectiveness of personalized nutrition advice delivered using a metabotype framework in improving dietary quality and metabolic health biomarkers compared to population-level advice is investigated.
A 12-week parallel randomized controlled trial is performed with 107 healthy adults. Individuals in the personalized group are classified into metabotypes using four markers (triacylglycerol, high-density lipoprotein [HDL]-cholesterol, total cholesterol [TC], and glucose) and received dietary advice from decision tree algorithms containing metabotypes characteristics and individual traits. Individuals in the control group received generic dietary advice based on national guidelines. The personalized approach results in higher dietary quality assessed by the Alternate Mediterranean Diet Score (effect size [95% confidence interval, CI], 0.77 [0.07, 1.48], 12% versus 3% increase) and significantly lower concentrations of triacylglycerol (-0.17 [-0.28, -0.06] log10 mmol L ), TC (-0.42 [-0.74, -0.10] mmol L ), low-density lipoprotein (LDL)-cholesterol (-0.34, [-0.60, -0.09] mmol L ), and lower triacylglycerol-glucose index (-0.40, [-0.67, -0.13]). Sixteen phosphatidylcholines and six lysophosphatidylcholines, predominately with chain lengths of 30-36 carbons, are lower in the personalized group.
Personalized nutrition advice delivered using the metabotype framework is effective to improve dietary quality, which could result in reduced CVD risk, and metabolic heath biomarkers.
迫切需要制定针对个体的饮食建议的有效策略。本研究旨在调查基于代谢体型框架的个性化营养建议与基于人群的建议相比，在改善饮食质量和代谢健康生物标志物方面的效果。
进行了一项为期 12 周的平行随机对照试验，纳入了 107 名健康成年人。使用四个标志物（甘油三酯、高密度脂蛋白胆固醇 [HDL-C]、总胆固醇 [TC] 和葡萄糖）对个体进行代谢体型分类，并根据决策树算法中的代谢体型特征和个体特征为个性化组提供饮食建议。对照组个体则根据国家指南接受通用饮食建议。个性化方法可使替代地中海饮食评分（替代地中海饮食评分的效果大小[95%置信区间，CI]为 0.77 [0.07, 1.48]，增加 12%，而增加 3%）更高，甘油三酯（-0.17 [-0.28, -0.06] log10 mmol/L）、TC（-0.42 [-0.74, -0.10] mmol/L）、低密度脂蛋白胆固醇（-0.34，[-0.60，-0.09]mmol/L）和甘油三酯-葡萄糖指数（-0.40，[-0.67，-0.13]）的浓度显著降低。个性化组中 16 种磷脂酰胆碱和 6 种溶血磷脂酰胆碱的含量较低，其主要链长为 30-36 个碳原子。
基于代谢体型框架的个性化营养建议可有效改善饮食质量，从而降低 CVD 风险和代谢健康生物标志物。
