BGI-Shenzhen, Shenzhen, China; China National Genebank, Shenzhen, China; Shenzhen Key Laboratory of Human Commensal Microorganisms and Health Research, Shenzhen, China.
BGI-Shenzhen, Shenzhen, China; China National Genebank, Shenzhen, China.
Gastroenterology. 2021 May;160(6):2029-2042.e16. doi: 10.1053/j.gastro.2021.01.029. Epub 2021 Jan 20.
BACKGROUND & AIMS: Elucidating key factors affecting personal responses to food is the first step toward implementing personalized nutrition strategies in for example weight loss programs. Here, we aimed to identify factors of importance for individual weight loss trajectories in a natural setting where participants were provided dietary advice but otherwise asked to self-manage the daily caloric intake and data reporting.
A 6-month weight-reduction program with longitudinal collection of dietary, physical activity, body weight, and fecal microbiome data as well as single-nucleotide polymorphism genotypes in 83 participants was conducted, followed by integration of the high-dimensional data to define the most determining factors for weight loss in a dietician-guided, smartphone-assisted dieting program.
The baseline gut microbiota was found to outperform other factors as a predieting predictor of individual weight loss trajectories. Weight loss was also linked to the magnitude of changes in abundances of certain bacterial species during dieting. Ruminococcus gnavus (MGS0160) was significantly enriched in obese individuals and decreased during weight loss. Akkermansia muciniphila (MGS0120) and Alistipes obesi (MGS0342) were significantly enriched in lean individuals, and their abundance increased during dieting. Finally, Blautia wexlerae (MGS0575) and Bacteroides dorei (MGS0187) were the strongest predictors for weight loss when present in high abundance at baseline.
Altogether, the baseline gut microbiota was found to excel as a central personal factor in capturing the relationship between dietary factors and weight loss among individuals on a dieting program.
阐明影响个体对食物反应的关键因素是实施个性化营养策略的第一步，例如在减肥计划中。在这里，我们旨在确定在自然环境中个体减肥轨迹的重要因素，在这种环境中，参与者被提供饮食建议，但要求他们自行管理日常卡路里摄入量和数据报告。
对 83 名参与者进行了为期 6 个月的减肥计划，纵向收集饮食、身体活动、体重和粪便微生物组数据，以及单核苷酸多态性基因型，然后整合高维数据，以定义在营养师指导、智能手机辅助节食计划中决定减肥的最重要因素。
基线肠道微生物群被发现优于其他因素，是个体减肥轨迹的预测指标。减肥还与节食期间某些细菌物种丰度变化的幅度有关。瘤胃球菌（MGS0160）在肥胖个体中明显富集，并在减肥期间减少。阿克曼氏菌（MGS0120）和肥胖拟杆菌（MGS0342）在瘦个体中明显富集，其丰度在节食期间增加。最后，当 Blautia wexlerae（MGS0575）和 Bacteroides dorei（MGS0187）在基线时丰度较高时，它们是减肥的最强预测因子。
总之，基线肠道微生物群被发现是捕捉节食计划中个体饮食因素与减肥之间关系的核心个人因素。
