The Baseline Gut Microbiota Directs Dieting-Induced Weight Loss Trajectories
The Baseline Gut Microbiota Directs Dieting-Induced Weight Loss Trajectories
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DOI：
10.1053/j.gastro.2021.01.029
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发表时间：
2021-04-29
期刊：
影响因子：
29.4
通讯作者：
Cai, Kaiye
中科院分区：
文献类型：
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作者：
Jie, Zhuye;Yu, Xinlei;Cai, Kaiye
背景与目的：阐明影响个人对食物反应的关键因素是实施个性化营养策略的第一步，例如减肥计划。在这里，我们的目的是确定在自然环境中个人减肥轨迹的重要因素，参与者被提供饮食建议，但在其他方面被要求自我管理每日热量摄入和数据报告。方法：进行了一项为期6个月的减肥计划，纵向收集了83名参与者的饮食，体力活动，体重和粪便微生物组数据以及单核苷酸多态性基因型，然后整合了高维数据，以确定营养师指导的最重要的减肥决定因素，智能手机辅助节食计划。结果：发现基线肠道微生物群优于其他因素，作为个人减肥轨迹的饮食预测因子。减肥也与节食期间某些细菌种类丰度的变化幅度有关。活泼瘤胃球菌（MGS0160）在肥胖个体中显著富集，并在体重减轻期间减少。嗜粘蛋白阿克曼氏菌（MGS0120）和Alistipes obesi（MGS0342）显着富集在瘦个体，它们的丰度增加节食。最后，布劳特氏菌（MGS0575）和多雷拟杆菌（MGS0187）在基线时以高丰度存在时是体重减轻的最强预测因子。结论：总而言之，基线肠道微生物群被发现在捕捉节食计划中饮食因素与体重减轻之间的关系方面是一个核心的个人因素。
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. METHODS: 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. RESULTS: 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. CONCLUSION: 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.