The Baseline Gut Microbiota Directs Dieting-Induced Weight Loss Trajectories
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The Baseline Gut Microbiota Directs Dieting-Induced Weight Loss Trajectories. / Jie, Zhuye; Yu, Xinlei; Liu, Yinghua; Sun, Lijun; Chen, Peishan; Ding, Qiuxia; Gao, Yuan; Zhang, Xukai; Yu, Maomao; Liu, Yuan; Zhang, Yong; Kristiansen, Karsten; Jia, Huijue; Brix, Susanne; Cai, Kaiye.
In: Gastroenterology, Vol. 160, No. 6, 2021, p. 2029-2042, e1-e16.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - The Baseline Gut Microbiota Directs Dieting-Induced Weight Loss Trajectories
AU - Jie, Zhuye
AU - Yu, Xinlei
AU - Liu, Yinghua
AU - Sun, Lijun
AU - Chen, Peishan
AU - Ding, Qiuxia
AU - Gao, Yuan
AU - Zhang, Xukai
AU - Yu, Maomao
AU - Liu, Yuan
AU - Zhang, Yong
AU - Kristiansen, Karsten
AU - Jia, Huijue
AU - Brix, Susanne
AU - Cai, Kaiye
N1 - Funding Information: Funding This research was supported by National Key Research and Development Program of China (no. 2017YFC0909700 ) and Shenzhen Municipal Government of China (no. DRC-SZ [2015]162 and no. CXB201108250098A ).
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
KW - Gut Microbiota
KW - Nutritional Responses
KW - Weight Loss Program
KW - Weight Prediction
U2 - 10.1053/j.gastro.2021.01.029
DO - 10.1053/j.gastro.2021.01.029
M3 - Journal article
C2 - 33482223
AN - SCOPUS:85104918688
VL - 160
SP - 2029-2042, e1-e16
JO - Gastroenterology
JF - Gastroenterology
SN - 0016-5085
IS - 6
ER -
ID: 272063107