4.6 Article

Association of the Gut Microbiota with Weight-Loss Response within a Retail Weight-Management Program

期刊

MICROORGANISMS
卷 8, 期 8, 页码 -

出版社

MDPI
DOI: 10.3390/microorganisms8081246

关键词

gut microbiota; weight-loss; energy restriction; body composition

资金

  1. Sanford Health-South Dakota State University Collaborative Research program
  2. S.D. Board of Regents R&D Innovation program [SA 1700310/1700311]
  3. United States Department of Agriculture's Hatch Program [1019557]

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Retail programs offer popular weight-loss options amid the ongoing obesity crisis. However, research on weight-loss outcomes within such programs is limited. This prospective-cohort observational study enrolled 58 men and women between ages 20 and 72 years from a retail program to assess the influence of client features on energy-restriction induced weight-loss response. DESeq2 in R-studio, a linear regression model adjusting for significantly correlating covariates, and Wilcoxon signed-rank and Kruskal-Wallis for within- and between-group differences, respectively, were used for data analyses. An average 10% (similar to 10 kg) reduction in baseline-weight along with lower total-, android-, gynoid-, and android:gynoid-fat were observed at Week 12 (all, p< 0.05). Fifty percent of participants experienced a higher response, losing an average of 14.5 kg compared to 5.9 kg in the remaining low-response group (p <0.0001). Hemoglobin-A1C (p=0.005) and heart rate (p=0.079) reduced in the high-response group only. Fat mass and A1C correlated when individuals had high android:gynoid fat (r=0.55, p=0.008). Gut-microbial beta-diversity was associated with BMI, body fat%, and android-fat (all, p< 0.05). Microbiota of the high-response group had a higher baseline OTU-richness (p=0.02) as well as differential abundance and/or associations withB. eggerthi, A. muciniphila, Turicibacter, Prevotella, andChristensenella(all, p/p(adj)< 0.005). These results show that intestinal microbiota as well as sex and body composition differences may contribute to variable weight-loss response. This highlights the importance of various client features in the context of real-world weight control efforts.

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