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Journal article · Conference paper

Pre-treatment microbial Prevotella-to-Bacteroides ratio, determines body fat loss success during a 6-month randomized controlled diet intervention

From

National Food Institute, Technical University of Denmark1

Research Group for Gut Microbiology and Immunology, National Food Institute, Technical University of Denmark2

Copenhagen Center for Health Technology, Centers, Technical University of Denmark3

Gelesis Inc.4

University of Copenhagen5

Based on the abundance of specific bacterial genera, the human gut microbiota can be divided into two relatively stable groups that might play a role in personalized nutrition. We studied these simplified enterotypes as prognostic markers for successful body fat loss on two different diets. A total of 62 participants with increased waist circumference were randomly assigned to receive an ad libitum New Nordic Diet (NND) high in fiber/wholegrain or an Average Danish Diet (ADD) for 26 weeks.

Participants were grouped into two discrete enterotypes by their relative abundance of Prevotella spp. divided by Bacteroides spp. (P/B ratio) obtained by quantitative PCR analysis. Modifications of dietary effects of pre-treatment P/B group were examined by linear mixed models. Among individuals with high P/B the NND resulted in a 3.15 kg (95%CI 1.55;4.76, P<0.001) larger body fat loss compared to ADD whereas no differences was observed among individuals with low P/B (0.88 kg [95% CI −0.61;2.37, P=0.25]).

Consequently, a 2.27 kg (95%CI 0.09;4.45, P=0.041) difference in responsiveness to the diets were found between the two groups. In summary, subjects with high P/B-ratio appeared more susceptible to lose body fat on diets high in fiber and wholegrain than subjects with a low P/B-ratio.

Language: English
Publisher: Nature Publishing Group
Year: 2017
Pages: 580-583
ISSN: 14765497 and 03070565
Types: Journal article and Conference paper
DOI: 10.1038/ijo.2017.220
ORCIDs: Roager, Henrik Munch , Licht, Tine Rask , Bahl, Martin Iain , 0000-0001-9440-2737 , 0000-0001-7621-3131 , 0000-0003-4897-3955 and 0000-0001-8968-8996

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