A new version of this entry is available:
Loading...
Article
2022
Gut microbiota patterns predicting long-term weight loss success in individuals with obesity undergoing nonsurgical therapy
Gut microbiota patterns predicting long-term weight loss success in individuals with obesity undergoing nonsurgical therapy
Abstract (English)
The long-term success of nonsurgical weight reduction programs is variable; thus, predictors of outcome are of major interest. We hypothesized that the intestinal microbiota known to be linked with diet and obesity contain such predictive elements. Methods: Metagenome analysis by shotgun sequencing of stool DNA was performed in a cohort of 15 adults with obesity (mean body mass index 43.1 kg/m2) who underwent a one-year multidisciplinary weight loss program and another year of follow-up. Eight individuals were persistently successful (mean relative weight loss 18.2%), and seven individuals were not successful (0.2%). The relationship between relative abundancies of bacterial genera/species and changes in relative weight loss or body mass index was studied using three different statistical modeling methods. Results: When combining the predictor variables selected by the applied statistical modeling, we identified seven bacterial genera and eight bacterial species as candidates for predicting success of weight loss. By classification of relative weight-loss predictions for each patient using 2–5 term models, 13 or 14 out of 15 individuals were predicted correctly. Conclusions: Our data strongly suggest that gut microbiota patterns allow individual prediction of long-term weight loss success. Prediction accuracy seems to be high but needs confirmation by larger prospective trials.
File is subject to an embargo until
This is a correction to:
A correction to this entry is available:
This is a new version of:
Notes
Publication license
Publication series
Published in
Nutrients, 14 (2022), 15, 3182.
https://doi.org/10.3390/nu14153182.
ISSN: 2072-6643
Faculty
Institute
Examination date
Supervisor
Edition / version
Citation
DOI
ISSN
ISBN
Language
English
Publisher
Publisher place
Classification (DDC)
610 Medicine and health
Original object
Free keywords
Standardized keywords (GND)
Sustainable Development Goals
BibTeX
@article{Bischoff2022,
url = {https://hohpublica.uni-hohenheim.de/handle/123456789/16582},
doi = {10.3390/nu14153182},
author = {Bischoff, Stephan C. and Nguyen, Nguyen K. and Seethaler, Benjamin et al.},
title = {Gut Microbiota Patterns Predicting Long-Term Weight Loss Success in Individuals with Obesity Undergoing Nonsurgical Therapy},
journal = {Nutrients},
year = {2022},
volume = {14},
number = {15},
}