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Association of the Gut Microbiota with Weight-Loss Response within a Retail Weight-Management Program
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 influen...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7463616/ https://www.ncbi.nlm.nih.gov/pubmed/32824364 http://dx.doi.org/10.3390/microorganisms8081246 |
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author | Dhakal, Samitinjaya McCormack, Lacey Dey, Moul |
author_facet | Dhakal, Samitinjaya McCormack, Lacey Dey, Moul |
author_sort | Dhakal, Samitinjaya |
collection | PubMed |
description | 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% (~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 β-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 with B. eggerthi, A. muciniphila, Turicibacter, Prevotella, and Christensenella (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. |
format | Online Article Text |
id | pubmed-7463616 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74636162020-09-02 Association of the Gut Microbiota with Weight-Loss Response within a Retail Weight-Management Program Dhakal, Samitinjaya McCormack, Lacey Dey, Moul Microorganisms Article 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% (~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 β-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 with B. eggerthi, A. muciniphila, Turicibacter, Prevotella, and Christensenella (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. MDPI 2020-08-16 /pmc/articles/PMC7463616/ /pubmed/32824364 http://dx.doi.org/10.3390/microorganisms8081246 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Dhakal, Samitinjaya McCormack, Lacey Dey, Moul Association of the Gut Microbiota with Weight-Loss Response within a Retail Weight-Management Program |
title | Association of the Gut Microbiota with Weight-Loss Response within a Retail Weight-Management Program |
title_full | Association of the Gut Microbiota with Weight-Loss Response within a Retail Weight-Management Program |
title_fullStr | Association of the Gut Microbiota with Weight-Loss Response within a Retail Weight-Management Program |
title_full_unstemmed | Association of the Gut Microbiota with Weight-Loss Response within a Retail Weight-Management Program |
title_short | Association of the Gut Microbiota with Weight-Loss Response within a Retail Weight-Management Program |
title_sort | association of the gut microbiota with weight-loss response within a retail weight-management program |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7463616/ https://www.ncbi.nlm.nih.gov/pubmed/32824364 http://dx.doi.org/10.3390/microorganisms8081246 |
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