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Sex-Specific Associations between Gut Prevotellaceae and Host Genetics on Adiposity
The gut microbiome has been recognized as a tool for understanding adiposity accumulation and for providing personalized nutrition advice for the management of obesity and accompanying metabolic complications. The genetic background is also involved in human energy homeostasis. In order to increase...
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/PMC7356943/ https://www.ncbi.nlm.nih.gov/pubmed/32580458 http://dx.doi.org/10.3390/microorganisms8060938 |
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author | Cuevas-Sierra, Amanda Riezu-Boj, José Ignacio Guruceaga, Elizabeth Milagro, Fermín Ignacio Martínez, José Alfredo |
author_facet | Cuevas-Sierra, Amanda Riezu-Boj, José Ignacio Guruceaga, Elizabeth Milagro, Fermín Ignacio Martínez, José Alfredo |
author_sort | Cuevas-Sierra, Amanda |
collection | PubMed |
description | The gut microbiome has been recognized as a tool for understanding adiposity accumulation and for providing personalized nutrition advice for the management of obesity and accompanying metabolic complications. The genetic background is also involved in human energy homeostasis. In order to increase the value of nutrigenetic dietary advice, the interplay between genetics and microbiota must be investigated. The purpose of the present study was to evaluate interactive associations between gut microbiota composition and 95 obesity-related single nucleotide polymorphisms (SNPs) searched in the literature. Oral mucosa and fecal samples from 360 normal weight, overweight and obese subjects were collected. Next generation genotyping of these 95 SNPs and fecal 16S rRNA sequencing were performed. A genetic risk score (GRS) was constructed with 10 SNPs statistically or marginally associated with body mass index (BMI). Several microbiome statistical analyses at family taxonomic level were applied (LEfSe, Canonical Correspondence Analysis, MetagenomeSeq and Random Forest), and Prevotellaceae family was found in all of them as one of the most important bacterial families associated with BMI and GRS. Thus, in this family it was further analyzed the interactive association between BMI and GRS with linear regression models. Interestingly, women with higher abundance of Prevotellaceae and higher GRS were more obese, compared to women with higher GRS and lower abundance of Prevotellaceae. These findings suggest relevant interrelationships between Prevotellaceae and the genetic background that may determine interindividual BMI differences in women, which opens the way to new precision nutrition-based treatments for obesity. |
format | Online Article Text |
id | pubmed-7356943 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-73569432020-07-22 Sex-Specific Associations between Gut Prevotellaceae and Host Genetics on Adiposity Cuevas-Sierra, Amanda Riezu-Boj, José Ignacio Guruceaga, Elizabeth Milagro, Fermín Ignacio Martínez, José Alfredo Microorganisms Article The gut microbiome has been recognized as a tool for understanding adiposity accumulation and for providing personalized nutrition advice for the management of obesity and accompanying metabolic complications. The genetic background is also involved in human energy homeostasis. In order to increase the value of nutrigenetic dietary advice, the interplay between genetics and microbiota must be investigated. The purpose of the present study was to evaluate interactive associations between gut microbiota composition and 95 obesity-related single nucleotide polymorphisms (SNPs) searched in the literature. Oral mucosa and fecal samples from 360 normal weight, overweight and obese subjects were collected. Next generation genotyping of these 95 SNPs and fecal 16S rRNA sequencing were performed. A genetic risk score (GRS) was constructed with 10 SNPs statistically or marginally associated with body mass index (BMI). Several microbiome statistical analyses at family taxonomic level were applied (LEfSe, Canonical Correspondence Analysis, MetagenomeSeq and Random Forest), and Prevotellaceae family was found in all of them as one of the most important bacterial families associated with BMI and GRS. Thus, in this family it was further analyzed the interactive association between BMI and GRS with linear regression models. Interestingly, women with higher abundance of Prevotellaceae and higher GRS were more obese, compared to women with higher GRS and lower abundance of Prevotellaceae. These findings suggest relevant interrelationships between Prevotellaceae and the genetic background that may determine interindividual BMI differences in women, which opens the way to new precision nutrition-based treatments for obesity. MDPI 2020-06-22 /pmc/articles/PMC7356943/ /pubmed/32580458 http://dx.doi.org/10.3390/microorganisms8060938 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 Cuevas-Sierra, Amanda Riezu-Boj, José Ignacio Guruceaga, Elizabeth Milagro, Fermín Ignacio Martínez, José Alfredo Sex-Specific Associations between Gut Prevotellaceae and Host Genetics on Adiposity |
title | Sex-Specific Associations between Gut Prevotellaceae and Host Genetics on Adiposity |
title_full | Sex-Specific Associations between Gut Prevotellaceae and Host Genetics on Adiposity |
title_fullStr | Sex-Specific Associations between Gut Prevotellaceae and Host Genetics on Adiposity |
title_full_unstemmed | Sex-Specific Associations between Gut Prevotellaceae and Host Genetics on Adiposity |
title_short | Sex-Specific Associations between Gut Prevotellaceae and Host Genetics on Adiposity |
title_sort | sex-specific associations between gut prevotellaceae and host genetics on adiposity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7356943/ https://www.ncbi.nlm.nih.gov/pubmed/32580458 http://dx.doi.org/10.3390/microorganisms8060938 |
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