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...

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Autores: Cuevas-Sierra, A. (Amanda)|||/items/deac1075-2a0f-46fd-9f3d-32cd8e2f849d, Riezu-Boj, J.I. (José Ignacio)|||/items/87349e89-7360-4cdd-81be-2e8a6174b5f6, Guruceaga-Martínez, E. (Elizabeth)|||/items/71d8df8b-4fab-4004-a38e-4057dddc85b2, Milagro-Yoldi, F.I. (Fermín Ignacio)|||/items/07cf7af6-1f5f-4720-8c14-5197a7a724eb, Martinez, J.A. (José Alfredo)|||/items/6a3581ea-897b-4439-a95c-19301775e131
Formato: artículo
Fecha de publicación:2020
País:España
Recursos:Universidad de Navarra
Repositorio:Dadun. Depósito Académico Digital de la Universidad de Navarra
Idioma:inglés
OAI Identifier:oai:dadun.unav.edu:10171/67850
Acesso em linha:https://hdl.handle.net/10171/67850
Access Level:acceso abierto
Palavra-chave:Genetic risk score
Gut microbiome
Obesity
Nutrigenetics
Metagenomics
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spelling Sex-specific associations between gut prevotellaceae and host genetics on adiposityCuevas-Sierra, A. (Amanda)|||/items/deac1075-2a0f-46fd-9f3d-32cd8e2f849dRiezu-Boj, J.I. (José Ignacio)|||/items/87349e89-7360-4cdd-81be-2e8a6174b5f6Guruceaga-Martínez, E. (Elizabeth)|||/items/71d8df8b-4fab-4004-a38e-4057dddc85b2Milagro-Yoldi, F.I. (Fermín Ignacio)|||/items/07cf7af6-1f5f-4720-8c14-5197a7a724ebMartinez, J.A. (José Alfredo)|||/items/6a3581ea-897b-4439-a95c-19301775e131Genetic risk scoreGut microbiomeObesityNutrigeneticsMetagenomicsThe 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 obesityMDPI AGDadun. Depósito Académico Digital Universidad de Navarra20232023-11-1420202020-01-0120202020-01-01journal articlehttp://purl.org/coar/resource_type/c_6501info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10171/67850reponame:Dadun. Depósito Académico Digital de la Universidad de Navarrainstname:Universidad de NavarraInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:dadun.unav.edu:10171/678502026-06-21T12:47:57Z
dc.title.none.fl_str_mv Sex-specific associations between gut prevotellaceae and host genetics on adiposity
title Sex-specific associations between gut prevotellaceae and host genetics on adiposity
spellingShingle Sex-specific associations between gut prevotellaceae and host genetics on adiposity
Cuevas-Sierra, A. (Amanda)|||/items/deac1075-2a0f-46fd-9f3d-32cd8e2f849d
Genetic risk score
Gut microbiome
Obesity
Nutrigenetics
Metagenomics
title_short 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_sort Sex-specific associations between gut prevotellaceae and host genetics on adiposity
dc.creator.none.fl_str_mv Cuevas-Sierra, A. (Amanda)|||/items/deac1075-2a0f-46fd-9f3d-32cd8e2f849d
Riezu-Boj, J.I. (José Ignacio)|||/items/87349e89-7360-4cdd-81be-2e8a6174b5f6
Guruceaga-Martínez, E. (Elizabeth)|||/items/71d8df8b-4fab-4004-a38e-4057dddc85b2
Milagro-Yoldi, F.I. (Fermín Ignacio)|||/items/07cf7af6-1f5f-4720-8c14-5197a7a724eb
Martinez, J.A. (José Alfredo)|||/items/6a3581ea-897b-4439-a95c-19301775e131
author Cuevas-Sierra, A. (Amanda)|||/items/deac1075-2a0f-46fd-9f3d-32cd8e2f849d
author_facet Cuevas-Sierra, A. (Amanda)|||/items/deac1075-2a0f-46fd-9f3d-32cd8e2f849d
Riezu-Boj, J.I. (José Ignacio)|||/items/87349e89-7360-4cdd-81be-2e8a6174b5f6
Guruceaga-Martínez, E. (Elizabeth)|||/items/71d8df8b-4fab-4004-a38e-4057dddc85b2
Milagro-Yoldi, F.I. (Fermín Ignacio)|||/items/07cf7af6-1f5f-4720-8c14-5197a7a724eb
Martinez, J.A. (José Alfredo)|||/items/6a3581ea-897b-4439-a95c-19301775e131
author_role author
author2 Riezu-Boj, J.I. (José Ignacio)|||/items/87349e89-7360-4cdd-81be-2e8a6174b5f6
Guruceaga-Martínez, E. (Elizabeth)|||/items/71d8df8b-4fab-4004-a38e-4057dddc85b2
Milagro-Yoldi, F.I. (Fermín Ignacio)|||/items/07cf7af6-1f5f-4720-8c14-5197a7a724eb
Martinez, J.A. (José Alfredo)|||/items/6a3581ea-897b-4439-a95c-19301775e131
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Dadun. Depósito Académico Digital Universidad de Navarra
dc.subject.none.fl_str_mv Genetic risk score
Gut microbiome
Obesity
Nutrigenetics
Metagenomics
topic Genetic risk score
Gut microbiome
Obesity
Nutrigenetics
Metagenomics
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
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01
2020
2020-01-01
2023
2023-11-14
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10171/67850
url https://hdl.handle.net/10171/67850
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI AG
publisher.none.fl_str_mv MDPI AG
dc.source.none.fl_str_mv reponame:Dadun. Depósito Académico Digital de la Universidad de Navarra
instname:Universidad de Navarra
instname_str Universidad de Navarra
reponame_str Dadun. Depósito Académico Digital de la Universidad de Navarra
collection Dadun. Depósito Académico Digital de la Universidad de Navarra
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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