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Altered macronutrient composition and genetics influence the complex transcriptional network associated with adiposity in the Collaborative Cross

BACKGROUND: Obesity is a serious disease with a complex etiology characterized by overaccumulation of adiposity resulting in detrimental health outcomes. Given the liver’s critical role in the biological processes that attenuate adiposity accumulation, elucidating the influence of genetics and dieta...

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Autores principales: Yam, Phoebe, VerHague, Melissa, Albright, Jody, Gertz, Erik, Pardo-Manuel de Villena, Fernando, Bennett, Brian J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9364539/
https://www.ncbi.nlm.nih.gov/pubmed/35945490
http://dx.doi.org/10.1186/s12263-022-00714-x
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author Yam, Phoebe
VerHague, Melissa
Albright, Jody
Gertz, Erik
Pardo-Manuel de Villena, Fernando
Bennett, Brian J.
author_facet Yam, Phoebe
VerHague, Melissa
Albright, Jody
Gertz, Erik
Pardo-Manuel de Villena, Fernando
Bennett, Brian J.
author_sort Yam, Phoebe
collection PubMed
description BACKGROUND: Obesity is a serious disease with a complex etiology characterized by overaccumulation of adiposity resulting in detrimental health outcomes. Given the liver’s critical role in the biological processes that attenuate adiposity accumulation, elucidating the influence of genetics and dietary patterns on hepatic gene expression is fundamental for improving methods of obesity prevention and treatment. To determine how genetics and diet impact obesity development, mice from 22 strains of the genetically diverse recombinant inbred Collaborative Cross (CC) mouse panel were challenged to either a high-protein or high-fat high-sucrose diet, followed by extensive phenotyping and analysis of hepatic gene expression. RESULTS: Over 1000 genes differentially expressed by perturbed dietary macronutrient composition were enriched for biological processes related to metabolic pathways. Additionally, over 9000 genes were differentially expressed by strain and enriched for biological process involved in cell adhesion and signaling. Weighted gene co-expression network analysis identified multiple gene clusters (modules) associated with body fat % whose average expression levels were influenced by both dietary macronutrient composition and genetics. Each module was enriched for distinct types of biological functions. CONCLUSIONS: Genetic background affected hepatic gene expression in the CC overall, but diet macronutrient differences also altered expression of a specific subset of genes. Changes in macronutrient composition altered gene expression related to metabolic processes, while genetic background heavily influenced a broad range of cellular functions and processes irrespective of adiposity. Understanding the individual role of macronutrient composition, genetics, and their interaction is critical to developing therapeutic strategies and policy recommendations for precision nutrition. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12263-022-00714-x.
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spelling pubmed-93645392022-08-11 Altered macronutrient composition and genetics influence the complex transcriptional network associated with adiposity in the Collaborative Cross Yam, Phoebe VerHague, Melissa Albright, Jody Gertz, Erik Pardo-Manuel de Villena, Fernando Bennett, Brian J. Genes Nutr Research BACKGROUND: Obesity is a serious disease with a complex etiology characterized by overaccumulation of adiposity resulting in detrimental health outcomes. Given the liver’s critical role in the biological processes that attenuate adiposity accumulation, elucidating the influence of genetics and dietary patterns on hepatic gene expression is fundamental for improving methods of obesity prevention and treatment. To determine how genetics and diet impact obesity development, mice from 22 strains of the genetically diverse recombinant inbred Collaborative Cross (CC) mouse panel were challenged to either a high-protein or high-fat high-sucrose diet, followed by extensive phenotyping and analysis of hepatic gene expression. RESULTS: Over 1000 genes differentially expressed by perturbed dietary macronutrient composition were enriched for biological processes related to metabolic pathways. Additionally, over 9000 genes were differentially expressed by strain and enriched for biological process involved in cell adhesion and signaling. Weighted gene co-expression network analysis identified multiple gene clusters (modules) associated with body fat % whose average expression levels were influenced by both dietary macronutrient composition and genetics. Each module was enriched for distinct types of biological functions. CONCLUSIONS: Genetic background affected hepatic gene expression in the CC overall, but diet macronutrient differences also altered expression of a specific subset of genes. Changes in macronutrient composition altered gene expression related to metabolic processes, while genetic background heavily influenced a broad range of cellular functions and processes irrespective of adiposity. Understanding the individual role of macronutrient composition, genetics, and their interaction is critical to developing therapeutic strategies and policy recommendations for precision nutrition. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12263-022-00714-x. BioMed Central 2022-08-10 /pmc/articles/PMC9364539/ /pubmed/35945490 http://dx.doi.org/10.1186/s12263-022-00714-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research
Yam, Phoebe
VerHague, Melissa
Albright, Jody
Gertz, Erik
Pardo-Manuel de Villena, Fernando
Bennett, Brian J.
Altered macronutrient composition and genetics influence the complex transcriptional network associated with adiposity in the Collaborative Cross
title Altered macronutrient composition and genetics influence the complex transcriptional network associated with adiposity in the Collaborative Cross
title_full Altered macronutrient composition and genetics influence the complex transcriptional network associated with adiposity in the Collaborative Cross
title_fullStr Altered macronutrient composition and genetics influence the complex transcriptional network associated with adiposity in the Collaborative Cross
title_full_unstemmed Altered macronutrient composition and genetics influence the complex transcriptional network associated with adiposity in the Collaborative Cross
title_short Altered macronutrient composition and genetics influence the complex transcriptional network associated with adiposity in the Collaborative Cross
title_sort altered macronutrient composition and genetics influence the complex transcriptional network associated with adiposity in the collaborative cross
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9364539/
https://www.ncbi.nlm.nih.gov/pubmed/35945490
http://dx.doi.org/10.1186/s12263-022-00714-x
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