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Improving Metabolic Health Through Precision Dietetics in Mice
The incidence of diet-induced metabolic disease has soared over the last half-century, despite national efforts to improve health through universal dietary recommendations. Studies comparing dietary patterns of populations with health outcomes have historically provided the basis for healthy diet re...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753872/ https://www.ncbi.nlm.nih.gov/pubmed/29158425 http://dx.doi.org/10.1534/genetics.117.300536 |
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author | Barrington, William T. Wulfridge, Phillip Wells, Ann E. Rojas, Carolina Mantilla Howe, Selene Y. F. Perry, Amie Hua, Kunjie Pellizzon, Michael A. Hansen, Kasper D. Voy, Brynn H. Bennett, Brian J. Pomp, Daniel Feinberg, Andrew P. Threadgill, David W. |
author_facet | Barrington, William T. Wulfridge, Phillip Wells, Ann E. Rojas, Carolina Mantilla Howe, Selene Y. F. Perry, Amie Hua, Kunjie Pellizzon, Michael A. Hansen, Kasper D. Voy, Brynn H. Bennett, Brian J. Pomp, Daniel Feinberg, Andrew P. Threadgill, David W. |
author_sort | Barrington, William T. |
collection | PubMed |
description | The incidence of diet-induced metabolic disease has soared over the last half-century, despite national efforts to improve health through universal dietary recommendations. Studies comparing dietary patterns of populations with health outcomes have historically provided the basis for healthy diet recommendations. However, evidence that population-level diet responses are reliable indicators of responses across individuals is lacking. This study investigated how genetic differences influence health responses to several popular diets in mice, which are similar to humans in genetic composition and the propensity to develop metabolic disease, but enable precise genetic and environmental control. We designed four human-comparable mouse diets that are representative of those eaten by historical human populations. Across four genetically distinct inbred mouse strains, we compared the American diet’s impact on metabolic health to three alternative diets (Mediterranean, Japanese, and Maasai/ketogenic). Furthermore, we investigated metabolomic and epigenetic alterations associated with diet response. Health effects of the diets were highly dependent on genetic background, demonstrating that individualized diet strategies improve health outcomes in mice. If similar genetic-dependent diet responses exist in humans, then a personalized, or “precision dietetics,” approach to dietary recommendations may yield better health outcomes than the traditional one-size-fits-all approach. |
format | Online Article Text |
id | pubmed-5753872 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Genetics Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-57538722018-01-08 Improving Metabolic Health Through Precision Dietetics in Mice Barrington, William T. Wulfridge, Phillip Wells, Ann E. Rojas, Carolina Mantilla Howe, Selene Y. F. Perry, Amie Hua, Kunjie Pellizzon, Michael A. Hansen, Kasper D. Voy, Brynn H. Bennett, Brian J. Pomp, Daniel Feinberg, Andrew P. Threadgill, David W. Genetics Investigations The incidence of diet-induced metabolic disease has soared over the last half-century, despite national efforts to improve health through universal dietary recommendations. Studies comparing dietary patterns of populations with health outcomes have historically provided the basis for healthy diet recommendations. However, evidence that population-level diet responses are reliable indicators of responses across individuals is lacking. This study investigated how genetic differences influence health responses to several popular diets in mice, which are similar to humans in genetic composition and the propensity to develop metabolic disease, but enable precise genetic and environmental control. We designed four human-comparable mouse diets that are representative of those eaten by historical human populations. Across four genetically distinct inbred mouse strains, we compared the American diet’s impact on metabolic health to three alternative diets (Mediterranean, Japanese, and Maasai/ketogenic). Furthermore, we investigated metabolomic and epigenetic alterations associated with diet response. Health effects of the diets were highly dependent on genetic background, demonstrating that individualized diet strategies improve health outcomes in mice. If similar genetic-dependent diet responses exist in humans, then a personalized, or “precision dietetics,” approach to dietary recommendations may yield better health outcomes than the traditional one-size-fits-all approach. Genetics Society of America 2018-01 2017-11-20 /pmc/articles/PMC5753872/ /pubmed/29158425 http://dx.doi.org/10.1534/genetics.117.300536 Text en Copyright © 2018 by the Genetics Society of America Available freely online through the author-supported open access option. |
spellingShingle | Investigations Barrington, William T. Wulfridge, Phillip Wells, Ann E. Rojas, Carolina Mantilla Howe, Selene Y. F. Perry, Amie Hua, Kunjie Pellizzon, Michael A. Hansen, Kasper D. Voy, Brynn H. Bennett, Brian J. Pomp, Daniel Feinberg, Andrew P. Threadgill, David W. Improving Metabolic Health Through Precision Dietetics in Mice |
title | Improving Metabolic Health Through Precision Dietetics in Mice |
title_full | Improving Metabolic Health Through Precision Dietetics in Mice |
title_fullStr | Improving Metabolic Health Through Precision Dietetics in Mice |
title_full_unstemmed | Improving Metabolic Health Through Precision Dietetics in Mice |
title_short | Improving Metabolic Health Through Precision Dietetics in Mice |
title_sort | improving metabolic health through precision dietetics in mice |
topic | Investigations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5753872/ https://www.ncbi.nlm.nih.gov/pubmed/29158425 http://dx.doi.org/10.1534/genetics.117.300536 |
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