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Systems biology of personalized nutrition
Personalized nutrition is fast becoming a reality due to a number of technological, scientific, and societal developments that complement and extend current public health nutrition recommendations. Personalized nutrition tailors dietary recommendations to specific biological requirements on the basi...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5914356/ https://www.ncbi.nlm.nih.gov/pubmed/28969366 http://dx.doi.org/10.1093/nutrit/nux029 |
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author | van Ommen, Ben van den Broek, Tim de Hoogh, Iris van Erk, Marjan van Someren, Eugene Rouhani-Rankouhi, Tanja Anthony, Joshua C Hogenelst, Koen Pasman, Wilrike Boorsma, André Wopereis, Suzan |
author_facet | van Ommen, Ben van den Broek, Tim de Hoogh, Iris van Erk, Marjan van Someren, Eugene Rouhani-Rankouhi, Tanja Anthony, Joshua C Hogenelst, Koen Pasman, Wilrike Boorsma, André Wopereis, Suzan |
author_sort | van Ommen, Ben |
collection | PubMed |
description | Personalized nutrition is fast becoming a reality due to a number of technological, scientific, and societal developments that complement and extend current public health nutrition recommendations. Personalized nutrition tailors dietary recommendations to specific biological requirements on the basis of a person’s health status and goals. The biology underpinning these recommendations is complex, and thus any recommendations must account for multiple biological processes and subprocesses occurring in various tissues and must be formed with an appreciation for how these processes interact with dietary nutrients and environmental factors. Therefore, a systems biology–based approach that considers the most relevant interacting biological mechanisms is necessary to formulate the best recommendations to help people meet their wellness goals. Here, the concept of “systems flexibility” is introduced to personalized nutrition biology. Systems flexibility allows the real-time evaluation of metabolism and other processes that maintain homeostasis following an environmental challenge, thereby enabling the formulation of personalized recommendations. Examples in the area of macro- and micronutrients are reviewed. Genetic variations and performance goals are integrated into this systems approach to provide a strategy for a balanced evaluation and an introduction to personalized nutrition. Finally, modeling approaches that combine personalized diagnosis and nutritional intervention into practice are reviewed. |
format | Online Article Text |
id | pubmed-5914356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-59143562018-05-04 Systems biology of personalized nutrition van Ommen, Ben van den Broek, Tim de Hoogh, Iris van Erk, Marjan van Someren, Eugene Rouhani-Rankouhi, Tanja Anthony, Joshua C Hogenelst, Koen Pasman, Wilrike Boorsma, André Wopereis, Suzan Nutr Rev Feature Article Personalized nutrition is fast becoming a reality due to a number of technological, scientific, and societal developments that complement and extend current public health nutrition recommendations. Personalized nutrition tailors dietary recommendations to specific biological requirements on the basis of a person’s health status and goals. The biology underpinning these recommendations is complex, and thus any recommendations must account for multiple biological processes and subprocesses occurring in various tissues and must be formed with an appreciation for how these processes interact with dietary nutrients and environmental factors. Therefore, a systems biology–based approach that considers the most relevant interacting biological mechanisms is necessary to formulate the best recommendations to help people meet their wellness goals. Here, the concept of “systems flexibility” is introduced to personalized nutrition biology. Systems flexibility allows the real-time evaluation of metabolism and other processes that maintain homeostasis following an environmental challenge, thereby enabling the formulation of personalized recommendations. Examples in the area of macro- and micronutrients are reviewed. Genetic variations and performance goals are integrated into this systems approach to provide a strategy for a balanced evaluation and an introduction to personalized nutrition. Finally, modeling approaches that combine personalized diagnosis and nutritional intervention into practice are reviewed. Oxford University Press 2017-08 2017-08-01 /pmc/articles/PMC5914356/ /pubmed/28969366 http://dx.doi.org/10.1093/nutrit/nux029 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of the International Life Sciences Institute This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Feature Article van Ommen, Ben van den Broek, Tim de Hoogh, Iris van Erk, Marjan van Someren, Eugene Rouhani-Rankouhi, Tanja Anthony, Joshua C Hogenelst, Koen Pasman, Wilrike Boorsma, André Wopereis, Suzan Systems biology of personalized nutrition |
title | Systems biology of personalized nutrition |
title_full | Systems biology of personalized nutrition |
title_fullStr | Systems biology of personalized nutrition |
title_full_unstemmed | Systems biology of personalized nutrition |
title_short | Systems biology of personalized nutrition |
title_sort | systems biology of personalized nutrition |
topic | Feature Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5914356/ https://www.ncbi.nlm.nih.gov/pubmed/28969366 http://dx.doi.org/10.1093/nutrit/nux029 |
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