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Ranges of phenotypic flexibility in healthy subjects
BACKGROUND: A key feature of metabolic health is the ability to adapt upon dietary perturbations. A systemic review defined an optimal nutritional challenge test, the “PhenFlex test” (PFT). Recently, it has been shown that the PFT enables the quantification of all relevant metabolic processes involv...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5718019/ https://www.ncbi.nlm.nih.gov/pubmed/29225708 http://dx.doi.org/10.1186/s12263-017-0589-8 |
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author | van den Broek, T. J. Bakker, G. C. M. Rubingh, C. M. Bijlsma, S. Stroeve, J. H. M. van Ommen, B. van Erk, M. J. Wopereis, S. |
author_facet | van den Broek, T. J. Bakker, G. C. M. Rubingh, C. M. Bijlsma, S. Stroeve, J. H. M. van Ommen, B. van Erk, M. J. Wopereis, S. |
author_sort | van den Broek, T. J. |
collection | PubMed |
description | BACKGROUND: A key feature of metabolic health is the ability to adapt upon dietary perturbations. A systemic review defined an optimal nutritional challenge test, the “PhenFlex test” (PFT). Recently, it has been shown that the PFT enables the quantification of all relevant metabolic processes involved in maintaining or regaining homeostasis of metabolic health. Furthermore, it was demonstrated that quantification of PFT response was more sensitive as compared to fasting markers in demonstrating reduced phenotypic flexibility in metabolically impaired type 2 diabetes subjects. METHODS: This study aims to demonstrate that quantification of PFT response can discriminate between different states of health within the healthy range of the population. Therefore, 100 healthy subjects were enrolled (50 males, 50 females) ranging in age (young, middle, old) and body fat percentage (low, medium, high), assuming variation in phenotypic flexibility. Biomarkers were selected to quantify main processes which characterize phenotypic flexibility in response to PFT: flexibility in glucose, lipid, amino acid and vitamin metabolism, and metabolic stress. Individual phenotypic flexibility was visualized using the “health space” by representing the four processes on the health space axes. By quantifying and presenting the study subjects in this space, individual phenotypic flexibility was visualized. RESULTS: Using the “health space” visualization, differences between groups as well as within groups from the healthy range of the population can be easily and intuitively assessed. The health space showed a different adaptation to the metabolic PhenFlex test in the extremes of the recruited population; persons of young age with low to normal fat percentage had a markedly different position in the health space as compared to persons from old age with normal to high fat percentage. CONCLUSION: The results of the metabolic PhenFlex test in conjunction with the health space reliably assessed health on an individual basis. This quantification can be used in the future for personalized health quantification and advice. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12263-017-0589-8) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5718019 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-57180192017-12-08 Ranges of phenotypic flexibility in healthy subjects van den Broek, T. J. Bakker, G. C. M. Rubingh, C. M. Bijlsma, S. Stroeve, J. H. M. van Ommen, B. van Erk, M. J. Wopereis, S. Genes Nutr Research BACKGROUND: A key feature of metabolic health is the ability to adapt upon dietary perturbations. A systemic review defined an optimal nutritional challenge test, the “PhenFlex test” (PFT). Recently, it has been shown that the PFT enables the quantification of all relevant metabolic processes involved in maintaining or regaining homeostasis of metabolic health. Furthermore, it was demonstrated that quantification of PFT response was more sensitive as compared to fasting markers in demonstrating reduced phenotypic flexibility in metabolically impaired type 2 diabetes subjects. METHODS: This study aims to demonstrate that quantification of PFT response can discriminate between different states of health within the healthy range of the population. Therefore, 100 healthy subjects were enrolled (50 males, 50 females) ranging in age (young, middle, old) and body fat percentage (low, medium, high), assuming variation in phenotypic flexibility. Biomarkers were selected to quantify main processes which characterize phenotypic flexibility in response to PFT: flexibility in glucose, lipid, amino acid and vitamin metabolism, and metabolic stress. Individual phenotypic flexibility was visualized using the “health space” by representing the four processes on the health space axes. By quantifying and presenting the study subjects in this space, individual phenotypic flexibility was visualized. RESULTS: Using the “health space” visualization, differences between groups as well as within groups from the healthy range of the population can be easily and intuitively assessed. The health space showed a different adaptation to the metabolic PhenFlex test in the extremes of the recruited population; persons of young age with low to normal fat percentage had a markedly different position in the health space as compared to persons from old age with normal to high fat percentage. CONCLUSION: The results of the metabolic PhenFlex test in conjunction with the health space reliably assessed health on an individual basis. This quantification can be used in the future for personalized health quantification and advice. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12263-017-0589-8) contains supplementary material, which is available to authorized users. BioMed Central 2017-12-06 /pmc/articles/PMC5718019/ /pubmed/29225708 http://dx.doi.org/10.1186/s12263-017-0589-8 Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research van den Broek, T. J. Bakker, G. C. M. Rubingh, C. M. Bijlsma, S. Stroeve, J. H. M. van Ommen, B. van Erk, M. J. Wopereis, S. Ranges of phenotypic flexibility in healthy subjects |
title | Ranges of phenotypic flexibility in healthy subjects |
title_full | Ranges of phenotypic flexibility in healthy subjects |
title_fullStr | Ranges of phenotypic flexibility in healthy subjects |
title_full_unstemmed | Ranges of phenotypic flexibility in healthy subjects |
title_short | Ranges of phenotypic flexibility in healthy subjects |
title_sort | ranges of phenotypic flexibility in healthy subjects |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5718019/ https://www.ncbi.nlm.nih.gov/pubmed/29225708 http://dx.doi.org/10.1186/s12263-017-0589-8 |
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