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Physiological frailty index (PFI): quantitative in-life estimate of individual biological age in mice
The development of healthspan-extending pharmaceuticals requires quantitative estimation of age-related progressive physiological decline. In humans, individual health status can be quantitatively assessed by means of a frailty index (FI), a parameter which reflects the scale of accumulation of age-...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5391222/ https://www.ncbi.nlm.nih.gov/pubmed/28325885 http://dx.doi.org/10.18632/aging.101206 |
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author | Antoch, Marina P. Wrobel, Michelle Kuropatwinski, Karen K. Gitlin, Ilya Leonova, Katerina I. Toshkov, Ilia Gleiberman, Anatoli S. Hutson, Alan D. Chernova, Olga B. Gudkov, Andrei V. |
author_facet | Antoch, Marina P. Wrobel, Michelle Kuropatwinski, Karen K. Gitlin, Ilya Leonova, Katerina I. Toshkov, Ilia Gleiberman, Anatoli S. Hutson, Alan D. Chernova, Olga B. Gudkov, Andrei V. |
author_sort | Antoch, Marina P. |
collection | PubMed |
description | The development of healthspan-extending pharmaceuticals requires quantitative estimation of age-related progressive physiological decline. In humans, individual health status can be quantitatively assessed by means of a frailty index (FI), a parameter which reflects the scale of accumulation of age-related deficits. However, adaptation of this methodology to animal models is a challenging task since it includes multiple subjective parameters. Here we report a development of a quantitative non-invasive procedure to estimate biological age of an individual animal by creating physiological frailty index (PFI). We demonstrated the dynamics of PFI increase during chronological aging of male and female NIH Swiss mice. We also demonstrated acceleration of growth of PFI in animals placed on a high fat diet, reflecting aging acceleration by obesity and provide a tool for its quantitative assessment. Additionally, we showed that PFI could reveal anti-aging effect of mTOR inhibitor rapatar (bioavailable formulation of rapamycin) prior to registration of its effects on longevity. PFI revealed substantial sex-related differences in normal chronological aging and in the efficacy of detrimental (high fat diet) or beneficial (rapatar) aging modulatory factors. Together, these data introduce PFI as a reliable, non-invasive, quantitative tool suitable for testing potential anti-aging pharmaceuticals in pre-clinical studies. |
format | Online Article Text |
id | pubmed-5391222 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-53912222017-04-20 Physiological frailty index (PFI): quantitative in-life estimate of individual biological age in mice Antoch, Marina P. Wrobel, Michelle Kuropatwinski, Karen K. Gitlin, Ilya Leonova, Katerina I. Toshkov, Ilia Gleiberman, Anatoli S. Hutson, Alan D. Chernova, Olga B. Gudkov, Andrei V. Aging (Albany NY) Research Paper The development of healthspan-extending pharmaceuticals requires quantitative estimation of age-related progressive physiological decline. In humans, individual health status can be quantitatively assessed by means of a frailty index (FI), a parameter which reflects the scale of accumulation of age-related deficits. However, adaptation of this methodology to animal models is a challenging task since it includes multiple subjective parameters. Here we report a development of a quantitative non-invasive procedure to estimate biological age of an individual animal by creating physiological frailty index (PFI). We demonstrated the dynamics of PFI increase during chronological aging of male and female NIH Swiss mice. We also demonstrated acceleration of growth of PFI in animals placed on a high fat diet, reflecting aging acceleration by obesity and provide a tool for its quantitative assessment. Additionally, we showed that PFI could reveal anti-aging effect of mTOR inhibitor rapatar (bioavailable formulation of rapamycin) prior to registration of its effects on longevity. PFI revealed substantial sex-related differences in normal chronological aging and in the efficacy of detrimental (high fat diet) or beneficial (rapatar) aging modulatory factors. Together, these data introduce PFI as a reliable, non-invasive, quantitative tool suitable for testing potential anti-aging pharmaceuticals in pre-clinical studies. Impact Journals LLC 2017-03-19 /pmc/articles/PMC5391222/ /pubmed/28325885 http://dx.doi.org/10.18632/aging.101206 Text en Copyright: © 2017 Antoch et al. http://creativecommons.org/licenses/by/3.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Research Paper Antoch, Marina P. Wrobel, Michelle Kuropatwinski, Karen K. Gitlin, Ilya Leonova, Katerina I. Toshkov, Ilia Gleiberman, Anatoli S. Hutson, Alan D. Chernova, Olga B. Gudkov, Andrei V. Physiological frailty index (PFI): quantitative in-life estimate of individual biological age in mice |
title | Physiological frailty index (PFI): quantitative in-life estimate of individual biological age in mice |
title_full | Physiological frailty index (PFI): quantitative in-life estimate of individual biological age in mice |
title_fullStr | Physiological frailty index (PFI): quantitative in-life estimate of individual biological age in mice |
title_full_unstemmed | Physiological frailty index (PFI): quantitative in-life estimate of individual biological age in mice |
title_short | Physiological frailty index (PFI): quantitative in-life estimate of individual biological age in mice |
title_sort | physiological frailty index (pfi): quantitative in-life estimate of individual biological age in mice |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5391222/ https://www.ncbi.nlm.nih.gov/pubmed/28325885 http://dx.doi.org/10.18632/aging.101206 |
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