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Measuring biological age in mice using differential mass spectrometry
Aging is an ill-defined process that increases the risk of morbidity and mortality. Aging is also heterogeneous meaning that biological and chronological age can differ. Here, we used unbiased differential mass spectrometry to quantify thousands of proteins in mouse liver and select those that that...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6382423/ https://www.ncbi.nlm.nih.gov/pubmed/30745468 http://dx.doi.org/10.18632/aging.101810 |
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author | Bell-Temin, Harris Yousefzadeh, Matthew J. Bondarenko, Andrey Quarles, Ellen Jones-Laughner, Jacqueline Robbins, Paul D. Ladiges, Warren Niedernhofer, Laura J. Yates, Nathan A. |
author_facet | Bell-Temin, Harris Yousefzadeh, Matthew J. Bondarenko, Andrey Quarles, Ellen Jones-Laughner, Jacqueline Robbins, Paul D. Ladiges, Warren Niedernhofer, Laura J. Yates, Nathan A. |
author_sort | Bell-Temin, Harris |
collection | PubMed |
description | Aging is an ill-defined process that increases the risk of morbidity and mortality. Aging is also heterogeneous meaning that biological and chronological age can differ. Here, we used unbiased differential mass spectrometry to quantify thousands of proteins in mouse liver and select those that that consistently change in expression as mice age. A panel of 14 proteins from inbred C57BL/6 mice was used to equate chronological and biological age in this reference population, against which other mice could be compared. This “biological age calculator” identified two strains of f1 hybrid mice as biologically younger than inbred mice and progeroid mice as being biologically older. In an independent validation experiment, the calculator identified mice treated with rapamycin, known to extend lifespan of mice, as 18% younger than mice fed a placebo diet. This demonstrates that it is possible to measure subtle changes in biologic age in mammals using a proteomics approach. |
format | Online Article Text |
id | pubmed-6382423 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Impact Journals |
record_format | MEDLINE/PubMed |
spelling | pubmed-63824232019-02-27 Measuring biological age in mice using differential mass spectrometry Bell-Temin, Harris Yousefzadeh, Matthew J. Bondarenko, Andrey Quarles, Ellen Jones-Laughner, Jacqueline Robbins, Paul D. Ladiges, Warren Niedernhofer, Laura J. Yates, Nathan A. Aging (Albany NY) Research Paper Aging is an ill-defined process that increases the risk of morbidity and mortality. Aging is also heterogeneous meaning that biological and chronological age can differ. Here, we used unbiased differential mass spectrometry to quantify thousands of proteins in mouse liver and select those that that consistently change in expression as mice age. A panel of 14 proteins from inbred C57BL/6 mice was used to equate chronological and biological age in this reference population, against which other mice could be compared. This “biological age calculator” identified two strains of f1 hybrid mice as biologically younger than inbred mice and progeroid mice as being biologically older. In an independent validation experiment, the calculator identified mice treated with rapamycin, known to extend lifespan of mice, as 18% younger than mice fed a placebo diet. This demonstrates that it is possible to measure subtle changes in biologic age in mammals using a proteomics approach. Impact Journals 2019-02-11 /pmc/articles/PMC6382423/ /pubmed/30745468 http://dx.doi.org/10.18632/aging.101810 Text en Copyright © 2019 Bell-Temin et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution (CC BY) 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Paper Bell-Temin, Harris Yousefzadeh, Matthew J. Bondarenko, Andrey Quarles, Ellen Jones-Laughner, Jacqueline Robbins, Paul D. Ladiges, Warren Niedernhofer, Laura J. Yates, Nathan A. Measuring biological age in mice using differential mass spectrometry |
title | Measuring biological age in mice using differential mass spectrometry |
title_full | Measuring biological age in mice using differential mass spectrometry |
title_fullStr | Measuring biological age in mice using differential mass spectrometry |
title_full_unstemmed | Measuring biological age in mice using differential mass spectrometry |
title_short | Measuring biological age in mice using differential mass spectrometry |
title_sort | measuring biological age in mice using differential mass spectrometry |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6382423/ https://www.ncbi.nlm.nih.gov/pubmed/30745468 http://dx.doi.org/10.18632/aging.101810 |
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