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How lifespan associated genes modulate aging changes: lessons from analysis of longitudinal data
Background and Objective: The influence of genes on human lifespan is mediated by biological processes that characterize body's functioning. The age trajectories of these processes contain important information about mechanisms linking aging, health, and lifespan. The objective of this paper is...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3551204/ https://www.ncbi.nlm.nih.gov/pubmed/23346098 http://dx.doi.org/10.3389/fgene.2013.00003 |
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author | Yashin, Anatoliy I. Arbeev, Konstantin G. Wu, Deqing Arbeeva, Liubov S. Kulminski, Alexander Akushevich, Igor Culminskaya, Irina Stallard, Eric Ukraintseva, Svetlana V. |
author_facet | Yashin, Anatoliy I. Arbeev, Konstantin G. Wu, Deqing Arbeeva, Liubov S. Kulminski, Alexander Akushevich, Igor Culminskaya, Irina Stallard, Eric Ukraintseva, Svetlana V. |
author_sort | Yashin, Anatoliy I. |
collection | PubMed |
description | Background and Objective: The influence of genes on human lifespan is mediated by biological processes that characterize body's functioning. The age trajectories of these processes contain important information about mechanisms linking aging, health, and lifespan. The objective of this paper is to investigate regularities of aging changes in different groups of individuals, including individuals with different genetic background, as well as their connections with health and lifespan. Data and Method: To reach this objective we used longitudinal data on four physiological variables, information about health and lifespan collected in the Framingham Heart Study (FHS), data on longevity alleles detected in earlier study, as well as methods of statistical modeling. Results: We found that phenotypes of exceptional longevity and health are linked to distinct types of changes in physiological indices during aging. We also found that components of aging changes differ in groups of individuals with different genetic background. Conclusions: These results suggest that factors responsible for exceptional longevity and health are not necessary the same, and that postponing aging changes is associated with extreme longevity. The genetic factors which increase lifespan are associated with physiological changes typical of healthy and long-living individuals, smaller mortality risks from cancer and CVD and better estimates of adaptive capacity in statistical modeling. This indicates that extreme longevity and health related traits are likely to be less heterogeneous phenotypes than lifespan, and studying these phenotypes separately from lifespan may provide additional information about mechanisms of human aging and its relation to chronic diseases and lifespan. |
format | Online Article Text |
id | pubmed-3551204 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-35512042013-01-23 How lifespan associated genes modulate aging changes: lessons from analysis of longitudinal data Yashin, Anatoliy I. Arbeev, Konstantin G. Wu, Deqing Arbeeva, Liubov S. Kulminski, Alexander Akushevich, Igor Culminskaya, Irina Stallard, Eric Ukraintseva, Svetlana V. Front Genet Genetics Background and Objective: The influence of genes on human lifespan is mediated by biological processes that characterize body's functioning. The age trajectories of these processes contain important information about mechanisms linking aging, health, and lifespan. The objective of this paper is to investigate regularities of aging changes in different groups of individuals, including individuals with different genetic background, as well as their connections with health and lifespan. Data and Method: To reach this objective we used longitudinal data on four physiological variables, information about health and lifespan collected in the Framingham Heart Study (FHS), data on longevity alleles detected in earlier study, as well as methods of statistical modeling. Results: We found that phenotypes of exceptional longevity and health are linked to distinct types of changes in physiological indices during aging. We also found that components of aging changes differ in groups of individuals with different genetic background. Conclusions: These results suggest that factors responsible for exceptional longevity and health are not necessary the same, and that postponing aging changes is associated with extreme longevity. The genetic factors which increase lifespan are associated with physiological changes typical of healthy and long-living individuals, smaller mortality risks from cancer and CVD and better estimates of adaptive capacity in statistical modeling. This indicates that extreme longevity and health related traits are likely to be less heterogeneous phenotypes than lifespan, and studying these phenotypes separately from lifespan may provide additional information about mechanisms of human aging and its relation to chronic diseases and lifespan. Frontiers Media S.A. 2013-01-22 /pmc/articles/PMC3551204/ /pubmed/23346098 http://dx.doi.org/10.3389/fgene.2013.00003 Text en Copyright © 2013 Yashin, Arbeev, Wu, Arbeeva, Kulminski, Akushevich, Culminskaya, Stallard and Ukraintseva. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc. |
spellingShingle | Genetics Yashin, Anatoliy I. Arbeev, Konstantin G. Wu, Deqing Arbeeva, Liubov S. Kulminski, Alexander Akushevich, Igor Culminskaya, Irina Stallard, Eric Ukraintseva, Svetlana V. How lifespan associated genes modulate aging changes: lessons from analysis of longitudinal data |
title | How lifespan associated genes modulate aging changes: lessons from analysis of longitudinal data |
title_full | How lifespan associated genes modulate aging changes: lessons from analysis of longitudinal data |
title_fullStr | How lifespan associated genes modulate aging changes: lessons from analysis of longitudinal data |
title_full_unstemmed | How lifespan associated genes modulate aging changes: lessons from analysis of longitudinal data |
title_short | How lifespan associated genes modulate aging changes: lessons from analysis of longitudinal data |
title_sort | how lifespan associated genes modulate aging changes: lessons from analysis of longitudinal data |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3551204/ https://www.ncbi.nlm.nih.gov/pubmed/23346098 http://dx.doi.org/10.3389/fgene.2013.00003 |
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