Resistance to stresses and reliability of biological systems: Insights for genetic studies of human aging, health, and longevity
Abstract
© 2016 IEEE.Connection between stress resistance and longevity in biological organisms
is widely discussed and confirmed experimentally. Much less is known about the roles
of genetic and non-genetic factors in regulation of such connection. Earlier studies
emphasized that mechanism that realizes such connection involves interplay between
processes of individual aging and external challenges. As a result of such interplay
the parameters of the Gompertz mortality curve are negatively correlated. Such correlation
has been also observed in the process of survival improvement in developed part of
the world during the first part of the last century. The mortality decline was mainly
due to favorable changes in external and living conditions as well as progress in
health care. Surprisingly, similar pattern of survival changes is observed in the
groups of individuals ranked with respect to the number of «longevity» alleles carried
by individuals. We showed that this phenomenon can be interpreted as an increase in
resistance to stresses and showed that similar effect is observed in reliability of
technical systems when redundancy of their components increases. The availability
of longitudinal data for genotyped individuals opens unique opportunity to address
more sophisticated questions about roles of genetic and non-genetic factors in connection
between aging, stress resistance and longevity in humans. For this purpose the dynamic
model of human mortality and aging is used. We show how such model can be used in
genetic analyses of fundamental processes of interaction between genetic and non-genetic
factors to influence human longevity.
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ConferencePermalink
https://hdl.handle.net/10161/14818Published Version (Please cite this version)
10.1109/SMRLO.2016.70Collections
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Igor Akushevich
Research Professor in the Social Science Research Institute
Konstantin Arbeev
Associate Research Professor in the Social Science Research Institute
Konstantin G. Arbeev received the M.S. degree in Applied Mathematics from Moscow State
University (branch in Ulyanovsk, Russia) in 1995 and the Ph.D. degree in Mathematics
and Physics (specialization in Theoretical Foundations of Mathematical Modeling, Numerical
Methods and Programming) from Ulyanovsk State University (Russia) in 1999. He was
a post-doctoral fellow in Max Planck Institute for Demographic Research in Rostock
(Germany) before moving to Duke University in 2004 to work as a Resea
Mikhail Kovtun
Biostatistician III
Alexander Kulminski
Research Professor in the Social Science Research Institute
Svetlana Ukraintseva
Associate Research Professor in the Social Science Research Institute
Dr. Ukraintseva studies causes of human aging and related decline in resilience, to
identify genetic and other factors responsible for the increase in mortality risk
with age eventually limiting longevity. She explores complex relationships, including
trade-offs, between physiological aging-changes and risks of major diseases (with
emphasis on Alzheimer’s and cancer), as well as survival, to find new genetic and
other targets for anti-aging interventions and disease prevention. S
Dequing Wu
Research Scientist, Senior
Anatoli I. Yashin
Research Professor in the Social Science Research Institute
Ilya Zhbannikov
Biostatistician III
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