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Reliability theory of aging and longevity is a scientific approach aimed to gain theoretical insights into mechanisms of biological aging and species survival patterns by applying a general theory of systems failure, known as reliability theory.
Overview[edit | edit source]
Reliability theory allows researchers to predict the age-related failure kinetics for a system of given architecture (reliability structure) and given reliability of its components. Applications of reliability-theory approach to the problem of biological aging and species longevity lead to the following conclusions:
(1) Redundancy is a key notion for understanding aging and the systemic nature of aging in particular. Systems, which are redundant in numbers of irreplaceable elements, do deteriorate (i.e., are aging) over time, even if they are built of non-aging elements.
(3) Redundancy exhaustion over the life course explains the observed 'compensation law of mortality' (mortality convergence at later life, when death rates are becoming relatively similar at advanced ages for different populations of the same biological species), as well as the observed late-life mortality deceleration, leveling-off, and mortality plateaus.
(4) Living organisms seem to be formed with a high initial load of damage (HIDL hypothesis), and therefore their lifespan and aging patterns may be sensitive to early-life conditions that determine this initial damage load during early development. The idea of early-life programming of aging and longevity may have important practical implications for developing early-life interventions promoting health and longevity.
(5) Reliability theory explains why mortality rates increase exponentially with age (the Gompertz law) in many species, by taking into account the initial flaws (defects) in newly formed systems. It also explains why organisms "prefer" to die according to the Gompertz law, while technical devices usually fail according to the Weibull (power) law. Theoretical conditions are specified when organisms die according to the Weibull law: organisms should be relatively free of initial flaws and defects. The theory makes it possible to find a general failure law applicable to all adult and extreme old ages, where the Gompertz and the Weibull laws are just special cases of this more general failure law.
(6) Reliability theory helps evolutionary theories to explain how the age of onset of deleterious mutations could be postponed during evolution, which could be easily achieved by a simple increase in initial redundancy levels. From the reliability perspective, the increase in initial redundancy levels is the simplest way to improve survival at particularly early reproductive ages (with gains fading at older ages). This matches exactly with the higher fitness priority of early reproductive ages emphasized by evolutionary theories. Evolutionary and reliability ideas also help in understanding why organisms seem to "choose" a simple but short-term solution of the survival problem through enhancing the systems' redundancy, instead of a more permanent but complicated solution based on rigorous repair (with the potential of achieving negligible senescence). Thus there are promising opportunities for merging the reliability and evolutionary theories of aging.
Overall, the reliability theory provides a parsimonious explanation for many important aging-related phenomena and suggests a number of interesting testable predictions. Therefore, reliability theory seems to be a promising approach for developing a comprehensive theory of aging and longevity integrating mathematical methods with specific biological knowledge and evolutionary ideas.
References[edit | edit source]
Gavrilov LA, Gavrilova NS. Reliability Theory of Aging and Longevity. In: Masoro E.J. & Austad S.N.. (eds.): Handbook of the Biology of Aging, Sixth Edition. Academic Press. San Diego, CA, USA, 2006, 3-42. ISBN 0120883872
Gavrilov LA, Gavrilova NS. Why We Fall Apart. Engineering's Reliability Theory Explains Human Aging. IEEE Spectrum, 2004, 41(9): 30-35.
Gavrilov LA, Gavrilova NS. The Reliability-Engineering Approach to the Problem of Biological Aging. Annals of the New York Academy of Sciences, 2004, 1019: 509-512. PMID 15247076
Gavrilov L.A., Gavrilova N.S. The quest for a general theory of aging and longevity. Science's SAGE KE (Science of Aging Knowledge Environment) for 16 July 2003; Vol. 2003, No. 28, 1-10. http://sageke.sciencemag.org , PMID 12867663
Gavrilov L.A., Gavrilova N.S. The reliability theory of aging and longevity. Journal of Theoretical Biology, 2001, 213(4): 527-545. PMID 11742523
Gavrilov, L.A. A mathematical model of the aging of animals. Proc. Acad. Sci. USSR [Doklady Akademii Nauk SSSR], 1978, 238(2): 490-492. English translation by Plenum Publ Corp: pp.53-55. PMID 624242
Gavrilov, L.A., Gavrilova, N.S., Yaguzhinsky, L.S. The main regularities of animal aging and death viewed in terms of reliability theory. J. General Biology [Zhurnal Obschey Biologii], 1978, 39(5): 734-742. PMID 716614
See also[edit | edit source]
- Reliability theory
- Reliability engineering
- Biodemography of human longevity
- Systems engineering
- Safety engineering
- Failure rate
- Human reliability
- Burn in
- Reliable system design
[edit | edit source]
- Reliability Theory of Aging and Longevity - abstract of invited lecture at the University of California, Santa Cruz. Applied Mathematics & Statistics (AMS) and CSTAR Research Seminars, October 10, 2005.
- Reliability Theory of Aging and Longevity - Power-Point Presentation of invited lecture at the University of Chicago. The Ecology and Evolution Natural History Seminar, Department of Ecology and Evolution, May 10, 2005.
- Reliability-Engineering Approach to the Problem of Biological Aging - invited presentation at the 10th Congress of the International Association of Biomedical Gerontology, Cambridge University, England, September 19-23, 2003.
Media coverage[edit | edit source]
- “Aging, in Theory: A Personal Pursuit. Do body system redundancies hold the key? “ The Scientist, 16(10): 20, May 13, 2002
- “Engineering and Aging: The Best Is Yet to Be“ IEEE Spectrum - September 2004, 41(9): 10.
- “Human Reliability. We break down just like machines“ Industrial Engineer - November 2004, 36(11): 66
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