Journal article
Robustness and aging — A systems-level perspective
BioSystems, v 112(1)
Apr 2013
PMID: 23562399
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
The theory of robustness describes a system level property of evolutionary systems, which predicts tradeoffs of great interest for the systems biology of aging, such as accumulation of non-heritable damage, occurrence of fragilities and limitations in performance, optimized allocation of restricted resources and confined redundancies. According to the robustness paradigm cells and organisms evolved into a state of highly optimized tolerance (HOT), which provides robustness to common perturbations, but causes tradeoffs generally characterized as “robust yet fragile”. This raises the question whether the ultimate cause of aging is more than a lack of adaptation, but an inherent fragility of complex evolutionary systems. Since robustness connects to evolutionary designs, consideration of this theory provides a deeper connection between evolutionary aspects of aging, mathematical models and experimental data. In this review several mechanisms influential for aging are re-evaluated in support of robustness tradeoffs. This includes asymmetric cell division improving performance and specialization with limited capacities to prevent and repair age-related damage, as well as feedback control mechanisms optimized to respond to acute stressors, but unable to halt nor revert aging. Improvement in robustness by increasing efficiencies through cellular redundancies in larger organisms alleviates some of the damaging effects of cellular specialization, which can be expressed in allometric relationships. The introduction of the robustness paradigm offers unique insights for aging research and provides novel opportunities for systems biology endeavors.
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Details
- Title
- Robustness and aging — A systems-level perspective
- Creators
- Andres Kriete - Drexel University
- Publication Details
- BioSystems, v 112(1)
- Publisher
- Elsevier Ireland Ltd
- Number of pages
- 12
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000319550300004
- Scopus ID
- 2-s2.0-84876794933
- Other Identifier
- 991014877984604721
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- Web of Science research areas
- Biology
- Mathematical & Computational Biology