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Aging in complex interdependency networks.

Dervis C Vural1, Greg Morrison2, L Mahadevan3

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|October 30, 2014
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Summary
This summary is machine-generated.

Aging patterns across species share similarities due to interconnected, fault-prone agents. A simple model explains these aging features, independent of network structure, highlighting aging as a many-body effect.

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Area of Science:

  • Evolutionary biology
  • Complex systems science
  • Biophysics

Background:

  • Species longevity is influenced by various evolutionary factors, yet mortality curves exhibit remarkable similarity across diverse organisms.
  • Understanding the underlying mechanisms driving these consistent aging patterns is a significant challenge in biology.

Purpose of the Study:

  • To propose and validate a simple model that reproduces the qualitative and quantitative aspects of aging observed in empirical mortality curves.
  • To investigate the influence of initial conditions, damage/repair rates, and system size on lifetime and aging rate.
  • To explore the relationship between disease and death distributions and the structural independence of aging patterns.

Main Methods:

  • Development of a computational model based on the interdependence of fault-prone agents.
  • Fitting the model to empirical mortality data from six distinct organisms.
  • Analysis of model parameters, including initial conditions, damage and repair rates, and system size.
  • Comparison of size distributions for disease and death, and assessment of aging pattern sensitivity to network structure.

Main Results:

  • The proposed model successfully reproduces empirical mortality curves across diverse species.
  • Lifetime and aging rate are demonstrably dependent on initial conditions, damage/repair rates, and system size.
  • Disease and death exhibit qualitatively different size distributions.
  • Aging patterns were found to be independent of the specific interdependence network structure.

Conclusions:

  • Aging can be effectively modeled as a many-body phenomenon arising from agent interdependence.
  • The fundamental features of aging are robust and not critically dependent on the intricate details of dependency structures or their formation.
  • This model provides a unifying framework for understanding aging across different organisms.