Literature DB >> 22423229

The sandpile model: optimal stress and hormesis.

Martha Stark1.   

Abstract

The sandpile model (developed by chaos theorists) is an elegant visual metaphor for the cumulative impact of environmental stressors on complex adaptive systems - an impact that is paradoxical by virtue of the fact that the grains of sand being steadily added to the gradually evolving sandpile are the occasion for both its disruption and its repair. As a result, complex adaptive systems are continuously refashioning themselves at ever-higher levels of complexity and integration - not just in spite of "stressful" input from the outside but by way of it. Stressful input is therefore inherently neither bad ("poison") nor good ("medication"). Rather, it will be how well the system (be it sandpile or living system) is able to process, integrate, and adapt to the stressful input that will make of it either a growth-disrupting (sandpile-destabilizing) event or a growth-promoting (sandpile-restabilizing) opportunity. Too much stress - "traumatic stress" - will be too overwhelming for the system to manage, triggering instead devastating breakdown. Too little stress will provide too little impetus for transformation and growth, serving instead simply to reinforce the system's status quo. But just the right amount of stress - "optimal stress" - will provoke recovery by activating the system's innate capacity to heal itself.

Entities:  

Keywords:  complexity theory; hormesis; sandpile model; stress response

Year:  2011        PMID: 22423229      PMCID: PMC3299528          DOI: 10.2203/dose-response.11-010.Stark

Source DB:  PubMed          Journal:  Dose Response        ISSN: 1559-3258            Impact factor:   2.658


  3 in total

1.  The hormetic dose-response model is more common than the threshold model in toxicology.

Authors:  Edward J Calabrese; Linda A Baldwin
Journal:  Toxicol Sci       Date:  2003-02       Impact factor: 4.849

2.  Self-organized criticality: An explanation of the 1/f noise.

Authors: 
Journal:  Phys Rev Lett       Date:  1987-07-27       Impact factor: 9.161

Review 3.  Stress, adaptation, and disease. Allostasis and allostatic load.

Authors:  B S McEwen
Journal:  Ann N Y Acad Sci       Date:  1998-05-01       Impact factor: 5.691

  3 in total
  4 in total

Review 1.  Chronic kidney disease and premature ageing.

Authors:  Jeroen P Kooman; Peter Kotanko; Annemie M W J Schols; Paul G Shiels; Peter Stenvinkel
Journal:  Nat Rev Nephrol       Date:  2014-10-07       Impact factor: 28.314

2.  Nonlinear effects of nanoparticles: biological variability from hormetic doses, small particle sizes, and dynamic adaptive interactions.

Authors:  Iris R Bell; John A Ives; Wayne B Jonas
Journal:  Dose Response       Date:  2013-11-07       Impact factor: 2.658

Review 3.  Integrative nanomedicine: treating cancer with nanoscale natural products.

Authors:  Iris R Bell; Barbara Sarter; Mary Koithan; Prasanta Banerji; Pratip Banerji; Shamini Jain; John Ives
Journal:  Glob Adv Health Med       Date:  2014-01

Review 4.  Biogerontology: research status, challenges and opportunities.

Authors:  Suresh I S Rattan
Journal:  Acta Biomed       Date:  2018-06-07
  4 in total

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