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Lattice percolation approach to 3D modeling of tissue aging

Author

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  • Gorshkov, Vyacheslav
  • Privman, Vladimir
  • Libert, Sergiy

Abstract

We describe a 3D percolation-type approach to modeling of the processes of aging and certain other properties of tissues analyzed as systems consisting of interacting cells. Lattice sites are designated as regular (healthy) cells, senescent cells, or vacancies left by dead (apoptotic) cells. The system is then studied dynamically with the ongoing processes including regular cell dividing to fill vacant sites, healthy cells becoming senescent or dying, and senescent cells dying. Statistical-mechanics description can provide patterns of time dependence and snapshots of morphological system properties. The developed theoretical modeling approach is found not only to corroborate recent experimental findings that inhibition of senescence can lead to extended lifespan, but also to confirm that, unlike 2D, in 3D senescent cells can contribute to tissue’s connectivity/mechanical stability. The latter effect occurs by senescent cells forming the second infinite cluster in the regime when the regular (healthy) cell’s infinite cluster still exists.

Suggested Citation

  • Gorshkov, Vyacheslav & Privman, Vladimir & Libert, Sergiy, 2016. "Lattice percolation approach to 3D modeling of tissue aging," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 462(C), pages 207-216.
  • Handle: RePEc:eee:phsmap:v:462:y:2016:i:c:p:207-216
    DOI: 10.1016/j.physa.2016.05.067
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    References listed on IDEAS

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    1. Domanskyi, Sergii & Privman, Vladimir, 2014. "Percolation modeling of self-damaging of composite materials," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 1-9.
    2. Philippe Cordier & François Tournilhac & Corinne Soulié-Ziakovic & Ludwik Leibler, 2008. "Self-healing and thermoreversible rubber from supramolecular assembly," Nature, Nature, vol. 451(7181), pages 977-980, February.
    3. S. R. White & N. R. Sottos & P. H. Geubelle & J. S. Moore & M. R. Kessler & S. R. Sriram & E. N. Brown & S. Viswanathan, 2001. "Autonomic healing of polymer composites," Nature, Nature, vol. 409(6822), pages 794-797, February.
    4. Darren J. Baker & Bennett G. Childs & Matej Durik & Melinde E. Wijers & Cynthia J. Sieben & Jian Zhong & Rachel A. Saltness & Karthik B. Jeganathan & Grace Casaclang Verzosa & Abdulmohammad Pezeshki &, 2016. "Naturally occurring p16Ink4a-positive cells shorten healthy lifespan," Nature, Nature, vol. 530(7589), pages 184-189, February.
    5. Dementsov, Alexander & Privman, Vladimir, 2007. "Percolation modeling of conductance of self-healing composites," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 385(2), pages 543-550.
    6. Darren J. Baker & Tobias Wijshake & Tamar Tchkonia & Nathan K. LeBrasseur & Bennett G. Childs & Bart van de Sluis & James L. Kirkland & Jan M. van Deursen, 2011. "Clearance of p16Ink4a-positive senescent cells delays ageing-associated disorders," Nature, Nature, vol. 479(7372), pages 232-236, November.
    7. Marcus E. Peter, 2011. "Apoptosis meets necrosis," Nature, Nature, vol. 471(7338), pages 310-312, March.
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    Cited by:

    1. Soltani, Ali & Sadeghnejad, Saeid, 2018. "Scaling and critical behavior of lattice and continuum porous media with different connectivity configurations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 376-389.

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