Lattice Percolation Approach to Numerical Modeling of Tissue Aging

TL;DR

This paper introduces a lattice percolation model to simulate tissue aging, capturing cellular interactions and dynamics, and demonstrates that inhibiting senescence may extend lifespan, aligning with experimental observations.

Contribution

It presents a novel percolation-based modeling framework for tissue aging, integrating cellular processes and providing insights into lifespan extension strategies.

Findings

Inhibition of senescence can extend tissue lifespan.

The model reproduces observed tissue aging patterns.

Cellular interactions influence tissue longevity.

Abstract

We describe a percolation-type approach to modeling of the processes of aging and certain other properties of tissues analyzed as systems consisting of interacting cells. Tissues are considered as structures made of regular healthy, senescent, dead (apoptotic) cells, and studied dynamically, with the ongoing processes including regular cell division to fill vacant sites left by dead cells, healthy cells becoming senescent or dying, and other processes. Statistical-mechanics description can provide patterns of time dependence and snapshots of morphological system properties. An illustrative application of the developed theoretical modeling approach is reported, confirming recent experimental findings that inhibition of senescence can lead to extended lifespan.