Using stochastic thermodynamics with internal variables to capture orientational spreading in cell populations undergoing cyclic stretch

TL;DR

This paper introduces a stochastic thermodynamics-based model with internal variables to better understand and predict the orientation dynamics and spreading phenomena in cell populations subjected to cyclic stretch, revealing a novel two-stage reorientation process.

Contribution

The paper reformulates existing cell orientation models using stochastic thermodynamics with internal variables, capturing orientation spreading and predicting a new two-stage reorientation phenomenon.

Findings

Model predicts orientation spreading before concentration at energy minima.

Reformulation captures both orientation distribution evolution and spreading.

Suggests a new experiment to validate the two-stage reorientation phenomenon.

Abstract

We revisit the modeling framework introduced in [N. Loy and L. Preziosi: Bull. Math. Bio., 85, 2023] to describe the dynamics of cell orientation under cyclic stretch. We propose a reformulation based on the principles of Stochastic Thermodynamics with Internal Variables introduced in [T. Leadbetter, P. Purohit, and C. Reina: PNAS Nexus, 2, 2023]. This approach allows us to describe not only the evolution of the orientation distribution, but also the observed spreading phenomenon. The insight provided by our model reveals an interesting phenomenon, which we call two-stage reorientation: when cells begin aligned with an energy maximum, their orientations spread before concentrating at the energy minimum. This theoretical prediction suggests a new experiment to test this modeling framework.