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Updated: Dec 30, 2025

Assay of Adhesion Under Shear Stress for the Study of T Lymphocyte-Adhesion Molecule Interactions
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Mechanical Model for Catch-Bond-Mediated Cell Adhesion in Shear Flow.

Long Li1,2, Wei Kang1, Jizeng Wang1

  • 1Key Laboratory of Mechanics on Disaster and Environment in Western China, Ministry of Education, College of Civil Engineering and Mechanics, Lanzhou University, Lanzhou 730000, China.

International Journal of Molecular Sciences
|January 23, 2020
PubMed
Summary

Cell adhesion via catch bonds under shear flow is explained by a new model. This model shows flow-enhanced stability arises from bond kinetics and cell dynamics, not just bond lifetime extension.

Keywords:
Markovian processbistabilitycatch bondflow-enhanced adhesionrolling adhesionshear rate

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Area of Science:

  • Biophysics
  • Cellular Mechanics
  • Adhesion Dynamics

Background:

  • Catch bonds, which strengthen under tension, mediate cell rolling adhesion in fluid environments.
  • The precise mechanical mechanisms of catch bond-mediated cell rolling under shear flow remain unclear.

Purpose of the Study:

  • To develop a mechanical model for catch bond-mediated cell adhesion in shear flow.
  • To elucidate the kinetic and dynamic factors governing cell rolling under hydrodynamic forces.

Main Methods:

  • A Markovian process model for bond dynamics (formation/dissociation).
  • Classical analytical mechanics for cell motion.
  • Monte Carlo simulations for theoretical prediction verification.

Main Results:

  • Cellular steady state is highly dependent on shear flow rate.
  • Identified critical shear rates for cell attachment and detachment.
  • Observed flow-enhanced adhesion where slower, regular cell rolling occurs with increased shear rates.
  • Demonstrated flow-enhanced stability results from a balance between bond stochasticity and cell dynamics.

Conclusions:

  • The study challenges the traditional view that force-induced lifetime extension is the sole driver of flow-enhanced adhesion.
  • Highlights the interplay between stochastic bond reactions and cell rolling dynamics.
  • Predicts flow loading history influences adhesion bistability, aligning with experimental findings.