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In vitro characterization of endothelial damage from rapid multiaxial mechanical loading.

R Jakob1, M Narciso2, Y Choi1

  • 1ETH Zurich, Institute for Mechanical Systems, Zurich, CH-8092, Switzerland.

Acta Biomaterialia
|October 8, 2025
PubMed
Summary

Equibiaxial stretching causes more endothelial cell damage than other types, impacting vascular health. Strain energy density predicts this damage, aiding in optimizing clinical procedures to prevent injury.

Keywords:
Angioplasty and stentingDiscrete network modelEndothelial damageMultiaxial stretch

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Area of Science:

  • Biotechnology and Biomedical Engineering
  • Cellular and Molecular Biology
  • Cardiovascular Research

Background:

  • Endothelial cells form a vital monolayer regulating blood transport.
  • Vascular interventions like angioplasty induce mechanical stress, causing endothelial damage.
  • This damage contributes to complications such as neointimal hyperplasia and restenosis.

Purpose of the Study:

  • To investigate endothelial monolayer damage under various in vitro mechanical loading conditions.
  • To develop a computational model predicting endothelial damage based on mechanical stimuli.
  • To identify key metrics for assessing and mitigating iatrogenic endothelial injury.

Main Methods:

  • Endothelial cells cultured into confluent monolayers on elastomer substrates.
  • A novel bi-stable device used for uniaxial, strip-biaxial, and equibiaxial stretching.
  • Quantification of endothelial damage via relative void area and development of a discrete network model.

Main Results:

  • Equibiaxial stretching resulted in significantly higher endothelial damage compared to uniaxial or strip-biaxial states.
  • The discrete network model successfully rationalized experimental observations.
  • Strain energy density was identified as a predictive measure for endothelial damage across various kinematic states.

Conclusions:

  • Mechanical loading conditions significantly influence endothelial cell damage.
  • Strain energy density offers a predictive criterion for endothelial denudation risk.
  • Findings provide a framework for optimizing clinical procedures to minimize iatrogenic injury and improve vascular health.