A Method to Study the Correlation Between Local Collagen Structure and Mechanical Properties of Atherosclerotic Plaque Fibrous Tissue

Journal Article (2022)
Author(s)

Hanneke Crielaard (Erasmus MC)

Su Guvenir Torun (Erasmus MC)

Tamar B. Wissing (Erasmus MC, Eindhoven University of Technology)

Pablo de Miguel Muñoz (Erasmus MC, Student TU Delft)

Gert Jan Kremers (Erasmus MC)

Frank J.H. Gijsen (Erasmus MC, TU Delft - Medical Instruments & Bio-Inspired Technology)

Kim Van Der Heiden (Eindhoven University of Technology, Erasmus MC)

Ali C. Akyildiz (Erasmus MC, TU Delft - Medical Instruments & Bio-Inspired Technology)

DOI related publication
https://doi.org/10.3791/64334 Final published version
More Info
expand_more
Publication Year
2022
Language
English
Issue number
189
Volume number
2022
Article number
e64334
Downloads counter
539
Collections
Institutional Repository
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

The rupture of atherosclerotic plaques in coronary and carotid arteries is the primary cause of fatal cardiovascular events. However, the rupture mechanics of the heterogeneous, highly collagenous plaque tissue, and how this is related to the tissue's fibrous structure, are not known yet. Existing pipelines to study plaque mechanics are limited to obtaining only gross mechanical characteristics of the plaque tissue, based on the assumption of structural homogeneity of the tissue. However, fibrous plaque tissue is structurally heterogeneous, arguably mainly due to local variation in the collagen fiber architecture. The mechano-imaging pipeline described here has been developed to study the heterogeneous structural and mechanical plaque properties. In this pipeline, the tissue's local collagen architecture is characterized using multiphoton microscopy (MPM) with second-harmonic generation (SHG), and the tissue's failure behavior is characterized under uniaxial tensile testing conditions using digital image correlation (DIC) analysis. This experimental pipeline enables correlation of the local predominant angle and dispersion of collagen fiber orientation, the rupture behavior, and the strain fingerprints of the fibrous plaque tissue. The obtained knowledge is key to better understand, predict, and prevent atherosclerotic plaque rupture events.