Architecture-Dependent Anisotropic Hysteresis in Smooth Muscle Cells

Zaw Win, Justin M. Buksa, Patrick W. Alford

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Cells within mechanically dynamic tissues like arteries are exposed to ever-changing forces and deformations. In some pathologies, like aneurysms, complex loads may alter how cells transduce forces, driving maladaptive growth and remodeling. Here, we aimed to determine the dynamic mechanical properties of vascular smooth muscle cells (VSMCs) under biaxial load. Using cellular micro-biaxial stretching microscopy, we measured the large-strain anisotropic stress-strain hysteresis of VSMCs and found that hysteresis is strongly dependent on load orientation and actin organization. Most notably, under some cyclic loads, we found that VSMCs with elongated in-vivo-like architectures display a hysteresis loop that is reverse to what is traditionally measured in polymers, with unloading stresses greater than loading stresses. This reverse hysteresis could not be replicated using a quasilinear viscoelasticity model, but we developed a Hill-type active fiber model that can describe the experimentally observed hysteresis. These results suggest that cells in highly organized tissues, like arteries, can have strongly anisotropic responses to complex loads, which could have important implications in understanding pathological mechanotransduction.

Original languageEnglish (US)
Pages (from-to)2044-2054
Number of pages11
JournalBiophysical journal
Volume115
Issue number10
DOIs
StatePublished - Nov 20 2018

Bibliographical note

Funding Information:
We acknowledge financial support from the US National Science Foundation ( CMMI 1553255 (P.W.A.)), American Heart Association ( 13SDG14670062 (P.W.A); 16PRE27770112 (Z.W.)), and the University of Minnesota Doctoral Dissertation Fellowship (Z.W.). Parts of this work were carried out in the University Imaging Centers at the University of Minnesota and the Minnesota Nano Center, which receives partial support from the US National Science Foundation through the National Nanotechnology Infrastructure Network program.

Funding Information:
We acknowledge financial support from the US National Science Foundation (CMMI 1553255 (P.W.A.)), American Heart Association (13SDG14670062 (P.W.A); 16PRE27770112 (Z.W.)), and the University of Minnesota Doctoral Dissertation Fellowship (Z.W.). Parts of this work were carried out in the University Imaging Centers at the University of Minnesota and the Minnesota Nano Center, which receives partial support from the US National Science Foundation through the National Nanotechnology Infrastructure Network program.

Publisher Copyright:
© 2018 Biophysical Society

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