Simulating big mechanically-active culture systems (BigMACS) using paired biomechanics-histology FEA modelling to derive mechanobiology design relationships

Journal Article (2025)
Author(s)

Sabrina Schoenborn (University of Queensland, Queensland University of Technology)

Mingyang Yuan (Queensland University of Technology, University of Queensland)

Cody A. Fell (Queensland University of Technology)

Chuanhai Liu (Chinese University of Hong Kong, Center for Neuromusculoskeletal Restorative Medicine)

David F. Fletcher (University of Sydney)

Selene Priola (TU Delft - Mechanical Engineering)

Hon Fai Chan (Center for Neuromusculoskeletal Restorative Medicine, Chinese University of Hong Kong)

Mia Woodruff (Queensland University of Technology)

Zhiyong Li (Queensland University of Technology)

Yi Chin Toh (Queensland University of Technology)

Mark C. Allenby (Queensland University of Technology, University of Queensland)

Research Group
Medical Instruments & Bio-Inspired Technology
DOI related publication
https://doi.org/10.1088/1758-5090/adcd9f Final published version
More Info
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Publication Year
2025
Language
English
Research Group
Medical Instruments & Bio-Inspired Technology
Journal title
Biofabrication
Issue number
3
Volume number
17
Article number
035006
Downloads counter
233
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Abstract

Big mechanically-active culture systems (BigMACS) are promising to stimulate, control, and pattern cell and tissue behaviours with less soluble factor requirements. However, it remains challenging to predict if and how distributed mechanical forces impact single-cell behaviours to pattern tissue. In this study, we introduce a tissue-scale finite element analysis framework able to correlate sub-cellular quantitative histology with centimetre-scale biomechanics. Our framework is relevant to diverse BigMACS, including media perfusion, tensile-stress, magnetic, and pneumatic tissue culture platforms. We apply our framework to understand how the design and operation of a multi-axial soft robotic bioreactor can spatially control mesenchymal stem cell (MSC) proliferation, orientation, differentiation to smooth muscle, and extracellular vascular matrix deposition. We find MSC proliferation and matrix deposition to positively correlate with mechanical stimulation but cannot be locally patterned by soft robot mechanical stimulation within a centimetre scale tissue. In contrast, local stress distribution was able to locally pattern MSC orientation and differentiation to smooth muscle phenotypes, where MSCs aligned perpendicular to principal stress direction and expressed increased α-SMA with increasing 3D Von Mises Stresses from 0 to 15 kPa. Altogether, our new biomechanical-histological simulation framework is a promising technique to derive the future mechanical design equations to control cell behaviours and engineer patterned tissue.