0411 Computational mechanobiology of musculoskeletal tissues

  • Pascal Buenzli, Queensland University Of Technology (QUT)
  • Junning Chen, University of Exeter
  • Hanna Isaksson, Lund University
  • Richard Weinkamer, Max Planck Institute of Colloids and Interfaces

Bone, teeth, cartilage, tendons, and ligaments have a unique mechanical function in the body. How well these tissues perform and how well they accommodate their mechanical requirements depends on their morphology and hierarchical structure, as well as their material properties. Shape adaptation, remodelling, damage repair and mineralization are key dynamic biological processes that enable these musculoskeletal tissues to resist failure during our lifetime, despite being ‘under-engineered’ compared to static engineering structures sustaining equivalent repeated loadings. The adaptation and repair of the structure and of the material properties of these tissues depend crucially on mechanosensation and mechanotransduction, i.e., the ability to sense mechanical states and to generate biological responses. Several computational models, experiments, and tissue engineering scaffolds were developed in recent years to shed light on these mechano-regulated processes.

The objective of this minisymposium is to bring together the expertise of established and emerging researchers investigating the complex mechanobiological interplays at stake in musculoskeletal tissues, including mineralised tissues (bone, teeth) and soft tissues (cartilage, tendon and ligament), particularly in the context of clinical and biomedical applications such as orthopaedic prostheses, prosthetic dentistry, implantology, bioscaffold design, and tendon repair. The minisymposium aims to share and transcend the different computational approaches (e.g., phenomenological models, cell-based models, multiscale approaches), the results that can be obtained with them, and the biological insights that they can provide, both in terms of data analysis and interpretation, and in terms of predicting time evolutions in health and disease. A specific focus will be on the integration of novel experimental data in computer models, collected e.g. using high-resolution micro-computed tomography, electron microscopy, polarisation-dependent second harmonic generation, DualBeam (FIB/SEM) systems, bone chamber models, bioreactors, and scaffolds.

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