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Mechanoregulated trabecular bone adaptation: progress report on in silico approaches

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posted on 2022-08-12, 10:44 authored by Ekaterina SmotrovaEkaterina Smotrova, Simin LiSimin Li, Vadim SilberschmidtVadim Silberschmidt

Adaptation is the process by which bone responds to changes in loading environment and modulates its properties and spatial organization to meet the mechanical demands. Adaptation in trabecular bone is achieved through increase in bone mass and alignment of trabecular-bone morphology along the loading direction. This transformation of internal microstructure is governed by mechanical stimuli sensed by mechanosensory cells in the bone matrix. Realisation of adaptation in the form of local bone-resorption and -formation activities as a function of mechanical stimuli is still debated. In silico modelling is a useful tool for simulation of various scenarios that cannot be investigated in vivo and particularly well suited for prediction of trabecular bone adaptation. This progress report presents the recent advances in in silico modelling of mechanoregulated adaptation at the scale of trabecular bone tissue. Four well-established bone-adaptation models are reviewed in terms of their recent improvements and validation. They consider various mechanical factors: (i) strain energy density, (ii) strain and damage, (iii) stress nonuniformity and (iv) daily stress. Contradictions of these models are discussed and their ability to describe adequately a real-life mechanoregulation process in bone is compared. 

Funding

Government of the Russian Federation, 075-15-2021-578

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Biomaterials and Biosystems

Volume

7

Issue

2022

Publisher

Elsevier

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by Elsevier under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

2022-07-14

Publication date

2022-07-21

Copyright date

2022

ISSN

2666-5344

Language

  • en

Depositor

Dr Simin Li. Deposit date: 25 July 2022

Article number

100058

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