<i>In silico</i>biology of bone modelling and remodelling: regeneration

Geris, Liesbet; Sloten, J. Vander; Oosterwyck, Hans Van

doi:10.1098/rsta.2008.0293

Cited by 59 publications

(45 citation statements)

References 93 publications

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“…However, these PDE models are not capable of simulating processes of a cellular scale. We finally remark that some reviews on PDE modeling of biological processes were written by Geris et al (2010), Geris et al (2009), Baker et al (2008), Murray (2004), where both mechanical balances and transport through random walk, tenso-taxis and chemo-taxis were taken into account.…”

Section: Introductionmentioning

confidence: 99%

A phenomenological model for chemico-mechanically induced cell shape changes during migration and cell–cell contacts

Vermolen

Gefen

2012

Biomech Model Mechanobiol

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A phenomenological model for the evolution of shape transition of cells is considered. These transitions are determined by the emission of growth-factors, as well as mechanical interaction if cells are subjected to hard impingement. The originality of this model necessitates a formal treatment of the mathematical model, as well as the presentation of elementary cases in order to illustrate the consistence of the model. We will also show some small-scale relevant applications.

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Section: Introductionmentioning

confidence: 99%

A phenomenological model for chemico-mechanically induced cell shape changes during migration and cell–cell contacts

Vermolen

Gefen

2012

Biomech Model Mechanobiol

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“…Several works have reviewed the processes of tissue differentiation and adaptation in musculoskeletal tissues from different perspectives [16]- [18]. However, to the knowledge of the author, the literature that reviews their mathematical fundamentals and implementation is scarce.…”

Section: Introductionmentioning

confidence: 99%

Theories of mechanically induced tissue differentiation and adaptation in the musculoskeletal system

Suárez

2015

I&U

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<p>It is well known that the mechanical environment affects biological tissues. The importance of theories and models that aim at explaining the role of the mechanical stimuli in process such as differentiation and adaptation of tissues is highlighted because if those theories can explain the tissue’s response to mechanical loading and to its environment, it becomes possible to predict the consequences of mechanical stimuli on growth, adaptation and ageing of tissues. This review aims to present an overview of the various theories and models on tissue differentiation and adaptation of tissues and their mathematical implementation.</p>Although current models are numerically well defined and are able to resemble the tissue differentiation and adaptation processes, they are limited by (1) the fact that some of their input parameters are likely to be site- and species-dependent, and (2) their verification is done by data that may make the model results redundant. However, some theories do have predictive power despite the limitations of generalization. It seems to be a matter of time until new experiments and models appear with predictive power and where rigorous verification can be performed.

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“…Models situated at the tissue level tend to represent cells, extracellular matrix and growth factors by concentrations or densities (in weight of growth factors per volume or amount of cells per volume). A large body of literature exists describing the use of tissue level in silico models for simulation of bone biology and regeneration as reviewed in [13][14][15]. Typically, these models focus on a specific aspect of the fracture healing process such as mechanical loading, soluble growth factors or angiogenesis.…”

Section: Classification Of In Silico Models By Length Scales and Infomentioning

confidence: 99%

Regenerative orthopaedics: in vitro, in vivo … in silico

Geris

2014

International Orthopaedics (SICOT)

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In silico, defined in analogy to in vitro and in vivo as those studies that are performed on a computer, is an essential step in problem solving and product development in classical engineering fields. The use of in silico models is now slowly easing its way into medicine. In silico models are already used in orthopaedics for the planning of complicated surgeries, personalised implant design and the analysis of gait measurements. However, these in silico models often lack the simulation of the response of the biological system over time. In silico models focusing on the response of the biological systems are in full development. This review starts with an introduction into in silico models of orthopaedic processes. Special attention is paid to the classification of models according to their spatiotemporal scale (gene/protein to population) and the information they were built on (data vs hypotheses). Subsequently, the review focusses on the in silico models used in regenerative orthopaedics research. Contributions of in silico models to an enhanced understanding and optimisation of four key elements -cells, carriers, culture and clinics -are illustrated. Finally, a number of challenges are identified, related to the computational aspects but also to the integration of in silico tools in clinical practice.

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In silicobiology of bone modelling and remodelling: regeneration

Cited by 59 publications

References 93 publications

A phenomenological model for chemico-mechanically induced cell shape changes during migration and cell–cell contacts

A phenomenological model for chemico-mechanically induced cell shape changes during migration and cell–cell contacts

Theories of mechanically induced tissue differentiation and adaptation in the musculoskeletal system

Regenerative orthopaedics: in vitro, in vivo … in silico

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