Computational modelling of cell spreading and tissue regeneration in porous scaffolds

Sengers, Bram G.; Taylor, Mark; Please, Colin P.; Oreffo, Richard O.C.

doi:10.1016/j.biomaterials.2006.12.008

Cited by 140 publications

(92 citation statements)

References 142 publications

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“…Rejniak and Anderson derived a plausible set of rules and conditions, including oriented cell division, differentiation, polarization and apoptosis, by which single cells can develop into well-organized acinar structures. Aiming to get a better control over the mechanical properties of tissue-engineered cartilage, Sengers and coworkers [46,47] computationally assessed extracellular matrix (ECM) deposition by chondrocytes ( Figure 1B,E). In a continuous interaction between cell culture and agent-based computational modeling work, the Epitheliome project (see e.g.…”

Section: Introductionmentioning

confidence: 99%

Modeling Morphogenesisin silicoandin vitro: Towards Quantitative, Predictive, Cell-based Modeling

Merks

Koolwijk

2009

Math. Model. Nat. Phenom.

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Abstract. Cell-based, mathematical models help make sense of morphogenesis-i.e. cells organizing into shape and pattern-by capturing cell behavior in simple, purely descriptive models. Cell-based models then predict the tissue-level patterns the cells produce collectively. The first step in a cell-based modeling approach is to isolate sub-processes, e.g. the patterning capabilities of one or a few cell types in cell cultures. Cell-based models can then identify the mechanisms responsible for patterning in vitro. This review discusses two cell culture models of morphogenesis that have been studied using this combined experimental-mathematical approach: chondrogenesis (cartilage patterning) and vasculogenesis (de novo blood vessel growth). In both these systems, radically different models can equally plausibly explain the in vitro patterns. Quantitative descriptions of cell behavior would help choose between alternative models. We will briefly review the experimental methodology (microfluidics technology and traction force microscopy) used to measure responses of individual cells to their micro-environment, including chemical gradients, physical forces and neighboring cells. We conclude by discussing how to include quantitative cell descriptions into a cell-based model: the Cellular Potts model.

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Section: Introductionmentioning

confidence: 99%

Modeling Morphogenesisin silicoandin vitro: Towards Quantitative, Predictive, Cell-based Modeling

Merks

Koolwijk

2009

Math. Model. Nat. Phenom.

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“…Currently the most pursued application is perhaps in tissue engineering to recreate or improve native tissue function using degradable scaffolds [5]. PGA, PLA and their copolymers are certainly not materials easy to work with.…”

Section: Introductionmentioning

confidence: 99%

“…However the interplay between crystallisation and biodegradation was not considered in the previous work. The current paper completes the model by incorporating 5 crystallisation into the diffusion-reaction equations. During biodegradation the chain scissions provide the extra mobility for the polymer chains to crystallise.…”

Section: Introductionmentioning

confidence: 99%

“…Instead, these equations are solved numerically. The model is then applied to three different biodegradable polymers including poly(glycolide-co-L-lactide), poly(L-lactide), and blends of poly(L-lactide) and poly(vinyl alcohol), for which complete biodegradation data are available in the literature [3][4][5]. Finally parametric studies are carried out using the model to demonstrate the effects of crystallisation rate on the degradation rate and on the biodegradation map.…”

Section: Introductionmentioning

confidence: 99%

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A model for simultaneous crystallisation and biodegradation of biodegradable polymers

2009

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Biomaterials 2008;29:3393-3401). Crystallisation during biodegradation was not considered in the previous work which is the topic of the current paper. For many commonly used biodegradable polymers, there is a strong interplay between crystallisation and hydrolysis reaction during biodegradation -the chain cleavage caused by the hydrolysis reaction provides an extra mobility for the polymer chains to crystallise and the resulting crystalline phase becomes more resistant to further hydrolysis reaction. This paper presents a complete theory to describe this interplay.The fundamental equations in the Avrami's theory for crystallisation are modified and coupled to the diffusion-reaction equations that were developed in our previous work.The mathematical equations are then applied to three biodegradable polymers for which long term degradation data are available in the literature. It is shown that the model can capture the behaviour of the major biodegradable polymers very well.

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“…O material deve ser biocompatível, bioreabsorvível cujos produtos da dissolução sejam metabolizados pelo organismo, osteocondutor e, de preferência osteoindutor [5]. Quanto à arquitetura, um scaffold deve ser tridimensional e altamente poroso com uma rede de poros interconectados para crescimento celular/tecidual e transporte de nutrientes e resíduos metabólicos [6].…”

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Desenvolvimento de biocerâmicas porosas de hidroxiapatita para utilização como scaffolds para regeneração óssea

Fook

Aparecida²,

Fook

2010

Matéria (Rio J.)

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Biocerâmicas porosas tem aplicações biomédicas importantes como preenchimento de defeitos ósseos e scaffolds na engenharia de tecidos. A hidroxiapatita (HA, Ca10(PO4)6(OH)2) que apresenta semelhança química e estrutural com a fase mineral dos ossos e dos dentes, é biocompatível e osteocondutiva, e tem excelente afinidade química e biológica com os tecidos ósseos. Este trabalho teve como objetivo desenvolver biocerâmicas porosas HA para utilização como scaffold para regeneração óssea empregando-se a técnica de réplica da esponja polimérica. A pasta biocerâmica de HA foi obtida por via úmida utilizando hidróxido de cálcio [Ca(OH)2] e ácido fosfórico (H3PO4) e impregnada em esponjas de poliuretano com diferentes densidades. Tratamento térmico a 600°C por 1h foi realizado para eliminação da esponja seguido da sinterização a 1100°C por 2 horas. Os scaffolds apresentaram a HA como fase majoritária, elevada porosidade (> 70%) e poros com tamanhos variando na ordem de macro (>100μm) e microporosidade (1-20μm), sendo estes fatores adequados para a aplicação como scaffolds para regeneração óssea.

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Computational modelling of cell spreading and tissue regeneration in porous scaffolds

Cited by 140 publications

References 142 publications

Modeling Morphogenesisin silicoandin vitro: Towards Quantitative, Predictive, Cell-based Modeling

Modeling Morphogenesisin silicoandin vitro: Towards Quantitative, Predictive, Cell-based Modeling

A model for simultaneous crystallisation and biodegradation of biodegradable polymers

Desenvolvimento de biocerâmicas porosas de hidroxiapatita para utilização como scaffolds para regeneração óssea

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