Literature DB >> 16586509

Analysis of cell growth and diffusion in a scaffold for cartilage tissue engineering.

C A Chung1, C W Yang, C W Chen.   

Abstract

Developments in tissue engineering over the past decade have offered promising future for the repair and reconstruction of damaged tissues. To regenerate three dimensional and weight-bearing implants, advances in biomaterials and manufacturing technologies prompted cell cultivations with natural or artificial scaffolds, in which cells are allowed to proliferate, migrate, and differentiate in vitro. In this article, we develop a mathematical model for cell growth in a porous scaffold. By treating the cell-scaffold construct as a porous medium, a continuum model is set up based on basic principles of mass conservation. In addition to cell growth kinetics, we incorporate cell diffusion in the model to describe the effects of cell random walks. Computational results are compared to experimental data found in the literature. With this model, we are able to investigate cell motility, heterogeneous cell distributions, and non-uniform seeding for tissue engineering applications. Results show that random walks tend to enhance uniform cell spreads in space, which in turn increases the probabilities for cells to acquire nutrients; therefore random walks are likely to be a positive contribution to the overall cell growth on scaffolds. Copyright 2006 Wiley Periodicals, Inc.

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Year:  2006        PMID: 16586509     DOI: 10.1002/bit.20944

Source DB:  PubMed          Journal:  Biotechnol Bioeng        ISSN: 0006-3592            Impact factor:   4.530


  14 in total

1.  Computational study of culture conditions and nutrient supply in a hollow membrane sheet bioreactor for large-scale bone tissue engineering.

Authors:  Ramin Khademi; Davod Mohebbi-Kalhori; Afra Hadjizadeh
Journal:  J Artif Organs       Date:  2014-03       Impact factor: 1.731

2.  A 3D hybrid model for tissue growth: the interplay between cell population and mass transport dynamics.

Authors:  Gang Cheng; Pauline Markenscoff; Kyriacos Zygourakis
Journal:  Biophys J       Date:  2009-07-22       Impact factor: 4.033

3.  Biomimetic three-dimensional microenvironment for controlling stem cell fate.

Authors:  Hu Zhang; Sheng Dai; Jingxiu Bi; Kuo-Kang Liu
Journal:  Interface Focus       Date:  2011-07-27       Impact factor: 3.906

4.  Mass transfer trends occurring in engineered ex vivo tissue scaffolds.

Authors:  Marc Moore; Malisa Sarntinoranont; Peter McFetridge
Journal:  J Biomed Mater Res A       Date:  2012-05-24       Impact factor: 4.396

Review 5.  Applications of Computer Modeling and Simulation in Cartilage Tissue Engineering.

Authors:  Daniel Pearce; Sarah Fischer; Fatama Huda; Ali Vahdati
Journal:  Tissue Eng Regen Med       Date:  2019-10-05       Impact factor: 4.169

6.  Mathematical modelling of glycosaminoglycan production by stem cell aggregates incorporated with growth factor-releasing polymer microspheres.

Authors:  Andrew S Fu; Loran D Solorio; Eben Alsberg; Gerald M Saidel
Journal:  J Tissue Eng Regen Med       Date:  2014-07-22       Impact factor: 3.963

7.  A comparative study of oxygen diffusion in tissue engineering scaffolds.

Authors:  T Fiedler; I V Belova; G E Murch; G Poologasundarampillai; J R Jones; J A Roether; A R Boccaccini
Journal:  J Mater Sci Mater Med       Date:  2014-07-14       Impact factor: 3.896

Review 8.  Engineering parameters in bioreactor's design: a critical aspect in tissue engineering.

Authors:  Nasim Salehi-Nik; Ghassem Amoabediny; Behdad Pouran; Hadi Tabesh; Mohammad Ali Shokrgozar; Nooshin Haghighipour; Nahid Khatibi; Fatemeh Anisi; Khosrow Mottaghy; Behrouz Zandieh-Doulabi
Journal:  Biomed Res Int       Date:  2013-08-05       Impact factor: 3.411

9.  Modelling-informed cell-seeded nerve repair construct designs for treating peripheral nerve injuries.

Authors:  Rachel Coy; Maxime Berg; James B Phillips; Rebecca J Shipley
Journal:  PLoS Comput Biol       Date:  2021-07-08       Impact factor: 4.475

10.  A multi-paradigm modeling framework to simulate dynamic reciprocity in a bioreactor.

Authors:  Himanshu Kaul; Zhanfeng Cui; Yiannis Ventikos
Journal:  PLoS One       Date:  2013-03-29       Impact factor: 3.240

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