Skip to main content

Computational techniques for selection of biomaterial scaffolds for tissue engineering

  • Chapter
  • First Online:
Book cover Advances on Modeling in Tissue Engineering

Part of the book series: Computational Methods in Applied Sciences ((COMPUTMETHODS,volume 20))

Abstract

Computational tools are nowadays an indispensable tool for engineering design. Tissue engineering is an interdisciplinary field which so far has been mainly limited to experimental investigations. Here we present several examples of how computer models can be used in the design of tissue engineering scaffolds. Investigations of the effect of scaffold porosity, dissolution rate and/or scaffold material properties on processes such as cell differentiation, migration and angio genesis are presented. Current limitations and future perspectives in the develop ment and potential application of these models are described.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Langer R, Vacanti JP (1993) Tissue engineering. Science; 260: 920–6.

    Article  Google Scholar 

  2. Green WT Jr. (1977). Articular cartilage repair. Behavior of rabbit chondrocytes during tissue culture and subsequent allografting. Clin Orthop Relat Res; 124: 237–50.

    Google Scholar 

  3. Vacanti JP (2006). History of Tissue Engineering and a glimpse into its future. Tissue Engineering, 12, 1137–1142.

    Article  Google Scholar 

  4. Howard D, Buttery LD, Shakesheff KM, Roberts SJ (2008) Tissue engineering: strategies, stem cells and scaffolds. Journal of Anatomy, 213, 66–72.

    Article  Google Scholar 

  5. Hutmacher DW, Schantz JT, Lamm CX, Tanm KC, Lim TC (2007) State of the art and future directions of scaffold-based bone engineering from a biomaterials perspective. J Tissue Eng Regen Med., 1(4), 245–60.

    Article  Google Scholar 

  6. Martin I, Wendt D, Heberer M (2004) The role of bioreactors in tissue engineering. Trends Biotechnol, 22, 80–86

    Article  Google Scholar 

  7. Pauwels F (1973) Atlas zur Biomechanik der gesunden und kranken Hüfte. Ed. 1 Berlin, Heidelberg, New York, Springer Verlag

    Google Scholar 

  8. Prendergast PJ, Checa S, Lacroix D (2009) Computational models for tissue differentiation. In: Computational Methods in Biomechanics, (Editors: Suvranu De, Farsh Guilak, Mohammad Mofrad), Springer: New York, In Press

    Google Scholar 

  9. Claes LE, Heigele CA (1999) Magnitudes of local stress and strain along bony surfaces predict the course and type of fracture healing. Journal of Biomechanics 32, 255–266

    Article  Google Scholar 

  10. Prendergast PJ, Huiskes R, Søballe K (1997) ESB Research Award 1996. Biophysical stimuli on cells during tissue differentiation at implant interfaces. Journal of Biomechanics 30, 539–548

    Article  Google Scholar 

  11. Loboa EG, Beaupré GS, Carter DR, (2001). Mechanobiology of initial pseudarthrosis formation with oblique fractures. Journal of Orthopaedic Research, 19(6): 1067–1072

    Article  Google Scholar 

  12. Andreykiev A, van Keulen F, Prendergast PJ (2008) Simulation of fracture healing incorporating mechanoregulation of tissue differentiation and dispersal/proliferation of cells, Biomechanics and Modeling in Mechanobiology 7, 443–461

    Article  Google Scholar 

  13. Geris L, Gerisch A, Vander Sloten J, Weiner R, Oosterwyck HV (2008) Angiogenesis in bone fracture healing: a bioregulatory model. J. Theor. Biol. 7, 137–158.

    Article  Google Scholar 

  14. Hayward LNM, Morgan EF (2009) Assessment of a mechano-regulation theory of skeletal tissue differentiation in an in vivo model of mechanically induced cartilage formation. Biomechanics and Modeling in Mechanobiology. DOI 10.1007/s10237-009-0148-3

    Google Scholar 

  15. Isaksson H, Wilson W, van Donkelaar CC, Huiskes R, Ito K (2006) Comparison of biophysical stimuli for mechano-regulation of tissue differentiation during fracture healing. J. Biomech. 39, 1507–1516

    Article  Google Scholar 

  16. Lacroix D, Prendergast PJ (2002) Three-dimensional simulation of fracture repair in the human tibia, Computer Methods in Biomechanics and Biomedical Engineering 5, 369–376

    Article  Google Scholar 

  17. Andreykiv A, van Keulen F, Prendergast PJ (2008) Computational mechanobiology to study the effect of surface geometry on peri-implant tissue differentiation. Journal of Biomechanical Engineering 130, Paper No 051015

    Google Scholar 

  18. Checa S, Prendergast PJ (2009) A mechanobiological model for tissue differentiation that includes angiogenesis: a lattice-based modeling approach. Ann. Biomed. Eng. 37, 129–145

    Article  Google Scholar 

  19. Huiskes R, van Driel WD, Prendergast PJ, Soballe K (1997) A biomechanical regulatory model of peri-prosthetic tissue differentiation. J. Mater. Sci. Mater. Med. 8, 785–788.

    Article  Google Scholar 

  20. Liu X, Niebur G (2008). Bone ingrowth into a porous coated implant predicted by a mechano-regulatory tissue differentiation algorithm. Biomechanics and Modeling in Mechanobiology, 7(4): 335–344

    Article  Google Scholar 

  21. Perez MA, Prendergast PJ (2007) Random-walk models of cell dispersal included in mechanobiological simulations of tissue differentiation. J. Biomech. 40, 2244–225

    Article  Google Scholar 

  22. Prendergast P, Huiskes R, (1996) Finite element analysis of fibrous tissue morphogenesis: a study of the 'osteogenic index' using a biphasic approach, Mechanics of Composite Materials 32, 209–218

    Article  Google Scholar 

  23. Boccaccio, A., Pappalettere, C., Kelly, D. J. (2007) The influence of expansion rates on mandibular distraction osteogenesis: a computational analysis, Annals of Biomedical Engineering 35, 1940–60.

    Article  Google Scholar 

  24. Boccaccio A, Prendergast PJ, Pappalettere C, Kelly DJ (2008) Tissue differentiation and bone regeneration in an osteotomized mandible: a computational analysis of the latency period, Medical and Biological Engineering and Computing 46, 283–298.

    Article  Google Scholar 

  25. Isaksson H, Comas O, van Donkelaar CC, Mediavilla J, Wilson W, Huiskes R, Ito K (2007) Bone regeneration during distraction osteogenesis: mechano-regulation by shear strain and fluid velocity. J. Biomech. 40, 2002–2011.

    Article  Google Scholar 

  26. Geris, L., Vandamme, K., Naert, I., Vander Sloten, J., Duyck, J., Van Oosterwyck H. (2008) Application of mechanoregulatory models to simulate peri-implant tissue formation in an in vivo bone chamber. J. Biomech. 41, 145–154.

    Article  Google Scholar 

  27. Geris L, Andreykiv A, Van Oosterwyck H, Vander Sloten J, van Keulen F, Duyck J, Naert I (2004) Numerical simulation of tissue differentiation around loaded titanium implants in a bone chamber. Journal of Biomechanics 37:763–769

    Article  Google Scholar 

  28. Khayyeri H, Checa S, Tagil M, Prendergast PJ (2009) Corroboration study of mechanobiological simulations of tissue formation in an in vivo bone chamber using a lattice-modeling approach. Journal of Orthopaedic Research. DOI 10.1002/jor.20926

    Google Scholar 

  29. Lacroix D, Château A, Ginebra MP and Planell JA (2006) Micro-finite element models of bone tissue-engineering scaffolds. Biomaterials 27:5326–5334.

    Article  Google Scholar 

  30. Sandino C, Planell JA, Lacroix D (2008) A finite element study of mechanical stimuli in scaffolds for bone tissue engineering. Journal of Biomechanics 41:1005–1014.

    Article  Google Scholar 

  31. Milan JL, Planell JA, Lacroix D (2009). Computational modelling of the mechanical environment of osteogenesis within a polylactic acid–calcium phosphate glass scaffold Biomaterials 30:4219–4226.

    Google Scholar 

  32. Kelly DJ, Prendergast PJ (2005) Mechano-regulation of stem cell differentiation and tissue regeneration in osteochondral defects, Journal of Biomechanics 38, 1413–1422

    Article  Google Scholar 

  33. Bailon-Plaza A, van der Meulen MC (2001) A mathematical framework to study the effects of growth factor influences on fracture healing. J. Theor. Biol. 21, 191–209.

    Article  Google Scholar 

  34. Gomez-Benito MJ, Garcıa-Aznar JM, Kuiper JH, Doblare M (2005) Influence of fracture gap size on the pattern of long bone healing: a computational study. Journal of Theoretical Biology 235 (1), 105–119.

    Article  MathSciNet  Google Scholar 

  35. Kelly DJ, Prendergast PJ (2006) Prediction of the optimal mechanical properties for a scaffold used in osteochondral defect repair. Tissue Eng. 12, 2509–2519.

    Article  Google Scholar 

  36. Carter SB (1965) Principles of cell motility: the direction of cell movement and cancer invasion. Nature 208 (16), 1183–1187.

    Article  Google Scholar 

  37. Palsson BO, Bhatia SN (2004) Tissue Engineering. Pearson Prentice. Hall Bioengineering.

    Google Scholar 

  38. Von Neumann J (1966). Theory of Self-Reproducing Automata. Univ. of Illinois Press.

    Google Scholar 

  39. Byrne DP, Lacroix D, Planell JA, Kelly DJ, Prendergast PJ (2007) Simulation of tissue differentiation in a scaffold as a function of porosity, Young’s modulus and dissolution rate: application of mechanobiological models in tissue engineering. Biomaterials 28, 5544–5554.

    Article  Google Scholar 

  40. Prendergast PJ (2001). An analysis of theories in biomechanics. Engineering Transactions (Rozprawy Inzynierskie) 49, 117–133.

    MATH  Google Scholar 

  41. Isaksson H, van Donkelaar C, Huiskes R, Ito K (2008) A mechano-regulatory bone-healing model incorporating cell-phenotype specific activity. Journal of Theoretical Biology 252, 230–246

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. Checa .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer Science+Business Media

About this chapter

Cite this chapter

Checa, S., Sandino, C., Byrne, D.P., Kelly, D.J., Lacroix, D., Prendergast, P.J. (2011). Computational techniques for selection of biomaterial scaffolds for tissue engineering. In: Fernandes, P., Bártolo, P. (eds) Advances on Modeling in Tissue Engineering. Computational Methods in Applied Sciences, vol 20. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1254-6_4

Download citation

  • DOI: https://doi.org/10.1007/978-94-007-1254-6_4

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-1253-9

  • Online ISBN: 978-94-007-1254-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics