Format

Send to

Choose Destination
See comment in PubMed Commons below
J Biomech. 2014 Jun 27;47(9):2080-7. doi: 10.1016/j.jbiomech.2013.10.009. Epub 2013 Oct 21.

Computational model of the in vivo development of a tissue engineered vein from an implanted polymeric construct.

Author information

1
Department of Biomedical Engineering, Yale University, New Haven, CT, USA.
2
Surgical Research and Regenerative Medicine, Nationwide Children's Hospital, Columbus, OH, USA.
3
Vascular Biology and Therapeutics Program, Yale School of Medicine, New Haven, CT, USA.
4
Department of Biomedical Engineering, Yale University, New Haven, CT, USA; Vascular Biology and Therapeutics Program, Yale School of Medicine, New Haven, CT, USA. Electronic address: jay.humphrey@yale.edu.

Abstract

Advances in vascular tissue engineering have been tremendous over the past 15 years, yet there remains a need to optimize current constructs to achieve vessels having true growth potential. Toward this end, it has been suggested that computational models may help hasten this process by enabling time-efficient parametric studies that can reduce the experimental search space. In this paper, we present a first generation computational model for describing the in vivo development of a tissue engineered vein from an implanted polymeric scaffold. The model was motivated by our recent data on the evolution of mechanical properties and microstructural composition over 24 weeks in a mouse inferior vena cava interposition graft. It is shown that these data can be captured well by including both an early inflammatory-mediated and a subsequent mechano-mediated production of extracellular matrix. There remains a pressing need, however, for more data to inform the development of next generation models, particularly the precise transition from the inflammatory to the mechanobiological dominated production of matrix having functional capability.

KEYWORDS:

Constrained mixture theory; Inflammation; Interposition graft; Mechanosensing; Mouse model; Tissue engineering

PMID:
24210474
PMCID:
PMC3994188
DOI:
10.1016/j.jbiomech.2013.10.009
[Indexed for MEDLINE]
Free PMC Article
PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Elsevier Science Icon for PubMed Central
    Loading ...
    Support Center