Literature DB >> 12464278

Modeling the dynamic composition of engineered cartilage.

Christopher G Wilson1, Lawrence J Bonassar, Sean S Kohles.   

Abstract

Mathematical models to describe extracellular matrix (ECM) deposition and scaffold degradation in cell-polymer constructs for the design of engineered cartilage were developed and validated. The ECM deposition model characterized a product-inhibition mechanism in the concentration of cartilage molecules, collagen and glycosaminoglycans (GAG). The scaffold degradation model used first-order kinetics to describe hydrolysis (not limited by diffusion) of biodegradable polyesters, polyglycolic acid and polylactic acid. Each model was fit to published accumulation and degradation data. As experimental validation, cell-polymer constructs (n=24) and unseeded scaffolds (n=24) were cultured in vitro. Biochemical assays for ECM content and measurements of scaffold mass were performed at 1, 2, 4, 6, 8, or 10 weeks (n=8 per time point). The models demonstrated a strong fit with published data and experimental results (R(2)=0.75 to 0.99) and predicted the temporal total construct mass with reasonable accuracy (30% RMS error). This approach can elucidate mechanisms governing accumulation/degradation and may be coupled with structure-function relationships to describe time-dependent changes in construct elastic properties.

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Year:  2002        PMID: 12464278     DOI: 10.1016/s0003-9861(02)00562-3

Source DB:  PubMed          Journal:  Arch Biochem Biophys        ISSN: 0003-9861            Impact factor:   4.013


  22 in total

1.  Prediction of growth factor effects on engineered cartilage composition using deterministic and stochastic modeling.

Authors:  Asit K Saha; Jagannath Mazumdar; Sean S Kohles
Journal:  Ann Biomed Eng       Date:  2004-06       Impact factor: 3.934

2.  Scaffold percolative efficiency: in vitro evaluation of the structural criterion for electrospun mats.

Authors:  Ashkan Heidarkhan Tehrani; Ali Zadhoush; Saeed Karbasi; Hojjat Sadeghi-Aliabadi
Journal:  J Mater Sci Mater Med       Date:  2010-08-29       Impact factor: 3.896

3.  In vitro ovine articular chondrocyte proliferation: experiments and modelling.

Authors:  L Mancuso; M I Liuzzo; S Fadda; M Pisu; A Cincotti; M Arras; G La Nasa; A Concas; G Cao
Journal:  Cell Prolif       Date:  2010-04-14       Impact factor: 6.831

4.  The role of mass balance equations in growth mechanics illustrated in surface and volume dissolutions.

Authors:  Gerard A Ateshian
Journal:  J Biomech Eng       Date:  2011-01       Impact factor: 2.097

5.  Heterogeneity is key to hydrogel-based cartilage tissue regeneration.

Authors:  Shankar Lalitha Sridhar; Margaret C Schneider; Stanley Chu; Gaspard de Roucy; Stephanie J Bryant; Franck J Vernerey
Journal:  Soft Matter       Date:  2017-07-19       Impact factor: 3.679

6.  Novel technique for online characterization of cartilaginous tissue properties.

Authors:  Tai-Yi Yuan; Chun-Yuh Huang; Wei Yong Gu
Journal:  J Biomech Eng       Date:  2011-09       Impact factor: 2.097

7.  Enabling tools for engineering collagenous tissues integrating bioreactors, intravital imaging, and biomechanical modeling.

Authors:  Laura E Niklason; Alvin T Yeh; Elizabeth A Calle; Yuqiang Bai; Arturo Valentín; Jay D Humphrey
Journal:  Proc Natl Acad Sci U S A       Date:  2009-12-01       Impact factor: 11.205

Review 8.  Nanostructured injectable cell microcarriers for tissue regeneration.

Authors:  Zhanpeng Zhang; Thomas W Eyster; Peter X Ma
Journal:  Nanomedicine (Lond)       Date:  2016-05-27       Impact factor: 5.307

9.  Dynamic matrix composition in engineered cartilage with stochastic supplementation of growth factors.

Authors:  A K Saha; J Mazumdar; S S Kohles
Journal:  Australas Phys Eng Sci Med       Date:  2005-06       Impact factor: 1.430

10.  Simulating the growth of articular cartilage explants in a permeation bioreactor to aid in experimental protocol design.

Authors:  Timothy P Ficklin; Andrew Davol; Stephen M Klisch
Journal:  J Biomech Eng       Date:  2009-04       Impact factor: 2.097

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