Literature DB >> 28414616

Biphasic Finite Element Modeling Reconciles Mechanical Properties of Tissue-Engineered Cartilage Constructs Across Testing Platforms.

Gregory R Meloni1,2, Matthew B Fisher1,2,3, Brendan D Stoeckl1,2, George R Dodge1,2,4, Robert L Mauck1,2,4,5.   

Abstract

Cartilage tissue engineering is emerging as a promising treatment for osteoarthritis, and the field has progressed toward utilizing large animal models for proof of concept and preclinical studies. Mechanical testing of the regenerative tissue is an essential outcome for functional evaluation. However, testing modalities and constitutive frameworks used to evaluate in vitro grown samples differ substantially from those used to evaluate in vivo derived samples. To address this, we developed finite element (FE) models (using FEBio) of unconfined compression and indentation testing, modalities commonly used for such samples. We determined the model sensitivity to tissue radius and subchondral bone modulus, as well as its ability to estimate material parameters using the built-in parameter optimization tool in FEBio. We then sequentially tested agarose gels of 4%, 6%, 8%, and 10% weight/weight using a custom indentation platform, followed by unconfined compression. Similarly, we evaluated the ability of the model to generate material parameters for living constructs by evaluating engineered cartilage. Juvenile bovine mesenchymal stem cells were seeded (2 × 107 cells/mL) in 1% weight/volume hyaluronic acid hydrogels and cultured in a chondrogenic medium for 3, 6, and 9 weeks. Samples were planed and tested sequentially in indentation and unconfined compression. The model successfully completed parameter optimization routines for each testing modality for both acellular and cell-based constructs. Traditional outcome measures and the FE-derived outcomes showed significant changes in material properties during the maturation of engineered cartilage tissue, capturing dynamic changes in functional tissue mechanics. These outcomes were significantly correlated with one another, establishing this FE modeling approach as a singular method for the evaluation of functional engineered and native tissue regeneration, both in vitro and in vivo.

Entities:  

Keywords:  cartilage tissue engineering; mechanical evaluation; mesenchymal stem cells

Mesh:

Year:  2017        PMID: 28414616      PMCID: PMC5549831          DOI: 10.1089/ten.tea.2016.0191

Source DB:  PubMed          Journal:  Tissue Eng Part A        ISSN: 1937-3341            Impact factor:   3.845


  37 in total

1.  A cross-validation of the biphasic poroviscoelastic model of articular cartilage in unconfined compression, indentation, and confined compression.

Authors:  M R DiSilvestro; J K Suh
Journal:  J Biomech       Date:  2001-04       Impact factor: 2.712

2.  A dual optimization method for the material parameter identification of a biphasic poroviscoelastic hydrogel: Potential application to hypercompliant soft tissues.

Authors:  Joseph E Olberding; J-K Francis Suh
Journal:  J Biomech       Date:  2005-09-08       Impact factor: 2.712

3.  Inverse analysis of constitutive models: biological soft tissues.

Authors:  Fulin Lei; A Z Szeri
Journal:  J Biomech       Date:  2006-05-30       Impact factor: 2.712

4.  A Conewise Linear Elasticity mixture model for the analysis of tension-compression nonlinearity in articular cartilage.

Authors:  M A Soltz; G A Ateshian
Journal:  J Biomech Eng       Date:  2000-12       Impact factor: 2.097

5.  Determination of nonlinear fibre-reinforced biphasic poroviscoelastic constitutive parameters of articular cartilage using stress relaxation indentation testing and an optimizing finite element analysis.

Authors:  A Seifzadeh; D C D Oguamanam; N Trutiak; M Hurtig; M Papini
Journal:  Comput Methods Programs Biomed       Date:  2011-07-30       Impact factor: 5.428

6.  A finite element analysis of the indentation stress-relaxation response of linear biphasic articular cartilage.

Authors:  R L Spilker; J K Suh; V C Mow
Journal:  J Biomech Eng       Date:  1992-05       Impact factor: 2.097

7.  A triphasic theory for the swelling and deformation behaviors of articular cartilage.

Authors:  W M Lai; J S Hou; V C Mow
Journal:  J Biomech Eng       Date:  1991-08       Impact factor: 2.097

8.  A linearized formulation of triphasic mixture theory for articular cartilage, and its application to indentation analysis.

Authors:  Xin L Lu; Leo Q Wan; X Edward Guo; Van C Mow
Journal:  J Biomech       Date:  2009-11-06       Impact factor: 2.712

9.  New resource for the computation of cartilage biphasic material properties with the interpolant response surface method.

Authors:  Kathryn E Keenan; Lampros C Kourtis; Thor F Besier; Derek P Lindsey; Garry E Gold; Scott L Delp; Gary S Beaupre
Journal:  Comput Methods Biomech Biomed Engin       Date:  2009-08       Impact factor: 1.763

10.  Mechanical properties of hyaline and repair cartilage studied by nanoindentation.

Authors:  O Franke; K Durst; V Maier; M Göken; T Birkholz; H Schneider; F Hennig; K Gelse
Journal:  Acta Biomater       Date:  2007-06-22       Impact factor: 8.947

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  12 in total

1.  Effects of culture conditions on the mechanical and biological properties of engineered cartilage constructed with collagen hybrid scaffold and human mesenchymal stem cells.

Authors:  Yusuke Nakamuta; Takaaki Arahira; Mitsugu Todo
Journal:  J Mater Sci Mater Med       Date:  2019-10-19       Impact factor: 3.896

2.  A Systematic Review and Guide to Mechanical Testing for Articular Cartilage Tissue Engineering.

Authors:  Jay M Patel; Brian C Wise; Edward D Bonnevie; Robert L Mauck
Journal:  Tissue Eng Part C Methods       Date:  2019-09-30       Impact factor: 3.056

3.  Resorbable Pins to Enhance Scaffold Retention in a Porcine Chondral Defect Model.

Authors:  Jay M Patel; Mackenzie L Sennett; Anthony R Martin; Kamiel S Saleh; Michael R Eby; Blair S Ashley; Liane M Miller; George R Dodge; Jason A Burdick; James L Carey; Robert L Mauck
Journal:  Cartilage       Date:  2020-10-09       Impact factor: 3.117

4.  Transection of the medial meniscus anterior horn results in cartilage degeneration and meniscus remodeling in a large animal model.

Authors:  Sonia Bansal; Liane M Miller; Jay M Patel; Kyle D Meadows; Michael R Eby; Kamiel S Saleh; Anthony R Martin; Brendan D Stoeckl; Michael W Hast; Dawn M Elliott; Miltiadis H Zgonis; Robert L Mauck
Journal:  J Orthop Res       Date:  2020-04-23       Impact factor: 3.494

5.  Nanofibrous hyaluronic acid scaffolds delivering TGF-β3 and SDF-1α for articular cartilage repair in a large animal model.

Authors:  Anthony R Martin; Jay M Patel; Ryan C Locke; Michael R Eby; Kamiel S Saleh; Matthew D Davidson; Mackenzie L Sennett; Hannah M Zlotnick; Andrew H Chang; James L Carey; Jason A Burdick; Robert L Mauck
Journal:  Acta Biomater       Date:  2021-03-19       Impact factor: 8.947

6.  The porcine accessory carpal bone as a model for biologic joint replacement for trapeziometacarpal osteoarthritis.

Authors:  Brendan D Stoeckl; Hannah M Zlotnick; Megan J Farrell; George W Fryhofer; Michael W Hast; Liane M Miller; Mackenzie L Sennett; Josh R Baxter; Thomas P Schaer; Robert L Mauck; David R Steinberg
Journal:  Acta Biomater       Date:  2021-05-19       Impact factor: 10.633

Review 7.  Utilization of Finite Element Analysis for Articular Cartilage Tissue Engineering.

Authors:  Chaudhry R Hassan; Yi-Xian Qin; David E Komatsu; Sardar M Z Uddin
Journal:  Materials (Basel)       Date:  2019-10-12       Impact factor: 3.623

Review 8.  Computational technology for nasal cartilage-related clinical research and application.

Authors:  Bing Shi; Hanyao Huang
Journal:  Int J Oral Sci       Date:  2020-07-27       Impact factor: 6.344

9.  An in vitro investigation to understand the synergistic role of MMPs-1 and 9 on articular cartilage biomechanical properties.

Authors:  Allison Mixon; Andrew Savage; Ahmed Suparno Bahar-Moni; Malek Adouni; Tanvir Faisal
Journal:  Sci Rep       Date:  2021-07-13       Impact factor: 4.379

10.  Marked differences in local bone remodelling in response to different marrow stimulation techniques in a large animal.

Authors:  H M Zlotnick; R C Locke; B D Stoeckl; J M Patel; S Gupta; K D Browne; J Koh; J L Carey; R L Mauck
Journal:  Eur Cell Mater       Date:  2021-05-19       Impact factor: 3.942

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