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Maximizing cartilage formation and integration via a trajectory-based tissue engineering approach
- Source :
- Biomaterials. 35:2140-2148
- Publication Year :
- 2014
- Publisher :
- Elsevier BV, 2014.
-
Abstract
- Given the limitations of current surgical approaches to treat articular cartilage injuries, tissue engineering (TE) approaches have been aggressively pursued. Despite reproduction of key mechanical attributes of native tissue, the ability of TE cartilage constructs to integrate with native tissue must also be optimized for clinical success. In this paper, we propose a "trajectory-based" tissue engineering (TB-TE) approach, based on the hypothesis that time-dependent increases in construct maturation in-vitro prior to implantation (i.e. positive rates) may provide a reliable predictor of in-vivo success. As an example TE system, we utilized hyaluronic acid hydrogels laden with mesenchymal stem cells. We first modeled the maturation of these constructs in-vitro to capture time-dependent changes. We then performed a sensitivity analysis of the model to optimize the timing and amount of data collection. Finally, we showed that integration to cartilage in-vitro is not correlated to the maturation state of TE constructs, but rather their maturation rate, providing a proof-of-concept for the use of TB-TE to enhance treatment outcomes following cartilage injury. This new approach challenges the traditional TE paradigm of matching only native state parameters of maturity and emphasizes the importance of also establishing an in-vitro trajectory in constructs in order to improve the chance of in-vivo success.
- Subjects :
- Materials science
Treatment outcome
Biophysics
Bioengineering
Machine learning
computer.software_genre
Article
Biomaterials
Tissue engineering
medicine
Animals
Surgical approach
Tissue Engineering
business.industry
Cartilage formation
Cartilage
Articular cartilage injuries
medicine.disease
medicine.anatomical_structure
Mechanics of Materials
Self-healing hydrogels
Ceramics and Composites
Trajectory
Cattle
Artificial intelligence
business
computer
Biomedical engineering
Subjects
Details
- ISSN :
- 01429612
- Volume :
- 35
- Database :
- OpenAIRE
- Journal :
- Biomaterials
- Accession number :
- edsair.doi.dedup.....663e3dbd251a5b776030e6a9dc4c776a
- Full Text :
- https://doi.org/10.1016/j.biomaterials.2013.11.031