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A Self-Assembling Process in Articular Cartilage Tissue Engineering

Hu, Jerry C., Athanasiou, Kyriacos A.·2006·Tissue Engineering

Abstract

Current therapies for articular cartilage defects often result in fibrocartilaginous tissue. To achieve regeneration with hyaline articular cartilage, tissue-engineering approaches employing cell-seeded scaffolds have been investigated. However, limitations of scaffolds include phenotypic alteration of cells, stress-shielding, hindrance of neotissue organization, and degradation product toxicity. This study employs a self-assembling process to produce tissue-engineered constructs over agarose in vitro without using a scaffold. Compared to past studies using various meshes and gels as scaffolding materials, the self-assembly method yielded constructs with comparable GAG and collagen content. By 12 weeks, the self-assembling process resulted in tissue-engineered constructs that were hyaline- like in appearance with histological, biochemical, and biomechanical properties approaching those of native articular cartilage. Overall, constructs contained two thirds more GAG per dry weight than calf articular cartilage. Collagen per dry weight reached more than one third the level of native tissue. IHC and gel electrophoresis showed collagen type II production and absence of collagen type I. More importantly, self-assembled constructs reached well over one third the stiffness of native tissue.

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Metadata

Authors
Hu, J. C., & Athanasiou, K. A.
Venue
Tissue Engineering
Published
2006-04
Volume
12
Issue
4
Pages
969-979
ISSN
  • 1076-3279 (ISSN-L)
  • 1557-8690
OpenAlex
W2026605921
Cited by
285
References
0
FWCI
11.76
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Self-Assembling Process in Articular Cartilage Tissue Engineering. https://app.cochat.ai/papers/10.1089/ten.2006.12.969
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Hu, J. C., & Athanasiou, K. A. (2006). A Self-Assembling Process in Articular Cartilage Tissue Engineering. Tissue Engineering. https://doi.org/10.1089/ten.2006.12.969

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.