A versatile, engineered cartilage platform for tissue regeneration and disease modeling
The articular cartilage is a load-bearing surface of synovial joints. However, it is highly susceptible to traumatic injuries and diseases. Tissue-engineering strategies offer solutions by generating engineered cartilage tissue that can fulfill two functions: in vivo cartilage regeneration and in vi...
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sg-ntu-dr.10356-655572023-03-03T15:58:22Z A versatile, engineered cartilage platform for tissue regeneration and disease modeling Peck, Yvonne Wang Dongan School of Chemical and Biomedical Engineering DRNTU::Engineering::Bioengineering The articular cartilage is a load-bearing surface of synovial joints. However, it is highly susceptible to traumatic injuries and diseases. Tissue-engineering strategies offer solutions by generating engineered cartilage tissue that can fulfill two functions: in vivo cartilage regeneration and in vitro disease modeling. This thesis has employed the living hyaline cartilaginous graft (LhCG) to fulfill these functions. Chondrocyte isolation was made efficient through multiple-enzymatic digestion, improving LhCG fabrication efficiency. The as-generated LhCGs were able to regenerate cartilage over 6 months in skeletally mature pigs, assessed through radiographical, biochemical, and biomechanical tests. By placing the LhCGs in presence of other relevant cell types, osteoarthritis (OA) and rheumatoid arthritis (RA) disease progression was established. Importantly, the role of individual cells in disease pathogenesis could be studied. In summary, this thesis has demonstrated the dual function capability of LhCG for in vivo cartilage regeneration and in vitro disease modeling. DOCTOR OF PHILOSOPHY (SCBE) 2015-11-12T02:59:41Z 2015-11-12T02:59:41Z 2015 2015 Thesis Peck, Y. (2015). A versatile, engineered cartilage platform for tissue regeneration and disease modeling. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/65557 10.32657/10356/65557 en 225 p. application/pdf |
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DRNTU::Engineering::Bioengineering Peck, Yvonne A versatile, engineered cartilage platform for tissue regeneration and disease modeling |
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The articular cartilage is a load-bearing surface of synovial joints. However, it is highly susceptible to traumatic injuries and diseases. Tissue-engineering strategies offer solutions by generating engineered cartilage tissue that can fulfill two functions: in vivo cartilage regeneration and in vitro disease modeling. This thesis has employed the living hyaline cartilaginous graft (LhCG) to fulfill these functions. Chondrocyte
isolation was made efficient through multiple-enzymatic digestion, improving LhCG fabrication efficiency. The as-generated LhCGs were able to regenerate cartilage over
6 months in skeletally mature pigs, assessed through radiographical, biochemical, and biomechanical tests. By placing the LhCGs in presence of other relevant cell types, osteoarthritis (OA) and rheumatoid arthritis (RA) disease progression was established.
Importantly, the role of individual cells in disease pathogenesis could be studied. In
summary, this thesis has demonstrated the dual function capability of LhCG for in
vivo cartilage regeneration and in vitro disease modeling. |
author2 |
Wang Dongan |
author_facet |
Wang Dongan Peck, Yvonne |
format |
Theses and Dissertations |
author |
Peck, Yvonne |
author_sort |
Peck, Yvonne |
title |
A versatile, engineered cartilage platform for tissue regeneration and disease modeling |
title_short |
A versatile, engineered cartilage platform for tissue regeneration and disease modeling |
title_full |
A versatile, engineered cartilage platform for tissue regeneration and disease modeling |
title_fullStr |
A versatile, engineered cartilage platform for tissue regeneration and disease modeling |
title_full_unstemmed |
A versatile, engineered cartilage platform for tissue regeneration and disease modeling |
title_sort |
versatile, engineered cartilage platform for tissue regeneration and disease modeling |
publishDate |
2015 |
url |
https://hdl.handle.net/10356/65557 |
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1759853763050340352 |