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Articular Cartilage Regeneration through Bioassembling Spherical Micro-Cartilage Building Blocks
Brian E Grottkau1, Zhixin Hui1, Yonggang Pang1
1The Laboratory for Therapeutic 3D Bioprinting, Department of Orthopaedic Surgery, Massachusetts General Hospital, Harvard Medical School, 55 Fruit St., Boston, MA 02114, USA.
Bioassembly, using microtissues as building blocks, shows promise for regenerating articular cartilage, a tissue incapable of self-repair. This emerging technology offers new therapeutic avenues for cartilage defects.
Area of Science:
- Regenerative Medicine
- Biotechnology
- Tissue Engineering
Background:
- Articular cartilage lesions are common, affecting millions and lacking natural regeneration capacity.
- Current treatments for cartilage damage have significant limitations.
- Cartilage tissue engineering offers a promising alternative for repair and regeneration.
Purpose of the Study:
- To summarize and highlight the application of bioassembly technology in articular cartilage regeneration.
- To discuss the advantages and building blocks of bioassembly for cartilage repair.
- To analyze literature trends and discuss future directions for bioassembly in cartilage regeneration.
Main Methods:
- Review of 5069 articles published over the last 28 years.
- Analysis of research trends in seven categories related to bioassembly for cartilage.
- Discussion of building block types (spheroids, microspheres) and bioassembly techniques (bioprinting, non-bioprinting).
Main Results:
- Bioassembly utilizes microtissues as building blocks for constructing macro-tissues.
- Two primary building block types include scaffold-free spheroids and cell-laden microspheres.
- Literature analysis reveals trends and identifies key research areas in bioassembly for cartilage.
Conclusions:
- Bioassembly is an emerging and promising technology for articular cartilage regeneration.
- The technology offers advantages over existing methods for treating cartilage lesions.
- Further research and development are needed to address limitations and optimize future applications.
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