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DOI 10.1177/0885328217740729

Медицинская библиотека · Journal of biomaterials applications · 2017

Development of chondrocyte-seeded electrosprayed nanoparticles for repair of articular cartilage defects in rabbits.

Yang Shan-Wei, Ku Kai-Chi, Chen Shu-Ying, Kuo Shyh-Ming, Chen I-Fen, Wang Ting-Yi, Chang Shwu-Jen

СтатьяПоддержка исследования: вне правительства СШАПеревод в очереди

Аннотация

Due to limited self-healing capacity in cartilages, there is a rising demand for an innovative therapy that promotes chondrocyte proliferation while maintaining its biofunctionality for transplantation. Chondrocyte transplantation has received notable attention; however, the tendencies of cell de-differentiation and de-activation of biofunctionality have been major hurdles in its development, delaying this therapy from reaching the clinic. We believe it is due to the non-stimulative environment in the injured cartilage, which is unable to provide sustainable physical and biological supports to the newly grafted chondrocytes. Therefore, we evaluated whether providing an appropriate matrix to the transplanted chondrocytes could manipulate cell fate and recovery outcomes. Here, we proposed the development of electrosprayed nanoparticles composed of cartilage specific proteins, namely collagen type II and hyaluronic acid, for implantation with pre-seeded chondrocytes into articular cartilage defects. The fabricated nanoparticles were pre-cultured with chondrocytes before implantation into injured articular cartilage. The study revealed a significant potential for nanoparticles to support pre-seeded chondrocytes in cartilage repair, serving as a protein delivery system while improving the survival and biofunctionality of transplanted chondrocytes for prolonged period of time.

Для цитирования: Yang Shan-Wei, Ku Kai-Chi, Chen Shu-Ying, Kuo Shyh-Ming, Chen I-Fen, Wang Ting-Yi, Chang Shwu-Jen. Development of chondrocyte-seeded electrosprayed nanoparticles for repair of articular cartilage defects in rabbits.. Journal of biomaterials applications. 2017. DOI: 10.1177/0885328217740729.

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