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A proposed model of xeno-keratoplasty using 3D printing and decellularization

Affiliation
Biomedical Engineering and Healthcare Engineering Innovation Center ,Khalifa University ,Abu Dhabi ,United Arab Emirates
Wang, Xinyu;
Affiliation
Department of Immunology and Physiology ,College of Medicine and Health Sciences ,Khalifa University ,Abu Dhabi ,United Arab Emirates
Elbahrawi, Rawdah Taha;
Affiliation
Department of Immunology and Physiology ,College of Medicine and Health Sciences ,Khalifa University ,Abu Dhabi ,United Arab Emirates
Abdukadir, Azhar Mohamud;
Affiliation
Department of Immunology and Physiology ,College of Medicine and Health Sciences ,Khalifa University ,Abu Dhabi ,United Arab Emirates
Ali, Zehara Mohammed;
Affiliation
Biomedical Engineering and Healthcare Engineering Innovation Center ,Khalifa University ,Abu Dhabi ,United Arab Emirates
Chan, Vincent;
Affiliation
Biomedical Engineering and Healthcare Engineering Innovation Center ,Khalifa University ,Abu Dhabi ,United Arab Emirates
Corridon, Peter R.

Corneal opacity is a leading cause of vision impairment and suffering worldwide. Transplantation can effectively restore vision and reduce chronic discomfort. However, there is a considerable shortage of viable corneal graft tissues. Tissue engineering may address this issue by advancing xeno-keratoplasty as a viable alternative to conventional keratoplasty. In particular, livestock decellularization strategies offer the potential to generate bioartificial ocular prosthetics in sufficient supply to match existing and projected needs. To this end, we have examined the best practices and characterizations that have supported the current state-of-the-art driving preclinical and clinical applications. Identifying the challenges that delimit activities to supplement the donor corneal pool derived from acellular scaffolds allowed us to hypothesize a model for keratoprosthesis applications derived from livestock combining 3D printing and decellularization.

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License Holder: Copyright © 2023 Wang, Elbahrawi, Abdukadir, Ali, Chan and Corridon.

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