دورية أكاديمية

Rapid porcine corneal decellularization through the use of sodium N-lauroyl glutamate and supernuclease

التفاصيل البيبلوغرافية
العنوان: Rapid porcine corneal decellularization through the use of sodium N-lauroyl glutamate and supernuclease
المؤلفون: Dong, Muchen, Zhao, Long, Wang, Fuyan, Hu, Xiaoli, Li, Hua, Liu, Ting, Zhou, Qingjun, Shi, Weiyun
المساهمون: Taishan Scholar Program, Innovation Project of Shandong Academy of Medical Sciences, Key Project of National Natural Science Foundation of China
المصدر: Journal of Tissue Engineering ; volume 10, page 204173141987587 ; ISSN 2041-7314 2041-7314
بيانات النشر: SAGE Publications
سنة النشر: 2019
مصطلحات موضوعية: Biomedical Engineering, Biomaterials, Medicine (miscellaneous)
الوصف: Corneal decellularization represents a promising alternative source of human donor with global shortage. Multiple methods have been developed for the preparation of decellularized porcine corneal stroma. However, most strategies relied on long-time treatment to facilitate the entry of detergents or nucleases, which may cause irreversible ultrastructural damage. Here, we developed a rapid decellularization method for porcine corneal stroma through the combined mild detergent sodium N-lauroyl glutamate (SLG) and supernuclease. Compared with traditional methods, the novel decellularization method allowed the efficient removal of xenoantigen DNA within 3 h, while retaining the ultrastructure, transparency, and mechanical properties of porcine corneas. When transplanted in rabbit model for 1 month, the decellularized porcine corneal grafts presented favorable transparency and biocompatibility without immune rejection. Therefore, the combined use of detergent SLG and supernuclease may serve as a promising method for the clinical use of decellularized porcine cornea.
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1177/2041731419875876
الإتاحة: https://doi.org/10.1177/2041731419875876Test
حقوق: http://journals.sagepub.com/page/policies/text-and-data-mining-licenseTest
رقم الانضمام: edsbas.48F0CF5B
قاعدة البيانات: BASE