Preparation and Recellularization of Tissue Engineered Bioscaffold for Heart Valve Replacement View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2005

AUTHORS

Toshia Fujisato , Kenji Minatoya , Sachiko Yamazaki , Yin Meng , Kazuo Niwaya , Akio Kishida , Takeshi Nakatani , Soichiro Kitamura

ABSTRACT

Tissue engineered grafts based on polymeric or acellular xenogeneric matrices have been widely studied, and found to have greater durability and functionality with growth potential and less immunogenicity than current bioprostheses. On the other hand, there are still several problems to be solved such as degradation control of biodegradable polymeric scaffolds and unwanted transfer of unknown animal related infectious diseases. In this chapter, our novel tissue processing of decellularization named PowerGraft by ultrahigh pressure treatment for safe tissue transplantation is reported. Porcine heart valves were isolated under sterile conditions and treated by cold isostatic pressing (CIP) at 4°C for disruption of donor cells. The cell debris was then washed out in PBS under microwave irradiation at 4°C. The tissues were completely cell free when they were treated by a CIP of 980 MPa (10,000 atm) for 10 min. There was no porcine endogeneous retrovirus (PERV) detected in the treated tissue. There were no significant changes in biomechanical properties of breaking strength and elastic modulus. From the in vitro incubation test, the tissues were disinfected when CIP was applied to the tissues contaminated by normal bacteria floras. The endothelial cells were well seeded on the acellular bioscaffold by the roller and circulation culture systems sequentially. This PowerGraft processing may provide a more durable and safe bioscaffold for tissue transplantation. More... »

PAGES

83-94

References to SciGraph publications

Book

TITLE

Cardiovascular Regeneration Therapies Using Tissue Engineering Approaches

ISBN

4-431-23925-1

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/4-431-27378-6_7

DOI

http://dx.doi.org/10.1007/4-431-27378-6_7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1024862548


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