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Indexed by:Journal Papers

Date of Publication:2015-07-01

Journal:BIOTECHNOLOGY AND APPLIED BIOCHEMISTRY

Included Journals:SCIE、EI、PubMed、Scopus

Volume:62

Issue:4

Page Number:530-536

ISSN No.:0885-4513

Key Words:Box-Behnken design; cell encapsulation; islet survival rate; islet transportation; response surface methodology

Abstract:Restoration of insulin secretion by transplantation of isolated islets is a treatment for type diabetes mellitus. One of the major issues with clinical treatment of islet transplantation is how to maintain islet viability during transportation from the donor to the patient. We developed a method that uses alginate encapsulation to protect islets from mechanical damage during shipment. We tested several variables for their impact on islet viability during transportation and used the significant variable to build a response surface methodology (RSM) model by the Box-Behnken design method. This type of model is a mathematical and statistical technique that we used to optimize the conditions for islet viability during shipment. In this study, the factors that significantly affected islet survival rate were incubation time, serum concentration, and preservation time. Then, an empirical model was built to optimize conditions of the islets for shipping according to the responses of the effect factors with RSM. This model can be used to predict the islet survival rate and can serve as a guide for optimizing the transportation method of islets and increasing the success rate of the transplant procedure.