Functional Improvement of Infarcted Heart by Co-Injection of Embryonic Stem Cells with Temperature-Responsive Chitosan Hydrogel

Wen-Ning Lu(Academy of Military Medical Sciences), Shuanghong Lü(Academy of Military Medical Sciences), Haibin Wang(Academy of Military Medical Sciences), Dexue Li(Academy of Military Medical Sciences), Cuimi Duan(Academy of Military Medical Sciences), Zhiqiang Liu(Academy of Military Medical Sciences), Tong Hao(Academy of Military Medical Sciences), Wenjun He(Academy of Military Medical Sciences), Bin Xu(Academy of Military Medical Sciences), Qiang Fu(Academy of Military Medical Sciences), Ying C. Song, Xiaohua Xie, Changyong Wang(Academy of Military Medical Sciences)
Tissue Engineering Part A
December 6, 2008
Cited by 227

Abstract

Transplantation of embryonic stem cells (ESCs) can improve cardiac function in treatment of myocardial infarction. The low rate of cell retention and survival within the ischemic tissues makes the application of cell transplantation techniques difficult. In this study, we used a temperature-responsive chitosan hydrogel (as scaffold) combined with ESCs to maintain viable cells in the infarcted tissue. Temperature-responsive chitosan hydrogel was prepared and injected into the infarcted heart wall of rat infarction models alone or together with mouse ESCs. The result showed that the 24-h cell retention and 4 week graft size of both groups was significantly greater than with a phosphate buffered saline control. After 4 weeks of implantation, heart function, wall thickness, and microvessel densities within the infarct area improved in the chitosan + ESC, chitosan, and ESC group more than the PBS control. Of the three groups, the chitosan + ESC performed best. Results of this study indicate that temperature-responsive chitosan hydrogel is an injectable scaffold that can be used to deliver stem cells to infarcted myocardium. It can also increase cell retention and graft size. Cardiac function is well preserved, too.


Related Papers

No related papers found

Powered by citation graph analysis