2008
DOI: 10.1007/s11095-008-9777-y
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Bipartite Adenoviral Vector Encoding hHGF and hIL-1Ra for Improved Human Islet Transplantation

Abstract: Purpose Ex vivo gene therapy can improve the outcome of islet transplantation for treating type I diabetes. Hepatocyte growth factor (HGF) increases β-cell proliferation and promotes revascularization of islets, while interleukin-1 receptor antagonist (hIL-1Ra) inhibits islet cell apoptosis. Methods We constructed Adv-hHGF-hIL-1Ra by cloning hHGF and hIL-1Ra coding sequences and polyA signal under separate CMV promoters in Adenoquick plasmid. Results There was dose and time dependent expression of these ge… Show more

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Cited by 26 publications
(56 citation statements)
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“…Porcine islets are widely reported as a competent alternative for xenogeneic islet transplantation with the assistance of biological and biomaterial approaches to prevent enhanced immune destruction of the xenografts [7,8]. For in vitro transdifferentiation strategy, several groups have reported successful generation of insulin-producing β-cells and islet-like structures from both ES cells.…”
Section: Challenges Of Human Islet Transplantationmentioning
confidence: 99%
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“…Porcine islets are widely reported as a competent alternative for xenogeneic islet transplantation with the assistance of biological and biomaterial approaches to prevent enhanced immune destruction of the xenografts [7,8]. For in vitro transdifferentiation strategy, several groups have reported successful generation of insulin-producing β-cells and islet-like structures from both ES cells.…”
Section: Challenges Of Human Islet Transplantationmentioning
confidence: 99%
“…Gene transfer of angiogenesis factors such as VEGF and hepatocyte growth factor (HGF) can be an effective strategy to fulfill this purpose and has been widely reported by us and other groups [7][8][9]. VEGF is a popular angiogenic factor, but its effect is so potent that caution should be exercised to avoid aberrant angiogenesis [10].…”
Section: Progress In Gene Therapymentioning
confidence: 99%
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