AAV8-mediated gene transfer of iInterleukin-4 to endogenous β-cells prevents the onset of diabetes in NOD mice

Khaja K. Rehman, Massimo Trucco, Zhong Wang, Xiao Xiao, Paul D. Robbins

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

We have demonstrated the ability to deliver and express genes specifically in β-cells for at least 6 months, using a murine insulin promoter (mIP) in a double-stranded, self-complementary AAV vector (dsAAV8-mIP). In this study, we evaluated the effects of dsAAV8-mIP-mediated delivery of interleukin 4 (mIL-4) to endogenous β-cells in nonobese diabetic (NOD) mice. In 4-week-old NOD mice, the extent of gene transfer and expression in endogenous β-cells after ip delivery of dsAAV8-mIP-enhanced green fluorescent protein (eGFP) was comparable to normal BALB/C mice. Further, after IP delivery of dsAAV8-mIP-IL4, expression of mIL-4 was detected in islets isolated from the treated mice and cultured. AAV8-mIP-mediated gene expression of mIL-4 in endogenous β- cells of 4- and 8-week-old NOD mice prevented the onset of hyperglycemia in NOD mice and reduced the severity of insulitis. Moreover, expression of mIL-4 also maintained the level of CD4+CD25+FoxP3+ cells, and adoptive transfer of splenocytes from nondiabetic dsAAV8-mIP-IL-4 mice to NODscid mice was able to block the diabetes induced by splenocytes co-adoptively transferred from nondiabetic dsAAV-mIP-eGFP mice. Taken together, these results demonstrate that local expression of mIL-4 in islets prevents islet destruction and blocks autoimmunity, partly through regulation of T-cell function.

Original languageEnglish (US)
Pages (from-to)1409-1416
Number of pages8
JournalMolecular Therapy
Volume16
Issue number8
DOIs
StatePublished - Aug 2008
Externally publishedYes

Bibliographical note

Funding Information:
This work was supported in part by grants from the Juvenile Diabetes Research Foundation (4-1999-845 and 7-2005-1154) and the American Diabetes Association (1-04-ISLET-23). We thank Nick Giannoukakis, Suzanne Bertera, Nicole Bianco for critical reading of manuscript and Maliha Zahid for statistical analysis.

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