Targeted exosome-mediated delivery of opioid receptor Mu siRNA for the treatment of morphine relapse

Yuchen Liu(Nanjing University), Dameng Li(Nanjing University), Zhengya Liu(Nanjing University), Yu Zhou(Nanjing University), Danping Chu(Nanjing University), Xihan Li(Nanjing University), Xiaohong Jiang(Nanjing University), Dongxia Hou(Nanjing University), Xi Chen(Nanjing University), Yuda Chen(Nanjing University), Zhanzhao Yang(Nanjing University), Ling Jin(Nanjing University), Waner Jiang(Nanjing University), Chenfei Tian(Nanjing University), Geyu Zhou(Nanjing University), Ke Zen(Nanjing University), Junfeng Zhang(Nanjing University), Yujing Zhang(Nanjing University), Jing Li(Nanjing University), Chen‐Yu Zhang(Nanjing University)
Scientific Reports
December 3, 2015
Cited by 280Open Access
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Abstract

Cell-derived exosomes have been demonstrated to be efficient carriers of small RNAs to neighbouring or distant cells, highlighting the preponderance of exosomes as carriers for gene therapy over other artificial delivery tools. In the present study, we employed modified exosomes expressing the neuron-specific rabies viral glycoprotein (RVG) peptide on the membrane surface to deliver opioid receptor mu (MOR) siRNA into the brain to treat morphine addiction. We found that MOR siRNA could be efficiently packaged into RVG exosomes and was associated with argonaute 2 (AGO2) in exosomes. These exosomes efficiently and specifically delivered MOR siRNA into Neuro2A cells and the mouse brain. Functionally, siRNA-loaded RVG exosomes significantly reduced MOR mRNA and protein levels. Surprisingly, MOR siRNA delivered by the RVG exosomes strongly inhibited morphine relapse via the down-regulation of MOR expression levels. In conclusion, our results demonstrate that targeted RVG exosomes can efficiently transfer siRNA to the central nervous system and mediate the treatment of morphine relapse by down-regulating MOR expression levels. Our study provides a brand new strategy to treat drug relapse and diseases of the central nervous system.


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