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Lethal toxicity caused by expression of shRNA in the mouse striatum: implications for therapeutic design.

ABSTRACT: Therapeutic RNA interference (RNAi) has emerged as a promising approach for the treatment of many incurable diseases, including cancer, infectious disease or neurodegenerative disorders. Demonstration of efficacy and safety in animal models is necessary before planning human application. Our group and others have previously shown the potential of this approach for the dominantly inherited neurological disease DYT1 dystonia by achieving potent short-hairpin RNA (shRNA)-mediated silencing of the disease protein, torsinA, in cultured cells. To establish the feasibility of this approach in vivo, we pursued viral delivery of shRNA in two different mouse models. Surprisingly, intrastriatal injections of adeno-associated virus serotype 2/1 (AAV2/1) vectors expressing different shRNAs, whether targeting torsinA expression or mismatched controls, resulted in significant toxicity with progressive weight loss, motor dysfunction and animal demise. Histological analysis showed shRNA-induced neurodegeneration. Toxicity was not observed in animals that received control AAV2/1 encoding no shRNA, and was independent of genotype, occurring in both DYT1 and wild-type animals. Interestingly, the different genetic background of both mouse models influenced toxicity, being earlier and more severe in 129/SvEv than in C57BL/6 mice. In conclusion, our studies demonstrate that expression of shRNA in the mammalian brain can lead to lethal toxicity. Furthermore, the genetic background of rodents modifies their sensitivity to this form of toxicity, a factor that should be taken into consideration in the design of preclinical therapeutic RNAi trials.

SUBMITTER: Martin JN

PROVIDER: S-EPMC3131434 | biostudies-literature | 2011 Jul

REPOSITORIES: biostudies-literature

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Lethal toxicity caused by expression of shRNA in the mouse striatum: implications for therapeutic design.

Martin J N JN Wolken N N Brown T T Dauer W T WT Ehrlich M E ME Gonzalez-Alegre P P

Gene therapy 20110303 7

Therapeutic RNA interference (RNAi) has emerged as a promising approach for the treatment of many incurable diseases, including cancer, infectious disease or neurodegenerative disorders. Demonstration of efficacy and safety in animal models is necessary before planning human application. Our group and others have previously shown the potential of this approach for the dominantly inherited neurological disease DYT1 dystonia by achieving potent short-hairpin RNA (shRNA)-mediated silencing of the d ...[more]

PMID: 21368900

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Project description:Prediction of efficient oligonucleotides for RNA interference presents a serious challenge, especially for the development of genome-wide RNAi libraries which encounter difficulties and limitations due to ambiguities in the results and the requirement for significant computational resources. Here we present a fast and practical algorithm for shRNA design based on the thermodynamic parameters. In order to identify shRNA and siRNA features universally associated with high silencing efficiency, we analyzed structure-activity relationships in thousands of individual RNAi experiments from publicly available databases (ftp://ftp.ncbi.nlm.nih.gov/pub/shabalin/siRNA/si_shRNA_selector/). Using this statistical analysis, we found free energy ranges for the terminal duplex asymmetry and for fully paired duplex stability, such that shRNAs or siRNAs falling in both ranges have a high probability of being efficient. When combined, these two parameters yield a approximately 72% success rate on shRNAs from the siRecords database, with the target RNA levels reduced to below 20% of the control. Two other parameters correlate well with silencing efficiency: the stability of target RNA and the antisense strand secondary structure. Both parameters also correlate with the short RNA duplex stability; as a consequence, adding these parameters to our prediction scheme did not substantially improve classification accuracy. To test the validity of our predictions, we designed 83 shRNAs with optimal terminal asymmetry, and experimentally verified that small shifts in duplex stability strongly affected silencing efficiency. We showed that shRNAs with short fully paired stems could be successfully selected by optimizing only two parameters: terminal duplex asymmetry and duplex stability of the hypothetical cleavage product, which also relates to the specificity of mRNA target recognition. Our approach performs at the level of the best currently utilized algorithms that take into account prediction of the secondary structure of the target and antisense RNAs, but at significantly lower computational costs. Based on this study, we created the si-shRNA Selector program that predicts both highly efficient shRNAs and functional siRNAs (ftp://ftp.ncbi.nlm.nih.gov/pub/shabalin/siRNA/si_shRNA_selector/).

Dataset Information

Lethal toxicity caused by expression of shRNA in the mouse striatum: implications for therapeutic design.

Publications

Lethal toxicity caused by expression of shRNA in the mouse striatum: implications for therapeutic design.

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