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Optimal design and validation of antiviral siRNA for targeting hepatitis B virus

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Abstract:

Abstract

Aim: Optimal design of antiviral short-interfering RNA (siRNA) targeting highly divergent hepatitis B virus (HBV) was validated by quantitative structure-activity relationship (QSAR) analysis. Methods: The potency of 23 synthetic siRNAs targeting 23 sites throughout HBV pregenomic RNA were evaluated at 10 nmol/L by determining the inhibition on the expression of S/P/pregenomic mRNA and hepatitis B surface antigen (HBsAg) quantitatively in HepG2.2.15 cells. Genotype homology within HBV genomes was identified through plentiful computational analysis and the multiple linear regression analysis was made to validate the relationship between the functional siRNAs and primary characteristics. Based on the preliminary results, relationships between different determined endpoints [S/P mRNA, HBsAg, C/P mRNA, hepatitis B e antigen (HBeAg) and viral DNA load] and siRNA efficacy evaluation were investigated. Results: Genotype homology, open reading frame (ORF) S/P, X and C had tight correlation with the ability of siRNAs on inhibiting the expression of S/P/Pregenomic mRNA and HBsAg (P<0.01), of which, ORF C was negatively correlated with the siRNA potency (P<0.05). Further study showed that siRNA potency evaluation was influenced by different determined endpoints. P-target siRNAs showed significant inhibition on the S mRNA and HBsAg expression. S-target siRNAs inhibited the expression of S mRNA and HBsAg strongly. X-target siRNAs played active roles in inhibiting all 5 determined endpoints. C-target siRNAs blocked the expression of C mRNA, HBeAg and viral DNA load significantly. Conclusion: The antiviral potency of siRNA was relevant to its primary characteristics and determined endpoints were important for siRNA efficacy evaluation for complex genome with overlapping ORF, which was helpful for siRNA optimal design.

Keywords: HBV; genotype homology; quantitative structure-activity relationship; small interfering RNA

Document Type: Research Article

DOI: http://dx.doi.org/10.1111/j.1745-7254.2008.00891.x

Affiliations: 1: Department of Pharmacology and Toxicology, Beijing Institute of Radiation Medicine, Beijing 100850, China 2: Beijing Institute of Biotechnology, Beijing 100850, China 3: Laboratory of Genomics and Proteomics, Beijing Institute of Radiation Medicine, Beijing 100850, China

Publication date: December 1, 2008

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