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The asialoglycoprotein receptor (ASGPr) and N-acetylgalactosamine (GalNAc) is one of the most reliable receptor-ligand combinations for delivering antisense oligonucleotides (ASOs) to the liver. Here, we show that a modular GalNAc conjugation strategy allows us to reinforce the activity of the parent, naked 2′,4′-BNA/LNA gapmer targeting apolipoprotein B. The conjugation partly reduced a possible hepatotoxicity of the parent ASO. The structure-activity study revealed the significance of the metabolic susceptibility of the GalNAc moiety to nucleolytic cleavage that results in exposure of the parent gapmer. The broad usefulness of our delivery strategy of ASOs to the liver has been demonstrated. [ABSTRACT FROM AUTHOR]

Antisense oligonucleotides are attractive therapeutic agents for several types of disease. One of the most promising modifications of antisense oligonucleotides is the introduction of bridged nucleic acids. As we report here, we designed novel bridged nucleic acids, triazole-bridged nucleic acid (TrNA), and tetrazole-bridged nucleic acid (TeNA), whose sugar conformations are restricted to N-type by heteroaromatic ring-bridged structures. We then successfully synthesized TrNA and TeNA and introduced these monomers into oligonucleotides. In UV-melting experiments, TrNA-modified oligonucleotides exhibited increased binding affinity toward complementary RNA and decreased binding affinity toward complementary DNA, although TeNA-modified oligonucleotides were decomposed under the annealing conditions. Enzymatic degradation experiments demonstrated that introduction of TrNA at the 3'-terminus rendered oligonucleotides resistant to nuclease digestion. Furthermore, we tested the silencing potencies of TrNA-modified antisense oligonucleotides using in vitro and in vivo assays. These experiments revealed that TrNA-modified antisense oligonucleotides induced potent downregulation of gene expression in liver. In addition, TrNA-modified antisense oligonucleotides showed a tendency for increased liver biodistribution. Taken together, our findings indicate that TrNA is a good candidate for practical application in antisense methodology.