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Published on: June 13, 2014
Bone-Targeting Nucleic Acid Delivery Polymer Vector for Effective Therapy of Bone Metastasis
Zejuan Li1,2, Xiao Xiao3, Xu Pu1
1Department of Polymeric Materials, School of Materials Science and Engineering, Tongji University, 4800 Caoan Road, Shanghai 201804, China.
Abstract:
Bone diseases, such as bone metastases, pose significant therapeutic challenges due to the distinct physiological environment of skeletal tissues, which complicates the targeted delivery of nucleic acid therapeutics. Existing delivery systems, including lipid nanoparticles (LNP) and polyethylenimine (PEI), struggle to achieve precise bone targeting effectively. To address this issue, we developed a polymer-based bone-targeting bioreducible nucleic acid delivery vector, poly[alendronic acid-co-(N,N'-bis(acryloyl)cystamine-co-4-amino-1-butanol)] (ALN-Pabol), which incorporates alendronic acid (ALN) for precise bone targeting. The ALN-Pabol exhibited a hydroxyapatite binding rate of 91.1%, significantly outperforming nontargeted Pabol/miRNA (73.5%) and commercial systems such as PEI/miRNA (58.3%) and Lipofectamine 2000/miRNA (64.7%). In vivo fluorescence imaging demonstrated its superior skeletal accumulation compared to nontargeted controls. In a murine breast cancer bone metastasis model, ALN-Pabol/miRNA polyplex reduced bone tumor weight by 79.1% relative to PBS controls and 36.8% compared to LNP/miRNA. Mechanistically, the polyplex dissociates in the high-glutathione tumor microenvironment, releasing therapeutic miRNA to suppress cancer cell proliferation and promote apoptosis. Simultaneously, ALN inhibits osteoclast activity, significantly mitigating osteolytic damage. Micro-CT analysis revealed near-complete restoration of bone volume and trabecular architecture to healthy levels. This work establishes ALN-Pabol as a highly promising delivery vector for bone-targeted gene therapy, bridging critical gaps in skeletal disease treatment and expanding potential applications in bone regeneration and cancer therapy.
Insights
A novel polymer delivery system targets bone diseases, effectively delivering nucleic acid therapeutics to bone metastases. This system significantly reduces tumor growth and restores bone health, offering a promising new approach for skeletal disease treatment.
Area of Science:
- Biomaterials Science
- Nanotechnology
- Oncology
Background:
- Bone diseases, including metastases, present challenges for targeted nucleic acid therapy delivery due to the unique skeletal microenvironment.
- Current delivery systems like lipid nanoparticles (LNP) and polyethylenimine (PEI) lack efficient bone targeting capabilities.
Purpose of the Study:
- To develop and evaluate a novel polymer-based, bone-targeting, bioreducible nucleic acid delivery vector for skeletal disease therapy.
- To assess the vector's efficacy in targeting bone, delivering therapeutic nucleic acids, and mitigating bone metastasis progression.
Main Methods:
- Synthesized a polymer vector, poly[alendronic acid-co-(N,N'-bis(acryloyl)cystamine-co-4-amino-1-butanol)] (ALN-Pabol), incorporating alendronic acid (ALN) for bone targeting.
- Evaluated hydroxyapatite binding affinity, in vivo skeletal accumulation, and therapeutic efficacy in a murine breast cancer bone metastasis model.
- Assessed the vector's mechanism of action, including polyplex dissociation, miRNA release, osteoclast inhibition, and bone structure restoration via micro-CT.
Main Results:
- ALN-Pabol demonstrated high hydroxyapatite binding (91.1%), significantly exceeding nontargeted and commercial delivery systems.
- In vivo imaging confirmed superior skeletal accumulation of the ALN-Pabol vector.
- The ALN-Pabol/miRNA polyplex reduced bone tumor weight by 79.1% and improved bone architecture, restoring bone volume and trabecular structure.
Conclusions:
- ALN-Pabol is a highly effective bone-targeting delivery vector for nucleic acid therapeutics.
- This vector system shows significant potential for treating bone metastases and offers applications in bone regeneration and cancer therapy.

