研究目的
To overcome the limitations of existing photosensitizers in penetrating deep skin tissue for photodynamic therapy (PDT) of skin cancers by developing a mesoporous nanovehicle with dual loading of photosensitizers and clinically relevant drugs, utilizing microneedle technology to facilitate their penetration into deep skin tissue.
研究成果
The developed mesoporous nanovehicle with dual loading of photosensitizers and clinically relevant drugs, combined with microneedle technology, significantly enhances the penetration and therapeutic efficacy for the treatment of deep-seated melanoma. The combination therapy shows superior tumor regression in a xenografted melanoma mouse model, indicating its potential for clinical applications.
研究不足
The study focuses on BRAFV600E mutant melanoma, which may limit its applicability to other types of skin cancers. The penetration depth facilitated by microneedles may not be sufficient for all deep-seated tumors. The photodynamic therapy requires light irradiation, which may not penetrate deeply enough for some applications.
1:Experimental Design and Method Selection:
Synthesis of sub-50 nm photodynamically active mesoporous organosilica nanoparticles with photosensitizers covalently bonded to the silica matrix. The mesopores were loaded with small-molecule inhibitors (dabrafenib and trametinib). Microneedle technology was used to facilitate penetration into deep skin tissue.
2:Sample Selection and Data Sources:
Porcine skin for penetration studies and a xenografted melanoma mouse model for in vivo efficacy studies.
3:List of Experimental Equipment and Materials:
Transmission electron microscopy (TEM), dynamic light scattering (DLS), X-ray photoelectron spectroscopy (XPS), confocal laser scanning microscopy (CLSM), IVIS SpectrumCT Preclinical in Vivo imaging system.
4:Experimental Procedures and Operational Workflow:
Synthesis of nanoparticles, drug loading, in vitro and in vivo efficacy studies, penetration studies using microneedle technology.
5:Data Analysis Methods:
Statistical analysis using one-way ANOVA, tumor growth inhibition (TGI) calculations, singlet oxygen quantum yield (?Δ) determination.
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