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Modern Photodynamic Glioblastoma Therapy Using Curcumin- or Parietin-Loaded Lipid Nanoparticles in a CAM Model Study
Jan Schulze1, Lisa Schöne2, Abdallah M Ayoub1
1Department of Pharmaceutics and Biopharmaceutics, University of Marburg, Robert-Koch-Strasse 4, Marburg 35037, Germany.
ACS Applied Bio Materials
|November 28, 2023
Summary
This study explores using natural photosensitizers in lipid nanoparticles for glioblastoma photodynamic therapy (PDT). The research demonstrates the efficacy of this approach in reducing tumor viability and angiogenesis on a chick embryo model.
Area of Science:
- Nanomedicine
- Photodynamic Therapy
- Cancer Research
Background:
- Glioblastoma is a challenging brain cancer with limited treatment options.
- Photodynamic therapy (PDT) offers a light-mediated approach to cancer treatment.
- Nanoscale drug delivery systems can enhance PDT efficacy.
Purpose of the Study:
- To develop and evaluate natural photosensitizer-loaded lipid nanoparticles for glioblastoma treatment.
- To assess the in vitro and in vivo efficacy of this nanomedicine-based PDT approach.
- To investigate the impact on tumor viability, growth, and angiogenesis using the chorioallantois membrane (CAM) model.
Main Methods:
- Lipid nanoparticles loaded with curcumin or parietin were prepared using dual asymmetric centrifugation.
- Physicochemical characterization included dynamic light scattering, laser Doppler velocimetry, and atomic force microscopy.
- In vitro and in vivo evaluations were conducted on U87 glioblastoma xenografts on the CAM model, with imaging and histological analyses.
Main Results:
- Lipid nanoparticles demonstrated favorable physicochemical properties.
- In vitro studies confirmed cellular uptake, safety, and efficacy.
- In vivo studies on the CAM model showed reduced glioblastoma xenograft viability, growth, and angiogenesis following PDT with nanoparticles.
Conclusions:
- Natural photosensitizer-loaded lipid nanoparticles are a promising strategy for glioblastoma photodynamic therapy.
- The CAM model provides a suitable platform for evaluating nanomedicine-based cancer therapies.
- This approach holds potential for improving glioblastoma treatment outcomes by targeting tumor cells and vasculature.

