Nanolipid Formulations of Benzoporphyrin Derivative: Exploring the Dependence of Nanoconstruct Photophysics and Photochemistry on Their Therapeutic Index in Ovarian Cancer Cells
Year: 2018
Type: article
Abstract: With the rapidly emerging designs and applications of light‐activated, photodynamic therapy (PDT)‐based nanoconstructs, photonanomedicines (PNMs), an unmet need exists to establish whether conventional methods of photochemical and photophysical characterization of photosensitizers are relevant for evaluating new PNMs in order to intelligently guide their design. As a model system, we build on the clinical formulation of benzoporphyrin derivative (BPD), Visudyne®, by developing a panel of nanolipid formulations entrapping new lipidated chemical variants of BPD with differing chemical, photochemical and photophysical properties. These are 16:0 and 20:0 lysophosphocholine‐BPD (16:0/20:0 BPD‐PC), DSPE‐PEG‐BPD and BPD‐cholesterol. We show that Visudyne® was the most phototoxic formulation to OVCAR‐5 cells, and the least effective was liposomal DSPE‐PEG‐BPD. However, these differences did not match their optical, photophysical and photochemical properties, as the static BPD quenching was highest in Visudyne, which also exhibited the lowest generation of singlet oxygen. Furthermore, we establish that OVCAR‐5 cell phototoxicity also does not correlate with rates of photosensitizer photobleaching and fluorescence quantum yields in any nanolipid formulations. These findings warrant critical future studies into subcellular targets and molecular mechanisms of phototoxicity of photodynamic nanoconstructs, as more reliable prognostic surrogates for predicting efficacy to appropriately and intelligently guide their design.
Source: Photochemistry and Photobiology
DOI: 10.1111/php.13002
Institutions: Harvard University, Massachusetts General Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Institute of Biomedical Engineering, Chinese Academy of Medical Sciences, Wayne State University, Harvard–MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W2888027660
