1. Design, optimization, characterization, and in vitro evaluation of metformin-loaded liposomes for triple negative breast cancer treatment.
- Author
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Vozgirdaite D, Hervé-Aubert K, Uzbekov R, Chourpa I, and Allard-Vannier E
- Subjects
- Humans, Female, Drug Liberation, Cell Line, Tumor, Particle Size, Drug Screening Assays, Antitumor, Cell Survival drug effects, Drug Design, Liposomes chemistry, Metformin chemistry, Metformin administration & dosage, Metformin pharmacology, Triple Negative Breast Neoplasms drug therapy, Triple Negative Breast Neoplasms pathology, Antineoplastic Agents pharmacology, Antineoplastic Agents administration & dosage, Antineoplastic Agents chemistry, Cell Proliferation drug effects
- Abstract
Recently, metformin (Met) has shown to have antineoplastic properties in cancer treatment by improving hypoxic tumor conditions, and causing reduction in the synthesis of biomolecules, which are vital for cancer growth. However, as an orally administered drug, Met has low bioavailability and rapid renal clearance. Thus, the goal of this study was to vectorize Met inside liposomes in the context of triple negative breast cancer (TNBC), which currently lacks treatment options when compared to other types of breast cancer. Vectorization of Met inside liposomes was done using Bangham method by implementing double design of experiment methodology to increase Met drug loading (minimum-run resolution V characterization design and Box-Behnken design), as it is generally extremely low for hydrophilic molecules. Optimization of Met-loaded liposome synthesis was successfully achieved with drug loading of 190 mg/g (19% w/w ). The optimal Met-liposomes were 170 nm in diameter with low PdI (< 0.1) and negative surface charge (-20 mV), exhibiting sustained Met release at pH 7.4. The liposomal Met delivery system was stable over several months, and successfully reduced TNBC cell proliferation due to the encapsulated drug. This study is one the first reports addressing liposome formulation through thin-film hydration using two design of experiment methods aiming to increase drug loading of Met.
- Published
- 2024
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