Niosomes nanoparticles as a novel approach in drug delivery enhances anticancer properties of chrysin in human ovarian carcinoma cells (SKOV3): an in vitro study.
Mahdieh TarahomiAkram Firouzi AmandiMajid EslamiYalda YazdaniAmir Salek FarrokhiFatemeh GhorbaniMohammadhossein TaherianBahman YousefiPublished in: Medical oncology (Northwood, London, England) (2023)
Chrysin (Chr) has drawn a lot of attention recently due to its possible anticancer properties. However, Chr's short half-life and low bioavailability restricted its utility as a medicinal agent. The purpose of this research is to design, synthesize, and test the cytotoxic effects of nano-niosomes containing chrysin (Chr-Nio) on the SKOV3 ovarian cancer cell line. Chr-Nio has a nanoparticle polydispersity index (PDI) of 0.156 and a zeta potential of - 27.4 mV, with an average diameter of 105 nm. Furthermore, Chr was encapsulated in Nio with an entrapment effectiveness of 85.5%. Chr-Nio cytotoxicity was shown to be more than free Chr in a time- and dose-dependent manner. Furthermore, as compared to free Chr-treated cells, the mRNA expression level of apoptotic genes Bcl-2, Bax, and caspase-3 in Chr-Nio-treated cells was considerably altered. According to the data, Chr may inhibit SKOV3 cell migration in vitro scratch wound experiments in a dose-dependent manner, and cells treated with Chr-Nio had the highest percentage of cell death. The findings of this study suggested that encapsulating Chr in niosome nanoparticles might be an effective medication delivery strategy for increasing Chr anticancer effects in the treatment of ovarian cancer.
Keyphrases
- cell death
- induced apoptosis
- cell cycle arrest
- drug delivery
- healthcare
- cell migration
- endoplasmic reticulum stress
- randomized controlled trial
- systematic review
- signaling pathway
- endothelial cells
- machine learning
- photodynamic therapy
- cell proliferation
- working memory
- electronic health record
- transcription factor
- climate change
- drug induced
- surgical site infection
- bioinformatics analysis