Impact of gold nanoparticles shape on their cytotoxicity against human osteoblast and osteosarcoma in in vitro model: evaluation of the safety of use and anti-cancer potential
Karol P. Steckiewicz , Ewelina Barcińska , Anna Malankowska , Agata Zauszkiewicz-Pawlak , Grzegorz Nowaczyk , Adriana Zaleska-Medynska , Iwona Inkielewicz-Stepniak
AbstractDue to development of nanotechnology and gold nanoparticles (AuNPs) increasing use in different areas of medicine, especially in oncology, better understanding of their potential cytotoxicity is necessary to protect patients safety. Shape and size of AuNPs is an important modulator of their cytotoxicity. Therefore, we investigated the cytotoxicity of AuNPs rods (≈39 nm length, 18 nm width), AuNPs stars (≈ 215 nm) and AuNPs spheres (≈ 6.3 nm) against human fetal osteoblast (hFOB 1.19), osteosarcoma (143B, MG63) and pancreatic duct cell (hTERT-HPNE) lines by MTT and neutral-red uptake assay. Moreover, influence of AuNPs on level of proapoptotic protein (Bax) and anti-apoptotic protein (Bcl-2) was measured by western blot. Cellular uptake of nanoparticles and ultrastructure changes were examined by transmission electron microscopy (TEM). In the present study we have proven that AuNPs stars are the most cytotoxic against human cells. We observed that cancer cells are more susceptible to AuNPs cytotoxic effect. Furthermore, AuNPs rods and AuNPs stars caused increased expression of Bax and decreased expression of Bcl-2 protein in osteosarcoma cells. We found that AuNPs penetrated through the cell membrane and caused ultrastructural changes. Our results clearly demonstrated that the cytotoxicity of AuNPs was shape-dependent. AuNPs stars with the highest anti-cancer potential were also the most cytotoxic type of tested NPs, whereas AuNPs spheres which appears to be the safest one had small anti-cancer potential.
|Journal series||Journal of Materials Science-Materials in Medicine, ISSN 0957-4530, (A 30 pkt)|
|Publication size in sheets||0.7|
|License||Other; published final; ; with publication|
|Score|| = 30.0, ArticleFromJournal|
= 30.0, ArticleFromJournal
|Publication indicators||: 2017 = 2.448 (2) - 2017=2.746 (5)|
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