Antitumor Effects of Microencapsulated Gratiola officinalis Extract on Breast Carcinoma and Human Cervical Cancer Cells In Vitro.
Nikita A NavolokinMaria V LomovaAlla B BucharskayaOlga GodageNatalya PolukonovaAlexander A ShirokovVyacheslav GrinevGalina MaslyakovaPublished in: Materials (Basel, Switzerland) (2023)
Flavonoid-containing Gratiola officinalis extract has been studied in relation to breast carcinoma and human cervical cancer cells in encapsulated and native form. Encapsulation was realized in polymer shells, which were formed by the layer-by-layer method using sequential adsorption of poly(allylamine hydrochloride) and poly(sodium 4-styrenesulfonate) on the destructible cores. The extract was prepared by the author's method and characterized using high performance liquid chromatography. By means of optical and fluorescent microscopy, cell changes under the action of pure and encapsulated extracts were comprehensively studied, and statistical analysis was carried out. Cells were stained with propidium iodide, acridine orange, and Hoechst 33258. A fluorescence microscope with a digital video camera were used for cell imaging. The encapsulated extract caused 100% death of breast cancer SKBR-3 cells and 34% death of cervical cancer HeLa cells and prevented the formation of autophagosomes in both cultures. Analysis of the viability and morphological features of tumor cells under the action of microencapsulated extract allows us to consider microencapsulation as an effective strategy for delivering Gratiola officinalis extract to tumor cells and a promising way to overcome the protective autophagy.
Keyphrases
- induced apoptosis
- oxidative stress
- cell cycle arrest
- high performance liquid chromatography
- endothelial cells
- anti inflammatory
- high resolution
- cell death
- endoplasmic reticulum stress
- single cell
- high speed
- signaling pathway
- cell therapy
- simultaneous determination
- machine learning
- quantum dots
- photodynamic therapy
- high throughput
- optical coherence tomography
- living cells
- deep learning
- convolutional neural network
- bone marrow
- ms ms
- cell proliferation
- essential oil
- fluorescent probe