Browsing by Author "Oprić, Dejan (6506600388)"

BACKGROUND: Natural products and their derivatives, particularly secondary metabolites, have been recognized for many years as an important source of therapeutic agents. In this context, pentacyclic triterpene acids including betulinic acid (BA), oleanolic acid (OA), and ursolic acid (UA) are highly valuable triterpenic acids because of their wide range of biological activities. AIM: Therefore, the aim of our study was to investigate any potential effect of BA, UA, and OA on human melanoma WM-266-4 cells’ proliferation activity. METHODS: BA, UA, and OA have been prepared in dimethyl sulfoxide in concentration range from 0.002 to 200 μM separately or in selected combination (UA+OA ratio 1:1 or 3.5:1), while cells in cell culture medium served as controls. The rapid colorimetric MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyl tetrazolium bromide) assay was used to measure proliferation activity of the metastatic melanoma cell line WM-266-4 after being exposed to selected concentrations of BA, UA, OA, or UA+OA and during different time periods. Student’s t-test was used for single statistical comparisons. Data were analyzed using IBM SPSS 25.0 (IBM Corp., Armonk, NY). To account for multiple comparisons bias, p < 0.001 was considered statistically significant. RESULTS: Our results showed decreased cell proliferation activity after 4 h of incubation of WM-266-4 cells with BA, UA, OA, and UA+OA. The highest inhibitory effect was noted when cells were incubated with selected triterpenic acids and both combinations of UA+OA during the incubation period of 48 h. When compared to control cells, concentration of 2 μM was the lowest concentration of BA that showed a significant decrease of the cells’ proliferation activity regardless the incubation period (4 h, 24 h, and 48 h) (p < 0.001). CONCLUSION: Our encouraging results could be a good starting point for further studies on possible use of BA, UA, and OA in prevention and treatment of metastatic melanoma. © 2021 Suzana Isaković-Vidović, Barbara Dariš, Željko Knez, Kristina Vidović, Dejan Oprić, Polonca Ferk.

Objective: Inflammation is a biological response of tissue to harmful stimuli. A high-fat diet was linked to low-grade chronic liver inflammation, which can further lead to more severe health conditions. It is crucial to assess the intensity of inflammation and structural tissue changes to reduce the subjective judgment by the examiner. We propose fractal-based methods for early-stage low-degree liver inflammation grading. Methods: We have randomly divided 40 C57BL/6 female mice into four groups (control, linseed oil, palm oil, sunflower oil). After 100 days, animals were euthanized, and liver tissue collected for analyses. We performed calculations of fractal dimension, fractal lacunarity, multifractal spectra, local fractal dimension, and particle metrics, applicable to tissue segmentation and grading. Results: Pathohistological analysis of some liver tissue showed a low-grade inflammatory infiltrate around the portal vein of experimental groups subjected to different high-fat diets. Differences in fractal dimension and lacunarity of the inflamed tissue were, in most cases, statistically significant between the high-fat diet groups. Both the observed intensity and area of inflammation were lowest for the sunflower oil. The results of standard fractal analysis, local fractal analysis, and particle analysis were in an excellent agreement. Conclusions: This study demonstrated the efficiency of the fractal analysis based tools in the quantification of complexity and early-stage structural changes in inflamed liver tissue, which could potentially be used in the diagnostic workup of inflammation in the liver. The presented methods could be implemented within a wider scope computer-aided diagnostics system in a very straightforward manner. © 2020 Elsevier Ltd

Objective: Inflammation is a biological response of tissue to harmful stimuli. A high-fat diet was linked to low-grade chronic liver inflammation, which can further lead to more severe health conditions. It is crucial to assess the intensity of inflammation and structural tissue changes to reduce the subjective judgment by the examiner. We propose fractal-based methods for early-stage low-degree liver inflammation grading. Methods: We have randomly divided 40 C57BL/6 female mice into four groups (control, linseed oil, palm oil, sunflower oil). After 100 days, animals were euthanized, and liver tissue collected for analyses. We performed calculations of fractal dimension, fractal lacunarity, multifractal spectra, local fractal dimension, and particle metrics, applicable to tissue segmentation and grading. Results: Pathohistological analysis of some liver tissue showed a low-grade inflammatory infiltrate around the portal vein of experimental groups subjected to different high-fat diets. Differences in fractal dimension and lacunarity of the inflamed tissue were, in most cases, statistically significant between the high-fat diet groups. Both the observed intensity and area of inflammation were lowest for the sunflower oil. The results of standard fractal analysis, local fractal analysis, and particle analysis were in an excellent agreement. Conclusions: This study demonstrated the efficiency of the fractal analysis based tools in the quantification of complexity and early-stage structural changes in inflamed liver tissue, which could potentially be used in the diagnostic workup of inflammation in the liver. The presented methods could be implemented within a wider scope computer-aided diagnostics system in a very straightforward manner. © 2020 Elsevier Ltd