Gingival carcinoma is a malignant neoplasm affecting the oral mucosa and is associated with significant morbidity and mortality. Allium ampeloprasum var. porrum water extracts have gotten a lot of attention because of their bioactive components, such as polyphenols, flavonoids, and alkaloids, which have a variety of pharmacological activities, including antiproliferative actions. This study aimed to evaluate the histological and molecular effects of Allium ampeloprasum (leek) water extract on the proliferation of the murine gingival cancer cell line. Histological evaluation was conducted to examine morphological changes induced by extract treatment. Molecular mechanisms underlying the observed histological changes were investigated using real-time polymerase chain reaction (PCR). Expression levels of key genes associated with cell proliferation and apoptosis were assessed. Histological findings revealed a dose-dependent decrease (100, 50, 25, 12.5, and 6.25 µg/ml) in cell density and altered cell shape in the treated cell line. Also, the percentage of inhibition for the oral mucosa cell line was high, with a significant P of 0.006, in the treated group compared to the control group. Additionally, water extract has an IC50 value of 61 g/ml. The P53 fold increment of gene expression is 0.6, which means the expression level in the experimental condition is 60% higher than the control. This study provides evidence for the potential antiproliferative activity of Allium ampeloprasum water extract on the oral mucosa cell line. The observed histological changes, coupled with the modulation of key genes involved in proliferation and apoptosis, suggest that leek water extract may have therapeutic implications in managing oral cancer.
In the ongoing series of our research, we prepared a new multifunctional azo-vanillin ligand (HL) and its Cu(II) complex to investigate their potential as versatile compounds for industrial/pharmaceutical purposes. Structural integrity was determined through spectroscopic analyses (FT-IR, NMR, Mass and UV-Vis), highlighting a distorted square planar geometry for the metal complex. The ligand was examined for its dyeing potential on wool and cotton with the latter showing better substantivity to cellulosic fibers and behaving as a good direct dye having excellent washing fastness. Furthermore, leveraging its surface-active properties, the ligand was tested as a green corrosion inhibitor for C-45 steel in a saline medium (3.5% NaCl) acr
... Show MoreThe removal of turbidity from produced water by chemical coagulation/flocculation method using locally available coagulants was investigated. Aluminum sulfate (alum) is selected as a primary coagulant, while calcium hydroxide (lime) is used as a coagulant aid. The performance of these coagulants was studied through jar test by comparing turbidity removal at different coagulant/ coagulants aid ratio, coagulant dose, water pH, and sedimentation time. In addition, an attempt has been made to examine the relationship between turbidity (NTU) and total suspended solids (mg/L) on the same samples of produced water. The best conditions for turbidity removal can be obtained at 75% alum+25% lime coagulant at coagulant dose of 80 m
... Show MoreThe current study was carried out to study a high injection dose of the ethanolic extract thymus vulgaris leaf (500 ug /Kg) against the immune response combination with partially purified extracted Lipopolysaccharide ( LPS) from Proteus mirablis.Study groups were included four groups; Group I :treated with normal saline. Group II : treated with LPS antigen, Group III: injected subcutaneously ((500 ug /Kg) from ethanolic extract thymus vulgaris, group IV : injected subcutaneously (500 ug /Kg) from ethanolic extract thymus vulgaris leaf and LPS antigen, the immunological assays were measured through the phagocytic activity as (non specific immunity) after day 8 by using the phagocytic activity index.After day I4 the lymphocyte proliferations
... Show MoreThe influx of data in bioinformatics is primarily in the form of DNA, RNA, and protein sequences. This condition places a significant burden on scientists and computers. Some genomics studies depend on clustering techniques to group similarly expressed genes into one cluster. Clustering is a type of unsupervised learning that can be used to divide unknown cluster data into clusters. The k-means and fuzzy c-means (FCM) algorithms are examples of algorithms that can be used for clustering. Consequently, clustering is a common approach that divides an input space into several homogeneous zones; it can be achieved using a variety of algorithms. This study used three models to cluster a brain tumor dataset. The first model uses FCM, whic
... Show MoreLO Hamza, Indian Journal of Natural Sciences, 2018 - Cited by 3
LO Hamza, NA Al-Mansor, J. Entomol. Zool. Studies, 2017 - Cited by 14