谷歌浏览器插件
订阅小程序
在清言上使用

Nanoemulsion of Cinnamon Oil to Combat Colistin-Resistant Klebsiella Pneumoniae and Cancer Cells

Microbial pathogenesis(2024)

引用 0|浏览3
暂无评分
摘要
This study aimed to investigate the potential of cinnamon oil nanoemulsion (CONE) as an antibacterial agent against clinical strains of colistin-resistant Klebsiella pneumoniae and its anticancer activity. The prepared and characterized CONE was found to have a spherical shape with an average size of 70.6 ± 28.3 nm under TEM and a PDI value of 0.076 and zeta potential value of 6.9 mV using DLS analysis. The antibacterial activity of CONE against Klebsiella pneumoniae strains was investigated, and it was found to have higher inhibitory activity (18.3±1.2 -30.3±0.8 mm) against the tested bacteria compared to bulk cinnamon oil (14.6±0.88- 20.6±1.2) with MIC values ranging from 0.077 to 0.31% v/v which equivalent to 0.2 – 0.82 ng/ml of CONE. CONE inhibited the growth of bacteria in a dose and time-dependent manner based on the time-kill assay in which Klebsiella pneumoniae B-9 was used as a model among the bacterial strains under investigation. The study also investigated the expression of the mcr-1 gene in the Klebsiella pneumoniae strains and found that all strains were positive for the gene expression and subsequently its presence. The level of mcr-1 gene expression among the B-2, B-4, B-9, and B-11 control strains and that treated with colistin was similar, but it was different in both B-5 and B-2. However, all strains exhibited a significant downregulation in gene expression (ranging from 3.97 to 8.7-fold) after their treatment with CONE. Additionally, the CONE-treated bacterial cells appeared with a great deformation compared with control cells under TEM. Finally, CONE exhibited selective toxicity against different cancer cell lines depending on comparison with the normal cell lines.
更多
查看译文
关键词
Colistin-resistant Klebsiella pneumoniae,Cinnamon oil nanoemulsion,Antibacterial activity,Time killassay-mcr-1 gene,Cytotoxicity-anticancer
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要