Suppr超能文献

法尼醇存在下白色念珠菌和变形链球菌生物膜的形成:定量评估

Biofilm formation by Candida albicans and Streptococcus mutans in the presence of farnesol: a quantitative evaluation.

作者信息

Fernandes Renan Aparecido, Monteiro Douglas Roberto, Arias Laís Salomão, Fernandes Gabriela Lopes, Delbem Alberto Carlos Botazzo, Barbosa Debora Barros

机构信息

a Department of Pediatric Dentistry and Public Health , Aracatuba Dental School , UNESP , Araçatuba/São Paulo , Brazil.

b Department of Dental Materials and Prosthodontics , Aracatuba Dental School , UNESP , Araçatuba/São Paulo , Brazil.

出版信息

Biofouling. 2016;32(3):329-38. doi: 10.1080/08927014.2016.1144053.

Abstract

The aim of this study was to evaluate the effect of the QS molecule farnesol on single and mixed species biofilms formed by Candida albicans and Streptococcus mutans. The anti-biofilm effect of farnesol was assessed through total biomass quantification, counting of colony forming units (CFUs) and evaluation of metabolic activity. Biofilms were also analyzed by scanning electron microscopy (SEM). It was observed that farnesol reduced the formation of single and mixed biofilms, with significant reductions of 37% to 90% and 64% to 96%, respectively, for total biomass and metabolic activity. Regarding cell viability, farnesol treatment promoted significant log reductions in the number of CFUs, ie 1.3-4.2 log10 and 0.67-5.32 log10, respectively, for single and mixed species biofilms. SEM images confirmed these results, showing decreases in the number of cells in all biofilms. In conclusion, these findings highlight the role of farnesol as an alternative agent with the potential to reduce the formation of pathogenic biofilms.

摘要

本研究的目的是评估QS分子法尼醇对白色念珠菌和变形链球菌形成的单一和混合菌种生物膜的影响。通过总生物量定量、菌落形成单位(CFU)计数和代谢活性评估来测定法尼醇的抗生物膜效果。还通过扫描电子显微镜(SEM)对生物膜进行分析。观察到法尼醇减少了单一和混合生物膜的形成,总生物量和代谢活性分别显著降低了37%至90%和64%至96%。关于细胞活力,法尼醇处理使单一和混合菌种生物膜的CFU数量分别显著对数减少,即1.3 - 4.2 log10和0.67 - 5.32 log10。SEM图像证实了这些结果,显示所有生物膜中的细胞数量减少。总之,这些发现突出了法尼醇作为一种具有减少致病性生物膜形成潜力的替代剂的作用。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验