Issac Abraham Sybiya Vasantha Packiavathy, Arumugam Veera Ravi, Mary Nancy Immaculate, Dharmadhas Jeba Sweetly, Sundararaj Rajamanikandan, Devanesan Arul Ananth, Rajamanickam Ramachandran, Veerapandian Raja, John Bosco John Paul, Danaraj Jeyapragash
Division of Biotechnology, Karunya Institute of Technology and Sciences, Coimbatore 641 114, Tamil Nadu, India.
Department of Biotechnology, Alagappa University, Karaikudi 630 003, Tamil Nadu, India.
Life (Basel). 2024 Jun 21;14(7):785. doi: 10.3390/life14070785.
Biofilms play a decisive role in the infectious process and the development of antibiotic resistance. The establishment of bacterial biofilms is regulated by a signal-mediated cell-cell communication process called "quorum sensing" (QS). The identification of quorum sensing inhibitors (QSI) to mitigate the QS process may facilitate the development of novel treatment strategies for biofilm-based infections. In this study, the traditional medicinal plant was screened for QS inhibitory potential. Sub-MICs of the extract significantly affected the secretion of EPS in Gram-negative human pathogens such as , PAO1, , and , as well as aquaculture pathogens , , and , which render the bacteria more sensitive, leading to a loss of bacterial biomass from the substratum. The observed inhibitory activity of the extract might be attributed to the presence of eugenol, as evidenced through ultraviolet (UV)-visible, gas chromatography-mass spectroscopy (GC-MS), Fourier transformer infrared (FTIR) spectroscopy analyses, and computational studies. Additionally, the QSI potential of eugenol was corroborated through in vitro studies using the marker strain .
生物膜在感染过程和抗生素耐药性发展中起决定性作用。细菌生物膜的形成受一种称为“群体感应”(QS)的信号介导的细胞间通讯过程调控。鉴定群体感应抑制剂(QSI)以减轻QS过程可能有助于开发针对基于生物膜感染的新型治疗策略。在本研究中,对传统药用植物进行了QS抑制潜力筛选。提取物的亚抑菌浓度显著影响革兰氏阴性人类病原体如[具体病原体1]、PAO1、[具体病原体2]和[具体病原体3],以及水产养殖病原体[具体病原体4]、[具体病原体5]和[具体病原体6]中胞外聚合物(EPS)的分泌,这使细菌更敏感,导致细菌从基质中损失生物量。通过紫外可见光谱、气相色谱 - 质谱联用(GC - MS)、傅里叶变换红外光谱(FTIR)分析以及计算研究证明,观察到的[植物名称]提取物的抑制活性可能归因于丁香酚的存在。此外,通过使用标记菌株[具体菌株名称]的体外研究证实了丁香酚的QSI潜力。