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从天然产物数据库中鉴定出五种结构上不相关的铜绿假单胞菌群体感应抑制剂。

Identification of five structurally unrelated quorum-sensing inhibitors of Pseudomonas aeruginosa from a natural-derivative database.

机构信息

Singapore Centre on Environmental Life Sciences Engineering (SCELSE), Nanyang Technological University, Singapore.

出版信息

Antimicrob Agents Chemother. 2013 Nov;57(11):5629-41. doi: 10.1128/AAC.00955-13. Epub 2013 Sep 3.

Abstract

Bacteria communicate by means of small signal molecules in a process termed quorum sensing (QS). QS enables bacteria to organize their activities at the population level, including the coordinated secretion of virulence factors. Certain small-molecule compounds, known as quorum-sensing inhibitors (QSIs), have been shown to effectively block QS and subsequently attenuate the virulence of Pseudomonas aeruginosa, as well as increasing its susceptibility to both antibiotics and the immune system. In this study, a structure-based virtual screening (SB-VS) approach was used for the discovery of novel QSI candidates. Three-dimensional structures of 3,040 natural compounds and their derivatives were obtained, after which molecular docking was performed using the QS receptor LasR as a target. Based on docking scores and molecular masses, 22 compounds were purchased to determine their efficacies as quorum-sensing inhibitors. Using a live reporter assay for quorum sensing, 5 compounds were found to be able to inhibit QS-regulated gene expression in P. aeruginosa in a dose-dependent manner. The most promising compound, G1, was evaluated by isobaric tag for relative and absolute quantitation (iTRAQ)-based proteomic analysis, and it was found to significantly affect the abundance of 46 proteins (19 were upregulated; 27 were downregulated) in P. aeruginosa PAO1. It specifically reduced the expression of several quorum-sensing-regulated virulence factors, such as protease IV, chitinase, and pyoverdine synthetases. G1 was also able to reduce extracellular DNA release and inhibited the secretion of the virulence factor, elastase, whose expression is regulated by LasR. These results demonstrate the utility of SB-VS for the discovery of target-specific QSIs.

摘要

细菌通过称为群体感应 (QS) 的过程,利用小分子信号分子进行通讯。QS 使细菌能够在群体水平上组织其活动,包括毒力因子的协调分泌。某些小分子化合物,称为群体感应抑制剂 (QSIs),已被证明可有效阻断 QS,从而降低铜绿假单胞菌的毒力,并增加其对抗生素和免疫系统的敏感性。在这项研究中,使用基于结构的虚拟筛选 (SB-VS) 方法来发现新型 QSI 候选物。获得了 3040 种天然化合物及其衍生物的三维结构,然后使用 QS 受体 LasR 作为靶标进行分子对接。基于对接得分和分子量,购买了 22 种化合物以确定它们作为群体感应抑制剂的功效。使用群体感应的活报告基因测定法,发现 5 种化合物能够以剂量依赖的方式抑制铜绿假单胞菌中 QS 调节的基因表达。最有前途的化合物 G1 通过基于等重标记相对和绝对定量 (iTRAQ) 的蛋白质组学分析进行评估,结果发现它显著影响铜绿假单胞菌 PAO1 中 46 种蛋白质的丰度(19 种上调;27 种下调)。它特别降低了几种群体感应调节的毒力因子的表达,如蛋白酶 IV、几丁质酶和吡咯并啉合成酶。G1 还能够减少细胞外 DNA 的释放,并抑制由 LasR 调节表达的毒力因子弹性蛋白酶的分泌。这些结果表明 SB-VS 可用于发现针对特定靶标的 QSIs。

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Identification of LasR ligands through a virtual screening approach.通过虚拟筛选方法鉴定 LasR 配体。
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