Targeting Acinetobacter baumannii lipase by coniferous species through metabolomics supported approach

利用代谢组学方法研究针叶树种对鲍曼不动杆菌脂肪酶的靶向作用

阅读:1

Abstract

The opportunistic pathogen Acinetobacter baumannii is a particularly problematic nosocomial threat worldwide, leading to high morbidity and mortality rates due to its multiple resistance mechanisms, including the production of lipolytic enzymes. Herein, the aerial parts of three coniferous plants, Pinus canariensis C. Sm. (PC), Cupressus lusitanica Mill. (CL), and Cupressus arizonica Greene. (CA), were extracted and fractionated. Among these, the CA extract followed by CL and then PC, exhibited the highest inhibition of bacterial lipase activity, with half-maximal inhibitory concentration (IC(50)) values of 1117 ± 87, 1278 ± 62, and 1926 ± 104 µg/mL, respectively. The methylene chloride fractions of CA and CL extracts exhibited the highest inhibition of bacterial lipase activity, with IC(50) (940 ± 25 µg/mL and 1103 ± 155 µg/mL), respectively. The metabolite profile of the three extracts, along with their most active fractions, were determined using liquid chromatography-quadrupole-time-of-flight tandem mass spectrometry (LC-QTOF-MS/MS). Interestingly, the metabolite profiles of CL extracts were established here for the first time. A total of 99 secondary metabolites from diverse classes were identified across all samples. Among these, four metabolites were isolated: 3,5-di-p-coumaroylquinic acid, epicatechin, cupressuflavone, and rutin. The biflavonoid cupressuflavone showed the lowest IC(50) value (3812 ± 450 µg/mL). Additionally, partial least squares was applied to assess the key metabolites contributing to the differentiation of the studied bioactivity. Consequently, this study provides novel insights into the bioactivity potential of coniferous plants, demonstrating their value as a natural source of antivirulence agents against the A. baumannii lipase enzyme.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。