State Key Laboratory of Bio-Control, School of Life Sciences, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Guangdong Key Laboratory of Pharmaceutical Functional Genes, Sun Yat-sen University, Guangzhou, China.
Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China.
Expert Rev Proteomics. 2024 Sep-Oct;21(9-10):377-386. doi: 10.1080/14789450.2024.2413439. Epub 2024 Oct 14.
Understanding the metabolic regulatory mechanisms leading to antibacterial resistance is important to develop effective control measures.
In this review, we summarize the progress on metabolic mechanisms of antibiotic resistance in clinically isolated bacteria, as revealed using proteomic approaches.
Proteomic approaches are effective tools for uncovering clinically significant bacterial metabolic responses to antibiotics. Proteomics can disclose the associations between metabolic proteins, pathways, and networks with antibiotic resistance, and help identify their functional impact. The mechanisms by which metabolic proteins control the four generally recognized resistance mechanisms (decreased influx and targets, and increased efflux and enzymatic degradation) are particularly important. The proposed mechanism of reprogramming proteomics via key metabolites to enhance the killing efficiency of existing antibiotics needs attention.
了解导致抗菌耐药性的代谢调节机制对于制定有效的控制措施非常重要。
在这篇综述中，我们总结了使用蛋白质组学方法揭示的临床分离细菌对抗生素耐药性的代谢机制方面的进展。
蛋白质组学方法是揭示抗生素耐药性临床相关细菌代谢反应的有效工具。蛋白质组学可以揭示代谢蛋白、途径和网络与抗生素耐药性之间的关联，并有助于确定它们的功能影响。代谢蛋白控制四种公认的耐药机制（减少流入和靶标，以及增加流出和酶降解）的机制尤为重要。通过关键代谢物重新编程蛋白质组以增强现有抗生素杀菌效率的提议机制值得关注。
