Understanding metabolic resistance strategy of clinically isolated antibiotic-resistant bacteria by proteomic approach.

IF 3.8 3区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Expert Review of Proteomics Pub Date : 2024-09-01 Epub Date: 2024-10-14 DOI:10.1080/14789450.2024.2413439
Bo Peng, Hui Li, Xuanxian Peng
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引用次数: 0

Abstract

Introduction: Understanding the metabolic regulatory mechanisms leading to antibacterial resistance is important to develop effective control measures.

Areas covered: In this review, we summarize the progress on metabolic mechanisms of antibiotic resistance in clinically isolated bacteria, as revealed using proteomic approaches.

Expert opinion: 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.

通过蛋白质组学方法了解临床分离的抗生素耐药细菌的代谢耐药策略。
简介:了解导致抗菌药耐药性的代谢调节机制对制定有效的控制措施非常重要:了解导致抗菌药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,我们总结了利用蛋白质组学方法揭示临床分离细菌耐药性代谢机制的进展:专家观点:蛋白质组学方法是揭示临床上细菌对抗生素的重要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。代谢蛋白控制公认的四种抗药性机制(减少流入和靶向、增加流出和酶降解)的机制尤为重要。通过关键代谢物对蛋白质组学进行重编程以提高现有抗生素杀灭效率的拟议机制需要关注。
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来源期刊
Expert Review of Proteomics
Expert Review of Proteomics 生物-生化研究方法
CiteScore
7.60
自引率
0.00%
发文量
20
审稿时长
6-12 weeks
期刊介绍: Expert Review of Proteomics (ISSN 1478-9450) seeks to collect together technologies, methods and discoveries from the field of proteomics to advance scientific understanding of the many varied roles protein expression plays in human health and disease. The journal coverage includes, but is not limited to, overviews of specific technological advances in the development of protein arrays, interaction maps, data archives and biological assays, performance of new technologies and prospects for future drug discovery. The journal adopts the unique Expert Review article format, offering a complete overview of current thinking in a key technology area, research or clinical practice, augmented by the following sections: Expert Opinion - a personal view on the most effective or promising strategies and a clear perspective of future prospects within a realistic timescale Article highlights - an executive summary cutting to the author''s most critical points.
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