Effects of different mechanisms on antimicrobial resistance in Pseudomonas aeruginosa: a strategic system for evaluating antibiotics against gram-negative bacteria.

IF 3.7 2区 生物学 Q2 MICROBIOLOGY
Microbiology spectrum Pub Date : 2025-04-01 Epub Date: 2025-03-05 DOI:10.1128/spectrum.02418-24
Yu-Kuo Tsai, Jen-Chang Chang, Jia-Je Li, Esther Yip-Mei Liu, Chang-Phone Fung, Ching-Hsun Wang, Feng-Yee Chang, Jung-Chung Lin, L Kristopher Siu
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引用次数: 0

Abstract

Our previous studies constructed a strategic system for testing antibiotics against specific resistance mechanisms using Klebsiella pneumoniae and Acinetobacter baumannii. However, it lacked resistance mechanisms specifically expressed only in Pseudomonas species. In this study, we constructed this system using Pseudomonas aeruginosa. In-frame deletion, site-directed mutagenesis, and plasmid transformation were used to generate genetically engineered strains with various resistance mechanisms from two fully susceptible P. aeruginosa strains. Antimicrobial susceptibility testing was used to test the efficacy of antibiotics against these strains in vitro. A total of 31 engineered strains with various antimicrobial resistance mechanisms from P. aeruginosa KPA888 and ATCC 27853 were constructed, and the same antibiotic resistance mechanism showed a similar effect on the MICs of the two strains. Compared to the parental strains, the engineered strains lacking porin OprD or lacking the regulator genes of efflux pumps all showed a ≥4-fold increase on the MICs of some of the 19 antibiotics tested. Mechanisms due to GyrA/ParC mutations and β-lactamases also contributed to their corresponding resistance as previously published. The strains constructed in this study possess well-defined resistance mechanisms and can be used to screen and evaluate the effectiveness of antibiotics against specific resistance mechanisms in P. aeruginosa. Building upon our previous studies on K. pneumoniae and A. baumannii, this strategic system, including a P. aeruginosa panel, has been expanded to cover almost all the important antibiotic resistance mechanisms of gram-negative bacteria that are in urgent need of new antibiotics.IMPORTANCEIn this study, an antibiotic assessment system for P. aeruginosa was developed, and the system can be expanded to include other key pathogens and resistance mechanisms. This system offers several benefits: (i) compound design: aid in the development of compounds that can bypass or counteract resistance mechanisms, leading to more effective treatments against specific resistant strains; (ii) combination therapies: facilitate the exploration of combination therapies, where multiple antibiotics may work synergistically to overcome resistance and enhance treatment efficacy; and (iii) targeted treatments: enable healthcare providers to prescribe more targeted treatments, reducing unnecessary antibiotic use and helping to slow the spread of antibiotic resistance. In summary, this system could streamline the development process, reduce costs, increase the success rate of new antibiotics, and help prevent and control antimicrobial resistance.

不同机制对铜绿假单胞菌耐药性的影响:一种评估抗生素抗革兰氏阴性菌的策略系统。
我们之前的研究构建了一个针对肺炎克雷伯菌和鲍曼不动杆菌特异性耐药机制测试抗生素的策略系统。然而,它缺乏仅在假单胞菌中特异性表达的耐药机制。本研究以铜绿假单胞菌为原料构建了该系统。利用框架内缺失、位点定向诱变和质粒转化,从两株完全易感的铜绿假单胞菌菌株中产生具有不同耐药机制的基因工程菌株。采用体外药敏试验检测抗生素对这些菌株的抑菌效果。共构建铜绿假单胞菌KPA888和ATCC 27853具有不同耐药机制的工程菌株31株,具有相同的耐药机制,对两株菌株的mic具有相似的影响。与亲本菌株相比,缺乏孔蛋白OprD或缺乏外排泵调节基因的工程菌株对19种抗生素的mic均升高≥4倍。如前所述,GyrA/ParC突变和β-内酰胺酶引起的机制也有助于其相应的耐药。本研究构建的菌株具有明确的耐药机制,可用于筛选和评价抗生素对铜绿假单胞菌特定耐药机制的有效性。在我们之前对肺炎克雷伯菌和鲍曼假单胞菌研究的基础上,这一战略系统,包括铜绿假单胞菌小组,已经扩展到几乎涵盖所有迫切需要新抗生素的革兰氏阴性菌的重要抗生素耐药机制。本研究建立了铜绿假单胞菌(P. aeruginosa)的抗生素评估系统,该系统可扩展到包括其他关键病原体和耐药机制。该系统提供了几个好处:(i)化合物设计:有助于开发可以绕过或抵消耐药机制的化合物,从而对特定耐药菌株进行更有效的治疗;(ii)联合治疗:促进探索联合治疗,多种抗生素可以协同作用,克服耐药性,提高治疗效果;(三)有针对性的治疗:使医疗保健提供者能够开出更有针对性的治疗处方,减少不必要的抗生素使用,并帮助减缓抗生素耐药性的蔓延。综上所述,该系统可以简化开发流程,降低成本,提高新抗生素的成功率,并有助于预防和控制抗生素耐药性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Microbiology spectrum
Microbiology spectrum Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.20
自引率
5.40%
发文量
1800
期刊介绍: Microbiology Spectrum publishes commissioned review articles on topics in microbiology representing ten content areas: Archaea; Food Microbiology; Bacterial Genetics, Cell Biology, and Physiology; Clinical Microbiology; Environmental Microbiology and Ecology; Eukaryotic Microbes; Genomics, Computational, and Synthetic Microbiology; Immunology; Pathogenesis; and Virology. Reviews are interrelated, with each review linking to other related content. A large board of Microbiology Spectrum editors aids in the development of topics for potential reviews and in the identification of an editor, or editors, who shepherd each collection.
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