Tsai Yu-Kuo, Chang Jen-Chang, Li Jia-Je, Liu Esther Yip-Mei, Fung Chang-Phone, Wang Ching-Hsun, Chang Feng-Yee, Lin Jung-Chung, Siu L Kristopher
KeMyth Biotech Company, Incubation Center, National Health Research Institutes, Miaoli, Taiwan.
National Institute of Infectious Diseases and Vaccinology, National Health Research Institutes, Miaoli, Taiwan.
Microbiol Spectr. 2025 Apr;13(4):e0241824. doi: 10.1128/spectrum.02418-24. Epub 2025 Mar 5.
Our previous studies constructed a strategic system for testing antibiotics against specific resistance mechanisms using and . However, it lacked resistance mechanisms specifically expressed only in species. In this study, we constructed this system using . In-frame deletion, site-directed mutagenesis, and plasmid transformation were used to generate genetically engineered strains with various resistance mechanisms from two fully susceptible 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 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 . Building upon our previous studies on and , this strategic system, including a 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 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.
我们之前的研究构建了一个利用[具体内容1]和[具体内容2]针对特定耐药机制测试抗生素的策略系统。然而,它缺乏仅在[细菌种类]中特异性表达的耐药机制。在本研究中,我们利用[具体内容3]构建了该系统。通过框内缺失、定点诱变和质粒转化,从两株完全敏感的[细菌名称]菌株中产生了具有各种耐药机制的基因工程菌株。采用抗菌药物敏感性试验在体外测试抗生素对这些菌株的疗效。共构建了31株来自[细菌名称]KPA888和ATCC 27853的具有各种抗菌耐药机制的工程菌株,相同的抗生素耐药机制对两株菌株的最低抑菌浓度(MIC)显示出相似的影响。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所测试的19种抗生素中的一些抗生素的MIC均显示出≥4倍的增加。如先前发表的那样,由GyrA/ParC突变和β-内酰胺酶引起的机制也导致了相应的耐药性。本研究构建的菌株具有明确的耐药机制,可用于筛选和评估抗生素针对[细菌种类]中特定耐药机制的有效性。基于我们之前对[相关研究内容1]和[相关研究内容2]的研究,这个包括[菌株组]的策略系统已得到扩展,以涵盖几乎所有急需新型抗生素的革兰氏阴性菌的重要抗生素耐药机制。
重要性
在本研究中,开发了一种针对[细菌种类]的抗生素评估系统,并且该系统可以扩展到包括其他关键病原体和耐药机制。该系统具有以下几个优点:(i)化合物设计:有助于开发能够绕过或对抗耐药机制的化合物,从而对特定耐药菌株进行更有效的治疗;(ii)联合疗法:便于探索联合疗法,其中多种抗生素可能协同作用以克服耐药性并提高治疗效果;(iii)靶向治疗:使医疗保健提供者能够开出更具针对性的治疗方案,减少不必要的抗生素使用,并有助于减缓抗生素耐药性的传播。总之,该系统可以简化开发过程,降低成本,提高新型抗生素的成功率,并有助于预防和控制抗菌药物耐药性。