Mengshi Zhao, Hongru Li, Dehao Gan, Mengzhu Wang, Hui Deng, Qiu E Yang
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引用次数: 0
摘要
全球抗生素耐药性的上升再次激发了人们对噬菌体疗法的兴趣,它可以替代抗生素消灭耐多药(MDR)细菌病原体。然而,优化噬菌体疗法的广谱疗效仍是一项挑战。在这项研究中,我们针对这一问题采用了一些策略,以提高噬菌体疗法对耐多药肺炎克雷伯菌株的抗菌效力。这包括选择广泛宿主范围的噬菌体、优化噬菌体配方以及与最后的抗生素联合使用。我们的研究结果表明,宿主范围广是分离出的噬菌体的主要特征,增加噬菌体数量并与抗生素结合使用可显著增强对细菌生长的抑制作用。细菌感染率降低的原因是病原体密度降低和细菌抗药性的出现。此外,噬菌体-抗生素协同作用(PAS)对不同支系的临床 MDR 肺炎克氏病原体具有相当大的广谱抗菌潜力。在小鼠模型中,优化 PAS 的治疗效果也得到了明显改善,接受优化 PAS 治疗的小鼠在小鼠组织中的细菌负荷减少。综上所述,这些发现为优化 PAS 疗法及其消除 MDR 肺炎克氏病原体的疗效提供了重要进展:抗菌药耐药性(AMR)在全球的蔓延给全球公共卫生带来了巨大挑战。噬菌体疗法已成为对付难治病原体的一种有前途的替代疗法。本研究的一个重要目标是优化噬菌体-抗生素组合的治疗效率,即噬菌体-抗生素协同作用(PAS)。通过全面分析大量 CRKp 特异性噬菌体的表型和基因型特征,我们建立了噬菌体鸡尾酒组合的系统模型。重要的是,我们的研究结果表明,PAS疗法不仅能在体外和体内增强可乐定和替加环素对耐多药(MDR)肺炎克氏菌菌株的杀菌效果,还能在抗生素失效时提供强有力的反应。总之,优化后的 PAS疗法在抗击多种肺炎克氏菌病原体方面具有相当大的潜力,突出了其作为一种有效缓解抗生素耐药性威胁的策略的相关性。
Antibacterial effect of phage cocktails and phage-antibiotic synergy against pathogenic Klebsiella pneumoniae.
The global rise of antibiotic resistance has renewed interest in phage therapy, as an alternative to antibiotics to eliminate multidrug-resistant (MDR) bacterial pathogens. However, optimizing the broad-spectrum efficacy of phage therapy remains a challenge. In this study, we addressed this issue by employing strategies to improve antimicrobial efficacy of phage therapy against MDR Klebsiella pneumoniae strains, which are notorious for their resistance to conventional antibiotics. This includes the selection of broad host range phages, optimization of phage formulation, and combinations with last-resort antibiotics. Our findings unveil that having a broad host range was a dominant trait of isolated phages, and increasing phage numbers in combination with antibiotics significantly enhanced the suppression of bacterial growth. The decreased incidence of bacterial infection was explained by a reduction in pathogen density and emergence of bacterial resistance. Furthermore, phage-antibiotic synergy (PAS) demonstrated considerable broad-spectrum antibacterial potential against different clades of clinical MDR K. pneumoniae pathogens. The improved treatment outcomes of optimized PAS were also evident in a murine model, where mice receiving optimized PAS therapy demonstrated a reduced bacterial burden in mouse tissues. Taken together, these findings offer an important development in optimizing PAS therapy and its efficacy in the elimination of MDR K. pneumoniae pathogens.
Importance: The worldwide spread of antimicrobial resistance (AMR) has posed a great challenge to global public health. Phage therapy has become a promising alternative against difficult-to-treat pathogens. One important goal of this study was to optimize the therapeutic efficiency of phage-antibiotic combinations, known as phage-antibiotic synergy (PAS). Through comprehensive analysis of the phenotypic and genotypic characteristics of a large number of CRKp-specific phages, we developed a systematic model for phage cocktail combinations. Crucially, our finding demonstrated that PAS treatments not only enhance the bactericidal effects of colistin and tigecycline against multidrug-resistant (MDR) K. pneumoniae strains in in vitro and in vivo context but also provide a robust response when antibiotics fail. Overall, the optimized PAS therapy demonstrates considerable potential in combating diverse K. pneumoniae pathogens, highlighting its relevance as a strategy to mitigate antibiotic resistance threats effectively.
mSystemsBiochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍:
mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.