The evolution of antimicrobial peptide resistance in Pseudomonas aeruginosa is severely constrained by random peptide mixtures.

IF 9.8 1区 生物学 Q1 Agricultural and Biological Sciences
PLoS Biology Pub Date : 2024-07-02 eCollection Date: 2024-07-01 DOI:10.1371/journal.pbio.3002692
Bernardo Antunes, Caroline Zanchi, Paul R Johnston, Bar Maron, Christopher Witzany, Roland R Regoes, Zvi Hayouka, Jens Rolff
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引用次数: 0

Abstract

The prevalence of antibiotic-resistant pathogens has become a major threat to public health, requiring swift initiatives for discovering new strategies to control bacterial infections. Hence, antibiotic stewardship and rapid diagnostics, but also the development, and prudent use, of novel effective antimicrobial agents are paramount. Ideally, these agents should be less likely to select for resistance in pathogens than currently available conventional antimicrobials. The usage of antimicrobial peptides (AMPs), key components of the innate immune response, and combination therapies, have been proposed as strategies to diminish the emergence of resistance. Herein, we investigated whether newly developed random antimicrobial peptide mixtures (RPMs) can significantly reduce the risk of resistance evolution in vitro to that of single sequence AMPs, using the ESKAPE pathogen Pseudomonas aeruginosa (P. aeruginosa) as a model gram-negative bacterium. Infections of this pathogen are difficult to treat due the inherent resistance to many drug classes, enhanced by the capacity to form biofilms. P. aeruginosa was experimentally evolved in the presence of AMPs or RPMs, subsequentially assessing the extent of resistance evolution and cross-resistance/collateral sensitivity between treatments. Furthermore, the fitness costs of resistance on bacterial growth were studied and whole-genome sequencing used to investigate which mutations could be candidates for causing resistant phenotypes. Lastly, changes in the pharmacodynamics of the evolved bacterial strains were examined. Our findings suggest that using RPMs bears a much lower risk of resistance evolution compared to AMPs and mostly prevents cross-resistance development to other treatments, while maintaining (or even improving) drug sensitivity. This strengthens the case for using random cocktails of AMPs in favour of single AMPs, against which resistance evolved in vitro, providing an alternative to classic antibiotics worth pursuing.

铜绿假单胞菌抗菌肽耐药性的进化受到随机肽混合物的严重制约。
抗生素耐药病原体的流行已成为公共卫生的一大威胁,需要迅速采取措施,探索控制细菌感染的新策略。因此,抗生素管理、快速诊断以及新型有效抗菌剂的开发和谨慎使用都至关重要。理想的情况是,与目前可用的传统抗菌剂相比,这些制剂对病原体产生抗药性的可能性更小。抗菌肽(AMPs)是先天性免疫反应的关键成分,使用抗菌肽和联合疗法被认为是减少耐药性产生的策略。在此,我们以ESKAPE病原体铜绿假单胞菌(P. aeruginosa)为革兰氏阴性菌模型,研究了新开发的随机抗菌肽混合物(RPMs)是否能比单一序列AMPs显著降低体外耐药性进化的风险。这种病原体的感染很难治疗,因为它对许多药物都有固有的抗药性,并能形成生物膜。铜绿假单胞菌在存在 AMPs 或 RPMs 的情况下进行了实验性进化,随后评估了耐药性进化的程度以及不同处理之间的交叉耐药性/附带敏感性。此外,还研究了抗药性对细菌生长造成的适应性代价,并利用全基因组测序来调查哪些突变可能导致抗药性表型。最后,还研究了进化细菌菌株的药效学变化。我们的研究结果表明,与 AMPs 相比,使用 RPMs 产生耐药性演变的风险要低得多,而且在保持(甚至提高)药物敏感性的同时,还能在很大程度上防止对其他疗法产生交叉耐药性。这加强了使用随机鸡尾酒 AMPs 而不是单一 AMPs 的理由,因为单一 AMPs 在体外会产生抗药性,这为传统抗生素提供了一种值得研究的替代方法。
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
PLoS Biology
PLoS Biology BIOCHEMISTRY & MOLECULAR BIOLOGY-BIOLOGY
CiteScore
15.40
自引率
2.00%
发文量
359
审稿时长
3-8 weeks
期刊介绍: PLOS Biology is the flagship journal of the Public Library of Science (PLOS) and focuses on publishing groundbreaking and relevant research in all areas of biological science. The journal features works at various scales, ranging from molecules to ecosystems, and also encourages interdisciplinary studies. PLOS Biology publishes articles that demonstrate exceptional significance, originality, and relevance, with a high standard of scientific rigor in methodology, reporting, and conclusions. The journal aims to advance science and serve the research community by transforming research communication to align with the research process. It offers evolving article types and policies that empower authors to share the complete story behind their scientific findings with a diverse global audience of researchers, educators, policymakers, patient advocacy groups, and the general public. PLOS Biology, along with other PLOS journals, is widely indexed by major services such as Crossref, Dimensions, DOAJ, Google Scholar, PubMed, PubMed Central, Scopus, and Web of Science. Additionally, PLOS Biology is indexed by various other services including AGRICOLA, Biological Abstracts, BIOSYS Previews, CABI CAB Abstracts, CABI Global Health, CAPES, CAS, CNKI, Embase, Journal Guide, MEDLINE, and Zoological Record, ensuring that the research content is easily accessible and discoverable by a wide range of audiences.
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