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驱动患者体内抗菌药物耐药性出现的生态和进化机制。

Ecological and evolutionary mechanisms driving within-patient emergence of antimicrobial resistance.

机构信息

Division of Evolution and Genomic Sciences, School of Biological Sciences, University of Manchester, Manchester, UK.

Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.

出版信息

Nat Rev Microbiol. 2024 Oct;22(10):650-665. doi: 10.1038/s41579-024-01041-1. Epub 2024 Apr 30.

Abstract

The ecological and evolutionary mechanisms of antimicrobial resistance (AMR) emergence within patients and how these vary across bacterial infections are poorly understood. Increasingly widespread use of pathogen genome sequencing in the clinic enables a deeper understanding of these processes. In this Review, we explore the clinical evidence to support four major mechanisms of within-patient AMR emergence in bacteria: spontaneous resistance mutations; in situ horizontal gene transfer of resistance genes; selection of pre-existing resistance; and immigration of resistant lineages. Within-patient AMR emergence occurs across a wide range of host niches and bacterial species, but the importance of each mechanism varies between bacterial species and infection sites within the body. We identify potential drivers of such differences and discuss how ecological and evolutionary analysis could be embedded within clinical trials of antimicrobials, which are powerful but underused tools for understanding why these mechanisms vary between pathogens, infections and individuals. Ultimately, improving understanding of how host niche, bacterial species and antibiotic mode of action combine to govern the ecological and evolutionary mechanism of AMR emergence in patients will enable more predictive and personalized diagnosis and antimicrobial therapies.

摘要

患者体内抗菌药物耐药性(AMR)产生的生态和进化机制及其在各种细菌感染中的差异尚不清楚。临床中越来越广泛地应用病原体基因组测序技术,使人们能够更深入地了解这些过程。在这篇综述中,我们探讨了支持细菌中存在的四种主要的患者体内 AMR 产生机制的临床证据:自发耐药突变;耐药基因的原位水平基因转移;预先存在的耐药性选择;以及耐药谱系的传入。患者体内的 AMR 产生存在于广泛的宿主小生境和细菌物种中,但每种机制的重要性在不同的细菌物种和体内感染部位之间有所不同。我们确定了这些差异的潜在驱动因素,并讨论了如何将生态和进化分析嵌入到抗菌药物的临床试验中,这些试验是理解为什么这些机制在病原体、感染和个体之间存在差异的有力但未被充分利用的工具。最终,提高对抗生素耐药性产生的生态和进化机制如何受宿主小生境、细菌物种和抗生素作用模式的影响的理解,将能够实现更具预测性和个性化的诊断和抗菌治疗。

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