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1998 - 2019年欧洲抗生素耐药性的演变

The evolution of antibiotic resistance in Europe, 1998-2019.

作者信息

Emons Martin, Blanquart François, Lehtinen Sonja

机构信息

Department of Environmental Systems Sciences, Institute for Integrative Biology, ETH Zurich, Zurich, Switzerland.

Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.

出版信息

PLoS Pathog. 2025 Apr 3;21(4):e1012945. doi: 10.1371/journal.ppat.1012945. eCollection 2025.

Abstract

The evolutionary dynamics of antibiotic resistance are not well understood, particularly the long-term trajectories of resistance frequencies and their dependence on antibiotic consumption. Here, we systematically analyse resistance trajectories for 887 bug-drug-country combinations in Europe across 1998-2019, for eight bacterial species with a considerable resistance-associated public health burden. Our analyses support a model in which, after an initial increase, resistance frequencies reach a stable intermediate equilibrium. The plurality (37%) of analysed trajectories were best described as 'stable' (neither increasing nor decreasing). 21% of trajectories were best described as 'stabilising' - i.e. showing a transition from increasing frequency to a stable plateau; 21% as decreasing and 20% as increasing. The antibiotic consumption in a country predicts both the equilibrium frequency of the corresponding resistance and the speed at which this equilibrium is reached. Moreover, we find weak evidence that temporal fluctuations in resistance frequency are driven by temporal fluctuations in hospital antibiotic consumption. A large fraction of the variability in the speed of increase and the equilibrium level of resistance remains unexplained by antibiotic use, suggesting other factors may also drive resistance dynamics. Overall, our results indicate that ever increasing antibiotic resistance frequencies are not inevitable.

摘要

抗生素耐药性的进化动态尚未得到充分理解,尤其是耐药频率的长期变化轨迹及其对抗生素使用量的依赖性。在此,我们系统分析了1998年至2019年间欧洲887种细菌-药物-国家组合的耐药轨迹,涉及八种具有相当大耐药相关公共卫生负担的细菌物种。我们的分析支持了一个模型,即在初始增加之后,耐药频率达到一个稳定的中间平衡状态。多数(37%)分析轨迹被最好地描述为“稳定”(既不增加也不减少)。21%的轨迹被最好地描述为“趋于稳定”——即显示出从频率增加到稳定平台的转变;21%为下降,20%为上升。一个国家的抗生素使用量既可以预测相应耐药性的平衡频率,也可以预测达到该平衡的速度。此外,我们发现有微弱证据表明耐药频率的时间波动是由医院抗生素使用量的时间波动驱动的。耐药性增加速度和平衡水平的很大一部分变异性无法用抗生素使用来解释,这表明其他因素也可能驱动耐药动态。总体而言,我们的结果表明抗生素耐药频率不断增加并非不可避免。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b63/11967945/4184b84b3994/ppat.1012945.g001.jpg

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