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抗生素相互作用影响粪肠球菌短期耐药进化。

Antibiotic interactions shape short-term evolution of resistance in E. faecalis.

机构信息

Department of Biophysics, University of Michigan, Ann Arbor, Michigan, United States of America.

Department of Physics, University of Michigan, Ann Arbor, Michigan, United States of America.

出版信息

PLoS Pathog. 2020 Mar 2;16(3):e1008278. doi: 10.1371/journal.ppat.1008278. eCollection 2020 Mar.

Abstract

Antibiotic combinations are increasingly used to combat bacterial infections. Multidrug therapies are a particularly important treatment option for E. faecalis, an opportunistic pathogen that contributes to high-inoculum infections such as infective endocarditis. While numerous synergistic drug combinations for E. faecalis have been identified, much less is known about how different combinations impact the rate of resistance evolution. In this work, we use high-throughput laboratory evolution experiments to quantify adaptation in growth rate and drug resistance of E. faecalis exposed to drug combinations exhibiting different classes of interactions, ranging from synergistic to suppressive. We identify a wide range of evolutionary behavior, including both increased and decreased rates of growth adaptation, depending on the specific interplay between drug interaction and drug resistance profiles. For example, selection in a dual β-lactam combination leads to accelerated growth adaptation compared to selection with the individual drugs, even though the resulting resistance profiles are nearly identical. On the other hand, populations evolved in an aminoglycoside and β-lactam combination exhibit decreased growth adaptation and resistant profiles that depend on the specific drug concentrations. We show that the main qualitative features of these evolutionary trajectories can be explained by simple rescaling arguments that correspond to geometric transformations of the two-drug growth response surfaces measured in ancestral cells. The analysis also reveals multiple examples where resistance profiles selected by drug combinations are nearly growth-optimized along a contour connecting profiles selected by the component drugs. Our results highlight trade-offs between drug interactions and resistance profiles during the evolution of multi-drug resistance and emphasize evolutionary benefits and disadvantages of particular drug pairs targeting enterococci.

摘要

抗生素组合越来越多地用于对抗细菌感染。多药治疗是治疗粪肠球菌(一种机会性病原体,可导致高接种量感染,如感染性心内膜炎)的一种特别重要的治疗选择。虽然已经确定了许多针对粪肠球菌的协同药物组合,但对于不同组合如何影响耐药进化的速度知之甚少。在这项工作中,我们使用高通量实验室进化实验来量化粪肠球菌暴露于表现出不同相互作用类别的药物组合时的生长率和耐药性的适应性,这些相互作用类别从协同作用到抑制作用不等。我们确定了广泛的进化行为,包括生长适应性的增加和减少,这取决于药物相互作用和耐药性谱之间的具体相互作用。例如,与单独使用药物相比,选择双β-内酰胺组合会导致生长适应性加速,尽管产生的耐药性谱几乎相同。另一方面,在氨基糖苷类和β-内酰胺类组合中进化的群体表现出生长适应性降低和耐药性谱,这取决于特定的药物浓度。我们表明,这些进化轨迹的主要定性特征可以通过简单的缩放论点来解释,这些论点对应于在祖先细胞中测量的两药生长反应曲面的几何变换。该分析还揭示了多个例子,其中药物组合选择的耐药性谱几乎沿着连接由药物成分选择的耐药性谱的轮廓进行了生长优化。我们的结果强调了多药耐药进化过程中药物相互作用和耐药性谱之间的权衡,并强调了针对肠球菌的特定药物对的进化优势和劣势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87e7/7093004/3b31b6c88668/ppat.1008278.g001.jpg

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