Racah Institute of Physics, Edmond J. Safra Campus, The Hebrew University of Jerusalemgrid.9619.7, Jerusalem, Israel.
Center for Infectious Disease Research, School of Medicine, Tsinghua Universitygrid.12527.33, Beijing, China.
mBio. 2021 Feb 22;13(1):e0000422. doi: 10.1128/mbio.00004-22. Epub 2022 Feb 15.
Combination treatments are commonly prescribed for enhancing drug efficacy, as well as for preventing the evolution of resistance. The interaction between drugs is typically evaluated near the MIC, using growth rate as a measure of treatment efficacy. However, for infections in which the killing activity of the treatment is important, measurements far above the MIC are needed. In this regime, the killing rate often becomes weakly concentration dependent, and a different metric is needed to characterize drug interactions. We evaluate the interaction metric on killing using an easy visual assay, the interaction tolerance detection test (iTDtest), that estimates the survival of bacteria under antibiotic combinations. We identify antibiotic combinations that enable the eradication of tolerant bacteria. Furthermore, the visualization of the antibiotic interactions reveals directional drug interactions and enables predicting high-order combination outcomes, therefore facilitating the determination of optimal treatments. The killing efficacy of antibiotic combinations is rarely measured in the clinical setting. However, in cases where the treatment is required to kill the infecting organism and not merely arrest its growth, the information on the killing efficacy is important, especially when tolerant strains are implicated. Here, we report on an easy method for the determination of the killing efficacy of antibiotic combinations which enabled to reveal combinations effective against tolerant bacteria. The results could be generally used to guide antimicrobial therapy in life-threatening infections.
联合治疗通常用于增强药物疗效,以及预防耐药性的产生。药物相互作用通常在接近 MIC 的情况下使用生长速率作为治疗效果的衡量标准来评估。然而,对于治疗具有杀菌活性的感染,需要远远高于 MIC 的测量值。在这种情况下,杀菌率通常与浓度弱相关,因此需要一种不同的指标来描述药物相互作用。我们使用易于可视化的抑菌试验(iTDtest)来评估杀菌的相互作用指标,该试验估计抗生素组合下细菌的存活率。我们确定了能够消灭耐受细菌的抗生素组合。此外,抗生素相互作用的可视化揭示了药物相互作用的方向性,并能够预测高阶组合结果,从而有助于确定最佳治疗方案。抗生素组合的杀菌效果在临床环境中很少测量。然而,在治疗需要杀死感染病原体而不仅仅是阻止其生长的情况下,杀菌效果的信息是很重要的,特别是在涉及耐受菌株的情况下。在这里,我们报告了一种简单的方法来确定抗生素组合的杀菌效果,该方法能够揭示对抗耐受细菌有效的组合。这些结果可普遍用于指导危及生命的感染中的抗菌治疗。