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首页> 外文期刊>Journal of chemotherapy >A novel parameter to predict the effects of antibiotic combinations on the development of Staphylococcus aureus resistance: in vitro model studies at subtherapeutic daptomycin and rifampicin exposures
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A novel parameter to predict the effects of antibiotic combinations on the development of Staphylococcus aureus resistance: in vitro model studies at subtherapeutic daptomycin and rifampicin exposures

机译:一种新的参数,以预测抗生素组合对金黄色葡萄球菌抗性发展的影响:亚治疗性达托霉素和利福平曝光的体外模型研究

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摘要

The search for optimal predictors of anti-mutant effects remains a pressing problem in studies of antibiotic-associated bacterial resistance. To relate the emergence of bacterial resistance with the antibiotic mutant prevention concentration (MPC), a novel integral parameter - the area around the resistance threshold, i.e. MPC level (AAMPC) is proposed. The AAMPC is the algebraic sum of the area under the antibiotic concentration-time curve that is above the MPC (positive area) and the area above the concentration-time curve that is under the MPC (negative area). To assess the predictive performance of AAMPC, the enrichment of resistant Staphylococcus aureus was studied by simulating treatment with daptomycin and rifampicin alone and in combination in an in vitro dynamic model. The enhanced anti-mutant effects of the antibiotic combinations were due to lowering the negative 24-h AAMPCs. These findings suggest that a novel MPC-related parameter is a reliable predictor of mutant enrichment.
机译:寻求抗突变效应的最佳预测因子仍然是抗生素相关细菌抗性研究中的压迫问题。为了使细菌抗性的出现与抗生素突变突变体预防浓度(MPC),提出了一种新的积分参数 - 围绕电阻阈值的区域,即MPC水平(AAMPC)。 AAMPC是在MPC(正面区域)上方的抗生素浓度 - 时间曲线下的区域的代数和,并且在MPC(负区域)下方的浓度 - 时间曲线上方的面积。为了评估AAMPC的预测性能,通过单独用Daptomycin和利福平的处理和在体外动态模型中模拟处理来研究抗性金黄色葡萄球菌的富集。抗生素组合的增强抗突变效应是由于降低了阴性24-H AAMPC。这些发现表明,新的MPC相关参数是突变富集的可靠预测因子。

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