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Pharmacodynamic modeling of ciprofloxacin resistance in Staphylococcus aureus.

机译:金黄色葡萄球菌对环丙沙星耐药的药效学模型。

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摘要

A pharmacodynamic model that describes and predicts the evolution of resistance in Staphylococcus aureus populations exposed to ciprofloxacin was developed using pharmacokinetic, subpopulation, and resistance mechanism data obtained from hollow-fiber in vitro system experiments. The model was designed for two populations of bacteria with different susceptibility to ciprofloxacin and incorporated unique growth and killing rate constants for the ciprofloxacin-susceptible and -resistant populations. Modeling was performed using viable count data obtained from in vitro system experiments versus two ciprofloxacin-susceptible (MIC = 0.5 μg/ml) Staphylococcus aureus strains (MRSA 8043 and MRSA 8282) and the most resistant grlA mutants of MRSA 8043 (MRSA 8043C0–1; MIC = 4 μg/ml) and MRSA 8282 (MRSA 8282C0–1; MIC = 2 μg/ml) detected in the starting cultures. Log-phase cultures (7.08 ± 0.23 log 10 CFU/ml) were exposed to a series of clinical and experimental ciprofloxacin pharmacokinetic profiles (t1/2 = 4.22 ± 0.11 h) for 96 hours. Nonlinear regression was used to simultaneously fit pharmacodynamic model equations to viable count-time profiles for each parent strain and corresponding grlA mutant. A good model fit was evident by the strong correlation (r = 0.928 to 0.998) between model-predicted and observed viable counts, and the high precision (coefficients of variation 11.9%) of all parameter estimates except R0, the size of the resistant subpopulations in the starting cultures. The model successfully predicted that grlA mutants of MRSA 8043 and MRSA 8282 would not appear when a low inoculum culture (∼5 log10 CFU/ml) was exposed to clinically-relevant ciprofloxacin concentrations or when a high inoculum culture (∼7 log10 CFU/ml) was exposed to transient high initial concentrations from a simulated experimental dosage regimen. The model, however, did not predict or explain the origin of highly resistant variants of MRSA 8043 and MRSA 8282 that appeared and became the predominant subpopulation in some experiment. Additional refinement and validation of the pharmacodynamic model is warranted.
机译:利用从空心纤维体外获得的药代动力学,亚群和耐药机制数据,建立了描述并预测暴露于环丙沙星的金黄色葡萄球菌人群中耐药性演变的药效学模型。系统实验。该模型是针对两个对环丙沙星敏感性不同的细菌种群设计的,并为对环丙沙星敏感和耐药的种群纳入了独特的生长和杀灭速率常数。使用从体外系统实验获得的存活计数数据与两种环丙沙星敏感(MIC = 0.5μg/ ml)金黄色葡萄球菌菌株(MRSA 8043和MRSA 8282)进行建模以及在起始培养物中检测到的最抗药性的MRSA 8043(MRSA 8043C0–1; MIC = 4μg/ ml)和MRSA 8282(MRSA 8282C0–1; MIC = 2μg/ ml)的 grlA 突变体。对数期培养物(7.08±0.23 log 10 CFU / ml)暴露于一系列临床和实验环丙沙星药代动力学曲线(t 1/2 = 4.22±0.11 h )96小时。使用非线性回归将药代动力学模型方程式同时拟合到每个亲本菌株和相应的 grlA 突变体的可行计数时间曲线。通过模型预测的和观察到的可行计数之间的强相关性( r = 0.928至0.998)以及所有参数估计值的高精度(变异系数<11.9%),可以很好地证明模型拟合良好。 R 0 ,即起始培养物中抗性亚群的大小。该模型成功预测,当低接种量(〜5 log 10 CFU / ml)与临床相关时,不会出现MRSA 8043和MRSA 8282的 grlA 突变体环丙沙星的浓度或高接种量(〜7 log 10 CFU / ml)暴露于模拟实验剂量方案的瞬时高初始浓度时。但是,该模型无法预测或解释在某些实验中出现并成为主要亚群的MRSA 8043和MRSA 8282高抗性变异体的起源。必须对药效学模型进行进一步的完善和验证。

著录项

  • 作者

    Campion, Jeffrey James.;

  • 作者单位

    University of Kentucky.;

  • 授予单位 University of Kentucky.;
  • 学科 Health Sciences Pharmacy.; Health Sciences Pharmacology.; Biology Microbiology.
  • 学位 Ph.D.
  • 年度 2003
  • 页码 248 p.
  • 总页数 248
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 药剂学;药理学;微生物学;
  • 关键词

  • 入库时间 2022-08-17 11:44:58

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