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首页> 外文期刊>The Journal of Antimicrobial Chemotherapy >Effects of antimicrobials on the competitive growth of Streptococcus pneumoniae: a pharmacodynamic in vitro model approach to selection of resistant populations.
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Effects of antimicrobials on the competitive growth of Streptococcus pneumoniae: a pharmacodynamic in vitro model approach to selection of resistant populations.

机译:抗菌药物对肺炎链球菌竞争性生长的影响:一种选择耐药菌群的药效体外模型方法。

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摘要

OBJECTIVES: To investigate antimicrobial effects on a mixed culture of five Streptococcus pneumoniae serotypes (S) as an approach to ecology of population dynamics. METHODS: A computerized pharmacodynamic model simulating concentrations obtained after levofloxacin, ciprofloxacin and azithromycin doses was used. Resistance patterns were S12, susceptible to study drugs; S31, low-level macrolide-resistant (efflux phenotype); S11, high-level macrolide-resistant (erm genotype); S9V, low-level quinolone-resistant; and S3, high-level quinolone-resistant. Initial mixed inocula (time 0) included similar percentages of each serotype. RESULTS: At 24 h of control drug-free experiments, dominant strains were S9V (57.4%) and S12 (41.8%) with marginal populations of S31, S3 and S11. Azithromycin selected to a much higher extent the strain with low-level resistance to macrolides (S31) rather than the strain with high-level resistance (S11) (accounting for 99.9% versus 0.1% of the total population at 24 h). Ciprofloxacin selected to a higher extent low-level (S9V) rather than high-level (S3) quinolone resistance (72.4% versus 27.6%). Levofloxacin decreased the proportion of the predominant S9V in controls to 22.2% (an intermediate-resistant strain with MIC = 4 mg/L) and unmasked the high-level resistant strain (MIC = 32 mg/L) up to 77.8%. CONCLUSIONS: Strain distribution in an antibiotic-free environment depends on bacterial fitness in mono- and multi-strain niches. Selective pressure of antimicrobial regimens eradicate some populations and unmask minor populations, thus redistributing the whole population. Selective potential only for resistance phenotypes with very low prevalence (such as high-level quinolone resistance) in the community should be preferred to that selecting more prevalent resistance phenotypes.
机译:目的:研究对五种肺炎链球菌血清型(S)混合培养的抗菌作用,以此作为种群动态生态学的一种方法。方法:使用计算机药效学模型模拟左氧氟沙星,环丙沙星和阿奇霉素给药后的浓度。耐药模式为S12,易受研究药物影响; S31,低水平的抗大环内酯类(外排表型); S11,高水平抗大环内酯类(erm基因型); S9V,低水平耐喹诺酮;和S3,高水平的耐喹诺酮。初始混合接种(时间0)包括每种血清型的相似百分比。结果:在无药物对照实验的24小时内,优势菌株为S9V(57.4%)和S12(41.8%),边缘人群为S31,S3和S11。阿奇霉素在更大程度上选择了对大环内酯类药物具有低水平抗药性的菌株(S31),而不是对大环内酯类药物具有高水平抗药性的菌株(S11)(占24小时总种群的99.9%对0.1%)。环丙沙星在较高程度上选择了低水平(S9V)而不是高水平(S3)喹诺酮耐药性(72.4%对27.6%)。左氧氟沙星将对照组中主要S9V的比例降低到22.2%(MIC = 4 mg / L的中等耐药菌株),而高水平耐药菌株(MIC = 32 mg / L)的隐蔽性高达77.8%。结论:无抗生素环境中的菌株分布取决于单菌株和多菌株生态位的细菌适应性。抗菌方案的选择压力消除了某些人群,并掩盖了少数人群,从而重新分配了整个人群。在社区中,仅对于流行率非常低的耐药表型(例如高水平的喹诺酮耐药性)具有选择性的潜力应该比选择更为普遍的耐药表型更具选择性。

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