新的体外模型评估抗细菌药物从生物可吸收聚合物载体释放动力学

S. Andreevskaya, T. Smirnova, E. Antonov, L. Chernousova, S. Bogorodsky, E. Larionova, V. Popov, A. Ergeshov
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引用次数: 0

摘要

抗结核病的缓释药物是一种很有希望的治疗方法,因为它们对患者对长期治疗方案的依从性有积极影响,特别是在涉及多重耐药形式的结核病时。传统的紫外-可见光谱学不能很好地用于培养结核分枝杆菌的多组分培养基。本研究的目的是开发一种评估抗结核药物从生物可吸收聚合物载体释放动力学的方法,该方法适用于筛选广泛的包封缓释药物并确定表现最佳的候选药物。在研究实验室敏感菌株H37Rv在不同左氧氟沙星浓度(0.03 ~ 0.4 μg/ml)存在下的生长动力学时,我们建立了一个模型,该模型本质上是一组2个平行实验,评估药物释放到培养基中的动力学。将左氧氟沙星的3种包封形式分别装入可生物吸收的聚合物PLGA载体(粒径分别为50 μm、100 μm和基质)上进行两项实验,结果表明,药物的释放动力学主要取决于聚合物载体的类型。在基质中观察到抗生素的最佳包封和逐渐释放到培养基中。所有试验分3个重复进行。所得数据采用描述性统计进行分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New in vitro model to evaluate kinetics of antimycobacterial drug release from bioresorbable polymeric carriers
Sustained-release drugs against tuberculosis are a promising approach to therapy since they positively affect patient compliance with long regimens, especially when it comes to the multidrug-resistant form of the disease. Conventional UV-visible spectroscopy does not work well with multicomponential culture media used for growing M. tuberculosis. The aim of this study was to develop a method for evaluating the kinetics of anti-tuberculosis drug released from bioresorbable polymeric carriers suitable for screening a wide range of encapsulated prolonged-release drugs and identifying the best performing candidate. While studying the growth dynamics of the laboratory susceptible strain M. tuberculosis H37Rv in the presence of different levofloxacin concentrations (from 0.03 to 0.4 μg/ml), we developed a model, which is essentially a set of 2 parallel experiments evaluating the kinetics of drug release into the culture medium. The results of these 2 experiments conducted on 3 encapsulated forms of levofloxacin loaded onto bioresorbable polymeric PLGA carriers (particles sized 50 μm and 100 μm and the matrix) revealed that release kinetics of the drug largely depended on the type of polymeric carrier. The best encapsulation of the antibiotic and its gradual release into the culture medium was observed for the matrix. All experiments were run in 3 replicates. The obtained data were analyzed using descriptive statistics.
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