ACS Infect Dis. 2020 Apr 10;6(4):629-636. doi: 10.1021/acsinfecdis.9b00484. Epub 2020 Feb 14.
Target vulnerability correlates the level of drug-target engagement required to generate a pharmacological response. High vulnerability targets are those that require only a relatively small fraction of occupancy to achieve the desired pharmacological outcome, whereas low vulnerability targets require high levels of engagement. Here, we demonstrate that the slope of the correlation between drug-target residence time and the post-antibiotic effect (PAE) can be used to define the vulnerability of bacterial targets. For macrolides, a steep slope is observed between residence time on the ribosome and the PAE, indicating that the ribosome is a highly vulnerable drug target. The analysis of the residence time-PAE data for erythromycin, azithromycin, spiramycin, and telithromycin using a mechanistic pharmacokinetic-pharmacodynamic model that integrates drug-target kinetics into predictions of drug activity lead to the successful prediction of the cellular PAE for tylosin, which has the longest residence time (7.1 h) and PAE (5.8 h). Although the macrolide data support a connection between residence time, PAE, and bactericidality, many bactericidal β-lactam antibiotics do not give a PAE, illustrating the role of factors such as protein resynthesis in the expression of target vulnerability.
目标易感性与产生药理反应所需的药物-靶点结合水平相关。高易感性靶点是指只需相对较小比例的占据即可达到所需的药理效果的靶点,而低易感性靶点则需要高水平的结合。在这里,我们证明药物-靶点停留时间与抗生素后效应(PAE)之间的相关性的斜率可用于定义细菌靶点的易感性。对于大环内酯类药物,在核糖体上的停留时间与 PAE 之间观察到陡峭的斜率,表明核糖体是一个高度易感性的药物靶点。使用一种将药物-靶点动力学整合到药物活性预测中的机制药代动力学-药效动力学模型,对红霉素、阿奇霉素、螺旋霉素和泰利霉素的停留时间-PAE 数据进行分析,成功预测了替米考星的细胞 PAE,替米考星的停留时间最长(7.1 小时),PAE(5.8 小时)。尽管大环内酯类药物的数据支持停留时间、PAE 和杀菌性之间的联系,但许多杀菌性β-内酰胺类抗生素没有 PAE,这说明了蛋白质再合成等因素在表达靶点易感性方面的作用。