Schaper K-J, Schubert S, Dalhoff A
Structural Biochemistry, Research Center Borstel, Leibniz Center for Medicine and Biosciences, Borstel, Germany.
Infection. 2005 Dec;33 Suppl 2:3-14. doi: 10.1007/s15010-005-8202-2.
Traditionally, the in vitro activity of antibacterial agents is characterized by their minimal inhibitory concentrations. However, these endpoints are, by nature, discrete and do not provide information on time-dependent killing of the bacteria during the incubation period. Nevertheless, the pharmacodynamic characteristics of antibacterial agents are almost always defined by correlating a static endpoint describing the antibacterial activity of an agent with the pharmacokinetics, describing the time-dependent fluctuation of drug concentrations. This approach is basically a contradiction in itself. Therefore, it would be more logical to correlate pharmacokinetics to in vitro parameters describing the time- and concentration-dependent antibacterial action of an agent. Thus, experimental methods and mathematical models quantifying the decrease in growth rate of a bacterial population due to the action of an antibacterial agent as a function of time and drug concentration have been applied to quantitate their pharmacodynamics. The effect of nine antibacterial agents representing drug classes of penicillins, cephalosporins, penems, macrolides, and fluoroquinolones were mathematically analyzed by using three different but related models. The kill rate, maximal kill, the 50%-effective concentration (EC50), the Hill coefficient, and concentrations and times needed to obtain a 1,000-fold decrease of the initial number of viable counts were calculated. Both the phenotypic description of the time-kill curves and these five parameters mirror the bacteriostatic or bactericidal activity of all nine agents studied as a function of time and concentration. Therefore, it would be more logical to correlate a parameter quantifying the kinetics of antibacterial in vitro activity with the pharmacokinetics of the drug, thus, replacing static endpoints like minimal inhibitory concentrations.
传统上,抗菌剂的体外活性通过其最低抑菌浓度来表征。然而,这些终点本质上是离散的,并且在培养期间不提供关于细菌时间依赖性杀灭的信息。尽管如此,抗菌剂的药效学特征几乎总是通过将描述药物抗菌活性的静态终点与描述药物浓度随时间波动的药代动力学相关联来定义。这种方法本身基本上是自相矛盾的。因此,将药代动力学与描述药物时间和浓度依赖性抗菌作用的体外参数相关联会更符合逻辑。因此,已经应用实验方法和数学模型来量化由于抗菌剂的作用导致细菌群体生长速率随时间和药物浓度的降低,以定量其药效学。使用三种不同但相关的模型对代表青霉素类、头孢菌素类、青霉烯类、大环内酯类和氟喹诺酮类药物类别的九种抗菌剂的效果进行了数学分析。计算了杀灭率、最大杀灭率、50%有效浓度(EC50)、希尔系数以及使初始活菌数减少1000倍所需的浓度和时间。时间杀灭曲线的表型描述以及这五个参数都反映了所研究的所有九种药物作为时间和浓度函数的抑菌或杀菌活性。因此,将量化抗菌体外活性动力学的参数与药物的药代动力学相关联会更符合逻辑,从而取代最低抑菌浓度等静态终点。