The Ohio State University, Columbus, OH. United States.
Optimum Therapeutics, LLC, 1815 Aston Ave STE 107, Carlsbad, CA 92008. United States.
Curr Cancer Drug Targets. 2017;17(8):735-755. doi: 10.2174/1568009617666170330154054.
Commonly used methods for analyzing interactivity between drugs (e.g. synergy, antagonism) such as isobologram, combination index, and curve shift are based on the Loewe Additivity principle of dose equivalence and the inherent assumption of similar concentration- effect (C-E) including parallel curves and equal maximum effects (Emax), and therefore are not suitable for drugs with dissimilar C-E. This study describes a new method that is without this limitation and has the additional advantage of enabling statistical analysis.
The method comprises two steps. First, based on the dose equivalence principle, the experimentally obtained C-E of one drug was used to calculate the equally effective C-E of the other drug at no interactivity; the resulting two zero-interactivity C-E formed the upper and lower boundaries of Additivity Envelope. Next, 95% confidence intervals calculated from experimental data were added to Additivity Envelope to obtain Uncertainty Envelope (UE). Experimentally observed effects of drug combinations (C-Ecomb,observed) located within UE indicate additivity whereas C-Ecomb,observed located above or below UE indicate statistically significant (p<0.05) synergy or antagonism, respectively. Additional in silico studies demonstrated the shape and size of Additivity Envelope, which determines the ability to detect drug interactivity, depended on the Drug A-to-B concentration ratios and the ratios of their C-E curve shape parameter. Analyses of experimental results of combinations of drugs with nonparallel C-E and/or unequal Emax indicated UE as more versatile and provided more information, compared to earlier methods.
UE is a broadly applicable method for analysis, including statistical significance assessment, of drug interactivity.
常用于分析药物相互作用(如协同作用、拮抗作用)的方法,如等效应线、合并指数和曲线移位,都是基于等效剂量的 Loewe 加和性原理和相似浓度-效应(C-E)的固有假设,包括平行曲线和平等最大效应(Emax),因此不适合具有不同 C-E 的药物。本研究描述了一种新方法,该方法没有这种限制,并且具有能够进行统计分析的额外优点。
该方法包括两个步骤。首先,基于等效剂量原理,用实验获得的一种药物的 C-E 来计算另一种药物在无相互作用时的等效 C-E;得到的两个零相互作用 C-E 形成加和性包络的上下限。接下来,用实验数据计算 95%置信区间并添加到加和性包络中,得到不确定性包络(UE)。位于 UE 内的药物组合的实验观察效应(C-Ecomb,observed)表明具有加和性,而位于 UE 之上或之下的 C-Ecomb,observed 则表示具有统计学意义(p<0.05)的协同作用或拮抗作用。额外的计算机模拟研究表明,加和性包络的形状和大小,决定了检测药物相互作用的能力,取决于药物 A 与 B 的浓度比及其 C-E 曲线形状参数比。对具有非平行 C-E 和/或不等 Emax 的药物组合的实验结果进行分析表明,与早期方法相比,UE 更通用,提供了更多信息。
UE 是一种广泛适用于分析药物相互作用的方法,包括统计显著性评估。