Interaction index and different methods for determining drug interaction in combination therapy
Interaction index and different methods for determining drug interaction in combination therapy
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DOI：
10.1080/10543400701199593
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发表时间：
2007-01-01
影响因子：
1.1
通讯作者：
Lotan, R.
中科院分区：
文献类型：
--
作者：
Lee, J. J.;Kong, M.;Lotan, R.
研究和了解联合治疗的联合作用在药理学和联合治疗的发展中具有重要意义。Loewe加和性模型是评价药物相互作用的最佳通用参考模型之一。基于该模型，当相互作用指数小于1时，协同作用发生，而当相互作用指数大于1时，则产生拮抗作用。我们阐述了相互作用指数的含义，并提出了一种计算相互作用指数及其相关可信区间的方法，假设单一药物的剂量-效应曲线服从Chou和Talalay的中位效应方程。此外，我们回顾了四种基于Loewe加性模型的响应面模型，该模型使用单个参数来确定药物相互作用。我们在Loewe可加性模型的背景下描述了每一种模型，并讨论了它们的相对优缺点。我们还为每种方法提供了S+/R代码，以便于这些常用方法的实现。
Studying and understanding the joint effect of combined treatments is important in pharmacology and in the development of combination therapies. The Loewe additivity model is one of the best general reference models for evaluating drug interactions. Based on this model, synergy occurs when the interaction index is less than one, while antagonism occurs when interaction index is greater than one. We expound the meaning of the interaction index, and propose a procedure to calculate the interaction index and its associated confidence interval under the assumption that the dose-effect curve for a single agent follows Chou and Talalay's median effect equation. In addition, we review four response surface models based on the Loewe additivity model using a single parameter to determine drug interactions. We describe each of these models in the context of Loewe additivity model and discuss their relative advantages and disadvantages. We also provide S-PLUS/R code for each approach to facilitate the implementation of these commonly used methods.