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在两种抗癫痫药物相互作用的等效线图分析中,对数概率法与塔拉瑞达法和周-塔拉莱-马丁法相结合——一项比较研究。

Log-probit accompanied with Tallarida and Chou-Talalay-Martin methods in an isobolographic analysis of interactions between two antiseizure medications - a comparative study.

作者信息

Łuszczki Jarogniew J, Gustaw-Rothenberg Katarzyna, Florek-Łuszczki Magdalena

机构信息

Department of Occupational Medicine, Medical University of Lublin, Lublin, Poland.

Department of Medical Anthropology, Institute of Rural Health, Lublin, Poland.

出版信息

Pharmacol Rep. 2025 Sep 5. doi: 10.1007/s43440-025-00784-9.

Abstract

BACKGROUND

The isobolographic analysis is a gold standard in the assessment of interactions between drugs in experimental studies. Although some isobolographic approaches are available, the most popular methods to characterize drug-drug interactions are the log-probit method accompanied with statistical analysis of interactions (by Tallarida) and the method based on mass-action law using CompuSyn software (elaborated by Chou-Talalay-Martin). The aim of this study was to compare the results from these two isobolographic approaches.

METHODS

Two isobolographic methods (log-probit associated with Tallarida statistics and Chou-Talalay-Martin) were applied to analyze the interaction between two antiseizure medications - clonazepam and lamotrigine in the mouse maximal electroshock-induced seizure model.

RESULTS

Both isobolographic approaches confirmed that the combination of clonazepam with lamotrigine produced synergistic interaction and allowed for detailed characteristics of the interaction at various effect levels for the two-drug mixture. Calculation of the combination index values (at various effect levels) confirmed that synergy slightly decreased when the antiseizure effect increased (combination index values increased from 0.44 for 16% to 0.65 for 84%).

CONCLUSIONS

The log-probit method with statistical analysis of data (by Tallarida) was more subtle and precise in the assessment of the synergistic interaction, whereas the isobolographic analysis by Chou-Talalay-Martin offered more automatic options facilitating visualization of the interaction.

摘要

背景

在实验研究中,等效线图分析是评估药物间相互作用的金标准。尽管有多种等效线图方法可用,但用于表征药物 - 药物相互作用的最常用方法是伴有相互作用统计分析的对数概率法(由塔拉里达提出)以及使用CompuSyn软件基于质量作用定律的方法(由周 - 塔拉莱 - 马丁阐述)。本研究的目的是比较这两种等效线图方法的结果。

方法

应用两种等效线图方法(与塔拉里达统计相关的对数概率法和周 - 塔拉莱 - 马丁法)分析两种抗癫痫药物——氯硝西泮和拉莫三嗪在小鼠最大电休克诱导癫痫模型中的相互作用。

结果

两种等效线图方法均证实氯硝西泮与拉莫三嗪联合产生协同相互作用,并能详细描述两药混合物在不同效应水平下的相互作用特征。计算联合指数值(在不同效应水平下)证实,随着抗癫痫效果增强,协同作用略有降低(联合指数值从16%时的0.44增加到84%时的0.65)。

结论

伴有数据统计分析的对数概率法(由塔拉里达提出)在评估协同相互作用时更精细、精确,而周 - 塔拉莱 - 马丁的等效线图分析提供了更多便于直观呈现相互作用的自动选项。

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