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Modeling of pharmaceuticals mixtures toxicity with deviation ratio and best-fit functions models

Author:
Wieczerzak, Monika, Kudłak, Błażej, Yotova, Galina, Nedyalkova, Miroslava, Tsakovski, Stefan, Simeonov, Vasil, Namieśnik, Jacek
Source:
The Science of the total environment 2016 v.571 pp. 259-268
ISSN:
0048-9697
Subject:
androstenedione, bioassays, chloramphenicol, correlation, diclofenac, ecotoxicology, estrone, gemfibrozil, ketoprofen, models, oxytetracycline, progesterone, regression analysis, sodium, toxicity
Abstract:
The present study deals with assessment of ecotoxicological parameters of 9 drugs (diclofenac (sodium salt), oxytetracycline hydrochloride, fluoxetine hydrochloride, chloramphenicol, ketoprofen, progesterone, estrone, androstenedione and gemfibrozil), present in the environmental compartments at specific concentration levels, and their mutual combinations by couples against Microtox® and XenoScreen YES/YAS® bioassays. As the quantitative assessment of ecotoxicity of drug mixtures is an complex and sophisticated topic in the present study we have used two major approaches to gain specific information on the mutual impact of two separate drugs present in a mixture. The first approach is well documented in many toxicological studies and follows the procedure for assessing three types of models, namely concentration addition (CA), independent action (IA) and simple interaction (SI) by calculation of a model deviation ratio (MDR) for each one of the experiments carried out. The second approach used was based on the assumption that the mutual impact in each mixture of two drugs could be described by a best-fit model function with calculation of weight (regression coefficient or other model parameter) for each of the participants in the mixture or by correlation analysis. It was shown that the sign and the absolute value of the weight or the correlation coefficient could be a reliable measure for the impact of either drug A on drug B or, vice versa, of B on A. Results of studies justify the statement, that both of the approaches show similar assessment of the mode of mutual interaction of the drugs studied. It was found that most of the drug mixtures exhibit independent action and quite few of the mixtures show synergic or dependent action.
Agid:
5567999