Novel full logistic model for estimation of the estrogenic activity of chemical mixtures

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61388971%3A_____%2F16%3A00466622" target="_blank" >RIV/61388971:_____/16:00466622 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216208:11310/16:10328358

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.tox.2016.06.017" target="_blank" >http://dx.doi.org/10.1016/j.tox.2016.06.017</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.tox.2016.06.017" target="_blank" >10.1016/j.tox.2016.06.017</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Novel full logistic model for estimation of the estrogenic activity of chemical mixtures

Popis výsledku v původním jazyce

Estrogenic compounds as well as other biologically active substances are commonly present in the form of complex mixtures in the environment. There is still no satisfactory model that would be capable of predicting the toxic effects of mixtures containing partial receptor agonists and compounds with different parameters of their dose-response curves. Therefore, a novel Full Logistic Model (FLM) of prediction using all the parameters of dose-response curves has been suggested and compared with previously published approaches. We tested the receptor-binding activities of selected estrogens including full and partial agonists and their mixtures using yeast reporter gene assays and the human T47D cell line. Combination effects were modeled with FLM and predicted curves were compared with the data obtained experimentally. FLM yielded a good fit to the experimental data from both the receptor binding assays and gave better predictions than the previously published approaches. FLM also provided satisfactory results regarding final partial agonistic dose-response curves with maximum influenced by the inhibitory effect of the partial agonist. FLM is not limited by any simplification like the toxic equivalency factor approach or generalized concentration addition and therefore it could be employed for mixtures containing chemicals with different parameters of their dose-response curves (maximum, minimum, inflex point or slope)

Název v anglickém jazyce

Novel full logistic model for estimation of the estrogenic activity of chemical mixtures

Popis výsledku anglicky

Estrogenic compounds as well as other biologically active substances are commonly present in the form of complex mixtures in the environment. There is still no satisfactory model that would be capable of predicting the toxic effects of mixtures containing partial receptor agonists and compounds with different parameters of their dose-response curves. Therefore, a novel Full Logistic Model (FLM) of prediction using all the parameters of dose-response curves has been suggested and compared with previously published approaches. We tested the receptor-binding activities of selected estrogens including full and partial agonists and their mixtures using yeast reporter gene assays and the human T47D cell line. Combination effects were modeled with FLM and predicted curves were compared with the data obtained experimentally. FLM yielded a good fit to the experimental data from both the receptor binding assays and gave better predictions than the previously published approaches. FLM also provided satisfactory results regarding final partial agonistic dose-response curves with maximum influenced by the inhibitory effect of the partial agonist. FLM is not limited by any simplification like the toxic equivalency factor approach or generalized concentration addition and therefore it could be employed for mixtures containing chemicals with different parameters of their dose-response curves (maximum, minimum, inflex point or slope)

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

EE - Mikrobiologie, virologie

OECD FORD obor

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Projekt

<a href="/cs/project/GA15-02328S" target="_blank" >GA15-02328S: Organismy a mechanismy určující osud endokrinních disruptorů v životním prostředí</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Toxicology

ISSN

0300-483X

e-ISSN

—

Svazek periodika

359

Číslo periodika v rámci svazku

JUN 1

Stát vydavatele periodika

IE - Irsko

Počet stran výsledku

13

Strana od-do

58-70

Kód UT WoS článku

000381545500007

EID výsledku v databázi Scopus

2-s2.0-84978910383