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

Result code in 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>

Alternative codes found

RIV/00216208:11310/16:10328358

Result on the web

<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>

Result language

angličtina

Original language name

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

Original language description

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)

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

EE - Microbiology, virology

OECD FORD branch

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Project

<a href="/en/project/GA15-02328S" target="_blank" >GA15-02328S: Organisms and mechanisms determining the fate of endocrine disruptors in the environment</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2016

Confidentiality

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

Name of the periodical

Toxicology

ISSN

0300-483X

e-ISSN

—

Volume of the periodical

359

Issue of the periodical within the volume

JUN 1

Country of publishing house

IE - IRELAND

Number of pages

13

Pages from-to

58-70

UT code for WoS article

000381545500007

EID of the result in the Scopus database

2-s2.0-84978910383