Přehled o publikaci
2024
In silico bioavailability triggers applied to direct and indirect thyroid hormone disruptors
KÜHNE, Ralph; Klára HILSCHEROVÁ; Marie SMUTNÁ; Friederike LESSMÖLLMANN; Gerrit SCHÜÜRMANN et al.Basic information
Original name
In silico bioavailability triggers applied to direct and indirect thyroid hormone disruptors
Authors
KÜHNE, Ralph; Klára HILSCHEROVÁ; Marie SMUTNÁ; Friederike LESSMÖLLMANN and Gerrit SCHÜÜRMANN
Edition
Chemosphere, OXFORD, PERGAMON-ELSEVIER SCIENCE LTD, 2024, 0045-6535
Other information
Language
English
Type of outcome
Article in a journal
Country of publisher
United Kingdom of Great Britain and Northern Ireland
Confidentiality degree
is not subject to a state or trade secret
References:
Marked to be transferred to RIV
Yes
RIV identification code
RIV/00216224:14310/24:00139261
Organization
Přírodovědecká fakulta – Repository – Repository
EID Scopus
Keywords in English
Absorption; Bioavailability; Blood/brain partitioning; In silico assessment; Penetration; Permeation; Retinoid; Thyroid hormone disruptors
Links
825753, interní kód Repo. 857560, interní kód Repo.
Changed: 31/7/2025 00:50, RNDr. Daniel Jakubík
Abstract
In the original language
Among endocrine disruption, interference with the thyroid hormone (TH) regulation is of increasing concern. Respective compounds encode through their structural features both the potential for TH disruption, and the bioavailability mitigating the toxicological effect. The aim of this study is to provide a substructure-based screening-level QSAR (quantitative structure-activity relationship) that discriminates bioavailable TH disruptors from not bioavailable counterparts, covering both direct and indirect (retinoid- and AhR-mediated) modes of action. The QSAR has been derived from literature data for 1642 compounds, and takes into account Lipinski's rule-of-five and the brain/blood partition coefficient Kbrain/blood. For its validation, an external test set of 145 substances has been used. For 1787 compounds meeting the model application domain, the model yields only one false negative. The discussion addresses the mechanistic meaning of the bioavailability triggers molecular weight, H-bond donor and acceptor, hydrophobicity (log Kow), and the physicochemical properties underlying log Kbrain/blood. The model may serve as bioavailability-screening step within a decision support system for the predictive assessment of chemicals regarding their potential to disrupt thyroid hormone function in a direct or indirect manner.