Literature DB >> 26735350

Inhalation threshold of toxicological concern (TTC) - Structural alerts discriminate high from low repeated-dose inhalation toxicity.

Gerrit Schüürmann1, Ralf-Uwe Ebert2, Inga Tluczkiewicz3, Sylvia E Escher4, Ralph Kühne2.   

Abstract

The threshold of toxicological concern (TTC) of a compound represents an exposure value below which the associated human health risk is considered negligible. As such, this approach offers assessing the risk of potential toxicants when little or no toxicological information is available. For the inhalation repeated-dose TTC, the goal was to derive structural alerts that discriminate between high- and low-toxic compounds. A further aim was to identify physicochemical parameters related to the inhalation-specific bioavailability of the compounds, and to explore their use as predictors of high vs low toxicity. 296 compounds with subacute, subchronic and chronic inhalation toxicity NOEC (no-observed effect concentration) values were subdivided into three almost equal-sized high-, medium- and low-toxic (HTox, MTox, LTox) potency classes. Whereas the derived 14 HTox and 7 LTox structural alerts yield an only moderate discrimination between these three groups, the high-toxic vs low-toxic mis-classification is very low: LTox-predicted compounds are not HTox to 97.5%, and HTox-predicted compounds not LTox to 88.6%. The probability of a compound being HTox vs LTox is triggered further by physicochemical properties encoding the tendency to evaporate from blood. The new structural alerts may aid in the predictive inhalation toxicity assessment of compounds as well as in designing low-toxicity chemicals, and provide a rationale for the chemistry underlying the toxicological outcome that can also be used for scoping targeted experimental studies.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Alternative method; Inhalation toxicity; Mode of action; Repeated-dose toxicity; Structural alert; Threshold of toxicological concern

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Year:  2015        PMID: 26735350     DOI: 10.1016/j.envint.2015.12.005

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  4 in total

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Authors:  Beate I Escher; Jörg Hackermüller; Tobias Polte; Stefan Scholz; Achim Aigner; Rolf Altenburger; Alexander Böhme; Stephanie K Bopp; Werner Brack; Wibke Busch; Marc Chadeau-Hyam; Adrian Covaci; Adolf Eisenträger; James J Galligan; Natalia Garcia-Reyero; Thomas Hartung; Michaela Hein; Gunda Herberth; Annika Jahnke; Jos Kleinjans; Nils Klüver; Martin Krauss; Marja Lamoree; Irina Lehmann; Till Luckenbach; Gary W Miller; Andrea Müller; David H Phillips; Thorsten Reemtsma; Ulrike Rolle-Kampczyk; Gerrit Schüürmann; Benno Schwikowski; Yu-Mei Tan; Saskia Trump; Susanne Walter-Rohde; John F Wambaugh
Journal:  Environ Int       Date:  2016-12-08       Impact factor: 9.621

2.  Use of In Silico Methods for Regulatory Toxicological Assessment of Pharmaceutical Impurities.

Authors:  Simona Kovarich; Claudia Ileana Cappelli
Journal:  Methods Mol Biol       Date:  2022

3.  Challenges in Predicting the Change in the Cumulative Exposure of New Tobacco and Related Products Based on Emissions and Toxicity Dose-Response Data.

Authors:  Yvonne C M Staal; Wieneke Bil; Bas G H Bokkers; Lya G Soeteman-Hernández; W Edryd Stephens; Reinskje Talhout
Journal:  Int J Environ Res Public Health       Date:  2022-08-24       Impact factor: 4.614

4.  Methodological Approaches for Risk Assessment of Tobacco and Related Products.

Authors:  Yvonne C M Staal; Peter M J Bos; Reinskje Talhout
Journal:  Toxics       Date:  2022-08-24
  4 in total

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