Literature DB >> 23751816

The relationship between repeat-dose toxicity and aromatic-ring class profile of high-boiling petroleum substances.

Randy N Roth1, Barry J Simpson, Mark J Nicolich, F Jay Murray, Thomas M Gray.   

Abstract

A study was undertaken within the context of the U.S. EPA HPV Chemical Challenge Program to (1) characterize relationships between PAC content and repeat-dose toxicities of high-boiling petroleum substances (HBPS) and (2) develop statistical models that could be used to predict the repeat-dose toxicity of similar untested substances. The study evaluated 47 repeat-dose dermal toxicity and 157 chemical compositional studies. The four most sensitive endpoints of repeat-dose toxicity were platelet count, hemoglobin concentration, relative liver weight and thymus weight. Predictive models were developed for the dose-response relationships between the wt.% concentration of each of seven ring classes of aromatic compounds (the "ARC profile") and specific effects, with high correlations (r=0.91-0.94) between the observed and model-predicted data. The development of the mathematical models used to generate the results reported in this study is described by Nicolich et al. (2013). Model-generated dose-response curves permit the prediction of either the effect at a given dose or the dose that causes a given effect. The models generate values that are consistent with other standard measures. The models, using compositional data, can be used for predicting the repeat-dose toxicity of untested HBPS.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biological models; Dermal; HPV chemical challenge program; High-boiling petroleum substances; Mixtures toxicity; Polycyclic aromatic compounds; QCAR modeling; Rat; Repeat-dose toxicity

Mesh:

Substances:

Year:  2013        PMID: 23751816     DOI: 10.1016/j.yrtph.2013.05.010

Source DB:  PubMed          Journal:  Regul Toxicol Pharmacol        ISSN: 0273-2300            Impact factor:   3.271


  3 in total

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Authors:  Fabian A Grimm; William K Russell; Yu-Syuan Luo; Yasuhiro Iwata; Weihsueh A Chiu; Tim Roy; Peter J Boogaard; Hans B Ketelslegers; Ivan Rusyn
Journal:  Environ Sci Technol       Date:  2017-05-26       Impact factor: 9.028

2.  A chemical-biological similarity-based grouping of complex substances as a prototype approach for evaluating chemical alternatives.

Authors:  Fabian A Grimm; Yasuhiro Iwata; Oksana Sirenko; Grace A Chappell; Fred A Wright; David M Reif; John Braisted; David L Gerhold; Joanne M Yeakley; Peter Shepard; Bruce Seligmann; Tim Roy; Peter J Boogaard; Hans B Ketelslegers; Arlean M Rohde; Ivan Rusyn
Journal:  Green Chem       Date:  2016-05-16       Impact factor: 10.182

3.  Grouping of UVCB substances with new approach methodologies (NAMs) data.

Authors:  John S House; Fabian A Grimm; William D Klaren; Abigail Dalzell; Srikeerthana Kuchi; Shu-Dong Zhang; Klaus Lenz; Peter J Boogaard; Hans B Ketelslegers; Timothy W Gant; Fred A Wright; Ivan Rusyn
Journal:  ALTEX       Date:  2020-10-09       Impact factor: 6.043

  3 in total

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