Literature DB >> 23680405

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

F Jay Murray1, Randy N Roth, Mark J Nicolich, Thomas M Gray, Barry J Simpson.   

Abstract

In response to the US EPA HPV Challenge Program, this study was conducted to: (1) evaluate the relationship between PAC content and the developmental toxicity of high-boiling petroleum substances (HBPS) and (2) develop mathematical models to predict the developmental toxicity of similar untested substances based on their aromatic ring class (ARC) profiles. For this investigation, 68 developmental toxicity studies were reviewed. The ARC models relied on data from 21 rat dermal developmental toxicity studies conducted with similar experimental designs to ensure a consistent data set for comparison. The most sensitive general endpoints of developmental toxicity (i.e., decreased fetal survival and growth) were chosen for modeling. The ARC models demonstrated a strong correlation between the predicted vs. observed values for specific sensitive endpoints of these developmental toxicities (percent resorptions, r=0.99; live fetuses per litter, r=0.98; fetal body weight, r=0.94). Such associations provide a promising approach for predicting the developmental toxicity of untested HBPS. Efforts to corroborate the ARC models using test substances that were not used to build the ARC models produced mixed results, and further development and refinement of the ARC models is recommended before they can be reliably applied to all HBPS.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biological models; Dermal; Developmental toxicity; HPV Challenge Program; High-boiling petroleum substances; Mixtures toxicity; Polycyclic aromatic compounds; QCAR modeling; Rat; UVCB

Mesh:

Substances:

Year:  2013        PMID: 23680405     DOI: 10.1016/j.yrtph.2013.05.003

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


  4 in total

1.  Grouping of Petroleum Substances as Example UVCBs by Ion Mobility-Mass Spectrometry to Enable Chemical Composition-Based Read-Across.

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.  How similar is similar enough? A sufficient similarity case study with Ginkgo biloba extract.

Authors:  Natasha R Catlin; Bradley J Collins; Scott S Auerbach; Stephen S Ferguson; James M Harnly; Chris Gennings; Suramya Waidyanatha; Glenn E Rice; Stephanie L Smith-Roe; Kristine L Witt; Cynthia V Rider
Journal:  Food Chem Toxicol       Date:  2018-05-09       Impact factor: 6.023

3.  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

4.  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

  4 in total

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