Literature DB >> 24179028

Use of a statistical model to predict the potential for repeated dose and developmental toxicity of dermally administered crude oil and relation to reproductive toxicity.

Richard H McKee1, Mark Nicolich, Timothy Roy, Russell White, Wayne C Daughtrey.   

Abstract

Petroleum (commonly called crude oil) is a complex substance primarily composed of hydrocarbon constituents. Based on the results of previous toxicological studies as well as occupational experience, the principal acute toxicological hazards are those associated with exposure by inhalation to volatile hydrocarbon constituents and hydrogen sulfide, and chronic hazards are associated with inhalation exposure to benzene and dermal exposure to polycyclic aromatic compounds. The current assessment was an attempt to characterize the potential for repeated dose and/or developmental effects of crude oils following dermal exposures and to generalize the conclusions across a broad range of crude oils from different sources. Statistical models were used to predict the potential for repeated dose and developmental toxicity from compositional information. The model predictions indicated that the empirical data from previously tested crude oils approximated a "worst case" situation, and that the data from previously tested crude oils could be used as a reasonable basis for characterizing the repeated dose and developmental toxicological hazards of crude oils in general.

Entities:  

Keywords:  CAS number 8002-05-9; crude oil; developmental toxicity; petroleum; repeated-dose toxicity

Mesh:

Substances:

Year:  2013        PMID: 24179028     DOI: 10.1177/1091581813504226

Source DB:  PubMed          Journal:  Int J Toxicol        ISSN: 1091-5818            Impact factor:   2.032


  3 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.  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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