Literature DB >> 18366260

Modeling polycyclic aromatic hydrocarbon bioaccumulation and metabolism in time-variable early life-stage exposures.

Rooni Mathew1, Joy A McGrath, Dominic M Di Toro.   

Abstract

Recent laboratory investigations into the bioaccumulation and toxicity of polycyclic aromatic hydrocarbons (PAH) have focused on low-level, time-variable exposures to early life-stage fish. Polycyclic aromatic hydrocarbon body-burden residues reported in these studies were lower than critical body-burden residues predicted by the target lipid model (TLM). To understand this discrepancy, a time-variable uptake and depuration model of PAH bioaccumulation was developed. Kinetic constants were fit using measured exposure and tissue concentrations. The resulting lipid-water partition coefficients (K(LW)) were uncorrelated with the octanol-water partition coefficient (K(OW))--a qualitatively unrealistic finding considering that numerous studies have reported a positive correlation between the two. Because PAHs are known to be metabolized, the comparison of K(LW) with K(OW) suggests that metabolism may be occurring in early life-stage fish. Therefore, the uptake and depuration model was modified to include metabolism while assuming linearity of K(LW) with K(OW). Calculated metabolism rates were positively correlated with K(OW)--a finding qualitatively similar to those of other studies. The present study provides a reasonable explanation for the discrepancy between the TLM predictions and the measured toxic effect levels. Given the time-variable exposure concentrations, the maximum measured body burdens used to relate to toxic effects may be underestimated. In addition, the maximum body burden of parent PAH plus metabolites may be a better measure in relating tissue concentrations to toxic effects. Incorporating these refinements in relating body burdens to toxic effects may result in a better comparison between TLM predictions and measured effect levels.

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Year:  2008        PMID: 18366260     DOI: 10.1897/07-355.1

Source DB:  PubMed          Journal:  Environ Toxicol Chem        ISSN: 0730-7268            Impact factor:   3.742


  6 in total

1.  Structurally distinct polycyclic aromatic hydrocarbons induce differential transcriptional responses in developing zebrafish.

Authors:  Britton C Goodale; Susan C Tilton; Margaret M Corvi; Glenn R Wilson; Derek B Janszen; Kim A Anderson; Katrina M Waters; Robert L Tanguay
Journal:  Toxicol Appl Pharmacol       Date:  2013-05-05       Impact factor: 4.219

2.  Comparative developmental toxicity of a comprehensive suite of polycyclic aromatic hydrocarbons.

Authors:  Mitra C Geier; Anna C Chlebowski; Lisa Truong; Staci L Massey Simonich; Kim A Anderson; Robert L Tanguay
Journal:  Arch Toxicol       Date:  2017-11-01       Impact factor: 5.153

3.  A Perspective on the Toxicity of Low Concentrations of Petroleum-Derived Polycyclic Aromatic Hydrocarbons to Early Life Stages of Herring and Salmon.

Authors:  David S Page; Peter M Chapman; Peter F Landrum; Jerry Neff; Ralph Elston
Journal:  Hum Ecol Risk Assess       Date:  2012-03-16       Impact factor: 5.190

Review 4.  Influence of exposure and toxicokinetics on measures of aquatic toxicity for organic contaminants: a case study review.

Authors:  Peter F Landrum; Peter M Chapman; Jerry Neff; David S Page
Journal:  Integr Environ Assess Manag       Date:  2013-02-20       Impact factor: 2.992

5.  The acute toxicity of chemically and physically dispersed crude oil to key Arctic species under Arctic conditions during the open water season.

Authors:  William W Gardiner; Jack Q Word; Jack D Word; Robert A Perkins; Kelly M McFarlin; Brian W Hester; Lucinda S Word; Collin M Ray
Journal:  Environ Toxicol Chem       Date:  2013-08-14       Impact factor: 3.742

6.  Oil droplet fouling and differential toxicokinetics of polycyclic aromatic hydrocarbons in embryos of Atlantic haddock and cod.

Authors:  Lisbet Sørensen; Elin Sørhus; Trond Nordtug; John P Incardona; Tiffany L Linbo; Laura Giovanetti; Ørjan Karlsen; Sonnich Meier
Journal:  PLoS One       Date:  2017-07-05       Impact factor: 3.240

  6 in total

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