The objective of this investigation was to determine whether differences in a suite of biomarker assays in brown bullhead liver tissues could be detected and related to the pollution histories of two Ohio locations, one a reach of the Black River that had historically been severely impacted by the effluents of a coking plant, the other at Old Woman Creek, a freshwater estuarine research preserve. There were no gross differences in pathologies detectable in fish from either site, and the major difference found in bullheads at the two sites was in the relative liver weight (RLW). Differential responses of glutathione reductase, glutathione-S-transferase, Se-dependent glutathione peroxidase, Se-independent glutathione peroxidase, and oxidized glutathione have been reported between fish from contaminated and uncontaminated sites in other studies, but no such differences were observed in the present study. Of the oxidative stress biomarkers included in this investigation, only the responses of superoxide dismutase, catalase, and total glutathione appeared to correlate with environmental exposure of brown bullhead to polycyclic aromatic hydrocarbons. Results with single-strand DNA and ethoxyresorufin-O-deethylase were the reverse of what has been reported in most other studies, and may reflect adaptation of the fish at the previously highly contaminated site. The fish at the Black River site appear to have responded to the xenobiotics present in their environment by increasing their overall liver size, thereby increasing the overall amount of enzymes rather than altering the specific activity of a select set of protective enzymes.http://link.springer-ny. com/link/service/journals/00244/bibs/37n2p236.html

Chemical management programs strive to protect human health and the environment by accurately identifying persistent, bioaccumulative, toxic substances and restricting their use in commerce. The advance of these programs is challenged by the reality that few empirical data are available for the tens of thousands of commercial substances that require evaluation. Therefore, most preliminary assessments rely on model predictions and data extrapolation. In November 2005, a workshop was held for experts from governments, industry, and academia to examine the availability and quality of in vivo fish bioconcentration and bioaccumulation data, and to propose steps to improve its prediction. The workshop focused on fish data because regulatory assessments predominantly focus on the bioconcentration of substances from water into fish, as measured using in vivo tests or predicted using computer models. In this article we review of the quantity, features, and public availability of bioconcentration, bioaccumulation, and biota–sediment accumulation data. The workshop revealed that there is significant overlap in the data contained within the various fish bioaccumulation data sources reviewed, and further, that no database contained all of the available fish bioaccumulation data. We believe that a majority of the available bioaccumulation data have been used in the development and testing of quantitative structure–activity relationships and computer models currently in use. Workshop recommendations included the publication of guidance on bioconcentration study quality, the combination of data from various sources to permit better access for modelers and assessors, and the review of chemical domains of existing models to identify areas for expansion.

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