Predicting dredging-associated effects to coral reefs in Apra Harbor, Guam - Part 1: Sediment exposure modeling.

Model studies were conducted to investigate the potential coral reef sediment exposure from dredging associated with proposed development of a deepwater wharf in Apra Harbor, Guam. The Particle Tracking Model (PTM) was applied to quantify the exposure of coral reefs to material suspended by the dredging operations at two alternative sites. Key PTM features include the flexible capability of continuous multiple releases of sediment parcels, control of parcel/substrate interaction, and the ability to efficiently track vast numbers of parcels. This flexibility has facilitated simulating the combined effects of sediment released from clamshell dredging and chiseling within Apra Harbor. Because the rate of material released into the water column by some of the processes is not well understood or known a priori, the modeling approach was to bracket parameters within reasonable ranges to produce a suite of potential results from multiple model runs. Sensitivity analysis to model parameters is used to select the appropriate parameter values for bracketing. Data analysis results include mapping the time series and the maximum values of sedimentation, suspended sediment concentration, and deposition rate. Data were used to quantify various exposure processes that affect coral species in Apra Harbor. The goal of this research is to develop a robust methodology for quantifying and bracketing exposure mechanisms to coral (or other receptors) from dredging operations. These exposure values were utilized in an ecological assessment to predict effects (coral reef impacts) from various dredging scenarios.

Predicting dredging-associated effects to coral reefs in Apra Harbor, Guam - Part 2: Potential coral effects.

Coral reefs are in decline worldwide due to anthropogenic stressors including reductions in water and substratum quality. Dredging results in the mobilization of sediments, which can stress and kill corals via increasing turbidity, tissue damage and burial. The Particle Tracking Model (PTM) was applied to predict the potential impacts of dredging-associated sediment exposure on the coral reef ecosystems of Apra Harbor, Guam. The data were interpreted using maps of bathymetry and coral abundance and distribution in conjunction with impact parameters of suspended sediment concentration (turbidity) and sedimentation using defined coral response thresholds. The results are presented using a "stoplight" model of negligible or limited impacts to coral reefs (green), moderate stress from which some corals would be expected to recover while others would not (yellow) and severe stress resulting in mortality (red). The red conditions for sediment deposition rate and suspended sediment concentration (SSC) were defined as values exceeding 25 mg cm(-2) d(-1) over any 30 day window and >20 mg/l for any 18 days in any 90 day period over a column of water greater than 2 m, respectively. The yellow conditions were defined as values >10 mg cm(-2) d(-1) and <25 mg cm(-2) d(-1) over any 30 day period, and as 20% of 3 months' concentration exceeding 10 mg/l for the deposition and SSC, respectively. The model also incorporates the potential for cumulative effects on the assumption that even sub-lethal stress levels can ultimately lead to mortality in a multi-stressor system. This modeling approach can be applied by resource managers and regulatory agencies to support management decisions related to planning, site selection, damage reduction, and compensatory mitigation.

An HPLC method for the indirect quantification of a quinone adduct of the drug paroxetine.

An HPLC method has been developed which enables the quantification of low levels of a catechol derivative and a quinone adduct of paroxetine in the presence of excess drug substance. Due to its inherent instability, the paroxetine quinone adduct is not available as a pure compound so that an indirect method was developed for its quantification. This procedure is based on the assumption that one molecule of the catechol (or more precisely the corresponding 1,2-benzoquinone) reacts with one molecule of paroxetine to produce one molecule of paroxetine quinone adduct. In the presence of paroxetine excess, pseudo-first-order kinetics was used to study the formation of the unstable product. A detector response factor for the paroxetine quinone adduct was calculated as a function of the response factor for the paroxetine catechol derivative, after considering a mass balance of the reaction. Using the methodology outlined, quantitative analysis was carried out of the paroxetine catechol derivative and the paroxetine quinone adduct in batches of paroxetine drug substance.

Protein expression changes in the Sprague Dawley rat liver proteome following administration of peroxisome proliferator activated receptor alpha and gamma ligands.

Peroxisome proliferator activated receptors (PPARs) are members of the nuclear receptor superfamily and are intimately involved in lipid metabolism and energy homeostasis. Activation of these receptors in rodents can lead to hepatomegaly and ultimately hepatic carcinogenesis although the mechanisms by which these processes occur are poorly understood. To further our understanding of these processes and to discriminate between different PPAR mediated signalling pathways, a proteomic approach has been undertaken to identify changes in protein expression patterns in Sprague Dawley rat liver following dosing with a PPARalpha agonist (Wyeth 14643), a PPARgamma agonist (Troglitazone) and a compound with mixed PPARalpha/gamma agonist activity (SB-219994). Using one-and-two-dimensional electrophoresis of tissue lysates a diverse range of protein abundance changes was observed in these tissues. Whilst a number of these proteins have PPAR response elements (PPREs) in their respective promoters, another group was detected whose expression has been documented to be sensitive to peroxisome proliferator administration. Most notably within these groups, proteins involved in lipid catabolism displayed increased expression following drug administration. A further subset of proteins, with less obvious biological implications, also showed altered expression patterns. Where available, sequences upstream of the coding regions of genes not previously known to have PPREs were searched with positional consensus matrices for the presence of PPREs in an attempt to validate these changes. Using such an approach putative PPARgamma and PPARdelta response elements were discovered upstream of the tubulin beta coding region. There was limited overlap in observed protein abundance changes between the three groups, and where this was the case (cytosolic epoxide hydrolase, peroxisomal bifunctional enzyme, hydroxymethyl glutaryl CoA, synthase, long chain acyl-CoA thioesterase), expression of these proteins had previously been shown to be under the control of PPAR activity.

Protein expression analysis of drug-mediated hepatotoxicity in the Sprague-Dawley rat.

This study has investigated the protein changes in rat liver elicited by a group of model hepatotoxicants, methapyrilene, cyproterone acetate and dexamethasone and offers a compelling argument in support of the use of two-dimensional polyacrylamide gel electrophoresis and mass spectrometry for the identification of compound specific biomarkers. The different treatments caused distinct changes to the rat liver proteome. Many of the protein changes could be associated with the known pharmacological and toxicological mechanisms of action of these drugs, whereas for other proteins, the rationale behind the alterations was less obvious. Furthermore, these changes can be used to classify the treatments with a view to utilising them as 'molecular signatures' to further our understanding of less well studied drugs such as SKF-106686 (an adrenoreceptor agonist). This approach has the potential for opening up new avenues for the exploration of molecular mechanisms of toxicity. This paper has explored the feasibility of proteomics to provide valuable information on the biochemical consequences elicited by hepatototoxic drugs.