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In the present study, mussel (Mytilus galloprovincialis) digestive gland oxidative stress biomarkers and detoxification responses to acute exposure to nickel (Ni) were investigated. Mussels were exposed to two sublethal concentrations of Ni (135μg/L per animal (2.5μM) and 770μg/L per animal (13μM)) for 24, 48, 72, 96h and 8 days. Following biological responses were measured: (1) glutathione S-transferase (GST) activity as a phase II conjugation enzyme, (2) catalase activity as antioxidant response, (3) malondialdehyde accumulation (MDA) as lipid peroxydation marker and metallothionein as specific response to metals exposure. The cholinergic system was evaluated using the acetylcholinesterase activity (AChE). Moreover, Ni uptakes during the exposure periods were assessed and the uptake rate constant determined. A correlation matrix (CM) between the investigated biomarkers and a principal component analysis (PCA) were achieved for the two tested concentrations. The Ni-uptake constant was higher in animals exposed to the lowest concentration. The CM and the PCA showed a time-dependent effect of the Ni exposure on the investigated biomarkers being more pronounced in animals exposed to the highest Ni concentration. While AChE showed a significant increase after 48h and a further return to control values in the lowest concentration, it was drastically maintained inhibited in the highest concentration. Our data provided clues about the occurrence of different toxicokinetics and toxicodynamics of two Ni sublethal concentrations in an ecologically relevant organism. [Copyright &y& Elsevier]

Abstract: Theoretical work has shown that the isobole method is not generally valid as a method for testing the absence or presence of interaction (in the biochemical sense) between chemicals. The present study illustrates how interaction can be tested by fitting a toxicodynamic model to the results of a mixture experiment. The inhibition of cholinesterases (ChE) in human whole blood by various dose combinations of paraoxon and methamidophos was measured in vitro. A toxicodynamic model describing the processes related to both OPs in inhibiting AChE activity was developed, and fit to the observed activities. This model, not containing any interaction between the two OPs, described the results from the mixture experiment well, and it was concluded that the OPs did not interact in the whole blood samples. While this approach of toxicodynamic modeling is the most appropriate method for predicting combined effects, it is not rapidly applicable. Therefore, we illustrate how toxicodynamic modeling can be used to explore under which conditions dose addition would give an acceptable approximation of the combined effects from various chemicals. In the specific case of paraoxon and methamidophos in whole blood samples, it was found that dose addition gave a reasonably accurate prediction of the combined effects, despite considerable difference in some of their rate constants, and mildly non-parallel dose–response curves. Other possibilities of validating dose-addition using toxicodynamic modeling are briefly discussed. [Copyright &y& Elsevier]

The purpose of this paper is to describe the use of toxicokinetic (TK) and toxicodynamic (TD) data in setting acceptable daily exposure (ADE) values and occupational exposure limits (OELs). Use of TK data can provide a more robust exposure limit based on a rigorous evaluation of systemic internal dose. Bioavailability data assist in extrapolating across different routes of exposure to be protective for route-based differences of exposure. Bioaccumulation data enable extrapolation to chronic exposures when the point of departure (PoD) is from a short-term critical study. Applied in the context of chemical-specific adjustment factors (CSAFs), TK data partially replace traditional default adjustment factors for interspecies extrapolation (extrapolation from studies conducted in animals to humans) and intraspecies variability (to account for human population variability). Default adjustments of 10-fold each for interspecies and intraspecies extrapolation are recommended in several guidelines, although some organization recommend other values. Such default factors may overestimate variability for many APIs, while not being sufficiently protective for variability with other APIs. For this reason, the use of chemical specific TK and TD data are preferred. Making full use of existing TK and TD data reduces underlying uncertainties, increases transparency, and ensures that resulting ADEs reflect the best available science. [ABSTRACT FROM AUTHOR]