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Title: Seasonal variability of oxidative biomarkers, lysosomal parameters, metallothioneins and peroxisomal enzymes in the Mediterranean mussel Mytilus galloprovincialis from Adriatic Sea. Author: Bocchetti R, Regoli F. Journal: Chemosphere; 2006 Nov; 65(6):913-21. PubMed ID: 16678235. Abstract: The Mediterranean mussel, Mytilus galloprovincialis, is a classical sentinel organism for monitoring the biological effects of contaminants through the use of molecular and cellular biomarkers. These biological responses can be modulated also by seasonal changes of both environmental and biological factors, potentially influencing responsiveness and sensitivity to pollutants. The aim of this study was to characterize in a reference mussel population from the Adriatic Sea, the natural fluctuations of several oxidative stress biomarkers widely used in ecotoxicological applications. Analyses of individual antioxidant defenses (catalase, glutathione S-transferases, glutathione reductase, glutathione peroxidases, levels of glutathione) were integrated with those of the total oxyradical scavenging capacity (TOSC-assay), which quantify the overall capability of a tissue to neutralize different forms of oxyradicals. Due to the close relationship between antioxidant efficiency and onset of various cellular alteration, the seasonal characterization was carried out also on lysosomal membrane stability, accumulation of malondialdehyde, neutral lipids and lipofuscin, levels of metallothioneins and activity of peroxisomal enzymes (acyl-CoA oxidase and d-aminoacid oxidase). Results indicated a significant seasonality for several biological responses; major variations occurred especially in spring and summer months suggesting the influence of natural factors, such as temperature, reproductive cycle and food availability. The observed seasonal oscillations revealed both similarities and differences with those reported for other Mediterranean mussel populations suggesting that opposite trends can occur when the same environmental prooxidant factors have a different regional influence.[Abstract] [Full Text] [Related] [New Search]