CIBICI   14215
CENTRO DE INVESTIGACION EN BIOQUIMICA CLINICA E INMUNOLOGIA
Unidad Ejecutora - UE
congresos y reuniones científicas
Título:
Selection of biomarkers to evidence atenolol effects on fish
Autor/es:
VALDÉS, MARÍA EUGENIA; WUNDERLIN, DANIEL A.; BISTONI MA. DE LOS ANGELES
Lugar:
Buenos Aires
Reunión:
Congreso; SETAC Latin America 11th Biennial Meeting. The role of science in environmental decision-making; 2015
Institución organizadora:
SETAC LA
Resumen:
Atenolol is a β-blocker (β1 receptor antagonist) pharmaceutical used to treat hypertension and cardiovascular diseases. It has been frequently detected in several urban rivers given its high consumption, low hepatic metabolism (mainly excreted as parental drug), low percentage of removal in wastewater treatment plants (WWTP), stability upon microbial degradation and low sediment absorption. In the Suquía River basin (Córdoba, Argentina) atenolol has been detected in river water (up to 0.5 μg/L) and fish samples (up to 14 ng/g wet wt.). Given the few ecotoxicological data reported, different effect endpoints were measured under laboratory conditions on an already proposed bioindicator fish species inhabiting Suquia river, Jenynsia multidentata (Anablepidae, Cyprinodontiformes). The main goal of this study was to identify the most efficient biomarkers to evidence effects of atenolol on fish. Female adults of J. multidentata (0.5±0.2 g; 29±2 mm) were exposed to 0.002% methanol (control), 1 μg/L atenolol (environmentally relevant concentration) and 50 μg/L atenolol during 14 days under semi-static conditions (media renewed every 48 h, atenolol concentration measured before and after renewal). Effect biomarkers evaluated included: biotransformation (microsomal and cytosolic glutathione S-transferase-GSTm, GSTc) and antioxidant (catalase-CAT, glutathione peroxidase-GPx and glutathione reductase-GR) enzymatic activity, acetylcholinesterase activity (AChE) and swimming behavior variables (distance and average speed). Stepwise linear discriminant analysis (DA) was carried out to select most efficient biomarkers to discriminate between exposed and control fish (3 groups) using Statistica 8.0 software. Upon 24 variables analyzed, DA selected 6 variables to discriminate between groups with 100% accuracy by forward stepwise method. These variables were: brain AChE, intestine GSTm, intestine CAT, brain GR, gills GPx and gills CAT, of which the first 3 were the most important. DA by backward stepwise method only selected brain AChE as the minimal variable to discriminate between groups with 78% accuracy. Therefore brain AChE was the most effective biomarker to discriminate between atenolol exposed and control fish and it is proposed as a useful atenolol effect biomarker in fish under laboratory conditions.