title: Integrated biomarker responses as environmental status descriptors of a coastal zone (São Paulo, Brazil).
abstract: São Paulo state (Brazil) has one of the most overpopulated coastal zones in South America, where previous studies have already detected sediment and water contamination. However, biological-based monitoring considering signals of xenobiotic exposure and effects are scarce. The present study employed a battery of biomarkers under field conditions to assess the environmental quality of this coastal zone. For this purpose, the activity of CYP 450, antioxidant enzymes, DNA damage, lipid peroxidation and lysosomal membrane were analysed in caged mussels and integrated using Factorial Analysis. A representation of estimated factor scores was performed in order to confirm the factor descriptions characterizing the studied areas. Biomarker responses indicated signals of mussels' impaired health during the monitoring, which pointed to the impact of different sources of contaminants in the water quality and identified critical areas. This integrated approach produced a rapid, sensitive and cost-effective assessment, which could be incorporated as a descriptor of environmental status in future coastal zones biomonitoring.
authors: Universidade Santa Cecília, Laboratório de Ecotoxicologia, Oswaldo Cruz 266-11045-907, Santos, SP, Brazil. camilo@unisanta.br
authors: Camilo Dias Seabra
authors: CD
authors: Pereira
authors: María Laura
authors: ML
authors: Martin-Díaz
authors: Juliano
authors: J
authors: Zanette
authors: Augusto
authors: A
authors: Cesar
authors: Rodrigo Brasil
authors: RB
authors: Choueri
authors: Denis Moledo de Souza
authors: DM
authors: Abessa
authors: Marilia Gabriela M
authors: MG
authors: Catharino
authors: Marina B A
authors: MB
authors: Vasconcellos
authors: Afonso Celso Dias
authors: AC
authors: Bainy
authors: Eduinetty Ceci Pereira Moreira
authors: EC
authors: de Sousa
authors: Tomas Angel
authors: TA
authors: Del Valls
mesh_terms: D000818:Animals; D015415:Biomarkers / Q000378:metabolism; D049872:Bivalvia / Q000187:drug effects* / Q000378:metabolism; D001938:Brazil; D002374:Catalase / Q000378:metabolism; D019363:Cytochrome P-450 CYP1A1 / Q000378:metabolism; D003577:Cytochrome P-450 Enzyme System / Q000378:metabolism*; D004249:DNA Damage; D004784:Environmental Monitoring / Q000191:economics / Q000379:methods*; D005452:Fluoresceins / Q000378:metabolism; D005979:Glutathione Peroxidase / Q000378:metabolism; D005982:Glutathione Transferase / Q000378:metabolism; D015227:Lipid Peroxidation / Q000187:drug effects; D051907:Lysosomal Membrane Proteins / Q000378:metabolism; D012621:Seasons; D012623:Seawater / Q000737:chemistry; D014874:Water Pollutants, Chemical / Q000032:analysis / Q000633:toxicity*
chemical_list: D015415:Biomarkers; D005452:Fluoresceins; D051907:Lysosomal Membrane Proteins; D014874:Water Pollutants, Chemical; C558664:dibenzylfluorescein; D003577:Cytochrome P-450 Enzyme System; D002374:Catalase; D005979:Glutathione Peroxidase; D019363:Cytochrome P-450 CYP1A1; D005982:Glutathione Transferase