ABSTRACT
Sediment toxicity plays a fundamental role in the health of inland fish communities; however, the assessment of the hazard potential of contaminated sediments is not a common objective in environmental diagnostics or remediation. This study examined the potential of transcriptional endpoints investigated in zebrafish (Danio rerio) exposed to riverbed sediments in ecotoxicity testing. Embryo-larval 10-day tests were conducted on sediment samples collected from five sites (one upstream and four downstream of the city of Milan) along a polluted tributary of the Po River, the Lambro River. Sediment chemistry showed a progressive downstream deterioration in river quality, so that the final sampling site showed up to eight times higher concentrations of, for example, triclosan, galaxolide, PAH, PCB, BPA, Ni, and Pb, compared with the uppermost site. The embryo/larval tests showed widespread toxicity although the middle river sections evidenced worse effects, as evidenced by delayed embryo development, hatching rate, larval survival, and growth. At the mRNA transcript level, the genes encoding biotransformation enzymes (cyp1a, gst, ugt) showed increasing upregulations after exposure to sediment from further downstream sites. The genes involved in antioxidant responses (sod, gpx) suggested that more critical conditions may be present at downstream sites, but even upstream of Milan there seemed to be some level of oxidative stress. Indirect evidences of potential apoptotic activity (bcl2/bax < 1) in turn suggested the possibility of genotoxic effects. The genes encoding for estrogen receptors (erα, erß1, erß2) showed exposure to (xeno)estrogens with a progressive increase after exposure to sediments from downstream sites, paralleled by a corresponding downregulation of the ar gene, likely related to antiandrogenic compounds. Multiple levels of thyroid disruption were also evident particularly in downstream zebrafish, as for thyroid growth (nkx2.1), hormone synthesis and transport (tg, ttr, d2), and signal transduction (trα, trß). The inhibition of the igf2 gene reasonably reflected larval growth inhibitions. Although none of the sediment chemicals could singly explain fish responses, principal component analysis suggested a good correlation between gene transcripts and the overall trend of contamination. Thus, the combined impacts from known and unknown covarying chemicals were proposed as the most probable explanation of fish responses. In summary, transcriptional endpoints applied to zebrafish embryo/larval test can provide sensitive, comprehensive, and timeliness information which may greatly enable the assessment of the hazard potential of sediments to fish, complementing morphological endpoints and being potentially predictive of longer studies.
Subject(s)
Water Pollutants, Chemical/analysis , Zebrafish , Animals , Embryo, Nonmammalian , Endocrine System , Geologic Sediments , Larva , RiversABSTRACT
Member States of the EU are required to monitor the use of pharmacologically active substances in food-producing animals. There is evidence, however, that the target-based approach currently applied in official monitoring plans might under-estimate the real incidence of growth promoter abuse in livestock. As demonstrated for sex hormones, the association of effect-oriented biological screening with chemical confirmatory techniques could be the best strategy in revealing the abuse of veterinary drugs. Here we demonstrate the reliability of a cell-based assay to screen calf urine samples for synthetic glucocorticoids. The validation included the most widely used synthetic drugs (flumethasone, dexamethasone, betamethasone, methylprednisolone and prednisolone) and was developed according to the Commission Decision 2002/657/EC, thus including the verification of cut-off level, the ß error, the specificity, ruggedness and stability. The study was carried out using prednisolone as representative substance at 5 ng mL-1 concentration. All blank and spiked urine fulfilled the EU criteria, moreover the method resulted in being specific and sound, and the analytes in urine were stable for at least 30 days. The assay results indicated its suitability for a qualitative analysis of calf urine samples. This method enabled the detection of low doses of synthetic glucocorticoids (GCs) in matrix (<2 ng mL-1 for flumethasone, dexamethasone, betamethasone; < 4 ng mL-1 for methylprednisolone; 5 ng mL-1 for prednisolone), with the possibility of detecting new or unknown molecules and cumulative effects of low-level mixtures with glucocorticoid bioactivity.
Subject(s)
Biological Assay , Glucocorticoids/urine , Animals , Cattle , Chromatography, Liquid , Glucocorticoids/chemical synthesis , Glucocorticoids/metabolism , Luciferases/genetics , Luciferases/metabolism , Spectrometry, Mass, Electrospray IonizationABSTRACT
Small molecules like antibiotics or other pharmaceuticals can be detected and quantified, among others, with indirect competitive immunoassays. With regard to multiplex quantification, these tests can be performed as chemiluminescence microarray immunoassays, in which, in principle, the analyte in the sample and the same substance immobilized on the chip surface compete for a limited number of specific antibody binding sites. The amount of the specific primary antibody that has been bound to the surface is visualized by means of a chemiluminescence reaction.Validated quantitative confirmatory methods for the detection of contaminants, for example drug residues, in food samples usually comprise chromatographic analysis and spectrometric detection, e.g., HPLC-MS, GC-MS, or GC with electron capture detection. Here, we describe a validation procedure (according to the Commission Decision of the European Communities 2002/657/EC) for multiplex immunoassays performed as flow-through chemiluminescence microarrays, using the example of a small molecule microarray for the simultaneous detection of 13 antibiotics in milk. By this means, we suggest to accept multianalyte immunoassays as confirmatory methods as well, to benefit from the advantages of a fast automated method that does not need any pretreatment of the sample. The presented microarray chip is regenerable, so an internal calibration is implemented. Therefore, the analytical results are highly precise, combined with low costs (the aim for commercialization is less than 1 per analyte per sample, this is significantly less than HPLC-MS).