کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
6313028 1619037 2016 20 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Interpretation of fish biomarker data for identification, classification, risk assessment and testing of endocrine disrupting chemicals
ترجمه فارسی عنوان
تفسیر داده های بیومارکر ماهی برای شناسایی، طبقه بندی، ارزیابی ریسک و آزمایش مواد شیمیایی خراب کننده غدد درون ریز
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم محیط زیست شیمی زیست محیطی
چکیده انگلیسی
Chemical induced changes in fish biomarkers vitellogenin (VTG), secondary sex characteristics (SSC), and sex ratio indicate modes/mechanisms of action (MOAs) of EAS (estrogen, androgen and steroidogenesis) pathways. These biomarkers could be used for defining MOAs and the causal link between MOAs and adverse effects in fish for the identification of endocrine disrupting chemicals (EDCs). This paper compiled data sets of 150 chemicals for VTG, 57 chemicals for SSC and 38 chemicals for sex ratio in fathead minnow, medaka and zebrafish. It showed 1) changes in fish biomarkers can indicate the MOAs as anticipated; 2) in addition to EAS pathways, chemicals with non-EAS pathways induced changes in fish biomarkers; 3) responses of fish biomarkers did not always follow the anticipated patterns of EAS pathways. These responses may result from the interaction of chemical-induced multiple MOAs and confounding factors like fish diet, infection, culture conditions, general toxicity and stress response. The complex response of fish biomarkers to a chemical of interest requires EDC testing at multiple biological levels. Interpretation of fish biomarker data should be combined with relevant information at different biological levels, which is critical for defining chemical specific MOAs. The utility of fish biomarker data for identification, classification, PBT assessment, risk assessment, and testing of EDCs in the regulatory context was discussed. This paper emphasizes the importance of fish biomarker data in the regulatory context, a weight of evidence approach for the interpretation of fish biomarker data and the need for defining levels of evidence for the identification of EDCs.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Environment International - Volumes 92–93, July–August 2016, Pages 422-441
نویسندگان
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