Evaluation of Potential DNA-Damaging Effects of Nitenpyram and Imidacloprid in Human U937-Cells Using a New Statistical Approach to Analyse Comet Data
Autor: | Björn Hellman, Anders Berglund, Erik Bivehed, Anton Gustafsson |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Health
Toxicology and Mutagenesis Comet Imidacloprid Pharmacology and Toxicology 010501 environmental sciences medicine.disease_cause 01 natural sciences 03 medical and health sciences chemistry.chemical_compound Neonicotinoids medicine 030304 developmental biology 0105 earth and related environmental sciences Water Science and Technology Nitenpyram 0303 health sciences Public Health Environmental and Occupational Health Farmakologi och toxikologi Pollution Metabolic bioactivation In vitro comet assay chemistry Biochemistry Statistical analysis of comet data DNA damage Genotoxicity DNA |
Popis: | Even if the two neonicotinoids nitenpyram and imidacloprid have been considered safe for humans, their potential genotoxicity still remains a matter of discussion. The DNA-damaging effects of these two compounds were therefore evaluated in a lymphoma cell line of human origin (U-937) using the comet assay after 3-h exposure to up to 50 μM, with or without metabolic activation using S9 from human liver. The comet data were analysed using a traditional one-way ANOVA after pooling the data on cellular level, and a new alternative approach we have called Uppsala Comet Data Analysis Strategy (UCDAS). UCDAS is a proportional odds model tailored to continuous outcomes, taking the number of pooled cultures, slides and cells into consideration in the same analysis. To the best of our knowledge, the UCDAS approach when analysing comet data has never been presented before. Without metabolic activation, no increase in DNA damage was observed in the neonicotinoide-exposed cells. Nitenpyram was also without DNA-damaging effects when S9 was added. However, in the presence of S9, imidacloprid was found to increase the level of DNA damage. Whereas the ANOVA showed an increase (P P |
Databáze: | OpenAIRE |
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