2011. 4. 8. Mixture effects of imidazole fungiceds on cortisol and aldosterone 서지현
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작성자 환경독성학 작성일15-03-17 23:34 조회547회 댓글0건관련링크
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Mixture effects of imidazole fungicides on cortisol and aldosterone secretion in
human adrenocortical H295R cells ?sa Ohlssona, Nina Cedergreenb, Agneta
Oskarssona, Erik Uller?sa Abstract Exposure to chemicals commonly occurs in the
form of mixtures. Methods and models are required to analyze and predict the
effect of mixtures in order to improve risk assessment. The steroidogenesis and
hormone production of the adrenal gland is a sensitive target for
endocrine-disrupting chemicals including imidazoles. Here, we exposed human
adrenocortical H295R cells to the individual imidazole fungicides prochloraz,
ketoconazole, imazalil and their mixtures and analyzed the effects on secretion
of cortisol and aldosterone and the effects on steroidogenic gene expression.
The individual imidazole fungicides prochloraz, ketoconazole and imazalil and
their mixtures inhibited cortisol secretion in a similar monotonic dose?response
pattern with an EC50 value of approximately 0.1M. Aldosterone secretion, in
contrast, displayed a biphasic dose?response, with low-dose stimulation of up to
maximum twofold and high-dose inhibition. Biphasic dose?responses were found
following prochloraz and ketoconazole exposure and their mixtures, but not
following imazalil exposure. The inhibition of cortisol secretion was equally
well predicted with the concentration addition (CA) and independent action (IA)
models, while the biphasic aldosterone response was partially predicted by a
modified CA model and not predicted well by a modified IA model. Changes in
expression levels of steroidogenic genes could not conclusively explain the
different effects on the two hormone endpoints or the different specificities of
the imidazoles. We conclude that single imidazoles and mixtures have specific
effects on adrenal hormone secretion. These effects can only partly be predicted
using current models and need to be further analyzed in terms of in vivo
relevance and human risk assessment.
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