4.5 Article

Exposure to the pesticides linuron, dimethomorph and imazalil alters steroid hormone profiles and gene expression in developing rat ovaries

期刊

TOXICOLOGY LETTERS
卷 373, 期 -, 页码 114-122

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ELSEVIER IRELAND LTD
DOI: 10.1016/j.toxlet.2022.11.010

关键词

Ovary; Anti-androgens; Endocrine disrupting chemicals; gonadotropins; reproduction; pesticides; fetal

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Inhibiting androgen signaling during critical stages of ovary development may disrupt folliculogenesis and impact reproductive function. Developmental exposure to anti-androgenic chemicals, such as pesticides, can alter hormone profiles and gene expression in female rats, potentially leading to impaired follicle growth. Integrating data from multiple endocrine axes is crucial for investigating the effects of endocrine disruptors on female reproductive development and function.
Inhibition of androgen signaling during critical stages of ovary development can disrupt folliculogenesis with potential consequences for reproductive function later in life. Many environmental chemicals can inhibit the androgen signaling pathway, which raises the question if developmental exposure to anti-androgenic chemicals can negatively impact female fertility. Here, we report on altered reproductive hormone profiles in prepubertal female rats following developmental exposure to three pesticides with anti-androgenic potential: linuron (25 and 50 mg/kg bw/d), dimethomorph (60 and 180 mg/kg bw/d) and imazalil (8 and 24 mg/kg bw/d). Dams were orally exposed from gestational day 7 (dimethomorph and imazalil) or 13 (linuron) until birth, then until end of dosing at early postnatal life. Linuron and dimethomorph induced dose-related reductions to plasma corticosterone levels, whereas imazalil mainly suppressed gonadotropin levels. In the ovaries, expression levels of target genes were affected by linuron and dimethomorph, suggesting impaired follicle growth. Based on our results, we propose that anti-androgenic chemicals can negatively impact female reproductive development. This highlights a need to integrate data from all levels of the hypothalamic-pituitary-gonadal axis, as well as the hypothalamic-pituitary-adrenal axis, when investigating the potential impact of endocrine disruptors on female reproductive development and function.

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