Towards a non-animal risk assessment for anti-androgenic effects in humans

不良结局途径 体外 体内 体外毒理学 药理学 动物试验 下丘脑 人体研究 动物研究 不利影响 下丘脑-垂体-性腺轴 雄激素受体 二氢睾酮 医学 生物 神经科学 雄激素 内分泌学 内科学 计算生物学 激素 促黄体激素 生物化学 生态学 生物技术 前列腺癌 癌症
作者
Matthew Dent,Paul L. Carmichael,Kevin C. Jones,Francis L. Martin
出处
期刊:Environment International [Elsevier BV]
卷期号:83: 94-106 被引量:18
标识
DOI:10.1016/j.envint.2015.06.009
摘要

Toxicology testing is undergoing a transformation from a system based on high-dose studies in laboratory animals to one founded primarily on in vitro methods that evaluate changes in normal cellular signalling pathways using human-relevant cells or tissues. We review the tools and approaches that could be used to develop a non-animal safety assessment for anti-androgenic effects in humans, with a focus on the molecular initiating events (MIEs) that human disorders indicate critical for normal functioning of the hypothalamus–pituitary–testicular (HPT) axis. In vitro test systems exist which can be used to characterize the effects of test chemicals on some MIEs such as androgen receptor antagonism, inhibition of steroidogenic enzymes or 5α-reductase inhibition. When used alongside information describing the pharmacokinetics of a specific chemical exposure, these could be used to inform a pathways-based safety assessment. However, some parts of the HPT axis such as events occurring in the hypothalamus or pituitary are not well represented by accepted in vitro methods. In vitro tools to characterize perturbations in these events need to be developed before a fully integrated model of the HPT axis can be described. Knowledge gaps also exist which prevent us from using in vitro data to predict the type and severity of in vivo effect(s) that could arise from a given level of in vitro anti-androgenic activity. This means that more work is needed to reliably link an MIE with an adverse outcome. However, especially for chemicals with low anti-androgenic activity, human exposure data can be used to put in vitro mode of action data into context for risk-based safety decision-making.

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