首页> 外文期刊>Toxicology in vitro: an international journal published in association with BIBRA >Applying the skin sensitisation adverse outcome pathway (AOP) to quantitative risk assessment
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Applying the skin sensitisation adverse outcome pathway (AOP) to quantitative risk assessment

机译:将皮肤致敏不良后果途径(AOP)应用于定量风险评估

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As documented in the recent OECD report 'the adverse outcome pathway for skin sensitisation initiated by covalent binding to proteins' (OECD, 2012), the chemical and biological events driving the induction of human skin sensitisation have been investigated for many years and are now well understood. Several non-animal test methods have been developed to predict sensitiser potential by measuring the impact of chemical sensitisers on these key events (Adler et al., 2011; Maxwell et al., 2011); however our ability to use these non-animal datasets for risk assessment decision-making (i.e. to establish a safe level of human exposure for a sensitising chemical) remains limited and a more mechanistic approach to data integration is required to address this challenge. Informed by our previous efforts to model the induction of skin sensitisation (Maxwell and MacKay, 2008) we are now developing two mathematical models ('total haptenated protein' model and 'CD8+ T cell response' model) that will be linked to provide predictions of the human CD8+ T cell response for a defined skin exposure to a sensitising chemical. Mathematical model development is underpinned by focussed clinical or human-relevant research activities designed to inform/challenge model predictions whilst also increasing our fundamental understanding of human skin sensitisation. With this approach, we aim to quantify the relationship between the dose of sensitiser applied to the skin and the extent of the hapten-specific T cell response that would result. Furthermore, by benchmarking our mathematical model predictions against clinical datasets (e.g. human diagnostic patch test data), instead of animal test data, we propose that this approach could represent a new paradigm for mechanistic toxicology.
机译:正如最近的经合组织报告“通过共价结合蛋白质引发的皮肤致敏反应的不良结局途径”(经合组织,2012年)中所述,驱动人类皮肤致敏作用的化学和生物学事件已经研究了很多年,并且现在已经很好地进行了研究。了解。通过测量化学增敏剂对这些关键事件的影响,已经开发了几种非动物测试方法来预测增敏剂的潜力(Adler等,2011; Maxwell等,2011)。但是,我们使用这些非动物数据集进行风险评估决策(即为致敏化学物质建立安全的人体暴露水平)的能力仍然有限,因此需要一种更加机械化的数据集成方法来应对这一挑战。在我们先前对皮肤致敏诱导模型进行的努力(Maxwell和MacKay,2008年)的指导下,我们现在正在开发两个数学模型(“半抗原总蛋白”模型和“ CD8 + T细胞反应”模型),这些模型可以提供相关的预测人类CD8 + T细胞反应,使皮肤接触致敏化学物质。专注于临床或与人类有关的研究活动可为数学模型开发提供支持,这些活动旨在为模型提供预测/挑战,同时也增加了我们对人类皮肤过敏的基本认识。通过这种方法,我们旨在量化应用于皮肤的敏化剂的剂量与可能导致的半抗原特异性T细胞反应程度之间的关系。此外,通过对照临床数据集(例如人类诊断斑贴试验数据)而不是动物试验数据对我们的数学模型预测进行基准测试,我们建议这种方法可以代表机械毒理学的新范例。

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