Predictive Aquatic Ecotoxicology

监管机构和工业界面临着评估与社会中使用的化学品数量不断增加有关的风险的挑战，同时减少成本、动物使用和测试所需的时间。拟议的研究是朝着解决这些挑战迈出的重要一步，为评估污染物对野生动物和人类健康构成的风险提出了新的和改进的方法。该研究将建立定量预测毒性模型（定量不良结果途径），融合新的组学（转录组学和蛋白质组学）和传统的生态毒理学技术。它将提供对保护与人类和环境健康直接相关的水资源至关重要的信息。

Regulators and industry are faced with the challenge of assessing the risks associated with the ever-increasing number of chemicals used in society, while simultaneously reducing cost, animal use and time required for testing. The research proposed represents a significant step towards addressing these challenges by generating novel and improved approaches for the assessment of the risks posed by contaminants to wildlife and human health. The research will establish quantitative predictive toxicity models (quantitative Adverse Outcome Pathways) that fuse novel omic (transcriptomic and proteomic) and traditional ecotoxicology technologies. It will provide information critical for the protection of water resources that are directly linked to human and environmental health.