Comprehensive tools and models for addressing exposure to mixtures during environmental emergency-related contamination events

用于解决环境紧急事件相关污染事件期间混合物暴露问题的综合工具和模型

• 批准号: 9693906
• 负责人: Ivan Rusyn
• 金额: $ 0.79万
• 依托单位: TEXAS A&M UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-09-01 至 2022-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9693906
• 关键词: Academia; Acute; Address; Area; Attention; Big Data; Biological; Case Study; Chemical Exposure; Chemicals; Communities; Complex; Complex Mixtures; Computer Simulation; Data Engineering; Data Science; Decision Making; Detection; Disasters; Discipline; Dose; Economic Models; Economics; Education; Emergency Situation; Emergency response; Engineering; Environment; Environmental Health; Environmental Impact; Environmental Pollution; Evaluation; Event; Experimental Models; Exposure to; Floods; Funding; Future; Geoscience; Goals; Government; Hazardous Chemicals; Hazardous Substances; Hazardous Waste Sites; Health; Health Sciences; Human; Human Activities; Hurricane; In Vitro; Individual; Industry; International; Lead; Life; Methods; Modeling; National Institute of Environmental Health Sciences; Pathway interactions; Population; Postdoctoral Fellow; Preventive Intervention; Program Description; Public Health; Quantitative Evaluations; Readiness; Recovery; Research; Research Infrastructure; Research Support; Risk; Risk Assessment; Sampling; Science; Scientist; Ships; Site; Social Impacts; Students; Superfund; Technology Transfer; Texas; Time; Toxic effect; Toxicokinetics; Training; Translating; Translational Research; Translations; Universities; Weather; Work; adverse outcome; analytical method; anthropogenesis; biomedical scientist; cellular imaging; climate change; community organizations; cost; design; economic impact; emergency service responder; hazard; health economics; improved; industry partner; inter-individual variation; interdisciplinary approach; new technology; next generation; novel; novel strategies; outreach; programs; rapid detection; rapid technique; resilience; response; stem cell biology; student training; tool; tool development

Comprehensive tools and models for addressing exposure to mixtures during environmental emergency-related contamination events Overall Program Description Climate change and shifts in domestic economic activity markedly increase risks from catastrophic chemical contamination events resulting from weather-related or anthropogenic emergencies. The complexities of hazardous chemical exposures, potential adverse health impacts, and the need to rapidly and comprehensively evaluate the potential hazards of exposures to complex mixtures call for novel approaches in the Superfund Research Program. This Center brings together a team of scientists from biomedical, geosciences, data science and engineering disciplines to design comprehensive solutions for complex exposure- and hazard-related challenges. Our overall theme is to characterize and manage both existing and environmental emergency-created hazardous waste sites through the development of the tools that can be used by first responders, the impacted communities, and the government bodies involved in site management and cleanup. Our case study is a hurricane or flooding event that impacts Galveston Bay/Houston Ship Channel area and leads to exposure to contaminated sediments. Project 1 will study fate and transport of complex environmental contaminants in sediments and incorporate this information into environmental models. Project 2 will develop novel low-cost broad-acting sorption materials suitable for mitigation of acute exposures to complex contaminant mixtures. Projects 3 and 4 will take advantage of the discoveries in cell imaging and stem cell biology to establish predictive in vitro methods for quantitative evaluation of the complex mixture- perturbed adverse outcome pathways and intra- and inter-individual variability in toxicity. An Exposure Science Core will be developing and applying novel sensitive analytical methods for targeted and un-targeted analysis of a broad array of contaminants in environmental and biological samples. A Data Science Core will develop computational and statistical tools for analysis and integration of “big data” in environmental health. A Decision Science Core will develop an integrated toxicokinetic, human health, and economic models to support environmental health decisions. The Center will engage with community organizations and public health practitioners in Texas to address health concerns of the populations that may be impacted by environmental emergency-related contamination events. We will train students and postdoctoral fellows in inter-disciplinary approaches across our scientific areas, decision making and emergency response. The research translation to local, state, national and international stakeholders will be conducted through technology transfer and comprehensive outreach for the solutions developed by the Center. Finally, the management of this program will be conducted in close partnership with the administration at Texas A&M University and Health Science Center, the NIEHS-funded Center for Translational Environmental Health Research, and overseen by the advisors representing academia, federal and state agencies, industry and a non-governmental organization.

用于解决环境污染期间接触混合物问题的综合工具和模型 与紧急情况有关的污染事件 总体方案说明 气候变化和国内经济活动的转变显著增加了灾难性化学品的风险 与天气有关的或人为的紧急情况造成的污染事件。的复杂性 危险化学品接触、潜在的不利健康影响，以及迅速和 全面评估接触复杂混合物的潜在危害需要新的方法， 超级基金研究计划该中心汇集了来自生物医学， 地球科学、数据科学和工程学科，为复杂的 与暴露和危害有关的挑战。我们的总体主题是描述和管理现有的和 环境紧急情况造成的危险废物的网站，通过开发的工具，可以 由第一响应者、受影响社区和参与现场管理的政府机构使用 还有清理我们的案例研究是影响加尔维斯顿湾/休斯顿船舶的飓风或洪水事件 水道区，并导致暴露于受污染的沉积物。项目1将研究 沉积物中复杂的环境污染物，并将此信息纳入环境模型。 项目2将开发适用于缓解急性接触的新型低成本、广泛作用的吸附材料 复杂的污染物混合物。项目3和4将利用细胞成像的发现， 干细胞生物学建立预测性体外方法，用于定量评价复杂混合物- 干扰不良结局途径和毒性的个体内和个体间变异性。曝光科学 核心将开发和应用新的敏感分析方法，用于靶向和非靶向分析 环境和生物样本中的大量污染物。数据科学核心将开发 计算和统计工具，用于分析和整合环境卫生方面的“大数据”。决定 Science Core将开发综合毒代动力学、人类健康和经济模型来支持 环境健康决策。该中心将与社区组织和公共卫生部门合作， 在得克萨斯州的从业人员，以解决可能受到环境影响的人口的健康问题， 与紧急情况有关的污染事件。我们将培养学生和博士后研究员在跨学科 在我们的科学领域，决策和应急反应的方法。研究翻译 地方、州、国家和国际利益攸关方将通过技术转让和 全面推广该中心开发的解决方案。最后，本方案的管理 将与德克萨斯A&M大学和健康科学学院的管理部门密切合作， 中心，NIEHS资助的转化环境健康研究中心，并由 代表学术界、联邦和州机构、工业界和一个非政府组织的顾问。